Results 121 to 130 of about 6,564,190 (278)

Frequency and Phenotype of Coexisting Aquaporin‐4 and Autoimmune Encephalitis Autoantibodies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Among 9457 aquaporin‐4 (AQP4) immunoglobulin G‐positive patients, 2071 underwent autoimmune encephalitis antibody testing and 85 (4%) had coexisting antibodies, most commonly cerebrospinal fluid glial fibrillary acidic protein‐IgG and N‐methyl‐D‐aspartate receptor‐IgG, or serum high‐titer GAD65‐IgG.
Laura Cacciaguerra   +25 more
wiley   +1 more source

Justification of architecture for intelligent agnostic multimodal transportation

open access: yesTransport Technologies
Urban population growth is estimated to exceed 50% by 2050 in today's urban spaces. Therefore, the mobility patterns of people and objects become a fundamental element for planning, control, and decision-making in multimodal transportation. The use of an
Klaus Serny
doaj   +1 more source

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

open access: yesArthritis Care &Research, EarlyView.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss   +9 more
wiley   +1 more source

Cover Jurnal Gamma, Vol. 7, No.2, Maret 2012

open access: yes, 2014
Cover Jurnal Gamma, Vol.
., Cover
core  

Real‐World Safety of Concomitant Colchicine and Statin Therapy

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan   +5 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

On the Definition of Higher Gamma Functions

open access: yesConstructive Approximation
We generalize our previous new definition of Euler Gamma function to higher Gamma functions. With this unified approach, we characterize Barnes higher Gamma functions, Mellin Gamma functions, Barnes multiple Gamma functions, Jackson $q$-Gamma function, and Nishizawa higher $q$-Gamma functions. This approach extends to more general functional equations.
openaire   +4 more sources

Cover Jurnal Gamma Vol.9, No.2, Maret 2014

open access: yes, 2015
Cover Jurnal Gamma Vol.9, No.2, Maret ...
., Cover
core  

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane   +3 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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