Results 81 to 90 of about 6,800,360 (294)

Improving the Diagnostic Accuracy of Plasma Alzheimer's Disease Biomarkers With Objective and Subjective Cognitive Screening

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki, Leslie S. Gaynor, Dandan Liu, Timothy J. Hohman, Katherine A. Gifford, Henrik Zetterberg, Angela L. Jefferson, Corey J. Bolton   +7 more
wiley   +1 more source

Individuals With Multijoint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data From the Canadian Longitudinal Study on Aging

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

Load Balancing Based on Optimization Algorithms: An Overview

Journal of Telecommunications and Information Technology, 2019
Combinatorial optimization challenges are rooted in real-life problems, continuous optimization problems, discrete optimization problems and other significant problems in telecommunications which include, for example, routing, design of communication ...
Fatma Mbarek, Volodymyr Mosorov
doaj   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Transfer Reinforcement Learning for Combinatorial Optimization Problems

Algorithms
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL).
Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira, Erivelton Geraldo Nepomuceno   +5 more
doaj   +1 more source

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

Arthritis Care &Research, EarlyView.
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary, Ghaith Noaiseh, Julie Frantsve‐Hawley, Frederick B. Vivino, Jennifer A. McCombe, Shamik Bhattacharyya, E. Sherwood Brown, Andrew R. Carey, Robert Fox, Thomas Grader‐Beck, Janet E. Lewis, Stephen Maitz, Steven Mandel, Astrid Rasmussen, George Sarka, R. Hal Scofield, Daniel J. Wallace, Rochelle Zak, Kristie Cox, Katherine M. Hammitt, Steven Carsons, Nancy Carteron   +21 more
wiley   +1 more source

Binary Pufferfish Optimization Algorithm for Combinatorial Problems

Biomimetics
Metaheuristics are a fundament pillar of Industry 4.0, as they allow for complex optimization problems to be solved by finding good solutions in a reasonable amount of computational time.
Broderick Crawford, Álex Paz, Ricardo Soto, Álvaro Peña Fritz, Gino Astorga, Felipe Cisternas-Caneo, Claudio Patricio Toledo Mac-lean, Fabián Solís-Piñones, José Lara Arce, Giovanni Giachetti   +9 more
doaj   +1 more source

Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Combinatorial optimization assumes that all parameters of the optimization problem, e.g. the weights in the objective function, are fixed. Often, these weights are mere estimates and increasingly machine learning techniques are used to for their estimation.
Mandi, Jayanta, Demirovic, Emir, J. Stuckey, Peter, Guns, Tias   +3 more
openaire   +5 more sources

Development of Patient‐Reported Outcome Measures for Early Systemic Sclerosis Across Disease Subtypes

Arthritis Care &Research, Accepted Article.
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene, Chelsea Rose Perschon, Emilie Jaeger, Alain Lescoat, David Cella, Dinesh Khanna   +5 more
wiley   +1 more source

Vector optimization problems with linear criteria over a fuzzy combinatorial set of alternatives. [PDF]

, 2011
Vector optimization problems over a fuzzy combinatorial set of permutations are investigated. Based on the properties of the convex hull of a fuzzy combinatorial set of permutations, modifications of multicriteria choice methods are developed and ...
Koliechkina, L., Nagirna, A. M., Semenova, N. V., Semenova N. V., Nagirna A. M., Koliechkina L.   +5 more
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