Results 111 to 120 of about 156,086 (209)

Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N‐Body Simulations

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz   +5 more
wiley   +1 more source

Incorporating Scale Uncertainty into Differential Expression Analyses Using ALDEx2

open access: yesCurrent Protocols, Volume 6, Issue 2, February 2026.
Abstract Differential abundance or expression analyses are routinely performed on metagenomic, metatranscriptomic, and amplicon sequencing data. In such datasets, analysts usually have no information regarding the true scale (i.e., size) of the microbial community or sample under study, with inter‐sample differences in sequencing depth instead being ...
Scott J. Dos Santos, Gregory B. Gloor
wiley   +1 more source

Seismic Structural Response and Loss Estimation for Dense Urban Districts Using Neural Network Parameterized Gaussian Process

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 2, Page 397-412, February 2026.
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi   +2 more
wiley   +1 more source

Cross‐Ancestry Polygenic Prediction: Comparing Methods and Assessing Transferability Across Traits

open access: yesGenetic Epidemiology, Volume 50, Issue 1, February 2026.
ABSTRACT Accurate prediction of disease risk and other complex traits across different populations is essential for clinical and research purposes. However, genetic differences among ancestries, such as allelic frequencies and genetic architecture, can affect the performance of polygenic risk score (PGS) methods in cross‐ancestry prediction. To address
Md. Moksedul Momin   +5 more
wiley   +1 more source

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