Results 221 to 230 of about 12,216,257 (290)

Next-Generation Techniques in Orthopaedic Teaching and Learning. [PDF]

J Orthop Case Rep
Jeyaraman M, Jeyaraman N, Nallakumarasamy A, Shyam A.   +3 more
europepmc   +1 more source

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

Advanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum, Vinavadini Ramnarain, Nathaly Ortiz Peña, Dris Ihiawakrim, Clément Sanchez, Ovidiu Ersen   +5 more
wiley   +1 more source

Deep learning-based gait phase detection using shank-mounted IMU data: Classification approach. [PDF]

PLoS One
Choi W, Choi MT.
europepmc   +1 more source

EANF learning report 2: building alliances [PDF]

, 2016
Bennett, Ellen, Damm, Christopher, Dayson, Christopher, Pearson, Sarah, Wells, Peter   +4 more
core  

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

Advanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Complete Issue Volume 11 Issue 3

Journal of the Scholarship of Teaching and Learning, 2012
Editor, Journal of the Scholarship of Teaching and Learning
doaj  

Blended learning and student engagement: a case of undergraduate business students in Nepal. [PDF]

Front Psychol
Nepali S.
europepmc   +1 more source

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source