9 research outputs found
Integrated Green Supply Chain Model to Reduce Carbon Emission with Permissible Delay-in-Payment Consideration
No full textIn practice, the policy of delaying payment periods is prevalent between players in a supply chain system. Generally, payments are made at the end of the permitted period. Supply chain management is one of the keys to corporate sustainability that the activities impact the environment. This paper aims to develop an integrated green supply chain model with a permissible delay in payment consideration. In this research, the author develops a mathematical model to find the effect of delay in payment on emissions costs without ignoring the economic performance of a supply chain. The author develops four different scenario models. Furthermore, numerical experiments and sensitivity analysis tests were conducted. The study results show that delay in payment is integrated into the supply chain system, which has a positive impact on reducing supply chain emissions costs
Analisis Penerapan Prinsip Kehati-Hatian (Prudential Principle) Dalam Penyaluran Pembiayaan Konsumtif Pada Lembaga Keuangan Syariah
Full text linkThe aim of this research is to explain the application of the prudential principle in the distribution of consumer financing at DI BMT MUBARAKAH KUDUS. The type of research that the author conducted was field research with a qualitative descriptive approach. This research was carried out at BMT Mubarakah Kudus. The subjects of this research were managers, tellers, marketing and customers of BMT Mubarakah Kudus. The main data sources obtained directly from the original sources through observation, interviews, or surveys, and secondary data sources come from relevant literature studies. The data collection techniques in this research are interviews and documentation. Meanwhile, testing the validity of the data through triangulation of methods, theories and data sources. The data analysis technique is applied using an inductive thinking approach to examine in depth the analysis of the application of the prudential principle in the distribution of consumer financing at BlMT Mubarakah Kudus. The results of the research show that the application of the prudential principle in consumer financing at BMT Mubarakah Kudus applies a feasibility analysis based on the 6 C principles (character, capacity, capital, condition, collateral and constraints) with an emphasis on the analysis aspects of character, ability, and guarantee. The factors that influence the occurrence of problematic consumer financing involve internal aspects, where BMT Mubarakah Kudus faces a lack of caution in analyzing prospective customers when applying for financing. Meanwhile, external factors, including economic conditions that have not fully recovered after the pandemic, have caused a decline in income for many businesses
HEWAN SEBAGAI MODEL PENYAKIT INFEKSI PERNAFASAN YANG DISEBABKAN OLEH BAKTERI
Full text linkPendahuluan: Penyakit infeksi pernafasan karena bakteri merupakan penyakit yang memiliki kasus tinggi di Indonesia. Penyakit pernafasan karena infeksi bakteri juga bersifat nosokomial dan dapat menyebar di komunitas. Bakteri yang menyebabkan infeksi pernafasan ini sangat beragam baik dari jenis bakterinya, tingkat resistensinya, maupun tingkat virulensinya. Tingkat virulensi bakteri mempengaruhi konsekuensi penyakitnya pada pasien.
Metode: Dalam menentukan virulensi bakteri secara in vivo, beberapa hewan dapat digunakan sebagai model infeksi pernafasan karena bakteri seperti tikus, ikan zebra (Danio rerio), ngengat lilin (Galleria mellonella), nematoda Caenorhabditis elegans.
Hasil: Dari sudut pandang author, jika menilik biaya dan kemudahan sebagai prioritas, ulat G. mellonella memiliki beberapa keunggulan dibandingkan hewan lain seperti biaya produksi murah, tidak membutuhkan perizinan etik, dapat diinkubasi pada suhu 37° C, juga sudah banyak publikasi yang menggunakan ulat ini dalam uji virulensi bakteri.
Kesimpulan: Review artikel ini akan menjelaskan perbandingan kelebihan dan kekurangan hewan model tersebut dalam model in vivo bakteri infeksi pernafasan
KONTRIBUSI PEMIKIRAN HASBI ASH-SHIDDIEQY TENTANG HADIS DAIF
Full text linkHasbi Ash-Shiddieqy is a scholar, expert on Jurisprudence, expert on Tafsir Al-Quran, Hadith expert and Indonesian academic. Hasbi Ash-Shiddieqy is also a figure who is an expert in the field of Hadith, he has many views in the field of Hadith as well as on Daif Hadith. In addition, he is a prolific scholar who has ideas about Islam. In line with the main research, this study aims to find out an explanation of the steps of the Daif Hadith according to Hasbi Ash-Shiddieqy, to find out the views of Hasbi Ash-Shiddieqy and the ulama in responding to the Daif Hadith. The research method of this thesis is a type of qualitative research, the source of the research is to collect data that has been found previously so that it can be understood easily by the author which is very necessary so that it can be known related to Hasbi Ash-Shiddieqy's Thoughts on Daif Hadith. This research is also classified as library research, where the author will utilize data sources in the form of literature related to the discussion. Based on the results of the research conducted, it shows that in determining the authenticity of the Hadith Hasbi has his own opinion regarding the conditions for the acceptance of the Hadith Sanad which can be said to be Sahih, namely Ittisal al-sanad (continuation of the sanad), Shadb (safe from oddities or not contrary to a more sophisticated history), Congratulations from illat, All narrators are fair, All narrators are Dhabit. If any of these conditions fail then the Hadith becomes Daif. Regarding Daif Hadith, Hasby As-Shiddieqy argues that all scholars do not agree to allow Daif Hadith to be used as evidence to establish a law. Daif Hadith can only be used as a charity for the practice of Sunnah. Here it is emphasized that there are different definitions of practice with fadhail charity. Practice is the thing that is recommended to be done while the fadhail of charity is the virtue or reward after doing a deed
Perkembangan Peradaban Islam Masa Modern
Full text linkPeradaban Islam pada masa setelah tahun 1800 masih dapat digambarkan sebagai Islam modern saat ini. Banyak perkembangan dalam kehidupan Muslim terjadi selama periode ini, meliputi pendidikan, politik, perdagangan dan budaya. Seluruh perkembangan Islam terangkum dalam Sejarah Islam. Dalam penulisan ini penulis mengankat beberapa poin penting seperti sejarah pemikiran Islam pada zaman modern sampai kepada bidang-bidang dan peradaban apa saja yang berkembang pada masa itu.Tujuan dari penelitian ini adalah untuk memberikan gambaran kepada para pembaca mengenai situasi, kondisi, serta hal-hal apa saja yang menjadi bukti bahwa Islam adalah agama yang membuka jalan bagi terbukanya pola hidup modern. Dengan metode penelitian kepustakaan, kami mendapatkan hasil dari berbagai referensi, yaitu Sejarah Pemikiran dan Peradaban Islam Periode Modern (1800-Sekarang). Dengan demikian maka penting kiranya bagi para akademisi di zaman modern untuk melakuka penelitian lebih lanjut mengenai bukti-bukti bahwa Islam adalah agama yang dapat berbaur dan mampu menyesuaikan disetiap perkembangan zaman
0003
No full textDAILY PAI.O ALTO TIMES. s^illAV Al-Kll.
JDailt- paloHlto ttlmca ;
• < .....j-**-****-
PORCH SHADES
in all colors and
sizes—just received at
McKibben-Beal Co.
Phone 12
For Your Wants in This Line
.11 "—. ,
•'♦ ,;\s,,iim: ESgpl_, AMP I
• - I r ... lis.; l>iri.KSli:.VTH.
DO YOU KNOW li "« & Hea-terson |
. *'• Rspeelllleeaeahoee. aa— *
that any announcement printed in this
column reaches a vasl number of people
that could not be reached in any other
way? Prinl your message here and it
will teach the light person in a way
that will surpiise you.
peetflloeeeatvoee. __>
Blaekansttba.
1: . - Eneeeaoa He., of——sit. P. O. I
• RAYO LAMPS
J j (or -sale- by
:G H. Allen Oil Co
a! 020 Hlal. rUeee.. l-hone 17.
; i
M.CFORD. j
,S_cc«a*or to II. F. BELL) J
: :
• 212 University Ave.
Phone 12 •
WOOD, COAL
J1 \ Hay, Grain, Posdiry KappU-sa.
I -Tin r llniiullon mul Ita nan aa.
Telephone 00.
Wauted—Japanese cook wishes' •'ot Rami—Hon** of 7 room, in _ __ _ — .
..Idon Id »mall^axfl|-. Ma*. «2T f ^f.'""1 wndtUon: IS! Hamilton Wggg § lOOltrV K3flCB
■ Ramona «iri-**t. I'hone Palo Alio 193 arena*.
4-IO-lw
al flrsl gfanee* Public tin- average city. . (These remarks a-I»-lw- j ■__*' !" _|,. a-a.it -.'-. it.-,! N. •
I, . ,, , ror Rent — All* IIIII, on in* _,,-i ,.,,i„it v.mr i,!,i.- with choice
and pla«mu«Hle are w »Mdo not nppl* In Palo Alio la.-cai.se- W||||.(i(. ,-,..,.,,„,.,,,.,, ,„, wlth|D thi,,, ftoor of tb* Slmklna building. ^rS_____7^t^sta___-i aad
i. roundel el y ne.epled In (ha*, all department*, under (be- new char-'trti blocks of station, wilt t-ay cash In avail**!* for small meetings at a mit«-iaii*oe<* poultry, uraneec ao»
.Ule^i as ih*- pohllc *chwts'tr*r. have- been **<-ll H-shaged.)* For.for t.»rg-lij W, S. Vnn Cott, i-,2*.:reat.a! of 11.60 p«r meeUng. Kb- tru-a.*d. ready to cook. and<l*llv*rad
I Arch .-ir.-.-i l!.rfc-!-s 4-10-lw lulrw Tlmas oBc* .-7-tf ;_. >t>ur door- Order over pbone
1 "w^trt K*„i:i,., slte-allm. For Rant-Armory Hall, ^-««- Ranch located on Hamilton
of »r t**-r;
possibility.
Illirarlc* | (ha- •am- n-aaon It Is easy
— .it ihi- 1'ri.inwila l'lut.: "•'"■ lb*' « h ■"'* ln ,h**
htindrt-d meml-vr. mn>-' ",ld,t ot " P«hllr a-,uara* would ban-red a* well a* a V 11 C, A.
-I hit tiding or a private, club.
'"i"--""- *"- i"r— ■ |
_li i,f perhaps a thousand! The- modern high school building
>ar(lcl|ianla which might beiln ft_1 HHBH rexy close* lo ihe- Ideal
I I.) s tat of a half cent ODjf-r ■ pdbHc • .ul-h<iit»e It 1* **#ufr-
. .,,1 ;..,!..'.' ..,.,".,- -lantliil l.iillitli'.i;. *t|.m,- It. a-m-sved
-liferent time* diirlr.. UM '>' >>' doom for ftinls and fc and hat I
.,-..! .1,: ,'iiirl*. running Irm-ks nnd foothalli
, would ton "'' **-)**'bait field* Indoor*. be*!deo'
I V \l C * • in elil.-. Hie '»"•* - Ii«"*riHiiiir-. there ara* forfO
-lh 1,-itMln- nip—,"P foundry, a ■l-i-tloJi reading
t room, an aaaemhl) r„fim nnd nttipe,
*h>- r--a-.tl.ltlrv J\l a nmnl'-i- a movinx-Dlriure plant on a small
call l*;*e_J,r. a ttyninjaslmii |*erfa*Aly
In «hi, h iikIiII-' «'i|"*d, .-vi-n a *-wliiiiulne pool It)
id and .i».t»tant iim-r on «uli*. heated; new cnrtaln and sceiivry.
\|.;-lv M lilaii-i * Oa -M'f'l CoDfdon A Cromc. 210 fnlr
Ity ati-nii*- 1-1 f-4t S-17-lf
lisi loan of tl DM ,,r r°r H*ni- I-ow*r flat, hsih ..n
e.lse- Pain t'lo urni>-riT IM,m,' floor, (tillable for quiet p*©-
Addf**u i'',ii s Tnii-4 f1*- *l4: 30* Alaan *ire-rt. Apply
: ..,.'.- .-■(. Mrv-ni *rrc«i "t-ro-lm*
salon. I'alo Alto.'
Southern Pacific
Time Table.
.
■
i mi BAU
Pm .-=*:
bttltfj .iri-l -nr
For Rent—IJ wry stable corner,
Hah and llnralllon Apply 13l[ dn «ff«l Sorembef 14. IDIO )
ytloo -aa-enn*. J-;»-Jw» j r..„.r.l San F*a*arl*m.
(Vali-i
rial
IU :
it:
.'i.-.-l n* social renters durlnii Aim
In Mo- k
•*>! by I.ytton
miij.-r aarallon. and ai i.l«M alt- m-t
laerelt a*
i..I (',■»]...r aid
, a.-ar r.,,1.,,1 U
u-r .n***'i
eat aorlt don*
i aaenm-a. no
I'alo Alio Is neat (iki .mail lo owa-|nm
nhrancara.
AI'I-I*
10 Isaar fn*h-
MI-U-EiJ-AMHir*.
nretesi Ceaokers sare fnet. W. F. j JJo_ It
H-th *>T [ax. Sundayl .. i:20 a.m.
So 37 f;-S a.m
So. 39 (I.a.euioff.e-S.) 7:01 * ni
No 41 (ci. Sunday) ... f:U a.m.
No. 43 7141 a.m
So. 4:. t«X. Sunlayi ... 1:00 a.m.
So 17 1:31 am.
So :. S:l6 a.m.
No S3 (S. Crua dally).. 9:41 am
(Regular atop.)
s» tl ll:'3t a.m.
So. 49 11:01 pi-
So. 51 (dally) 3:30 p.m.
So it »:•! p.m.-
. 4:40 p.m.
all Mil
.-.! ,
Pa
ll
■ ■ ' ii.tt-u-.l!,!^
■-at t* to Hnd a
Kll flllll Kill-It,-1
ll.-i
i ■„, ,*no i* mu um .niaii *u *--■-» in, iininrani r*. Aiipiy io isaar ) run-, '""'"a * -.-_■-.*■, p .-,-- aaa... ... r. j-0jf bt 4:4* p.
a tilieh **Ihk.I imliilltiK larite ..imugh; »"*" eitaWltor ot (he a»iate. 909:1'onuebakar. :*3« Bm*r*on *ir«i. «fc j-, f.,e ,
' lo -err.- .* a mould,-.! center, mak- K"hl ''«'MIn-c. itan F*---*-*__tto. fal ; I'hone_S4CX_ I-H-tf ^ __ |;_g p<
Inn stud) and .•ae-a-lse and *rt.!_. "' . VACft'M CLKANINO- S. ('. Gib- jjo. 39 €:67 p.
„„ iiiiiiiea ,.U,l,,„n(„K and plavln. and alggly ■< £ ' »-■--.?«*- J^ S&TSuiK.' bSSttmSX: "* ^ <■«• <*■»» ' » = » •*-'
iimiililj-allt) a* rr«- io ria.an folk a* to tbe *•■• |,rll(II MaUlin 'iaii, aca**aaible uq. * Co i 13-9-tf B* «t 'Sunday oolyl . . 9:47 p.m,
<in. n nenM-japrtni for whom ihey loll, and ■*j„f,1a««rvt«;f Will .ubdlrMe' mtc-l-T.-.-. nmai^rr Ml-. n*,l ^ 21 10li »'"
be s-tffleleui tr**e lo taor* and girl* wlihnut means!thr.- fine hullrilng -M«- Apjilv fi_7l liA,R 8PI,CIAI.IST--Mlaa Bell. Vram ^ VnmrtBe^
Th- h...i-.M-Ma,,i i.,,,!,!.,,,, u the tor WoTJ n.**il I ilenanl Oor-: as t.i those* whnae parent* have been i Wiaaerley *(reot. l-fi-tf Randall. *»« Florenca 8t. Phone So sr -.„ , m
in*.*! pnlnjl mi-* io deal with. l**o- elW Wallace said la a pubih* more fortunate Inslead of Jamming *~*F~ »-,_ i;U)1, helglans :,:,"«'' I<!1" Prtp" °f Dr K' E McI-**n# (Santa Crni fla Pajara.)
p!e eannoi gel «hlle hAp. and other apawb that he (.artlrliiateil In ihei 41)0 yuung fNiitile Into a 300-pupII i'(„. • aienm* i-8-3w 3-ll-lm" ^ _s -«istllr> g:lS'a.n*.
-kinds are not readily aValUblg Ik- B-OM ......i*.ml.a! sdmJnlstrallon l-aa1 hulldtng. -hl# loan'.hould ha*re * -. ^ ., „,,,.,„ ,. , „ ,-„,„„, i ,.i i-.-m I'tii,- *...i.i>" r,,,,,,,. So. U :■ 0' am.
eau*e .if a lark ..f farlllles aahlrh Anpel--. -v.-r had. y.-i he could see, fully equl|i|ie<l I.H:li .ihnnl and then ,,inj**-: bawiniitul locati.in. lot 100-1 with bath, furnished for honsekeep- (Pne. Or. *ta 8. Crna.)
iiilnl.l.-r Io ihm ilit— Tin* ChlfMM "fi""' if "irlrt™i i„i,i„.-. methods make it serve for oiher purrs***-**, ;40; .heap for a**h Addrew* Roijing tf deslrt*d; (b«Op Address llox-! (Regular atop.)
awo-ooler dealrrs lo fer*-nl,h *nrt| a had*tie*-n apitlte-d to munla;l|ial nffalrs, atwi H Times olttif 4-8-la* I "- Time* ultti-*- I-I4-IW ' Sp ,4 >:(.j fc_fc
l.l,.-- . e lhat .Ingle -dmlnl.traili.n -*rnuld< It I* a (rue ..vlng lhat the great ' ;.'_ lU|o. |.J)(.ill, . rtu.-Sl..de- i;itsl.KT%l | No. 38 11:47a.m.
I Sl-nl" Park bar** balll a |*.ft0.-ifni eliy ball mil, *■*! evil <.r sealih Is It* segregative i,aker ,Kiny trap, for I' or I pe-rsona. — A 'No 40
' ' Ai-eaal Nr* Yaark life
,,!„,
•••il .P'llfc*-- rtilllene
city* savings.
do i
For Hale- 0«*P
i.uker pony trap, fu
The publle sebnoU draw rnbb-rr tired titOem
pie t.igethei
A municipal n*cre-
:-.0 Melallle aa*
Apply.
and If thill.I. (ha
egs*- (he-a might la.- allowOd to gr.ai around lhal **a.-rv Mm. aie tr
lo a M-i- nee-ilfiil ty *tt|p|i|y ih,. neiatA' i'alf'- an liidu.lry pr n iilensnr,
tnu-tiii.nl -alliumi lii*-i,llng Palo \U,i j'" llf ■a*MHlHtQ .lalrrn
We haae had no Irntthle since It../
very early daja when (he lorn- (*|rT
4-12-tf
I)h)ea*it6n ts made io the ,-*.t,-n-.ltin
iiiiiiilnier would go further low- Kor Hale .
uitlcl-ard keeping dnaan anlflrlal barrier* Huff Ondngto
, parkjol wealth Sodatilllly can he mu- ""•(*«*»■'""'
wi- nii-i|*itta<] and rn real I on made a Ktar Bala t'lu-n mldaai <■ roreet
H-r In lhe mlra- of dirty' pnhllr run.-tlon, hul It Involves a ■'< Palo Alio. In faablooatile locattoo,
III .„. .n„e.,l a, ,ai|,eellm,a.„ aeeee.,,, „, eoa.Uee. "'«>'». ™k ""Til "j"*', "l »»»'»'"*•»'* «" "" «"■*•■ «" "', „. ,
„u.„|e ls-„en„ ,„e l.w.able a,. ,„. ,,,„ „ e,„e. .'.i'l" *""" *"'""" ?J, VS"' '*— >»*» •''• '* " "" * """^ ' "
was |*erHiiaded nol to by jirj-a-nt -*iiii>* *nveit ihioush ereinoml-*-,.! ad-
■neatr*. - Inrliidlne (he .i*ynient^~*.r nitnl.trallnn, ww mu1llpt)'Mip|i.iriiiiil-
i*nme money lo g*-l oul. Since IhtnKlM for <U*in mid graft Thi* la a1
our onlj Chin*-*.- ,,iiari,-r* have been 1 peaslmlstle alee* •-> tafcc xtki -"t-
nn-tin- berry mm he* Im-Uis* town.' n*.-llon of *uih * |M».|lile result will!
These'peeiple eeem content to live lni«lepend u|«.n the hi>ne*tv and M-tr-
Ihe mn*l dismal and dilapidated Rnal jion-er of Die polIUojll l.-ail.-r-
abaek* that can lie* found Tl,i« "' <~ * "*■* ned Iwtier era
fart ta one'of Ihe .Irona drawbai-k.' Tli** iloaer a municipal enu-rprUe
to li.-ii'ltu: them In a town ... :,,.- la Intimate public tie,-,!, .(he
' ■ I better it i* Rkely lo l»- maeaxM
A H'lll.lC rt.l'lt. I ''nr ilil. reason the public llbrkrv I.'
The Id.-n, of dereloplBi and adoptV'beHkt mamlged thnn the pnhlle
Ing pinna fur a public Mfd-al rluti for KhOO-, the puhllc schools -than lhe
ma it u I tu de. ihe general depre- <lfn-_.
of
Ml
■ne*** and avarice
iit-ll.liiii.'in of a wldi
' Sale .il,'.I' in > i-lili-.H.iii
....—>. very * 1,,-.,- lo bu*lnee* dlstrlci
ersal rel- v,(( „,„(■„„,-,. adjoining lots held
rn about |100 a foot; lmpro\a*meub>
■ ••! aa new Make offer
.,.13:43 pm
So. 21 1:46 p.m.
In.uran.e (.ini-Miiy. ; (On flag for 8. Crni * Pae. Or.)
W Ihoroughbre-d THeplaaine- «t».. No *s j.jj pm
I No HO.1 Onrpef Sln-el. PUo -Atto, Cal. No so -_ 3:5 pm^
\Y~ S6 ISCruisi.Sun. I . 4:05 p.m.
.ire,-i One wain* all (he *oIids and) No 44 5:11 pm.
No. 4« (ex. Sunday) ... 1:04 p.m.
C:10 p.m.
t-l.'-tf ""'iSo. SO (ax. Sonday) . ..- 0:24 p.m.
hat any paper Is able to live at atl? | j*0 &: t:4i p m
No. i ioxdaa.L.U cuD 7:00 p.m.
It li
AN BDimBt PLAINT. »*"><•■ _, V™ i'*rllculars addr*-*
__,._, . „ , H"\ It. Time* offlce. 4-12-lf
i a i-et theory of the Sn>-lall.*<
l hear .he married bOMSth her."
Ya*s. her husband play* a wretched
aame ol bridge. '--Loul-tllle Courier
Journal
No. 51 .14 p.n
No. IS il-os Angeles) .. 9:03 p.n
No. SI fSan Joae) it:03 p.n
No to 12:47 p.n
Hartley Really Co. owner. I
. »
* progr.-..!*.- little* ejly like Palo
'Atto I* not ii. fntiilfut a* H .inlj-.H
Uua
*************************************************
Are You Satisfied
?
aalitch the I,,,,,-,
e.aan !>.■„, ,-.^mI a
hal (he press Is -.til-.ldlied and lhal
t refieet* ih>* tAMl »f mtnd of old
Mm Monevhag" ^Thls I* a highly
iilniiik.-n Id.-n. 'The pre** draw*
era Unie «utrt of an* kind from
li.ni linn. „r poopis Very often
hey are too . Mingy *o even suh- MIKh,re li-room hnngnlnw. lol :.0-
the city power acrlb. far (he paper. , .„ ta ,„„ „_„,,., lrail ,.,lV ,.„hi
bonkkeapln^ In IT lhere were any way of taking a b»I-nee *2S per mouth Apply llart-
- Iihoioftra-.h of ih.- puhiir- mind nnd lej ileal!) Co. owner. IST-SSI l'li>-
m knowing wBat type of i^i*er would '**" '"^iJln(: ''"L""
e come neareei to suiting It there ' For fab- -Choice .hry.anlhe-
• would he no lack of aiiomiii* to flit mum* plants. -*) imma per d..-.-n.
J the long-felt wnni. A* It'I*, an odL- T< :. i hone 6-11. 1-1 mw'
a tor Is eompoliod to find hul hy toag. |*nr flair 4 wagon* ga-*d for
• ri|s-*u|T« and un**tl*faclory ex[iert- 'amplng, 2 deliver) wagons mrwl.
• ment. what'hi* public wants . The ' "'hber-tlred WtTtf, I rubber*
: "■ - *» "•* ««He ,.-„'do.. ii'-r,,e'rb!e,?:-;!'.H.»':r™.0Aii",,-
e.noi know, li only knows afler try- . l-ll-IOt'
h1n« whether ll want* n „r "" '
InVrttmenl twrgallis in the In;- aeaB___^__^-_-____»________^__*_____-_a______^_MSS^«
nn.ved Hartley tract. ad]ololng '/ W "■ »■ ■ a 1111 P* a iiiihhiimmh*
"SSVSS • PALO ALTO LAUNDRY CO i
A LAL'SDRF THAT OO-SS HIGII-CLAK8 WORK AT LOW J
I'KICK-t. H.'ISK ( ll i mi Km; AND OKLIVKltRD PIttlMPTLT J
(III Emersoa Htreet. PHONA *■ *-lt
If y«li
wllb
.an-el f,.r''
If you ..wn jour .
1* dune .- you aef.h li
neaLe a garden yt.u it ,
Kuril tiling* rannot
• uimhI «f the landlot-l. naad
We bate tlie plan uli.-r-liy
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REMOVAL NOTICE
We m-i, to Infnrm our rs>te-toa-r. .-,,.1 il,, |.ul.:„ ,,, k, n, r.j
lhal *>n and after ne*| Monalay. April 17. IHI I. we will In- louiael
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In ii,, new l... .,i...i,
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The value of open-source clinical science in pandemic response: lessons from ISARIC
No full textInternational audienc
ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
Full text linkThe International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use
At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
No full textBy September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early recognition can help provide life-saving targeted anti-coagulation therapy right at admission. Using a dataset of more than 800,000 COVID-19 patients from an international cohort, we propose a cost-sensitive gradient-boosted machine learning model that predicts occurrence of PE and death at admission. Logistic regression, Cox proportional hazards models, and Shapley values were used to identify key predictors for PE and death. Our prediction model had a test AUROC of 75.9% and 74.2%, and sensitivities of 67.5% and 72.7% for PE and all-cause mortality respectively on a highly diverse and held-out test set. The PE prediction model was also evaluated on patients in UK and Spain separately with test results of 74.5% AUROC, 63.5% sensitivity and 78.9% AUROC, 95.7% sensitivity. Age, sex, region of admission, comorbidities (chronic cardiac and pulmonary disease, dementia, diabetes, hypertension, cancer, obesity, smoking), and symptoms (any, confusion, chest pain, fatigue, headache, fever, muscle or joint pain, shortness of breath) were the most important clinical predictors at admission. Age, overall presence of symptoms, shortness of breath, and hypertension were found to be key predictors for PE using our extreme gradient boosted model. This analysis based on the, until now, largest global dataset for this set of problems can inform hospital prioritisation policy and guide long term clinical research and decision-making for COVID-19 patients globally. Our machine learning model developed from an international cohort can serve to better regulate hospital risk prioritisation of at-risk patients
