Results 161 to 170 of about 1,291,053 (287)

Assessing Primary Care Physicians' Readiness for AI-Based Adaptive Learning: Perceptions, Barriers, and Learning Needs in Northern Saudi Arabia. [PDF]

Healthcare (Basel)
ALruwaili BF, Alruwili AN, Alruwaili AM, Alruwaili HS, Almutairi NA, Alruwaili TT, Alsirhani BT, Thirunavukkarasu A, Al-Ruwaili HI.   +8 more
europepmc   +1 more source

Designing and Implementing the Adaptive Learning Meeting Cycle: The (re)solve Project Experience in Burkina Faso. [PDF]

Glob Health Sci Pract, 2023
Trasi R, Angelone C, Hounkanrin G.
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Expert Systems in Foreign Language Training and Learning

Cakrawala: Jurnal Pendidikan
This paper examines the integration of expert systems in foreign language learning through a systematic literature review. Drawing from theories such as TPACK, Constructivism, and CALL, the study analyzes key features, methodologies, and applications of
Kseniya Sukhikh, Menshenina Svetlana
doaj  

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning. [PDF]

Clin Trials
Balzer LB, van der Laan MJ, Petersen ML.
europepmc   +1 more source

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer's Disease Classification. [PDF]

Brain Sci, 2023
Odusami M, Maskeliūnas R, Damaševičius R.   +2 more
europepmc   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source

Federated task-adaptive learning for personalized selection of human IVF-derived embryos. [PDF]

Commun Med (Lond)
Gao T, Yang Y, Wang K, Gao Y, Ma L, Chen L, Liu G, Zhang P, Liu X, Wang G.   +9 more
europepmc   +1 more source

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. [PDF]

Bioinformatics, 2023
Jiao S, Ye X, Ao C, Sakurai T, Zou Q, Xu L.   +5 more
europepmc   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source