Results 71 to 80 of about 635,362 (294)
Advanced Science, EarlyView.ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Objective Bayes estimation and hypothesis testing : the reference-intrinsic approach [PDF]
, 2005 Conventional frequentist solutions to point estimation and hypothesis testing typically need ad hoc modifications when dealing with non-regular models, and may prove to be misleading.
Juárez, Miguel A.
core
Advanced Science, EarlyView.Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin +9 more
wiley +1 more source
Genetics Selection Evolution, 2010 Background It has been argued that multibreed animal models should include a heterogeneous covariance structure. However, the estimation of the (co)variance components is not an easy task, because these parameters can not be factored out from the inverse
Cantet Rodolfo JC +1 more
doaj +1 more source
Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates
Advanced Science, EarlyView.Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta +3 more
wiley +1 more source
Dopamine, affordance and active inference.
PLoS Computational Biology, 2012 The role of dopamine in behaviour and decision-making is often cast in terms of reinforcement learning and optimal decision theory. Here, we present an alternative view that frames the physiology of dopamine in terms of Bayes-optimal behaviour.
Karl J Friston +9 more
doaj +1 more source
A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors
Sensors, 2014 Activity recognition for the purposes of recognizing a user’s intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone.
Manhyung Han +4 more
doaj +1 more source
Advanced Science, EarlyView.A nuclear‐pore‐inspired nested dual‐loop architecture redistributes electromagnetic energy through coupled transport, confinement, and dissipation pathways. Integrated with Co/Fe3O4 dual‐magnetic composites and topology optimization, the 11‐mm‐thick absorber delivers continuous 2–40 GHz attenuation, raises finite‐band structural utilization to 82%, and
Shaokang Liu +6 more
wiley +1 more source
A conditional Bayesian approach for testing independence in two-way contingency tables
Kuwait Journal of Science, 2013 Bayesian methods for exact small-sample analysis with categorical data in contingency tables are considered. Point null hypotheses versus two-sided hypothesis are tested concerning log odds ratios in these tables with fixed row margins. The conditional
Z. SABERI, M. GANJALI
doaj
Advanced Science, EarlyView.Schematic illustration of ROS‐responsive TSPBA‐PVA microspheres loaded with 20‐deoxyingenol (TP/20‐DOI) for diabetic corneal wound healing: (a) fabrication and ROS‐triggered release; (b) autophagy activation and metabolic reprogramming in macrophages; (c) suppression of macrophage‐derived CXCL3/CXCL5, attenuation of neutrophil infiltration, and ...
Jiaxin Wu +20 more
wiley +1 more source