Results 181 to 190 of about 837,345 (261)

Editorial: Neuro-cognition in human movement: from fundamental experiments to bio-inspired innovation. [PDF]

Front Neurol
Ritzmann R, De Pauw K, Wollesen B.
europepmc   +1 more source

Performance Characteristics of Anti–Collagen II Antibodies in Relapsing Polychondritis and Related Diseases: Prospective Analysis, Systematic Review, and Meta‐Analysis

Arthritis Care &Research, EarlyView.
Objective Relapsing polychondritis (RP) is a rare disease defined by recurrent cartilaginous inflammation. Anti–collagen II (Col2) antibodies have been proposed as a diagnostic biomarker for RP, but their performance characteristics are not well defined.
Karyssa Stonick, Marcela A. Ferrada, Alice Fike, Kaitlin A. Quinn, Benjamin A. Turturice, Casey Stein, Peter C Grayson   +6 more
wiley   +1 more source

Polysomnographic characteristics in patients with idiopathic dystonia. [PDF]

Clin Park Relat Disord
Paracka L, Ye L, Lübke J, Saryyeva A, Klietz M, Wegner F, Krauss JK.   +6 more
europepmc   +1 more source

Functional brain connectivity in patients with <i>de novo</i> Parkinson's disease. [PDF]

Neuroimage Rep
Picchi E, Minosse S, Pucci N, Conti M, Mascioli D, Stefani A, Garaci F, Ferrazzoli V, Da Ros V, Schirinzi T, Di Giuliano F.   +10 more
europepmc   +1 more source

Integrating Patient‐Reported Quality Measures in SLE: Development of the American College of Rheumatology Implementation Guide

Arthritis Care &Research, Accepted Article.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcomes measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semi‐structured interviews ...
Catherine Nasrallah, Cherish Wilson, Christine Hariz, Christie M Bartels, Shanthini Kasturi, Wambui Machua, Amy Bennett, Kate Chiseri, Allison Plitman, Starla Hairston Blanks, April Jorge, Patti Katz, Jinoos Yazdany, Shivani Garg   +13 more
wiley   +1 more source

Design optimization and real-time implementation of an LSPMSM for efficiency enhancement. [PDF]

Sci Rep
Ocak C, Yenipınar B, Çelik E, Abdel-Salam M, Tejani GG, Mousavirad SJ.   +5 more
europepmc   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

International Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García, Axel Coronado‐Andrade, Gerardo Espinosa‐Pérez, Luis Alvarez‐Icaza   +3 more
wiley   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging. [PDF]

PLoS One
Zeng Z, Liao W, Wu X, Liao X, Ou Y, Zhao L, Zhao L, Luo D, Wang F.   +8 more
europepmc   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source