Results 31 to 40 of about 6,794 (215)

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi   +10 more
wiley   +1 more source

Research on Surrogate Model of Dam Structural Behavior for Multi‐Output Problem

open access: yesEngineering Reports
The establishment efficiency of the surrogate model is often affected by the multi‐output problem during the establishment process. It is an urgent issue to solve how to establish a multi‐output joint surrogate model more quickly while ensuring a certain
Yuan Qiao   +3 more
doaj   +1 more source

Dynamic Analysis of a Moored Spar Platform in a Uniform Current: Fluid Load Prediction Using a Surrogate Model

open access: yesJournal of Marine Science and Engineering
A moored spar platform, equipped with various instruments, serves as a crucial tool in hydrological monitoring. However, conducting dynamic analyses of a single spar that endures wind and current requires significant amount of computational time.
Xinming Wei   +6 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier   +10 more
wiley   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar   +7 more
wiley   +1 more source

A Joint Optimization Algorithm Based on the Optimal Shape Parameter–Gaussian Radial Basis Function Surrogate Model and Its Application

open access: yesMathematics, 2023
We propose a joint optimization algorithm that combines the optimal shape parameter–Gaussian radial basis function (G-RBF) surrogate model with global and local optimization techniques to improve accuracy and reduce costs.
Jian Sun, Ling Wang, Dianxuan Gong
doaj   +1 more source

Guidelines for Pediatric Radiotherapy Simulation: A Report From the Children's Oncology Group Radiation Oncology Discipline

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei   +17 more
wiley   +1 more source

Hierarchical surrogate modeling for illumination algorithms [PDF]

open access: yesProceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
Evolutionary illumination is a recent technique that allows producing many diverse, optimal solutions in a map of manually defined features. To support the large amount of objective function evaluations, surrogate model assistance was recently introduced.
openaire   +2 more sources

Behavioral Study of Bayesian Neural Networks Under a Typical Surrogate Model-Assisted Evolutionary Search Framework

open access: yesIEEE Access
The machine learning method for surrogate modeling is a keystone in surrogate model-assisted evolutionary algorithms (SAEAs). The current arguably most widely used surrogate modeling methods in SAEAs are Gaussian process and radial basis function.
Yushi Liu   +3 more
doaj   +1 more source

Modify Leave-One-Out Cross Validation by Moving Validation Samples around Random Normal Distributions: Move-One-Away Cross Validation

open access: yesApplied Sciences, 2020
The leave-one-out cross validation (LOO-CV), which is a model-independent evaluate method, cannot always select the best of several models when the sample size is small.
Liye Lv, Xueguan Song, Wei Sun
doaj   +1 more source

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