Results 71 to 80 of about 51,247 (314)
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
GAM on! Six ways to explore social complexity by combining games and agent-based models [PDF]
GAM, combining games and agent-based models, shows potential for investigating complex social phenomena. Games offer engaging environments generating insights into social dynamics, perceptions, and behaviours, while agent-based models support the ...
Meyer, Ruth +18 more
core +1 more source
Current genome‐reduction methods work in a trial‐and‐error fashion, constituting a long‐standing bottleneck in the research. We developed CREAT (CRISPR‐based genome trimming with a multi‐homology‐arm template), a CRISPR‐based genetic approach that enables systematically classifying essential versus non‐essential genomic regions and subsequently ...
Guanhua Yuan +7 more
wiley +1 more source
Prediction results of GAM model. [PDF]
(A) GAM testing plot with Min-Max Accuracy 0.82, RMSE 3.96 and SD 3.97, (B) GAM training plot with-Min Max Accuracy 0.87, RMSE 2.59 and SD 3.97, (C) GAM test residual plot with Min-Max Accuracy 0.82, RMSE 3.96 and SD 3.97 (R package ggplot2).
Yuepeng Song (410775) +6 more
core +1 more source
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Effectiveness of intermittent hypoxia on muscle recovery in rats: A systematic review
This systematic review of animal studies evaluated intermittent hypobaric hypoxia (IHH), cold exposure, and their combinations, with or without exercise, on skeletal muscle recovery. IHH enhanced muscle regeneration, reduced fibrosis, improved contractile force, and maintained oxidative capacity, while cold exposure increased mitochondrial activity but
Sebastian Philippe Hansen Quiblier +3 more
wiley +1 more source
Perivascular Spaces as Determinants of Amyloid, Tau, and Vascular Biomarker Progression
Objective Magnetic resonance imaging (MRI)‐visible enlarged perivascular spaces (PVS) are markers of cerebral small vessel disease (SVD) and aging, processes implicated in both neurodegenerative and cerebrovascular pathologies. However, longitudinal positron emission tomography (PET) studies examining PVS as a mechanism underlying Alzheimer's disease ...
Audrey Low +11 more
wiley +1 more source
Distribution of Big Tau Isoforms in the Human Central and Peripheral Nervous System
Objective Tau is widely studied in neurodegeneration, yet most work has focused on canonical brain tau isoforms. A longer isoform, “big tau,” produced by inclusion of exon 4a, is expressed in the peripheral nervous system (PNS) and central nervous system (CNS) regions.
Rama Krishna Koppisetti +17 more
wiley +1 more source

