Results 171 to 180 of about 224,776 (267)
ABSTRACT Preliminary studies suggest there are differences in the facial expressions produced by autistic and non‐autistic individuals. However, it is unclear what specifically is different, whether such differences remain after controlling for facial morphology and alexithymia, and whether production differences relate to perception differences ...
Connor T. Keating +3 more
wiley +1 more source
Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks. [PDF]
Hauffe T, Cantalapiedra JL, Silvestro D.
europepmc +1 more source
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco +11 more
wiley +1 more source
Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in Regression. [PDF]
Devadas RM, Hiremani V.
europepmc +1 more source
ABSTRACT Autism Spectrum Disorder (ASD) is characterized by certain difficulties in emotion‐related processing. Recent research using electroencephalography (EEG) to measure somatosensory evoked potentials during emotion perception has shown reduced embodiment of emotional expressions in autistic compared to neurotypical individuals, independently from
Martina Fanghella +5 more
wiley +1 more source
SGLT2 inhibitors and GLP‐1 receptor agonists modestly lower blood pressure across diverse patient populations, including those without diabetes. These effects appear largely independent of glycaemic control and offer additive value in high‐risk patients with overlapping comorbidities.
Andrej Belančić +7 more
wiley +1 more source
Abstract Aim Tacrolimus dosing in the early post‐kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism‐informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period ...
Hui Yu +4 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds. [PDF]
Liu Y, Meng X, Hu L, Bao Y, Hancock C.
europepmc +1 more source
Continual decision‐making dynamics across biological organisms
ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source

