Results 91 to 100 of about 3,213,103 (353)
Strain tracking with uncertainty quantification
AbstractThe ability to detect and quantify microbiota over time has a plethora of clinical, basic science, and public health applications. One of the primary means of tracking microbiota is through sequencing technologies. When the microorganism of interest is well characterized or knowna priori, targeted sequencing is often used. In many applications,
Younhun Kim +12 more
openaire +2 more sources
CLOSURE LAW MODEL UNCERTAINTY QUANTIFICATION
The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quantify ...
Strand, Andreas +4 more
openaire +2 more sources
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
wiley +1 more source
The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods.
Brian M. Adams +13 more
semanticscholar +1 more source
The Parallel C++ Statistical Library for Bayesian Inference: QUESO
The Parallel C++ Statistical Library for the Quantification of Uncertainty for Estimation, Simulation and Optimization, Queso, is a collection of statistical algorithms and programming constructs supporting research into the quantification of uncertainty
Malaya, Nicholas +2 more
core +1 more source
Uncertainty Quantification For Learned ISTA
to appear at the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023)
Hoppe, Frederik +4 more
openaire +2 more sources
Pathogenic Neurofibromatosis type 1 gene variants in tumors of non‐NF1 patients and role of R1276
Somatic variants of the neurofibromatosis type 1 (NF1) gene occur across neoplasms without clinical manifestation of the disease NF1. We identified emerging somatic pathogenic NF1 variants and hotspots, for example, at the arginine finger 1276. Those missense variants provide fundamental information about neurofibromin's role in cancer.
Mareike Selig +7 more
wiley +1 more source
NR4A1 Exerts Pro‐Tumor Role in Glioblastoma via Inducing xCT/GPX4‐Regulated Ferroptosis
ABSTRACT Purpose This study investigates NR4A1's paradoxical roles in glioblastoma (GBM) progression, focusing on its mechanistic link to ferroptosis regulation. We aimed to resolve conflicting reports of NR4A1 as both an oncogene and a tumor suppressor by defining its transcriptional control over xCT/GPX4‐mediated iron homeostasis and its clinical ...
Peng Tao +10 more
wiley +1 more source
Probabilistic analysis of concrete beams during fire [PDF]
In this paper a simple computational tool is presented, which provides insight in the time and temperature dependent reliability of concrete beams during fire.
Annerel, Emmanuel +3 more
core
Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon +12 more
wiley +1 more source

