Results 161 to 170 of about 26,557 (311)

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, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Physics-informed neural network and momentum contrastive learning for battery state of health estimation

Complex & Intelligent Systems
Estimating the State of health (SoH) of lithium-ion batteries is essential for ensuring their safe and efficient operation across various applications.
Jiwoo Jung, Yipene Cedric Francois Bassole, Yunsick Sung   +2 more
doaj   +1 more source

A Mathematical Perspective On Contrastive Learning

CoRR
44 pages, 15 ...
Ricardo Baptista, Andrew M. Stuart, Son Tran   +2 more
openaire   +2 more sources

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Non-negative Contrastive Learning

CoRR
22 pages.
Yifei Wang 0001, Qi Zhang 0067, Yaoyu Guo, Yisen Wang 0001   +3 more
openaire   +3 more sources

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

3D Face Recognition with Contrastive Learning Network on Low-Quality Data [PDF]

Face recognition has gained widespread use as a biometric technology. While many deep learning-based 3D face recognition techniques have achieved promising results using high-quality databases, recognizing faces on low-quality face data, often ...
Mian, A, Gao, S, Zhang, L, Jing, Y, Lu, X   +4 more
core   +1 more source

Prominent Movement Disorders in RNU2‐2‐Related Spliceosomopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pediatric movement disorders often overlap with neurodevelopmental diseases, suggesting shared molecular mechanisms. Variants in small nuclear RNA (snRNA) genes encoding spliceosome components have recently been associated with neurodevelopmental disorders, termed “RNUopathies.” We analyzed genome sequencing data from 14 patients with ...
Magdalena Krygier, Ugo Sorrentino, Matias Wagner, Marta Zawadzka, Anna Lemska, Maria Mazurkiewicz‐Bełdzińska, Michael Zech   +6 more
wiley   +1 more source

Contrastive Graph Similarity Networks [PDF]

Graph similarity learning is a significant and fundamental issue in the theory and analysis of graphs, which has been applied in a variety of fields, including object tracking, recommender systems, similarity search, and so on.
Li, Fuyi, Jin, D., Zheng, Yizhen, Jin, Di, Li, F., Pan, S., Pan, Shirui, Qiao, Yongliang, Zheng, Y., Wang, Luzhi, Qiao, Y., Wang, L.   +11 more
core   +1 more source

Separated and Independent Contrastive Semi-Supervised Learning for Imbalanced Datasets

IEEE Access
Conventional semi-supervised learning (SSL) encounters challenges in effectively addressing issues associated with long-tail datasets, primarily stemming from imbalances within a dataset.
Dongyoung Kim, Won-Sook Lee, Young-Woong Ko, Jeong-Gun Lee   +3 more
doaj   +1 more source