Active Learning of Biostatistics in Medical Education: An Educational Intervention Using Algorithms, Article Analysis and SPSS Simulation. [PDF]
Quinapanta Castro NI +2 more
europepmc +1 more source
Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du +14 more
wiley +1 more source
Framing the reframing: empirical and theoretical foundations for moving from physically active learning to movement-centred pedagogy. [PDF]
Mandelid MB.
europepmc +1 more source
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning. [PDF]
Jansen SAH +8 more
europepmc +1 more source
A Master Class for European Hematology
Cheng Hock Toh +3 more
doaj +1 more source
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco +7 more
wiley +1 more source
Enhanced active learning Gaussian process metamodel for estimating the one-sided tail probability of nonlinear structural response. [PDF]
Wang Y, Huang Y, Huang Y, Yin W.
europepmc +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training. [PDF]
Song S, Wang X, Dong S, Jiang J.
europepmc +1 more source

