Results 161 to 170 of about 6,637,613 (296)

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

A model of situated professional learning in Singapore: Lessons learnt

The tripartite partnership between the National Institute of Education, Academy of Singapore Teachers, and schools provides the contextual and structural enablers to create a model of situated professional learning in Singapore.
Chang, Qizhong, Goh, Sao-Ee, Lee, Shu-Shing, Kalaivani Ramachandran   +3 more
core   +1 more source

A narrative review of advancing medical education through technology: the role of smart glasses in situated learning. [PDF]

BMC Med Educ
Ghavami Hosein Pour B, Karimian Z, Hatami Niya N.   +2 more
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Becoming a doctor: using social constructivism and situated learning to understand the clinical clerkship experiences of undergraduate medical students. [PDF]

BMC Med Educ
Cho H, Jeong H, Yu J, Lee J, Jung HJ.
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

Exploring Participation as a Mechanism of Domain-Specific Learning During Otolaryngology Clinical Clerkships

Advances in Medical Education and Practice
Teruyuki Sato,1,2 Kaoru Toshima,3 Fumi Shishido,3 Yutaka Tateda,1 Takahiro Suzuki,1 Naoya Noguchi,1 Muneharu Yamazaki,1 Akina Shirotori,1 Fumi Shoji,4 Shunsuke Kawamoto,5 Hirohito Metoki,6 Tomomitsu Miyasaka,2,3 Isao Ohno,2,3 Yoko Shimotani,7 Takaaki ...
Sato T, Toshima K, Shishido F, Tateda Y, Suzuki T, Noguchi N, Yamazaki M, Shirotori A, Shoji F, Kawamoto S, Metoki H, Miyasaka T, Ohno I, Shimotani Y, Tanaka T, Ohta N, Nakamura Y   +16 more
doaj  

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

Exploring a city: Understanding Situated Learning ExperienceS [Elektronisk resurs]

, 2011
This paper illustrates how a particular conceptualization of experience can be used to make sense of a range of situated and informal, learning activities.
Canova Calori, Ilaria,, Divitini, Monica,, Rossitto, Chiara,   +2 more
core  

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source