Results 81 to 90 of about 444 (254)

Triage in an adult emergency service: patient satisfaction

open access: yesRevista da Escola de Enfermagem da USP, 2016
OBJECTIVE Assess the degree of patient satisfaction with triage in the adult emergency service of a public hospital. METHOD Exploratory, descriptive, cross-sectional study with a quantitative approach.
Pollyane Liliane Silva   +4 more
doaj   +1 more source

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

open access: yesAdvanced 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

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

open access: yesBritish Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright   +8 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

(Re) Constructing scenarios for action in mental health in the Family Health Strategy [PDF]

open access: yesRevista Brasileira em Promoção da Saúde, 2011
Objectives: To assess the interaction between mental health and primary care, as well as analyze if these services enable the embracement process and reintegration of users in family and community.
José Ferreira Lima Júnior   +3 more
doaj  

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

User embracement: expectations of the mental health professionals

open access: yes, 2010
This study had as objective to identify the expectations of the mental health professional from the Psychosocial Attention Center, the city of São Paulo, as regards the implantation of a 24-hours service (user embracement). This is about a descriptive research that is characterized by the direct interrogation of the individuals about the meaning that a
Okazaki, Christiane   +4 more
openaire   +1 more source

O conceito de acolhimento em ato: reflexões a partir dos encontros com usuários e profissionais da rede

open access: yesSaúde em Debate
RESUMO Este artigo tem como objetivo analisar e problematizar os sentidos atribuídos por profissionais e usuários da Rede de Atenção Psicossocial (Raps) de Porto Alegre/RS às práticas de acolhimento.
Moises Romanini   +2 more
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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