Results 61 to 70 of about 75,350 (240)
Model Transformation Modularization as a Many-Objective Optimization Problem [PDF]
IEEE Transactions on Software Engineering, 2017 Model transformation programs are iteratively refined, restructured, and evolved due to many reasons such as fixing bugs and adapting existing transformation rules to new metamodels version. Thus, modular design is a desirable property for model transformations as it can significantly improve their evolution, comprehensibility, maintainability ...
Martin Fleck +4 more
openaire +3 more sources
Arthritis Care &Research, EarlyView.Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo +88 more
wiley +1 more source
Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial
Arthritis Care &Research, EarlyView.Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham +29 more
wiley +1 more source
An Angle-Based Bi-Objective Evolutionary Algorithm for Many-Objective Optimization
IEEE Access, 2020 One of the main difficulties in solving many-objective optimization is the lack of selection pressure. For an optimization problem, its main purpose is to obtain a nondominated solution set with better convergence and diversity.
Feng Yang +4 more
doaj +1 more source
Associations of Sleep and Shift Work With Osteoarthritis Risk
Arthritis Care &Research, EarlyView.Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships among circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000–person cohort, we evaluated associations among sleep duration, sleeplessness/insomnia, and shift
Elizabeth L. Yanik +5 more
wiley +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
IEEE Access, 2019 With the number of objectives increasing, the traditional multi-objective evolutionary algorithms (MOEAs) will lead to a reduction of convergence pressure. Specifically, the number of non-dominated solutions in many-objective optimization problems (MaOPs)
Yang Liu +3 more
doaj +1 more source
Improved Many-Objective Optimization Algorithms for the 3D Indoor Deployment Problem [PDF]
Arabian Journal for Science and Engineering, 2019 Compared with the two-dimensional deployment, the three-dimensional deployment of sensor networks is more challenging. We studied the problem of 3D repositioning of sensor nodes in wireless sensor networks. We aim essentially to add a set of nodes to the initial architecture.
Sami Mnasri +3 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
IEEE Access, 2017 With the advent of big data era, complex optimization problems with many objectives and large numbers of decision variables are constantly emerging. Traditional research about multi-objective particle swarm optimization (PSO) focuses on multi-objective ...
Bin Cao +6 more
doaj +1 more source