scholarly journals ARSA-16S: A New and Conceptually Different Approach for 16S-based Taxonomic Profiling

2019 ◽  
Author(s):  
Eduardo Pareja-Tobes ◽  
Raquel Tobes
Keyword(s):  
Probability Distributions ◽  
Reference Database ◽  
New Model ◽  
Taxonomic Profiling ◽  
Model Approach

Here we describe ARSA-16S, a tool and accompanying reference database for the analysis of bacterial 16S amplicons. Among other features, ARSA-16S is based on a new model, approach, and algorithm for sequence-level assignment of reads understood as probability distributions, assigns reads individually, and is designed with non-overlapping amplicons covering two non-contiguous regions. A new set of primers for the amplification and sequencing of the V4 and V6 regions is also provided.

scholarly journals A New Model Approach for Convective Wall Heat Losses in DQMOM-IEM Simulations for Turbulent Reactive Flows

2018 ◽  
Vol 141 (5) ◽  
Author(s):  
Yeshaswini Emmi ◽  
Andreas Fiolitakis ◽  
Manfred Aigner ◽  
Franklin Genin ◽  
Khawar Syed
Keyword(s):  
Experimental Data ◽  
Heat Losses ◽  
Reacting Flow ◽  
Jet Flame ◽  
New Model ◽  
Turbulent Reactive Flows ◽  
Novel Method ◽  
The One ◽  
The Impact ◽  
Model Approach

A new model approach is presented in this work for including convective wall heat losses in the direct quadrature method of moments (DQMoM) approach, which is used here to solve the transport equation of the one-point, one-time joint thermochemical probability density function (PDF). This is of particular interest in the context of designing industrial combustors, where wall heat losses play a crucial role. In the present work, the novel method is derived for the first time and validated against experimental data for the thermal entrance region of a pipe. The impact of varying model-specific boundary conditions is analyzed. It is then used to simulate the turbulent reacting flow of a confined methane jet flame. The simulations are carried out using the DLR in-house computational fluid dynamics code THETA. It is found that the DQMoM approach presented here agrees well with the experimental data and ratifies the use of the new convective wall heat losses model.

Evaluating gene × psychological risk factor effects in the pathogenesis of anxiety: A new model approach.

2000 ◽  
Vol 109 (2) ◽  
pp. 308-320 ◽  
Author(s):  
Norman B. Schmidt ◽  
Julie Storey ◽  
Benjamin D. Greenberg ◽  
Helen T. Santiago ◽  
Qian Li ◽  
...  
Keyword(s):  
Risk Factor ◽  
New Model ◽  
Psychological Risk ◽  
Model Approach

scholarly journals The Most Probable Cosmic Scale Factor Consistent with the Cosmological Principle, General Relativity and the SMPP

2021 ◽  
Author(s):  
Arthur N. James
Keyword(s):  
General Relativity ◽  
Particle Physics ◽  
Probability Distributions ◽  
Scale Factor ◽  
Dark Sector ◽  
New Model ◽  
Cosmological Principle ◽  
Cosmic Scale ◽  
Einstein's Equation ◽  
The One

Current literature on the evolution of the cosmic scale factor is dominated by models using a dark sector, these all involve making many conjectures beyond the basic assumption that the Cosmological Principle selects a space–time metric of the Friedmann–Lemaître–Robertson–Walker type through which ordinary Standard Model of Particle Physics matter moves according to General Relativity. In this chapter a different model is made using the same basic assumptions but without making extra conjectures, it depends on following the idea introduced by Boltzmann that when physically meaningful concepts fluctuate the value which will be observed is the one which has the highest probability. This change removes the mathematically incorrect procedure of averaging the matter density before solving Einstein’s Equation, the procedure which causes the introduction of many of the conjectures. In the non-uniform era the changes are that the evolution of the scale factor is influenced by the formation of structure and removes the conjecture of having to use two inconsistent probability distributions for matter through space, one to calculate the scale factor and one to represent structure. The new model is consistent from the earliest times through to the present epoch. This new model is open and matches SNe 1a redshift data, an observation which makes it a viable candidate and implies that it should be fully investigated.

scholarly journals Towards a Bulk Approach of Local Interactions of Hydrometeors

2017 ◽  
Author(s):  
Manuel Baumgartner ◽  
Peter Spichtinger
Keyword(s):  
Governing Equations ◽  
Model Framework ◽  
Local Interactions ◽  
Cloud Droplets ◽  
New Model ◽  
Bulk Model ◽  
Mixed Phase Clouds ◽  
Small Cloud ◽  
Diffusion Properties ◽  
Model Approach

Abstract. Growth of small cloud droplets and ice crystals is dominated by diffusion of water vapour. Usually, Maxwell's approach of growth for isolated particles is used in describing this process. However, recent investigations show that local interactions between particles can change diffusion properties of cloud particles. In this study we develop an approach for including these local interactions into a bulk model approach. For this purpose, a simplified framework of local interaction is proposed and governing equations are derived from this setup. The new model is tested against direct simulations and incorporated into a parcel model framework. Using the parcel model, possible implications of the new model approach on clouds are investigated. The results indicate that for specific scenarios the lifetime of cloud droplets in subsaturated air may be longer; these effects might have impact on mixed-phase clouds, e.g. in terms of riming efficiencies.

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