Results 151 to 160 of about 517,540 (259)

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon. [PDF]

Front Sports Act Living
Staunton CA, Kårström A, Kock H, Laaksonen MS, Björklund G.   +4 more
europepmc   +1 more source

Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners. [PDF]

Scand J Med Sci Sports, 2022
Filipas L, Bonato M, Gallo G, Codella R.
europepmc   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Machine learning-based personalized training models for optimizing marathon performance through pyramidal and polarized training intensity distributions. [PDF]

Sci Rep
Qin G, Lee S, Kim S.
europepmc   +1 more source

The effect of training intensity on implicit learning rates in schizophrenia. [PDF]

Sci Rep, 2021
Orlov ND, Sanderson J, Muqtadir SA, Kalpakidou AK, Michalopoulou PG, Lu J, Shergill SS.   +6 more
europepmc   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

One Sprinter, Two Olympic Preparations: A Single-Athlete Longitudinal Observational Study of Training-Intensity Distribution and Implications for Future 50 m Events. [PDF]

Sports (Basel)
Papadimitriou K, Margaritelis NV, Tsalis G.   +2 more
europepmc   +1 more source

Quantification of Pre-Season and In-Season Training Intensity across an Entire Competitive Season of Asian Professional Soccer Players. [PDF]

Healthcare (Basel), 2022
Nobari H, Ramachandran AK, Brito JP, Oliveira R.   +3 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Recent advances in training intensity distribution theory for cyclic endurance sports: theoretical foundations, model comparisons, and periodization characteristics. [PDF]

Front Physiol
Sun Q, Yu Y, Cui J, Lin S, Wang X, Zhou T.   +5 more
europepmc   +1 more source