Results 91 to 100 of about 16,482,147 (331)

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen, Ali Behram Salar, Abdulkadir Ermis, Erkingul Birday, Lutfu Hanoglu, Bayram Ufuk Sakul   +5 more
wiley   +1 more source

A Roadmap for NF-ISAC in 6G: A Comprehensive Overview and Tutorial

Entropy
Near-field (NF) integrated sensing and communication (ISAC) has the potential to revolutionize future wireless networks. It enables simultaneous communication and sensing operations on the same radio frequency (RF) resources using a shared hardware ...
Azar Hakimi, Diluka Galappaththige, Chintha Tellambura   +2 more
doaj   +1 more source

A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection [PDF]

We address the multi-period portfolio optimization problem with the constant rebalancing strategy. This problem is formulated as a polynomial optimization problem (POP) by using a mean-variance criterion.
Sotirov, R., Takano, Y.
core   +1 more source

Recovering the Optimal Solution by Dual Random Projection [PDF]

, 2014
Random projection has been widely used in data classification. It maps high-dimensional data into a low-dimensional subspace in order to reduce the computational cost in solving the related optimization problem.
Jin, Rong, Mahdavi, Mehrdad, Yang, Tianbao, Zhang, Lijun, Zhu, Shenghuo   +4 more
core  

A new Sparse Auto-encoder based Framework using Grey Wolf Optimizer for Data Classification Problem [PDF]

, 2022
Ahmad Karim
openalex   +1 more source

Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu, Talia Robinson, Marina Rodriguez Alonso, Adela Francis Malave, Roos J. Jutten, Michael J. Properzi, Brian C. Healy, Jackson C. Thompson, Grace Del Carmen Montenegro, Emma Thibault, Dana Penney, Randall Davis, Reisa A. Sperling, Kathryn V. Papp, Keith A. Johnson, Julie C. Price, Dorene M. Rentz   +16 more
wiley   +1 more source

A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm

Applied Sciences
Magnetic anomaly data rapidly decay with distance and are susceptible to environmental magnetic noise, which leads to reduced accuracy and robustness in estimating magnetic source parameters.
Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao
doaj   +1 more source

Globally optimal FIR filters with applications in source and channel coding [PDF]

, 1998
In this paper, we derive a novel formulation to solve an important FIR filter optimization problem. The problem has received considerable attention in the past because it appears in a wide variety of disciplines.
Tuqan, Jamal, Vaidyanathan, P. P.
core  

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

Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots

IEEE Access
Focusing on the tracking control challenges in networked mobile robot systems, this research formulates a mixed time/event-triggered model predictive control (MPC) method.
Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng   +4 more
doaj   +1 more source