Results 201 to 210 of about 3,607,197 (285)

Evaluation of deep learning architectures for predicting ligand interactions with neurologically relevant GPCRs. [PDF]

J Cheminform
Dey S, Lu P, Wallqvist A, AbdulHameed MDM.   +3 more
europepmc   +1 more source

A Three‐Parameter Continuum Timoshenko Beam Framework for Evaluating Higher‐Mode Effects in High‐Rise Buildings With Rotational and Translational Base Flexibility

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Higher‐mode effects can significantly amplify seismic demands in high‐rise buildings, causing unintended damage over the building height. Engineered mechanisms are introduced at the base of these structures to mitigate higher‐mode effects. Existing continuum formulations for base‐flexible buildings commonly idealize the superstructure as a ...
Mohammad Hossein Asadi Jafari, Jianhui Zhou, Fei Tong   +2 more
wiley   +1 more source

Effects of Model Choice, Corpus Context, and Post Hoc Correction on Layer-Level Embedding Degradation in Clinical Document Retrieval: Experimental Study. [PDF]

JMIR Med Inform
Mikkelsen Y.
europepmc   +1 more source

A Multi‐Software Approach to Assessing Photovoltaics Integration in Modern Enovoltaic Systems

Energy Science &Engineering, EarlyView.
Robust eno‐PV design methodology applied to a real case study Multi‐software 3D model developed to optimize PV panels‐vineyard configuration Energy yield nearly independent of tracker height, but reduced by wider row spacing Grape productivity improving with height and decreasing with spacing Energy generation and grape yield balanced by tuning PV ...
Erika Stracqualursi, Gianfranco Di Lorenzo, Rodolfo Araneo, Francesco Grimaccia   +3 more
wiley   +1 more source

pLAST-a tool for rapid comparison and classification of bacterial plasmid sequences. [PDF]

Bioinformatics
Krakowski K, Orlowska M, Kaminski K, Bartosik D, Dunin-Horkawicz S.   +4 more
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

Automated Health Care Thematic Analysis Using a Multiagent Large Language Model: Algorithm Development and Evaluation Study. [PDF]

J Med Internet Res
Xu Q, Amjad N, Giles G, Cumming A, Hermesky D, Wen A, Kwak MJ, Kim Y.   +7 more
europepmc   +1 more source

A Comprehensive Review of Fault‐Current Limiter Technologies for Smart and Resilient Power Systems

Energy Science &Engineering, EarlyView.
This review compares superconducting, solid‐state, and hybrid fault‐current limiters (FCLs) for modern alternating current, direct current, and hybrid grids. It shows that optimal FCL selection depends on fault characteristics, network configuration, voltage level, protection coordination, and resilience requirements rather than on a universally ...
Abdelrahman Farghly, Eslam Essam, Hilmy Awad, Samia Abdelfatah, Walid Issa, Abdallah M. Hamada   +5 more
wiley   +1 more source