Impact of mental and physiological fatigue on attentional focus in basketball players: a systematic review. [PDF]
Zhu C, Li X, Liu S.
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
A novel integrated training program for police pistol use across multiple operational scenarios: a randomized controlled trial of integrated psychological skill. [PDF]
Liang X, Ji C, Wang Y, Cao L.
europepmc +1 more source
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet +8 more
wiley +1 more source
Visual search characteristics in two-way skeet shooters of different performance levels during simulated target viewing. [PDF]
Gao D, Ma X.
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Impact of visual attention training on visual control and 3-point field goal percentage in semi-professional basketball players. [PDF]
Zhang X, Li W, Zhao C.
europepmc +1 more source
Motor capabilities and their relationship to the accuracy of basketball shooting
openaire +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Differential shooting training in youth basketball players: an analysis of performance effects. [PDF]
Burkaitė G +4 more
europepmc +1 more source

