Results 251 to 260 of about 911,522 (334)

Stability of the Functional Equation Deriving From Quadratic Function in Banach Space

Amrit, Anil Kumar, Manoj Kumar
openalex   +2 more sources

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Immunomodulatory Effect of <i>Artemisia annua</i> L. Water Extract on Meat-Type Sheep via Activating TLR4/NF-κB Signaling Pathways. [PDF]

Animals (Basel)
Gang G, Gao R, Guo S, Xin Y, Jin X, Xing Y, Yan S, Xu Y, Shi B.   +8 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Effect of Water Extract of Artemisia annua L. on Growth Performance, Blood Biochemical Parameters and Intestinal-Related Indices in Mutton Sheep. [PDF]

Animals (Basel)
Gang G, Gao R, Tong M, Zhang S, Guo S, Jin X, Xing Y, Yan S, Xu Y, Shi B.   +9 more
europepmc   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Multiple imputation and pooling strategies for handling wide-format missing data in latent growth curve modeling. [PDF]

Front Psychol
Jia F, Yan Y.
europepmc   +1 more source

Quadratic functions

, 2013
Fábio Antonio Leão Sousa
openalex   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Dose- and Time-Dependent Effects of Cobalt Chloride Supplementation on Growth Performance and Intestinal Development in Weaned Piglets. [PDF]

Animals (Basel)
Wang M, Li S, Wang X, Zeng Y, Guo M, Wang Z, Yin L, Wang Q, Li J, Yang H.   +9 more
europepmc   +1 more source