Results 121 to 130 of about 16,732,514 (287)

A personalized recommendation algorithm for English exercises incorporating fuzzy cognitive models and multiple attention mechanisms

open access: yesScientific Reports
In the era of digital education, the rapid growth and disordered distribution of learning resources present new challenges for online learning. However, most of the exercise recommendation systems lack targeted guidance and personalization.
Yixuan Zhang, Yanyi Wang
doaj   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach   +23 more
wiley   +1 more source

Evaluating Person-Parameter Estimation Methods in Cognitive-Diagnostic Models with Testlet Effects

open access: yesEducation Sciences
Testlet-based cognitive-diagnostic models involve both discrete attribute profiles and continuous testlet effects, making person-parameter estimation more challenging than in standard cognitive-diagnostic models.
Mei You, Jingjing Yang, Xin Xu
doaj   +1 more source

Sertraline Treatment Can Mimic Niemann‐Pick Type C Biomarker Profile: A Diagnostic Pitfall

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Oxysterols (cholestane‐3β,5α,6β‐triol and 7‐ketocholesterol) and N‐palmitoyl‐O‐phosphocholineserine (PPCS) are sensitive biomarkers for Niemann‐Pick disease type C (NPC) screening. However, false‐positive results occur, with a biomarker profile suggestive of NPC despite the absence of pathogenic variants in genes involved in NPC or ...
Maria Makrygianni   +19 more
wiley   +1 more source

Exploring developmental trajectories of analogical reasoning in preschool children: A cognitive diagnostic approach enhanced by IoT technology

open access: yesActa Psychologica
This study examines the developmental characteristics of analogical reasoning in preschool children, utilizing Cognitive Diagnostic Models (CDMs) and innovative Internet of Things (IoT) technology to enhance assessment accuracy and efficiency ...
Xue Lv   +5 more
doaj   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou   +16 more
wiley   +1 more source

Charting the trajectory of cognitive diagnostic assessment in language assessment: A systematic literature review

open access: yesInternational Journal of Assessment Tools in Education
The education system has relied on conventional single-score assessments, which provide limited insights into students' cognitive abilities. Cognitive diagnostic assessment (CDA) offers a promising alternative by providing detailed information on ...
Mohd Effendi Ewan Mohd Matore   +2 more
doaj   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon   +5 more
wiley   +1 more source

Evaluating the Effectiveness of Machine Learning for Alzheimer’s Disease Prediction Using Applied Explainability

open access: yesBiophysica
Early and accurate diagnosis of Alzheimer’s disease (AD) is critical for patient outcomes yet presents a significant clinical challenge. This study evaluates the effectiveness of four machine learning models—Logistic Regression, Random Forest, Support ...
Chih-Hao Huang   +2 more
doaj   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller   +14 more
wiley   +1 more source

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