Results 181 to 190 of about 11,258,106 (297)

Welcoming couples into the Assisted Human Reproduction Program: developing educational technology based on the context. [PDF]

Rev Esc Enferm USP
Simor A, Peixoto IVP, Pamplona MCCA, Nascimento MHM, Lima FC, Valois RC, Santana ME, Teixeira E.   +7 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Key factors influencing educational technology adoption in higher education: A systematic review. [PDF]

PLOS Digit Health
Feng J, Yu B, Tan WH, Dai Z, Li Z.
europepmc   +1 more source

Retracted: Visual Resolve of Modern Educational Technology Based on Artificial Intelligence under the Digital Background. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Perspective: The Future of Educational Technology

Canadian Journal of Learning and Technology, 1988
Don Beckwith
doaj   +1 more source

Determinants of Educational Technology Acceptance: Medical Teachers' Perception. [PDF]

Med J Islam Repub Iran
Khamesi M, Mojtahedzadeh R, Bayazidi S, Mohammadi A.   +3 more
europepmc   +1 more source

Integrated Educational Technology in Teaching Anatomy Using the ASIC Framework: A Case Study from VinUniversity. [PDF]

Adv Med Educ Pract, 2023
Ha TM, Hoang D, Huynh CD, Huynh CD, Le L.   +4 more
europepmc   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Digital educational technology on LGBT-phobic bullying for school-aged adolescents. [PDF]

Rev Bras Enferm
Espíndola MMM, Araújo EC, Silva ATCSGD, Pereira DMR, Ramalho MNA, Oliveira TT, Paula WKAS, Sousa JC.   +7 more
europepmc   +1 more source