Remaining useful life prediction of lithium batteries based on jump connection multi-scale CNN. [PDF]
Sun L, Huang X, Liu J, Song J, Wu S.
europepmc +1 more source
GPT-based equipment remaining useful life prediction
Peiwen Wang +3 more
openaire +1 more source
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst +4 more
wiley +1 more source
Remaining useful life prediction and early warning model for high-speed railway contact system based on error-improved PSO-BiLSTM. [PDF]
Liu L, Gan Y, Deng Z, Cheng P.
europepmc +1 more source
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Remaining Useful Life Prediction for Bearings Across Domains via a Subdomain Adaptation Network Driven by Spectral Clustering. [PDF]
Xu Z +4 more
europepmc +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM. [PDF]
Zou Y, Sun W, Xu T, Wang B.
europepmc +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Remaining useful life prediction of lithium-ion batteries via spatial attention TLSTM and dilated CNN with evolutionary optimization. [PDF]
Chen S, Fang X.
europepmc +1 more source

