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Accepted papers
Visualization of a graph model of medical drugs and their classes with subject to incompatibility
A.A. Karandeev, N.A. Iashin, R.A. Kudryashev
Accepted: 2023-09-11
Abstract
Currently, the world is actively undergoing digital transformation, which is associated with the introduction of digital technologies in various fields. Methods for predicting and combating various types of diseases are being developed more and more actively. A separate place in this issue is given to pharmacology and reducing the risks of poly-pharmacotherapy. Works in this area have become more and more active in the last three years, and relate primarily to the problems of experimental medicine - the search for new drugs or classification of patients by images. In this connection, the development of algorithms for processing big data in the field of clinical pharmacology, including regulatory documents, instructions for the use of drugs, reliable medical resources for machine learning and building a knowledge base focused on practical application in real medical practice, is becoming increasingly important.
One of the considered approaches for solving the problems described above is the search for an effective vector representation of the found concepts (word embedding) to build models of recommendations for the practical use of drugs based on the diagnosis and models for identifying their compatibility. The article presents a software tool for visualizing a graph model of medicines and their classes, considering their incompatibility. The problem of incompatibility of medicines is being investigated. The considered database of medicines, obtained from various sources, and the advantages of its use are described. The article presents the results of the developed prototype of a software tool that allows you to visualize a complete graph of relationships between drugs, a graph of incompatible drugs for a selected drug, and a graph of compatibility of two drugs. Graph model visualization provides a visual representation of complex relationships and allows researchers and pharmacologists to better understand interactions between drugs. The software offer the necessary tools to make informed decisions when prescribing medications and improve safety when using medicines.
Virtual Environments’ Knowledge Base: A Bibliometric Analysis
Wakara Ibrahimu Nyabakora
Accepted: 2023-09-09
Abstract
The goal of this research is to explore the scientific literature on virtual environments by conducting a bibliometric analysis. This provides the insight into the main topics, most contributing sources, most-cited articles, prolific authors, and countries that are involved in the research. Additionally, this analysis acts as a tool for understanding the intellectual foundation of the structure, worldwide research concentration on this domain, and social structure of the literature on the subject, as well as the knowledge base associated with the use and integration of virtual environments. The research was conducted by analyzing articles indexed in the Scopus database, which is believed to be the top-most database in scope regarding social sciences research. Using the PRISMA sampling technique and VOSviewer software, the data was analyzed to provide an overview of the virtual environment domain, and we reported tables, graphs, and maps to highlight the main performance indicators for the production of articles and their citation. The results show that terms such as "innovation management," "social media analysis," "business development," "digital technology," "customer engagement," "firm performance," "technology management," "virtual environment," "digital capability," and "market performance" have been used regularly. In addition, the density map reveals some of the newer topics of research, such as "industry 4.0," "sustainable development," "digital business strategies," "virtual environment," "artificial intelligence," and "big data technology." This study's results offer a deeper understanding of how the past, present, and future are connected and shed light on any topics that remain unexplored.
Application of an agent model of interactive visualization to create means of visual management of ontological data
D. S. Razdyakonov, D. I. Muromcev
Accepted: 2023-08-23
Abstract
The paper presents an agent-based model of interactive visualization and proposes a method for its application for the development of visual management tools for ontological data. The process of user interaction with visualization is represented as a graph of states, where each node is a separate visualization, the initial state is known, and the final state is formed in the process of user interaction with the ontological data visual management tool. Each individual visualization as part of the state graph is placed in a multidimensional Euclidean data space which is formed from the visualized ontology, which makes it possible to calculate the weight coefficients on the edges of the state graph and perform a search in the graph using well-known algorithms. The use of the model allows you to reduce the complexity of executing user scenarios by reducing the step-by-step construction of visualizations to the task of searching in the state space.
Modifications of classical surface reconstruction algorithms for visualization of a function defined on a rectangular grid
N.V. Munts, S.S. Kumkov
Accepted: 2023-08-13
Abstract
In the paper, modifications of visualization algorithms for real-valued functions of two and three arguments given on a rectangular or parallelepipedal grid are considered. In the case of two arguments, the graph of the function is a surface embedded into the three-dimensional space. The majority of scientific visualization systems offer visualization procedures for such surfaces, but they restore them under the assumption that the functions are continuous. In the paper, for the case of a discontinuous function, a modification of this algorithm is proposed. In addition, the algorithm removes “plateaus” that occur after cutting the function at some level (in order to remove too large values).
Visualization of a function of three arguments implies showing its level sets, that is, regions of the space of arguments where the magnitudes of the function do not exceed a certain value. In the case of a grid function, such sets are “voxel” sets, that is, they are composed of grid cells. With that, some smoothing of the surface of such sets is required, which is carried out by the Marching Cubes algorithm and algorithms of the Laplacian family. A modification of the Marching Cubes algorithm is proposed, which preserves the symmetry of the set surface with respect to the coordinate planes, axes, or some point, if the rendered set has such a symmetry.
APPLICABILITY OF VISUALIZATIONS ON THE POINCARE SPHERE FOR THE STUDY OF OSCILLATORY PROCESSES IN PHOTOCHEMICAL AND PHOTOELECTROCHEMICAL SYSTEMS INCLUDING PHOTOINDUCED PROCESSES IN SEMICONDUCTORS
O.V. Gradov
Accepted: 2023-08-05
Abstract
The use of visualization on the Poincaré sphere for the analysis of self-organization in semiconductors is quite exotic, however, it does not have physical reasons that would make it impossible to implement this approach. We propose to use the Poincaré sphere visualization method to analyze fluctuations and oscillations in the experimentally measurable concentrations of different ions in self-organizing media, including semiconductors and their precursors under conditions of photoinduced self-organization and microwave-induced self-organization (as well as to analyze the oscillatory impulse wave behavior of their self-organization products in ultrafine form as dispersed semiconductor devices). Approbation of this principle is carried out by means of projection onto the sphere of phase portraits of these types of vibrations, which is equivalent to the implementation of an operator that projects a 2D planar graph onto a 3D sphere.
Spectroscopy of testicular tissues as a tool for azoospermia visualization during micro-TESE and IVF: a feasibility study
S.O. Yudovskii, A.A. Zolotukhina, A.V. Guryleva, A.S. Machikhin, L.V. Reshetov
Accepted: 2023-07-21
Abstract
Non-obstructive azoospermia observed in 10% of infertile men and 0,6% of all men is the most severe form of male infertility. The histological structure of testicular tissue in patients with non-obstructive azoospermia is heterogeneous and is represented by various disorders of spermatogenesis. The only way to achieve pregnancy in the families of patients with non-obstructive azoospermia is the method of in vitro fertilization with intracellular sperm injection. The most effective method of detecting spermatozoa suitable for in vitro fertilization in testicles is the micro-TESE method. It is based on a subjective visual assessment of tissues and allows detecting spermatozoa in non-obstructive azoospermia only in 38-60% of cases. To increase the effectiveness of micro-TESE, the method used must be objective, high-specificity, safe for reproductive cells, and also implemented during the operation in real time. The existing approaches to solving the problem of identifying seminal tubules with preserved spermatogenesis, such as multiphoton microscope, Raman spectroscopy, optical coherence tomography and etc., are either associated with the use of laser radiation with unproven safety or cannot be implemented intraoperatively and operationally. The paper considers the possibility of creating a specialized microsurgical system for intraoperative evaluation of testicular tissues histological structure using the spatial distribution of its spectral characteristics. We proposed to implement such a system based on multispectral imaging of the studied tissues with real-time data processing and displaying the results using augmented reality methods. The reflectance spectrum of testicular tissue with varying degrees of preservation of spermatogenesis in the visible and near infrared spectral ranges was studied. Spectral regions were identified that potentially provide the best differentiation of healthy tissues and tissues with impaired spermatogenesis. The described approach can be implemented intraoperatively and safely and may serve to automate and objectify the diagnosis of testicular tissues in micro-TESE.
Visualization of radiation scattering indicatrix on a polydisperse system of spherical particles
M.V. Sapronov, S.S. Usmanova
Accepted: 2023-07-19
Abstract
The article is devoted to solving the direct problem of light scattering on an ensemble of spherical polydisperse particles. The paper presents an algorithm for computer simulation of the optical radiation scattering indicatrix by a particle system based on the theory of G. Mi. The influence of the relative complex refractive index of scattering centers and their size distribution, wavelength and polarization state of incident light on computer models of scattering indicatrix is investigated. The practical significance of the results obtained lies in the fact that computer models of scattering indicatrix are useful in the experimental study of dispersed systems by static light scattering for the optimal choice of installation parameters and experimental conditions and, more importantly, in solving the inverse problem of the static light scattering method to restore the characteristics of nanoparticles from experimental data.
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