Self-Propagating High Temperature Synthesis of Composition Materials using Mineral Raw Materials

The possibility of obtaining multicomponent refractory composition materials on the basis of quarts containing raw material by SHS method was studied. The use of a modifying carbon additive in the form of graphite power, carbonized rice husk, apricot stones and shungit was considered. It is shown that a complex use of preliminary mechanochemical activation (MA) and modification of the charge mixture with carbon containing additives contributes to formation of carbide and nitride phases in synthesis products

The impact of uncertainty on predictions of the CovidSim epidemiological code

Data availability Figure 1a,b displays publicly available cumulative death count data for the UK, which were obtained from ref. 22. Source Data are available with this paper. Furthermore, the parameter list—with all input parameters, a description, their default values and reasons for inclusion or exclusion from the Imperial College London CovidSim team—is available as Supplementary Data. Supplementary information: https://static-content.springer.com/esm/art%3A10.1038%2Fs43588-021-00028-9/MediaObjects/43588_2021_28_MOESM1_ESM.pdf Supplementary discussion, Figs. 1–7 and Table 1. Supplementary Data 1: https://static-content.springer.com/esm/art%3A10.1038%2Fs43588-021-00028-9/MediaObjects/43588_2021_28_MOESM2_ESM.xlsx All input parameters, a description, their default values and reasons for inclusion or exclusion from the Imperial College London CovidSim team. Source data Source Data Fig. 1: https://static-content.springer.com/esm/art%3A10.1038%2Fs43588-021-00028-9/MediaObjects/43588_2021_28_MOESM3_ESM.xlsx The computed cumulative death results for Fig. 1 and the observed death count data. Source Data Fig. 2: https://static-content.springer.com/esm/art%3A10.1038%2Fs43588-021-00028-9/MediaObjects/43588_2021_28_MOESM4_ESM.xlsx The Sobol indices of Fig. 2.Copyright © 2022 The Autor(s). Epidemiological modelling has assisted in identifying interventions that reduce the impact of COVID-19. The UK government relied, in part, on the CovidSim model to guide its policy to contain the rapid spread of the COVID-19 pandemic during March and April 2020; however, CovidSim contains several sources of uncertainty that affect the quality of its predictions: parametric uncertainty, model structure uncertainty and scenario uncertainty. Here we report on parametric sensitivity analysis and uncertainty quantification of the code. From the 940 parameters used as input into CovidSim, we find a subset of 19 to which the code output is most sensitive—imperfect knowledge of these inputs is magnified in the outputs by up to 300%. The model displays substantial bias with respect to observed data, failing to describe validation data well. Quantifying parametric input uncertainty is therefore not sufficient: the effect of model structure and scenario uncertainty must also be properly understood.Royal Society’s RAMP initiative: European Union Horizon 2020 research and innovation programme under grant agreement nos. 800925 (VECMA project; www.vecma.eu) and 823712 (CompBioMed2 Centre of Excellence, www.compbiomed.eu); UK EPSRC for the UK High-End Computing Consortium (grant no. EP/R029598/1)

MACROECONOMIC ANALYSIS OF THE SECURITIES MARKET OF THE REPUBLIC OF ARMENIA

The article deals with the problems of the development of the securities market of the Republic of Armenia. The main changes that have occurred in recent years in the securities market in the Republic of Armenia have been investigated. Methods for analyzing the securities market of the Republic of Armenia are proposed. The indicators of the securities market are considered and the main trends of its development are revealed. This article presents the structure of the securities market of the Republic of Armenia in terms of trading volume. We chose the macroeconomic analysis as a method of our research, as it constitutes an integral element for the fundamental analysis of the securities market. With the help of the macroeconomic analysis an investor effects vigilance and analyses of the basic economic indicators; thus he also defines the extent of their influence on the securities market dynamic It is the macroeconomic analysis that provides investors with the possibility to define which element of the financial market (securities, currency, credit) is currently the most profitable and attractive for to invest into

FabCovidsim

This is a FabSim3 / EasyVVUQ plugin for Covid-19 simulation. It was used to compute the ensembles of the following paper: Edeling, Wouter and Hamid, Arabnejad and Sinclair, Robert and Suleimenova, Diana and Gopalakrishnan, Krishnakumar and Bosak, Bartosz and Groen, Derek and Mahmood, Imran and Crommelin, Daan and Coveney, Peter, The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code, 2020