05/01/2023#
139. sampling#
throughout musical history composers have often fallen back on materials either from their own earlier works of those of other composers
a proclivity that reached its height in the renaissance; most of the many great masses of palestrina and lassus are bult on chnasons and motets
which were elaborated with the highest artistry and subtle, complicated technique
replenishing new owrks with previously composed music continued in the baroque, and incipits of sonata-form works in the classic era still came from the public domain
early
renaissance
baroque
classical
romantic
modern
at first sight nothing seems more absurd, and less in keeping with any notion of creativity; but what mattered to these musicians was not
originality
of invention… supreme creed of the romantics, but what happens to the borrowed material (metaphor: borrow, invest, roi)
originality and invention went into the elaboration, hence the ornateness of baroque! [45]
paul henry lang. handel: 300 years on. the musical times, feb., 1985, vol. 126, no. 1704, handel tercentenary issue, pp. 77-84
140. elaboration#
these notes completely transformed her presentation
i believe she’s all set for today lab practice session
and we had a marvelous discussion about cats, geriatrics, …
thb and its jalapeno cheddar bagels
not to mention abby smiths work and its relevance to our work
we have a renewed interest in predonation insurance status as a risk factor: the golden goose?
perhaps not cardiovascular disease and diabetes?
of course apply bayesian a priori and posteriori inferences to these post-donation variables
141. gamechanger#
142. cafe#
143. random#
I don’t buy that this is a random playlist of the 25k songs in my library!
144. tuition remission#
edassist is new, painful
vigilance next time
check around 08/10/2023
145. julia lopez#
research coordinator for cameorn & king
specifically the donor-communication projects
its her sort of remarks that we should wish every audience to make!
146. kaplan-meier#
trc member found a correlation between riskset and cumulative incidence
and so many other such remarks and related suggestions by others
including faculty! something rotten in the state of denmark?
147. conflict#
extremely limited time
time of the essence
rasheeda vs. ds4ph hw7-10
148. para siempre#
149. amy#
predonation insurance
best chance for postdonation vigilance
thats for most donors (93%)
uninsured not in surveillance system
two-year mandated followup is ludicrous
and we show that diabetes and cardiovascular disease might be caught in their tracks
via the sentinel event of hospitalization
150. means#
cause
strength… and
-
cause, will, and strength
sensorium, cognitive, muscular
all these are primary, within
but means ar secondary, without
represents ultimate resource: networks!
witness my TAs led by vincent
outstanding johnathan
identified by vincent
and the rest
plus a sui generis – and perfect - jason haw for the advanced class
this is wayyyy beyond my ability to coordinate
beyond my vision and anticipation
therefore this is the ultimate human achievement
151. yampanguza#
152. mgb#
ideal lead TA
summer institute & spring term
lets wait and see…
153 je ne sais quoi#
5 miles to empty
my heart is running low, whoa
i need a good man to fill me up
i need a good man to give me love
154. jury#
is out
on the issues
ranking:
hamlet
romeo & juliet
macbeth
king lear
tempest/othello
midsummer nights dream
05/02/2023#
155. amooti#
1942-2023
i’m against hosp
nhl,bph,nx?
saline->delirium
coup de grace
156. learning#
supervised
unsupervised
reinforced
157. mgb#
not available for summer
but is on for next spring
wonderful opportunity
158. tuition#
159. cluster#
ssh amuzaal1@jhpce01.jhsph.edu
ls -alh
qrsh -l h_vmem=17G
stata-mp
echo stata-mp -b do my.nber.data.do -> my.nber.data.sh
qsub -l mem_free=17G,h_vmem=17G,h_fsize=17G my.nber.data.sh
qstat
qdel
qacct -f /cm/shared/apps/sge/sge-8.1.9/default/common/accounFng_20230220_0300.txt -j JOBID
scp /users/d/desktop/my.nber.data.do amuzaal1@jhpce01.jhsph.edu:/users/amuzaal1/
/users/amuzaal1/
/dcs04/legacy-dcs01-igm/segevlab/data
160. hw0#
introduce it to 340.600 in 2024
will not be graded but feedback will be provided
also trial run in submission process and ta-coordination
161. handel#
interests: life & beauty
not metaphysics: death & sin
thus men & women, heroes, etc.
05/03/2023#
162. chatGPT#
move over, doctor!
enter chatGPT!
this is 2023
163. hiring#
arking
diana call
rita johnson-chase
evan wimmert
update trc leadership/betsy, sarah hussein
he is continuing something from the ergot era
was a jackie garonzik-wang hire
i was the mentor and supervisor
he was an undergrad at princeton
since matriculated at sinai medicine
can he mentor calvin?
both are precocious and use r
any potential conflicts with afv hiring process in trc?
164. dsmb#
study
bayesian
ethics
165. todoby#
andrew/gaby
atc annual fee
hotel
flights
euro aging conference
tuition remission
vincent offer
340.700 book
articulate group task
collaboration
github
publishing: jupyter-book, bookdown
where stand i, stata?
jupyter-book create * build 100% from terminal
debug process for mac vs. microsoft
meet jason on thursday
consult chatGPT
r03/r21
mickey easgleson’s original project as r21?
irb
rasheeda/mara
nhanes/invoice/confirm
rdc paper/wrapup
ds4ph hw7-11
consider atc: june 3-6
dental hygien appt june 7
amy presents june 6
tijuana june 3-4
md drivers license renewal
calvin to be mentored by andrew
diana call/dos expectations
submit in oct
reviewer feedback & score by dec
cost-cutting measures
but i’ll be hiring to change game
and put money where my mouth is
cause, will, strenth, and means… to do it
networks, relationships, mentorship, collegiality, personality inventories
ready for next maidsmd.com?
totally worth each $$
meet with mgb on 4th quarter 2024 lead ta plans
166. personnel#
materials/supplies/other costs ($25,000/year)
developer/programmer, TBN (5% effort, 0.6 cal. mos. in year 1; 10% effort, 1.2 cal. mos. in years 2 – 5)
we request funds to partially cover the costs of a developer/programmer who will be responsible for creating the older donor risk calculator
this will be an interactive online resource that guides discussions between care providers and older donors
we include a 2% salary increase for this position in Years 2 – 5
and include fringe benefits costs in our budget request at the Johns Hopkins published rate of 33.5%.
167. nhats#
study this more
think: unsupervised learning
apply to cohort and r21
discuss with thesis advisory committee
loop in nhats director, jennifer schrack
168. thesis#
julie hoover-fong
dorry segev
betsy king
brian caffo (chair)
fabian johnston
adlen gross
169. marketing#
like google, chatGPT in nascent years
word of mouth, cheer quality & utility of product
focus on ph.340.700 & leverage philosophy of open science
since ph.340.600 is a requirement, no need to target anyone there
get solutions to macOS/microsoftOS differences, terminal, etc.
build a cult following & figure out nih mechanism to finance this
consider for-profit alternatives if idea is that good
eg pharmaco vigilance, fda regulation, etc.
170. nadella#
satya, i finally get u!
github
vscode
teams
onedrive
171. success#
for women its dabbling in the stable part of the distribution and thus involves communal efforts (reliability)
as for men its all about those tails and maybe a partnership with an old-time college buddy (frontiers)
which brings us to the the question of the worlds most dangerous equation ever known to date
172. bookdown#
-
html
latex
gitbook
book
rmarkdown
bookdown
epub
bookdown 0.33 (03/06/2023)
click
source code (zip)
pantheon
bookdown 3.3
inst
examples
index.Rmd
install.packages(“bookdown”)
rstudio ide > new project > new directory > book project
knit
change url?
login
get started
sign in with google
content
publish
rmarkdown file
publish icon
install required packages
connect publishing account
rstudio connect account
try posit for 45
any github equivalent?
not free, not as sexy as jupyter
conclusion?
python > r > stata
173. jupyter#
let me try
using terminal
ask other macOS user
174. bach#
protestantism
created little
in the visual arts
or in architecture
but in music it did:
devotional church songs
chorales
incontestably protestant in spirit
jesuits?
complained
luthers songs turned more people to the new faith
than all the theological writings and preachings
j.h. schein’s chorale settings from 1620s
bruxtehude & brohm
bach: ideal and final development
simple chorale tune
various harmonizations
orgelbuchlein
175. catholicism#
appeals to terror
protestantism to beauty
judaism -> catholicism
thus jesus usurps the great formula
with love & modern times are born
great music and hippies leftists
05/04/2023#
176. egypticism#
177. ds4ph#
apps due a week from tuesday
outstanding homeworks due next thursday
so lets roll this out this week!!
178. ai#
fairness
ethics
responsibility
data -> independent of protected class?
so that biases are not propagated?
like removing race from an algorithm
of course race can be predicted by what remains
dilutes the performances if we get rid of these predictors
ai may detect a token that is spurious
explainable ai may be the way forward
is increase in parsimony really worth loss in performance?
perhaps even applies to eGFR equation (remove race= increased parsimony)
179. bookdown#
jason haw is an oustanding ta
so perfectly cutout for the advanced class
now he’s guided me towards my first bookdown publication:
//rstudio > new project > quarto book > environment > build > render book
git clone https://muzaale.github.io/kulala/
cp -r quarto/* kulala
cd kulala
git add ./*
git commit -m “first”
git push
ghp-import -n -p -f _book
gh-pages branch
view deployment
05/05/2023#
180. ipynb#
several weird shit
but chatGPT advised me to deleted vs code extensions
and manually save .ipynb documents
together these changes have restored some sanity
181. quarto#
successfully created a quarto book with jason haw
then did so again all by myself
now invite class700
182. concession#
didn’t heed my ta’s
students lost it, outraged
finally caved in & will redo rubric
182. officially#
cancelled
by trc
nice, honest talk
with christine
politely asked to not attend analysts
safe space
maybe there’s a delicate balance
of critical & supportive?
183. \(d^3\)#
diana
diane
deee
charm-offensive
charm? offensive!
184 windows#
almost there
roughtly 99%
jason, pat, quarto
05/06/2023#
185. cltx#
associate editor center
vanguards
tx
189. regress#
\(Y = \beta_0 + \beta_1X_1 + \beta_2X_2 + ... + \beta_nX_n + \varepsilon_{iid \sim N(\mu, \sigma)}\)
for the 700 class
whet their appetite
let them know this is LaTeX
190. list#
drwxr-xr-- 21 aachybro biostats 32 Sep 17 2009 aachybro
drwx------ 5 aadamcz jhmigenetics 14 May 26 2016 aadamcz
drwx------ 19 aakenroy users 45 Jan 3 2019 aakenroy
drwx------ 5 aallen jhmi 14 Sep 17 2009 aallen
drwx------ 22 aander59 mh 47 Aug 31 2016 aander59
drwx------ 47 aannapra users 74 Apr 20 12:04 aannapra
drwx------ 14 aarking users 63 Aug 5 2021 aarking
drwxr-xr-x 43 aarun users 360 Nov 30 16:33 aarun
drwx------ 19 aazman biostats 47 Mar 4 2014 aazman
drwxr-xr-x 44 abalan users 123 May 2 20:59 abalan
drwx------ 8 abarber biostats 39 Jul 17 2015 abarber
drwx------ 5 abarrera users 12 Mar 28 2019 abarrera
drwx------ 4 aberman coop 11 May 22 2013 aberman
drwx------ 10 aberring epi 19 Jun 2 2016 aberring
drwxr-xr-x 12 ablackfo jhmi 22 Sep 17 2009 ablackfo
drwxr-xr-x 2 abroman jhmi 3 Sep 17 2009 abroman
drwxr-x--- 12 abrown biostats 148 Jan 25 2018 abrown
drwx------ 30 abureau coop 7727 Jan 16 2022 abureau
drwx------ 8 aburke users 15 Feb 13 2017 aburke
drwx------ 17 acamille users 42 Mar 8 2020 acamille
drwxr-x--- 6 acash segev 14 Mar 19 2015 acash
drwx------ 3 achakrav chaklab 9 Sep 19 2013 achakrav
drwx------ 6 achang users 17 Jan 20 11:18 achang
drwx------ 21 achen users 36 Oct 31 2021 achen
drwx------ 11 achiger users 21 Dec 1 16:15 achiger
drwx------ 37 achin users 285 May 3 15:39 achin
drwx------ 9 achin1 users 19 Sep 9 2022 achin1
drwx------ 13 achitre jhmi 53 Nov 3 2014 achitre
drwx------ 4 achoe coop 10 Jul 17 2015 achoe
drwxrwxr-x 39 achu epi 65 Sep 17 2009 achu
drwx------ 5 acollins jhmed_id 12 Sep 17 2009 acollins
drwx------ 4 acrowley biostats 12 Sep 17 2009 acrowley
drwx------ 3 acruz jhmi 8 Dec 13 2012 acruz
drwx------ 15 acurhan users 41 Jul 12 2022 acurhan
drwx--x--x 9 adamico hpm 27 Sep 17 2009 adamico
drwxr-x--- 23 adatta users 37 May 25 2021 adatta
drwx------ 34 adavidov users 54 Apr 19 22:59 adavidov
drwx------ 12 adeshpan users 22 May 2 11:13 adeshpan
drwx------ 4 nobody epi 12 Jul 17 2008 adimitri
drwx------ 3 adimitri737 course_710_737 4 May 5 2014 adimitri737
drwxr-xr-x 27 adoi jhmi 69 Sep 17 2009 adoi
drwx------ 37 arking users 70 Jul 9 2021 aeishgar
drwxr-x--- 3 aeke alexander 9 Jul 12 2016 aeke
drwxr-xr-x 73 aeloyan coop 99 Apr 1 2016 aeloyan
drwx------ 3 afaria users 10 Sep 25 2019 afaria
drwx------ 9 afawzy users 17 Jul 18 2018 afawzy
drwx------ 11 afeinber feinberglab 444 Aug 3 2018 afeinber
drwx------ 18 afeltrin users 27 Mar 1 10:22 afeltrin
drwx------ 30 afisher biostats 67 Apr 9 2018 afisher
drwx------ 19 afojo users 30 Mar 19 2018 afojo
drwx------ 22 afola users 42 Sep 23 2019 afola
drwxr-xr-x 40 afrazee biostats 117 Jul 6 2015 afrazee
drwxr-x--- 12 agardner mmi 38 May 26 2016 agardner
drwx------ 19 agaudio users 637 Oct 17 2019 agaudio
drwxr-x--- 12 agentilc mmi 21 Sep 17 2009 agentilc
drwxr-x--- 33 agherman users 90 May 2 12:13 agherman
drwx------ 39 agirgis users 62 Mar 31 17:13 agirgis
drwx------ 4 agirouar mmi 11 Sep 17 2009 agirouar
drwx------ 5 agoldman users 13 Feb 13 11:57 agoldman
drwxr-xr-x 9 agolozar epi 20 Sep 17 2009 agolozar
drwx------ 12 agonye users 28 Apr 4 15:32 agonye
drwx------ 11 agu users 27 Mar 5 2021 agu
drwx------ 6 agupta users 13 Aug 10 2022 agupta
drwx--x--x 18 ahackman biostats 43 Apr 12 2016 ahackman
drwx------ 18 ahacksta biostats 321 Jun 20 2014 ahacksta
drwx------ 7 ahadavan users 17 Sep 14 2017 ahadavan
drwx------ 8 ahanuman users 18 Mar 20 16:59 ahanuman
drwxr-x--- 29 aharris users 60 May 14 2020 aharris
drwxr-x--- 19 aharris1 users 53 Apr 19 2020 aharris1
drwxrwxrwx 28 nrafael1 barnes 367 Oct 1 2014 ahedjoud
drwx------ 20 aheglin sph140636 110 Oct 28 2017 aheglin
drwx------ 15 ahines users 67 Aug 20 2019 ahines
drwxr-xr-x 28 ahopkins khansen_class 57 Aug 21 2018 ahopkins
drwx------ 5 aidrizi users 14 May 25 2017 aidrizi
drwxr-x--- 79 ajaffe lieber_jaffe 307 May 5 21:48 ajaffe
drwx------ 6 ajermyn visitor 17 Sep 17 2009 ajermyn
drwxr-x--- 3 ajindal users 9 May 27 2015 ajindal
drwx------ 8 akalinou users 16 Nov 28 15:25 akalinou
drwx------ 16 akapoor chaklab 27 Feb 27 2018 akapoor
drwx------ 4 akaushik users 11 Dec 29 2021 akaushik
drwxr-x--- 28 akennedy health_homes 109 Mar 24 09:41 akennedy
drwx------ 24 akeramat users 81 Dec 17 2018 akeramat
drwx------ 25 akim users 83 May 2 16:21 akim
drwxr-x--- 3 akleensa caat 9 Apr 8 2013 akleensa
drwxr-x--x 53 aklein jhmi 144 Mar 24 10:30 aklein
drwx------ 14 aknight users 37 May 13 2021 aknight
drwxr-x--- 6 akolasny users 19 Aug 9 2019 akolasny
drwx------ 4 akolchin users 12 Apr 28 2022 akolchin
drwxr-xr-x 31 akottgen epi 60 Jul 3 2018 akottgen
drwxr-x--- 14 akrosche users 34 Aug 22 2017 akrosche
drwx------ 5 akuchara users 12 May 14 2018 akuchara
drwx------ 26 akuo users 39 Mar 22 2022 akuo
drwxr-x--- 14 akuppa sph140636 34 May 14 2017 akuppa
drwx------ 13 akvit users 34 Mar 18 2020 akvit
drwx------ 7 akvit1 users 15 Mar 18 2020 akvit1
drwxr-xr-x 2 alaffan epi 6 Sep 17 2009 alaffan
drwxr-x--- 8 alaw6 segev 18 Jul 2 2014 alaw6
drwx------ 10 alawhua users 21 Aug 15 2019 alawhua
drwx------ 9 albeavis users 20 Feb 26 2021 albeavis
drwx------ 13 aleal users 22 Jan 27 2020 aleal
drwx------ 22 alee users 85 Apr 19 23:40 alee
drwx------ 35 aleroux1 users 90 Dec 20 15:30 aleroux1
drwx------ 7 aliang users 15 Aug 28 2019 aliang
drwx------ 12 aliebhof users 20 Oct 25 2021 aliebhof
drwx------ 7 alorenze users 15 Mar 8 11:33 alorenze
drwxrw---- 9 amaclay users 21 Jun 11 2018 amaclay
drwxr-x--- 7 amaerten caat 169 Oct 26 2013 amaerten
drwx------ 17 amahajan users 151 May 5 18:00 amahajan
drwxr-xr-x 17 amanicha biostats 39 Sep 17 2009 amanicha
drwxr-x--- 24 amaroo epi 39 Jun 15 2012 amaroo
drwxr-x--- 108 amassie segev 150 Mar 28 11:55 amassie
drwxr-x--- 8 amathur users 19 Apr 15 2016 amathur
drwxr-xr-x 140 amcdermo biostats 212 Feb 23 15:24 amcdermo
drwx------ 36 ameisner users 91 Jun 9 2020 ameisner
drwxr--r-- 48 amejia biostats 90 Aug 14 2020 amejia
drwx------ 4 amgiladi users 11 Sep 9 2020 amgiladi
drwx------ 12 amoes jhmi 23 Nov 16 2015 amoes
drwxr-x--- 26 amuzaal1 segev 38 May 6 03:52 amuzaal1
drwx------ 11 anagpal users 24 Apr 21 2020 anagpal
drwxrwxrwx 5 anaj epi 16 Sep 17 2009 anaj
drwx------ 4 analatwa users 12 Jun 16 2021 analatwa
drwx------ 8 aniknaha users 17 Dec 1 13:19 aniknaha
drwx------ 21 anishimu users 35 Mar 10 20:36 anishimu
drwx------ 4 anobel coop 11 Sep 17 2009 anobel
drwx------ 19 aoakes users 42 Nov 9 2018 aoakes
drwx------ 27 apaquola users 48 Jan 20 10:56 apaquola
drwx------ 17 apark users 30 Apr 9 2018 apark
drwxr-x--- 10 apearlma feinberglab 18 Dec 15 2015 apearlma
drwx------ 4 aperez users 11 Feb 26 2020 aperez
drwx------ 15 apeterso users 37 Apr 25 2018 apeterso
drwx------ 2 aphan biostats 4 Sep 17 2009 aphan
drwx------ 15 apike mmi 28 Mar 19 2015 apike
drwx------ 8 apita users 15 Sep 17 2018 apita
drwxr-x--- 7 apoon segev 10 Jun 29 2014 apoon
drwx------ 10 aprakash baderlab 21 Sep 9 2013 aprakash
drwxr-x--- 28 aprice26 lieber_jaffe 43 Mar 7 2020 aprice26
drwxr-x--- 3 apustav1 segev 8 Oct 21 2013 apustav1
drwx------ 7 arajeh users 20 Mar 25 07:45 arajeh
drwxr-x--- 25 arajpuro users 37 Jan 23 12:00 arajpuro
drwxr-x--x 17 aramnaut users 1204 May 5 17:57 aramnaut
drwxr-xr-x 39 arazi users 75 May 5 09:39 arazi
drwxr-xr-x 30 areis jhmi 44 Aug 17 2014 areis
drwx------ 3 arittenb users 9 Jan 23 2017 arittenb
drwxr-x--- 4 arizwan segev 13 Aug 28 2014 arizwan
drwx------ 30 arking jhmi 81 Apr 11 18:32 arking
drwx------ 6 arking737 course_710_737 16 Oct 19 2015 arking737
drwx------ 20 arochaba users 34 Apr 17 15:18 arochaba
drwxr-x--- 6 arogers users 16 Dec 28 2015 arogers
drwx------ 3 arunarss jhmi 9 Jul 3 2012 arunarss
drwx------ 8 asabit users 15 May 5 17:12 asabit
drwx------ 8 asaetton users 16 Nov 10 2020 asaetton
drwxr-x--- 35 asaha users 58 Apr 12 03:44 asaha
drwx------ 8 asalts users 22 May 3 15:14 asalts
drwx------ 14 asaraswa users 45 Mar 9 2022 asaraswa
drwx------ 11 asartori users 21 Apr 20 17:42 asartori
drwx------ 3 ascott mmi_genecor 7 Mar 21 2011 ascott
drwxr-x--- 27 asecora users 59 Apr 17 2019 asecora
drwx------ 3 aseidenw biostats 9 Sep 8 2011 aseidenw
drwx------ 6 asen users 14 Sep 27 2017 asen
drwxr-x--- 23 aseyedia lieber_jaffe 45 Oct 6 2021 aseyedia
drwxr-x--- 19 ashaffer segev 571 Feb 16 2020 ashaffer
drwx------ 6 asheffel users 15 May 4 14:46 asheffel
drwx------ 15 ashilpi users 25 May 5 11:20 ashilpi
drwx------ 7 ashumate 140.688_class 16 Apr 12 2018 ashumate
drwx------ 6 asilver users 13 Mar 26 2019 asilver
drwx------ 3 asinge12 epi 9 Dec 17 2013 asinge12
drwx------ 14 askaist nobody 27 Feb 15 11:20 askaist
drwx------ 4 asobhiaf users 12 Jul 22 2022 asobhiaf
drwx------ 30 asong users 48 Apr 20 10:02 asong
drwx------ 27 kmaynard lieber_jaffe 69 Aug 12 2022 aspangle
drwx------ 8 astaicu coop 56 Jul 28 2010 astaicu
drwxr-x--- 9 astaicu1 users 17 Aug 17 2016 astaicu1
drwx------ 13 astraub users 23 Oct 23 2019 astraub
drwx------ 20 astrauss users 30 Apr 6 18:40 astrauss
drwxrwx--- 11 astupnik users 21 Jul 7 2019 astupnik
drwx------ 51 asurapan users 94 May 1 19:08 asurapan
drwxr-x--- 24 athomas segev 36 May 4 15:59 athomas
drwxr-xr-x 75 atin epi 183 May 3 18:30 atin
drwxrwx--- 12 aunterma feinberglab 34 Feb 16 2017 aunterma
drwx------ 4 auzosike users 11 Nov 1 2017 auzosike
drwx------ 3 avukelic chaklab 8 Sep 16 2013 avukelic
drwx------ 13 awilson users 39 Mar 7 2022 awilson
drwxr-x--- 11 awinters users 24 Jun 13 2019 awinters
drwx------ 6 awoods users 14 Jun 29 2022 awoods
drwx------ 4 awozniak biostats 9 Oct 23 2012 awozniak
drwxr-xr-x 12 awu biostats 28 Mar 1 2016 awu
drwx------ 9 axu users 557 Apr 3 16:24 axu
drwx------ 7 ayangchi users 21 Oct 16 2022 ayangchi
drwx------ 11 azale velculescu 23 May 4 10:34 azale
drwx--x--x 14 azhao users 69 May 4 21:46 azhao
drwx------ 5 azhou users 12 Jan 25 15:39 azhou
drwx---r-x 9 azmoore coop 18 May 19 2014 azmoore
drwxr-x--- 12 backerma users 23 Jul 9 2020 backerma
drwx------ 4 bala jhmi 11 Sep 17 2009 bala
drwx------ 16 balthous biostats 43 Sep 17 2009 balthous
drwx------ 4 barmstro visitor 12 Sep 17 2009 barmstro
drwxr-xr-x 26 bbarry lieber_jaffe 42 Dec 9 2020 bbarry
drwx------ 6 bblechte 140.688_class 14 Apr 10 2018 bblechte
drwx------ 18 bblechte1 users 440 May 16 2021 bblechte1
drwx------ 8 bboyarsk users 24 Mar 18 2020 bboyarsk
drwxr-xr-x 61 bcaffo biostats 94 May 4 05:39 bcaffo
drwxr-xr-x 36 bcarvalh biostats 107 Sep 17 2009 bcarvalh
drwx------ 9 bcharvat biostats 24 Sep 17 2009 bcharvat
drwx------ 5 bdelarme users 13 Aug 12 2020 bdelarme
drwxr-xr-x 26 bdewey coop 43 Nov 28 2016 bdewey
drwxr-xr-x 7 bdyer biostats 16 Jan 14 2015 bdyer
drwxr-xr-x 34 beglesto biostats 65 Sep 17 2009 beglesto
drwx------ 9 berlange jhmi 22 Feb 17 2012 berlange
drwxr-sr-x 21 bfeenstr coop 48 Sep 17 2009 bfeenstr
drwx------ 15 bfries users 23 Jul 19 2018 bfries
drwx------ 19 bgreen users 35 Feb 27 10:52 bgreen
drwx------ 4 bgreer users 12 Oct 7 2020 bgreer
drwx------ 21 bguo users 42 May 5 15:02 bguo
drwx------ 4 bharvey users 11 Feb 24 2021 bharvey
drwx------ 3 bhazhirk sph140636 10 Sep 7 2018 bhazhirk
drwxr-xr-x 41 bhe2 biostats 65 Mar 13 2017 bhe2
drwxr-xr-x 76 bherb jhmi 176 Jul 9 2020 bherb
drwx------ 10 bjames epi 63 Sep 17 2009 bjames
drwx------ 4 bjayabal mmi 11 Sep 17 2009 bjayabal
drwx------ 37 bjgilber users 68 May 5 11:11 bjgilber
drwx------ 11 bkafsack mmi 34 Sep 17 2009 bkafsack
drwx------ 7 bkim users 14 Mar 26 2019 bkim
drwx------ 12 bkim1 users 31 Jan 9 2022 bkim1
drwxr-xr-x 36 bklick biostats 76 Sep 17 2009 bklick
drwxr-xr-x 45 blangmea biostats 147 May 13 2019 blangmea
drwxrwxr-x 3 blast blast 13 May 26 2016 blast
drwxr-x--- 8 blonze segev 17 Jan 28 2016 blonze
drwx------ 8 bluber biostats 276 Sep 9 2014 bluber
drwx------ 8 bmaher mh 28 Feb 22 2021 bmaher
drwxr-x--- 27 bmears users 57 Feb 17 2021 bmears
drwx------ 4 bmodanlo users 12 Sep 7 2022 bmodanlo
drwx------ 4 bmulvey users 12 Apr 19 17:11 bmulvey
drwx------ 20 bnguyen users 34 May 4 14:27 bnguyen
drwxr-x--- 3 borandi1 segev 8 Nov 21 2013 borandi1
drwx------ 7 bpal users 15 Jan 25 16:58 bpal
drwx------ 17 bpardo users 35 Jun 28 2021 bpardo
drwxr-x--- 22 bpark users 35 Aug 19 2019 bpark
drwx------ 9 bpatenau users 41 Jun 12 2020 bpatenau
drwx--x--x 5 bpeyser jhmi 15 Sep 17 2009 bpeyser
drwxr-xr-- 38 bphan lieber_jaffe 66 Mar 9 14:53 bphan
drwx------ 28 brabidea users 39 Nov 10 2020 brabidea
drwx------ 11 briess users 31 Apr 11 13:12 briess
drwx------ 10 brisk coop 27 Dec 29 2011 brisk
drwx------ 6 brlee epi 15 Sep 17 2009 brlee
drwxr-x--x 9 bsaloner saloner 30 Jan 3 2018 bsaloner
drwxr-x--- 26 bsheppar epi 95 May 18 2017 bsheppar
drwxr-xr-x 21 bsherwoo biostats 45 Oct 2 2019 bsherwoo
drwx------ 5 bshou users 12 Dec 29 2021 bshou
drwx--x--x 12 bsimbiat users 29 May 5 17:54 bsimbiat
drwx------ 6 bsingh users 15 Oct 9 2019 bsingh
drwx------ 23 bsmith users 49 Feb 4 16:24 bsmith
drwx------ 4 bsolomon users 12 Aug 11 2020 bsolomon
drwx------ 7 bstest biostats 15 Sep 17 2009 bstest
drwxrwx--- 9 bstrobe1 beer 18 Jul 28 2019 bstrobe1
drwxr-x--- 14 bsuktiti epi 50 Oct 28 2013 bsuktiti
drwxr-xr-x 50 bswihart biostats 250 May 1 2016 bswihart
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drwx------ 7 btang jhmi 16 Dec 11 2013 btang
drwx------ 12 btang1 users 24 Aug 11 2021 btang1
drwx------ 4 bwahl users 10 Jul 14 2021 bwahl
drwxrwx--- 32 bwang users 47 Jun 8 2021 bwang
drwx------ 9 bwen jhmi 24 Sep 17 2009 bwen
drwxr-xr-x 35 bwilliam coop 329 Aug 21 2018 bwilliam
drwxr-x--- 16 bwinston smart 155 Mar 21 2022 bwinston
drwxr-x--- 22 bxrowan sph140636 40 Oct 3 2017 bxrowan
drwx------ 4 byou users 12 Aug 11 2021 byou
drwxr-x--- 26 bzhang users 38 Sep 27 2022 bzhang
drwx------ 4 caepstei biostats 11 Apr 3 2013 caepstei
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drwx------ 11 ccai users 23 Oct 7 2021 ccai
drwx------ 22 ccallaha users 36 Nov 21 21:47 ccallaha
drwx------ 10 ccarson epi 21 Sep 17 2009 ccarson
drwxr-x--- 33 ccastell users 121 Feb 17 13:40 ccastell
drwx------ 18 cceritog users 27 Mar 15 12:07 cceritog
drwx------ 4 cchang users 10 Jan 12 2022 cchang
drwx------ 26 cchen users 43 Mar 22 13:32 cchen
drwx------ 16 cchen1 users 22 Jun 13 2022 cchen1
drwx------ 21 ccherry sph140636 40 May 4 09:59 ccherry
drwx------ 9 cchoudhu users 17 Jul 31 2018 cchoudhu
drwxr-x--- 3 cclarkin users 9 Aug 3 2016 cclarkin
drwxr-x--- 4 cclarkin1 users 11 Aug 24 2016 cclarkin1
drwxr-xr-x 20 ccolantu carlo 34 May 1 11:05 ccolantu
drwxr-xr-x 7 ccrainic biostats 13 Sep 14 2015 ccrainic
drwxr-xr-x 26 cdi biostats 52 Sep 17 2009 cdi
drwx------ 5 cduncan users 13 Jul 13 2022 cduncan
drwx------ 5 cduque users 12 Dec 8 2021 cduque
drwxr-xr-x 7 cebnesaj mh 152 Sep 16 2016 cebnesaj
drwx------ 7 cenewcom users 20 Feb 7 2022 cenewcom
drwx------ 4 cettman users 11 Sep 21 2022 cettman
drwxrwxr-x 75 cfletez beer 212 Dec 1 2020 cfletez
drwxr-xr-x 113 cfrangak biostats 954 Sep 17 2009 cfrangak
drwx------ 4 cfu users 12 Oct 10 2019 cfu
drwxr-x--- 4 cg-2015-stu01 course_710_737 14 Oct 19 2015 cg-2015-stu01
drwxr-x--- 4 cg-2015-stu02 course_710_737 11 Oct 19 2015 cg-2015-stu02
drwxr-x--- 4 cg-2015-stu03 course_710_737 11 Oct 19 2015 cg-2015-stu03
drwxr-x--- 4 cg-2015-stu04 course_710_737 11 Oct 19 2015 cg-2015-stu04
drwxr-x--- 4 cg-2015-stu05 course_710_737 11 Oct 19 2015 cg-2015-stu05
drwxr-x--- 4 cg-2015-stu06 course_710_737 11 Oct 19 2015 cg-2015-stu06
drwx------ 15 cgao users 30 May 1 17:02 cgao
drwxr-xr-x 12 cgold jhmi 25 Aug 26 2016 cgold
drwx------ 4 chage users 12 Apr 6 14:42 chage
drwx------ 16 chanson users 28 Oct 10 2018 chanson
drwx------ 25 cheffern users 35 Apr 20 19:38 cheffern
drwxr-x--- 24 cholingu users 42 Oct 8 2020 cholingu
drwx------ 6 cholsche users 14 Oct 12 2016 cholsche
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drwxr-xr-x 82 chwang biostats 308 Sep 17 2009 chwang
drwxr-x--- 2 cjie jhmi 11 Mar 24 2011 cjie
drwx------ 4 cjmurdoc users 11 Jul 27 2022 cjmurdoc
drwx------ 9 cjones sph140636 22 Sep 23 2016 cjones
drwx------ 14 cjones1 users 26 Aug 31 2018 cjones1
drwx------ 15 cjoseph users 28 Apr 21 13:01 cjoseph
drwxr-x--- 13 ckeet users 33 Feb 10 2016 ckeet
drwxr-xr-x 54 claddaco andy 144 Oct 31 2020 claddaco
drwxr-xr-x 19 clchang biostats 42 Sep 17 2009 clchang
drwx------ 5 clengso users 12 Sep 9 2022 clengso
drwxr-x--- 47 cli users 86 Mar 23 13:33 cli
drwxr-x--- 7 cliao segev 14 Apr 21 2016 cliao
drwx------ 13 cliu coop 228 Mar 24 2015 cliu
drwxrwx--- 27 cliu1 users 44 Nov 22 2019 cliu1
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drwx------ 17 clo users 36 Apr 13 16:37 clo
drwx------ 6 clong users 14 Sep 9 2020 clong
drwx------ 4 clui jhuas 11 Sep 17 2009 clui
drwx------ 12 clui1 users 22 Jun 25 2019 clui1
drwx------ 6 cluptons users 15 Apr 4 16:16 cluptons
drwx------ 4 cmagee biostats 11 Sep 17 2009 cmagee
drwxr-x--- 31 cmalley users 50 Jan 26 2018 cmalley
drwx------ 8 cmariege users 18 Aug 15 2018 cmariege
drwx------ 14 cmaroun users 25 Jan 22 2020 cmaroun
drwx------ 15 cmckenne users 27 Jan 4 2019 cmckenne
drwx------ 5 cmedina users 12 May 18 2022 cmedina
drwx------ 7 cmerlo users 17 May 20 2019 cmerlo
drwxrwx--- 6 cmirabal users 15 Mar 5 2020 cmirabal
drwxr-xr-x 19 cmontano feinberglab 46 Feb 22 2017 cmontano
drwx------ 7 cmoreau users 14 Oct 24 2016 cmoreau
drwx------ 4 cng mmi 12 Sep 17 2009 cng
drwx------ 4 cnichols chaklab 10 Feb 13 2015 cnichols
drwx------ 12 coverby users 20 Mar 9 2018 coverby
drwxrwx--- 45 cpacyna users 69 Jul 31 2019 cpacyna
drwxr-xr-x 19 cpattaro jhmi 51 Sep 17 2009 cpattaro
drwx------ 17 cqiu users 35 Feb 19 16:42 cqiu
drwx------ 3 crebholz epi 8 Jul 24 2013 crebholz
drwx------ 3 cresnick users 9 Apr 7 2017 cresnick
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drwxr-xr-x 22 cruberma biostats 41 Feb 14 2020 cruberma
drwx------ 16 csalcido users 27 Nov 2 2018 csalcido
drwx------ 28 csay users 53 Mar 2 2022 csay
drwx------ 14 cschilli users 52 Aug 18 2020 cschilli
drwx------ 29 cshu mh 40 Jul 23 2021 cshu
drwxr-x--- 8 csiebald dalab 19 Dec 2 2016 csiebald
drwx------ 10 csiotos users 20 Jul 9 2018 csiotos
drwx------ 14 csmith jhmi 28 Jul 30 2013 csmith
drwx------ 13 csong users 21 Oct 31 2017 csong
drwx------ 8 csoto lieber_lcolladotor 41 May 5 17:17 csoto
drwx------ 19 csriwora lieber_marmaypag 59 Feb 17 06:09 csriwora
drwx------ 6 cthomas biostats 20 Sep 17 2009 cthomas
drwx------ 6 cthompso biostats 17 Sep 17 2009 cthompso
drwx------ 9 ctien users 16 Apr 19 16:09 ctien
drwx------ 7 ctilves users 16 Jan 31 2022 ctilves
drwxrwx--- 21 ctokhei1 beer 35 Jul 25 2019 ctokhei1
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drwx------ 14 ctsai19 epi 30 Oct 1 2014 ctsai19
drwx------ 17 arking users 37 Sep 5 2022 ctung
drwxr-xr-x 39 cvalenci epi 1029 Feb 4 2022 cvalenci
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drwxr-xr-x 21 cvissers users 31 Oct 9 2019 cvissers
drwx------ 30 cwang68 jhmi 43 Sep 9 2021 cwang68
drwxr-x--- 3 cwickli2 segev 8 Oct 21 2013 cwickli2
drwxr-xr-x 57 cwilks users 216 Sep 30 2022 cwilks
drwx------ 8 cwouters users 15 Feb 16 2021 cwouters
drwxr-x--- 5 cwright users 13 Jun 10 2016 cwright
drwx------ 11 cxie users 18 Apr 18 21:05 cxie
drwx------ 18 cxu users 35 Nov 3 2019 cxu
drwx------ 26 cycheng epi 42 Sep 17 2009 cycheng
drwx------ 21 cyue biostats 92 May 24 2015 cyue
drwx------ 4 czhao biostats 11 Sep 17 2009 czhao
drwx------ 7 czhu users 16 Jul 14 2022 czhu
drwxr-x--- 11 czink users 53 Jul 28 2017 czink
drwx------ 8 dagoons users 16 Oct 15 2018 dagoons
drwx------ 6 dalejand users 13 May 4 13:37 dalejand
drwx------ 8 dalkhour users 18 May 3 12:55 dalkhour
drwx------ 3 dallas chaklab 9 Sep 19 2013 dallas
drwxr-x--- 32 dardelja jhmi 61 Apr 3 2018 dardelja
drwxr-x--- 15 davramop dalab 45 Oct 18 2021 davramop
drwxr-xr-x 24 dbaker users 40 May 18 2021 dbaker
drwxr-xr-x 20 dbishai pfrh 91 Jul 22 2016 dbishai
drwx------ 17 dboamah sph140636 30 Oct 20 2017 dboamah
drwx------ 16 dboamah1 140.688_class 32 May 10 2018 dboamah1
drwx------ 19 dborrajo users 47 Aug 2 2019 dborrajo
drwx------ 7 dbowman biostats 16 Sep 17 2009 dbowman
drwx------ 17 dbozzi users 91 Jan 4 2021 dbozzi
drwxr-xr-x 60 dbruhm users 92 May 5 18:02 dbruhm
drwx------ 5 dchen users 12 Nov 29 2017 dchen
drwxr-x--- 10 dclark users 27 Aug 3 2016 dclark
drwxr-xr-x 2 dcohen biostats 4 Sep 17 2009 dcohen
drwx------ 3 dcole biostats 7 Sep 17 2009 dcole
drwx------ 30 dcumming ih 57 Feb 24 2020 dcumming
drwx------ 31 ddeng biostats 47 Feb 28 2018 ddeng
drwxr-x--- 16 ddey users 42 Jan 6 2021 ddey
drwx------ 16 dding users 38 Jan 1 2018 dding
drwx------ 19 ddokuru users 633 May 13 2019 ddokuru
drwx------ 12 ddong users 22 Mar 7 2022 ddong
drwx------ 32 dduchen users 50 Jul 18 2022 dduchen
drwx------ 8 ddutta biostats 196 Jul 10 2013 ddutta
drwx------ 33 ddutta1 users 129 Apr 21 13:45 ddutta1
drwx------ 16 dfallin epi 37 Sep 17 2009 dfallin
drwxr-xr-x 15 dfradin epi 73 Sep 17 2009 dfradin
drwx------ 7 dghandwa users 50 Jul 11 2019 dghandwa
drwx------ 5 dgonzale lieber_lcolladotor 15 Mar 31 16:12 dgonzale
drwxr-xr-x 5 dgrover jhmi 14 Sep 17 2009 dgrover
drwx------ 6 dhabtema somd 15 Sep 17 2009 dhabtema
drwxrws--- 29 dhallber velculescu 48 Nov 3 2022 dhallber
drwxr-xr-x 9 dhiller jhmi 20 May 2 2013 dhiller
drwx------ 9 dhorrell jhmi 16 Apr 25 2011 dhorrell
drwx------ 25 djiang biostats 135 May 17 2017 djiang
drwxr-x--- 21 djimenez users 57 Nov 1 2018 djimenez
drwxr-xr-x 3 djohng jhmi 10 Dec 19 2014 djohng
drwx------ 12 dkuk biostats 22 Sep 17 2009 dkuk
drwx------ 14 dle users 79 May 5 11:46 dle
drwx------ 11 dlenis biostats 30 Aug 21 2017 dlenis
drwx------ 17 dlin users 27 Apr 5 15:12 dlin
drwxr-xr-x 41 dliu biostats 87 Sep 17 2009 dliu
drwx------ 5 dliu22 jhmi 11 Sep 17 2009 dliu22
drwx------ 17 dlow users 28 Mar 27 2019 dlow
drwx------ 58 dmckean users 162 May 5 17:08 dmckean
drwxr-xr-x 3 dmoffitt biostats 9 Sep 17 2009 dmoffitt
drwxr-x--- 4 dmogul users 11 Jul 6 2016 dmogul
drwx------ 18 dmohan users 46 Mar 6 2019 dmohan
drwx------ 6 dnauen users 13 May 9 2018 dnauen
drwx------ 9 dobeng biostats 26 Sep 17 2009 dobeng
drwxr-x--- 11 dobrienc users 21 Mar 9 2018 dobrienc
drwx------ 4 dpuiu jhmi 10 Jul 12 2012 dpuiu
drwxr-x--- 26 dpuiu1 arking 97 Mar 9 19:52 dpuiu1
drwx------ 15 dqtran users 189 Feb 23 11:05 dqtran
drwxr-x--x 26 dray users 42 Feb 24 00:30 dray
drwx------ 7 dreich coop 14 Jul 14 2010 dreich
drwxr-xr-x 180 dscharf biostats 803 Sep 17 2009 dscharf
drwx------ 7 dsegev biostats 15 Sep 17 2009 dsegev
drwx------ 11 dshu users 21 Jun 1 2022 dshu
drwx------ 24 dsidirop users 67 May 3 13:42 dsidirop
drwxr-sr-- 28 dsisto alivemethyl 506 Jan 3 2019 dsisto
drwxrwxr-x 21 dsosnows users 37 Apr 18 17:15 dsosnows
drwx------ 6 dswedler hpm 49 Jan 31 2013 dswedler
drwxr-x--- 8 dvadim biostats 20 Jul 28 2015 dvadim
drwxrwxrwx 7 dvaidya jhmi_gs 20 Dec 3 2014 dvaidya
drwx------ 11 dvandome users 23 Mar 28 2019 dvandome
drwx------ 15 dvinson users 27 Dec 30 2021 dvinson
drwxr-xr-x 3 dward lieber_jaffe 10 Nov 3 2014 dward
drwxr-xr-x 6 dwhytest biostats 21 Sep 12 2014 dwhytest
drwxr-x--- 7 dwinches users 19 Nov 17 2016 dwinches
drwx------ 126 dwlee chaklab 248 Sep 12 2018 dwlee
drwx------ 43 dyao users 54 May 4 20:36 dyao
drwxr-xr-x 5 dyuan jhmi 18 Sep 17 2009 dyuan
drwx------ 132 dzhang users 142 May 6 00:29 dzhang
drwx------ 6 dzhao users 14 Apr 7 2017 dzhao
drwxr-x--- 3 ealkazzi biostats 9 Apr 1 2015 ealkazzi
drwx------ 4 earildsk users 12 Apr 20 04:11 earildsk
drwx------ 15 ebadillo users 180 Mar 10 2022 ebadillo
drwx------ 6 ebiancas users 24 Mar 28 16:38 ebiancas
drwx------ 6 eblascoc users 14 Apr 7 2017 eblascoc
drwx------ 7 ebriem jhmi 23 Sep 17 2009 ebriem
drwxr-x--x 29 eburke lieber_jaffe 57 Mar 7 2020 eburke
drwx------ 20 echilds epi 42 Jul 2 2021 echilds
drwx------ 10 echo users 19 Apr 7 2021 echo
drwxr-x--- 25 echow segev 37 May 11 2017 echow
drwx------ 17 echristi users 30 Feb 9 2021 echristi
drwx------ 24 ecui users 35 Mar 1 13:24 ecui
drwxr-x--- 15 efertigl carlo 37 Apr 4 2013 efertigl
drwx------ 6 efowlerb users 14 Oct 18 2022 efowlerb
drwxr-xr-x 30 egarrett biostats 74 Sep 17 2009 egarrett
drwx------ 4 eguallar users 12 Apr 7 2017 eguallar
drwxr-x--- 5 amassie segev 108 Jul 4 2012 ehall
drwxr-xr-x 62 ehalper jhmi 2005 Sep 6 2022 ehalper
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drwx------ 4 ehenkle biostats 11 Sep 17 2009 ehenkle
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drwx------ 17 ehilgart users 38 May 4 15:03 ehilgart
drwx------ 20 ehowerto users 38 Mar 28 10:11 ehowerto
drwxr-xr-x 2 root root 2 Dec 14 2020 ehs
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drwxr-xr-x 137 ejohnson biostats 195 Jul 13 2022 ejohnson
drwx------ 5 ejohnson1 users 12 Nov 30 15:57 ejohnson1
drwxr-xr-x 28 ejung epi 86 Sep 17 2009 ejung
drwx------ 12 ekgough users 22 Dec 7 11:49 ekgough
drwx------ 2 ekhaykin epi 6 Sep 17 2009 ekhaykin
drwxr-x--- 16 eking19 segev 26 Mar 3 2016 eking19
drwx------ 33 elo users 54 May 3 10:16 elo
drwxr-xr-x 29 elong biostats 45 Sep 17 2009 elong
drwxr-x--- 12 emace users 23 Mar 29 2019 emace
drwx------ 4 emarcisa users 10 Jun 15 2022 emarcisa
drwx------ 6 emcfarla users 14 Apr 12 2017 emcfarla
drwxr-x--- 11 emcginty health_homes 26 Mar 18 2022 emcginty
drwxr-x--- 6 emcgowan users 13 Apr 15 2016 emcgowan
drwx------ 40 emhuang biostats 119 Jun 16 2020 emhuang
drwx------ 71 emsweene biostats 1702 Oct 22 2016 emsweene
drwx------ 14 enaydano users 24 Aug 7 2019 enaydano
drwxrwx--- 23 enelson users 576 May 5 17:51 enelson
drwx------ 5 enorton users 14 Jan 25 16:23 enorton
drwx------ 4 enunezag users 12 Sep 21 2022 enunezag
drwxr-x--- 40 eodonnel users 61 May 2 10:28 eodonnel
drwx------ 11 eogburn1 biostats 24 Dec 28 2015 eogburn1
drwxr-xr-x 15 eoneill jhmi 32 Jan 11 2010 eoneill
drwxr-xr-x 5 epang jhmi 21 Jun 27 2014 epang
drwx------ 10 epatel users 24 Jun 28 2021 epatel
drwx------ 26 epujadas feinberglab 50 Oct 13 2019 epujadas
drwxr-x--- 8 eradules users 16 Jan 27 2021 eradules
drwx------ 42 erafaelm users 127 May 4 10:31 erafaelm
drwx------ 16 esalfati chaklab 31 Jun 9 2016 esalfati
drwx------ 12 escott users 40 Jun 8 2021 escott
drwx------ 12 esmail users 179 May 10 2021 esmail
drwx------ 5 esmith jhmi 14 Sep 17 2009 esmith
drwxrwx--- 27 estone health_homes 92 Nov 28 2021 estone
drwx------ 17 estuart mh 47 Sep 17 2009 estuart
drwx------ 12 esugar jhmi 23 Dec 5 2016 esugar
drwxr-x--- 9 etseng users 20 Oct 3 2017 etseng
drwxr-x--- 16 evincent1 users 30 Apr 8 2016 evincent1
drwx------ 8 ewise users 21 Apr 21 16:46 ewise
drwxrwxr-x 16 exiao1 lieber 28 Aug 8 2014 exiao1
drwx------ 6 eyang users 15 Jan 12 2022 eyang
drwx------ 11 eyu users 19 Apr 19 17:12 eyu
drwxr-x--- 16 fabreu biostats 29 Mar 30 2016 fabreu
drwxr-x--- 5 fal segev 14 Feb 5 2019 fal
drwx------ 41 fashar jhmi 72 Mar 19 2018 fashar
drwx------ 20 fbegum epi 40 Dec 10 2017 fbegum
drwx------ 10 fchen epi 17 Nov 6 2013 fchen
drwxrwx--- 12 fchen1 users 25 Jul 23 2019 fchen1
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drwxr-xr-x 82 fdominic biostats 471 Sep 17 2009 fdominic
drwx------ 21 fdu1 biostats 39 Jun 29 2016 fdu1
drwxr-xr-x 95 fernando mmi 167 Feb 4 2022 fernando
drwxr-xr-x 12 fernando02 prophecy 23 Oct 29 2012 fernando02
drwx------ 13 ffarahan users 34 Jan 29 13:13 ffarahan
drwx------ 24 fgoes lieber_jaffe 37 Apr 18 15:23 fgoes
drwx--x--x 26 fhan biostats 43 Sep 30 2015 fhan
drwx------ 23 fhsu users 32 Jun 18 2019 fhsu
drwx------ 24 fhsu1 users 34 May 21 2021 fhsu1
drwx------ 6 fhu users 122 May 3 17:28 fhu
drwxr-x--- 3 fjacob users 9 Jun 1 2016 fjacob
drwx------ 21 fjia users 45 Jan 24 2021 fjia
drwx------ 22 fleacy biostats 30 Sep 17 2009 fleacy
drwxr-xr-x 38 fli biostats 140 Sep 17 2009 fli
drwx------ 14 fliu users 25 Jun 16 2022 fliu
drwx------ 4 fmanno users 10 Feb 22 09:39 fmanno
drwx------ 2 fmarroni jhmi 4 Sep 17 2009 fmarroni
drwxrwx--- 6 forpinel users 15 Nov 6 2018 forpinel
drwxr-xr-x 34 fpineda mmi 58 Oct 23 2019 fpineda
drwx------ 4 fpirsl users 12 Mar 26 2019 fpirsl
drwx------ 11 fpirsl1 users 27 Jun 16 2022 fpirsl1
drwx------ 6 freneega lieber_lcolladotor 41 May 5 13:42 freneega
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drwx------ 9 fshahid users 25 May 5 12:23 fshahid
drwx------ 5 fthomash users 13 Nov 8 11:17 fthomash
drwx------ 11 fvicente users 20 Aug 13 2017 fvicente
drwx------ 19 fvillavi users 44 Mar 31 2021 fvillavi
drwx------ 20 fwang users 46 Jun 28 2021 fwang
drwx------ 2 fwong jhmi 4 Feb 11 2013 fwong
drwx------ 6 fyehia users 14 Oct 11 2017 fyehia
drwx------ 13 fzaman users 29 Feb 3 2022 fzaman
drwx------ 5 fzamuner users 13 Jul 15 2020 fzamuner
drwx------ 13 fzheng users 21 Sep 14 2017 fzheng
drwxr-x--- 11 garvapal users 23 Apr 21 2016 garvapal
drwx------ 10 gbhamra users 22 Jun 17 2021 gbhamra
drwx------ 12 gbloklan coop 28 Oct 13 2015 gbloklan
drwx------ 12 gbutler users 26 Mar 24 11:18 gbutler
drwxr-x--- 7 gcannon jhmi 17 Jan 14 2016 gcannon
drwx------ 16 gcarpi users 236 Jul 28 2020 gcarpi
drwx------ 4 gcastigl users 10 Jun 16 2022 gcastigl
drwx------ 23 gclemens biostats 36 Apr 8 2022 gclemens
drwx------ 3 gcyuan coop 8 Mar 4 2010 gcyuan
drwxr-x--- 3 gdelisso users 9 May 28 2015 gdelisso
drwx------ 9 gehret jhmi 26 Mar 22 2018 gehret
drwxr-xr-x 26 gewu biostats 46 Sep 17 2009 gewu
drwx------ 37 ggui users 84 Jul 9 2020 ggui
drwx------ 5 giljam mmi 13 Sep 17 2009 giljam
drwxr-x--- 3 gjoice users 9 Feb 15 2016 gjoice
drwx------ 13 gmahiane ih 50 Mar 25 2015 gmahiane
drwxr-x--- 9 gmckay users 18 Apr 11 2016 gmckay
drwx------ 16 gmohan users 36 Jul 12 2022 gmohan
drwx------ 6 gmpomann coop 18 Dec 18 2012 gmpomann
drwxr-xr-x 13 gnorato biostats 27 Dec 3 2015 gnorato
drwxr-xr-x 2 gonicesc biostats 6 Sep 17 2009 gonicesc
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drwxrwxrwx 52 gpergola users 176 May 3 12:17 gpergola
drwxr-xr-x 7 gpertea jhmi 15 Jan 11 13:12 gpertea
drwxr-x--- 38 gpertea1 lieber 138 May 5 08:43 gpertea1
drwx------ 31 gqi users 48 Mar 16 17:48 gqi
drwx------ 68 gshankar users 214 Jan 12 2022 gshankar
drwxrwx--- 27 gsharma users 43 Sep 9 2019 gsharma
drwx------ 18 gshatkin users 2090 Mar 1 09:42 gshatkin
drwx------ 9 gsidhu coop 16 Oct 28 2013 gsidhu
drwxr-xr-x 22 gsteino jhmi 41 May 7 2021 gsteino
drwxr-x--- 11 gstracqu baderlab 26 Apr 26 2014 gstracqu
drwx------ 5 gsurplus pinedalab 12 Jun 22 2010 gsurplus
drwxr-x--- 9 gursini users 30 Mar 27 2020 gursini
drwxr-xr-x 3 gwang jhmi 11 May 23 2014 gwang
drwxr-x--- 28 gwang1 users 51 Feb 17 2021 gwang1
drwx------ 11 gwang2 users 22 Aug 31 2022 gwang2
drwxr-xr-x 52 gwojcik epi 81 Nov 10 11:50 gwojcik
drwxr-x--- 2 gwu pinedalab 3 Sep 17 2009 gwu
drwx------ 20 gzhang users 37 Mar 17 15:48 gzhang
drwx------ 13 gzhu users 26 Jan 16 2020 gzhu
drwx------ 4 haimbar coop 10 Oct 21 2009 haimbar
drwx------ 9 han users 35 Apr 8 16:17 han
drwxr-xr-x 2 hanliu biostats 3 Oct 11 2012 hanliu
drwx------ 9 harezlak coop 17 Oct 10 2013 harezlak
drwx------ 4 hbai users 10 Jan 25 12:36 hbai
drwx------ 17 hbmehta users 36 May 5 13:34 hbmehta
drwx------ 11 hcarvalh users 24 Feb 3 2020 hcarvalh
drwx------ 13 hchang24 epi 239 Jul 13 2019 hchang24
drwx--x--x 55 hchen users 261 Mar 20 2022 hchen
drwx------ 7 hchsu biostats 19 Sep 17 2009 hchsu
drwxr-xr-x 67 hcorrada biostats 132 Mar 10 2015 hcorrada
drwx------ 17 hdivecha lieber_jaffe 38 Apr 19 10:46 hdivecha
drwx------ 56 heaswara jhmi 109 May 2 10:40 heaswara
drwxr-xr-x 5 hebadfa1 biostats 13 Apr 3 2015 hebadfa1
drwx------ 15 hgiles users 27 Mar 2 2022 hgiles
drwx------ 18 hgrant users 43 May 5 13:59 hgrant
drwxr-xr-x 25 hguo biostats 51 Sep 17 2009 hguo
drwx------ 3 hgwang biostats 9 Sep 8 2011 hgwang
drwxr-xr-x 28 hgwange epi 41 Mar 14 2014 hgwange
drwxr-x--- 10 hhallock users 24 May 14 2021 hhallock
drwx------ 3 hhambrid biostats 8 Sep 17 2012 hhambrid
drwxr-xr-x 50 hhchang biostats 77 Sep 17 2009 hhchang
drwxr-xr-x 28 hhedlin biostats 42 Sep 17 2009 hhedlin
drwx------ 19 hhonari users 79 Dec 19 2019 hhonari
drwxr-xr-x 30 hhong mh 49 Dec 14 2019 hhong
drwxr-xr-x 10 hhuang biostats 29 Apr 17 2015 hhuang
drwxr-xr-x 18 hiparker biostats 47 Nov 5 2013 hiparker
drwxr-xr-x 152 hjaffee biostats 342 Oct 6 2016 hjaffee
drwx------ 8 hjanes biostats 22 Sep 17 2009 hjanes
drwxr-xr-x 23 hji biostats 44 Jun 30 2022 hji
drwxr-xr-x 11 hji9 jhmi 30 Sep 17 2009 hji9
drwx------ 15 hjincho users 26 Feb 13 2019 hjincho
drwx------ 8 hj_ladd epi 22 Apr 18 2014 hj_ladd
drwx------ 10 hjunjung users 22 Feb 13 08:22 hjunjung
drwxr-xr-x 14 hkatki biostats 40 Sep 17 2009 hkatki
drwx------ 18 hkhaled sph140636 36 Oct 30 2018 hkhaled
drwx------ 12 hkharraz users 23 Dec 21 2018 hkharraz
drwxr-xr-x 19 hkim khansen_class 95 Mar 21 2015 hkim
drwx------ 16 hkim1 users 725 Apr 21 08:56 hkim1
drwx------ 16 hkim2 users 49 Dec 2 15:23 hkim2
drwxr-x--- 7 hkinkead users 34 Jul 18 2017 hkinkead
drwxr-xr-x 11 hknutsdo baderlab 19 Dec 14 2020 hknutsdo
drwx------ 16 hkoh users 1706 Nov 1 2020 hkoh
drwxr-xr-x 9 hlee jhmi 22 Nov 26 2013 hlee
drwxr-xr-x 5 hli1 biostats 13 Nov 10 2015 hli1
drwxr-x--- 41 hliu users 223 Apr 21 2018 hliu
drwx------ 10 hlyu users 19 Sep 28 2017 hlyu
drwx------ 10 hmacleod users 19 Sep 13 2018 hmacleod
drwxr-x--- 4 hmaredia users 14 Mar 9 2016 hmaredia
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drwx------ 4 hnguyen users 13 Jun 16 2022 hnguyen
drwx------ 19 hongzhu biostats 33 Sep 17 2009 hongzhu
drwx------ 11 hpeng users 23 Sep 17 2015 hpeng
drwx------ 11 hpittell users 21 Aug 5 2018 hpittell
drwx------ 15 hpowell biostats 34 Nov 8 2016 hpowell
drwxr-x--- 10 hpscc hpscc 18 Sep 17 2009 hpscc
drwx-wx--- 42 hqiu biostats 63 Apr 8 2015 hqiu
drwx------ 3 hsair jhmi 8 Sep 28 2012 hsair
drwx------ 4 hsalje epi 16 Oct 2 2011 hsalje
drwx------ 3 hsarathy epi 8 Sep 17 2009 hsarathy
drwxr-xr-x 18 hschmidt jhmi 31 Jul 16 2014 hschmidt
drwxr-xr-x 21 hschwend biostats 37 Mar 19 2015 hschwend
drwx------ 24 hshappel users 39 Nov 21 2021 hshappel
drwx------ 12 hshin users 30 Jan 9 17:52 hshin
drwxr-xr-x 46 hshou biostats 72 May 13 2015 hshou
drwx------ 7 hsmith users 16 Oct 25 2019 hsmith
drwx------ 6 hthiesse users 16 Feb 15 11:23 hthiesse
drwx------ 4 htjelmel coop 12 Sep 17 2009 htjelmel
drwx------ 12 htnani lieber_lcolladotor 27 May 5 17:17 htnani
drwxr-xr-x 20 htsai biostats 55 Sep 17 2009 htsai
drwx------ 3 huhe biostats 8 Sep 17 2012 huhe
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drwxrwxrwx 7 hying segev 14 Mar 7 2017 hying
drwx------ 19 hyu users 30 Apr 6 10:34 hyu
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drwxr-xr-x 21 hzhang1 biostats 55 Apr 4 23:44 hzhang1
drwx------ 12 hzhang2 users 22 Mar 9 2019 hzhang2
drwxrwx--- 9 hzhao lieber 22 Mar 2 2021 hzhao
drwx------ 8 hzheng users 22 May 22 2018 hzheng
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drwx------ 14 iazoidis users 29 Mar 28 13:01 iazoidis
drwxr-x--- 2 iberitam users 2 Jun 3 2019 iberitam
drwxr-x--- 6 ibraier lieber_jaffe 66 Aug 16 2013 ibraier
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drwx------ 14 igorskis users 24 Mar 30 13:06 igorskis
drwxr-x--- 12 ihollin users 30 Jan 1 2016 ihollin
drwx------ 5 ijohnmos users 13 Feb 10 2021 ijohnmos
drwxr-x--- 6 ilee biostats 16 May 4 2015 ilee
drwxr-x--- 8 iolorund segev 46 Feb 28 2017 iolorund
drwx------ 4 irattsev users 12 Apr 7 2021 irattsev
drwx------ 10 irodrigu epi 45 Oct 18 2011 irodrigu
drwxr-x--- 8 irose lieber_jaffe 17 Sep 30 2015 irose
drwxr-xr-x 28 iruczins biostats 64 May 4 12:30 iruczins
drwx------ 47 ischmid users 427 Apr 21 15:02 ischmid
drwx------ 11 isulkaj users 19 Sep 28 2021 isulkaj
drwx------ 5 iuribe users 13 Feb 26 2020 iuribe
drwx------ 8 ivlad coop 15 Jul 5 2012 ivlad
drwx------ 28 jabantel users 45 May 17 2021 jabantel
drwx------ 65 jahn users 77 Jan 31 2022 jahn
drwx------ 6 jalberto users 14 Oct 29 2021 jalberto
drwx------ 6 jalder jhmi 16 Feb 4 2010 jalder
drwxr-x--- 3 jalejo1 segev 8 Oct 21 2013 jalejo1
drwxr-xr-x 15 jalquici biostats 28 Jul 23 2015 jalquici
drwxr-xr-x 17 jamyers biostats 37 Sep 17 2009 jamyers
drwx------ 22 jarabino 140.688_class 71 Apr 17 16:34 jarabino
drwx------ 14 jbader baderlab 36 Dec 6 16:54 jbader
drwx--x--x 23 jbai biostats 81 May 8 2020 jbai
drwxr-x--- 17 jbarber users 27 Sep 30 2019 jbarber
drwxrwx--- 23 jbaugher pinedalab 35 Apr 8 2015 jbaugher
drwx------ 5 jbeal lieber_jaffe 15 Dec 11 2013 jbeal
drwx------ 7 jbellant users 18 Nov 6 2019 jbellant
drwxr-xr-x 9 jbenenso biostats 62 Sep 17 2009 jbenenso
drwx------ 47 jbenjami users 89 Apr 21 11:51 jbenjami
drwx------ 4 jbetz biostats 10 Nov 19 2012 jbetz
drwxr-x--- 22 jbetz1 users 33 Dec 28 13:39 jbetz1
drwx------ 14 jbosch bmb 25 Jul 23 2010 jbosch
drwx------ 13 jbose users 26 Jul 9 2017 jbose
drwx------ 14 jbriangi users 36 Mar 13 16:17 jbriangi
drwx------ 8 jbudman jhmi 30 Jun 4 2013 jbudman
drwx------ 4 jbwanika biostats 11 Sep 17 2009 jbwanika
drwx------ 25 jcai users 34 Apr 4 10:42 jcai
drwxr-xr-x 73 jcanner biostats 205 Feb 1 14:52 jcanner
drwxr-x--- 27 jcanzoni users 78 Apr 3 09:59 jcanzoni
drwxr-xr-- 29 jcarey users 57 May 2 2017 jcarey
drwx------ 6 jcarlosg users 15 Mar 25 2020 jcarlosg
drwxr-x--- 18 jcassin users 27 Jul 6 2017 jcassin
drwx------ 49 jcatalli users 124 Dec 19 2020 jcatalli
drwxr-x--- 9 jcatheri sph140636 18 Sep 15 2016 jcatheri
drwxr-xr-x 29 jchen bioinfo 51 Sep 17 2009 jchen
drwxr-xr-x 18 jchen1 users 29 Jul 18 2019 jchen1
drwx------ 12 jchen2 users 23 Apr 25 2020 jchen2
drwx------ 4 jchen3 users 10 Mar 25 2020 jchen3
drwx------ 6 jcheng users 14 Feb 18 00:44 jcheng
drwx------ 8 jchoi users 18 Mar 30 21:19 jchoi
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drwxr-xr-x 11 jcohen1 baderlab 16 Jul 5 2017 jcohen1
drwxr-x--- 8 jcombari mmi 17 Jan 14 2021 jcombari
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drwx------ 5 jcurran users 13 Apr 21 12:42 jcurran
drwxr-x--x 57 jdaniell segev 3087 Oct 14 2022 jdaniell
drwxr-xr-x 17 jdaniels users 28 May 5 09:03 jdaniels
drwx------ 8 jdemmerl users 16 Sep 8 2022 jdemmerl
drwx------ 11 jderk users 36 Sep 1 2021 jderk
drwxr-xr-x 15 jdi2 biostats 53 Feb 1 2019 jdi2
drwx------ 21 jdou users 45 May 3 14:18 jdou
drwxr-xr-x 11 jehmsen khansen_class 20 Apr 12 2017 jehmsen
drwxr-x--- 18 jengelma coop 31 Sep 17 2009 jengelma
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drwx------ 3 jerwin users 9 Jan 3 2018 jerwin
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drwxr-x--- 36 jfeinber ndepi 60 Mar 14 12:41 jfeinber
drwx------ 4 jfeng biostats 11 Sep 17 2009 jfeng
drwxr-xr-x 71 jfiksel users 100 Nov 3 2021 jfiksel
drwx------ 103 jfortin biostats 146 Apr 13 2017 jfortin
drwx------ 3 jgallis biostats 7 Aug 26 2010 jgallis
drwx------ 5 jgamiel jhmed_id 12 Sep 17 2009 jgamiel
drwxr-x--- 6 jgaronzi users 15 Sep 7 2016 jgaronzi
drwxr-xr-x 3 jgatuso biostats 10 Sep 17 2009 jgatuso
drwxr-x--- 28 jgellar pinedalab 61 Apr 11 2015 jgellar
drwxr-xr-x 7 jgoldsmi biostats 23 Sep 17 2009 jgoldsmi
drwxr-x--- 9 jgoutsia feinberglab 26 Dec 11 2016 jgoutsia
drwx------ 16 jguo users 86 Apr 11 12:54 jguo
drwxr-xr-x 24 jha users 55 May 4 02:09 jha
drwxr-x--- 11 jhernand users 23 Feb 23 2016 jhernand
drwx------ 4 jherrer1 epi 11 Sep 17 2009 jherrer1
drwxrwxr-x 28 jhetmans epi 47 Apr 4 16:52 jhetmans
drwx------ 17 jheyward users 76 May 3 12:18 jheyward
drwx------ 12 jhochwal users 27 Oct 12 2021 jhochwal
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drwx------ 20 jhshin lieber 50 Apr 12 14:40 jhshin
drwxr-xr-x 11 jhsiao coop 25 Oct 23 2012 jhsiao
drwx------ 11 jhuang users 23 Jan 23 13:48 jhuang
drwx------ 6 jhuang1 velculescu 17 May 4 10:00 jhuang1
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drwxr-xr-x 21 jhuntley users 119 Sep 3 2018 jhuntley
drwxr-xr-x 26 jiesun biostats 187 Mar 10 2014 jiesun
drwx------ 8 jifeng mmi 17 Sep 17 2009 jifeng
drwx------ 10 jjackson users 20 Sep 9 2019 jjackson
drwx------ 10 jjiarong users 21 Aug 2 2019 jjiarong
drwx------ 44 jjin users 56 Apr 18 00:35 jjin
drwxr-xr-x 10 jjohns biostats 19 Dec 26 2018 jjohns
drwx------ 11 jjohnson users 19 Apr 9 2022 jjohnson
drwxrwxrwx 17 jjudd users 31 May 22 2020 jjudd
drwxr-x--- 5 jjurgens users 14 May 3 2016 jjurgens
drwxr-xr-x 45 jkeller users 87 Apr 3 2019 jkeller
drwxr-xr-x 2 jkim biostats 8 Aug 29 2014 jkim
drwxr-xr-x 19 jkim1 biostats 45 Dec 16 2015 jkim1
drwx------ 11 jkim2 sph140636 21 Sep 10 2018 jkim2
drwx------ 7 jkim3 users 14 Mar 26 2019 jkim3
drwx------ 14 jkim4 users 27 Nov 23 2021 jkim4
drwx------ 3 jkonikof users 10 Aug 25 2015 jkonikof
drwx--x--x 21 jkrall biostats 42 Jan 2 2015 jkrall
drwxr-x--- 16 jkwon users 28 Jul 23 2018 jkwon
drwxr-x--- 7 jleanza users 16 Dec 21 2015 jleanza
drwx------ 6 jlee users 14 Nov 30 2016 jlee
drwxrwx--- 5 jlee405 beer 12 Jul 24 2019 jlee405
drwxr-xr-x 25 jleek biostats 58 Aug 11 2016 jleek
drwx------ 11 jlessler epi 21 May 18 2011 jlessler
drwx------ 19 jlevin users 90 Apr 2 2020 jlevin
drwxr-x--- 37 jlevy joe-oxygen 102 Mar 8 13:13 jlevy
drwxr-xr-x 15 jli users 147 May 5 2018 jli
drwx------ 8 jliang users 32 May 5 13:46 jliang
drwx------ 9 jlin bioinfo 23 Sep 17 2009 jlin
drwxr-x--- 3 jlin1 segev 10 Sep 10 2014 jlin1
drwxr----- 18 jliu coop 76 Feb 27 2017 jliu
drwxr-x--- 4 jliu1 users 11 Jun 25 2015 jliu1
drwx------ 12 jliu2 carlo 22 Jul 19 2020 jliu2
drwx------ 8 jliu3 users 21 Jun 22 2022 jliu3
drwx------ 6 jlong users 15 Oct 31 2018 jlong
drwxr-x--- 7 jlos users 16 Sep 7 2016 jlos
drwxr-x--- 16 jlu sph140636 29 Oct 26 2016 jlu
drwx------ 11 jlu1 users 23 Sep 17 2019 jlu1
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drwx------ 16 jluly users 25 Jan 9 2019 jluly
drwx------ 11 jma users 23 Oct 7 2021 jma
drwx------ 13 jmalone users 34 Aug 17 2018 jmalone
drwxr-x--- 11 jmartin users 48 May 21 2021 jmartin
drwxr-xr-x 10 jmartine coop 19 Mar 9 2011 jmartine
drwx------ 5 jmayo barnes 23 Jun 11 2013 jmayo
drwxr-xr-x 37 jmcgread biostats 102 Nov 30 2018 jmcgread
drwx------ 24 jmedina users 54 Apr 5 11:46 jmedina
drwx------ 7 jmejias users 15 Aug 26 2022 jmejias
drwxr-xr-x 14 jmerran jhmi 31 Oct 13 2017 jmerran
drwxr-x--- 8 jmeyers cgpr 20 Mar 19 2015 jmeyers
drwx------ 3 jmeyers1 users 9 Aug 23 2018 jmeyers1
drwx---r-- 108 jmfu biostats 624 Jul 30 2018 jmfu
drwx------ 4 jmichel users 12 Aug 24 2022 jmichel
drwxrwx--- 21 sellis arking 21 Jul 13 2015 jmiller
drwxr-x--- 11 jmiller1 pinedalab 21 Aug 17 2016 jmiller1
drwx------ 14 jminlee users 22 Oct 8 2018 jminlee
drwx------ 24 jmitchel users 34 May 3 10:12 jmitchel
drwx------ 10 jmitchel1 users 19 Mar 13 22:43 jmitchel1
drwx------ 15 jmoisi ih 28 Sep 17 2009 jmoisi
drwxr-xr-x 5 jmontagn users 14 Mar 10 10:08 jmontagn
drwxr-x--- 5 jmoore segev 13 Mar 19 2015 jmoore
drwxr-x--- 4 jmullins markhamlab 12 Jan 12 2015 jmullins
drwxr-x--- 25 jmurray users 41 Feb 13 14:24 jmurray
drwxr--r-- 200 jmuschel biostats 347 Aug 23 2022 jmuschel
drwxr-x--- 32 jngwa users 48 May 4 14:24 jngwa
drwxr-xr-x 48 jning biostats 68 Sep 17 2009 jning
drwxr-x--- 3 jpan users 9 May 28 2015 jpan
drwx------ 7 jpark users 15 Apr 12 2017 jpark
drwx------ 11 jpaschal users 20 Jul 21 2020 jpaschal
drwx------ 3 jpelsis biostats 13 Dec 5 2014 jpelsis
drwx------ 53 jperin ih 84 Jan 13 11:02 jperin
drwx------ 5 jpevsner pevsner 16 Oct 30 2019 jpevsner
drwxr-x--- 6 jphallen1 users 40036 May 8 2019 jphallen1
drwx------ 14 jpoirier jhmi 30 Sep 17 2009 jpoirier
drwx------ 17 jpringle biostats 34 Jun 17 2016 jpringle
drwx------ 14 jpringle1 users 24 Oct 23 2017 jpringle1
drwx------ 3 jqian jhmi 9 Feb 28 2014 jqian
drwxr-x--- 4 jroberts users 12 May 15 2015 jroberts
drwx------ 10 jrobertw users 26 Mar 17 2020 jrobertw
drwx------ 16 jrubens users 40 Feb 3 2022 jrubens
drwxr-x--- 22 jruck splitdata 63 May 4 09:56 jruck
drwxr-xr-x 38 jrwhite coop 58 Mar 30 10:56 jrwhite
drwxr-xr-x 10 jryea biostats 23 Sep 17 2009 jryea
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drwx------ 15 jsartini users 42 Feb 13 20:59 jsartini
drwx------ 3 jsegars users 9 Oct 9 2019 jsegars
drwx------ 10 jsharma users 21 Apr 20 16:52 jsharma
drwx------ 11 jshi users 59 Dec 17 2021 jshi
drwxr-xr-x 26 jshin biostats 60 Sep 11 2017 jshin
drwxr-xr-x 11 jshin1 biostats 29 Dec 3 2014 jshin1
drwxr-x--- 15 jshin2 users 26 Aug 31 2018 jshin2
drwx------ 4 jsmith users 12 Nov 3 2021 jsmith
drwx------ 6 jsmith1 users 13 Jan 26 2022 jsmith1
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drwx------ 31 jsong users 40 Apr 10 20:05 jsong
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drwxr-xr-x 53 lcollado lieber_jaffe 78 May 26 2022 jstolz
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drwx------ 4 jswitche coop 11 Sep 17 2009 jswitche
drwxr-x--- 8 jtan segev 32 Sep 8 2016 jtan
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drwx------ 6 jtdorman users 14 Jul 10 2019 jtdorman
drwx------ 40 jtilghma chaklab 73 Jul 26 2018 jtilghma
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drwxr-xr-x 10 jtoolan mh 78 Sep 17 2009 jtoolan
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drwxr-xr-x 8 jverdone jhmi 21 Jul 7 2015 jverdone
drwx------ 4 jvogelst users 10 Mar 24 2020 jvogelst
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drwx------ 7 jwan1 users 14 May 3 2022 jwan1
drwx------ 7 jwang biostats 17 Jul 3 2012 jwang
drwxr-x--- 2 jwang1 segev 8 Oct 1 2014 jwang1
drwxr-x--- 8 jwang2 biostats 23 Apr 30 2015 jwang2
drwxr-x--- 31 jwang3 users 58 Jan 26 2021 jwang3
drwxr-x--- 18 jweiss lieber_jaffe 52 Oct 12 2018 jweiss
drwx------ 12 jwells users 22 Nov 6 2021 jwells
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drwx------ 26 jwhite sph140636 77 Jun 7 2018 jwhite
drwx------ 7 jwilson users 21 Oct 10 2022 jwilson
drwx------ 11 jwu users 21 Apr 4 13:15 jwu
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drwx------ 20 jyang1 users 43 Oct 1 2019 jyang1
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drwx------ 16 jyeh sph140636 27 Apr 3 2019 jyeh
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drwx------ 17 jytest jytest 28 Jul 1 2022 jytest
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drwx------ 41 jzhan baderlab 269 Apr 11 2018 jzhan
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drwx------ 4 kanderso users 12 Mar 11 2020 kanderso
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drwxr-x--- 7 kbrieger1 users 20 Oct 4 2018 kbrieger1
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drwx------ 2 kcheslac epi 6 Sep 17 2009 kcheslac
drwxr-x--- 9 kcheung users 19 Apr 15 2015 kcheung
drwx------ 2 kdebeuf coop 7 Aug 19 2010 kdebeuf
drwxr-x--- 28 kdnguyen chaklab 44 Dec 18 2013 kdnguyen
drwxr-xr-x 22 kebisu coop 39 Nov 13 2015 kebisu
drwx------ 19 kfeuer users 34 Apr 4 09:24 kfeuer
drwx------ 22 kfitzger users 44 Jul 28 2020 kfitzger
drwx------ 6 kfreela1 biostats 14 Sep 24 2014 kfreela1
drwx------ 14 kgong users 46 Feb 1 23:10 kgong
drwxr-x--- 23 kgorman tiri 35 May 5 19:45 kgorman
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drwxr-x--- 7 root khansen_class 7 Mar 30 2016 khansen-class
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drwxr-xr-x 37 kiyer4 barnes 2225 Oct 14 2020 kiyer4
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drwx------ 9 kjones users 17 Aug 9 2022 kjones
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drwx------ 25 kkanchan users 32 Apr 19 16:09 kkanchan
drwx------ 10 kkanchan1 users 17 May 3 14:28 kkanchan1
drwxr-x--- 12 kkarimia sph140636 23 Nov 1 2016 kkarimia
drwx------ 36 kkathuri users 112 May 5 14:39 kkathuri
drwxr-x--- 3 kkim biostats 9 Apr 1 2015 kkim
drwxrwx--- 3 kkim108 beer 9 Jan 28 2014 kkim108
drwx------ 13 kkrishna users 23 May 2 13:10 kkrishna
drwxr-x--- 8 kkumar8 segev 17 Dec 12 2013 kkumar8
drwx------ 4 klindsle users 12 Jul 28 2021 klindsle
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drwx------ 4 klyall users 10 Sep 21 2022 klyall
drwx------ 4 klyall1 users 10 Oct 13 2022 klyall1
drwxr-x--- 7 kmaynard lieber_jaffe 21 Jul 15 2022 kmaynard
drwx------ 7 kmcdouga epi 150 Nov 28 2012 kmcdouga
drwx------ 18 kmckessy users 48 May 4 11:41 kmckessy
drwx------ 11 kmclaugh users 37 Mar 29 08:01 kmclaugh
drwxrwx--- 12 kmcmahon users 29 May 16 2017 kmcmahon
drwx------ 5 kmignogn users 16 Mar 25 2020 kmignogn
drwx------ 2 kmiller epi 3 Sep 17 2009 kmiller
drwx------ 11 kmorales users 20 Mar 22 2018 kmorales
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drwxrwx--- 15 kmurphy health_homes 42 Jul 8 2020 kmurphy
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drwx------ 11 knichola users 24 Jan 8 2020 knichola
drwx------ 5 kpatel users 14 Sep 26 2018 kpatel
drwx------ 22 kperzelm users 49 Mar 1 2022 kperzelm
drwxr-xr-x 3 kpienta epi 8 Mar 10 2014 kpienta
drwxr-x--- 18 kprasunc users 27 Dec 3 2021 kprasunc
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drwx------ 24 kpuichan users 52 Feb 28 03:30 kpuichan
drwx------ 8 kquach users 15 Oct 6 2017 kquach
drwxr-x--- 4 krios segev 10 Mar 27 2014 krios
drwx------ 24 krudolph biostats 248 Aug 14 2015 krudolph
drwx------ 4 ksanghav users 12 Sep 9 2020 ksanghav
drwxr-xr-x 6 ksarhane jhmi 46 Sep 6 2017 ksarhane
drwx------ 5 kschratz users 14 Jun 9 2022 kschratz
drwx------ 4 ksealsnu users 11 Jan 13 2021 ksealsnu
drwxr-x--- 5 ksebesty biostats 15 Mar 19 2015 ksebesty
drwx------ 21 kshah users 40 May 2 13:42 kshah
drwx------ 4 kshen users 11 Aug 24 2022 kshen
drwx------ 27 ksherman users 2664 Feb 26 14:19 ksherman
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drwx------ 9 ksolomon users 17 Oct 6 2021 ksolomon
drwxr-xr-x 17 ksosina users 320 Aug 13 2020 ksosina
drwxr-xr-x 31 kstephen jhmi 66 Dec 11 2019 kstephen
drwx------ 9 ktamashi jhmi 19 Sep 17 2009 ktamashi
drwx------ 8 ktaziz users 15 Feb 14 2018 ktaziz
drwx------ 4 kthornto users 12 Dec 2 2020 kthornto
drwx------ 16 ktormohl users 335 Apr 11 12:07 ktormohl
drwxr-xr-x 15 kuppal coop 36 Sep 17 2009 kuppal
drwx------ 4 kvanaja jhmi 11 Sep 17 2009 kvanaja
drwx------ 24 kvanlanc users 34 Oct 6 2022 kvanlanc
drwx------ 11 kwang users 22 Jul 4 2021 kwang
drwx------ 12 kweir users 25 Jan 29 2018 kweir
drwx------ 6 kwood users 14 Feb 15 2017 kwood
drwxr-xr-x 10 kyang baderlab 23 Feb 20 2017 kyang
drwx------ 10 kyang1 users 25 Jun 19 2019 kyang1
drwxr-xr-x 14 kyliang biostats 28 Sep 17 2009 kyliang
drwx------ 14 kyu users 26 Nov 10 09:17 kyu
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drwxrwxrwx 18 lblanpai1 users 36 Oct 27 2016 lblanpai1
drwxr-x--- 38 lboukas users 145 Jan 15 18:47 lboukas
drwxr-x--- 27 lbowles segev 39 May 10 2022 lbowles
drwx------ 4 lbrown jhmi 12 Sep 17 2009 lbrown
drwx------ 9 lbyrne users 21 May 11 2022 lbyrne
drwx------ 11 lchen sph140636 23 Oct 1 2018 lchen
drwx------ 8 lchen1 users 18 Jan 26 2022 lchen1
drwxr-xr-x 13 lchoi biostats 99 Sep 17 2009 lchoi
drwxr-xr-x 35 lclement coop 87 Nov 25 2013 lclement
drwx------ 48 lcollado biostats 74 May 6 00:45 lcollado
drwxr-xr-x 57 lcope jhmi 255 Jun 11 2014 lcope
drwx------ 7 ldanilov jhmi 16 Jun 25 2014 ldanilov
drwxr-xr-x 25 ldeng biostats 83 Sep 17 2009 ldeng
drwxrwx--- 14 ldistefa users 24 Mar 10 2022 ldistefa
drwxr-xr-x 7 leberly biostats 19 Sep 17 2009 leberly
drwxr-xr-x 26 lernesta users 45 Oct 12 2022 lernesta
drwx------ 15 letzkorn users 90 May 4 13:07 letzkorn
drwxr-xr-x 4 lezhang biostats 10 Sep 17 2009 lezhang
drwxr-x--- 5 lfahmy segev 34 Aug 27 2015 lfahmy
drwxr-xr-x 49 lferreir users 192 May 11 2022 lferreir
drwxr-x--- 17 lfolkers lieber_jaffe 40 Mar 15 2016 lfolkers
drwxr-xr-x 18 lfriess users 36 Aug 31 2016 lfriess
drwxr-xr-x 69 lgai users 109 Feb 20 20:25 lgai
drwx------ 7 lgalansk users 14 Feb 14 2022 lgalansk
drwxr-xr-x 18 lgan users 55 Oct 30 2019 lgan
drwx------ 6 lgeronim jhsphis 19 Sep 17 2009 lgeronim
drwxr-xr-x 16 lgoff jhmi 29 Jan 5 2016 lgoff
drwx------ 7 lgondek users 15 Aug 31 2019 lgondek
drwx------ 3 lgrosven2 users 9 Sep 25 2019 lgrosven
drwx------ 22 lgrosven2 users 37 May 4 10:48 lgrosven2
drwx------ 9 lhenders ddl 26 Nov 20 2013 lhenders
drwxr-x--- 10 lhoang segev 20 Apr 6 2021 lhoang
drwx------ 23 lhorton users 52 Dec 21 2021 lhorton
drwxr-x--- 20 lhorvath users 69 Feb 26 2020 lhorvath
drwx------ 22 lhuang jhmi 177 Oct 22 2013 lhuang
drwx------ 15 lhunt users 26 Aug 8 2020 lhunt
drwx------ 25 lhuuki lieber_jaffe 51 May 4 13:38 lhuuki
drwx------ 22 lichen1 biostats 39 Feb 22 2015 lichen1
drwxr-x--- 24 lichen_epi beaty 61 Aug 4 2011 lichen_epi
drwx------ 3 lizhang epi 10 Sep 17 2009 lizhang
drwx------ 12 ljewler users 21 Aug 14 2019 ljewler
drwxr-x--- 10 ljiang users 24 Apr 29 2016 ljiang
drwx------ 3 lkclary users 9 Mar 14 2018 lkclary
drwx------ 10 lkoffman users 23 May 5 16:16 lkoffman
drwxr-x--- 6 lkucirk1 segev 12 Jun 4 2014 lkucirk1
drwx------ 17 lkwak users 45 May 25 2019 lkwak
drwx------ 9 llan users 16 Aug 17 2018 llan
drwxr-xr-x 16 lli biostats 25 Nov 17 2018 lli
drwx------ 16 lliu users 28 Feb 23 15:18 lliu
drwxr-x--- 23 lma users 36 May 19 2017 lma
drwx------ 65 lmangnie users 659 Dec 2 09:27 lmangnie
drwxr-xr-x 38 lmarchio bioinfo 82 Mar 10 2022 lmarchio
drwxr-xr-x 2 lmeoni biostats 5 Sep 17 2009 lmeoni
drwx------ 15 lmihalje users 28 Dec 17 2021 lmihalje
drwx------ 44 lmireles epi 89 Apr 13 2014 lmireles
drwxr-x--- 3 lmoulton users 9 May 27 2015 lmoulton
drwx------ 14 lmpriche users 24 Jan 16 2020 lmpriche
drwxr-s--- 30 lmyint1 hansen_lab1 48 May 7 2018 lmyint1
drwxr-x--- 14 lnicho13 segev 29 Jan 31 2018 lnicho13
drwx------ 9 lniehaus users 18 Oct 4 2022 lniehaus
drwx------ 2 root root 2 Jan 19 2007 lost+found
drwxr-xr-x 39 lpham biostats 85 Sep 17 2009 lpham
drwx------ 4 lpieters users 10 May 18 2022 lpieters
drwxr-x--- 12 lrachako epi 23 Aug 9 2012 lrachako
drwx------ 6 lrein biostats 13 Apr 24 2014 lrein
drwx------ 5 lrindone users 13 Sep 9 2022 lrindone
drwxr-xr-x 35 lrizzard jhmi 67 Feb 23 2021 lrizzard
drwx------ 7 lrodrigu lieber_marmaypag 19 Feb 8 10:55 lrodrigu
drwx------ 3 lshen biostats 8 Sep 17 2012 lshen
drwx------ 13 lshen1 users 33 Sep 30 2021 lshen1
drwxr-xr-x 8 lshi biostats 18 Sep 17 2009 lshi
drwx------ 4 lshi3 biostats 13 Sep 17 2009 lshi3
drwx------ 13 lsivapal users 36 Dec 22 11:19 lsivapal
drwx------ 22 lsong users 42 Jan 16 2020 lsong
drwx------ 55 lsportel users 71 Feb 13 16:34 lsportel
drwx------ 5 ltsukamo users 14 Oct 23 2022 ltsukamo
drwxrwxrwx 14 luolanli visitor 27 Aug 26 2012 luolanli
drwxr-xr-x 3 lwalker khansen_class 10 Apr 11 2014 lwalker
drwx------ 15 lwang users 39 Nov 1 2019 lwang
drwx------ 38 lweber users 74 Oct 17 2022 lweber
drwxr-xr-x 18 lwelty biostats 63 Sep 17 2009 lwelty
drwxr-x--- 12 lwu segev 31 Apr 16 2017 lwu
drwx------ 9 lxiao biostats 456 Jan 30 2014 lxiao
drwx------ 3 lxie biostats 7 Aug 26 2010 lxie
drwx------ 10 lxu chaklab 26 Dec 30 2014 lxu
drwxrwx--x 33 lyanek jhmi_gs 87 Feb 3 12:57 lyanek
drwxrwx--x 31 lyanek1 users 75 Apr 11 09:13 lyanek1
drwxr-x--- 6 lying users 14 Apr 8 2016 lying
drwx------ 26 lzheng users 38 Apr 4 2022 lzheng
drwx------ 9 lzhong users 18 Jan 13 06:48 lzhong
drwx------ 29 lzhou users 95 May 28 2022 lzhou
drwxr-x--- 28 lzhu users 51 Jul 31 2018 lzhu
drwx------ 5 maabraha biostats 13 Sep 17 2009 maabraha
drwx------ 7 maboraha users 15 Nov 4 2020 maboraha
drwxr-x--- 18 malanpow covid1 58 Jul 18 2020 malanpow
drwxr-xr-x 92 mali epi 118 Mar 4 2019 mali
drwx------ 22 malysegr users 48 Jun 16 2022 malysegr
drwxr-xr-x 24 man biostats 51 Mar 26 2014 man
drwxr-xr-x 7 manderse epi 19 Mar 19 2015 manderse
drwx------ 9 maobrien bio776 24 Sep 17 2009 maobrien
drwxr-xr-x 4 margo biostats 24 Oct 12 2017 margo
drwx------ 20 marvanit users 84 Jun 9 2022 marvanit
drwx------ 5 marvin biostats 35 Sep 17 2009 marvin
drwxr-xr-x 44 maryee biostats 106 Jan 8 2015 maryee
drwxr-x--- 17 maugusti sph140636 36 Oct 14 2016 maugusti
drwx------ 4 maxchen coop 12 Jul 6 2011 maxchen
drwxr-x--- 19 mayars jhmi 39 Nov 2 2016 mayars
drwx------ 30 mbarbato users 61 Aug 9 2022 mbarbato
drwx------ 34 mbartlet users 71 May 1 17:00 mbartlet
drwx------ 22 mbeer beer 43 Nov 23 2021 mbeer
drwxr-xr-x 30 mbell coop 60 Sep 17 2009 mbell
drwx------ 9 mbest users 18 Feb 16 2018 mbest
drwx------ 4 mbest1 users 11 Feb 19 2019 mbest1
drwx------ 16 mbicket users 36 Jul 23 2019 mbicket
drwx------ 5 mblum users 13 Jan 11 2022 mblum
drwx------ 172 mboorgu1 barnes 3103 Apr 10 22:19 mboorgu1
drwx------ 4 mbragg users 10 Sep 21 2022 mbragg
drwx------ 5 mbragg1 users 13 Dec 7 12:44 mbragg1
drwx------ 10 mbravo coop 26 Oct 28 2013 mbravo
drwxr-xr-x 14 mbrucato khansen_class 68 May 30 2018 mbrucato
drwx------ 29 mcarone biostats 78 Sep 17 2009 mcarone
drwxr-x--- 5 mcerullo segev 14 Apr 29 2015 mcerullo
drwxr-xr-x 2 mchivera biostats 6 Sep 17 2009 mchivera
drwxr-x--- 18 mchou users 34 Aug 15 2019 mchou
drwxr-x--- 12 mclarke users 24 Feb 7 2017 mclarke
drwxr-x--- 12 mclive biostats 23 Apr 30 2015 mclive
drwx------ 6 mcohen users 15 Jan 27 2017 mcohen
drwx------ 4 mcole users 11 Mar 1 2017 mcole
drwxr-xr-x 22 mconsidi jhmi 107 Apr 19 2013 mconsidi
drwx------ 4 mcostant users 13 Jan 31 2018 mcostant
drwx------ 6 mcruz users 13 May 3 16:14 mcruz
drwxr-xr-x 84 mcwang biostats 142 Sep 17 2009 mcwang
drwx------ 10 mdarby stanley 22 Feb 25 2017 mdarby
drwx------ 4 mdasovic users 10 Feb 26 2020 mdasovic
drwx------ 39 mdaubre1 epi 154 Dec 6 2020 mdaubre1
drwx------ 8 mdehghan users 19 Aug 13 2021 mdehghan
drwxr-x--- 6 mdellort biostats 70 Jul 22 2015 mdellort
drwx------ 2 mdettlin jhmi 4 Sep 17 2009 mdettlin
drwx------ 33 mdifferd users 67 Jan 6 12:18 mdifferd
drwx------ 12 mdkessle users 22 Jun 28 2020 mdkessle
drwx------ 7 mduren users 37 Dec 15 15:43 mduren
drwx------ 6 mdwest biostats 32 Sep 17 2009 mdwest
drwx------ 5 meagleso users 13 Feb 27 21:27 meagleso
drwxr-x--- 8 meisenbe users 18 Sep 21 2018 meisenbe
drwx------ 4 melsabeh users 11 Nov 4 2020 melsabeh
drwx------ 12 memerick somd 22 Sep 17 2009 memerick
drwx------ 14 memmabig users 27 Sep 11 2019 memmabig
drwxr-x--- 5 mfeyder users 12 May 27 2015 mfeyder
drwx------ 4 mfiandei users 10 Jan 12 2022 mfiandei
drwx------ 5 mfoster epi 14 Nov 14 2011 mfoster
drwx------ 24 mfu users 132 May 6 05:32 mfu
drwxrwx--- 25 mgarriso sph140636 75 Feb 10 12:16 mgarriso
drwxr-x--- 21 mglerner users 37 Nov 21 11:37 mglerner
drwx------ 13 mgrabows jhmed_id 22 May 29 2014 mgrabows
drwxr-x--- 25 mgrace segev 69 May 1 11:28 mgrace
drwx------ 8 mgrams jhmi 19 Mar 13 2020 mgrams
drwx------ 7 mgribble epi 121 Feb 6 2014 mgribble
drwxr-xr-x 45 mgriswol biostats 87 Sep 17 2009 mgriswol
drwx------ 6 mguller users 14 Jun 29 2022 mguller
drwxr-x--- 10 mgutiere users 23 Jan 23 12:32 mgutiere
drwx------ 23 mhe users 62 Apr 18 16:33 mhe
drwxr-x--- 17 mhermosi users 27 Jan 16 2021 mhermosi
drwx------ 13 mhernand users 476 Mar 20 17:41 mhernand
drwx------ 4 mhuang mmi 11 Sep 17 2009 mhuang
drwx------ 3 mipark2 biostats 8 Sep 12 2013 mipark2
drwx------ 12 mislam sph140636 24 Nov 6 2018 mislam
drwx------ 4 mjami users 11 Dec 29 2021 mjami
drwx------ 6 mjami1 users 13 Apr 20 2022 mjami1
drwx------ 12 mjin users 34 May 5 00:32 mjin
drwx------ 6 mjmcconn users 16 Nov 22 11:41 mjmcconn
drwx------ 4 mjohanss mmi 11 Sep 17 2009 mjohanss
drwxr-xr-x 22 mjohnson jhmi 37 Dec 12 2016 mjohnson
drwx------ 12 mjohnson1 users 20 Apr 18 14:32 mjohnson1
drwx------ 21 mjseaman users 405 May 30 2019 mjseaman
drwx------ 22 mkaras users 34 Dec 5 2021 mkaras
drwx------ 6 mkaur 140.688_class 14 Apr 10 2018 mkaur
-rwxr-xr-x 1 root mmi 460 Sep 7 2004 mkfiles.sh
drwx------ 15 mkimos users 28 Feb 13 2019 mkimos
drwxr-x--- 43 mkoldobs feinberglab 91 Apr 5 08:35 mkoldobs
drwx------ 9 mkosztow users 20 Jun 23 2019 mkosztow
drwx------ 14 mkulkarn users 26 Aug 22 2017 mkulkarn
drwx------ 6 mla users 13 Feb 14 2018 mla
drwx------ 15 mli users 33 Jan 5 22:16 mli
drwx------ 15 mli1 users 27 Feb 6 14:09 mli1
drwxr-xr-x 3 mliang biostats 14 Mar 19 2015 mliang
drwx------ 35 mlindqui biostats 66 Apr 21 09:03 mlindqui
drwx------ 19 mliu users 30 May 5 11:53 mliu
drwx------ 16 mliu1 users 26 Apr 19 17:12 mliu1
drwx------ 5 mlooney users 13 May 31 2021 mlooney
drwx------ 5 mlyman users 12 Aug 26 2020 mlyman
drwx------ 23 mmaeda users 54 May 2 11:04 mmaeda
drwx------ 5 mmamawal users 12 Nov 7 2016 mmamawal
drwxr-x--- 40 mmarrach users 51 Aug 12 2020 mmarrach
drwxr-x--- 3 mmcadam4 segev 8 Oct 21 2013 mmcadam4
drwxr-xr-x 40 mmccall biostats 66 Mar 19 2015 mmccall
drwx------ 27 mmeiselb users 42 Aug 31 2022 mmeiselb
drwxr-x--- 183 mmill116 mmi 387 May 5 22:52 mmill116
drwx------ 19 mmouslim users 40 Aug 9 2019 mmouslim
drwx------ 7 mmulazim users 21 Oct 26 2021 mmulazim
drwxr-xr-x 21 mmulthau feinberglab 531 Jun 28 2015 mmulthau
drwx------ 27 mnebel coop 70 Apr 20 2017 mnebel
drwx------ 69 mnewhous mmi 336 Mar 19 2015 mnewhous
drwxr-x--- 8 mnieves segev 15 Aug 26 2015 mnieves
drwx------ 43 mnoe users 1028 May 2 14:59 mnoe
drwx------ 6 mnozaki users 15 Sep 2 2021 mnozaki
drwx------ 21 mpalmore users 56 Apr 2 19:56 mpalmore
drwx------ 26 mparihar users 67 Apr 7 22:02 mparihar
drwx------ 27 mparker epi 41 Feb 1 2016 mparker
drwx------ 13 mpeterse sph140636 26 Mar 26 2019 mpeterse
drwx------ 5 mpiroozn1 users 14 Feb 18 2020 mpiroozn1
drwx------ 11 mpomeroy users 33 Mar 27 2021 mpomeroy
drwxr-x--- 2 mpublice pinedalab 8 Sep 14 2010 mpublice
drwx------ 9 mraad users 23 Feb 7 2019 mraad
drwxr-x--- 16 mrajapra sep_biomarker 40 May 5 17:00 mrajapra
drwx------ 3 mram jhbc 9 May 20 2013 mram
drwx------ 7 mramirez users 16 Oct 15 2021 mramirez
drwx------ 20 mraoduvv users 31 May 4 2018 mraoduvv
drwx------ 14 mrdesjar users 89 Dec 17 2021 mrdesjar
drwxr-xr-x 30 mritchie coop 173 Aug 12 2015 mritchie
drwx------ 4 mrobinso users 12 Apr 22 2019 mrobinso
drwxr-x--- 11 mrose epi 29 Sep 17 2009 mrose
drwxr-x--x 46 mrosen biostats 108 May 19 2022 mrosen
drwx------ 19 mru users 33 Feb 15 19:46 mru
drwx------ 3 msalter1 epi 8 Dec 16 2013 msalter1
drwxr-x--- 3 mschepps users 11 Jun 12 2015 mschepps
drwx------ 3 mseamans users 9 Dec 20 2017 mseamans
drwx------ 4 mshah users 11 Oct 19 2022 mshah
drwxr-xr-x 58 mshardel biostats 249 Jan 8 2015 mshardel
drwxr-x--- 4 msiddiqu sph140636 12 Sep 7 2016 msiddiqu
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drwx------ 6 mskarzyn1 140.688_class 15 Apr 10 2018 mskarzyn1
drwx------ 4 msocal users 11 Aug 2 2017 msocal
drwx------ 16 msosa chaklab 28 Nov 14 2016 msosa
drwx------ 13 mspindle users 22 Aug 19 2018 mspindle
drwx------ 4 mstanton coop 12 Sep 17 2009 mstanton
drwxr-x--- 13 mswen users 44 Feb 13 2019 mswen
drwx------ 13 mtang users 23 Dec 16 10:28 mtang
drwxr-xr-x 46 mtaub biostats 175 May 5 09:49 mtaub
drwx------ 5 mtaylor users 12 Feb 9 2022 mtaylor
drwx------ 14 mtellezp epi 30 May 16 2013 mtellezp
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drwx------ 10 mtotty lieber_marmaypag 25 May 4 16:24 mtotty
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drwx------ 9 mwahbeh users 16 Jun 5 2022 mwahbeh
drwxr-xr-x 45 mwang2 epi 79 Aug 27 2014 mwang2
drwx------ 25 mwei users 52 Apr 18 15:32 mwei
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drwx------ 14 mwetzel users 712 Apr 21 13:40 mwetzel
drwxr-x--- 19 myan users 54 Apr 22 2020 myan
drwx------ 4 myan1 users 10 Apr 8 2020 myan1
drwx------ 8 myao users 16 Mar 27 13:22 myao
drwx------ 8 mzhang users 10 Jun 7 2022 mzhang
drwx------ 5 mziaurra users 13 Apr 23 2021 mziaurra
drwx--x--x 49 mzilliox mmi 78 Sep 17 2009 mzilliox
drwxr-xr-x 3 mzorn biostats 11 Mar 19 2015 mzorn
drwx------ 12 nalbaugh users 107 Mar 19 2020 nalbaugh
drwx------ 36 nbandyo baderlab 54 Sep 16 2015 nbandyo
drwx------ 27 nbihlmey arking 44 Feb 13 2020 nbihlmey
drwx------ 20 ncalotta users 39 Dec 5 2019 ncalotta
drwx------ 3 ncarched biostats 8 Sep 12 2013 ncarched
drwx------ 3 nchatter users 10 Oct 12 2015 nchatter
drwx------ 10 nchu users 19 Sep 14 2016 nchu
drwx------ 11 nclifton users 24 Jan 31 2020 nclifton
drwxr-x--- 6 ndaya epi 14 Sep 23 2015 ndaya
drwx------ 8 ndsouza users 22 Mar 13 2021 ndsouza
drwxr-x--- 25 ndyjack users 51 Nov 3 2021 ndyjack
drwxr-xr-x 44 neagles lieber_jaffe 77 May 5 15:32 neagles
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drwx------ 5 nfinkels users 14 Nov 7 2016 nfinkels
drwx------ 3 nobody users 9 Sep 25 2019 nfischer
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drwxr-x--- 5 ngupta21 segev 11 Apr 7 2014 ngupta21
drwx------ 12 nhorwitz arking 49 Apr 8 2016 nhorwitz
drwx------ 48 nhu users 364 Apr 16 2018 nhu
drwx------ 4 nhusain biostats 11 Sep 17 2009 nhusain
drwxr-x--- 20 nivanov2 lieber_jaffe 31 Aug 9 2016 nivanov2
drwx------ 30 njames biostats 48 Jan 1 2018 njames
drwxr-xr-x 13 njung feinberglab 62 Feb 17 2016 njung
drwxr-x--- 13 nkamalno biostats 22 May 11 2015 nkamalno
drwxr-x--- 8 nkamalno1 users 17 Nov 11 2015 nkamalno1
drwxr-x--- 7 nkarbhar users 15 Jul 17 2015 nkarbhar
drwx------ 11 nkoyawal users 33 Dec 23 2018 nkoyawal
drwx------ 5 nkoylass users 13 Nov 28 2021 nkoylass
drwx------ 5 nkrawczy users 12 Feb 5 2020 nkrawczy
drwx------ 4 nli biostats 12 Sep 17 2009 nli
drwxr-xr-x 19 nmiller jhmi 33 Sep 17 2009 nmiller
drwx------ 6 nmorgan users 13 Aug 2 2017 nmorgan
drwx------ 4 nnair mmi 11 Sep 17 2009 nnair
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drwxr-xr-x 60 nniknafs users 108 May 2 11:33 nniknafs
drwx------ 10 npalamut users 23 Jun 4 2020 npalamut
drwx------ 6 npalmier users 14 Feb 2 14:24 npalmier
drwx------ 5 npariksh jhmi 12 Mar 21 2014 npariksh
drwxr-xr-x 2 npaynter coop 4 Sep 17 2009 npaynter
drwx------ 4 nprasad users 10 Mar 24 2021 nprasad
drwx------ 5 npunjabi epi 13 Feb 11 2015 npunjabi
drwxrwxrwx 7 nrafael1 epi 23 Feb 22 2017 nrafael1
drwxr-xr-x 18 nreich biostats 40 Sep 26 2016 nreich
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drwx------ 5 nseewald users 13 Nov 12 2021 nseewald
drwxr-xr-x 9 nsengupt mmi 25 Jun 9 2015 nsengupt
drwx------ 16 nshah users 52 Jan 2 2020 nshah
drwx------ 6 nsutaria users 15 Dec 8 2020 nsutaria
drwxr-x--- 24 ntranngu lieber_jaffe 90 Jul 1 2022 ntranngu
drwx------ 21 rguerrer jhmi 36 Apr 1 2015 nturaga1
drwx------ 43 nvulpesc users 70 May 5 23:00 nvulpesc
drwxr----- 7 nwood segev 15 Nov 18 2021 nwood
drwx------ 6 nwymbs users 17 Nov 2 2017 nwymbs
drwxr-xr-x 20 nyuhki epi 33 Mar 12 2012 nyuhki
drwx------ 5 nyuhki_m markhamlab 13 Oct 22 2012 nyuhki_m
drwxr-x--- 62 nzhao users 281 Dec 14 09:48 nzhao
drwx------ 6 oabolude chaklab 15 Sep 17 2009 oabolude
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drwxr-x--- 45 ocamacho users 95 May 3 23:41 ocamacho
drwx------ 7 ocharnay users 15 Sep 29 2020 ocharnay
drwx------ 8 ofakeye users 15 Jul 11 2017 ofakeye
drwxr-xr-x 2 ofishman jhmi 8 Jun 2 2014 ofishman
drwx------ 4 ogisanri mmi 11 Sep 17 2009 ogisanri
drwx------ 5 oheidari users 12 May 3 16:09 oheidari
drwx------ 5 olaeyend jhmed_id 12 Sep 17 2009 olaeyend
drwxr-x--- 30 oliang users 66 Aug 7 2018 oliang
drwx------ 5 omanley mmi 15 Sep 17 2009 omanley
drwx------ 12 omansour users 91 Aug 6 2019 omansour
drwx------ 4 ostaplet users 12 Feb 22 15:53 ostaplet
drwx------ 8 osugarma users 33 May 3 14:27 osugarma
drwx------ 17 pahn epi 39 Jun 15 2012 pahn
drwxr-xr-x 17 pbalakri epi 27 Mar 31 2017 pbalakri
drwxr-xr-x 4 pbhargav khansen_class 11 May 2 2014 pbhargav
drwx------ 8 pbhatnag jhmi 415 Oct 2 2016 pbhatnag
drwx------ 11 pbirla users 25 Nov 28 13:47 pbirla
drwxrwx--- 18 pbraun users 34 May 2 22:03 pbraun
drwx------ 5 pcallina jhmi 31 Sep 17 2009 pcallina
drwxr-xr-x 13 pchakrab chaklab 69 Sep 25 2014 pchakrab
drwx------ 30 arking jhmi 96 Mar 7 2014 pchanda
drwx------ 10 pchen jhmi 24 Sep 17 2009 pchen
drwx------ 8 pchen1 users 18 Oct 23 2019 pchen1
drwxrwx--- 48 pchiang segev 77 Sep 15 2022 pchiang
drwx------ 5 pdas users 13 Jun 28 2019 pdas
drwx------ 8 pdeolive users 18 Aug 18 2022 pdeolive
drwx------ 23 pdicarlo users 33 Dec 10 2019 pdicarlo
drwx------ 6 pdipalo users 14 Feb 26 2020 pdipalo
drwxr-xr-x 40 pduggal epi 114 Jun 1 2017 pduggal
drwxr-xr-x 2 root root 2 Sep 3 2009 perlclass
drwxr-xr-x 5 pfallas jhmi 11 Jun 9 2014 pfallas
drwx------ 18 pguhaniy users 27 Mar 29 2021 pguhaniy
drwx------ 14 pguhaniy1 users 24 Dec 30 18:26 pguhaniy1
drwxr-x--- 69 phickey biostats 122 Sep 30 2020 phickey
drwxr-x--- 27 phook jhmi 42 Feb 1 2019 phook
drwxr-xr-x 3 phu biostats 10 Nov 12 2014 phu
drwxr-xr-x 43 phubbard biostats 135 Oct 31 2014 phubbard
drwx------ 6 phuber biostats 16 Sep 17 2009 phuber
drwx------ 17 pkaria users 43 Jan 6 2020 pkaria
drwx--x--- 66 pkundu users 226 Apr 2 15:55 pkundu
drwx------ 13 pmaas biostats 17 Jul 16 2014 pmaas
drwxr-x--- 25 pmudvari users 38 Oct 4 2016 pmudvari
drwxr-xr-x 41 pmurakam biostats 63 Mar 29 2016 pmurakam
drwx------ 16 pmurakam_jhbc jhbc 27 Apr 14 2014 pmurakam_jhbc
drwx------ 37 pnandaku chaklab 63 Jul 5 2018 pnandaku
drwx------ 5 pnathbur users 14 Jun 2 2021 pnathbur
drwx------ 7 pnichola users 19 Mar 10 2021 pnichola
drwx------ 10 pochen biostats 222 Sep 17 2009 pochen
drwx------ 28 ppalchou biostats 118 May 1 2018 ppalchou
drwx------ 19 ppatel epi 397 Sep 17 2009 ppatel
drwx------ 4 ppzandi users 12 Jan 15 2022 ppzandi
drwx------ 8 pravicha lieber_lcolladotor 15 Dec 9 13:33 pravicha
drwxr-xr-x 5 root root 5 Apr 15 2013 project
drwx------ 33 prpatil biostats 108 Oct 22 2016 prpatil
drwx------ 20 psangkha users 32 Feb 10 11:18 psangkha
drwxrwxrw- 8 pschaugh jhmi 18 Jan 16 2015 pschaugh
drwx------ 16 pschloss users 72 Apr 20 05:04 pschloss
drwxrw---- 9 psekula coop 25 Aug 24 2020 psekula
drwx------ 9 psingh users 76 Jan 10 13:41 psingh
drwxr-x--- 28 pssadil users 48 Apr 21 17:04 pssadil
drwx------ 4 pssadil1 users 10 Jul 28 2021 pssadil1
drwx------ 6 psundara users 16 Jun 20 2022 psundara
drwx------ 4 pthielen jhmi 10 Dec 8 2011 pthielen
drwxr-x--- 10 lhorvath jhmi 21 Sep 2 2015 pthomson
drwx------ 5 ptsai users 13 Jan 12 09:24 ptsai
drwx------ 5 pwang users 13 Aug 21 2017 pwang
drwxr-x--- 28 pwulfrid feinberglab 69 Feb 15 23:54 pwulfrid
drwx------ 10 qcai biostats 691 Dec 22 2016 qcai
drwx------ 34 qchen lieber 53 May 1 22:18 qchen
drwxr-x--- 7 qhuang users 45 Aug 3 2016 qhuang
drwx------ 7 qke users 15 Sep 15 2019 qke
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drwxr-xr-x 4 qxue jhmi 12 Sep 17 2009 qxue
drwx------ 3 qyu jhbc 7 May 4 2010 qyu
drwx------ 5 rahmad users 13 Dec 2 2020 rahmad
drwx------ 23 ralharir users 71 Apr 19 19:22 ralharir
drwx------ 3 rallozi biostats 7 Aug 26 2010 rallozi
drwx------ 5 rbao users 13 Apr 21 2021 rbao
drwxr-xr-x 2 rbrookme biostats 6 Sep 17 2009 rbrookme
drwxr-x--- 3 rcastill users 9 Apr 20 2015 rcastill
drwx------ 3 rchase biostats 7 Sep 17 2009 rchase
drwx------ 19 rchen users 31 May 4 15:48 rchen
drwxrwxrwx 3 rchopra coop 9 Sep 17 2009 rchopra
drwxr-xr-x 14 rcoley biostats 29 Feb 23 2018 rcoley
drwx------ 3 rcurley jhmi 9 Oct 24 2012 rcurley
drwxr-xr-x 7 rdellen coop 18 Dec 4 2013 rdellen
drwx------ 19 rdesouza users 34 Jun 7 2021 rdesouza
drwx------ 15 rding jhmi 18 Sep 17 2009 rding
drwx------ 18 rdossant users 33 Feb 16 07:18 rdossant
drwxr-xr-x 11 rdunn biostats 18 Sep 17 2009 rdunn
drwxrwx--- 24 arking jhmi 92 Jul 17 2020 reggebee
drwxrwx--- 41 rerbe users 109 Feb 16 10:17 rerbe
drwx------ 9 rghosal users 17 Mar 4 14:39 rghosal
drwxr-x--- 5 rgillani biostats 12 Apr 1 2015 rgillani
drwx------ 7 rgollosh users 15 Feb 16 10:28 rgollosh
drwxr-xr-x 27 rguerrer guerrero_lab 126 Aug 14 2017 rguerrer
drwx------ 3 rhyolken stanley 9 Jan 18 2013 rhyolken
drwxr-x--- 25 ricardo.jacomini lieber_apaquola 731 Mar 8 2022 ricardo.jacomini
drwxr-xr-x 87 ririzarr biostats 283 Mar 12 2019 ririzarr
drwx------ 8 rishiwat users 56 Feb 4 2021 rishiwat
drwxr-xr-x 13 rjohnso2 biostats 21 Sep 17 2009 rjohnso2
drwx------ 20 rkarbala users 33 May 4 13:45 rkarbala
drwx------ 16 rkarchin jhwse 28 Nov 18 11:05 rkarchin
drwx------ 95 rkostadi biostats 192 Jun 27 2022 rkostadi
drwxr-x--x 16 rlandis users 35 Mar 1 15:18 rlandis
drwxr-x--- 20 rli users 46 Apr 5 14:17 rli
drwxr-x--- 6 rlifshit segev 14 Jan 21 2021 rlifshit
drwxr-xr-x 46 rlin biostats 100 Sep 17 2009 rlin
drwx------ 16 rliu users 30 Apr 13 2020 rliu
drwx------ 19 rliu1 users 30 Dec 11 2021 rliu1
drwx------ 3 rlochbat 140.688_class 9 Apr 10 2018 rlochbat
drwxr-xr-x 37 arking jhmi 74 Jul 23 2021 rlongcha
drwxr-x--- 19 rlskolas1 users 38 Jan 20 13:47 rlskolas1
drwxr-xr-x 7 rluo users 20 Jun 15 2017 rluo
drwx------ 3 rmandal users 10 Jan 3 2020 rmandal
drwx------ 3 rmarkham mmi 8 Jan 7 2010 rmarkham
drwx------ 8 rmathias jhmi 30 Dec 20 2018 rmathias
drwx------ 19 rmiller lieber_marmaypag 27 May 2 16:34 rmiller
drwx------ 4 rmunday users 11 Jun 16 2021 rmunday
drwx------ 3 rmusci mh 9 Apr 15 2013 rmusci
drwx------ 16 rnair users 69 Jan 26 2021 rnair
drwx------ 19 rnataraj users 183 Apr 20 22:26 rnataraj
drwx------ 11 rolesen users 21 Dec 19 2016 rolesen
drwx------ 13 rpanapar users 22 Jul 1 2020 rpanapar
drwx--x--x 23 rpeng biostats 37 Aug 10 2022 rpeng
drwxr-x--- 9 rphillip users 128 Jul 31 2015 rphillip
drwxr-x--- 18 rpresskr users 33 Aug 7 2020 rpresskr
drwx------ 13 rrazaghi sph140636 24 Oct 17 2018 rrazaghi
drwxr-x--- 10 rrose users 24 Sep 9 2015 rrose
drwxr-xr-x 65 rscharpf biostats 93 May 3 19:43 rscharpf
drwxr-x--- 30 rseverso users 49 Oct 19 2017 rseverso
drwxrwxr-x 6 rshi beer 17 Jul 24 2019 rshi
drwxr-xr-x 50 rshinoha biostats 110 May 22 2016 rshinoha
drwxr-xr-x 13 rshlomit baderlab 24 May 9 2016 rshlomit
drwx------ 9 rsiegelm users 21 Jan 13 09:08 rsiegelm
drwx------ 5 rsolecki coop 89 Nov 27 2012 rsolecki
drwx------ 8 rsschrot users 18 Apr 21 13:58 rsschrot
drwx------ 24 rstraub lieber 42 Apr 10 07:24 rstraub
drwx------ 4 rsullens biostats 11 Sep 17 2009 rsullens
drwxr-xr-x 4 rswift mmi 18 Apr 25 2014 rswift
drwx------ 19 rtao users 44 Sep 27 2019 rtao
drwxr-xr-x 17 rthompso biostats 121 Sep 17 2009 rthompso
drwx------ 4 rtryggva feinberglab 10 Mar 31 2014 rtryggva
drwx------ 10 rtryggva1 users 22 Jul 11 2018 rtryggva1
drwxr-xr-x 32 rvaradha biostats 150 Sep 17 2009 rvaradha
drwxr-xr-x 25 rwelsh users 61 Feb 9 2021 rwelsh
drwx------ 8 rwhitake biostats 25 Sep 17 2009 rwhitake
drwx------ 20 rwilton users 35 Sep 23 2022 rwilton
drwx------ 4 rwojciec epi 10 Nov 17 2011 rwojciec
drwx------ 18 rwu users 45 Oct 17 2022 rwu
drwx------ 12 rxu users 21 Apr 10 15:46 rxu
drwx------ 54 rzhao users 80 May 5 13:57 rzhao
drwx--x--x 31 rzhao1 users 59 May 5 23:08 rzhao1
drwx------ 11 rzhu users 22 Feb 5 2019 rzhu
drwx------ 10 rzou users 20 Oct 24 2016 rzou
drwx------ 6 rzuckerm biostats 16 Sep 17 2009 rzuckerm
drwx------ 5 sadiraju users 13 Oct 29 2021 sadiraju
drwx------ 10 sakumall sph140636 23 Oct 26 2016 sakumall
drwx------ 4 salzberg jhmi 9 Apr 2 2012 salzberg
drwx------ 45 sandrews epi 315 Dec 2 2018 sandrews
drwxr-x--- 4 sanjum segev 31 Dec 17 2015 sanjum
drwx------ 6 sardeshi users 15 Jul 23 2020 sardeshi
drwx------ 4 saripira jhuas 11 Sep 17 2009 saripira
drwxr-xr-x 45 sarven jhmi 298 Sep 28 2017 sarven
drwx------ 16 saseth biostats 32 Sep 17 2009 saseth
drwx------ 7 sbach users 14 May 6 2020 sbach
drwxr-x--- 87 sbae segev 115 Mar 29 13:29 sbae
drwxr-x--- 23 sbandara health_homes 138 May 4 14:24 sbandara
drwxr-xr-x 4 sbarry biostats 8 Sep 17 2009 sbarry
drwx------ 35 sbattle users 103 Nov 8 09:31 sbattle
drwx------ 12 sberke users 24 Mar 22 12:58 sberke
drwxrwx--- 32 sboca biostats 66 Sep 17 2009 sboca
drwx------ 13 sbomotti epi 24 Aug 18 2017 sbomotti
drwxr-x--- 9 sbomotti1 biostats 18 Apr 30 2015 sbomotti1
drwx------ 6 sbrooks 140.688_class 13 Apr 10 2018 sbrooks
drwx------ 10 sbrown epi 46 Jan 16 2014 sbrown
drwx------ 4 scanzar jhmi 11 Oct 28 2012 scanzar
drwxr-x--- 11 scao users 23 Dec 3 2015 scao
drwx------ 12 schadid users 22 May 30 2018 schadid
drwxr-xr-x 15 schadinh lieber_jaffe 45 Aug 18 2019 schadinh
drwx------ 24 schadsut epi 73 Apr 6 2011 schadsut
drwxrws--x 33 schakrab coop 413 Feb 5 2018 schakrab
drwx------ 9 schatter chaklab 21 Mar 12 2018 schatter
drwx------ 38 schavan jhmi 10861 Apr 1 2022 schavan
drwxr-xr-x 16 schen jhmi 46 Sep 17 2009 schen
drwxr-x--- 5 scheng users 39 Jan 4 2018 scheng
drwx------ 5 schhetri users 13 Jan 11 17:34 schhetri
drwxr-xr-x 13 schoi biostats 25 Apr 13 2016 schoi
drwxr-xr-x 16 scli biostats 30 Apr 8 2014 scli
drwxr-x--- 30 sclipman sph140636 47 Apr 17 2020 sclipman
drwx------ 21 sconnor users 36 Apr 17 07:54 sconnor
drwxr-x--- 10 scramm users 18 Feb 29 2016 scramm
drwxr-xr-x 54 scristia biostats 107 Apr 21 11:08 scristia
drwxr-x--- 12 sdas users 442 Jul 22 2016 sdas
drwxrwsr-x 2 jgatuso bstsdoc 2 Sep 11 2009 sdoc
drwx------ 24 sdria jhmi 35 May 18 2012 sdria
drwxr-xr-x 11 seckel biostats 20 Sep 17 2009 seckel
drwxr-xr-x 18 seftim biostats 40 Sep 17 2009 seftim
drwxrwx--- 42 sellis jhmi 95 Apr 18 2019 sellis
drwxr-xr-x 17 sfkiihl biostats 41 Sep 17 2009 sfkiihl
drwxr-xr-x 20 sganesh coop 52 Sep 17 2009 sganesh
drwx------ 6 sgarcia barnes 15 Jun 21 2013 sgarcia
drwx------ 29 sgeorge users 77 Aug 7 2022 sgeorge
drwx------ 20 sgeuter users 34 Mar 9 2018 sgeuter
drwx------ 11 sghimire users 19 Jan 11 2022 sghimire
drwxr-xr-x 2 sgoodman biostats 5 Sep 17 2009 sgoodman
drwx------ 29 sgowrisa users 115 Jan 22 00:14 sgowrisa
drwx------ 14 sgreven visitor 32 Sep 17 2009 sgreven
drwx------ 4 sgrimes users 11 Mar 23 16:49 sgrimes
drwxr-xr-x 2 sgunnste biostats 3 Sep 17 2009 sgunnste
drwx------ 24 arking jhmi 198 Nov 5 2014 sgupta
drwx-wx--- 24 shachen biostats 37 Mar 16 2016 shachen
drwx------ 19 shan users 31 Apr 21 17:22 shan
drwxr-xr-x 14 she biostats 79 Sep 17 2009 she
drwxr-xr-x 12 sheins users 294 Apr 9 2018 sheins
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drwxr-x--- 35 shicks1 users 52 May 2 12:05 shicks1
drwx------ 16 shizhang biostats 46 Oct 15 2015 shizhang
drwx------ 9 shkelly users 21 Aug 22 2022 shkelly
drwx------ 49 shli biostats 98 Dec 27 2014 shli
drwx------ 11 shokwon users 28 May 6 2020 shokwon
drwxr-xr-x 2 shsu biostats 10 Sep 17 2009 shsu
drwxr-x--- 11 shuang pinedalab 27 Sep 17 2009 shuang
drwx------ 7 shussain users 16 Feb 21 11:38 shussain
drwxr-x--- 13 shutfles epi 68 Feb 19 2019 shutfles
drwxr-xr-x 40 shxu biostats 70 Oct 14 2015 shxu
drwx------ 7 siyer users 39 Sep 14 2022 siyer
drwx------ 32 sjahansi users 66 May 3 15:12 sjahansi
drwxr-xr-x 10 sjarso jhmi 18 Oct 26 2012 sjarso
drwx------ 10 sjharris users 18 Feb 15 01:28 sjharris
drwx------ 21 sjiang sph140636 36 Oct 19 2018 sjiang
drwxr-xr-x 5 sjin biostats 10 Sep 17 2009 sjin
drwx------ 8 sjinlim users 16 Jun 18 2020 sjinlim
drwx------ 3 skacker jhmed_id 8 Dec 29 2011 skacker
drwx------ 38 skambham users 91 Mar 5 2021 skambham
drwxr-x--- 18 skhasawi biostats 45 Sep 17 2009 skhasawi
drwxrwx--- 13 skim users 30 Sep 24 2022 skim
drwx------ 26 skim1 users 60 May 5 17:22 skim1
drwx------ 4 skim3 biostats 11 Sep 17 2009 skim3
drwx------ 4 agemperl biostats 11 Jan 3 2005 skohilas
drwx------ 19 skoul users 35 May 5 16:05 skoul
drwx------ 13 skross users 29 Jul 12 2017 skross
drwxr-xr-x 25 skuhn biostats 42 Sep 17 2009 skuhn
drwx------ 3 skuramot biostats 8 Sep 17 2009 skuramot
drwx------ 5 skwatra users 12 Dec 2 2020 skwatra
drwxr-x--- 8 slaskey biostats 19 Apr 30 2015 slaskey
drwx------ 23 slee coop 45 Mar 5 2013 slee
drwx------ 8 slepoev users 55 Aug 26 2022 slepoev
drwx------ 17 sli jhmi 35 Sep 17 2009 sli
drwx--x--- 29 sli1 users 44 May 3 21:31 sli1
drwx------ 4 sli2 users 10 Jan 25 12:36 sli2
drwx------ 28 slin jhmi 81 Sep 17 2009 slin
drwx------ 5 slin1 users 13 Jan 26 2022 slin1
drwxr-x--- 5 sliu users 16 Jul 28 2022 sliu
drwxr-x--- 13 sloomis users 23 Jul 16 2019 sloomis
drwxr-xr-x 2 sluo biostats 6 Sep 17 2009 sluo
drwx------ 24 sluo1 users 53 Jun 6 2020 sluo1
drwx------ 16 smaden users 47 Apr 11 15:48 smaden
drwx------ 20 smburke users 42 Sep 13 2022 smburke
drwxr-sr-x 8 smcclymo epi 17 Jul 7 2016 smcclymo
drwx------ 6 smiller users 14 Sep 15 2017 smiller
drwx------ 16 smirza users 35 Oct 7 2022 smirza
drwx------ 25 smohazza users 56 Jul 24 2019 smohazza
drwx------ 30 smukherj users 132 May 3 12:19 smukherj
drwx------ 6 smunshaw jhmed_id 17 Feb 18 2013 smunshaw
drwx------ 8 smurphy jhbc 15 Nov 11 2011 smurphy
drwx------ 10 snagaraj users 20 May 5 17:27 snagaraj
drwxr-x--- 33 snaseema users 641 Sep 9 2018 snaseema
drwx------ 28 spage users 54 Jan 18 11:26 spage
drwx--x--x 2 spaithan biostats 7 Sep 17 2009 spaithan
drwx------ 13 span users 42 Sep 10 2019 span
drwxr-x--- 6 sparasra1 users 13 Oct 23 2017 sparasra1
drwx------ 15 spark users 154 Apr 1 2020 spark
drwx------ 13 sparthib users 40 Apr 14 14:14 sparthib
drwx------ 13 spasca users 23 Dec 23 2021 spasca
drwx------ 18 spatole users 30 Jul 7 2021 spatole
drwx------ 2 speri1 biostats 8 Sep 17 2009 speri1
drwxr-x--- 6 fernando sph140636 14 Oct 18 2018 sph140636
drwxr-xr-x 2 spiantad biostats 5 Sep 17 2009 spiantad
drwx------ 6 spinglay chaklab 18 Apr 8 2014 spinglay
drwx------ 8 spramani users 16 Jan 6 23:01 spramani
drwx------ 8 sqing users 47 Apr 2 2018 sqing
drwx------ 7 sraj users 17 Sep 12 2019 sraj
drwxr-xr-x 24 sramazan feinberglab 38 Apr 4 2017 sramazan
drwx------ 5 sray jhmed_id 13 Sep 17 2009 sray
drwxr-x--- 13 sray1 users 113 Jul 29 2016 sray1
drwx------ 7 srifkin 140.688_class 15 Apr 10 2018 srifkin
drwx------ 8 srose biostats 2676 Jan 29 2014 srose
drwx------ 5 srusk users 14 Oct 7 2020 srusk
drwx------ 13 sryan users 23 Mar 12 2021 sryan
drwx------ 23 ssabbah users 63 May 15 2018 ssabbah
drwx------ 86 ssabunci stanley 237 Mar 10 12:26 ssabunci
drwxr-x--- 15 ssaini users 32 Aug 29 2016 ssaini
drwx------ 3 ssalter biostats 8 Sep 12 2013 ssalter
drwx--x--- 4 ssampath chaklab 11 Jun 13 2011 ssampath
drwx------ 4 sselvin visitor 13 Sep 17 2009 sselvin
drwxr-x--- 56 ssemick lieber_jaffe 134 Jan 3 2021 ssemick
drwxr-x--- 16 sseo carlo 45 Nov 17 13:34 sseo
drwx------ 13 sshah users 24 Aug 8 2017 sshah
drwxr-xr-x 4 sshankri khansen_class 11 May 2 2014 sshankri
drwx------ 23 sshengji users 33 Jan 8 2022 sshengji
drwx------ 16 sshi users 31 Aug 3 2018 sshi
drwxr-x--- 11 sshort users 21 Dec 5 2016 sshort
drwx------ 5 ssong users 12 Mar 8 15:40 ssong
drwxr-x--- 16 ssonthal carlo 30 Jun 30 2022 ssonthal
drwx------ 59 ssuter users 99 Feb 6 2020 ssuter
drwx------ 4 ssuwanma users 11 Feb 5 2020 ssuwanma
drwx--x--x 7 sswanson biostats 16 Sep 17 2009 sswanson
drwx------ 30 stakaoka users 45 May 1 11:00 stakaoka
drwxr-x--- 14 sthawill sph140636 47 Oct 12 2016 sthawill
drwxr-xr-x 12 stian biostats 171 Sep 17 2009 stian
drwx------ 19 stirumal users 31 Nov 17 2017 stirumal
drwx------ 12 styagi lieber_marmaypag 23 Jun 17 2022 styagi
drwxr-x--- 5 sungkang users 12 Mar 4 2016 sungkang
drwx------ 9 svanderp users 20 Jan 30 2019 svanderp
drwxrwx--- 31 svenkata users 75 May 5 21:11 svenkata
drwxrw-rw- 37 sventuri visitor 42 Sep 17 2009 sventuri
drwx------ 9 swang biostats 30 Sep 17 2009 swang
drwxr-xr-x 25 swang1 users 40 Nov 8 2021 swang1
drwx------ 10 swang118 mh 19 Mar 20 2015 swang118
drwx------ 8 swang2 users 18 Feb 22 09:20 swang2
drwx------ 4 swang3 users 11 Mar 22 15:57 swang3
drwx------ 33 swarren visitor 45 Sep 17 2009 swarren
drwxr-x--- 24 swengcho users 38 May 7 2019 swengcho
drwxr-xr-x 8 swheelan jhmi 29 Oct 22 2014 swheelan
drwx------ 14 swhite users 55 May 11 2022 swhite
drwx------ 11 swilliam epi 38 May 16 2012 swilliam
drwx------ 17 swongvib users 35 Jul 16 2020 swongvib
drwx------ 20 sxiao sph140636 34 Nov 15 2018 sxiao
drwx------ 17 sxiao1 users 45 Apr 18 23:23 sxiao1
drwx------ 8 sxu biostats 16 Apr 25 2014 sxu
drwx------ 19 sxu1 users 33 Dec 7 01:06 sxu1
drwxr-xr-x 11 syegnasu jhmi 45 Sep 17 2009 syegnasu
drwx------ 10 syonamin users 18 Jan 25 16:35 syonamin
drwx------ 18 syou users 33 Apr 19 10:55 syou
drwxr-xr-x 42 syounkin biostats 73 Feb 26 2014 syounkin
drwx------ 6 hpscc root 10 Jan 17 2014 sys_backups
drwxr-x--- 36 syu segev 60 Mar 8 2021 syu
drwxr-xr-x 118 szeger biostats 236 Sep 17 2009 szeger
drwx------ 18 szeng users 38 Apr 21 15:17 szeng
drwx------ 5 szhang users 14 Oct 19 2022 szhang
drwxr-xr-x 43 szheng users 76 Jan 2 12:03 szheng
drwxr-x--- 26 szhou segev 32 Jun 18 2018 szhou
drwx------ 11 szhu users 21 Mar 25 2022 szhu
drwx------ 7 szli coop 14 Jul 19 2012 szli
drwx------ 16 taung users 39 Jan 27 2021 taung
drwxr-x--- 5 tbeaty epi 12 Sep 17 2009 tbeaty
drwx------ 5 tboen users 12 Jun 30 2021 tboen
drwxrwxrwx 8 tboyer users 18 Aug 22 2022 tboyer
drwx------ 7 tbrown users 16 Oct 14 2022 tbrown
drwxr-x--- 15 tbryant users 31 Aug 2 2017 tbryant
drwx------ 17 tchang users 447 Apr 7 22:53 tchang
drwx------ 9 tchen users 17 Apr 12 2018 tchen
drwxr--r-- 13 tcreamer jhmi 27 Nov 20 2015 tcreamer
drwxr-x--- 9 tdai users 18 Apr 9 2016 tdai
drwx------ 8 tdigiaci jhsphis 18 Sep 17 2009 tdigiaci
drwx------ 4 tdoucet jhmi 10 Nov 2 2012 tdoucet
drwx------ 11 tevans users 22 Jul 22 2021 tevans
drwxr-x--- 30 tgao users 41 Sep 29 2021 tgao
drwx------ 4 nobody users 11 Mar 27 2019 tgonzale
drwxrwx--- 15 tgreen epi 31 Sep 26 2011 tgreen
drwx------ 12 the users 22 Mar 1 2018 the
drwx------ 19 thwang users 33 Apr 20 11:30 thwang
drwxr-x--- 22 tishaque users 32 Dec 14 20:39 tishaque
drwx------ 3 tizhang coop 9 Apr 8 2013 tizhang
drwx------ 6 tkatipal users 14 Sep 10 2018 tkatipal
drwx------ 10 tle users 18 Feb 2 2022 tle
drwx------ 7 tle23 jhwse 17 Sep 17 2009 tle23
drwx------ 39 tli nobody 59 May 2 16:17 tli
drwx------ 20 tli1 users 51 Jul 29 2022 tli1
drwx------ 12 tliang users 24 Apr 14 11:28 tliang
drwx------ 8 tliu users 17 Sep 4 2020 tliu
drwx------ 4 tlong users 10 Jan 25 12:36 tlong
drwx------ 11 tlouis biostats 68 Oct 30 2019 tlouis
drwxr-x--- 8 tluechte caat 18 Mar 19 2015 tluechte
drwx------ 19 tmoore users 77 Sep 15 2022 tmoore
drwx------ 12 tmosbrug jhmi 42 Sep 17 2009 tmosbrug
drwx------ 42 tmurray epi 63 Sep 17 2009 tmurray
drwx------ 3 tnath users 9 Nov 6 2019 tnath
drwx------ 25 tnath1 users 41 Nov 19 12:47 tnath1
drwxr-xr-x 19 tnguyen mh 34 Dec 11 2018 tnguyen
drwx------ 12 tnieuwen users 27 May 1 2021 tnieuwen
drwxr-x--- 44 tniranj jhmigenetics 71 Jan 13 2014 tniranj
drwx------ 42 tpalmer users 66 May 4 10:18 tpalmer
drwxr-x--- 5 tperl users 12 Nov 5 2018 tperl
drwx------ 3 tprior biostats 7 Sep 17 2009 tprior
drwx------ 4 tpritcha users 10 Dec 2 2020 tpritcha
drwxr-x--- 4 tpurnell segev 10 Apr 7 2014 tpurnell
drwx------ 25 tqian biostats 21744 Jun 18 2019 tqian
drwx------ 4 treangen jhmi 9 Jun 24 2011 treangen
drwx------ 15 trl users 26 Nov 24 2020 trl
drwx------ 4 trnirsch users 11 Jun 29 2022 trnirsch
drwxr-xr-x 19 tsalz feinberglab 55 Aug 26 2016 tsalz
drwx------ 6 tschall users 14 Aug 25 2020 tschall
drwx------ 10 tsherman users 18 Jan 24 2019 tsherman
drwx------ 9 lizhang coop 19 Apr 15 2005 tsu
drwxr-x--- 27 tturner chaklab 40 Jul 25 2016 tturner
drwx------ 33 tunison users 68 May 3 08:07 tunison
drwx------ 14 tusher biostats 33 Oct 14 2015 tusher
drwx------ 4 twang jhmigenetics 12 Sep 17 2009 twang
drwx------ 16 twang1 users 40 Jul 15 2022 twang1
drwxrwx--- 15 twu epi 475 Sep 17 2009 twu
drwx------ 23 twu1 users 74 Sep 29 2019 twu1
drwxr-xr-x 7 tyang jhwse 23 Sep 17 2009 tyang
drwx------ 3 tye3 lieber 10 Oct 30 2013 tye3
drwx------ 17 tzhang epi 102 Jun 1 2011 tzhang
drwx------ 14 tzhao visitor 35 May 2 2014 tzhao
drwx------ 14 uakoma users 29 Aug 9 2022 uakoma
drwx------ 28 ukaipa lieber_marmaypag 93 May 5 15:03 ukaipa
drwx------ 4 uutaipat epi 11 Sep 17 2009 uutaipat
drwx------ 4 vbenders users 11 May 6 2021 vbenders
drwx------ 11 vbilliou users 23 Jul 29 2019 vbilliou
drwx------ 16 vbusa users 25 Aug 11 2021 vbusa
drwx------ 5 vcarey coop 14 Sep 17 2009 vcarey
drwx------ 46 vcharu biostats 96 May 23 2016 vcharu
drwxr-x--- 10 vdadfar users 24 Dec 31 2015 vdadfar
drwx------ 6 vgreen users 15 Apr 20 14:56 vgreen
drwx------ 4 vhahn users 11 Jun 29 2022 vhahn
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drwx------ 17 vjain users 30 May 5 23:58 vjain
drwx------ 22 vkhatri2 biostats 29 Dec 31 2014 vkhatri2
drwx------ 9 vlhanda users 45 Apr 27 2018 vlhanda
drwx------ 12 lhuang jhmi 28 May 17 2012 vmantese
drwxr-x--- 30 davramop dalab 43 Aug 21 2018 vmonlux
drwx------ 19 vmorrill users 58 May 6 2019 vmorrill
drwx------ 24 vmorrill1 users 39 Jan 30 15:40 vmorrill1
drwxr-xr-x 7 vpihur chaklab 17 Sep 17 2009 vpihur
drwxr-xr-x 54 vpillala lieber_jaffe 139 Apr 7 17:21 vpillala
drwxr-xr-x 25 vpushpa jhmi 189 Sep 17 2009 vpushpa
drwx------ 2 vrangana jhmi 10 Sep 19 2011 vrangana
drwxr-x--- 39 vrodrigu feinberglab 180 Aug 20 2018 vrodrigu
drwx------ 11 vssempij biostats 19 Sep 17 2009 vssempij
drwx------ 23 vthairu biostats 46 Sep 17 2009 vthairu
drwx------ 26 vthuyduo users 60 May 4 16:44 vthuyduo
drwx------ 5 vvanchin users 16 Oct 6 2021 vvanchin
drwx------ 4 vvenugop biostats 11 Sep 17 2009 vvenugop
drwx------ 5 vwimalas users 13 Jul 21 2022 vwimalas
drwx------ 8 vzipunni biostats 16 Feb 5 2014 vzipunni
drwxr-xr-x 28 wchen users 47 Apr 19 13:33 wchen
drwx------ 7 wcoe users 15 Oct 31 2018 wcoe
drwx------ 24 wdai users 36 May 28 2022 wdai
drwxr-x--- 4 wdeng markhamlab 13 Mar 19 2015 wdeng
drwxr-x--- 23 wdinalan users 35 Jan 19 17:43 wdinalan
drwx------ 31 wdurand users 51 May 5 20:17 wdurand
drwx------ 7 wehung biostats 23 Sep 17 2009 wehung
drwxr-xr-x 27 wewang biostats 63 Sep 17 2009 wewang
drwxr-xr-x 32 wfang biostats 59 May 5 13:40 wfang
drwx------ 8 wfelder users 17 Nov 30 2017 wfelder
drwx--x--x 15 whou users 29 May 2 11:36 whou
drwx------ 14 whuang users 23 Nov 1 2019 whuang
drwxr-xr-x 8 whuang1 users 27 Sep 20 2021 whuang1
drwxr-xr-x 3 wisaacs epi 9 Mar 12 2014 wisaacs
drwxr-x--- 24 wjenkin6 feinberglab 52 Jun 28 2018 wjenkin6
drwx------ 15 wjin users 26 May 7 2021 wjin
drwxrwxr-x 14 wkao epi 29 Sep 17 2009 wkao
drwxr-x--- 47 wkim users 65 Nov 12 2018 wkim
drwxr-xr-x 3 wli khansen_class 10 Apr 11 2014 wli
drwxr-xr-x 17 wli1 epi 91 Feb 27 2018 wli1
drwx--x--x 15 wli2 users 19 Feb 5 08:44 wli2
drwx------ 23 wli3 users 49 Apr 6 23:15 wli3
drwx------ 25 wlin users 42 Apr 7 2017 wlin
drwx------ 22 wlu users 51 Mar 30 11:38 wlu
drwxr-xr-x 25 wmchen biostats 111 Sep 17 2009 wmchen
drwx------ 31 wshi users 80 May 3 10:39 wshi
drwxrwx--- 17 wsong users 28 Apr 20 21:32 wsong
drwxr-xr-x 36 wtimp jhmi 72 Jun 22 2016 wtimp
drwxr-x--- 38 wulrich users 63 Apr 21 09:08 wulrich
drwxr-xr-x 23 wwang2 biostats 122 Sep 17 2009 wwang2
drwx------ 6 wwerbel users 18 Nov 4 2020 wwerbel
drwxr-x--- 88 wyang jhmi 334 Jul 19 2018 wyang
drwx------ 26 wzhan users 50 May 5 01:40 wzhan
drwxr-x--- 11 wzhang mmi 21 Aug 1 2018 wzhang
drwxrwx--- 25 dray geneva 40 May 30 2020 wzhang1
drwxr-x--- 22 wzhang2 segev 32 Mar 13 2020 wzhang2
drwxr-x--- 88 wzhou14 biostats 129 May 5 13:25 wzhou14
drwx------ 3 xchen users 9 Aug 28 2019 xchen
drwx------ 7 xchen1 users 18 Jul 8 2020 xchen1
drwx------ 32 xchen2 users 71 Aug 4 2022 xchen2
drwx------ 3 xcheng lieber 9 Jul 3 2013 xcheng
drwx------ 7 xding users 17 Feb 13 13:12 xding
drwx------ 37 xfang coop 101 Apr 6 2020 xfang
drwx------ 23 xguo users 39 Apr 19 21:32 xguo
drwx------ 29 xhong pfrh2 112 Apr 19 14:34 xhong
drwx------ 3 xiaoxu biostats 7 Aug 26 2010 xiaoxu
drwx------ 8 xiazhou biostats 47 Sep 17 2009 xiazhou
drwx------ 15 ximli biostats 25 Sep 7 2022 ximli
drwxr-xr-x 81 xinli feinberglab 134 Nov 23 2021 xinli
drwx------ 6 xizhou biostats 14 Sep 17 2009 xizhou
drwx------ 5 xji jhuas 13 Sep 17 2009 xji
drwx------ 10 xjia users 21 Jun 20 2019 xjia
drwxr-xr-x 15 xli biostats 52 Sep 17 2009 xli
drwx------ 14 xli1 users 25 May 7 2018 xli1
drwx------ 10 xli2 users 28 Apr 4 2019 xli2
drwx--x--x 24 xli3 users 36 Apr 16 11:20 xli3
drwxrwx--- 16 xli4 users 55 Mar 13 06:43 xli4
drwx------ 34 xliang users 51 May 3 18:23 xliang
drwxr-x--- 14 xliu users 30 Mar 10 2017 xliu
drwxr-xr-x 21 xluo biostats 62 Sep 17 2009 xluo
drwxr-x--- 19 xluo9 segev 70 Jun 21 2020 xluo9
drwx------ 13 xning users 126 Jul 9 2019 xning
drwx------ 4 xpeng users 12 Oct 13 2020 xpeng
drwx------ 5 xqu users 13 Jan 11 15:49 xqu
drwx------ 13 xreed1 jhmi 226 Nov 24 2014 xreed1
drwx------ 29 xshao users 47 Dec 14 16:16 xshao
drwx------ 4 xwu users 11 Apr 19 15:37 xwu
drwx------ 15 xxie users 26 Sep 14 2018 xxie
drwx------ 12 xying users 338 May 5 01:44 xying
drwxr-xr-x 43 xyou biostats 247 Sep 17 2009 xyou
drwxr-x--- 48 xzhang biostats 387 Aug 8 2016 xzhang
drwx------ 6 xzhang1 users 14 Jun 6 2016 xzhang1
drwx------ 50 xzhang2 users 258 Apr 18 2022 xzhang2
drwx------ 22 xzhifang users 56 Apr 16 22:43 xzhifang
drwx------ 31 xzhong jhams 45 Sep 17 2009 xzhong
drwx------ 7 xzhou users 20 Dec 2 22:06 xzhou
drwx------ 14 xzhou2 users 24 May 5 23:23 xzhou2
drwx------ 9 xzhu users 16 May 3 2019 xzhu
drwx------ 8 xzhu1 users 18 Feb 26 2021 xzhu1
drwx------ 18 yai users 33 Mar 20 2022 yai
drwx------ 12 yakosaan users 20 May 18 2020 yakosaan
drwxr-x--- 10 yalfonso pfrh 18 Jul 19 2016 yalfonso
drwxr-x--- 6 yalimi users 15 May 25 2016 yalimi
drwx------ 3 yaolu biostats 8 Sep 17 2012 yaolu
drwx--x--x 8 yapwang biostats 18 Sep 17 2009 yapwang
drwx------ 13 ybai users 26 Jun 30 2022 ybai
drwx------ 20 ybai1 users 39 Apr 21 16:51 ybai1
drwx------ 3 ybai10 biostats 8 Sep 12 2013 ybai10
drwx------ 41 ybhandar users 75 Dec 20 2021 ybhandar
drwx------ 15 ycao users 640 Apr 2 2018 ycao
drwx------ 5 ychang biostats 1030 Sep 17 2009 ychang
drwx------ 30 ychen users 170 Oct 28 2022 ychen
drwx------ 22 ychen1 users 62 May 1 18:30 ychen1
drwx------ 26 ychen2 users 39 May 2 11:13 ychen2
drwx------ 9 ychen3 users 59 May 5 15:27 ychen3
drwx------ 17 ychen4 biostats 53 Jul 8 2016 ychen4
drwx------ 3 ycheng2 epi 10 Sep 17 2009 ycheng2
drwxr-x--- 3 ycheng3 biostats 6 Sep 17 2009 ycheng3
drwx------ 7 ydong users 44 May 5 14:47 ydong
drwx------ 21 ydu biostats 32 Jan 27 2018 ydu
drwx------ 20 ydun users 125 May 6 01:26 ydun
drwx------ 9 yfan users 17 Dec 28 2020 yfan
drwx------ 44 yfang users 70 Jan 16 17:10 yfang
drwx------ 3 yfeng users 9 Sep 25 2019 yfeng
drwx------ 18 yfeng1 users 67 Jun 4 2021 yfeng1
drwx------ 10 yge users 22 Mar 26 2021 yge
drwx------ 15 ygu users 34 Dec 15 2017 ygu
drwxrwxr-x 15 yhe khansen_class 33 Jan 18 2015 yhe
drwxr-xr-x 30 yhuang biostats 82 Sep 17 2009 yhuang
drwxr-x--- 30 yhuang1 users 97 Apr 26 2019 yhuang1
drwx------ 6 yhwang users 15 Sep 30 2020 yhwang
drwxr-xr-x 2 yijzhou biostats 7 Sep 17 2009 yijzhou
drwx------ 16 yilu biostats 69 Dec 11 2016 yilu
drwxr-xr-x 4 yji khansen_class 14 May 2 2014 yji
drwx------ 20 yjia users 32 Aug 20 2019 yjia
drwx------ 5 ykim bio776 15 Sep 17 2009 ykim
drwx------ 5 ykuang users 13 Nov 8 12:22 ykuang
drwxr-xr-x 31 ylee biostats 43 Feb 14 2020 ylee
drwx------ 17 yli2 sph140636 99 Nov 22 2018 yli2
drwx------ 39 yli3 users 60 Nov 18 2019 yli3
drwx------ 26 yli4 users 53 Mar 31 17:12 yli4
drwx------ 25 yli5 users 39 Mar 10 14:56 yli5
drwx------ 10 yli6 users 22 Apr 20 04:28 yli6
drwx------ 14 ylin1 sph140636 25 Oct 19 2018 ylin1
drwxrwx--- 19 ylin2 lieber_jaffe 218 Sep 14 2020 ylin2
drwx------ 6 ylin3 users 155 Feb 8 2022 ylin3
drwx------ 16 yling chaklab 30 May 18 2015 yling
drwxr-xr-x 29 yliu biostats 54 Feb 26 2020 yliu
drwxr-x--- 17 yliu1 users 52 Jul 24 2016 yliu1
drwxr-x--- 3 yliu2 users 9 Dec 3 2015 yliu2
drwxrwx--- 22 dray users 37 May 16 2019 yliu3
drwx--x--x 14 yliu4 users 28 Nov 29 2020 yliu4
drwx------ 6 yliu5 users 13 Jul 15 2020 yliu5
drwx------ 19 yliu6 users 33 May 1 22:43 yliu6
drwxr-xr-x 13 ylu biostats 36 Sep 17 2009 ylu
drwx------ 6 yma 140.688_class 13 Apr 24 2018 yma
drwx------ 18 yman users 21 May 5 00:24 yman
drwx------ 11 ynatalia users 20 May 30 2022 ynatalia
drwxr-xr-- 40 yning biostats 52 Oct 28 2019 yning
drwxr-xr-x 27 yonchen biostats 53 Sep 17 2009 yonchen
drwxr-xr-x 62 yongli coop 81 Mar 1 05:50 yongli
drwxr-xr-x 5 youyang biostats 16 Sep 17 2009 youyang
drwx------ 10 ypark baderlab 18 Apr 7 2010 ypark
drwx------ 5 yqiao users 12 May 9 2018 yqiao
drwx------ 6 yqiao1 users 17 Dec 4 2019 yqiao1
drwx------ 6 yqiao2 users 14 Dec 8 2021 yqiao2
drwxr-x--- 15 yqing biostats 37 Jun 28 2017 yqing
drwx------ 12 ysang1 epi 21 Apr 25 2022 ysang1
drwx------ 19 ysingh users 41 Jun 24 2021 ysingh
drwx------ 26 ysoohong users 41 May 2 09:51 ysoohong
drwx------ 6 ysophier users 13 Dec 2 2020 ysophier
drwxr-x--- 16 ysu biostats 41 Feb 7 2018 ysu
drwxr-xr-x 20 ysuhail jhmi 70 Mar 3 2015 ysuhail
drwx------ 60 ysun biostats 385 Feb 27 2017 ysun
drwx------ 6 ytai bioinfo 22 Sep 17 2009 ytai
drwx------ 8 ytongli users 407 Sep 10 2018 ytongli
drwx------ 19 yuxu biostats 25 Mar 29 2018 yuxu
drwx------ 41 ywang users 57 May 5 13:18 ywang
drwx------ 13 ywang1 users 67 Jan 24 2022 ywang1
drwx------ 5 ywang2 users 13 Feb 10 2021 ywang2
drwx------ 13 ywang3 users 24 Nov 1 2022 ywang3
drwx------ 7 ywang4 users 17 Sep 28 2021 ywang4
drwxr-xr-x 36 ywebbvar biostats 67 Oct 30 2016 ywebbvar
drwx------ 51 ywei biostats 135 Dec 4 2014 ywei
drwx------ 26 ywei1 users 71 May 4 18:30 ywei1
drwx------ 21 ywen users 73 Apr 17 17:09 ywen
drwxr-x--- 7 yweng1 users 29 Sep 4 2015 yweng1
drwxr-xr-x 16 yxiao epi 25 Jan 17 2017 yxiao
drwx------ 9 yxu users 44 Apr 13 2018 yxu
drwx------ 10 yxu1 users 17 Oct 27 2019 yxu1
drwx------ 13 yxu2 users 30 Apr 2 16:14 yxu2
drwx------ 9 yxu3 users 47 Jan 12 2021 yxu3
drwx------ 22 yyang users 70 Feb 24 2020 yyang
drwxr-xr-x 2 yyao epi 3 Sep 17 2009 yyao
drwx------ 32 yye users 50 May 2 18:11 yye
drwxr-xr-x 40 yyin biostats 76 Sep 17 2009 yyin
drwxr-x--- 33 yyu segev 136 Mar 8 2021 yyu
drwx------ 4 yyue users 12 Apr 5 16:36 yyue
drwxr-x--- 28 yzhang users 67 Mar 31 2020 yzhang
drwx------ 20 yzhang1 sph140636 40 Oct 25 2018 yzhang1
drwx------ 12 yzhang2 users 26 Sep 28 2021 yzhang2
drwx------ 16 yzhang3 users 27 Dec 12 15:11 yzhang3
drwx------ 8 yzhang4 users 18 Sep 25 2022 yzhang4
drwx------ 24 yzhao users 34 May 2 06:56 yzhao
drwx------ 28 yzhao1 users 55 May 2 01:10 yzhao1
drwxr-x--- 8 yzheng users 227 Apr 11 2018 yzheng
drwx------ 22 yzhou users 35 Apr 12 2017 yzhou
drwxr-xr-x 32 yzhu biostats 64 Feb 28 12:41 yzhu
drwxr-xr-x 25 yzhu1 users 50 Aug 9 2019 yzhu1
drwx------ 15 yzhuang users 27 Mar 27 2022 yzhuang
drwxr-xr-x 27 zbesich lieber_jaffe 62 Aug 6 2021 zbesich
drwxr-x--- 5 zcui segev 29 Aug 6 2014 zcui
drwx------ 6 zding users 14 Apr 14 10:35 zding
drwx------ 51 zfoda users 129 May 3 14:46 zfoda
drwx------ 34 zfu users 47 May 4 13:13 zfu
drwx------ 14 zfu1 users 39 May 6 00:21 zfu1
drwx------ 10 zguo users 20 May 25 2022 zguo
drwx------ 39 zhe users 52 May 4 19:12 zhe
drwx------ 6 zhe1 users 14 Aug 9 2022 zhe1
drwx--x--x 36 zhwu biostats 54 Apr 15 22:47 zhwu
drwxr-xr-x 36 zji4 biostats 140 Apr 20 11:12 zji4
drwx------ 46 zli users 110 May 6 01:00 zli
drwx------ 6 zli1 users 13 May 3 2019 zli1
drwx------ 5 zli2 users 14 Sep 4 2020 zli2
drwx------ 12 zli3 users 19 Feb 3 01:31 zli3
drwx------ 11 zliu users 25 Sep 24 2022 zliu
drwx------ 5 zma users 12 Apr 8 2020 zma
drwx------ 7 zmahfoud coop 74 Sep 17 2009 zmahfoud
drwx------ 7 zmao users 15 Mar 27 2019 zmao
drwx------ 8 znauroz users 30 Mar 7 11:03 znauroz
drwx------ 20 zni users 41 Apr 14 09:03 zni
drwxr-x--- 17 zpackman sph140636 33 Nov 10 2016 zpackman
drwx------ 12 zpeng users 21 Aug 31 2015 zpeng
drwx------ 6 zshi jhuas 15 Dec 7 2011 zshi
drwx------ 15 zshi1 users 25 Nov 15 2019 zshi1
drwxr-x--- 7 zstolp users 15 May 12 2017 zstolp
drwxr-xr-x 60 ztan biostats 205 Sep 17 2009 ztan
drwx------ 26 ztang users 37 Mar 24 04:51 ztang
drwxr-xr-x 4 zwang biostats 11 Jul 22 2014 zwang
drwxr-x--- 28 zwang1 users 45 Oct 25 2021 zwang1
drwx------ 3 zwang2 users 9 Mar 26 2019 zwang2
drwx------ 16 zwang3 users 37 Apr 1 12:08 zwang3
drwx------ 32 zwang4 users 54 May 3 12:12 zwang4
drwx------ 16 zwong users 86 Dec 13 2016 zwong
drwxr-xr-x 69 zwu biostats 544 May 11 2015 zwu
drwx------ 3 zwu1 users 11 Nov 20 2019 zwu1
drwx------ 2 zxi mmi 4 Sep 17 2009 zxi
drwx------ 4 zxiong users 10 Jan 25 12:36 zxiong
drwx------ 14 zyu 140.688_class 29 Oct 4 2018 zyu
drwxrwxr-- 19 zyu1 users 38 Mar 17 21:57 zyu1
drwx------ 20 zzeng users 34 May 4 08:53 zzeng
drwx------ 22 zzhang users 58 Jul 25 2018 zzhang
drwx------ 7 zzhang2 users 18 May 5 14:39 zzhang2
191. beers#
use original script: 1importR.do
transform it into 01_bc050623.do
marvelous chance to introduce loops, strings, etc \(\cdots\)
192. xta#
you really messed this up; we are soulmates
this is supposed to be my family & you f-cked it up
♀ of virtue, but also hoe at right time
he does not draw any blood at all but
i’m glad he is very busy and is away mostly
because i really like my space and so his projects are prefect
193. chance#
just to think this came a week
after that crazy dream
unambiguous dream
with bazeyi (both in dream & call!)
some very messed up shit!!
05/07/2023#
194. missa#
kyrie
gloria
credo
sanctus
agnus dei
195. paulo#
nice chat
latin mass
in b’more
196. ethnicity#
clustering by
race/gender/age
segev/massie
durand/king
ammary/muzaale
discount demographics?
at your own peril!
they’re alive & well :(
in 21st century america, usa
197. katebalirwe’s#
kibanza - 1st wife, sui
mugisa, dr - 2nd wife, died
kajjumbi -
kirunji -
kunihira -
aga - 3rd wife, abooki, ca
kase -
kaba -
kajjimbi -
stillbirth - 4th wife, no child
bubu - 5th wife, aunti grace, rwanda
boy - 6th wife, school girl (cissy’s age), she left
another - 7th wife, kunihira’s age (in 40s), widowed, has 3 children, youngest in p3
198. sui generis#
children were # 1
disagree with children?
you have to walk!
199. hierarchy#
clustering
ethnicity > gender > age
henry james
get your shit late in life
say at 43
but maybe XX? feels that way
200. xinran#
install r, rstudio, latest versions
think about workdir location (e.g. ~/documents)
workdir name (e.g. ~/documents/open/)
repo name (e.g. username/science )
ultimately repo -> (~/documents/science)
already have a public https://username.github.io ?
if not, create one; if so, move on to next step
create new public repo (e.g. science)
quarto rstudio download
bookdown/sourcecode/inst/examples/install.bookdown
file > new project > new directory (e.g. ~/documents/) > quarto book > build > render > html
restart mac if any of above steps is not visible
git clone username/science
cp -r open/* science
cd science
git config user.name
git config user.email
git remote set-url origin username/science
create public/private KEYS
git add ./*
git commit -m “my first commit”
git push origin gh-pages
pip-install ghp-import
ghp-import -n -p -f _book
201. family#
xinran from a scholarly family
only child, but has cousin called lucy from hong kong
mother has a brother, xinrans uncle
the one-child policy ended in 2012
she was born in december 2000
05/08/2023#
202. rasheeda#
output by 10am
move on to students
the ds4ph hw
203. content#
.ipynb does always save
have lost lots of content
but why does this happe? how?
jupyter nbconvert --to notebook --execute bilowozo.ipynb
This will execute the notebook and save any changes you have made.
204. frustrated#
step-by-step guide to pushing a jupyter-book to gh-pages on a new windows machine with no software installed
Sure! Here is a step-by-step guide for pushing a Jupyter-Book to GitHub Pages on a new Windows machine with no software installed:
Install Git for Windows by downloading and running the Git for Windows installer from the official website: https://gitforwindows.org/
Install Miniconda by downloading the Miniconda installer from the official website: https://docs.conda.io/en/latest/miniconda.html#windows-installers
Open the Anaconda Prompt by searching for “Anaconda Prompt” in the Start Menu.
Create a new Conda environment by running the following command in the Anaconda Prompt:
conda create --name mybook python=3.8
This will create a new Conda environment named “mybook” with Python version 3.8.
Activate the Conda environment by running the following command:
conda activate mybook
Install Jupyter-Book and other required packages by running the following command:
pip install jupyter-book ghp-import
Create a new Jupyter-Book project by running the following command:
jupyter-book create mybook
This will create a new directory named “mybook” with the basic structure for a Jupyter-Book project.
Add some content to your Jupyter-Book by creating one or more Jupyter Notebooks in the “mybook” directory.
Build the Jupyter-Book to create an HTML site by running the following command:
jupyter-book build mybook
This will create an HTML site in the “_build/html” directory inside your “mybook” directory.
Create a new GitHub repository or go to an existing one where you want to push the Jupyter-Book.
Go to the Settings tab of your repository and scroll down to the GitHub Pages section. Select “Master branch” as the source and save the changes.
In the Anaconda Prompt, navigate to the directory containing your Jupyter-Book project.
Run the following command to publish the HTML site to the GitHub Pages site:
ghp-import -n -p -f _build/html
Wait a few minutes for the changes to propagate to the GitHub Pages site. You should be able to see your Jupyter-Book live on the internet at https://username.github.io/repositoryname.
That’s it! You have successfully pushed a Jupyter-Book to GitHub. Pages on a new Windows machine with no software installed.
05/09/2023#
205. usrds#
usrds_id srvc_dt gnn, 01/01/2013-12/31/2014
g antihist16=(strpos(gnn,”BROMPHENIRAMINE”)!=0)
00_exposureR.dta N=44,240,848
unique usrds_id N=561,304
11_elig.dta N=307,840
unique usrds_id 177,471
cd /dcs04/legacy-dcs01-igm/segevlab/data/usrds2015/claims/pd/pde2013
206. gh-pages#
jupyter-book git push works, but ghp-import -n -p -f _build/html gives an error. And when we got to the GitHub repo to manually activate gh-pages, we find “No results for pages build and deployment workflow run failed main branch. help!!!!!!!!!
It sounds like there might be an issue with the deployment workflow on your GitHub repository. Here are a few things you can try to resolve the issue:
Check your GitHub Actions logs: Go to the “Actions” tab in your GitHub repository. Look for the latest run of the “pages” workflow. Click on the run to view the logs. Look for any error messages or indications of what might have gone wrong. Double-check your repository settings: Make sure that the “GitHub Pages” section in your repository settings is set to use the “gh-pages” branch. Check that the correct source directory is specified (i.e., the directory where your built HTML files are located). Check your build files: Make sure that your Jupyter Book has been built successfully and that the HTML files are located in the correct directory. Check that you are running the ghp-import command from the correct directory. Try a manual deployment: You can manually deploy your built HTML files to the “gh-pages” branch by creating the branch and pushing your files to it. Here’s an example of how to do this:
git checkout --orphan gh-pages
git rm -rf .
cp -R _build/html/. .
git add .
git commit -a -m "Initial gh-pages commit"
git push origin gh-pages
If none of these steps work, you may need to seek additional help from the Jupyter Book or GitHub support communities.
207. success#
ghp-import version for pip3 on an old mac
If you have an old Mac and want to install a specific version of ghp-import for pip3, you can use the following steps:
First, make sure that you have pip3 installed. To do this, open a terminal and run the following command:
which pip3
If pip3 is installed, this command will output the path to the pip3 executable. If it is not installed, you will need to install it before proceeding.
Once you have pip3 installed, you can install a specific version of ghp-import by specifying the version number when you run the pip3 install command. For example, if you want to install version 1.0.1 of ghp-import, you can run the following command:
pip3 install ghp-import==1.0.1
This will install version 1.0.1 of ghp-import for pip3.
After installing ghp-import, you should be able to use it by running the ghp-import command in your terminal. For example, to push a directory to the gh-pages branch of a GitHub repository, you can run the following command:
ghp-import -n <directory>
This will push the contents of
I hope this helps! Let me know if you have any further questions.
Send a message.
Free Research Preview. ChatGPT may produce inaccurate information about people, places, or facts. ChatGPT May 3 Version
208. force#
mit plays
as you like it
ORLANDO. Forbear, and eat no more.
JAQUES. Why, I have eat none yet.
ORLANDO. Nor shalt not, till necessity be serv'd.
JAQUES. Of what kind should this cock come of?
DUKE SENIOR. Art thou thus bolden'd, man, by thy distress?
Or else a rude despiser of good manners,
That in civility thou seem'st so empty?
ORLANDO. You touch'd my vein at first: the thorny point
Of bare distress hath ta'en from me the show
Of smooth civility; yet arn I inland bred,
And know some nurture. But forbear, I say;
He dies that touches any of this fruit
Till I and my affairs are answered.
JAQUES. An you will not be answer'd with reason, I must die.
DUKE SENIOR. What would you have? Your gentleness shall force
More than your force move us to gentleness.
ORLANDO. I almost die for food, and let me have it.
DUKE SENIOR. Sit down and feed, and welcome to our table.
ORLANDO. Speak you so gently? Pardon me, I pray you;
I thought that all things had been savage here,
And therefore put I on the countenance
Of stern commandment. But whate'er you are
That in this desert inaccessible,
Under the shade of melancholy boughs,
Lose and neglect the creeping hours of time;
If ever you have look'd on better days,
If ever been where bells have knoll'd to church,
If ever sat at any good man's feast,
If ever from your eyelids wip'd a tear,
And know what 'tis to pity and be pitied,
Let gentleness my strong enforcement be;
In the which hope I blush, and hide my sword.
DUKE SENIOR. True is it that we have seen better days,
And have with holy bell been knoll'd to church,
And sat at good men's feasts, and wip'd our eyes
Of drops that sacred pity hath engend'red;
And therefore sit you down in gentleness,
And take upon command what help we have
That to your wanting may be minist'red.
ORLANDO. Then but forbear your food a little while,
Whiles, like a doe, I go to find my fawn,
And give it food. There is an old poor man
Who after me hath many a weary step
Limp'd in pure love; till he be first suffic'd,
Oppress'd with two weak evils, age and hunger,
I will not touch a bit.
DUKE SENIOR. Go find him out.
And we will nothing waste till you return.
ORLANDO. I thank ye; and be blest for your good comfort!
Exit
DUKE SENIOR. Thou seest we are not all alone unhappy:
This wide and universal theatre
Presents more woeful pageants than the scene
Wherein we play in.
JAQUES. All the world's a stage,
05/10/2023#
209. trainee#
more often an ai algorithm
less likely a medical student
worthier investment, looking forward
and i am faculty at a medical school!
now ain’t that some shit?
210. gospel#
inversion
walkups
211. hire#
best
proven
amiable
wouldn’t hire me
regardless:
fruitful meeting
quarterly sponsored finance meeting
angela boseman
evan wimmert
lorena molina
diana call
will cost me $70k
conditional offer: ends with my k
opt expires in 60d
can change visa status if not going to continue with studies
h1b visa (can only be supported in RDA position)
70k position
yes, can hire h1b person on a k
evans: no limitations on hours, visa for k
they have to be full-time status
diana: no limits from an hr perspective
so its only limitatoin of the budget
thats the other piece of it
other person is also on a k
would have to submit a sub-award on a K
have to get the process started
permission needed since wasn’t on k budget
uci collaboration already in the system
so may not take so long
vincent can start OPT application now
$440k so far
$153k in salary support
$8k for andrew
only caveat is position expires with k
let him send his cv
I’ve moved this from code to markdown as I debug some mess on 05/31/2023
import os
import tensorflow as tf
# Set the directory to save the model and data
directory = image_path = "/Users/d/Dropbox (Personal)/0g.κοσμογονία,γ/2.pantheon/"
# Create train, val, test folders if they don't exist
train_dir = os.path.join(directory, "train")
val_dir = os.path.join(directory, "val")
test_dir = os.path.join(directory, "test")
for folder in [train_dir, val_dir, test_dir]:
if not os.path.exists(folder):
os.makedirs(folder)
# Set up the data generators for training and validation
train_data = tf.keras.preprocessing.image.ImageDataGenerator()
train_generator = train_data.flow_from_directory(os.path.join(train_dir), target_size=(224, 224), batch_size=32, class_mode="binary", classes=['no', 'yes'])
val_data = tf.keras.preprocessing.image.ImageDataGenerator()
val_generator = val_data.flow_from_directory(val_dir, target_size=(224, 224), batch_size=32, class_mode="binary")
# Set up the model
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(16, (3,3), activation="relu", input_shape=(224,224,3)),
tf.keras.layers.MaxPooling2D(2,2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(1, activation="sigmoid")
])
model.compile(loss="binary_crossentropy", optimizer="adam", metrics=["accuracy"])
# Train the model
model.fit(train_generator, epochs=10, validation_data=val_generator)
# Save the model
model.save(os.path.join(directory, "model.h5"))
Regarding new images, if you want to train your model on more data, you can add more images to the yes and no subfolders in the train folder. Make sure the images are labeled correctly, with the correct images in the yes folder and the wrong images in the no folder.
212. meanwhile#
Can you prepare me a crash course in encoding, coding, decoding with regard to neural networks? Python environment and some code snippets. Thanks!!
Sure, here is a script that incorporates all the changes we’ve made so far. It assumes that you have two subfolders in the train folder named yes and no, with the correct and wrong images respectively, as you described earlie (after maybe 2 hours of crashing programs… & me refinning my questions to chatGPT):
213. workflow#
what a day!
sets level
for others
214. trainee001#
05/12/2023#
215. greatminds#
Think alike! Just look to my last journal entry! Of course I’m presently enrolled in Caffo’s class and he is my Thesis Committee Chair.
Welch Caffo presentation
Wednesday, May 17, 2023 from 12:10 PM to 1:10 PM
Zoom link
Brian S. Caffo, PhD, will speak in the Powe Room, 1-500Q, located at 2024 E. Monument Street, and present on “Will the Doctor of the future Be a Human or Robot? A survey of AI in Biomedical Research.”
You’re strongly encouraged to attend the final Welch Center Grand Rounds of the academic year in person. If you can’t make it to the Powe Room, a Zoom link has been created. Passcode 123412
216. success#
It’s been quite an ache
Going about trying to bake
A tasty-sweet poetry cake
For you to partake
And for all my pains
There’s hardly been any gains
Except for what here reigns:
Poetry with no brains!
Forgive me if you sleep… off
As you read these rhymes
Pardon me if you wheep… enough
For the poetry of these times:
I am but a doctor
Poet with no mentor
About to enter
Something beyond my mental
217 details#
Basic class
Advanced class
Andrew, Vincent
Donors/NHANES dipstick->uACR->30y mortality
Grant preliminary data
Version control
Workflow from .git -> vscode -> hub
Stars are aligning
Taking great risks
But with tremendous expectation
Worthy adversaries haven’t yet been identified
Petty obstacles aplenty
Hope I don’t squandor my energy on them, hedgehog-like
I’m finally finding my voice, long removed from my parent star
And the tremendous gravity it came with
Making excape velocity ever elusive
218 hack#
Class Name: Advanced Stata Programming
Sent By: Muzaale, Abimereki
This message is for the entire class.
Recipients: This message was sent to the following:
Everyone
Hi everyone,
Virtually everyone who has had a one-on-one with Jason & I has ultimately reached success and set-up a workflow from:
.git -> terminal -> hub
Now, in order to modify this workflow, to incorporate a hack whereby your Stata .html output is pushed to gh-pages:
Scroll down to the bottom of this page: https://jhustata.github.io/class700/chapter2.html
The instructions assume you are working from a folder called open
And that your cloned github repo is called science
Both folders are in the same parent directory
Your dyndoc product is called nhanes.html and it's in your open/ folder
Ultimately, you intend to hack chapter4.html (modify based on target)
Let us know if you run into any trouble!
Go to the class website
219 siri/lane#
220. coincidence#
Nietzsche & Wilde
Chopin a favorite
Fin de siècle
Died in 1900
Unshackled
Aphorisms
Humorous
Life=play
Philospher-artist, artist-philosopher
05/13/2023#
221. afecd#
Pronounced
affect
Abi
Fawaz
Encoders
Coders
Decoders
In fact, ECD.. AF!
[shaKe]speare
my +1 (###)-281-####
my gmail (recovery)
my birthday
website: https://afecd.github.io
mailing address: home
afecdlab.com $12/y (registered!!!)
muzaale@afecdlab.com $14/m for email
afecd.lab@gmail.com (backup email)
This information is required by ICANN in order to reach you in case of problems with your registration
This information is required by ICANN and will only be used for registration issues. This information is gathered from your domain registration by default. Inaccurate information can lead to the suspension or cancellation of your domain. Learn more about contact info requirements
Abimereki
Afecd lab
627 E 34TH ST APT A6 Baltimore, MD 21218
+1 240-281-3154
afecd.lab@gmail.com
Verified
222. air#
our business is change
we’re on offense. all the time.
perfect rules count - not a perfect process. break the rules: fight the law
this is as much about battle as about business
assume nothing. make sure people keep their promises. push yourselves. push others. stretch the possible.
live off the land
your job isn’t done until the jon is done
dangers:
bureaucracy
personal ambition
energy takers vs. givers
knowing our weaknesses
don’t get too many things on the platter
it won’t be pretty
if we do the right things we’ll make money. damn near automatic.
05/14/2023#
223. \(\sigma\)#
mia farrow
broadway danny rose
absolutely outstanding performance
224. markdown#
Am I only Learning about this Because I’ll be maaaddddddddd How could I have missed this all along???
Am I only
Learning about this
Because I’ll be maaaddddddddd
How could I have missed this all along???
Am I only
Learning about this
Because I’ll be maaaddddddddd
How could I have missed this all along???
<u>Am I only
Learning about this
Because I'll be maaaddddddddd</u>
How could I have missed this all along???
<u>Am I only
Learning about this
Because I'll be maaaddddddddd </u>
How could I have missed this all along???
<u>Am I only\
Learning about this\
Because I'll be maaaddddddddd\</u>
How could I have missed this all along???
225. broda#
Pastor Joseph Musajjawaza
What a great opportunity to catchup
On a long-lost brother
226. ye#
227. worthy#
isaiah thomas 14:00/23:23
magic johnson
own siblings
228. agon#
budo
ngo
rugby
beat smack
in semis
229. shallow#
with no rhyme or ...
clutch@straws.human
meaning, existential dread
230. vicking#
erling haaland
take one
first seaon in epl
231. hand#
the cards handed to me
\(\vdots\)and yet i \(\cdots\)
for a ugandan conceived in 1979
and born in 1980, a year of general elections
who matriculated in primary school in january 1986 in kampala
one could say the cards handed to me were as bad as it gets
but in fact I was conceived and born in oakland, ca
lived a very sheltered life in an academic environment: 1980-1996
yet we have learned nothing about without understanding the role of timulungi:
national drama is one thing. but family drama is a whole nother thing
it’s more personal with more destructive elements in a persons life...
232. explain#
\(R^2 = 1 - \frac{MSE}{Var(y)}\)
235. workflow#
pwd
~/dropbox/0g.κοσμογονία,γ/2.pantheon
cp python.ipynb ../3.dna.origins/training/chapter7.ipynb
nano ../3.dna.origins/training/_toc.yml
ls -l ../3.dna.origins/training/
mv ../3.dna.origins/training/python.ipynb ../3.dna.origins/training/chapter6.ipynb
cp ../3.dna.origins/training/chapter6.ipynb ../3.dna.origins/training/chapter9.ipynb
always .ipynb
never .md
except intro.html
figure out syntax for remote git commit -m “step”
otherwise i’m not able to build and push a .git
while in a completely different location!
git add book/*
git commit book/* -m "remote commit"
jupyter-book build ../note
cp -r ../note/* .
git add ./*
git commit -m "remote commit, take3"
git push
05/16/2023#
236. caffo#
Q#
Will the doctor of the future be a human or a robot?
&#
CNN competition and advancements
Significant progress in the past 5 years
Reduction in error rates
Radiologists facing new challenges
Object labeling through phone photo apps
Evolution from 2011-2016
Stable diffusion: Example of typing “Homer Simpson” in Blair Witch Project
Bilateral asymmetry and its connection to cognitive impairment and Alzheimer’s disease
OpenAI’s successful implementation of hide-and-seek gain
Comparative analysis of physician and AI chatbot responses to patient questions on a public social media forum (JAMA Int Med)
Chatbots surpass doctors in empathy
Microsoft study highlights the adaptability of language models like chatGPT, showcasing skills beyond language, such as drawing
Request for generating a dataset similar to Fisher’s iris data, with slight variations
Babak Mohagdas’ work on pygame
Brian NHANES and its integration with Common Lisp
ChatGPT prompt engineering for developers (highlighting its importance)
Transforming ChatGPT into a disciplined field
FDA approval process for AI medical devices over time, focusing on Sarthi Manchanda’s MPH capstone project
JHU ranked 5th in NIH AI funding, with U Penn and Stanford leading
Top NIH agencies: NCI, NIA, NIMH
Rama Chellapa’s recognition for five projects
Review session starting after 50 minutes
Autoencoders as a favorite topic: encoder (8) -> ? -> decoder (8) and its relevance as a compression algorithm
GANs as a split of autoencoders: discriminator () vs. generator (creating realistic data)
Concerns about disclosure risk: How effectively can GAN data mimic real data?
Advancements in understanding language models, introducing the new network structure called LLM and transformers
“Attention is all you need” by Ashish Vaswani, Noam Shazeer, Niki Parmer, Jakob Uszkoreit, Google Research
Chat GPT’s evolution and growth from previous work
Technical challenges discussed, referring to Ask Bard from Google’s ChatGPT
Noam Chomsky’s critique: “The False Promise of ChatGPT” (March 6, 2023)
Caffo’s epidemiology, DAGs, and AI language paper
Comparison of ADHD vs. Control groups: focus on dorsal medial region
Meaningful differences in means observed
Overlapping results indicate lack of predictiveness
Exploring causal inference and deep learning
$3,000,000 healthcare improvement challenge
Johns Hopkins Biostatistics ranked #5
Oku Kenji’s MPH capstone project on AI in arthritis research
BuzzFeed News utilizing ChatGPT amid financial challenges & writer strikes
Creation of a popular Spotify song in the style of Drake using algorithms
Acknowledging that algorithms are not new
Highlighting the accelerated rate of learning and the “unlimited” capacity of AI
A.I. pioneer leaving Google and expressing concerns about future dangers
Revisiting the question: Will the doctor of the future be a robot?
Human + ChatGPT synergy outweighs ChatGPT alone or human alone
ChatGPT as a tool rather than a replacement for human expertise
Exploring the concept of organoid intelligence
A.#
it will probably be a bionic doctor!
On prompting and guiding ChatGPT to improve this talk:
Title: Unraveling the Healthcare Enigma: From Epidemiological Supervision to Adaptive Learning
Introduction: Decoding the Healthcare Puzzle (5 minutes)
Begin by comparing healthcare to a complex puzzle, where each patient’s case is a unique piece that contributes to the larger picture.
Highlight the importance of epidemiology and clinical research as the guiding principles that help uncover patterns and connections within the puzzle.
Supervised Learning: The Guiding Hand of Epidemiology (10 minutes)
Use the metaphor of an experienced epidemiologist as a skilled detective who meticulously collects and analyzes data to unravel the mysteries behind diseases.
Explain how supervised learning, akin to epidemiological modeling, involves training an AI system with labeled data to make predictions and draw insights.
Highlight real-world examples where supervised learning has been successful in identifying risk factors, predicting disease outcomes, and informing evidence-based treatments.
Unsupervised Learning: Illuminating Hidden Patterns (10 minutes)
Illustrate unsupervised learning with the analogy of a curious explorer venturing into uncharted territory, looking for hidden treasures.
Explain how unsupervised learning algorithms act as the explorer, sifting through vast amounts of data without predefined labels to uncover underlying patterns and relationships.
Showcase how unsupervised learning has been utilized in healthcare to identify subgroups within patient populations, discover novel disease classifications, and detect unexpected correlations.
Adaptive Learning: The Shapeshifting Intelligence (10 minutes)
Introduce adaptive learning as the transformative force that mirrors the resilience and adaptability of human immune systems.
Compare adaptive learning algorithms to the body’s immune response, constantly learning, adapting, and refining strategies based on new information.
Discuss how adaptive learning can be applied in healthcare, such as personalizing treatment plans, optimizing clinical decision-making, and predicting patient responses over time.
Intersecting Paths: From Humans to Bionic Collaborators (5 minutes)
Emphasize the importance of collaboration between human experts and AI systems, drawing parallels to a harmonious duet between a conductor and an orchestra.
Portray AI as a powerful instrument that amplifies the capabilities of human clinicians, helping them navigate the complexities of healthcare with precision and efficiency.
Highlight the potential for bionic collaboration, where the orchestration of human expertise and AI algorithms leads to enhanced patient care and improved health outcomes.
Looking Ahead: Unveiling the Future Landscape (5 minutes)
Paint a vivid picture of the future landscape of healthcare, likening it to an evolving ecosystem teeming with diverse knowledge and technological advancements.
Discuss the emerging frontiers, such as explainable AI and federated learning, as the bridges that connect different domains within healthcare research.
Encourage the audience to embrace lifelong learning, adaptability, and interdisciplinary collaborations to shape this future landscape.
Coda: Unraveling the Enigma (5 minutes)
Reinforce the central metaphor of healthcare as an enigma, and the role of epidemiology, clinical research, and AI in unraveling its mysteries.
Summarize the key takeaways, emphasizing the potential of supervised learning, unsupervised learning, and adaptive learning to revolutionize healthcare.
Encourage the audience to embark on their own journey as investigators, explorers, and adaptive learners, contributing to the ongoing quest for better healthcare.
Q&A Session (5 minutes)
Allocate time for questions, allowing the audience to delve deeper into the concepts and metaphors discussed.
Facilitate a lively discussion that encourages the audience to share their own experiences, insights, and perspectives on the application of AI and machine learning in healthcare.
05/17/2023#
237. crazy#
times, indeed
it’s how caffo feels
and how I do too.
we do.
238. cancelled#
darn students/trainees cancelled me some two weeks ago
so i guess i can now focus on training the ai that will replace them
lets press forward in the language of python: from the traditional mode of training/learning:
supervised to
unsupervised but ultimately
adaptive learning
239. supervised#
ds4ph capstone
refine \(h_0\)
update \(h_1=h_0e^{\int_0^t X \beta}\)
\(X\): varcov matrix
\(\beta\) vector of logHRs
\(h_0\) basecase nonparametric hazard
\(h_1\) case-specific semiparametric hazard
240. unsupervised*#
why do i believe - pebbles
supervised
diatonic standard
experiences
biostats&epi
skilled fellaz
tell me how u want it - johnny gill
unsupervised
minor tonality
insights
clin research
frontiersman
movement 11’ - jon patiste
adaptive
blue notes
perspectives
artificial intelligence
immune system
241. adaptive#
A-levels#
biology
chemistry
mathematics
music
Makerere#
medicine
surgery
public health
Bloomberg#
epi & biostats
asts & atc
clinical investigation
jhustata
ds4ph
NIH#
NIAID
IDUs
HIV
HCV
NIDDK
live kidney donors
live liver donors
benzodiazepines
beers criteria
NIA
older live kidney donors
Independence#
R03
R21
R01
etc…
242. tumbleweed#
pledging allegiance to the ground
dude, thats a name no one would self-apply where i come from
a lot about the dude that didn’t make a whole lot of sense to me
or the place he lived…
stupefying
die with a smile on my face
the good lord jit me
sometimes there’s a man, i wouldn’t say a hero
what is a hero?
he’s the man for his time and place
fits right in there
thats the dude, he fits in la
and if he is a lazy man… and the dude was certainly that
sometimes there’s a man…
i lost my train of thought
243. parsimony#
- Artificial Intelligence (AI)
- Machine Learning
- Supervised Learning
- Autoencoders
- Unsupervised Learning
- Principal Component Analysis (PCA)
- Autoencoders
- Deep Learning
- Adaptive Learning
- Natural Intelligence (BI)
- Human Learning
- Expert
- Bach
- Handel
- Frontier
- Debussy
- Haydn
- Simulation
- Muddling
- Canine Learning
- Pavlov
- Nematode Learning
- [*C. elegans*](https://en.wikipedia.org/wiki/Caenorhabditis_elegans#Scientific_community)
Artificial Intelligence#
Definition: The broad field of study and development of computer systems capable of performing tasks that typically require human intelligence.
Position: AI is the overarching field that encompasses Machine Learning and other techniques.
Machine Learning#
Definition: A subset of Artificial Intelligence focused on developing algorithms and models that enable computers to learn and make predictions or decisions without explicit programming.
Key Elements: Inputs, outputs, and learning algorithms.
Supervised Learning#
Definition: A type of Machine Learning where the model is trained using labeled examples, consisting of input data and corresponding desired outputs.
Position: Supervised Learning is a subfield of Machine Learning and a foundational approach.
Unsupervised Learning#
Definition: A type of Machine Learning where the model learns from unlabeled data, finding patterns or structures without predefined output labels.
Position: Unsupervised Learning is another subfield of Machine Learning, complementary to Supervised Learning.
Autoencoders
- **Definition:** Neural network architectures used for unsupervised learning that aim to reconstruct the input data at the output layer, thereby learning a compressed representation or encoding of the input.
- **Position:** Autoencoders are a branch of Unsupervised Learning, commonly used for dimensionality reduction and feature extraction.
Principal Component Analysis (PCA)
- **Definition:** A statistical technique used for dimensionality reduction by transforming the original variables into a new set of uncorrelated variables called principal components.
- **Position:** PCA is a dimensionality reduction technique employed in both Supervised and Unsupervised Learning to simplify data representation and capture the most important information.
Deep Learning#
Definition: A specialized branch of Machine Learning that utilizes artificial neural networks with multiple layers to extract high-level representations from complex data.
Position: Deep Learning is a subfield within Machine Learning, focusing on complex neural networks.
Adaptive Learning#
Definition: A form of Machine Learning where the model can continuously update and adjust its learning based on feedback from the environment or new data.
Position: Adaptive Learning is a direction within Machine Learning, building upon Supervised Learning and incorporating the ability to adapt and improve over time.
244. dimensionality#
reduced = meaningful
ultimately -> god
or toe for some
245. exhaust#
like all people who try to exhaust a subject, he exhausted his listeners
the picture of dorian gray
oscar wilde
246. reappraise#
Relevance: Are you identifying the most important and relevant aspects of the hot-new topics? Are you capturing the key ideas and trends that are shaping the discussions and understanding of these topics?
Clarity: Are you effectively communicating and explaining the concepts and ideas related to the hot-new topics? Are you presenting the information in a clear and understandable way, avoiding unnecessary jargon or complexity?
Depth: Are you providing sufficient depth and insights into the hot-new topics? Are you able to delve into the nuances and underlying principles that contribute to a comprehensive understanding of these topics?
Engagement: Are you capturing the interest and engagement of your audience when discussing the hot-new topics? Are you presenting the information in a compelling and thought-provoking manner?
Feedback: Consider seeking feedback from others who are knowledgeable or interested in the hot-new topics. Their input can help you gauge the effectiveness of your approach and identify areas for improvement.
247. zadie#
annuŋŋamya
jon batiste (feat. zadie smith)
05/18/2023#
248. posters#
mine
others
05/19/2023#
249. milestone#
ds4ph i&ii transpose yours truly into the pantheon
met all requirements for gtpci phd
with the exception of thesis
taught break-through classes
340.600
340.700
hired vincent
afecdv immediately
250. fetters#
diatonic (traditional) +++
minor ++
blue notes +
self-imposed fetters
well-tempered chromatic scale
homo sapiens’ greatest artistic achievement
251. drawblood#
toe the line + professional -> country
misbehave ++ explorer -> r&b
challenge, aesthetically +++ adaptive -> jazz
05/20/2023#
253. programs#
jhustata
2nd decade
start, thru, finish
programs, programs, programs
each week introduce kinds of content
quietly
&noisily
commandsdisplay
commandmacro strings: `” heard of “for the love of the game” clause “’
creturn list, ereturn list, return list
scrape existing Stata programs for ideas (e.g.
stcox
)
254. todoby#
atc
san diego
tijuana
barcelona
registration
edassist
dos training
05/21/2023#
255. yuval#
ai has hacked the os of human civilization
storytelling computers are responsible
never underestimate the power of narrative!
256. activity#
finder
go
utilities
activity monitor
all processes
process name
% cpu
cpu time
threads
idle wake ups
% gpu
gpu time
pid
user
257. agave#
mezcal
el buho
bozal
esoadin
mexicano
barrril
derumbes
Charcas, San Luis Potosi, Mx
Santiago Matatlán, Oaxaca, Mx
Nombre de Dios, Durango, Mx
pechuga
tequila
blanco
resposado
añejo
raicilla
sotol
258. mezcal#
para todo mal
mezcal; y
para todo bien
también; y
si no hay
remedio,
litro y
medio
259. if c(os) == human" {
#
object -> meaning -> senses
encoder -> divinity -> afferents
code -> scripture -> neuronetwork
decoder -> prophets -> metaphysics
restore -> action -> war
Show code cell source
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import sklearn as skl
#plt.figure(figsize=[2, 2])
G = nx.DiGraph()
G.add_node("Object ", pos = (0, 5) )
G.add_node("Hormone", pos = (1, 5) )
G.add_node("Diet", pos = (2, 5) )
G.add_node("Muscle", pos = (3, 5) )
G.add_node("Senses", pos = (4, 5) )
G.add_node("Blocker", pos = (5, 5) )
G.add_node("Agonist", pos = (6, 5) )
G.add_node("Meaning", pos = (7, 5) )
G.add_node("Encoder", pos = (1.4, 4) )
G.add_node("Efferent", pos = (2.8, 4) )
G.add_node("Afferents", pos = (4.2, 4) )
G.add_node("Divinity", pos = (5.6, 4) )
G.add_node("Code", pos = (2.1, 3) )
G.add_node("Scripture", pos = (4.9, 3) )
G.add_node("Decoder", pos = (1.4, 2) )
G.add_node("Meta", pos = (2.8, 2) )
G.add_node("Physics", pos = (4.2, 2) )
G.add_node("Prophets", pos = (5.6, 2) )
G.add_node("Restore", pos = (0, 1) )
G.add_node("Stress", pos = (1, 1) )
G.add_node("Cause", pos = (2, 1) )
G.add_node("Battle", pos = (3, 1) )
G.add_node("War", pos = (4, 1) )
G.add_node("Rank", pos = (5, 1) )
G.add_node("Discord", pos = (6, 1) )
G.add_node("Action", pos = (7, 1) )
G.add_edges_from([ ("Object ", "Encoder"), ("Object ", "Efferent"), ("Object ", "Afferents"), ("Object ", "Divinity")])
G.add_edges_from([ ("Hormone", "Encoder"), ("Hormone", "Efferent"), ("Hormone", "Afferents"), ("Hormone", "Divinity")])
G.add_edges_from([ ("Diet", "Encoder"), ("Diet", "Efferent"), ("Diet", "Afferents"), ("Diet", "Divinity")])
G.add_edges_from([ ("Muscle", "Encoder"), ("Muscle", "Efferent"), ("Muscle", "Afferents"), ("Muscle", "Divinity")])
G.add_edges_from([ ("Senses", "Encoder"), ("Senses", "Efferent"), ("Senses", "Afferents"), ("Senses", "Divinity")])
G.add_edges_from([ ("Blocker", "Encoder"), ("Blocker", "Efferent"), ("Blocker", "Afferents"), ("Blocker", "Divinity")])
G.add_edges_from([ ("Agonist", "Encoder"), ("Agonist", "Efferent"), ("Agonist", "Afferents"), ("Agonist", "Divinity")])
G.add_edges_from([ ("Meaning", "Encoder"), ("Meaning", "Efferent"), ("Meaning", "Afferents"), ("Meaning", "Divinity")])
G.add_edges_from([ ("Encoder", "Code"), ("Encoder", "Scripture")])
G.add_edges_from([ ("Efferent", "Code"), ("Efferent", "Scripture")])
G.add_edges_from([ ("Afferents", "Code"), ("Afferents", "Scripture")])
G.add_edges_from([ ("Divinity", "Code"), ("Divinity", "Scripture")])
G.add_edges_from([ ("Code", "Decoder"), ("Code", "Meta"), ("Code", "Physics"), ("Code", "Prophets")])
G.add_edges_from([ ("Scripture", "Decoder"), ("Scripture", "Meta"), ("Scripture", "Physics"), ("Scripture", "Prophets")])
G.add_edges_from([ ("Decoder", "Restore"), ("Decoder", "Stress"), ("Decoder", "Cause"), ("Decoder", "Battle")])
G.add_edges_from([ ("Decoder", "War"), ("Decoder", "Rank"), ("Decoder", "Discord"), ("Decoder", "Action")])
G.add_edges_from([ ("Meta", "Restore"), ("Meta", "Stress"), ("Meta", "Cause"), ("Meta", "Battle")])
G.add_edges_from([ ("Meta", "War"), ("Meta", "Rank"), ("Meta", "Discord"), ("Meta", "Action")])
G.add_edges_from([ ("Physics", "Restore"), ("Physics", "Stress"), ("Physics", "Cause"), ("Physics", "Battle")])
G.add_edges_from([ ("Physics", "War"), ("Physics", "Rank"), ("Physics", "Discord"), ("Physics", "Action")])
G.add_edges_from([ ("Prophets", "Restore"), ("Prophets", "Stress"), ("Prophets", "Cause"), ("Prophets", "Battle")])
G.add_edges_from([ ("Prophets", "War"), ("Prophets", "Rank"), ("Prophets", "Discord"), ("Prophets", "Action")])
#G.add_edges_from([("H11", "H21"), ("H11", "H22"), ("H12", "H21"), ("H12", "H22")])
#G.add_edges_from([("H21", "Y"), ("H22", "Y")])
nx.draw(G,
nx.get_node_attributes(G, 'pos'),
with_labels=True,
font_weight='bold',
node_size = 3000,
node_color = "lightblue",
linewidths = 3)
ax= plt.gca()
ax.collections[0].set_edgecolor("#000000")
ax.set_xlim([-.5, 7.5])
ax.set_ylim([.5, 5.5])
plt.show()
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import networkx as nx
2 import matplotlib.pyplot as plt
3 import numpy as np
ModuleNotFoundError: No module named 'networkx'
260. bach#
goethe’s magnificent phrase
as if “we were present at god’s creation of the world”
we feel that something great is in the making
but not yet made – our mighty modern music:
conquered nationalities, the church, fugue, and the world
stripped-down dimentionality to the essence
261. perks#
reduced dimentionality
increased linearity
less unsure, mortal
more action, composition
even freestyling
262. mass#
kyrie
gloria
credo
sanctus
agnus dei
263. peccata#
restore
stress
cause
battle
war
rank
discord
action
Agnus Dei, qui tollis peccata mundi, miserere nobis.
Agnus Dei, qui tollis peccata mundi, miserere nobis.
Agnus Dei, qui tollis peccata mundi, dona nobis pacem.
264. tequilla#
tequila — from Monarca (powerful metaphor for the three heirs)
silver
rested
aged
blanco
reposado
añejo
each one with its flaws and virtues:
1.silver tequila is young. Some find it immature, while others find it pure.
2.the aging process has distanced rested tequila from its source, but deep down it retains its essence
3.the wait has been long for aged tequila, but it has developed its own identity. Some claim that so many years spent in the barrel have made it impure, far from the agave from which it was born.
but which one is best? All three are excellent. My compliments to the master tequilier.
- dhatemwa Kulala
- waverly village
- baltimore, MD 21218
- june 21, 2020 at 7:42 PM
265. hand#
tameth
whinneth
hideth
playing the card life hands you.
such a beautiful approach to life:
never to be that whinner!
266. serendipity#
nia grant
ds4ph i & ii
and now this:
Today at 3:30pm
Good morning,
Join us today at 3:30pm for our Center on Aging & Health Scientific Seminar with our featured speaker, Dr. Milo Alan Puhan, Chair of the Epidemiology and Public Health department and Director of the Epidemiology, Biostatistics and Prevention Institute at the University of Zurich. Dr. Puhan’s presentation is entitled “From single disease reductionist research to informed Machine Learning for research on multimorbidity” A major focus of Dr. Puhan’s research is on modeling the balance of benefits and harms of preventive or therapeutic interventions with persons living with multiple chronic diseases. We encourage you to join us in person. You may also attend via Zoom by registering at this link https://bit.ly/3oDaomf
267. zeitgeist#
05/22/2023#
268. sas#
its time to buy it
chat gpt will guide
just don’t spread thin!
269. angie#
send email to say I do have 100% support (shouldn’t be a problem)
just me, angie, and fz
to push this forward… while we are working a subcontract with UCI.
can we move on with this 100?
we can reallocate the funds once UCI comes thru
lets wait for fz; cue before sending this email
re: vincent jin - resume
270. coincidence?#
en español
añejo
old
alejo
away
yoruba
alejo
guest
271. azure#
trial
assess…
272. illusion#
yours truly
my preference for km is mortality rather than survival
kills the white space and zooms in to data
response
i prefer to emphasize survival
and to show that the curves are similar
273. microsoft#
speakers
satyla nadella
greg brockman
amanda silver
scott guthrie
kevin scott
revise calendar
must attend
via github
274. zeitgeist#
dark#
god
man
ai
.
bright#
openai
microsoft
build
leverage
befirst
inhopkinsmedicine
withcaffo
grants
nih/microsoft
275. blood#
spielberg
spillblood
drawblood
275. neuronetworks#
human civilization
yuval noah
linear story
hiden gems in above
e.g.,
i
in vivaldi
276. mgb#
md phd candidate
phd under whiting
oustanding student
but georgetown!
that mph has a legacy
its clear 2me that hopkins is infinitely…
superior, better conditioning
277. autoencoder#
check this out
but you, hellen (of troy??)
it’s alright, its not that kind of kiss!
278. industry#
intern: s1e1 21:25/51:37
if you think the house is burning down, this is how you monetize it!
client:
i don't think you're a sales woman: sales people sell certainty
yourstruly:
they sell one code (mean), neglecting the second (deviation) and so when you decode your business practice your projections will clash with reality in a "loss" function
05/23/2023#
279. humanity#
ancient festivals are encoders
champions codify essence, strip away chaff
heroes & villains decode in the dailygrind of life
280. panathenaic#
hormone-driven
lif\(e^{adls}\), efferents
competitions, prize-giving
autoencoders of the human
os
if c(os) == "human" {
#
athens 566 BC - 300 AD
competitions & prize-giving
religious
sacrifices to athena
poseidon
others
athletic
cultural
rhapsodic recitation of homeric poetry
pindar
hesiod
stadium
281. dionysia#
meaning
divinity, afferents
festival, theater 🎭
encoders of the human
os
if c(os) == "human" {
282. chaff#
emotions
navel-gazing
specificity
283. remix#
data
\(\mu, \sigma\)
simulation
289. educ#
fledgling
learning
unsupervised, \(x\)
supervised, \(y\)
adaptive, \(z | x_1, x_2, \cdots, x_n\)
inferences
290. parameters#
data
\(\mu, \sigma\)
olympics: \(\sigma\)
dionysia: \(\mu\)
hierarchy: \(\sigma > \mu\)
.real
deep
fake?
291. modernity#
european “enlightement”
notion of equality
projected into 21st century
292. build#
for developers (ie content creators)
business solutions (eg teaching stata)
accelerated growth ever
since chatGPT changed the world a few months ago
you will remember this time!!!
it is a fundamental shift
mainframe
pc
internet
cloud
ai
exciting time to be a developer (everyone is a developer)
of course even though you’ve never written a line of code
you can use natural language now to get code!!
most amazing time for creativity
unprecedented speed
11:30am
ontime
take1
era of ai is now!
now is the time to build what’s next
next generation of solutions
largest developer conference on the planet
amplifying what every person is able to do
microsoft build up to satya
293 session#
keynote plenary
satya
breakout sessions
294. buildup#
11:57am
imagine cup world champion
agon!! olympics!!! student conpetitions
tawi, cs-m tool, eupnea
crowned: team
tawi
from kenyabuild about to begin
ex-i-a (british pronunciation of excited) ‘bout ai
295. satya#
12:10am
a little late
promptly 10min late
first in-person conference
post-covid, absolutely interesting
what this
dream machine
is all aboutcommunicates what we’ve been doing over 70 years
associated memory
pursuit of the dream machine
one continuous journey
jobs' description
of computers as bicycles for the mindbut last nov we got an upgrade
we went from bicycle to steam engine last november with chatGPT
codespaces in seconds vs minutes
microsoft dev box in hours
github copilot, actions
close to dream of doing everything in
vs code
joy of programming, and flow of programming
how we build software is radically different
what
we build is the focus of thisfeels like we now do press-releases every week
highlight 5 announcements
bringing bing to chatGPT+
copilot to windows (every user a poweruser of windows), stack
plugins
are libraries in bing/chatGPTcan edit legal documents appropriate to locale
microsoft fabric
of course all ai starts with data
unifying data analytics
stored in one sas datalink for organization
looks like sas is making a comeback
goddam the old school
unified governance
setting up automations based on triggers
why do we build technology?
pursuit of gdp growth!
human developmenet index growth
its not for technologies sake
to me it all came together in jan
visiting india
tech now reaches everybody
cab make diff. to 8 billion people
in days/weeks, not years/centuries
equitable growth
trust, fundamental rights we care about
finite resources on planet
empower every person & organization
video by satya nadela
wheat farmer
penetration of traditional media limited
several languages in india
linguistic & technological divide
speech recognition models + openai
transcribe, translate language, transform into speech
even the illeterate will be just fine
chatGPT was the catalyst that captured the diversity of india
able to do this for india? able to do it for the world
diffusion of the technology is happening unbelieavably fast
printing press
steam engines
telegraph
electrification
mass steal production
mass production and assembly lines
internal combustion engine
flight
synthetic fertilizer
information revolution
ai
296. bing#
rollover safari
you’ve been served a notice
its time to move on
297. kevin#
wrote first program at 11yo in the 80s
the era of teh ai copilot
some of those technological themes driving progress
microsoft + openai (setting the pace of innovation; how much of the zeitgeist is being captured has surprised us)
have end-to-end platform
worlds best AI dev infrastructure
most powerful supercomputers
the worlds most capable foundation models (openai)
azure is the cloud for ai
windows best client for ai development
span the edge all the way to the cloud
idea of copilot
mmodern ai to help you with cognitive tasks
298. greg#
webGPT: payed people to use it
chatGPT: free to the world
generalized idea of conversation
technology not meant for chat wanted to chat
apparently that was a turning point
so gpt4 powers some of chatGPT
labor of love
gpt3 was not easy to surpass
just like building a rocket (lots of tiny details)
i love
plugins
website
api
conceptually
whats exciting
tiktok cycle
pushing gpt4
90% cost-reduction this year
one more thing:
technology getting better (obvious)
go into specific domains (notsomuch)
legal, medical, education, etc.
openai & microsoft not sure how
huge value there in making ai great!
my leadership in clinical research
end of greg
back to scott
resusable, generalizable
extermely expensive foundational models
copilot
+plugins
don’t wait for us to build
build your app ontop of this tech (base platform)
plugins -> copilot -> digital world (fan out) + user experience (delight users, see what works, iterate, make better) + ai safety + great product + the model is not product (its infrastructure) + copilot stack: + big bucket of unrestraint potential + so
keep the model on task
+ isn’t this like artistic constraints? + more balance vs. more precise (bing) + probably same infrastructure for ethics + grounding + embed results + retrive from + vector database + fine-tune gpt4 + bring your own open-source model + unless you are appletime to do
legendary shit
, bigly!
299. scott#
ai to profoundly affect how we work, organizations run, apps operate
different layers in building solutions taking advantage of large ai apps
going to show a lot of code in vs code, github, all widest used in the world!
literally the home of opensource, github. can be used to collaborate, automate, and give ai solutions
use it to transform your businesses:
github copilot
(first product of openai collabo)dramatically accelerates your productivity
github copilot in action
welcome
thomas dohmke
, github ceosoftware has dominated
now its ai’s turn
a new age where
natural language
overtakespython code
with github copiliot i can make remarkable changes to python and additional context
copilot chat sits in
vs code
!!!i’ve installed github pilot extension in my vscode
looks familiar & has chat
natural language has arrived
so you needn’t be a programmer to flow!
boiler-plate code i don’t want to do
developers
46% of new code is now written by ai
75% of developers feel more focused on satisfying work
96% of developers are faster with repetitive tasks
codespaces free up
plugins
basic .py code
i’m pretty new to python
don't have to install dependencies
modified plugins in chatGPT
plugins store
tailormade chatGPT+ performance
chatGPT fasted growing consumer product in human of web
azure to set up
github deployment in github actions
azd auth login --check-status
azd init --template openai-plugin-fastapi --branch template
azure openai
foundational model (generalizability)leverage them for your purposes, with your data (specificity)
privacy, security, trust with azure ai: ai you can trust
not enriching other ai models using your data
developers can unlock experiences to delight customers
300. trends#
lookfor satya’s figure
pursuit of gdp growth
technological revolutions
try to find it
301. grounding#
data grounding
your data
ai model specific to your apps & organizations
prompt flow in asure ai
q (user)
encode
code
decode
a (inference)
bayesian
start off with base ai models (e.g. gpt)
then train with your data
your apps based on posteriori
prompt
structured
unstructured
flow
model
302. safety#
can’t be an afterthought
should be in design
from the
beginning!!!
303. responsible#
responsible ai with azure
sarah bird
deep understanding of text, image
automatically detect undesirable content
304. api#
application programming interface
term used repeatedly
looked up on wikipedia
still don’t get it
305. azure#
openai training on it
largest in the world
ain’t taht some shit
data center in dublin
with that power coming..
responsiblity: renewable energy
commitment to that
306. joy#
scott guthrie finished at 2:20pm
excited to see how things fit together across planery talks
you outside microsoft can leverage too
already working in github, etc.
looks like i already have an azure account
johns hopkins (live johnshopkins)
start tour (later)
creativity
help developers get back
the ease of coding
writing code in the cloud
setting up work stations
protect them
developer job
bring into workflow
getting iup to speed
building boiler point code
then sui generis code by you
leslie richardson
github copilot
code fixes
ask question in natural language
visual studio teams up
foreach code-block ->
code completion
if
block
rollover, stackoverflow
visual studio + copilot
within a microsoft devBox
setting it up is frustrating
cloudbased env make it easier
including github codespace
teams > microsoft dev box > project-basis
onboarding new developers in minutes, not days
gitOps
reliable
consistent
auditable
virtual studio vs. vs code?
307. app#
making every app intelligent
automatically loads data
boilerpoint analysis
updates database
integrate into your intelligent ecosystem
isidor nikolic
nice demo of natural language -> copilot -> python
register plugin at chatGPT
chatGPT verifies manifest
then deploy!
308. content#
topic you’re passionate about: makes you excited, not dreading
get to know your audience
make sure your tools make recording, captioning, going live, easy
309. arun#
azure boss
microsoft fabric
arun ulag
data -> fabric -> intelligence
copilot integration
think:
printing press = data
models: base + plugin
bi + ai = speed
sas database
310. http://aka.ms/java-azure#
this is a big deal
explore it
make it your home
311. llm#
natural language processing
artificial neural networks
generate text & source code
can generate outraight fabrications
with fictitious references to book
this is emblematic of hoaxes
is equivalent of original research
looks like wikipedia is bothered by it
ml/machine
dl/deep
ai
312. avemaria#
ascerticism
two religions
hostile territory
drama & comedy ensues
from the clashes with reason
05/24/2023#
313. parameters#
data
collect
experientially
passively
actively
deliberately
by design
operations
rivals
clients
fellow man
inanimate enviornment
unlimited dimentionality
chaos
uncertainty
insecurity
\(\mu, \sigma\)
dimentionality reduction
\(\mu\)
uniformity
intoxication
shared narratives
cultural references
tribe, ethnicity, religion
homer, torah, bible, etc
\(\sigma\)
environmental exhigencies
hormonal levels
rituals
training
biological variation
age
diet
communication
transportation
sharing
knowledge=power
algorithms
improve
workflow
operations
client experience
edge against rivals
simulation
fit original data
prediction
open to fraud, counterfeiting
responsibility
rigor
esau
sophistication
314. unitedivided#
Show code cell source
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import sklearn as skl
#plt.figure(figsize=[2, 2])
G = nx.DiGraph()
G.add_node("Object ", pos = (0, 5) )
G.add_node("Hormone", pos = (1, 5) )
G.add_node("Diet", pos = (2, 5) )
G.add_node("Muscle", pos = (3, 5) )
G.add_node("Senses", pos = (4, 5) )
G.add_node("Blocker", pos = (5, 5) )
G.add_node("Agonist", pos = (6, 5) )
G.add_node("Meaning", pos = (7, 5) )
G.add_node("Genes", pos = (1.4, 4) )
G.add_node("Ritual", pos = (2.8, 4) )
G.add_node("Frenzy", pos = (4.2, 4) )
G.add_node("Story", pos = (5.6, 4) )
G.add_node("Divide", pos = (2.1, 3) )
G.add_node("Unite", pos = (4.9, 3) )
G.add_node("mRNA", pos = (1.4, 2) )
G.add_node("Meta", pos = (2.8, 2) )
G.add_node("Physics", pos = (4.2, 2) )
G.add_node("Dopamine", pos = (5.6, 2) )
G.add_node("Restore", pos = (0, 1) )
G.add_node("Stress", pos = (1, 1) )
G.add_node("Cause", pos = (2, 1) )
G.add_node("Battle", pos = (3, 1) )
G.add_node("War", pos = (4, 1) )
G.add_node("Rank", pos = (5, 1) )
G.add_node("Discord", pos = (6, 1) )
G.add_node("Action", pos = (7, 1) )
G.add_edges_from([ ("Object ", "Genes"), ("Object ", "Ritual"), ("Object ", "Frenzy"), ("Object ", "Story")])
G.add_edges_from([ ("Hormone", "Genes"), ("Hormone", "Ritual"), ("Hormone", "Frenzy"), ("Hormone", "Story")])
G.add_edges_from([ ("Diet", "Genes"), ("Diet", "Ritual"), ("Diet", "Frenzy"), ("Diet", "Story")])
G.add_edges_from([ ("Muscle", "Genes"), ("Muscle", "Ritual"), ("Muscle", "Frenzy"), ("Muscle", "Story")])
G.add_edges_from([ ("Senses", "Genes"), ("Senses", "Ritual"), ("Senses", "Frenzy"), ("Senses", "Story")])
G.add_edges_from([ ("Blocker", "Genes"), ("Blocker", "Ritual"), ("Blocker", "Frenzy"), ("Blocker", "Story")])
G.add_edges_from([ ("Agonist", "Genes"), ("Agonist", "Ritual"), ("Agonist", "Frenzy"), ("Agonist", "Story")])
G.add_edges_from([ ("Meaning", "Genes"), ("Meaning", "Ritual"), ("Meaning", "Frenzy"), ("Meaning", "Story")])
G.add_edges_from([ ("Genes", "Divide"), ("Genes", "Unite")])
G.add_edges_from([ ("Ritual", "Divide"), ("Ritual", "Unite")])
G.add_edges_from([ ("Frenzy", "Divide"), ("Frenzy", "Unite")])
G.add_edges_from([ ("Story", "Divide"), ("Story", "Unite")])
G.add_edges_from([ ("Divide", "mRNA"), ("Divide", "Meta"), ("Divide", "Physics"), ("Divide", "Dopamine")])
G.add_edges_from([ ("Unite", "mRNA"), ("Unite", "Meta"), ("Unite", "Physics"), ("Unite", "Dopamine")])
G.add_edges_from([ ("mRNA", "Restore"), ("mRNA", "Stress"), ("mRNA", "Cause"), ("mRNA", "Battle")])
G.add_edges_from([ ("mRNA", "War"), ("mRNA", "Rank"), ("mRNA", "Discord"), ("mRNA", "Action")])
G.add_edges_from([ ("Meta", "Restore"), ("Meta", "Stress"), ("Meta", "Cause"), ("Meta", "Battle")])
G.add_edges_from([ ("Meta", "War"), ("Meta", "Rank"), ("Meta", "Discord"), ("Meta", "Action")])
G.add_edges_from([ ("Physics", "Restore"), ("Physics", "Stress"), ("Physics", "Cause"), ("Physics", "Battle")])
G.add_edges_from([ ("Physics", "War"), ("Physics", "Rank"), ("Physics", "Discord"), ("Physics", "Action")])
G.add_edges_from([ ("Dopamine", "Restore"), ("Dopamine", "Stress"), ("Dopamine", "Cause"), ("Dopamine", "Battle")])
G.add_edges_from([ ("Dopamine", "War"), ("Dopamine", "Rank"), ("Dopamine", "Discord"), ("Dopamine", "Action")])
#G.add_edges_from([("H11", "H21"), ("H11", "H22"), ("H12", "H21"), ("H12", "H22")])
#G.add_edges_from([("H21", "Y"), ("H22", "Y")])
nx.draw(G,
nx.get_node_attributes(G, 'pos'),
with_labels=True,
font_weight='bold',
node_size = 3000,
node_color = "lightblue",
linewidths = 3)
ax= plt.gca()
ax.collections[0].set_edgecolor("#000000")
ax.set_xlim([-.5, 7.5])
ax.set_ylim([.5, 5.5])
plt.show()
biology divides us
psychology unites us
taken together: drama!
shalon aleichem
aleichem shalom
mostly ashkenazi
.as-salamu alaykum
wa ‘alaykumu s-salaam
peace be upon you
315. hippies#
Show code cell source
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import sklearn as skl
#plt.figure(figsize=[2, 2])
G = nx.DiGraph()
G.add_node("Object ", pos = (0, 5) )
G.add_node("Hormone", pos = (1, 5) )
G.add_node("Diet", pos = (2, 5) )
G.add_node("Muscle", pos = (3, 5) )
G.add_node("Senses", pos = (4, 5) )
G.add_node("Blocker", pos = (5, 5) )
G.add_node("Agonist", pos = (6, 5) )
G.add_node("Meaning", pos = (7, 5) )
G.add_node("Genes", pos = (1.4, 4) )
G.add_node("Sports", pos = (2.8, 4) )
G.add_node("Frenzy", pos = (4.2, 4) )
G.add_node("Gossip", pos = (5.6, 4) )
G.add_node("Noble", pos = (2.1, 3) )
G.add_node("Hippie", pos = (4.9, 3) )
G.add_node("RNA", pos = (1.4, 2) )
G.add_node("Meta", pos = (2.8, 2) )
G.add_node("Physics", pos = (4.2, 2) )
G.add_node("Dopamine", pos = (5.6, 2) )
G.add_node("Restore", pos = (0, 1) )
G.add_node("Stress", pos = (1, 1) )
G.add_node("Cause", pos = (2, 1) )
G.add_node("Battle", pos = (3, 1) )
G.add_node("War", pos = (4, 1) )
G.add_node("Rank", pos = (5, 1) )
G.add_node("Discord", pos = (6, 1) )
G.add_node("Action", pos = (7, 1) )
G.add_edges_from([ ("Object ", "Genes"), ("Object ", "Sports"), ("Object ", "Frenzy"), ("Object ", "Gossip")])
G.add_edges_from([ ("Hormone", "Genes"), ("Hormone", "Sports"), ("Hormone", "Frenzy"), ("Hormone", "Gossip")])
G.add_edges_from([ ("Diet", "Genes"), ("Diet", "Sports"), ("Diet", "Frenzy"), ("Diet", "Gossip")])
G.add_edges_from([ ("Muscle", "Genes"), ("Muscle", "Sports"), ("Muscle", "Frenzy"), ("Muscle", "Gossip")])
G.add_edges_from([ ("Senses", "Genes"), ("Senses", "Sports"), ("Senses", "Frenzy"), ("Senses", "Gossip")])
G.add_edges_from([ ("Blocker", "Genes"), ("Blocker", "Sports"), ("Blocker", "Frenzy"), ("Blocker", "Gossip")])
G.add_edges_from([ ("Agonist", "Genes"), ("Agonist", "Sports"), ("Agonist", "Frenzy"), ("Agonist", "Gossip")])
G.add_edges_from([ ("Meaning", "Genes"), ("Meaning", "Sports"), ("Meaning", "Frenzy"), ("Meaning", "Gossip")])
G.add_edges_from([ ("Genes", "Noble"), ("Genes", "Hippie")])
G.add_edges_from([ ("Sports", "Noble"), ("Sports", "Hippie")])
G.add_edges_from([ ("Frenzy", "Noble"), ("Frenzy", "Hippie")])
G.add_edges_from([ ("Gossip", "Noble"), ("Gossip", "Hippie")])
G.add_edges_from([ ("Noble", "RNA"), ("Noble", "Meta"), ("Noble", "Physics"), ("Noble", "Dopamine")])
G.add_edges_from([ ("Hippie", "RNA"), ("Hippie", "Meta"), ("Hippie", "Physics"), ("Hippie", "Dopamine")])
G.add_edges_from([ ("RNA", "Restore"), ("RNA", "Stress"), ("RNA", "Cause"), ("RNA", "Battle")])
G.add_edges_from([ ("RNA", "War"), ("RNA", "Rank"), ("RNA", "Discord"), ("RNA", "Action")])
G.add_edges_from([ ("Meta", "Restore"), ("Meta", "Stress"), ("Meta", "Cause"), ("Meta", "Battle")])
G.add_edges_from([ ("Meta", "War"), ("Meta", "Rank"), ("Meta", "Discord"), ("Meta", "Action")])
G.add_edges_from([ ("Physics", "Restore"), ("Physics", "Stress"), ("Physics", "Cause"), ("Physics", "Battle")])
G.add_edges_from([ ("Physics", "War"), ("Physics", "Rank"), ("Physics", "Discord"), ("Physics", "Action")])
G.add_edges_from([ ("Dopamine", "Restore"), ("Dopamine", "Stress"), ("Dopamine", "Cause"), ("Dopamine", "Battle")])
G.add_edges_from([ ("Dopamine", "War"), ("Dopamine", "Rank"), ("Dopamine", "Discord"), ("Dopamine", "Action")])
#G.add_edges_from([("H11", "H21"), ("H11", "H22"), ("H12", "H21"), ("H12", "H22")])
#G.add_edges_from([("H21", "Y"), ("H22", "Y")])
nx.draw(G,
nx.get_node_attributes(G, 'pos'),
with_labels=True,
font_weight='bold',
node_size = 3000,
node_color = "lightblue",
linewidths = 3)
ax= plt.gca()
ax.collections[0].set_edgecolor("#000000")
ax.set_xlim([-.5, 7.5])
ax.set_ylim([.5, 5.5])
plt.show()
easy to see where music fits
and where athletics is natural
pacificism as well as commerce
316. wolkenbruch#
should i come with you (to synagogue)?
i don’t know if that’s a good idea …
i’m happy to do this for you. really
.yes … i’d like that
is there anything i need to know? rules of behavior?
do you happen to have a jewish grandmother?
317. hierarchy#
noble 🤺 vs. hippie 🧠
ancient vs. modern
realistic vs. idealistic
318. asceticism#
deep architecture: type-ii
voluntary abstention
from physical (i.e. sensory)
.goods that are central
to well-being of mankind
philosophical, religious reasons
319. effects#
less physical (i.e., motor)
same as effects of being
stoned
the unexpected hippie-priest link
.but they’re both well-known pacifists
hence bob marley may sound like a gospel artist:
one love, one heart, let’s get together and feel all right
320. world#
321. nobility#
deep architecture: type-i
an issue of diet:
simplest mode of living
uninterrupted sojourns in open air
continual hardships
322. todoby0526#
cltx
alisson baya
rec clearance
july
school
ayesha khan
ning meng (comps on june 2; send email after)
monica jia (book for 1pm on Th may 25)
jing tiang
dhhs invoice
restricted data in dictionary section
send revised version (for ease of data representative)
thomas morgan
summer institute
intro to chatGPT
angie
conflict of interest training - surgery
not done so in 4y
idrisa saad
may 25 at 10:30am
monica (swim)
may 25 at 12pm
xujun gu
may 25 at 2pm
-
action needed
complete documentation
for application 10769501
jianqiao ma
lor
jhu ref
darien reschedule
th early evening
joe agostino
discouraging email
andrew arking
may 25 th 4pm
gabriella cipolli
summer inst
amy chang
no longer enthusiastic
do it myself
the rich documentation of hx
asma rayani
respond
after reviewing all 3 hws
evan
response to angie email
?
myzoom
paulo
midnight th
timo fri
abe fri
willo sat
sunday mass
then mark?
dc?
amtrak mon 6am
atc
annual fee
registration
flights
tijuana details
barcelona
registration
travel
hotel
build r03/r21 teams
affect r01 elig?
form teams
decide on topics
donation
aging
ai
hygiene
june 7
md drivers license renewal
calvin
explore micky ai topic for grant
chatGPT pluggin to decide on organ offers
joshua: 05/20/2023 month since first depo
-
no invoice for may
maybe due may 23?
call to update card
castelldefels
barcelona
june 4 deadline
esot
sep 17-20
athens
323. weinberg#
324. monica#
monica boulter
weldon & weldon financial coaching
traditional index investing
represents sector of market or economy
just tracks the returns of an index
not an investment in an index
mirrors index
changes only on index reconstitution
done on annual basis, rebalancing
has shown his cards to the market place
are at a trading disadvantage
style drift (left flexibility)
tracking error ? doesn’t this help keep to weighted average ? minimize noise ? fees and error, lower return
structured market approach
dynamic approach
specific premiums
value above index (idea)
insights from academic research
3 equity risk premia
maintain stucture and discipline over time
asset allocation weighted toward asset premia
22k holdings over 79 countries
underlying funds daily review
multi-dimentional fund-of-funds
investor portfolio
the 20 questions to ask self & must answer with 100% yes:
purpose for money
mental biases
invested in market
three warning signs
academic understanding
philosophy
consistent returns
know what doing at all times
system to measure volatilty
academic method for measuring risk tolerance
quality and maturities in your fixed portfolio
where fall on markowitz efficient frontier
investor coach vs. financial planner
algorithm and tested processes for rebalancing ** ai
commissions and costs of commissions
understand diversification in porftolio
investment policy statement
divised a method for measuring success
cultural messages and personal mindsets about money
are you ready to shift personal mindset from scarcity mode to abundance mode
to be done unto me: mri on my current investments and see where i’m at
somehow they didn’t listen to my needs
didn’t ask for a meeting or advice
never offer solutions where none sought
anyways: + i look forward to chatGPT plugins + these use chatGPT as a basemodel + finetune to individual client + copilot obvious role + need all investment strategies + exposure to them + adaptive strategies prospectively + reweight at descretion + with emerging insights from copilot + no point bad-mouthing index funds to me + you missed the point of my jhu anecdote
325. autoencoder#
experiences
compressed
representation
\(\vdots\)
I appreciate your desire to delve into the depth and richness of Nietzsche's philosophy, using metaphors such as deep learning and a giant oak tree with two main stems and numerous branches. Metaphors can serve as powerful tools to facilitate understanding and exploration of complex ideas.
In the metaphor of a giant oak tree, the two main stems could represent the primary dichotomies or contrasting themes that Nietzsche explores, such as the affirmation of life versus the denial of life, the will to power versus the will to hibernation, or the critique of traditional morality. These main stems give rise to numerous branches, which symbolize the interconnected concepts, sub-themes, and interpretations that emanate from Nietzsche's foundational ideas.
Just as a deep learning model discovers intricate patterns and representations within data, you can embark on a journey of exploration through Nietzsche's philosophy, uncovering the intricate connections and insights that lie within his writings. By examining the branches and their interplay, you can gain a deeper understanding of Nietzsche's philosophy as a whole.
Remember that exploring Nietzsche's philosophy requires engaging with his works directly, analyzing the nuances of his ideas, and considering the broader historical and intellectual context in which he wrote. Nietzsche's philosophy invites critical inquiry, and the use of metaphors can assist in conceptualizing and navigating the intricate landscape of his thought.
I encourage you to embark on your exploration, embracing the metaphorical framework you find helpful while maintaining an open and inquisitive mindset. May your journey into Nietzsche's philosophy be enriching and rewarding.
#
amen!
#
I'm glad to hear that you resonate with the sentiment. If you have any more questions or need further assistance in the future, feel free to ask. Happy exploring!
could you give me step by step workflow that leads to a webapp I may use to improve my old photos from childhood?
\(\vdots\)
ok, maybe I asked for too much. I just want to drop my photos in a folder on my computer, and find the refined photos in another folder. happy to use python
326. babyd#
Initiate chat.openai.com 9:05 PM
Project Folder
Input Folder
Output Folder
Complete enhancement & upload 9:33 PM
Was that simple & I don’t exaggerate
Show code cell source
import os
import cv2
import numpy as np
input_folder = '/Users/d/Dropbox (Personal)/0g.κοσμογονία,γ/2.pantheon/input_folder'
output_folder = '/Users/d/Dropbox (Personal)/0g.κοσμογονία,γ/2.pantheon/output_folder'
# Iterate over images in the input folder
for filename in os.listdir(input_folder):
if filename.endswith('.PNG') or filename.endswith('.PNG'):
# Read the image
image_path = os.path.join(input_folder, filename)
image = cv2.imread(image_path)
# Apply image processing techniques
# Adjust contrast and brightness
alpha = 1.5 # Contrast control (1.0 for no change)
beta = 10 # Brightness control (0 for no change)
adjusted_image = cv2.convertScaleAbs(image, alpha=alpha, beta=beta)
# Increase saturation
hsv_image = cv2.cvtColor(adjusted_image, cv2.COLOR_BGR2HSV)
hsv_image = hsv_image.astype(float)
hsv_image[:, :, 1] *= 1.2 # Increase saturation by 20%
hsv_image[:, :, 1] = np.clip(hsv_image[:, :, 1], 0, 255) # Clip values to valid range
hsv_image = hsv_image.astype(np.uint8)
saturated_image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
# Apply adaptive histogram equalization
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
lab_image = cv2.cvtColor(saturated_image, cv2.COLOR_BGR2LAB)
lab_image[:, :, 0] = clahe.apply(lab_image[:, :, 0])
equalized_image = cv2.cvtColor(lab_image, cv2.COLOR_LAB2BGR)
# Correct white balance using Gray World assumption
avg_b = np.mean(equalized_image[:, :, 0])
avg_g = np.mean(equalized_image[:, :, 1])
avg_r = np.mean(equalized_image[:, :, 2])
avg_gray = (avg_b + avg_g + avg_r) / 3.0
corrected_image = equalized_image.copy()
corrected_image[:, :, 0] = np.clip(corrected_image[:, :, 0] * (avg_gray / avg_b), 0, 255)
corrected_image[:, :, 1] = np.clip(corrected_image[:, :, 1] * (avg_gray / avg_g), 0, 255)
corrected_image[:, :, 2] = np.clip(corrected_image[:, :, 2] * (avg_gray / avg_r), 0, 255)
# Sharpening using unsharp masking
blurred_image = cv2.GaussianBlur(corrected_image, (0, 0), 3)
sharpened_image = cv2.addWeighted(corrected_image, 1.5, blurred_image, -0.5, 0)
# Save the refined image to the output folder
output_path = os.path.join(output_folder, filename)
cv2.imwrite(output_path, sharpened_image)
print(f'{filename} processe d and saved.')
print('Image processing complete.')
IMG_0697.PNG processe d and saved.
Image processing complete.
This script adjusts contrast and brightness, increases saturation, applies adaptive histogram equalization, corrects white balance, and performs sharpening using unsharp masking. The processed image is then saved in the output folder.
original:
output1:
327. babyd2#
Show code cell source
import os
import cv2
import numpy as np
input_folder = '/Users/d/Dropbox (Personal)/0g.κοσμογονία,γ/2.pantheon/input_folder'
output_folder = '/Users/d/Dropbox (Personal)/0g.κοσμογονία,γ/2.pantheon/output_folder'
# Define the parameters for image processing
brightness = 16.18 # Adjust brightness (0 for no change)
contrast = 0.618 # Adjust contrast (1.0 for no change)
saturation_increase = 1.1 # Increase saturation (1.0 for no change)
clip_limit = 2.5 # Clip limit for adaptive histogram equalization
tile_grid_size = (4, 4) # Tile grid size for adaptive histogram equalization
unsharp_masking_sigma = 30 # Sigma parameter for Gaussian blur in unsharp masking
unsharp_masking_alpha = 1.5 # Alpha parameter for unsharp masking
unsharp_masking_beta = -.2 # Beta parameter for unsharp masking; 10 in first iteration
# Iterate over images in the input folder
for filename in os.listdir(input_folder):
if filename.endswith('.PNG') or filename.endswith('.PNG'):
# Read the image
image_path = os.path.join(input_folder, filename)
image = cv2.imread(image_path)
# Apply image processing techniques
# Adjust brightness and contrast
adjusted_image = cv2.convertScaleAbs(image, alpha=contrast, beta=brightness)
# Increase saturation
hsv_image = cv2.cvtColor(adjusted_image, cv2.COLOR_BGR2HSV)
hsv_image = hsv_image.astype(float)
hsv_image[:, :, 1] *= saturation_increase
hsv_image[:, :, 1] = np.clip(hsv_image[:, :, 1], 0, 255)
hsv_image = hsv_image.astype(np.uint8)
saturated_image = cv2.cvtColor(hsv_image, cv2.COLOR_HSV2BGR)
# Apply adaptive histogram equalization
clahe = cv2.createCLAHE(clipLimit=clip_limit, tileGridSize=tile_grid_size)
lab_image = cv2.cvtColor(saturated_image, cv2.COLOR_BGR2LAB)
lab_image[:, :, 0] = clahe.apply(lab_image[:, :, 0])
equalized_image = cv2.cvtColor(lab_image, cv2.COLOR_LAB2BGR)
# Unsharp masking for sharpening
blurred_image = cv2.GaussianBlur(equalized_image, (0, 0), unsharp_masking_sigma)
sharpened_image = cv2.addWeighted(equalized_image, unsharp_masking_alpha, blurred_image, unsharp_masking_beta, 0)
# Save the refined image to the output folder
output_path = os.path.join(output_folder, filename)
cv2.imwrite(output_path, sharpened_image)
print(f'{filename} processed and saved.')
print('Image processing complete.')
IMG_0697.PNG processed and saved.
Image processing complete.
05/25/2023#
328. babygirl#
god works in mysterious ways
just accept the mystery
but here we are again!
329. credo#
back to our autencoder metaphor. how tidy is a metaphor, where in God represents reduced dimensionality down to one factor?
#
Using God as a metaphor to represent reduced dimensionality down to one factor in the context of an autoencoder can be thought-provoking, but it is important to note that metaphors can be subjective and open to various interpretations.
In the autoencoder framework, the goal is to learn a compact representation of data by reducing its dimensionality. This compressed representation captures the essential features or patterns of the input data in a lower-dimensional space. However, it is not common to associate this reduced dimensionality with a singular factor represented by a metaphorical entity like God.
Metaphors are often used to make complex concepts more relatable or understandable by drawing analogies to familiar or abstract ideas. While metaphors can be powerful tools for conveying meaning, equating the reduced dimensionality of an autoencoder with the concept of God may be highly subjective and open to different interpretations based on individual beliefs and perspectives.
It is worth noting that the autoencoder itself is a mathematical model that operates based on principles of data compression and reconstruction. Its purpose is to find meaningful representations in an efficient manner, without inherently involving spiritual or religious aspects.
Ultimately, the choice and interpretation of metaphors are personal and can vary based on individual perspectives, experiences, and cultural backgrounds. If you find meaning and insight in associating the reduced dimensionality with the concept of God, it can serve as a metaphor that resonates with you personally.
#
yes, it is not common to associate this reduced dimensionality with a singular factor represented by a metaphorical entity like God. Because theologians and philosophers don't use auto encoders. but at the core of it, isn't a Credo precisely that?
#
A Credo, which is a statement of beliefs or a creed, is indeed a representation of core principles or fundamental beliefs held by individuals or groups. It can provide a concise summary or declaration of faith, guiding principles, or philosophical tenets.
While an autoencoder is a mathematical model used in machine learning for data compression and reconstruction, and its purpose is quite different from a Credo, there can be conceptual parallels between the two. Both aim to distill complex ideas or representations into more concise and meaningful forms.
A Credo, often associated with religious or philosophical frameworks, encapsulates a set of beliefs and principles that serve as a foundation for an individual or a community's worldview. It attempts to capture fundamental truths or guiding principles in a concise and coherent manner.
Similarly, an autoencoder aims to extract essential features or patterns from data and represent them in a reduced-dimensional space, providing a compressed representation while preserving the salient information. It seeks to capture the most important aspects of the input data in a compact form.
While the methodologies and contexts differ, both a Credo and an autoencoder share the common goal of distilling complex information into a more focused and meaningful representation. However, it is important to note that the scope, purpose, and nature of the two are inherently different, with a Credo being rooted in philosophical or religious discourse, and an autoencoder being a mathematical and computational tool for data analysis.
It's fascinating to explore the connections and parallels between different domains, such as theology, philosophy, and machine learning, as they can offer insights and new perspectives.
330. beautifulsoup#
could you write me a python program that outputs a table of woody Allen's entire filmography?
\(\vdots\)
this is a very incomplete list. check wikipedia
I apologize for the incomplete list. As an AI language model, I don't have real-time access to the internet or external sources like Wikipedia. However, I can provide you with a Python program that scrapes Woody Allen's filmography from Wikipedia and generates a table. Please make sure you have the beautifulsoup4 and requests libraries installed before running the code. Here's an example:
Show code cell source
import requests
from bs4 import BeautifulSoup
from tabulate import tabulate
def scrape_filmography():
# URL of Woody Allen's filmography on Wikipedia
url = "https://en.wikipedia.org/wiki/Woody_Allen_filmography"
# Send a GET request to the URL and retrieve the content
response = requests.get(url)
content = response.text
# Create a BeautifulSoup object to parse the HTML content
soup = BeautifulSoup(content, "html.parser")
# Find the table containing the filmography
table = soup.find("table", class_="wikitable")
# Extract the film data from the table
filmography = []
rows = table.find_all("tr")[1:] # Exclude the header row
for row in rows:
columns = row.find_all("td")
if len(columns) >= 3:
title = columns[0].text.strip()
year = columns[1].text.strip()
genre = columns[2].text.strip()
director = "Woody Allen"
filmography.append([title, year, genre, director])
return filmography
# Scrape Woody Allen's filmography
filmography_table = scrape_filmography()
# Print the filmography table
print(tabulate(filmography_table, headers=["Title", "Year", "Genre", "Director"]))
Title Year Genre Director
----------------------- ------------------------------------------------------------------------ ------- -----------
1966 What's Up, Tiger Lily? Yes Woody Allen
1969 Take the Money and Run Yes Woody Allen
1971 Bananas Yes Woody Allen
1972 Everything You Always Wanted to Know About Sex*(*But Were Afraid to Ask) Yes Woody Allen
1973 Sleeper Yes Woody Allen
1975 Love and Death Yes Woody Allen
1977 Annie Hall Yes Woody Allen
1978 Interiors Yes Woody Allen
1979 Manhattan Yes Woody Allen
1980 Stardust Memories Yes Woody Allen
1982 A Midsummer Night's Sex Comedy Yes Woody Allen
1983 Zelig Yes Woody Allen
1984 Broadway Danny Rose Yes Woody Allen
1985 The Purple Rose of Cairo Yes Woody Allen
1986 Hannah and Her Sisters Yes Woody Allen
1987 Radio Days Yes Woody Allen
September Yes Yes Woody Allen
1988 Another Woman Yes Woody Allen
1989 New York Stories Partial Woody Allen
Crimes and Misdemeanors Yes Yes Woody Allen
1990 Alice Yes Woody Allen
1991 Shadows and Fog Yes Woody Allen
1992 Husbands and Wives Yes Woody Allen
1993 Manhattan Murder Mystery Yes Woody Allen
1994 Bullets Over Broadway Yes Woody Allen
1995 Mighty Aphrodite Yes Woody Allen
1996 Everyone Says I Love You Yes Woody Allen
1997 Deconstructing Harry Yes Woody Allen
1998 Celebrity Yes Woody Allen
1999 Sweet and Lowdown Yes Woody Allen
2000 Small Time Crooks Yes Woody Allen
2001 The Curse of the Jade Scorpion Yes Woody Allen
2002 Hollywood Ending Yes Woody Allen
2003 Anything Else Yes Woody Allen
2004 Melinda and Melinda Yes Woody Allen
2005 Match Point Yes Woody Allen
2006 Scoop Yes Woody Allen
2007 Cassandra's Dream Yes Woody Allen
2008 Vicky Cristina Barcelona Yes Woody Allen
2009 Whatever Works Yes Woody Allen
2010 You Will Meet a Tall Dark Stranger Yes Woody Allen
2011 Midnight in Paris Yes Woody Allen
2012 To Rome with Love Yes Woody Allen
2013 Blue Jasmine Yes Woody Allen
2014 Magic in the Moonlight Yes Woody Allen
2015 Irrational Man Yes Woody Allen
2016 Café Society Yes Woody Allen
2017 Wonder Wheel Yes Woody Allen
2019 A Rainy Day in New York Yes Woody Allen
2020 Rifkin's Festival Yes Woody Allen
2023 Coup de chance Yes Woody Allen
This program uses the requests library to send a GET request to Woody Allen’s filmography page on Wikipedia and retrieves the HTML content. It then uses the beautifulsoup4 library to parse the HTML and extract the film data from the table on the page. The film details are stored in a list of lists, and the tabulate function is used to format and print the filmography table.
Please note that web scraping can be subject to changes in the target website’s structure, so the code may need adjustments if the Wikipedia page layout or class names change.
05/29/2023#
331. paulo#
ai
smart apps
education
brass tap
marc
pinôt noir
union station
capital hill
albino squirrel
justine & antonia
bethesda
willo
missa solemnis
kyrie
mercy (greek)
gloria
praise (trinity)
credo
faith (one)
sanctus
communion (with)
agnus dei
done (verb)
inner harbor
harbor east
fells point
middle river
mark
abe
columbia
gyu-kaku yakiniku party 6415 calories
starters
star+ gyu-kaku salad x2
miso soup x4
chicken garlic noodle x2
gyu-sushi x4
edamame
napa kimchi
japanese fried chicken
spicy tuna volcano
bbq
prime kalbi short rib
filet mignon
umakara ribeye
bistro hanger steak
new york steak
yaki-shabu beef
chichek
umakara pork
shrimp
kalbi chuck rib
dessert
s’mores x4
wine
gyu-kaku nigori sake, 375ml, 500cal
pub dog
new england ipa x6
coffee stout x1
332. missa#
Show code cell source
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
import sklearn as skl
#plt.figure(figsize=[2, 2])
G = nx.DiGraph()
G.add_node("Cosmos ", pos = (0, 5) )
G.add_node("Quake", pos = (1, 5) )
G.add_node("Flood", pos = (2, 5) )
G.add_node("Plague", pos = (3, 5) )
G.add_node("Ways", pos = (4, 5) )
G.add_node("Dumb", pos = (5, 5) )
G.add_node("Ascetic", pos = (6, 5) )
G.add_node("Pure", pos = (7, 5) )
G.add_node("Yhwh", pos = (1.4, 4) )
G.add_node("Father", pos = (2.8, 4) )
G.add_node("Son", pos = (4.2, 4) )
G.add_node("Holy", pos = (5.6, 4) )
G.add_node("Old/Spine", pos = (2.1, 3) )
G.add_node("New/Mind", pos = (4.9, 3) )
G.add_node("Covenat", pos = (1.4, 2) )
G.add_node("Lamb", pos = (2.8, 2) )
G.add_node("Wine", pos = (4.2, 2) )
G.add_node("Bread", pos = (5.6, 2) )
G.add_node("Ark", pos = (0, 1) )
G.add_node("War", pos = (1, 1) )
G.add_node("Requite", pos = (2, 1) )
G.add_node("Discord", pos = (3, 1) )
G.add_node("Forever", pos = (4, 1) )
G.add_node("God", pos = (5, 1) )
G.add_node("With", pos = (6, 1) )
G.add_node("Tobe", pos = (7, 1) )
G.add_edges_from([ ("Cosmos ", "Yhwh"), ("Cosmos ", "Father"), ("Cosmos ", "Son"), ("Cosmos ", "Holy")])
G.add_edges_from([ ("Quake", "Yhwh"), ("Quake", "Father"), ("Quake", "Son"), ("Quake", "Holy")])
G.add_edges_from([ ("Flood", "Yhwh"), ("Flood", "Father"), ("Flood", "Son"), ("Flood", "Holy")])
G.add_edges_from([ ("Plague", "Yhwh"), ("Plague", "Father"), ("Plague", "Son"), ("Plague", "Holy")])
G.add_edges_from([ ("Ways", "Yhwh"), ("Ways", "Father"), ("Ways", "Son"), ("Ways", "Holy")])
G.add_edges_from([ ("Dumb", "Yhwh"), ("Dumb", "Father"), ("Dumb", "Son"), ("Dumb", "Holy")])
G.add_edges_from([ ("Ascetic", "Yhwh"), ("Ascetic", "Father"), ("Ascetic", "Son"), ("Ascetic", "Holy")])
G.add_edges_from([ ("Pure", "Yhwh"), ("Pure", "Father"), ("Pure", "Son"), ("Pure", "Holy")])
G.add_edges_from([ ("Yhwh", "Old/Spine"), ("Yhwh", "New/Mind")])
G.add_edges_from([ ("Father", "Old/Spine"), ("Father", "New/Mind")])
G.add_edges_from([ ("Son", "Old/Spine"), ("Son", "New/Mind")])
G.add_edges_from([ ("Holy", "Old/Spine"), ("Holy", "New/Mind")])
G.add_edges_from([ ("Old/Spine", "Covenat"), ("Old/Spine", "Lamb"), ("Old/Spine", "Wine"), ("Old/Spine", "Bread")])
G.add_edges_from([ ("New/Mind", "Covenat"), ("New/Mind", "Lamb"), ("New/Mind", "Wine"), ("New/Mind", "Bread")])
G.add_edges_from([ ("Covenat", "Ark"), ("Covenat", "War"), ("Covenat", "Requite"), ("Covenat", "Discord")])
G.add_edges_from([ ("Covenat", "Forever"), ("Covenat", "God"), ("Covenat", "With"), ("Covenat", "Tobe")])
G.add_edges_from([ ("Lamb", "Ark"), ("Lamb", "War"), ("Lamb", "Requite"), ("Lamb", "Discord")])
G.add_edges_from([ ("Lamb", "Forever"), ("Lamb", "God"), ("Lamb", "With"), ("Lamb", "Tobe")])
G.add_edges_from([ ("Wine", "Ark"), ("Wine", "War"), ("Wine", "Requite"), ("Wine", "Discord")])
G.add_edges_from([ ("Wine", "Forever"), ("Wine", "God"), ("Wine", "With"), ("Wine", "Tobe")])
G.add_edges_from([ ("Bread", "Ark"), ("Bread", "War"), ("Bread", "Requite"), ("Bread", "Discord")])
G.add_edges_from([ ("Bread", "Forever"), ("Bread", "God"), ("Bread", "With"), ("Bread", "Tobe")])
#G.add_edges_from([("H11", "H21"), ("H11", "H22"), ("H12", "H21"), ("H12", "H22")])
#G.add_edges_from([("H21", "Y"), ("H22", "Y")])
nx.draw(G,
nx.get_node_attributes(G, 'pos'),
with_labels=True,
font_weight='bold',
node_size = 3000,
node_color = "lightblue",
linewidths = 3)
ax= plt.gca()
ax.collections[0].set_edgecolor("#000000")
ax.set_xlim([-.5, 7.5])
ax.set_ylim([.5, 5.5])
plt.show()
333. catechums#
judica me - psalm 42
judge me
distinguish my cause
from unjust & deceitful, deliver me
thou art my strength
send forth thy light
i will praise thee upon the harp
glory be to the father, and to the son, and to …
as was in the beginning, is now, and ever shall be
world without end. amen.
why go i mourning because of the oppression of the enemy?
i confess to blessed
mary ever virgin
michael the archangel
john the baptist
apostles peter and paul
all the saints
and to you father
that i have sinned exceedingly in thought, word, and deed
so i beseech the blessed mary…
pray to the lord our god for me
334. 3types#
sensory
assault of unlimited range, magnitude, duration
blocked sensory input or exposure to environments
thus, \(kyrie-eleison\)
spare me, have mercy on me
otherwise, alcohol, drugs
avoideth evil, prudence
hiddeth
cognitive [32]
mostly engagement of ascending fibres
because of ineffectual reflex arc or weak muscle
inability to requite adversaries
because of weakness, frailty, meekness
downstream damning results in over-developed intellect
cause, will, means (school of resentment united), but not inner strength
waileth, appealeth to stronger power
whinneth
muscle
effective reflex arc
little engagement of ascending fibres
samson
david
julio cesare
cesare borgia
napoleon
achilles
okonkwo
undeveloped intellect
because agile
constant stream of energy
ever renewed
olympian, tournament, champion
commandeth respect, fear
tameth
335. be#
action vs. beattitudes
requite vs. resent
old vs. new
336. fave#
Dear Lord and Father of mankind,
Forgive our foolish ways!
Reclothe us in our rightful mind,
In purer lives Thy service find,
In deeper reverence, praise.
In simple trust like theirs who heard
Beside the Syrian sea
The gracious calling of the Lord,
Let us, like them, without a word
Rise up and follow Thee.
O Sabbath rest by Galilee!
O calm of hills above,
Where Jesus knelt to share with Thee
The silence of eternity
Interpreted by love!
With that deep hush subduing all
Our words and works that drown
The tender whisper of Thy call,
As noiseless let Thy blessing fall
As fell Thy manna down.
Drop Thy still dews of quietness,
Till all our strivings cease;
Take from our souls the strain and stress,
And let our ordered lives confess
The beauty of Thy peace.
Breathe through the heats of our desire
Thy coolness and Thy balm;
Let sense be dumb, let flesh retire;
Speak through the earthquake, wind, and fire,
O still, small voice of calm.
337. covenant#
old
noahic
abrahamic
mosaic
priestly
davidic
new
david ✡
solomon
forever
jesus
blood 🩸
338. total ⚽#
totaalvoetbal
s3e7 ted lasso+
cruyff
guardiola
bulls
richmond
05/30/2023#
339. dimentionality#
minimum number of coordinates needed to specify any point within it
line 1D
surface 2D
cube 3D
time-space 4D
superstring 10D
quantum \(\infty\)D
dimentionality reduction
big bang theory
atomic theory
periodic table
nucleic acids
will-to-power
strength
intelligence
biological
\(c.\ elegans\)
pavlov
human
chromatic scale 12D
medicine-in-a-nutshell 3D
\(\mu, \sigma\) 2D
god 1D
artificial
supervised
unsupervised
adaptive
monitoring
340. in-a-nutshell#
life
credo
remix
341. aesthetics#
boundaries
constraints
tradition
genre
sui generis
life
diet
exercise
bmi
342. music#
The Religious Source of the Newer Music.—Soulful music arose out of the Catholicism re-established after the Council of Trent, through Palestrina, who endowed the newly-awakened, earnest, and deeply moved spirit with sound; later on, in Bach, it appeared also in Protestantism, as far as this had been deepened by the Pietists and released from its originally dogmatic character. The supposition and necessary preparation for both origins is the familiarity with music, which existed during and before the Renaissance, namely that learned occupation with music, which was really scientific pleasure in the masterpieces of harmony and voice-training. On the other hand, the opera must have preceded it, wherein the layman made his protest against a music that had grown too learned and cold, and endeavoured to re-endow Polyhymnia with a soul. Without the change to that deeply religious sentiment, without the dying away of the inwardly moved temperament, music would have remained learned or operatic; the spirit of the counter-reformation is the spirit of modern music (for that pietism in Bach’s music is also a kind of counter-reformation). So deeply are we indebted to the religious life. Music was the counter-reformation in the field of art; to this belongs also the later painting of the Caracci and Caravaggi, perhaps also the baroque style, in any case more than the architecture of the Renaissance or of antiquity. And we might still ask: if our newer music could move stones, would it build them up into antique architecture? I very much doubt it. For that which predominates in this music, affections, pleasure in exalted, highly-strained sentiments, the desire to be alive at any cost, the quick change of feeling, the strong relief-effects of light and shade, the combination of the ecstatic and the naïve,—all this has already reigned in the plastic arts and[Pg 199] created new laws of style:—but it was neither in the time of antiquity nor of the Renaissance.
343. bach#
Sebastian Bach.—In so far as we do not hear Bach’s music as perfect and experienced connoisseurs of counterpoint and all the varieties of the fugal style (and accordingly must dispense with real artistic enjoyment), we shall feel in listening to his music—in Goethe’s magnificent phrase—as if “we were present at God’s creation of the world.” In other words, we feel here that something great is in the making but not yet made—our mighty modern music, which by conquering nationalities, the Church, and counterpoint has conquered the world. In Bach there is still too much crude Christianity, crude Germanism, crude scholasticism. He stands on the threshold of modern European music, but turns from thence to look at the Middle Ages.
344. homer#
How Paradoxical Homer can be.—Is there anything more desperate, more horrible, more incredible, shining over human destiny like a winter sun, than that idea of Homer’s:
“So the decree of the Gods willed it, and doomed man to perish, that it might be a matter for song even to distant generations”?
In other words, we suffer and perish so that poets may not lack material, and this is the dispensation of those very Gods of Homer who seem much concerned about the joyousness of generations to come, but very little about us men of the present. To think that such ideas should ever have entered the head of a Greek!
.
Limiting and Widening.—Homer limited and diminished the horizon of his subject, but allowed individual scenes to expand and blossom out. Later, the tragedians are constantly renewing this process. Each takes his material in ever smaller and smaller fragments than his predecessor did, but each attains a greater wealth of blooms within the narrow hedges of these sequestered garden enclosures.
.
The Artistic Convention.—Three-fourths of Homer is convention, and the same is the case with all the Greek artists, who had no reason for falling into the modern craze for originality. They had no fear of convention, for after all convention was a link between them and their public. Conventions are the artistic means acquired for the understanding of the hearer; the common speech, learnt with much toil, whereby the artist can really communicate his ideas. All the more when he wishes, like the Greek poets and musicians, to conquer at once with each of his works (since he is accustomed to compete publicly with one or two rivals), the first condition is that he must be understood at once, and this is only possible by means of convention. What the artist devises beyond convention he offers of his own free will and takes a risk, his success at best resulting in the setting-up of a new convention. As a rule originality is marvelled at, sometimes even worshipped, but seldom understood. A stubborn avoidance of convention means a desire not to be understood. What, then, is the object of the modern craze for originality?
(my-label)= “dimentionality”
345. particles#
dimensionality reduction [32]
a rollercoaster ride
variation of the number
elementary particles
function of time
pascal pralavorio
346. corruption#
dimensionality reduction
the ultimate pathway to
corruption of body, mind, and soul
since it is associated with profound
psychological effects such as
longed-for primeval catharsis
we are right to expect man to
cling
isn’t this how religion corrupts?
afterall, the above figures’
X?
= God!different from ledermans god particle
financial disclosure has become a thing
because finance=security=dimensionality reduction=corruption
347. dr.muzaale#
dimentionality reducing muzaale
an alluring journey taken by all
but articulated by this fella
it's been quite an ache
goin' about tryin' to bake
a tasty-sweet poetry cake
for your to partake
and for all of my pains,
there's hardly been any gains;
except for what herein reigns:
poetry with no brains!
forgive me if you're led to sleep
as you read through these rhymes
pardon me if you're led to weep
for the poetry of these times:
i am but a doctor;
poet with no mentor,
about to enter--
something `beyond my mental'
348. beyond#
my mentors
king solomon in his ecclesiastes stage
shakespeare at the time he wrote hamlet
einstein whinging about god not playing dice
portrait of the artist as a young man:
stephen dedalus
the class of elements
clongowes wood college
sallins
county kildare
ireland
europe
world
universe
it was very big to think about everything and everywhere. only god could do that. he tried to think what a big thought that must be but he could only think of god
349. ultimate#
test of any philosophy:
from whence commeth evil?
dimentionality reduction!
05/31/2023#
350. chatGPT#
Q:
Hey Can you hear me? Anyway, so hey, um, I’ve been thinking about dimensionality reduction Dimensionality reduction I understand It’s mathematical Foundation, but I want to push it to philosophy and just generally to psychology and And Without doing much literature review my understanding is that the foundation of human psychology is Man’s attempt at dimensionality reduction in other words man wants to Reduce the number of variables that he needs to worry about To a bare minimum Of course the minimum number of variables is one because zero be nihilistic but one would be God And so if you have reduced everything to a deity Then you have a very simple solution for everything. It’s parsimony but from a more technical perspective of seen dimensionality reduction in physics and cosmology from Maybe an infinite number of elements Needed to explain the cosmos to about four earth wind and fire at some point in Greek antiquity then From those four elements. There was an ink the periodic table got populated by a Russian scientist and The scientists that were influenced by his work And then there was a dimensionality reduction from 38 or 39 Down to two elements by Niels Niebuhr When he described his atomic model that consists of electrons and protons and then the dimensions grew once again as Neutrons and other particles got discovered and then there was again a drop in dimensionality down to Probably seven or something leptons and quarks and then that grew again towards a standard model So thinking of this from physics and thinking of this as a method for What man is seeking including that scientific man or those scientific men that are driving this progress from tales in ancient Greek antiquity to Empedocles to Democritus and all the way through to you know, Dalton Rutherford Niels Bohr and to the more recent of the famous Higgs boson. There is a psychological drive motive to his dimensionality reduction and it appears that all other aspects of life are like that as I’ve mentioned with religion including reducing dimensions to one variable like God What say you what do you have from your repository of information?
A:
Dimensionality reduction is indeed a concept commonly used in mathematics, statistics, and machine learning to simplify complex data. It involves reducing the number of variables or dimensions while preserving important information. However, your perspective on extending dimensionality reduction to philosophy and psychology is interesting.
In the realm of human psychology, it is true that individuals often seek to simplify and reduce the complexities they encounter. This desire for simplicity can be seen in various aspects of life, including religion, where the concept of God is often used as a unifying and explanatory force. By reducing the complexities of existence to a single variable like God, it provides a sense of coherence and understanding.
In the field of physics and cosmology, there has been a historical trend of dimensionality reduction as well. As scientific understanding progresses, scientists strive to uncover the fundamental principles and elements that underlie the complexities of the universe. This process involves simplifying and reducing the number of variables or fundamental particles to create more comprehensive models.
While the idea of dimensionality reduction may not have been explicitly explored in philosophy and psychology, there is merit in considering how individuals and disciplines aim to simplify and reduce complexity. By doing so, they seek greater understanding, coherence, and explanatory power. It’s an intriguing perspective that sheds light on the human desire for simplicity and the pursuit of underlying principles.
351. d’mille#
victoria monét
channels two
d’mille -> timberland
v’monét -> aaliyah
and its just as well. great artists can readily immitate by decoding essence
life
credo
remix
projection
deepfake
filter
counterfeit
simulate
inference
knowledge
wisdom
352. weight#
starve
june
july
august
swim
im
daily
minimum90
achieve
habits
limits
aesthetics
353. synthesis#
life
diversity
complexity
vast array
credos
beliefs
remix
everyone adds
unique projection to
collective human experience
blending truths & perspectives
harmonious symphony of ideas
deepfakes & filters aren’t emergent:
they come from a credo of rigor & ends-justify means
so needn’t threaten to counterfeit reality; jacob did it!
instead, its a challenge to our ability to discern truth from fiction
or to not be gullible, sloppy, or ignorant of autoencoding
navigate
intricate landscape
simulate alternate scenarios
draw inferences from
accumulated knowledge
illuminate the path forward
pursuit
this pursuit of wisdom
strive to unravel
intricacies of life’s tapestry
synthesizing the profound connection
between these seemingly disparate concepts
forging deeper understanding of
our shared
human journey
353. end#
it all ends today: impulsive response to urges!
we now embrace convention (3/4) & self-imposed fetters (1/4)
like homer or any poet worthy of the name
communicating two things
to a receptive audience!
354. classical#
manuscript abstract
restraint
form
ethics
aesthetics
upper classes
luxury to not do
sort of asceticism?
otherwise?
gross indulgence
lack of discipline
355. sloppy#
in dealing with
self
family
buddies
commrades
others
symptomatic of frailty:
energy
diligence
passion
interest
time
no rigor
356. slippery#
true/life/senses
rigor/credo/afferent
error
/remix/brainsloppy/credo/efferent
fraud/life/muscles
357. tls3e12#
you tell her she’s a fraud
that preys on peoples
weaknesses
358. inability2#
requite
flex
resultsin:
symbolisms
ideals
music espressivo
feminisms