An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
Online learning resources and social media platforms used by medical students during the COVID-19 pandemic. [PDF]
BMC Med Educ, 2023 Azer SA +5 more
europepmc +1 more source
CompendiumLD – a tool for effective, efficient and creative learning design [PDF]
, 2008 Developers and teachers go through a complex decision making process when designing new learning activities – working towards an effective pedagogical mix, combining resources, tools, student and tutor support.
Brasher, Andrew +5 more
core +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
A study on factors influencing Chinese undergraduate EFL learners' self-directed use of mobile English learning resources. [PDF]
Front Psychol, 2023 Shen F, Liang L, Feng Y.
europepmc +1 more source
HOW TO BETTER MEET OUR STUDENTSï¿1/2 LEARNING STYLE THROUGH THE COURSE RESOURCES [PDF]
Publishers of the course resources for business higher education are willing to help professors and instructors to develop the learning process. An important part of the learning process is affected by the each studentï¿1/2s learning style.
Moldovan Georgeta, Mutiu Alexandra
core
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
A scientometric analysis of global scientific literature on learning resources in higher education. [PDF]
Heliyon, 2023 Gomis MKS +4 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
A Curriculum Ignored? The Usage of Unofficial Commercial and Peer Learning Resources in Undergraduate Medical Education at a Canadian Medical School. [PDF]
Med Sci Educ, 2023 Makus D +3 more
europepmc +1 more source