Results 131 to 140 of about 28,026 (247)

Left Subclavian Artery Revascularization With In Situ Laser Fenestration During Thoracic Endovascular Aortic Repair for Acute Complicated or High-Risk Type B Aortic Dissection: Results of the LLTEVAR Trial. [PDF]

J Am Heart Assoc
Peng Z, Liang S, Zhang R, Qiu P, Yin M, Liu G, Liu X, Lu X, Ye K.   +8 more
europepmc   +1 more source

Relações entre Coparentalidade, Envolvimento Parental e Práticas Parentais de Pais e Mães de Famílias Binucleares

, 2020
Fernanda Martins de Souza, Milena Carolina Fiorini, Maria Aparecida Crepaldi   +2 more
openalex   +2 more sources

O LUTO DE MÃES FRENTE AO DIAGNÓSTICO DE FILHO COM CÂNCER INFANTIL

, 2023
Adriano Matozo dos Santos, Luana Tobias de Souza, Paulo Claudino de Souza, Queila Maria da Silva, Francleia de Nazaré Correia, Chimene Kuhn Nobre   +5 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Breastfeeding self-efficacy in mothers in socioeconomic vulnerability: Situation-Specific Theory. [PDF]

Rev Bras Enferm
Torquato RC, Sales JMR, Lima LOC, Lopes MVO, Silva VMD, Barbosa LP.   +5 more
europepmc   +1 more source

Manejo do aleitamento materno de mães infectadas pelo vírus SARS-CoV-2: uma revisão integrativa

, 2020
Abilene do Nascimento Gouvêa, Talita Teresa Do Carmo   +1 more
openalex   +2 more sources

Avaliação da implantação do Método Canguru por gestores, profissionais e mães de recém-nascidos [PDF]

, 2012
Tarcísio Laerte Gontijo, César Coelho Xavier, Maria Imaculada de Fátima Freitas   +2 more
openalex   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Long-term fate of long QT syndrome patients diagnosed in childhood and differential effects of beta-blockers. [PDF]

Front Cardiovasc Med
Tavačová T, Kubuš P, Peldová P, Pavlíková M, Macek M, Krebsová A, Janoušek J.   +6 more
europepmc   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source