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Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN

Autor: Pasini, Massimiliano Lupo, Choi, Jong Youl, Mehta, Kshitij, Zhang, Pei, Rogers, David, Bae, Jonghyun, Ibrahim, Khaled Z., Aji, Ashwin M., Schulz, Karl W., Polo, Jorda, Balaprakash, Prasanna

We present our work on developing and training scalable, trustworthy, and energy-efficient predictive graph foundation models (GFMs) using HydraGNN, a multi-headed graph convolutional neural network architecture. HydraGNN expands the boundaries of gr

Externí odkaz: http://arxiv.org/abs/2406.12909

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Akademický článek

Comparison of Antimicrobial Efficacy of Garlic, Ginger, Cardamom Oil and Chlorhexidine against Streptococcus mutans: An In-vitro Study

Autor: Priyanka Singh, Laresh Mistry, Minakshi Bhattacharjee, VJ Kadam, Varsha M Jadhav, Ashwin M Jawdekar

Publikováno v: Journal of Clinical and Diagnostic Research, Vol 18, Iss 07, Pp 05-08 (2024)

Introduction: Essential herbs such as garlic, ginger, and cardamom have shown antimicrobial activity with no potential adverse effects and are cost-effective. Despite these advantages, the efficacy of these agents needs to be tested against common or

Externí odkaz: https://doaj.org/article/8eff6998fa2646818530b60b66d2f62c

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Akademický článek

Placenta previa: five year clinical outcome analysis from tertiary care centre in South India

Autor: Rashmi Polnaya, Ashwin M Polnaya

Publikováno v: New Indian Journal of OBGYN, Vol 9, Iss 2, Pp 288-292 (2023)

Aim: To study the incidence, risk factors, maternal, fetal and neonatal outcomes in placenta previa. Methods: This is a retrospective analysis of placenta previa cases who underwent caesarean section at Govt Lady Goschen Hospital, Mangalore from July

Externí odkaz: https://doaj.org/article/c99d6edf377244c683eb6480673ec789

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