Results 51 to 60 of about 3,693,066 (305)
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
Moment-Based Importance Analysis of Structure Performance Functions Under Mixed Uncertainties
In this paper, a novel strategy for the importance analysis of structural performance models under both aleatory and epistemic uncertainties is presented.
Wei Li, Xiaoyuan Zhu, Xiong Hu, Ran Wang
doaj +1 more source
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Essays on macro-labour and uncertainty [PDF]
This dissertation consists of three self-contained chapters which discuss topics related to macro-labour and uncertainty. Chapter 1 examines the impact of cross-border migration on business cycle dynamics and focuses on the implications of brain-drain ...
Oikonomou, Myrto
core +1 more source
Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements
In the context of industrially mass-manufactured products, quality management is based on physically inspecting a small sample from a large batch and reasoning about the batch's quality conformance. When complementing physical inspections with predictions from machine learning models, it is crucial that the uncertainty of the prediction is known ...
Simon Cramer +2 more
openaire +2 more sources
Uncertainty of Measurement in Laboratory Medicine [PDF]
SummaryAn adequate assessment of the measurement uncertainty in a laboratory medicine is one of the most important factors for a reliable interpretation of the results. A large number of standards and guidelines indicate the need for a proper assessment of the uncertainty of measurement results in routine laboratory practice.
Milinković, Neda +3 more
openaire +5 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
Uncertainty as a Fairness Measure
Unfair predictions of machine learning (ML) models impede their broad acceptance in real-world settings. Tackling this arduous challenge first necessitates defining what it means for an ML model to be fair. This has been addressed by the ML community with various measures of fairness that depend on the prediction outcomes of the ML models, either at ...
Selim Kuzucu +3 more
openaire +2 more sources
Measurement Uncertainty in Microbiology [PDF]
Abstract Testing laboratories wishing to comply with the requirements of ISO/IEC 17025:1999 need to estimate uncertainty of measurement for their quantitative methods. Many microbiological laboratories have had procedures available for monitoring variability in duplicate results generated by laboratory analysts for some time.
openaire +2 more sources

