Results 201 to 210 of about 1,411,732 (246)

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Anatomy of moist heatwaves in India during the summer monsoon season. [PDF]

Clim Dyn
Deoras A, Turner AG, Lekshmi S, Birch CE, Volonté A, Menon A, Schiemann RKH, Wilcox LJ.   +7 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip

Advanced Intelligent Discovery, EarlyView.
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang, Qiankun Yin, Qingxin Liu, Zhejun Xu, Ye Zhang, Christopher Vega‐Sánchez, Xiaochen Liu, Daniele Vigolo, Jiao Jiao Li, Ken‐Tye Yong   +9 more
wiley   +1 more source

Indigenous Innovation in Orthopedic Robotics: Making Joint Replacement Affordable in India. [PDF]

J Orthop Case Rep
Aneja K, Machaiah PK, Shyam A.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Reply to Roepe, "The collective creativity of Drs. Baro, Pooput, and Callaghan". [PDF]

Antimicrob Agents Chemother
Junaid IT, Panda A, Deshmukh A, Sardar R, Narwal M, Agrawal P, Prakash N, Akhtar A, Dey AK, Singh SS, Mridha S, Mochi J, Parveen S, Kumar M, Nagar R, Gaur N, Gupta D, Mohmmed A, Kaur I, Karmodiya K, Malhotra P.   +20 more
europepmc   +1 more source

Electrohydrodynamic Fiber Pump With Dual‐Flow Channels

Advanced Intelligent Systems, EarlyView.
A dual‐channel electrohydrodynamic (EHD) fiber pump is introduced, which enables fluid flow inside and outside fully exposed helical electrodes. The dual‐channel design significantly enhances flow rate, pressure, and efficiency compared with the conventional design.
Yuya Shibahara, Rudrajyoti Das, Naoki Ogawa, Hideko Akai, Jun Shintake   +4 more
wiley   +1 more source