Results 111 to 120 of about 28,026 (247)
Analysis of Multiscale Condensation Phenomena Using a Zero‐Shot Computer Vision Framework
A zero‐shot computer vision framework quantifies multiscale condensation dynamics by automatically segmenting droplets and extracting physical parameters without labeled data. The workflow integrates data mining and statistical analysis to reveal droplet growth, coalescence statistics, and sweeping behaviors, enabling label‐free measurement of heat ...
Donghyeong Lee +5 more
wiley +1 more source
Abordagem terapêutica grupal com mães de crianças portadoras de distúrbios de linguagem [PDF]
Fernanda Marafiga Wiethan +2 more
openalex +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
SENTIDOS DE DESACOLHIMENTO DE MÃES SOCIAIS DOS SISTEMAS DE CASAS LARES [PDF]
Paulo André Sousa Teixeira +1 more
openalex +1 more source
MnRhP has been identified as a novel kagomé magnet that hosts magnetic skyrmions above room temperature and exhibits a large intrinsic anomalous Hall effect. The latter originates from Berry curvature associated with gapped nodal lines, establishing MnRhP as a promising platform for exploring high‐temperature topological phenomena in both real and ...
Kosuke Karube +9 more
wiley +1 more source
Objetivou-se descrever as percepções do enfermeiro em relação ao manuseio do copo pelas mães na alimentação do recém-nascido, em unidade neonatal. Estudo qualitativo, realizado em uma unidade neonatal de um hospital universitário do município do Rio de ...
Sandra Teixeira de Araújo Pacheco +5 more
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Mães acadêmicas durante e após a pandemia de COVID-19 [PDF]
Júnia Aparecida Laia da Mata +1 more
openalex +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Sentimentos e expectativas vivenciados pelas adolescentes ao se tornarem mães: nota prévia [PDF]
Jéssica Rodrigues Silveira +5 more
openalex +1 more source

