Results 81 to 90 of about 1,304,632 (243)

Dysregulated Cholesterol Metabolism, Chronic Inflammation, and Disability in Severe Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks   +8 more
wiley   +1 more source

Particle swarm motion synchronization based on the surface graph

open access: yesМіжнародний науково-технічний журнал "Проблеми керування та інформатики"
The paper considers the task of controlling a group of unmanned aerial vehicles (UAVs) to organize swarm movement along a given trajectory, ensuring the most efficient achievement of the flight goal.
Олена Володимирівна Горда   +1 more
doaj   +1 more source

AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification [PDF]

open access: yes, 2009
Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns.
Galván, Inés M.   +2 more
core   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search [PDF]

open access: yes, 2011
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC).
Blackwell, Tim   +2 more
core   +3 more sources

Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges

open access: yesSensors
The dynamic and complex environment, together with challenging assignments, requires that unmanned aerial vehicle (UAV) systems evolve toward cooperation, autonomy, and cognition.
Ravi Raj, Andrzej Kos
doaj   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

open access: yesArthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil   +7 more
wiley   +1 more source

An Exhaustive Multi-Aspect Analysis of Swarm Intelligence Algorithms in Numerical Association Rule Mining

open access: yesIEEE Access
Numerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik   +4 more
doaj   +1 more source

Investigating neglect benevolence and communication latency during human-swarm interaction [PDF]

open access: yes, 2012
In practical applications of robot swarms with bioinspired behaviors, a human operator will need to exert control over the swarm to fulfill the mission objectives.
Sycara, Katia   +6 more
core  

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