Results 91 to 100 of about 6,001,787 (300)
DFD-Impulse-Oscillometry-Data-Dictionary
DFD-Impulse-Oscilometry-IOS-Data-DictionaryThis data dictionary provides detailed descriptions of variables, field definitions, and response options for Impulse Oscillometry (IOS) data within the Deployment File Data (DFD) datasets.It serves as a ...
Oscar Agyei (20313330)
core +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Arthritis Care &Research, EarlyView.Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Telematics and Informatics ReportsImpulse buying has garnered significant attention in the marketing field; however, there remains a gap in understanding this behavior on digital platforms.
Khalil Ahmad, Kashish Lilani
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Ambulatory care–sensitive conditions (ACSCs) serve as indicators of access, quality, and performance of the health system. This study aimed to determine rheumatoid arthritis (RA)‐specific ACSCs for use in the evaluation of care system access and quality.
Kara Irwin +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective High body mass index (BMI ≥ 27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck +10 more
wiley +1 more source
Model-Free Impulse Responses [PDF]
This paper introduces methods for computing impulse response functions that do not require specification and estimation of the unknown dynamic multivariate system itself.
Oscar Jorda
core +2 more sources
SAGE OpenLive streaming enhances the marketing vitality and possibility. However, the academic research on this new marketing method is still insufficient. To fill this literature gap, this paper tests whether the characteristics of mobile app live streaming ...
Hewei Tian
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International 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
Experimental Investigation of Impulse Characteristics of Transmission Line Tower Footings [PDF]
, 2012 Understanding the impulse response of tower grounding systems is a key factor in the determination of the lightning performance of transmission lines and the safety voltages near high voltage towers.
Ullah, Niamat +4 more
core +1 more source