Results 101 to 110 of about 48,373,504 (334)
Optimizing Writing Skills in Children Using a Real-Time Feedback System Based on Machine Learning
Writing is a fundamental skill in children’s educational development, but many face significant difficulties in learning it, which can affect their academic progress and self-esteem.
William Villegas-Ch +2 more
doaj +1 more source
Digital handwriting metrics and temporal behaviors for predicting early Alzheimer’s onset [PDF]
Aim: The aim of this paper was to explore stroke-level handwriting dynamics as early behavioral biomarkers for Alzheimer’s disease (AD). Methods: Stroke-level handwriting data were collected from 174 participants (89 probable AD or mild cognitive ...
Charity Nyamuchengwa
doaj +1 more source
Mass density governs the protective behavior of oxide layers on nuclear fuel cladding. Ptychographic X‐ray computed tomography measures zirconium oxide grown on Zircaloy‐4 under reactor and autoclave conditions, revealing nearly identical bulk densities of 5.1 ± 0.80 g cm−3.
Okan Yetik +9 more
wiley +1 more source
The paper describes methods for teaching writing skills and types of writing workbooks currently used in schools. A handwriting study was conducted among 2nd-to-4th graders, 7th-to-9th graders, and 1st-to-3rd year students of vocational colleges.
E. Belova
doaj
The internal structure of handwriting proficiency in beginning writers.
Fluent and automatized handwriting frees cognitive resources for more complex elements of writing (i.e., spelling or text generation) or even math tasks (i.e., operating) and is therefore a central objective in primary school years.
Lidia Truxius +3 more
doaj +1 more source
Detection of Personality Traits Using Handwriting and Deep Learning
A series of studies and research have shown the existence of a link between handwriting and a person’s personality traits. There are numerous fields that require a psychological assessment of individuals, where there is a need to determine personality ...
Daniel Gagiu, Dorin Sendrescu
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
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 +8 more
wiley +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
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
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Analysis of handwriting by the dynamic programming matching.
We examined the temporal invariance hypothesis in handwriting, using dynamic programming (DP) matching algorithm. The DP matching algorithm was originally developed for the speech recognition to eliminate fluctuations of time axis caused by different speech rates. This algorithm can determine the optimal point-to-point correspondences (warping function)
Matsushia, Takaji +2 more
openaire +3 more sources

