Results 51 to 60 of about 18,199 (263)
Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas +3 more
wiley +1 more source
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel +36 more
wiley +1 more source
ABSTRACT Ewing sarcoma (ES) and rhabdomyosarcoma (RMS) are aggressive malignancies in children and adolescents where metastases impact prognosis. 18F‐fluoro‐2‐deoxy‐d‐glucose positron emission tomography/computed tomography (FDG‐PET/CT) and bone marrow aspirate and trephine biopsies (BMAT) are used to identify disease involvement.
Imogen Andrews +3 more
wiley +1 more source
A New Method for Predicting the Monthly Fault Number of Watt-hour Meters Based on Time Series
The existing watt-hour meter fault prediction models in the State Grid information system are relatively simple and insufficient, and there is no specific model for predicting the monthly fault number of watt-hour meters.
Yuan LI +6 more
doaj +1 more source
PT-Informer: A Deep Learning Framework for Nuclear Steam Turbine Fault Diagnosis and Prediction
The health status of equipment is of paramount importance during the operation of nuclear power plants. The occurrence of faults not only leads to significant economic losses but also poses risks of casualties and even major accidents, with unimaginable ...
Jiajing Zhou +7 more
doaj +1 more source
On the earthquake predictability of fault interaction models [PDF]
AbstractSpace‐time clustering is the most striking departure of large earthquakes occurrence process from randomness. These clusters are usually described ex‐post by a physics‐based model in which earthquakes are triggered by Coulomb stress changes induced by other surrounding earthquakes. Notwithstanding the popularity of this kind of modeling, its ex‐
Marzocchi, W., Melini, D.
openaire +3 more sources
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
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Distributed fault‐tolerant model predictive control for intermittent faults
Intermittent fault is a special kind of fault form, which often occurs in industry processes but has been less studied. This study focuses on the distributed fault‐tolerant model predictive control (DFTMPC) problem for an intermittent fault in actuators or sensors. A novel state observer and DFTMPC controller integral framework are presented.
Guannan Xiao, Fei Liu
openaire +2 more sources
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
wiley +1 more source

