Results 121 to 130 of about 31,155,536 (302)
Predicting Mechanical Behavior of Different Thin-Walled Tubes Using Data-Driven Models
Predicting Mechanical Behavior of Different Thin-Walled Tubes Using Data-Driven Models Machine learning models and datasetsTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE.
karabacak, Y (via Mendeley Data) +1 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Data-driven learning: Technology-enhanced learning of semantic prosody
ALSIC: Apprentissage des Langues et Systèmes d'Information et de CommunicationThis exploratory study investigated the use of technology-enhanced activities to teach the semantic prosody of certain English expressions through a method known as Data-driven learning (DDL).
Jarvis Looi, Alessandra Cacciato
doaj +1 more source
Classroom Concordancing and Second Language Motivational Self-System: A Data-Driven Learning Approach. [PDF]
Front Psychol, 2022 Zare J, Karimpour S.
europepmc +1 more source
Data Driven Design for PSS (Product Re-design Based on Previous Knowledge)
The use of data-driven techniques can support the trade-off between different PSS design concepts by allowing dynamic indexing and retrieval of information to detect correlations and emerging trends. The chapter presents a data-driven approach exploiting
Bertoni, Alessandro,
core +1 more source
Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 more
wiley +1 more source
Learning from data: A recurring feature on the science and practice of data-driven learning health systems. [PDF]
Learn Health Syst, 2022 Embi PJ, Payne PRO, Friedman CP.
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
Cogent Education, 2017 Corpus-based data-driven learning (DDL) is an innovation in teaching and learning new vocabulary for EFL students. Using teacher-prepared materials obtained from COCA corpus, the goal of the present study is to compare DDL and traditional methods of ...
Elyas Barabadi, Yaser Khajavi
doaj +1 more source
Data-driven learning how oncogenic gene expression locally alters heterocellular networks. [PDF]
Nat Commun, 2022 Klinke DJ +5 more
europepmc +1 more source