Results 61 to 70 of about 11,323,207 (336)
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source
Attention-Gaussian-LSTM-Wiener based remaining useful life prediction method
Most machine learning-based remaining useful life (RUL) prediction methods only yield point predictions, and their “black-box” nature results in low interpretability.
Shuiyuan Cao +4 more
doaj +1 more source
Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction
As one of the key components in mechanical systems, rotatory machine plays a significant role in safe and stable operation. Accurate prediction of the Remaining Useful Life (RUL) of rotatory machine contributes to realization of intelligent operation and
Hao Zhang +4 more
doaj +1 more source
In the realm of intelligent manufacturing, accurately predicting the remaining useful life (RUL) of rolling bearings is essential for maintaining the high reliability and optimized performance of rotating machinery.
Chen-Yang Wang +3 more
semanticscholar +1 more source
ABSTRACT Transitioning from pediatric to adult care is a high‐risk period for individuals with sickle cell disease (SCD). An initial observation at one academic medical center suggested a sex‐based disparity in clinic populations, prompting a national investigation.
Laurie J. Duckworth +5 more
wiley +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Aeroengines Remaining Useful Life Prediction Based on Improved C-Loss ELM
A correntropy induced loss (C-loss) function is a loss function developed based on entropy theory. Due to the non-convexity of the C-loss function, ELM based on C-loss has been proven to have better regression effects and robustness.
Bowen Zhang +3 more
doaj +1 more source
Currently, the Remaining Useful Life (RUL) prediction accuracy of stochastic deterioration equipment is low. Existing researches did not consider the impact of imperfect maintenance on equipment degradation and maintenance decisions.
Pengfei Li, Song Ming, Xiangang Cao
core +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Leveraging Degradation Events for Enhanced Remaining Useful Life Prediction
The remaining useful life (RUL) of complex mechanical systems is the primary aspect of prognostics and health management, which is critical for ensuring reliability and safety.
Zeeshan Abbas +5 more
doaj +1 more source

