Results 191 to 200 of about 956,231 (273)

BH25DE report: On the path to machine-actionable training materials

Leyla Jael Castro, Dilfuza Djamalova, Jacobo Ruza Miranda, Charles Tapley Hoyt, A Gaignard, Petra Steiner, Roman Baum, Phil Reed, Nick Juty Nick Juty, Martin Voigt, Oliver Knodel   +10 more
openalex   +1 more source

A new format for the presentation of control and measuring materials in Russian as a foreign language for the First certification level (using the example of a biomedical training profile)

Anna Ivanova, И А Диневич, Galina N. Myers   +2 more
openalex   +2 more sources

PENGEMBANGAN DAN ANALISIS KUALITAS APLIKASI MATERIAL REQUEST FORM BERBASIS WEB SEBAGAI PENGELOLA PERALATAN PENDUKUNG TRAINING DI PT THIESS CONTRACTORS INDONESIA [PDF]

, 2016
Agung Nugroho Aditio
openalex  

Training Materials and Guidelines

, 2018
Petra Topolčanová
openalex   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

Advanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons, Rhys J. Bourhill, Ewan McQueen, Sam D. Harding, Krzysztof Pawlak, Thomas Fellowes, Harry W. Capps, Alexander J. Cowan, Andrew I. Cooper, Adrian M. Gardner, Martijn A. Zwijnenburg, Reiner Sebastian Sprick   +11 more
wiley   +1 more source

Science-literacy-based teaching materials Training Management Model: Improving the Professional Competence of Middle School Teachers

Rini Ismeini, Arif Rahman, Yuniarto Mudjisusatyo   +2 more
openalex   +2 more sources

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

SEMI-SUPERVISED CLASSIFICATION OF 2D MATERIALS USING SELF-TRAINING CONVOLUTIONAL NEURAL NETWORKS

Cahit Perkgöz, Umut Kaan Kavaklı, Bahar Görgün, Ali Rıza Terzi   +3 more
openalex   +2 more sources

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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Utility of clinical map puzzles as group training materials for the initial treatment of stroke

, 2013
Yasuhiko Ajimi, Tetsuya Sakamoto, Yoshio Tanizaki   +2 more
openalex   +1 more source