scholarly journals Describing the Individual Spore Variability and the Parameter Uncertainty in Bacterial Survival Kinetics Model by Using Second-Order Monte Carlo Simulation

2020 ◽  
Vol 11 ◽  
Author(s):  
Hiroki Abe ◽  
Kento Koyama ◽  
Kohei Takeoka ◽  
Shinya Doto ◽  
Shigenobu Koseki
Author(s):  
Martina Kuncova

The situation on the electricity retail market in the Czech Republic is not clear because of the number of suppliers and its products. Although the information about the prices for the electricity consumption for households is available on the web and each household can change the supplier nearly with no extra effort and cost, households are still often not familiar with the individual price items of the products. In this article the analysis of the Czech electricity market from the distribution rate D25d point of view is made for the years 2017-2018 when the household annual consumption is simulated via Monte Carlo simulation model. The aim of this paper is to select such a supplier and product that minimizes the total costs of the electricity for a household for the selected distribution rate and compare it with the results from the previous years.


2003 ◽  
Vol 36 (5) ◽  
pp. 1262-1265 ◽  
Author(s):  
A. N. Falcão ◽  
F. M. A. Margaça ◽  
F. G. Carvalho

A study of the contribution of the individual channels of a converging multichannel collimator to the operation of the device is carried out by means of a Monte Carlo computer simulation. The simulation shows that the coupling between the divergence of the incident neutron beam and the inclination of the individual CMC channel axis relative to the beam direction modulates the channel performance as far as intensity and resolution of the transmitted neutrons are concerned. While this does not impair in any significant way the usefulness of the device, the results are helpful to the designer.


Diachronica ◽  
2015 ◽  
Vol 32 (3) ◽  
pp. 331-364
Author(s):  
Marwan Kilani

This paper presents an extension of Baxter & Manaster-Ramer’s (2000) approach to the problem of false cognates in the determination of relationships between languages. Their approach uses a Monte Carlo simulation to estimate how many lexical similarities we can expect to be due to chance between two lexical lists from different languages, and consequently how many are too many to be all false cognates. Although very efficient, their model has the shortcoming of being applicable only to simple lexical lists such as the Swadesh list, with one-to-one semantic correspondences between the individual terms. Here I present a new model that can be applied to any kind of word list, and can include comparisons between multiple terms sharing the same semantic field. After a theoretical description, a controlled test and a contra-test, I finally apply the method to a real test case, investigating the probability of relation between Pre-Greek, the nonIndo-European substrate of classical Greek, and Proto-Basque, Proto-Uralic and ‘Proto-Altaic’.


2020 ◽  
Vol 640 ◽  
pp. A83
Author(s):  
J. Klüter ◽  
U. Bastian ◽  
J. Wambsganss

Context. Astrometric gravitational microlensing can be used to determine the mass of a single star (the lens) with an accuracy of a few percent. To do so, precise measurements of the angular separations between lens and background star with an accuracy below 1 milli − arcsec at different epochs are needed. Therefore only the most accurate instruments can be used. However, since the timescale is on the order of months to years, the astrometric deflection might be detected by Gaia, even though each star is only observed on a low cadence. Aims. We want to show how accurately Gaia can determine the mass of the lensing star. Methods. Using conservative assumptions based on the results of the second Gaia data release (Gaia DR2), we simulated the individual Gaia measurements for 501 predicted astrometric microlensing events during the Gaia era (2014.5–2026.5). For this purpose we used the astrometric parameters of Gaia DR2, as well as an approximative mass based on the absolute G magnitude. By fitting the motion of the lens and source simultaneously, we then reconstructed the 11 parameters of the lensing event. For lenses passing by multiple background sources, we also fitted the motion of all background sources and the lens simultaneously. Using a Monte-Carlo simulation we determined the achievable precision of the mass determination. Results. We find that Gaia can detect the astrometric deflection for 114 events. Furthermore, for 13 events Gaia can determine the mass of the lens with a precision better than 15% and for 13 + 21 = 34 events with a precision of 30% or better.


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