Results 141 to 150 of about 15,569,368 (309)
Solid–Liquid Flow Analysis of Francis‐99 Turbine Runner: Effects of Sediment Concentration
This study examines the behavior of solid–liquid two‐phase flow within the runner of the Francis‐99 turbine. Numerical simulations were carried out by Ansys Fluent software using the Mixture multiphase flow model along with the Realizable k‐ε turbulence ...
Kang Xu +6 more
doaj +1 more source
The Standardized Spectroscopic Mixture Model
The standardized spectral mixture model combines the specificity of a physically based representation of a spectrally mixed pixel with the generality and portability of a spectral index. Earlier studies have used spectrally and geographically diverse collections of broadband and spectroscopic imagery to show that the reflectance of the majority of ice ...
Christopher Small 0002, Daniel J. Sousa
openaire +3 more sources
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Model-based approaches to synthesize microarray data: a unifying review using mixture SEM
A considerable amount of di®erent of approaches have been proposed for synthesizing gene expression data obtained from microarray experiments. In this paper, we have a closer look at various types of Gaussian mixture models which have recently been ...
J. K. Vermunt, MARTELLA, Francesca
core
Bayesian mixture model estimation of aerosol particle size distributions
In this paper, we examine approaches to estimate a Bayesian mixture model at both single and multiple time points for a sample of actual and simulated aerosol particle size distribution (PSD) data. For estimation of a mixture model at a single time point,
Alston, C. +10 more
core +1 more source
Prediction with mixture models.
Das Lernen eines Modells für den Zusammenhang zwischen den Eingabeattributen und annotierten Zielattributen von Dateninstanzen dient zwei Zwecken. Einerseits ermöglicht es die Vorhersage des Zielattributs für Instanzen ohne Annotation. Andererseits können die Parameter des Modells nützliche Einsichten in die Struktur der Daten liefern.
openaire +2 more sources
Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers
Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui +4 more
wiley +1 more source
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
wiley +1 more source
Baysian Flexible Mixture Distribution Modelling of Dichotomous Choice Contingent Valuation with Heterogeneity [PDF]
This paper considers the performance of a model of mixture normal distributions for dichotomous choice contingent valuation data, which allows the researcher to consider unobserved heterogeneity across the sample.
Jorge E. Arana, Carmelo J. Leon
core
Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source

