Results 171 to 180 of about 28,026 (247)

Maternagem ao recém-nascido cirúrgico: bases para a assistência de enfermagem

Revista Brasileira de Enfermagem
O estudo objetivou compreender como se dá a maternagem na presença da cirurgia neonatal. Trata-se de uma pesquisa qualitativa, realizada a partir do método história de vida entre dezoito mulheres-mães de recém-nascidos submetidos a cirurgias.
Adriana Teixeira Reis, Rosângela da Silva Santos   +1 more
doaj  

Psychometric Evaluation of the Attune & Stimulate-Checklist for Assessing the Emotional State of People With Severe to Profound Intellectual Disabilities. [PDF]

J Appl Res Intellect Disabil
Doodeman TWM, Schuengel C, Sterkenburg PS.   +2 more
europepmc   +1 more source

Instituto Fernandes Figueira: um século dedicado a mães, crianças e adolescentes [PDF]

Luiz Antônio Teixeira, Larissa Velasquez de Souza   +1 more
openalex   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Impact of Atrial Fibrillation on the Outcome of Patients with Brugada Syndrome: A Meta-Analysis. [PDF]

J Cardiovasc Dev Dis
Aboutorabi M, Ahmad M, Bray JJH, Gomes DA, Providencia R.   +4 more
europepmc   +1 more source

A creche e as famílias: o estabelecimento da confiança das mães na instituição de educação infantil [PDF]

, 2014
Isabel de Oliveira e Silva
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Transitional experiences of mothers of children with special health needs in breastfeeding. [PDF]

Rev Bras Enferm
Sá ACS, Góes FGB, Souza AN, Silva LJD, Silva ACSSD, Moraes JRMM, da Silva LF, Porto FR.   +7 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source