Optimization of Model Parameters, Uncertainty Quantification and Experimental Designs for a Global Marine Biogeochemical Model [PDF]
Methods for model parameter estimation, uncertainty quantification and experimental design are summarized in this paper. They are based on the generalized least squares estimator and different approximations of its covariance matrix using the first and second derivative of the model regarding its parameters. The methods have been applied to a model for
arxiv
Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis. [PDF]
Iskandar R.
europepmc +1 more source
Localization accuracy of 6‐second CBCT for lung IGRT with various breathing patterns
Abstract Purpose The 6‐second cone beam computed tomography (CBCT) acquisition of the Ethos HyperSight (Varian Medical Systems, Inc. Palo Alto, CA, USA) on‐board imaging system offers benefits, but could be too fast to accurately capture an average target position in a free‐breathing lung cancer patient. This study aimed to ascertain whether a 6‐second
Jihye Koo+5 more
wiley +1 more source
Accelerated Bayesian calibration and uncertainty quantification of RANS turbulence model parameters for stratified atmospheric boundary layer flows [PDF]
In operational weather models, the effects of turbulence in the atmospheric boundary layer (ABL) on the resolved flow are modeled using turbulence parameterizations. These parameterizations typically use a predetermined set of model parameters that are tuned to limited data from canonical flows.
arxiv
Diagnostic Challenge in Frontal Variant Alzheimer's Disease With Low Amyloid‐β PET Retention
ABSTRACT Diagnosing frontal variant Alzheimer's disease (fvAD) is difficult and could be even more difficult when amyloid‐beta (Aβ) PET retention is low. A 63‐year‐old woman presenting with a 3‐year history of apathy and memory impairment showed executive dysfunction, memory impairment, and severe bilateral frontotemporal atrophy on MRI.
Ryosuke Shimasaki+5 more
wiley +1 more source
Meta-analysis of the severe acute respiratory syndrome coronavirus 2 serial intervals and the impact of parameter uncertainty on the coronavirus disease 2019 reproduction number. [PDF]
Challen R+3 more
europepmc +1 more source
ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen+11 more
wiley +1 more source
Application of the Modular Bayesian Approach for Inverse Uncertainty Quantification in Nuclear Thermal-Hydraulics Systems [PDF]
In the framework of BEPU (Best Estimate plus Uncertainty) methodology, the uncertainties involved in the simulations must be quantified to prove that the investigated design is acceptable. The output uncertainties are usually calculated by propagating input uncertainties through the simulation model, which requires knowledge of the model input ...
arxiv
Robust linear quadratic designs with real parameter uncertainty [PDF]
Joel Douglas, Michael Athans
openalex +1 more source
Compound Heterozygous MRPS14 Variants Associated With Leigh Syndrome
ABSTRACT MRPS14 (uS14m) is a nuclear‐encoded ribosomal protein important for mitochondria‐specific translation. To date, only a single individual with a recessive MRPS14‐related disorder (also known as COXPD38) has been reported. We report an additional subject possessing novel compound heterozygous MRPS14 variants (p.Asp37Asn, p.Asn60Asp). The subject
Maria Gabriela Otero+15 more
wiley +1 more source