Results 151 to 160 of about 28,026 (247)

Brincar a sério: Concepções das mães sobre a importância da actividade lúdica no desenvolvimento da criança

, 2006
Howorth, Ana Roman Navarro Stott
openalex   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Impact of loneliness on health in healthy populations: A meta-analysis. [PDF]

Br J Health Psychol
Zheng Y, Qualter P, Rollano C, Hu X, Martin A, Nukui M, Walibhai W, Maes M.   +7 more
europepmc   +1 more source

Intervenção terapêutica ocupacional com mães acompanhantes de recém-nascidos pré-termo hospitalizados: relato de experiência

P. Silva, A. Oliveira
openalex   +2 more sources

Validade do padrão de higiene bucal de crianças aos cinco anos de idade relatado pelas mães [PDF]

, 2011
Andréia Morales Cascaes, Karen Glazer Peres, Marco Aurélio Peres, Flávio Fernando Demarco, Iná S. Santos, Alícia Matijasevich, Aluísio J. D. Barros   +6 more
openalex   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Measurement Error and Power in Family-Based Extensions to Mendelian Randomization. [PDF]

Behav Genet
Castro-de-Araujo LFS, Singh M, Zhou YD, Vinh P, Maes HHM, Verhulst B, Dolan CV, Neale MC.   +7 more
europepmc   +1 more source

UM RETRATO DO ACOMPANHAMENTO DAS MÃES E BEBÊS NA UBS VILA DOS COMERCIÁRIOS DE PORTO ALEGRE-RS

, 2013
Isadora Damin, Maria Elisa Troglio Fróes, Bruna Montelli Lacerda, Helga Geremias Gouveia   +3 more
openalex   +1 more source

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

Dynamic changes in WIfI classification as a prognostic indicator for midterm outcomes in CLTI patients undergoing infrapopliteal endovascular revascularization. [PDF]

Eur J Med Res
Wu S, Guo J, Guo Z, Zheng J, Zheng H, Zhang F, Gao X, Gu Y, Guo L.   +8 more
europepmc   +1 more source