Results of a comparative analysis of the use of quantitative NMR spectroscopy for the quality control of pharmaceuticals and drugs are presented. Diquertin, the active principle of which is the common flavonoid dihydroquercetin (taxifolin, 3,3¢,4¢,5,7-pentahydroxyflavanone), was used as an example. Quantitative 1 H NMR spectroscopy can be recommended on the basis of this comparative analysis for use when it is necessary to identify all possible impurities or to confirm the absence of toxic contaminants and also for rapid analysis of samples.
The article is devoted to the creation of a system of cartographic models of natural resources for a specific territory. The reasons for the inefficient use of natural resource information in modern Russia are described. The place of natural resource mapping in the formation of a natural resource information space is characterized. The task of systematic consideration of natural resources when creating cartographic support for solving the problems of natural resource management and environmental management planning has been set. It is proposed to develop a program for processing images in the GeoTIFF format, intended for the analysis of natural resources. The structure of the program for the planning and management of environmental management is presented. The main functional types of CMRD are outlined: inventory, estimated, forecasted, recommended. The features of their use at various stages of environmental management are identified.
The paper describes the developed software model functional for conducting experimental research of spacecraft waveguide paths induction soldering. A diagram of use cases allowing more detailed formalization of the functional requirements for the developed system from the user’s point of view has been built. The architecture of the future system is presented. A way to improve the quality of soldering in the form of solution of the experiment automation and planning problem, which has not been previously considered, is proposed. The results of the work will allow developing a system that will carry out process modeling without resorting to real tests, with data processing and analysis.
The quality of operation of neural networks in solving application problems is determined by the success of the stage of their training. The task of learning neural networks is a complex optimization task. Traditional learning algorithms have a number of disadvantages, such as «sticking» in local minimums and a low convergence rate. Modern approaches are based on solving the problems of adjusting the weights of neural networks using metaheuristic algorithms. Therefore, the problem of selecting the optimal set of values of algorithm parameters is important for solving application problems with symmetry properties. This paper studies the application of a new metaheuristic optimization algorithm for weights adjustment—the algorithm of the spiders-cycle, developed by the authors of this article. The approbation of the proposed approach is carried out to adjust the weights of recurrent neural networks used to solve the time series forecasting problem on the example of three different datasets. The results are compared with the results of neural networks trained by the algorithm of the reverse propagation of the error, as well as three other metaheuristic algorithms: particle swarm optimization, bats, and differential evolution. As performance criteria for the comparison of algorithms of global optimization, in this work, descriptive statistics for metrics of the estimation of quality of predictive models, as well as the number of calculations of the target function, are used. The values of the MSE and MAE metrics on the studied datasets were obtained by adjusting the weights of the neural networks using the cycling spider algorithm at 1.32, 25.48, 8.34 and 0.38, 2.18, 1.36, respectively. Compared to the inverse error propagation algorithm, the cycling spider algorithm reduced the value of the error metrics. According to the results of the study, it is concluded that the developed algorithm showed high results and, in the assessment of performance, was not inferior to the existing algorithm.
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