Results 131 to 140 of about 31,155,536 (302)
(Lexico)grammar and Data-Driven Learning
Among the different aspects of language that data-driven learning (DDL) can be used for, this entry focuses on lexicogrammar and grammar. It starts by showing that DDL has been applied more often to lexicogrammar than to grammar. It then presents the ways in which each of them can be approached through DDL, with some illustrations taken from the ...
openaire +1 more source
Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu +7 more
wiley +1 more source
, 2006 We propose in this paper a semantic web driven learning management architecture that supports collaborative learning, i.e., learning by reusing, sharing experience and building knowledge together within a particular domain. We address different phases of
Millard, David +4 more
core +1 more source
Fast data-driven learning of parallel MRI sampling patterns for large scale problems. [PDF]
Sci Rep, 2021 Zibetti MVW, Herman GT, Regatte RR.
europepmc +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
SAGE OpenThis study investigated students’ attitudes towards using mobile- data-driven learning (M-DDL) to support their writing instruction within resource-constrained environments.
Amel Lusta +2 more
doaj +1 more source
stefdeli/Data-driven-Adaptive-Benders-Decomposition: Data-Driven Adaptive Benders Decomposition
, 2019 Python codes and data from the paper ``Data-driven Adaptive Benders Decomposition for the Stochastic Unit Commitment ...
Stefanos Delikaraoglou
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source
Indonesian Journal of Applied LinguisticsCorpus-based data-driven learning (DDL) is an innovative approach that utilises electronic text collections for linguistic analysis, thereby enhancing teaching practices and learning skills for ESL/EFL students.
Sabina Sultana +3 more
doaj +1 more source