Results 31 to 40 of about 6,941,251 (285)

A global optimization approach for the linear two-level program

open access: yes, 1993
Linear two-level programming deals with optimization problems in which the constraint region is implicity determined by another optimization problem. Mathematical programs of this type arise in connection with policy problems to which the Stackelberg ...
Tuy, Hoang,   +2 more
core   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan   +3 more
wiley   +1 more source

Utility of syndromic surveillance for the surveillance of healthcare-associated infections in resource-limited settings: a narrative review

open access: yesFrontiers in Microbiology
Globally, Healthcare-associated infections (HCAIs) pose a significant threat to patient safety and healthcare systems. In low- and middle-income countries (LMICs), the lack of adequate resources to manage HCAIs, as well as the weak healthcare system ...
Herman Mwanja   +11 more
doaj   +1 more source

Nonlinear Regression Problem of Material Functions Identification for Porous Media Plastic Flow

open access: yesEngineering Transactions, 2015
In the paper we present the identification problem arising in modelling the processes of nucleation and growth of voids in the elastic–plastic media. Identification is carried out on the basis of Fisher's data measured on the cylindrical steel specimens ...
Z. Nowak, A. Stachurski
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

Flux Weakening Strategy Optimization for Five-Phase PM Machine with Concentrated Windings [PDF]

open access: yes, 2012
The paper applies an Efficient Global Optimization method (EGO) to improve the efficiency, in flux weakening region, of a given 5-phase Permanent Magnet (PM) machine. An optimal control for the four independent currents is thus defined.
JILIN, Gong   +3 more
core  

Enhancing Pediatric Asthma Homecare Management: The Potential of Deep Learning Associated with Spirometry-Labelled Data

open access: yesApplied Sciences
A critical factor contributing to the burden of childhood asthma is the lack of effective self-management in homecare settings. Artificial intelligence (AI) and lung sound monitoring could help address this gap. Yet, existing AI-driven auscultation tools
Heidi Cleverley-Leblanc   +7 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

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

open access: yesnpj Digital Medicine
Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data.
Klavdiia Naumova   +4 more
doaj   +1 more source

Machine Learning in Quasi-Newton Methods

open access: yesAxioms
In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulate a ...
Vladimir Krutikov   +4 more
doaj   +1 more source

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