Results 111 to 120 of about 918,391 (278)
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
Frontiers in NutritionIntroductionOne major challenge of reducing salt content in food is the risk of the overall taste becoming bland. Enhancing saltiness is an effective strategy for salt reduction, and the development of salt-reduced foods using these saltiness-enhancing ...
Kiyota Sakai +2 more
doaj +1 more source
Clean Ocean Advocate, August 2008
, 2008 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest. Articles in this issue include: C.O.A.S.T.
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
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
International Journal of Computer VisionAbstract Annotating the dataset with high-quality labels is crucial for deep networks’ performance, but in real-world scenarios, the labels are often contaminated by noise. To address this, some methods were recently proposed to automatically split clean and noisy labels among training data, and learn a semi-supervised learner in a Learning ...
Daehwan Kim +3 more
openaire +4 more sources
Clean Ocean Advocate, July 2009
, 2009 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
core +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
Countering Noisy Labels By Learning From Auxiliary Clean Labels
, 2019 We consider the learning from noisy labels (NL) problem which emerges in many real-world applications. In addition to the widely-studied synthetic noise in the NL literature, we also consider the pseudo labels in semi-supervised learning (Semi-SL) as a special case of NL. For both types of noise, we argue that the generalization performance of existing
Tsai, Tsung Wei, Li, Chongxuan, Zhu, Jun
openaire +2 more sources
Clean Ocean Advocate, July 2008
, 2008 The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.
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