Results 21 to 30 of about 138,109 (218)

Study on Mechanism of Factors Affecting Resilience of Prefabricated Building Supply Chain

open access: yesAdvances in Civil Engineering, 2023
Identifying key factors affecting the resilience of a prefabricated building supply chain and exploring the effect mechanism of these factors can help to improve the resilience of the prefabricated building supply chain.
Chi Zhang   +4 more
doaj   +1 more source

Phase Angle as an Early Functional Biomarker of Cancer‐Related Fatigue in Pediatric Oncology: A Prospective Longitudinal Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric cancer remains a leading cause of morbidity and mortality worldwide, particularly in low‐and middle‐income countries. Cancer treatment may impair nutritional status, alter body composition, and exacerbate cancer‐related fatigue (CRF).
Luís Carlos Lopes‐Junior   +11 more
wiley   +1 more source

Better, worse, or different than expected: on the role of value and identity prediction errors in fear memory reactivation

open access: yesScientific Reports, 2022
Although reconsolidation-based interventions constitute a promising new avenue to treating fear and anxieties disorders, the success of the intervention is not guaranteed.
A. M. V. Gerlicher   +2 more
doaj   +1 more source

Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
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

High-beta disruption prediction study on HL-2A with instance-based transfer learning

open access: yesNuclear Fusion
Unmitigated disruptions pose a much more serious threat when large-scale tokamaks are operating in the high performance regime. Machine learning based disruption predictors can exhibit impressive performance.
Y. Zhong   +15 more
doaj   +1 more source

Kamin blocking is associated with reduced medial-frontal gyrus activation: implications for prediction error abnormality in schizophrenia. [PDF]

open access: yesPLoS ONE, 2012
The following study used 3-T functional magnetic resonance imaging (fMRI) to investigate the neural signature of Kamin blocking. Kamin blocking is an associative learning phenomenon seen where prior association of a stimulus (A) with an outcome blocks ...
Paula M Moran   +4 more
doaj   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
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

Design and development of an off-normal warning system for SPARC

open access: yesNuclear Fusion
The SPARC tokamak is a compact, high-field, and high-current device that will rely on disruption mitigation and prevention strategies to address the risks associated with its high stored energy densities.
A.R. Saperstein   +6 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
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

Real-time data-driven disruption prediction and its mitigation of MA-plasma experiments in KSTAR with a lower carbon divertor

open access: yesNuclear Fusion
Real-time disruption prediction and its mitigation of mega-ampere (MA) plasma experiments have been performed in the 2022 KSTAR carbon lower divertor condition.
Jeongwon Lee   +7 more
doaj   +1 more source

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