Results 121 to 130 of about 44,636 (300)

Uncertainty Quantification and Integration in Engineering Systems

, 2012
A comprehensive framework for the treatment of uncertainty is essential to facilitate decision-making in engineering systems at every stage of the life cycle, such as design, manufacturing/construction, operations, system health assessment and risk ...
Sankararaman, Shankar
core  

Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer models

, 2014
International audienceWe consider the problem of estimating monotonicity properties of a scalar-valued numerical model---e.g., a finite element model combined with some post-processing. Several quantitative monotonicity indicators are introduced.
Sueur, Roman, Iooss, Bertrand, Stroh, Rémi, Vazquez, Emmanuel, Popelin, Anne-Laure, Bousquet, Nicolas, Bect, Julien, Mabille, Alice, Liu, Shijie, Rivière, Thibault   +9 more
core   +2 more sources

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi, Sola Al Ghazal, Salem Hannoun, Medhat A. Siddik, Nour M. Najjar, Jim Dagher, Joseph Abboud, Myriam G. Semaan, Samia J. Khoury   +8 more
wiley   +1 more source

Kriging regression in digital image correlation for error reduction and uncertainty quantification

Digital Image Correlation (DIC) is a widely used full-field measurement technique in the field of experimental mechanics because of its simplicity and ease of implementation.
Wang, Dezhi
core   +1 more source

UNCERTAINTY QUANTIFICATION OF PETROLEUM RESERVOIRS: A STRUCTURED BAYESIAN APPROACH [PDF]

, 2020
This thesis proposes a systematic Bayesian approach for uncertainty quantification with an application for petroleum reservoirs. First, we demonstrated the potential of additional misfit functions based on specific events in reservoir management, to gain
NANDI FORMENTIN, HELENA
core  

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

A hybrid ANN–AHP–GIS framework with dimensionality reduction and uncertainty quantification for solar site selection in Southern India

Energy Conversion and Management: X
This study presents a novel hybrid framework for assessing solar energy feasibility across nineteen sites in Southern India by combining artificial neural networks (ANN) and the analytic hierarchy process (AHP).
Radhika Guntupalli, S.K.B. Pradeepkumar CH, Bala Bhaskar Duddeti, Narendra Ankireddy, V.P. Meena, Vinay Kumar Jadoun   +5 more
doaj   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

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

Arthritis 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, Boliang Wang, Fiona Dobson, Ben Kirk, Travis Haber, Kim L. Bennell, Shirley P. Yu, Kim Allison, Ricardo J. S. Costa, Gabrielle Knox, Michelle Hall   +10 more
wiley   +1 more source

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

Arthritis 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, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source