Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Kaustubh Kulkarni"'
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/a3f62d83ec1b469c9c836a83aa37d4b9
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/d5920a9bb6ff49aba158ee07e0507907
Autor:
Sharda Kulkarni, Kaustubh Kulkarni
Publikováno v:
Amrita Journal of Medicine, Vol 19, Iss 2, Pp 94-95 (2023)
Externí odkaz:
https://doaj.org/article/91137eaee6c9488cba4c32c6fa37c706
Autor:
Anastasia Shuster, Madeline O’Brien, Yi Luo, Laura A. Berner, Ofer Perl, Matthew Heflin, Kaustubh Kulkarni, Dongil Chung, Soojung Na, Vincenzo G. Fiore, Xiaosi Gu
Publikováno v:
Translational Psychiatry, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract Crises such as the COVID-19 pandemic are known to exacerbate depression and anxiety, though their temporal trajectories remain under-investigated. The present study aims to investigate fluctuations in depression and anxiety using the COVID-1
Externí odkaz:
https://doaj.org/article/34f715cc42de4bffa0577ca21b15d6e4
Autor:
Vincenzo G Fiore, Nicholas DeFelice, Benjamin S Glicksberg, Ofer Perl, Anastasia Shuster, Kaustubh Kulkarni, Madeline O'Brien, M Andrea Pisauro, Dongil Chung, Xiaosi Gu
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0247614 (2021)
Efficient contact tracing and testing are fundamental tools to contain the transmission of SARS-CoV-2. We used multi-agent simulations to estimate the daily testing capacity required to find and isolate a number of infected agents sufficient to break
Externí odkaz:
https://doaj.org/article/e46f0a13f4574003956014043aeba3fa
Publikováno v:
Materials Today: Proceedings. 72:1236-1239
Autor:
Huamin Ren, Nattiya Kanhabua, Andreas Møgelmose, Weifeng Liu, Kaustubh Kulkarni, Sergio Escalera, Xavier Baró, Thomas B. Moeslund
Publikováno v:
IET Computer Vision, Vol 12, Iss 4, Pp 484-491 (2018)
Transfer learning aims at adapting a model learned from source dataset to target dataset. It is a beneficial approach especially when annotating on the target dataset is expensive or infeasible. Transfer learning has demonstrated its powerful learnin
Externí odkaz:
https://doaj.org/article/9346ae7bd2b54aa98bc774bbbfe5030e
Autor:
Kaustubh Kulkarni
Publikováno v:
Cancer Research, Statistics, and Treatment, Vol 4, Iss 3, Pp 596-597 (2021)
Externí odkaz:
https://doaj.org/article/75ab472682b945df83bb00e0196f2f7c
Publikováno v:
SAE Technical Paper Series.
Interdiffusion analysis in multicomponent alloy systems plays a pivotal role in controlling various processes and in designing materials. Interdiffusion of elements also leads to changes in microstructure and properties during service, especially for
Publikováno v:
Materials Today: Proceedings. 56:3446-3449