Results 141 to 150 of about 168,521,757 (307)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

The development of multiplicative thinking and proportional reasoning: Models of conceptual learning and transfer [PDF]

, 2012
This thesis considers the development of multiplicative thinking and proportional reasoning from two perspectives. Firstly, it examines the research literature on progressions in conceptual understanding to create a Hypothetical Learning Trajectory (HLT).
Wright, Vincent John
core  

TRANSFERABILITY IN MUSIC EDUCATION: FROM PRACTICE ROUTINES TO PERFORMANCE-BASED LEARNING AND EVALUATION ACROSS DISCIPLINES

Studia Universitatis Babeş-Bolyai. Musica
This article explores the concept of transferability in education with a focus on the practices of music education and their application across broader learning contexts.
Anca SIMION
doaj   +1 more source

Visual Detection of Water Content Range of Seabuckthorn Fruit Based on Transfer Deep Learning. [PDF]

Foods, 2023
Xu Y, Kou J, Zhang Q, Tan S, Zhu L, Geng Z, Yang X.   +6 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh, Côté-Allard, Ulysse, Glette, Kyrre, Drouin, Alexandre, Fall, Cheikh Latyr, Campeau-Lecours, Alexandre, Gosselin, Benoit, Laviolette, Francois, Côté Allard, Ulysse, Gosselin, Clément   +9 more
core   +1 more source

Intermanual Transfer of Learning in a Fine Manual Skill Task

Motriz: Revista de Educacao Fisica
Intermanual Transfer of Learning (IMTL) is the ability to learn a certain skill in an easier way with one hand after that skill has been learnt by the opposite hand(1).
Shirley Regina de Almeida Batista, Paula Rodrigues, Olga Vasconcelos   +2 more
doaj   +1 more source

Deliberate Erring Improves Far Transfer of Learning More Than Errorless Elaboration and Spotting and Correcting Others' Errors. [PDF]

Educ Psychol Rev, 2023
Wong SSH.
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Technology-Enabled Learning Implementation [PDF]

, 2019
The TEL implementation project assists educational institutions in increasing/ improving: • Number of learners using ICTs; • Number of teachers using ICTs; • Availability of courses using ICTs for teaching and learning; • Student learning through
Commonwealth of Learning
core   +1 more source