Results 231 to 240 of about 10,334 (295)
Machine Learning and Abdominal Aortic Aneurysm: A New Paradigm in Prediction and Prognosis after Endovascular Aneurysm Repair. [PDF]
Nishibe T +6 more
europepmc +1 more source
Associations of Sleep and Shift Work with Osteoarthritis Risk
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik +5 more
wiley +1 more source
When Legacy Triumphs: Resolving Leadless Pacemaker Programming Failure Caused by Loop Recorder Interference. [PDF]
Pavani G +6 more
europepmc +1 more source
Objective Somatic items used in depression assessments can potentially overlap with symptoms related to physical illness, including systemic sclerosis (SSc). No studies have looked at whether somatic depression items may be influenced by diffuse versus limited SSc disease subtypes, which are associated with varying degrees of symptom presentation.
Sophie Hu +109 more
wiley +1 more source
Epilepsy clinic analytics: leveraging EMR reporting tools to characterize center volume and complexity. [PDF]
Arya V +6 more
europepmc +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Feasibility of totally leadless left bundle branch area pacing via a left endocardial pacing electrode in patients with heart failure: A 3-case series. [PDF]
Deschamps E +5 more
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

