Results 71 to 80 of about 1,901,574 (295)

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Modeling Multi-Objective, Multi-Product and Multi-Period Supplier Selection Problem Considering Stochastic Demand [PDF]

مدیریت تولید و عملیات, 2018
In this paper, a multi-objective, multi-period and multi-product mixed integer programming model ‎for the supplier selection and quota allocation problem under an all-unit quantity discount policy, ‎constrained storage space and stochastic demand is ...
Mehdi Seifbarghy, Foruzan Naseri
doaj   +1 more source

Benchmark generator for CEC 2009 competition on dynamic optimization [PDF]

, 2008
Evolutionary algorithms(EAs) have been widely applied to solve stationary optimization problems. However, many real-world applications are actually dynamic.
Beyer, H, Jin, Y, Li, C, Nguyen, T T, Suganthan, P N, Yang, S, Yao, X, Yu, E L   +7 more
core   +1 more source

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
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, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes [PDF]

, 2016
Student-$t$ processes have recently been proposed as an appealing alternative non-parameteric function prior. They feature enhanced flexibility and predictive variance.
Couckuyt, Ivo, Dhaene, Tom, van der Herten, Joachim   +2 more
core   +2 more sources

Nitride‐Reinforced Metal Matrix Nanocomposite Powders Production by Plasma‐Assisted Thermochemical Treatment of Intermetallic Powders

Advanced Engineering Materials, EarlyView.
This study proposes a new methodology for producing metal matrix nanocomposites in the solid state. The process involves the plasma‐assisted thermochemical treatment of metallic alloy powders. As a proof‐of‐concept, TiN nanoparticles are synthesized directly on the surface of FeTi intermetallic powder particles, enabling the development of the ...
Deivison Daros Paim, Antônio Rogério de Souza, Tatiana Bendo, Aloisio Nelmo Klein, Rodrigo Perito Cardoso   +4 more
wiley   +1 more source

Transfer of Energy and Momentum Between Magnetoactive Surface Microstructure and a Solid Object

Advanced Engineering Materials, EarlyView.
We demonstrate that magnetoactive multilamellar arrays subjected to a rotating magnetic field can function as platforms for controlled transport of physical objects. Through systematic experimental investigation, we elucidate the underlying physical mechanisms determining the upper limit of the achievable transportation speed in such magnetic “conveyor‐
Arne Geldof, Jan Kopačin, Izidor Straus, Raphael Kriegl, Gaia Kravanja, Luka Hribar, Matija Jezeršek, Mikhail Shamonin, Gašper Kokot, Irena Drevenšek‐Olenik   +9 more
wiley   +1 more source

An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks

, 2019
Network Functions Virtualization (NFV) in Software Defined Networks (SDN) emerged as a new technology for creating virtual instances for smooth execution of multiple applications. Their amalgamation provides flexible and programmable platforms to utilize
Ahmed, Syed Hassan, Gagnon, François, Garg, Sahil, Kaddoum, Georges, Kaur, Kuljeet, Kumar, Neeraj   +5 more
core   +1 more source

Unique Performance Considerations for Printable Organic Semiconductor and Perovskite Radiation Detectors: Toward Consensus on Best Practice Evaluation

Advanced Functional Materials, EarlyView.
A lack of standard approaches for testing and reporting the performance of metal halide perovskites and organic semiconductor radiation detectors has resulted in inconsistent interpretation of performance parameters, impeding progress in the field. This Perspective recommends key metrics and experimental details, which are suggested for reporting in ...
Jessie A. Posar, Matthew Large, Andrea Ciavatti, Laura Basiricò, Beatrice Fraboni, Paul J. Sellin, Attila J. Mozer, Marco Petasecca, Matthew J. Griffith   +8 more
wiley   +1 more source

Multi‐objective interval type‐2 fuzzy linear programming problem with vagueness in coefficient

CAAI Transactions on Intelligence Technology
One of the most widely used fuzzy linear programming models is the multi‐objective interval type‐2 fuzzy linear programming (IT2FLP) model, which is of particular importance due to the simultaneous integration of multiple criteria and objectives in a ...
Shokouh Sargolzaei, Hassan Mishmast Nehi
doaj   +1 more source