Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Avik Pal"'
Autor:
Chitthavalli Y. Harshith, Avik Pal, Monoswi Chakraborty, Ashwin Nair, Steffi Raju, Padubidri V. Shivaprasad
Publikováno v:
Cell Reports, Vol 43, Iss 7, Pp 114515- (2024)
Summary: Wounding is a general stress in plants that results from various pest and pathogenic infections in addition to environment-induced mechanical damages. Plants have sophisticated molecular mechanisms to recognize and respond to wounding, with
Externí odkaz:
https://doaj.org/article/7744b27ed2fb4252b3d8496d64aef458
Autor:
Nadina Jose, Avik Pal
Publikováno v:
Journal of Medicine, University of Santo Tomas. 6:1018-1020
A clinical study with 46 participants was started and completed at the height of the Covid-19 pandemic with the use of decentralized clinical trial (DCT) methodologies. All participants and the study team remained safe and were able to conduct the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9d671ab4c03596a389285e2a5012e0
https://doi.org/10.35460/2546-1621.2022-0052
https://doi.org/10.35460/2546-1621.2022-0052
Autor:
Ranjan Anantharaman, Anas Abdelrehim, Anand Jain, Avik Pal, Danny Sharp, null Utkarsh, Alan Edelman, Chris Rackauckas
Publikováno v:
IFAC-PapersOnLine. 55:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b58e3b097d8f5827181cc2cbd3f3d55
https://doi.org/10.1016/j.ifacol.2023.01.004
https://doi.org/10.1016/j.ifacol.2023.01.004
Akademický článek
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Nitrate-dependent regulation of miR444-OsMADS27 signalling cascade controls root development in rice
Autor:
Kannan Pachamuthu, Vivek Hari Sundar, Anushree Narjala, Rahul R Singh, Soumita Das, Harshith C Y Avik Pal, Padubidri V Shivaprasad
Publikováno v:
Journal of experimental botany. 73(11)
Nitrate is an important nutrient and a key signalling molecule for plant development. A number of transcription factors involved in the response to nitrate and their regulatory mechanisms have been identified. However, little is known about the trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecad863600cf51f47b328bf32cf75a98
https://pubmed.ncbi.nlm.nih.gov/35243491
https://pubmed.ncbi.nlm.nih.gov/35243491
Autor:
U. Utkarsh, Ranjan Anantharaman, A. Abdelrehim, Christopher Rackauckas, Avik Pal, D. Sharp, Anand Jain
Quantitative systems pharmacology (QsP) may need to change in order to accommodate machine learning (ML), but ML may need to change to work for QsP. Here we investigate the use of neural network surrogates of stiff QsP models. This technique reduces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50e42a2af8bfce045ea6fa33fc607c20
https://doi.org/10.1101/2021.10.10.463808
https://doi.org/10.1101/2021.10.10.463808
Autor:
Viral B. Shah, Christopher R. Laughman, Avik Pal, Ranjan Anantharaman, Christopher Rackauckas, Shashi Gowda, Yingbo Ma, Maja Gwozdz, Francesco Martinuzzi, Anand Jain, Elliot Saba, Utkarsh Rajput, Alan Edelman
Publikováno v:
Linköping Electronic Conference Proceedings.
In this paper we introduce JuliaSim, a high-performance programming environment designed to blend traditional modeling and simulation with machine learning. JuliaSim can build accelerated surrogates from component-based models, such as those conformi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd6d9e5b300ceaccf070f4b090833ba3
https://doi.org/10.3384/ecp2118197
https://doi.org/10.3384/ecp2118197
Publikováno v:
SemEval@ACL/IJCNLP
Humor and Offense are highly subjective due to multiple word senses, cultural knowledge, and pragmatic competence. Hence, accurately detecting humorous and offensive texts has several compelling use cases in Recommendation Systems and Personalized Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d409986a14f280ac2d06a608074e4f8
https://doi.org/10.18653/v1/2021.semeval-1.36
https://doi.org/10.18653/v1/2021.semeval-1.36
Autor:
Aniket Das, Avik Pal
TorchGAN is a PyTorch based framework for writing succinct and comprehensible code for training and evaluation of Generative Adversarial Networks. The framework's modular design allows effortless customization of the model architecture, loss function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b093580193608cb8ad253f9c9ba5cda8
http://arxiv.org/abs/1909.03410
http://arxiv.org/abs/1909.03410
Autor:
Aydan Mehralizade, Pamela Nettles-Gomez, Chad M Coleman, Christina P.C. Borba, Shayna H Schor, David C. Henderson, Sarah Crane, Christy A. Denckla, Claire E. Oppenheim, Snezana Milanovic, James Wolff, Avik Pal
Publikováno v:
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol 5, Iss 10, p e152 (2017)
JMIR mHealth and uHealth, Vol 5, Iss 10, p e152 (2017)
This paper explores the potential benefits of the use of mobile health (mHealth) apps in obstetrician-gynecologist (OB-GYN)-embedded psychiatric clinics in the United States. First, we highlight the increasing trend of integrating mental health care
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80fbd758cb51d7852f92e6e5cfac2f3a
http://europepmc.org/articles/PMC5650672
http://europepmc.org/articles/PMC5650672