Results 181 to 190 of about 11,061,910 (343)
Journal of Exercise Science & FitnessBackground/Objectives: The aim of this systematic review was to (1) estimate the prevalence of adhering to the MSE guidelines (at least 2 times/days a week) among adults; and (2) synthesize evidence on the correlates of adhering to the MSE guidelines ...
Zhanbing Ren +7 more
doaj +1 more source
Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park +7 more
wiley +1 more source
European Journal of Investigation in Health, Psychology and EducationObjective: The aim of this study was to explore the associations of eating habits with self-rated health and life satisfaction in adolescents using a multiple-country sample. Methods: Cross-sectional data from the Health Behavior in School-Aged Children (
Sitong Chen +4 more
doaj +1 more source
Physical Review AQuantum machine learning, as an extension of classical machine learning that harnesses quantum mechanics, facilitates effiient learning from data encoded in quantum states. Training a quantum neural network typically demands a substantial labeled training set for supervised learning.
Yongcheng Ding +4 more
openaire +2 more sources
Active Learning - An Explicit Treatment of Unreliable Parameters [PDF]
, 2008 Institute for Communicating and Collaborative SystemsActive learning reduces annotation costs for supervised learning by concentrating labelling efforts on the most informative data.
Becker, Markus
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Annals 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
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
International Journal of Behavioral Nutrition and Physical ActivityBackground Few studies have examined the relationship between motor skill competence and device-measured physical activity in large samples and none have used non-linear modelling.
L. M. Barnett +15 more
doaj +1 more source
A Formulation for Active Learning with Applications to Object Detection [PDF]
, 1996 We discuss a formulation for active example selection for function learning problems. This formulation is obtained by adapting Fedorov's optimal experiment design to the learning problem.
Partha Niyogi +3 more
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