KEYWORDS: Data modeling, Data analysis, Performance modeling, Education and training, Process modeling, Monte Carlo methods, Machine learning, Analytical research, Navigation systems, Intelligence systems
An intelligent web portal for analysing and forecasting the exchange rate of commodity money has been developed. The result of this research is a comprehensive system that allows for the analysis of the commodity money market, including price forecasting and risk assessment. The study identified the prophet method for predicting the exchange rate of a commodity unit and the monte carlo method for predicting the value of an investment portfolio with various assets. These methods allow us to reliably determine future trends based on the analysis of available data. To implement the web portal, we used the streamlit framework, which allows us to quickly develop interactive web applications using machine learning and data analysis tools. The scikit-learn library was used to work with machine learning, which has a wide range of tools for applying classical machine learning methods. The yfinance library was also used to retrieve financial data from the Yahoo Finance web service.
This article explores the innovative possibilities of Amazon Web Services (AWS) cloud computing for the calculation of complex optical fields. Complex optical fields are prevalent in various scientific and engineering applications, often posing significant computational challenges. By harnessing the scalability and resources of AWS, researchers and professionals can efficiently and cost-effectively address complex computations. This article discusses the advantages, possible solutions, and potential impact of utilizing AWS for tackling intricate mathematical problems.
The results of applying algorithms for reconstructing parameters characterizing the linear dichroism of networks of biological crystals in differentiating changes in optical anisotropy associated with varying degrees of severity of pathology, pre-cancerous (atrophy and endometrial polyp) states of the cervix are presented.
The results of the study of the possibilities of the method of differential Mueller-matrix mapping of the completely polarized polycrystalline component of the optically thick layers of the myocardium dead due to coronary heart disease (CHD) and acute coronary insufficiency (ACI) are presented.
This report contains theoretical algorithm for the differential representation of a phaseinhomogeneous biological object as a set of consecutively located optically anisotropic layers; theoretical algorithms for the decomposition of the Mueller-matrix of the diffuse biological layer in the basis of differential matrices of the 1st and 2nd orders; analytical relations for determining the magnitude of the set of elements of differential matrices of the 1st and 2nd orders;information and characteristics of optical schemes of experimental devices.
The materials of experimental testing of the Stokes-polarimetry method using a reference laser wave are presented. The results of layer-by-layer measurement of coordinate distributions of the magnitude of the ellipticity of the polarization of laser radiation converted by polycrystalline films of biological fluids are presented. In the framework of the statistical and cross-correlation approaches, the values and ranges of changes in the statistical and correlation moments of the 1st to 4th orders of magnitude characterizing the distribution of the ellipticity of the polarization of laser radiation converted by polycrystalline networks in different phase sections are determined.
The results of the multifunctional Stokes polarimetric mapping of the manifestations of phase and amplitude anisotropy of histological sections of the internal organs of rats are presented. The methods of statistical analysis of vector-parametric images are used. Criteria for the differentiation of pathological conditions are obtained.
The principles of the use of fractal analysis in the problems of polarization mapping of microscopic images of biological preparations are considered. Myocardial tissue of the deceased with various pathological and necrotic changes was selected as the object of study. A model of the polycrystalline structure of such an object is proposed. Obtained maps of the ellipticity of the polarization of microscopic images of such an object. Within the framework of fractal analysis, the statistical moments of the 1st - 4th orders were found, which characterize the distribution of the logarithmic dependences of the power spectra of polarization ellipticity maps. The criteria for differentiation of various pathological states of myocardial tissue are determined.
This report contains the results of approbations of the polarization correlometry method (PCM) – statistical mapping of biological tissues fractal structure (myocardium and brain - “fibrillar optically anisotropic networks” and the wall of the rectum - “island optically anisotropic structures”) and liquids (polycrystalline films of synovial fluid - a superposition of “structured and island networks of biological crystals").
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