Results 161 to 170 of about 168,521,757 (307)

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

In situ simulation-based team training and its significance for transfer of learning to clinical practice-A qualitative focus group interview study of anaesthesia personnel. [PDF]

BMC Med Educ, 2023
Finstad AS, Aase I, Bjørshol CA, Ballangrud R.   +3 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

Technology-Enabled Learning [PDF]

, 2019
COL’s technology-enabled learning (TEL) initiative aims to increase access to quality teaching and learning by supporting policy formulation and innovation in the application of ICT in education, and the development of ICT skills.
Commonwealth of Learning
core  

Implementing Person-Centered Recovery Planning: New England Mental Health Technology Transfer Center Learning Collaborative Evaluation Report. [PDF]

Glob Implement Res Appl, 2023
Stanojlović M, O'Connell M, Asby D, Lanteri S, Davidson L, Tondora J.   +5 more
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

A method of correlating heat transfer data for surface boiling of liquids

, 1951
A method based an a logical uxplanation of the meani of beat transfer associated with the boiling process is presented for correlating heat transfer data for nucleate boiling of liquids for the case of pool boiling.
Rohsenow, Warren M.
core  

Transfer from spatial education to verbal reasoning and prediction of transfer from learning-related neural change. [PDF]

Sci Adv, 2022
Cortes RA, Peterson EG, Kraemer DJM, Kolvoord RA, Uttal DH, Dinh N, Weinberger AB, Daker RJ, Lyons IM, Goldman D, Green AE.   +10 more
europepmc   +1 more source

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

Revisiting Transfer Functions: Learning About a Lagged Exposure-Outcome Association in Time-Series Data. [PDF]

Int J Public Health, 2022
Mamiya H, Schmidt AM, Moodie EEM, Buckeridge DL.   +3 more
europepmc   +1 more source