Zobrazeno 1 - 10
of 4 594
pro vyhledávání: '"Khorana A"'
Developing robust representations of chemical structures that enable models to learn topological inductive biases is challenging. In this manuscript, we present a representation of atomistic systems. We begin by proving that our representation satisf
Externí odkaz:
http://arxiv.org/abs/2409.15600
Autor:
Khorana, Rahul
We present a novel framework for learning on CW-complex structured data points. Recent advances have discussed CW-complexes as ideal learning representations for problems in cheminformatics. However, there is a lack of available machine learning meth
Externí odkaz:
http://arxiv.org/abs/2408.16686
Autor:
Khorana, Rohit
Given the critical roles that satellites play in national defense, public safety, and worldwide communications, finding ways to determine satellite trajectories is a crucially important task for improved space situational awareness. However, it is in
Externí odkaz:
http://arxiv.org/abs/2305.12286
Autor:
Tanyong Pipanmekaporn, Pakaros Kitswat, Prangmalee Leurcharusmee, Thanaporn Runraksar, Nutchanart Bunchungmongkol, Jiraporn Khorana, Apichat Tantraworasin, Panuwat Lapisatepun, Surasak Saokaew
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The CARDOT scores have been developed for prediction of respiratory complications after thoracic surgery. This study aimed to externally validate the CARDOT score and assess the predictive value of preoperative neutrophil-to-lymph
Externí odkaz:
https://doaj.org/article/7ddf6688a0c841dab438bb1faba4f63b
Publikováno v:
ClinicoEconomics and Outcomes Research, Vol 2013, Iss default, Pp 101-108 (2013)
Alok A Khorana,1 Mehul R Dalal,2 Jay Lin,3 Gregory C Connolly11Division of Oncology/Hematology, James P Wilmot Cancer Center, University of Rochester, Rochester, NY, 2sanofi-aventis US, Bridgewater, NJ, 3Novosys Health, Flemington, NJ, USABackground:
Externí odkaz:
https://doaj.org/article/5db8f504312f409db5297e24505286ce
Autor:
Patteera Aoonboontum, Pattravee Thong-on, Nakuntwalai Wisidsri, Suradwadee Thugmangmee, Tammanoon Rungsang, Nanthaka Khorana, Jukkarin Srivilai
Publikováno v:
Next Sustainability, Vol 5, Iss , Pp 100090- (2025)
This study focused on the development of an alternative and more environmentally friendly extraction solvent, a deep eutectic system (DES), for extracting indigoid pigments, specifically indigo and indirubin, from Baphicacanthus cusia (BC). BC is rec
Externí odkaz:
https://doaj.org/article/7f32794317bc45ecb758fa81fc030c60
Autor:
Sukhmani Khorana, Nisha Thapliyal
Publikováno v:
Frontiers in Sociology, Vol 9 (2024)
This article explores what “care” looks like in the specific context of Muslim refugees and asylum seekers within the dominant discourse of humanitarianism. India and Australia are chosen for this comparative analysis because our aim is to emphas
Externí odkaz:
https://doaj.org/article/d90e9801b14a4a8297a63a98a6a2e9f8
Autor:
Kajohnsak Noppakun, Apichat Tantraworasin, Jiraporn Khorana, Surapon Nochaiwong, Surachet Vongsanim, Phoom Narongkiatikhun, Karn Pongsuwan, Prit Kusirisin, Chalongrat Manoree, Chidchanok Ruengorn
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
Initiating dialysis therapy in elderly patients with end-stage kidney disease (ESKD) is a challenging decision. We aimed to examine the mortality rates among elderly patients who underwent hemodialysis, peritoneal dialysis, or comprehensive conservat
Externí odkaz:
https://doaj.org/article/4c37365272f94176a679fe32f68d0ce3
Publikováno v:
Social Media + Society, Vol 10 (2024)
This article reports on and analyses data from a situated and in-depth project on the experiences of six cisgender South Asian-Australian women/people who gave birth during the COVID-19 pandemic. Prior to the pandemic, negatively racialized women exp
Externí odkaz:
https://doaj.org/article/c2dc01e4dfb146ae883f3a6e114a112c
Autor:
Thejus T. Jayakrishnan, Naseer Sangwan, Shimoli V. Barot, Nicole Farha, Arshiya Mariam, Shao Xiang, Federico Aucejo, Madison Conces, Kanika G. Nair, Smitha S. Krishnamurthi, Stephanie L. Schmit, David Liska, Daniel M. Rotroff, Alok A. Khorana, Suneel D. Kamath
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-8 (2024)
Abstract The incidence of early-onset colorectal cancer (eoCRC) is rising, and its pathogenesis is not completely understood. We hypothesized that machine learning utilizing paired tissue microbiome and plasma metabolome features could uncover distin
Externí odkaz:
https://doaj.org/article/150a2e2940ab49e4998be67a42de3fe4