Results 201 to 210 of about 3,227,937 (329)
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
Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification. [PDF]
Zhang Y, Zhang K, Hu P, Li D, Feng S.
europepmc +1 more source
Task 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
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
Identifying and subtyping dyscalculia in a sample of children with and without dyscalculia - a data-driven approach. [PDF]
Kißler C, Kuhn JT.
europepmc +1 more source
Carbonate sedimentology: An evolved discipline
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
Performance and energy optimization of ternary optical computers based on tandem queuing system. [PDF]
Zhang H +6 more
europepmc +1 more source
Task parallelism in constraint programming: parallel consistency
Rolf, Carl Christian +1 more
openaire +1 more source
Differentiable River Routing for End‐to‐End Learning of Hydrological Processes
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
Painting rich six-dimensional pictures using polarized fluorescence microscopy. [PDF]
Lew MD.
europepmc +1 more source

