Results 201 to 210 of about 3,227,937 (329)

Pre‐ and post‐diagnostic meat intake in relation to risk of recurrence and mortality among individuals with stage I–III colorectal cancer

open access: yesInternational Journal of Cancer, Volume 158, Issue 4, Page 895-908, 15 February 2026.
What's new? Processed meat and unprocessed red meat intakes are associated with increased colorectal cancer risk. However, evidence on their associations with mortality after colorectal cancer diagnosis is inconsistent. This study examined associations between three meat types, including unprocessed poultry, and the risk of recurrence and all‐cause ...
Anne‐Sophie van Lanen   +20 more
wiley   +1 more source

Task Mapping Strategies for Task-based Parallel Execution

open access: yesTask Mapping Strategies for Task-based Parallel Execution
修士論文あるいは修士論文要旨 (Summary of Thesis(MR))
openaire  

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

Carbonate sedimentology: An evolved discipline

open access: yesThe Depositional Record, Volume 12, Issue 1, February 2026.
Abstract Although admired and examined since antiquity, carbonate sediment and rock research really began with Charles Darwin who, during a discovery phase, studied, documented and interpreted their nature in the mid‐19th century. The modern discipline, however, really began after World War II and evolved in two distinct phases.
Noel P. James, Peir K. Pufahl
wiley   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet   +3 more
wiley   +1 more source

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