scholarly journals Adaptive Bayesian algorithm for achieving desired quantum transition

2021 ◽  
Author(s):  
Chengyin Han ◽  
Jiahao Huang ◽  
Xunda Jiang ◽  
Ruihuan Fang ◽  
Yuxiang Qiu ◽  
...  
Keyword(s):  
Quantum Transition ◽  
Bayesian Algorithm

scholarly journals STRONG: metagenomics strain resolution on assembly graphs

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Christopher Quince ◽  
Sergey Nurk ◽  
Sebastien Raguideau ◽  
Robert James ◽  
Orkun S. Soyer ◽  
...  
Keyword(s):  
Time Series ◽  
De Novo ◽  
Single Copy ◽  
Bayesian Algorithm ◽  
Anaerobic Digestor ◽  
Core Genes

AbstractWe introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from multiple metagenome samples. STRONG performs coassembly, and binning into metagenome assembled genomes (MAGs), and stores the coassembly graph prior to variant simplification. This enables the subgraphs and their unitig per-sample coverages, for individual single-copy core genes (SCGs) in each MAG, to be extracted. A Bayesian algorithm, BayesPaths, determines the number of strains present, their haplotypes or sequences on the SCGs, and abundances. STRONG is validated using synthetic communities and for a real anaerobic digestor time series generates haplotypes that match those observed from long Nanopore reads.

The symmetric C-D stretching spectator mode in the H+CHD3→H2+CD3 reaction and its effect on dynamical modeling

2021 ◽  
Author(s):  
Bin Zhao
Keyword(s):  
Transition State ◽  
Quantum Transition ◽  
Dynamical Modeling ◽  
Vibrational Excitations

The symmetric C-D stretching mode is a spectator mode in the H+CHD3→H2+CD3 reaction. Effects of multiple vibrational excitations of the CHD3 reactant are studied with the quantum transition-state (QTS) framework...

scholarly journals Optimization of Aerosol Model Selection for TROPOMI/S5P

2021 ◽  
Vol 13 (13) ◽  
pp. 2489
Author(s):  
Lanlan Rao ◽  
Jian Xu ◽  
Dmitry S. Efremenko ◽  
Diego G. Loyola ◽  
Adrian Doicu
Keyword(s):  
Model Selection ◽  
Insufficient Information ◽  
Satellite Measurements ◽  
Model Uncertainties ◽  
Bayesian Algorithm ◽  
Layer Height ◽  
Aerosol Model ◽  
Selection For ◽  
Temporal Inhomogeneity ◽  
Aerosol Properties

To retrieve aerosol properties from satellite measurements, micro-physical aerosol models have to be assumed. Due to the spatial and temporal inhomogeneity of aerosols, choosing an appropriate aerosol model is an important task. In this paper, we use a Bayesian algorithm that takes into account model uncertainties to retrieve the aerosol optical depth and layer height from synthetic and real TROPOMI O2A band measurements. The results show that in case of insufficient information for an appropriate micro-physical model selection, the Bayesian algorithm improves the accuracy of the solution.

Comment on Quantum Transition State Theory

1996 ◽  
Vol 100 (29) ◽  
pp. 11893-11902 ◽  
Author(s):  
Stuart A. Rice ◽  
Soonmin Jang ◽  
Meishan Zhao
Keyword(s):  
Transition State ◽  
Transition State Theory ◽  
State Theory ◽  
Quantum Transition

scholarly journals Evaluation of a Bayesian Algorithm to Detect Burned Areas in the Canary Islands’ Dry Woodlands and Forests Ecoregion Using MODIS Data

2018 ◽  
Vol 10 (5) ◽  
pp. 789 ◽  
Author(s):  
Francisco Guindos-Rojas ◽  
Manuel Arbelo ◽  
José García-Lázaro ◽  
José Moreno-Ruiz ◽  
Pedro Hernández-Leal
Keyword(s):  
Canary Islands ◽  
Bayesian Algorithm ◽  
Modis Data ◽  
Burned Areas

Quantum transition of a deuteron beam

1992 ◽  
Vol 166 (5-6) ◽  
pp. 416-418 ◽  
Author(s):  
Richard L. Liboff
Keyword(s):  
Deuteron Beam ◽  
Quantum Transition

Insights into the determination of molecular structure from diffraction data using a Bayesian algorithm

2013 ◽  
Vol 25 (45) ◽  
pp. 454217 ◽  
Author(s):  
A Henao ◽  
M Rovira-Esteva ◽  
A Vispa ◽  
J Ll Tamarit ◽  
E Guardia ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Diffraction Data ◽  
Bayesian Algorithm
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