Results 131 to 140 of about 110,431 (303)

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

Uncertainty quantification in neuroscience

open access: yes, 2019
The complexity of the nervous system has made computational science an invaluable tool in order to understand how the nervous system functions. The overarching goal of this thesis has been to develop software tools to improve areas of neuroscience that ...
Tennøe, Simen
core   +1 more source

Pain and Patient‐Reported Physical Function Did Not Differ Among Body Composition Profiles in Patients With Hip Osteoarthritis

open access: yesArthritis Care &Research, EarlyView.
Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan   +10 more
wiley   +1 more source

Enhancing the uncertainty quantification of pyroclastic density current dynamics in the Campi Flegrei caldera.

open access: yes, 2019
In this study we present a new effort to improve the uncertainty quantification (UQ) of pyroclastic density current dynamics in the Campi Flegrei caldera, thanks to the implementation of a new 2D depth-averaged granular flow model in the Monte Carlo ...
Esposti Ongaro, Tomaso   +3 more
core  

MCNP6 UNCERTAINTY QUANTIFICATION APPLIED TO UAM-EXSERCISE I-1 [PDF]

open access: yes, 2018
Uncertainty quantification has proved itself to be a more and more important aspect of the nuclear society for best estimate predictions to be provided with their confidence bounds.
Lampunio, Lisa   +3 more
core  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Air Quality Estimation and Forecasting via Data Fusion With Uncertainty Quantification: Theoretical Framework and Preliminary Results

open access: yesJournal of Geophysical Research: Machine Learning and Computation
Integrating air quality information from models, satellites, and in situ monitors allows for both better estimation of air quality and better quantification of uncertainties in this estimation.
Carl Malings   +7 more
doaj   +1 more source

Physician‐Scientist Pipeline for Pediatric Rheumatology: The Current Landscape and Future Perspectives

open access: yesArthritis Care &Research, EarlyView.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu   +2 more
wiley   +1 more source

Conformal deep forest for uncertainty-aware classification

open access: yesJournal of King Saud University: Computer and Information Sciences
Uncertainty in deep learning models significantly impacts their performance, robustness, and reliability, making explicit uncertainty quantification a critical research focus.
Jing Zhang, Yunfei Qiu, Libo Dong
doaj   +1 more source

Efficient Uncertainty Quantification for a Fast-Spectrum Generation IV Reactor System

open access: yes, 2008
This research is part of on-going research on the management of uncertainties in simulator predictions for Generation IV systems via optimum experimental design. The focus is on uncertainties originating due to input data.
Elkins, Jason Robert
core  

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