bluuebunny/crossref_metadata_2025 huggingface dataset:
The Scholar-Fighter: Chang Nai-zhou and His Book on Martial Art
Authors: Maliavin V. V
Published: October 2024

The article explores the theoretical foundations, practical techniques and social context of the martial art school created in the late 18th century by Chang Naizhou, a native of Henan рrov. An educated man, Chang left a detailed description of the principles and methods of his school. The legacy of Chang Naizhou and the emergence of a large number of enthusiasts of martial arts among the educated elite of society indicates the formation in Qing China a new synthesis of elite and popular culture, which combined the traditions of Confucianism, Taoist and Buddhist selfcultivation and the folklore motifs. A stratum of professional fighters emerged, closely integrated both with the local society and its paramilitary formations (self-defense units, sworn brotherhoods, associations of participants in temple festivals, schools of martial arts, etc.) and the ruling elite of the empire and its military administration. At the heart of Chang Naizhou's method is the concept of configurations of force (shi 势), which are created by the action of the vital energy of the organism (so-called qi 气) and in turn strengthen and direct this action. The primary substrate of this energy is the so-called "centered qi", which in the spiritual-somatic practice of martial arts generates a great variety of properties and qualities of life experience and makes possible the unity of consciousness and physical body. The force in this case is the result of an interaction of the polar elements of Being. Chang Naizhou introduces many original concepts and techniques of martial art, but his outlook is determined by the common arsenal of Chinese tradition. Thus, his school reflected the nature of the whole Chinese civilization: the diversity of forms rooted in a comprehensive structural unity.
Language Policy of the PRC at the Present Stage (2021–2024): Main Directions and Features of Implementation
Authors: Guruleva T. L
Published: October 2024

The purpose of the article is to identify the main directions of the language policy of the PRC at the present stage (2021–2024) based on the analysis of regulatory documents and the system of activities carried out in the field of language and writing, as well as the characteristic features of its implementation. As a result of the study, it was revealed that the main directions of the language policy of the PRC at the present stage are: 1) further popularization and dissemination of Putonghua; 2) further formation of the norms of the commonly used Putonghua language and the system of normative hieroglyphic writing and their consolidation in various standards; 3) improving the processes of inheritance and development of the Chinese language and culture; 4) development of a modern high-quality state system of language services provided to the population; 5) protecting China's linguistic and cultural diversity; 6) strengthening the spread of Chinese Putonghua abroad, strengthening the international status and influence of the Chinese language. The characteristic features of the implementation of the language policy of the PRC at the present stage were also identified, including the functioning of a new regulatory framework that determines the directions of language policy after 2020; intensive development of existing and implementation of new projects; expansion of the processes of normatization and standardization to all aspects and areas of language and writing; using a specialized exam/test as a tool for measuring language proficiency; complete transition of preschool education in national regions to the Putonghua language and transformation of the existing bilingual education system; the success of informatization and digitalization of the Chinese language and its hieroglyphic writing.
Application of Anal Manometry in the Planning for Anal Fistula Surgery
Authors: Wilson Gao Xiaobin , Zhou Yufeng , Tsang Charles B , Seah Aileen
Published: October 2024

Anal fistula does not heal spontaneously without surgery, and anal function should be preserved after muscle dissection, which is a challenge even to the most experienced surgeon. In order to develop a planner for anal fistula surgery, anal manometry used in the measurement of pressures in the anal canal to investigate the anal function is reviewed. In this review paper, current techniques are described and compared with each other, and technical and clinical challenges are discussed. There are four types of catheters used to measure anal sphincter pressure: water-perfused, solid-state, air-coupled, and fiber optic catheter. Parameters acquired by anal manometry and their relationship with fecal incontinence after anal fistula surgery are discussed. Vectormanometry can provide the pressure profile along the anal canal in three dimensional space, pressure vectorgram, and cross-sectional radial asymmetry, which have more advantages than the conventional method. Understanding the technology and development of anal manometry is critical for the anal fistula surgical planning. A novel design is highly desired for 3D pressure profile measurement along the entire anal canal simultaneously without pulling the catheter.
Pengaruh Penambahan Arang Aktif Biji Salak dengan Aktivator NaOH sebagai Adsorben Pemurnian Minyak Jelantah
Authors: Destiana Irna Dwi , Fathurrohman Ferdi , Setiawati Triyani
Published: October 2024

Pemakaian minyak goreng berulang dapat merusak karakteristik fisik dan kimia minyak dikenal sebagai minyak jelantah. Faktor memperbaiki mutu minyak jelantah dengan memurnikannya menggunakan arang aktif biji salak. Proyek Akhir ini bertujuan untuk mengetahui pengaruh konsentrasi adsorben arang aktif biji salak terhadap karakteristik minyak setelah pemurnian. Metode Proyek Akhir ini menggunakan Rancangan Acak Lengkap (RAL) dengan penambahan arang aktif biji salak, P0 (0%) P1 (2,5%) P2 (5%), dan P3 (7,5%) 3 kali ulangan. Parameter yang diamati kadar asam lemak bebas, bilangan peroksida, kadar air dan bahan menguap, perubahan aroma dan warna. Pengolahan data menggunakan ANOVA, dilanjutkan dengan uji DMRT dengan taraf signifikan 5%. Hasil penelitian menunjukkan bahwa konsentrasi adsorben arang aktif biji salak pada pemurnian minyak jelantah berpengaruh nyata (P<0,05) terhadap karakteristik kimia, yaitu kadar asam lemak bebas, bilangan peroksida, namun tidak berpengaruh nyata terhadap kadar air dan bahan menguap, warna serta aroma minyak jelantah. Semakin tinggi penambahan konsentrasi adsorben maka kualitas minyak jelantah akan semakin meningkat. Perlakuan konsentrasi terbaik pada pemurnian minyak jelantah yaitu P2 (5%) dengan kadar air dan bahan menguap 0,27%, kadar asam lemak bebas 0,27%, bilangan peroksida 13 mek O2/ kg, perubahan warna dan aroma  menunjukkan agak lebih baik dari kontrol (P0).
Development of a Color-Based Image Recognition System for Robotic Sorting and Picking
Authors: Sidehabi Sitti Wetenriajeng , Azis Muhammad Fadli , Asbar Muhammad
Published: October 2024

This research presents the development of an automated object sorting and picking system using a robotic arm controlled by colour-based image recognition. The system is designed to enhance efficiency and accuracy in manufacturing processes by eliminating the need for manual sorting. A Dobot Magician robotic arm, an Arduino microcontroller, a conveyor belt, a photoelectric sensor, and a camera are integrated to achieve this goal. Colour segmentation is implemented using the HSV colour space, enabling the system to accurately classify objects based on colour. Experimental results demonstrate the system's ability to successfully sort objects of three colours in a random sequence with 100% accuracy over ten trials.
Impact of complex rehabilitation on the asthma control in obese patients
Authors:   N.N. Burdenko Voronezh State Medical University, Voronezh, Russian Federation, Tribuntseva L.V. , Budnevsky A.V ,   N.N. Burdenko Voronezh State Medical University, Voronezh, Russian Federation, Prozorova G.G. ,   N.N. Burdenko Voronezh State Medical University, Voronezh, Russian Federation, Choporov O.N. ,   N.N. Burdenko Voronezh State Medical University, Voronezh, Russian Federation, Olysheva I.A. ,   N.N. Burdenko Voronezh State Medical University, Voronezh, Russian Federation
Published: October 2024

Background: to achieve control of asthma and reduce mortality, as well as improve the patients' quality of life, it requires not only the new drugs development and improvement of stepwise therapy regimens but also new approaches to comprehensive individual rehabilitation programs for patient management. Aim: to assess the impact of comprehensive rehabilitation programs on asthma control, pulmonary function, motor activity, and quality of life (QOL) in multimorbid patients with asthma and obesity. Patients and Methods: 70 patients with asthma and obesity were divided into 2 groups of 35 subjects: group 1, in which patients underwent a rehabilitation program, and group 2, patients who were only under the outpatient supervision of a pulmonologist.The following tests were conducted twice: Asthma Control Questionnaire (ACQ-5), Cumulative Illness Rating Scale (CIRS) for assessing the multimorbid profile, 6-minute walk test for identifying the functional capacity, ODA23+ for motor activity assessment, QOL according to Asthma Quality of Life Questionnaire (AQLQ), pulmonary function test. Results: the patients were comparable in all assessed parameters. Functional capacity in both groups corresponded to the class I. The motor activity level according to ODA23+ was low to moderate. In group 1, the CIRS index was 10.0±1.1, in group 2 – 9.2±1.1 (p>0.005). After rehabilitation actions in group 1, the BMI decreased by 0.7 kg/m2 and waist circumference by 3.3 cm (p<0.05), motor activity increased from 63.8±4.9 to 70.4±4.5 (p<0.0001). In group 2, motor activity increased unreliably: the number of patients with low motor activity increased by 11.4%. The level of asthma control according to ACQ-5 in group 1 was 1.2±0.1, in group 2 — 1.58±0.1 (p<0.05). QOL in group 1 increased from 3.8±0.4 to 4.5±0.3 (p<0.0001) in all major domains except the emotional function, which increased unreliably (p>0.05). In group 2, QOL did not change significantly (p>0.05). Conclusion: to increase the level of asthma control, multimorbid patients with preserved rehabilitation potential should be offered multicomponent rehabilitation programs that affect both asthma and concomitant diseases. The use of rehabilitation programs improves the asthma control, increases the QOL of obese patients, promotes weight loss, increases motor activity level and functional capacity.
Implementasi Metode Artificial Bee Colony Untuk Penempatan Distributed Generator Pada Penyulang Rayon Tanjung
Authors: Hidayat Rahmat , Lomi Abraham , Budi Sulistiawati Irrine
Published: October 2024

Distributed Generation (DG) is a power plant that is spread over the power distribution network. In principle, electrical power output is generated by power plants located far from the load center and electrical power is transmitted to the load center through transmission and distribution networks. The longer the cable from the power plant or substation, the lower the voltage at the end load. Sub-optimal DG placement and size can result in increased power losses and affect the system voltage profile. In addition, suboptimal generation capacity can lead to voltage instability, reduced system security, and potential impacts on system frequency and emissions. Therefore, this study will use the Artificial Bee Colony (ABC) method to determine the optimal DG capacity and location. In the base case condition, the power losses in the system are 118 KW and 99 Kvar. Power losses after the installation of 1 DG active power loss becomes 37.4 KW and reactive power loss becomes 31.65 Kvar. Placement of 2 DGs reduces active power loss to 17 KW and reactive power loss to 15 Kvar. While the placement of 3 DG reduces active power loss to 33 KW and reactive power loss to 28 KVar.
Frekuensi Gangguan dan Energi Tak Tersalurkan Sebagai Indikator keandalan Sistem Jaringan Tegangan Menengah
Authors: Rusliadi Rusliadi , La Elo Yulianto
Published: October 2024

The increasing need for electrical energy must be balanced with improved customer service. Customers will feel comfortable if they can enjoy an uninterrupted electricity supply in the form of a disconnection of the electricity supply for a certain period of time or what is commonly called the ENS (Energy Not Supplied) index and the AENS (Average Energy Not Supplied) index. The reliability of the electric power system is one of the things that is very important in order to maintain the performance of the three main pillars of PT. PLN (Persero). A reliable distribution network can be seen from the number of disruptions that often occur in the distribution network. Disruptions that arise in the distribution network arise due to internal factors such as less reliable distribution network components. In addition, it can also be caused by external factors such as natural disasters or the influence of trees and animals. Based on the results of the research that has been conducted, it is known that the occurrence of disruptions and the length of the duration of the disruption cause the Energy Not Supplied (ENS) value to increase as in April and July, the high duration of the blackout also makes the ENS higher, namely 792.857804 kW and 789.046811 kW. However, the distribution network at the Wagom feeder is still considered reliable in distributing electrical energy based on the SAIDI and SAIFI indices. From the research results, the SAIDI index at the Wagom feeder reached 8.96 hours/customer/year. While the SAIFI index at the Wagom feeder reached 2.08 times/customer/year.
Expressive Writing Therapy Pada Pasien Gangguan Persepsi Sensori: Halusinasi
Authors: Nurjannah Siti , Wahyuni Sri , Rosdiar Rosdiar
Published: October 2024

Latar Belakang: Skizofrenia adalah gangguan mental serius yang dapat mempengaruhi pikiran, perasaan, dan perilaku seseorang. Tanda dan gejala skizofrenia termasuk halusinasi. Studi kasus ini bertujuan untuk menjelaskan terapi yang dapat mengurangi tanda dan gejala halusinasi menggunakan terapi umum dan terapi penulisan ekspresif kombinasi.
Metode: Studi kasus ini menggunakan instrumen Psychotic Symptom Rating Scales (PYSRAT) untuk mengukur tanda dan gejala halusinasi. Terapi ini diberikan secara tatap muka untuk 3 pasien, dimana intervensi dilakukan dua kali sehari selama 20-30 menit selama 6 hari.
Hasil: Studi kasus ini menemukan bahwa manfaat terapi ditunjukkan dengan penurunan nilai PSYRAT (Psychotic Symptom Rating Scale) sebelumnya pada Ibu S dari 25 (fase halusinasi berat) turun menjadi 12 (fase halusinasi sedang), pada Ibu RM dari 18 (halusinasi sedang) menjadi 6 (halusinasi ringan), dan pada Ibu RD dari 19 (fase halusinasi sedang) menjadi 7 (fase halusinasi ringan).
Kesimpulan: Berdasarkan hasil penerapan perawatan keperawatan ini, disarankan agar perawat jiwa dapat melakukan intervensi dalam terapi penulisan ekspresif dalam pengelolaan pasien skizofrenia dengan halusinasi auditorik.
Modernization of Religious Courts: An Analysis of the Effectiveness of Mediation Through E-Court in Resolving Divorce Cases in Padang
Authors: Firdaus Firdaus , Harahap Titi Martini , Sasralina Rika , Syamsurizal  , Zhuliansyah Teddy Rahmat
Published: October 2024

This study is important to understand the effectiveness of e-Court in handling divorce cases involving mediation, especially in the Class 1A Religious Court of Padang. Although e-Court has improved administrative efficiency and access, there are gaps in the effectiveness of online mediation, especially in cases involving emotional conflict or domestic violence. These limitations indicate the need for a more in-depth approach to addressing the emotional dimension in the e-Court process as well as improving technical support and staff competence. The object of this study is e-Court as a means of divorce proceedings, with a focus on analyzing the effectiveness of the legal process in cases requiring mediation. This study uses a qualitative descriptive method through in-depth interviews and observations. Primary data were obtained from key informants such as judges, e-Court employees, advocates, and the community, while secondary data were taken from related literature. The findings show that e-Court is effective in terms of ease of access, process efficiency, decision quality, and user satisfaction. Although technological infrastructure supports accessibility, improvements in internet access are still needed. E-Court reduces case handling time, but physical interaction is still needed. User satisfaction is high, although there are complaints about the system sometimes experiencing errors, as well as the need for further training for employees to improve competence.
EVALUASI SOFTWARE VISUAL STUDIO CODE MENGGUNAKAN METODE QUETIONNAIRES NELSEN'S ATTRIBUTES OF USABILITY (NAU)
Authors: Nur Aeni Hidayah  , Rofiqoh Nurlela
Published: October 2024

ABSTRAK
Penelitian ini bertujuan untuk mengevaluasi software Visual Studio Code, serta untuk menilai dan menganalisis seberapa baik Visual Studio Code memenuhi berbagai aspek usability menurut kriteria yang dikemukakan oleh Jakob Nielsen. Tujuan utama dari pengukuran usability adalah untuk memastikan bahwa perangkat lunak dapat digunakan dengan efisien, efektif, dan memuaskan oleh pengguna yang dituju. Penelitian ini menggunakan metode Nelsen's Attributes of Usability terdiri dari aspek learnability, efficiency, memorability, error, serta satisfaction. melibatkan 93 responden berjumlah 34,8% perempuan dan 65,2% laki laki. Data dikumpulkan melalui kuesioner yang dibagikan kepada pengguna Visual Studio Code. Hasil penelitian menunjukkan bahwa Visual Studio Code memiliki nilai learnability, efficiency, dan memorability yang tinggi. Namun, nilai errors dan satisfaction masih tergolong rendah. Dari perolehan keseluruhan total evaluasi usability terdapat 3,06 % (Netral) dari penilaian sekala likert. Berdasarkan penelitian yang dilakukan, dapat disimpulkan bahwa software visual studio code mudah untuk digunakan, hanya saja perlu sedikit perbaikan pada tampilan yang dimiliki saat ini.
Clinical Course and Outcomes of Brain Tumor Patients Admitted to Medical Intensive Care Unit: A Descriptive Analysis
Authors: Beniwal Anisha , Beniwal Hemant , Verma Manoj
Published: October 2024

Background: There is a shortage of data on brain tumor patients admitted in to intensive care unit (ICU) from developing countries. We aimed to assess the clinical course and 30-day mortality with factors affecting the mortality of brain tumor patients who were admitted to medical ICU.Methods: This study was a single-centre retrospective observational cohort study and was conducted in a medical ICU of a tertiary care center in India. We included 42 patients admitted in to the medical oncology ICU over 3 years. Data regarding demographics, baseline characteristics, clinical and laboratory data, need for organ support, and 30-day mortality were collected. Factors associated with increased mortality in these patients were determined.Results: Overall 30-day mortality was 30.95%. The most common indication for ICU admission was altered sensorium (57.1%) followed by sepsis (23.8%). Age [odds ratio, OR: 0.843 (95% confidence interval, CI: 0.721–0.986)], and need for invasive mechanical ventilator (IMV) support [OR: 484.62 (95% CI: 2.707–8676.02)] or vasopressor support [OR: 523.83 (95% CI: 2.12– 3,023.13)] were directly associated with 30-day mortality. Severity indices such as Sequential Organ Failure Assessment (SOFA) score, SAPS II (Simplified Acute Physiology Score II), and Acute physiology and chronic health evaluation II (APACHE II), APACHE III and APACHE IV scores were higher in non-survivors than survivors.Conclusion: Advancing age and need for IMV or vasopressor support may be associated with worse prognosis in brain tumor patients admitted in to ICU. A scoring system could be used along with clinical judgement to triage brain tumor patients for ICU admission.
Application of the Method of Two-Sided Approximations for Finding Positive Axially Symmetric Solutions of Boundary Value Problems with Monotone Nonlinearities
Authors:   Kharkiv National University of Radio Electronics, Parkhomenko Vladyslav , Sidorov Maxim ,   Kharkiv National University of Radio Electronics
Published: October 2024

This paper considers the application of the method of two-sided approximations for finding positive solutions to boundary value problems for nonlinear elliptic differential equations with axial symmetry. The case of Dirichlet boundary conditions (first kind) is considered, with a power-type monotone nonlinearity, where the exponent ranges from 0 to 1. By transitioning to polar coordinates in the boundary value problem for the elliptic equation, due to the axial symmetry of the solution, the problem is reduced to a boundary value problem for an ordinary differential equation on an interval with respect to a function that depends only on the polar radius, thus eliminating the dependence on the angle. The pole of the polar coordinate system becomes a singular point, where a boundedness condition must be imposed. For the boundary value problem, a Green's function is constructed to further reduce the problem to a Hammerstein integral equation. The integral equation is treated as a nonlinear operator equation in a Banach space of continuous functions on the interval, partially ordered by a cone of non-negative continuous functions on this interval. The operator is examined for properties such as monotonicity (isotonicity), positivity, boundedness, and concavity. Next, the initial approximation is found as the endpoints of the invariant conical segment for the isotone operator in such a way as to ensure the highest convergence rate of the iterative process. The following iterative sequences of two-sided approximations are constructed: the first sequence, which is non-decreasing with respect to the cone, and the second sequence, which is non-increasing with respect to the cone. At each iteration, the arithmetic mean of the upper and lower approximations is taken as the next approximation. The iterative process is terminated when the error estimate of the solution satisfies the specified accuracy. The theoretical results obtained in this work were validated through a computational experiment. The dependence of the solution on the parameters in the right-hand side was analyzed and illustrated with corresponding graphs
Research of Collocation and Collocation-Iterate Methods for Solution of one Type of Integro-Functional Equations with Small Nonlinearity
Authors:   Kamianets-Podіlskyi Ivan Ohiienko National University, Heseleva Kateryna
Published: October 2024

Different types of differential, integral, integro-differential, differential-functional, integro-functional equations and their systems are mathematical models of many problems of natural science and technology. In the study of mathematical models, qualitative and analytical methods of the theory of differential equations and methods of computational mathematics are widely used. Among the large number of approximate methods that have a wide range of application in solving various applied problems, a common drawback is observed, the characteristic feature of which is power-law convergence and computational instability. In addition, finding sufficiently accurate approximations using projection methods is often associated with the need to solve systems of high-order equations, which turns out to be quite a difficult task. The desire to simplify cumbersome computational schemes leads to the development and increasingly widespread use of the collocation method and the collocation-iterative method. Integro-functional equations are quite widely used in various fields of science, in particular, such equations are reduced to equations with a deviation of the argument as a neutral type and with a delay. The article considers one type of integro-functional equation with small nonlinearity. The process of transforming such an equation into an equation of a much simpler structure is described in detail. It is shown that under certain conditions, the initial equation and the equation obtained after simplification are equivalent. The existence theorem of the solution of the above-mentioned equation is formulated, the ideas of applying collocation and collocation-iterative methods to one type of integro-functional equation with small nonlinearity are described
Two-Stage Method for Solving the Traveling Salesman Problem Using the Genetic Algorithm
Authors:   Taras Shevchenko National University of Kyiv, Ivokhin Eugene , Yushtin Kostyantyn ,   Taras Shevchenko National University of Kyiv
Published: October 2024

One of the main tasks in logistics is to find the most efficient route in the traveling salesman problem on a given transportation network, allowing for the servicing of the maximum number of customers while considering certain criteria. In the typical traveling salesman problem, the objective function is most often the route length or duration. However, such a formulation does not account for the subjectivity in evaluating the travel durations at different stages, which may be influenced by various objective and subjective factors. The problem of the traveling salesman with fuzzily defined travel durations between network nodes is considered. The approach to solving the problem is based on a genetic algorithm with enhanced mutation procedures and population diversity generation. Trapezoidal fuzzy numbers are used to formalize fuzzy values, presented in the generalized case based on the application of Gaussian distribution and corresponding characteristics. A two-stage scheme for solving the optimization problem of the traveling salesman on a given transportation network is proposed, combining the genetic algorithm and Ward's clustering method. In the first stage, a clustering procedure is conducted using Ward's method. In the second stage, based on the obtained set of clusters and the identified optimal inter-cluster distances, route duration optimization is performed within the clusters. To test the efficiency of the developed method, two types of models were generated: one with a limited number of available paths and one with a fully connected topology. Computational experiments were conducted to apply the developed method to solving the traveling salesman problem with travel durations between cities represented as fuzzy numbers. A comparison of numerical calculation results was performed. The obtained results demonstrated the effectiveness of preliminary clustering when using the genetic algorithm to find the best local optima under the same input parameters.
Computer Modeling of Some Nature Processes for Landscape Generation
Authors:   Kamianets-Podіlskyi Ivan Ohiienko National University, Stanislaviv Oleksandr , Zholtovskyi Oleksii ,   Kamianets-Podіlskyi Ivan Ohiienko National University, Smalko Olena ,   Kamianets-Podіlskyi Ivan Ohiienko National University
Published: October 2024

The article describes various approaches to the formation of relief structures with naturalistic shapes, which is useful for their further use in the gaming industry, in augmented reality environments, and for creating high-quality, believable visual content. Having studied a significant part of the mathematical tools for landscape formation, the authors distinguish among many physics-based methods the description of such natural processes as erosion, sedimentation, and creep of materials, which can be used to synthesize realistic terrain. Some methods for solving numerical hydroaeromechanics tasks with simplified conditions are effective for modeling various landscape features. For example, the Euler equation can be used to synthesize large terrain structures based on an incompressible inviscid fluid. Smaller landscape components can be shaped using shallow water equations. They can also be used to model erosion processes caused by the destruction of soil or rocks by a water flow. If you need to simulate riverbed erosion, you should use a semi-empirical family of stream power law equations. The Bateman-Burgers equation will also add natural shapes to the terrain, which will help to model various aspects of fluid motion, such as flow in rivers, seas, oceans, and wave phenomena. By neglecting the viscosity-related terms, assuming a fluid with a density similar to water, and thus simplifying the computational process, a comprehensive model can be augmented by applying the Hopf equation. It is only important to manage the balance between the desire for ideal landscape structures and the rational use of computing resources.
Method of Reference Models for Synthesis of Intelligent Systems for Identification of Nonlinear Dynamic Objects
Authors:   Odesа Polytechnic National University, Fomin Oleksandr , Speranskyy Viktor ,   Odesа Polytechnic National University, Orlov Andrii ,   Odesа Polytechnic National University, Tataryn Oleksii ,   Odesа Polytechnic National University, Kanevskyy Vitaly ,   Odesа Polytechnic National University
Published: October 2024

The paper is devoted to resolving the contradiction between the accuracy of modeling nonlinear dynamics and the speed of model construction under conditions of limited computing resources. The aim of the work is to reduce the time for building models of nonlinear dynamic objects with continuous characteristics in the form of neural networks while ensuring a given modeling accuracy. This goal is achieved by developing a new method for synthesizing intelligent systems based on the superposition of pre-trained (support) models in the form of neural networks that reflect the basic properties of the object. The scientific novelty of the work lies in the development of a method for identifying nonlinear dynamic objects in the form of neural networks with time delays based on a set of pre-trained neural network models that reflect the basic properties of the subject area. In contrast to the traditional approach to pre-training, the developed method allows building models of lower complexity and with shorter training time while ensuring the required accuracy. To determine the initial parameters of the model, expressions based on the superposition of reference models in the form of neural networks are proposed. The practical utility of the work lies in the development of an algorithm for the method of reference models for training neural networks with time delays, which can significantly reduce the training time of neural networks without losing model accuracy
Investigation of Software Application Performance Issues
Authors:   Oles Honchar Dnipro National University, Mitikov Nikolay , Guk Natalia ,   Oles Honchar Dnipro National University
Published: October 2024

The article presents a study of methods for optimizing the performance of software applications aimed at identifying the most effective combination of internal and external factors that maximize the objective function. A generalized mathematical model is described, which includes the main factors affecting performance, such as computation time, the number of input/output operations, the number of computational operations, algorithm complexity, the volume of data processed, the use of parallelism, the architecture of hardware and software platforms, and code efficiency. The importance of using specialized libraries and tools to accelerate computational processes, which is critically important for achieving high performance in modern software systems, is emphasized. The developed approaches were implemented in software, allowing for the practical evaluation of the proposed methods. Software modules were created to analyze the impact of various factors on performance, considering the specifics of particular tasks and execution environments. The test results demonstrated significant potential for performance improvement through optimization at both the code level and the hardware architecture level. Particular attention is given to the study of memory management, addressing potential challenges that negatively impact performance. The necessity of using a caching system and avoiding duplication of immutable information is highlighted. The identified scenarios are independent of any specific implementation and can therefore be integrated into the developing recommendation system. The research has practical significance, offering comprehensive solutions for optimizing the performance of software systems that can be applied in industrial high-load environments. Further research will focus on expanding the functionality of the recommendation system, integrating more complex optimization models, and conducting large-scale computational experiments to validate the results under real-world conditions.
Mathematical Modeling and Computer Analysis of Thermal Modes of an Electrically Conductive Panel During Induction Heat Treatment
Authors:   Lviv Polytechnic National University, Musii Roman ,   Lviv Polytechnic National University, Klapchuk Myroslava ,   Lviv Polytechnic National University; Lviv Polytechnic National University, Kunynets Andrii ,   Lviv Polytechnic National University; Lviv Polytechnic National University, Svidrak Inha ,   Lviv Polytechnic National University; Lviv Polytechnic National University, Pelekh Roman ,   Lviv Polytechnic National University; Lviv Polytechnic National University
Published: October 2024

An electrically conductive panel of rectangular cross-section is considered. During induction heat treatment with a quasi-steady electromagnetic field, unsteady volumetrically distributed Joule heat sources arise in it. With appropriate parameters of the external electromagnetic field, thermal processes in the panel can occur under conditions of near-surface or continuous heating. A two-dimensional physical and mathematical model is proposed to study the regularities of its thermal modes under the above-mentioned heating conditions. This model consists of two stages. At the first stage, the component of the magnetic field intensity vector tangent to the panel bases is determined from Maxwell's relations. At the second stage, the Joule heat is calculated from this component. To construct a solution to the electrodynamics problem, we use a cubic polynomial approximation of the distribution of the magnetic field intensity vector component tangent to the panel bases along the thickness coordinate. The coefficients of the approximation polynomial are represented as a linear combination of the thickness-integral characteristics of the tangential component of the magnetic field intensity vector and the specified boundary values of this component on the panel bases. As a result, the original two-dimensional initial-boundary value problem on the determining function (the component under consideration) is reduced to a one-dimensional initial-boundary value problem on the integral characteristics of the determining function. The solutions to this problem are found by applying a finite integral transformation along the transverse coordinate of the panel using the given boundary conditions on the determining function at the end sections of the panel and the Laplace transform in the time variable. Numerical studies have been performed for a copper panel during its induction heat treatment with a homogeneous quasi-steady-state electromagnetic field. The thermal modes of the panel are analyzed numerically depending on the parameter characterizing the relative depth of induction current penetration for two typical cases of near-surface and continuous heating.
Development of the Combined Operations Method to Improve the Efficiency of Block Encryption
Authors:   Cherkasy State Technological University, Palahin Volodymyr , Palahina Olena ,   Cherkasy State Technological University, Ivchenko Oleksandr ,   Cherkasy State Technological University, Bairak Anatolii ,   Cherkasy State Technological University
Published: October 2024

Real-time information protection requires the implementation of special methods aimed at providing reliable and fast encryption algorithms to protect personal and corporate information from unauthorized access. With the growth of data volumes and the speed of their processing, the importance of effective encryption methods increases significantly. One of the common, reliable and well-known encryption algorithms is AES (Advanced Encryption Standard), also known as Rijndael, which is a symmetric block cipher. AES has high efficiency and cryptoresistance and is suitable for processing large volumes of data. The reliability and speed of encryption and decryption using the AES algorithm depends on the size of the key and the data. This paper proposes to improve algorithm of symmetric block encryption AES to provide faster data processing. The possibility of combining mathematical operations that have a similar principle of processing elements is shown. This approach made it possible to reduce the processing time for data encryption and decryption compared to known implementations. A comparative analysis of the practical implementation of the standard and optimized AES cryptoalgorithms has been carried out. The general principles of the proposed method are to transform all two-dimensional arrays into one-dimensional arrays, add auxiliary tables for ShiftRows and MixColumns operations, and combine operations with similar element processing principles. The simulation results showed that the modified implementation of the AES algorithm demonstrates a reduction in processing time of up to 50% when encrypting and up to 75% when decrypting data compared to known results
An Ensemble Method for the Fraud Detection in Transactions
Authors:   Lviv Polytechnic National University, Sydoruk Mykhailo , Liaskovska Solomiya ,   Lviv Polytechnic National University, Institute of Computer Sciences and Information Technologies
Published: October 2024

In today's world, bank fraud has become one of the significant threats to the financial stability and security of clients of financial institutions. The development of technologies, in particular in the field of machine learning, opens up wide opportunities for building effective systems for detecting and preventing fraud in the banking sector [1, 2]. Detecting fraudulent transactions is an important task that requires thoughtful and technological solutions. One of these methods is the use of machine learning approaches and methods. This paper proposes the use of an ensemble method that combines several machine learning models at once. This approach will reduce the probability of false positives and increase classification accuracy. In addition, for the optimal operation of the model, preprocessing of the data will be carried out, in particular, their normalization, balancing of classes, as well as the selection of features. During the research, it is important not only to achieve high accuracy, but also to reduce as much as possible the number of fraudulent transactions that will be mistakenly classified as normal [3]. This is related to the business requirements of the banking sector, as each such transaction causes losses to the system's reputation, as well as direct financial losses. Within the framework of the study, it is substantiated that the use of this approach gives better classification results than single models due to the compensation of the shortcomings of each of them. The choice of this approach is also due to high practicality, compatibility with financial systems, as well as ease of integration. This paper analyzes the proposed model, its advantages and disadvantages in comparison with analogues. The ensemble method helps to combine the advantages of simple models and reduce the impact of their shortcomings on the final result. In general, the choice of software should depend on the technical requirements of the project and to obtain better results, different models and approaches should be analyzed.
CORPORATE SOCIAL RESPONSIBILITY STRATEGY OF ENTERPRISES UNDER THE CONDITIONS OF THE MARITAL STATE
Authors:   Interregional Academy of Personnel Management, Namarchuk Vitali , Yurchenko Oleksandr
Published: October 2024

The relevance of researching the strategy of corporate social responsibility (CSR) of enterprises under martial law is determined by the need to adapt business to new socio-economic challenges caused by armed conflicts, destruction of infrastructure and economic instability. The article examines the key aspects of social responsibility of enterprises in the context of martial law as a mechanism for ensuring business stability and supporting the development of the Ukrainian economy. The purpose of the study is to analyze the application of corporate social responsibility tools during the war in Ukraine and to develop measures aimed at their systematic improvement. Within the framework of the study, the specifics of the development of social responsibility of enterprises during the period of martial law were analyzed, its main forms were determined, and recommendations were given for their adaptation to modern conditions in Ukraine. It is substantiated that corporate social responsibility of business during the war is an important element of enterprise activity. The main directions of the development of social responsibility of Ukrainian enterprises have been studied and specific measures have been determined to increase its effectiveness in the conditions of martial law, which will contribute to increasing the competitiveness of national enterprises, improving the quality of life of the population and ensuring the sustainable development of social responsibility. Based on the obtained results, a conclusion was made about the need for active participation of enterprises in social and humanitarian initiatives to ensure their post-war stability and attractiveness for investors. The author provides recommendations on the practical implementation of CSR strategies, as well as the involvement of enterprises in long-term social projects.
THE INNOVATIVE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE ON DIGITAL BUSINESS TRANSFORMATION
Authors: Zavrazhnyi Kostiantyn , Kulyk Anzhelika , Antunes de Abreu Olesia
Published: October 2024

In the context of intensifying competition and evolving market dynamics, the deployment of cutting-edge technologies has become not merely a discretionary choice, but an indispensable imperative for any enterprise aspiring to achieve successful growth. Generative artificial intelligence, with its substantial potential for automation, personalisation and optimisation of business processes, is emerging as a highly promising avenue of digital transformation. This study is dedicated to investigating approaches and delineating strategies for aligning generative artificial intelligence with the requirements of digital business transformation. The research examines the development of artificial intelligence, with a focus on symbolic artificial intelligence, machine learning, deep learning and generative artificial intelligence. In addition, it considers the impact of these developments on business processes. The article identifies the potential benefits and challenges associated with the adaptation of generative artificial intelligence to the needs of modern business, in the areas of marketing, sales and data analysis. The utilisation of diverse methodologies and techniques, including prompts, fine-tuning, and the incorporation of interactive guidance systems, can enhance the efficacy and precision of generative AI in a business setting, thereby facilitating optimal outcomes in a multitude of tasks. The authors put forth the proposition of employing generative artificial intelligence technology in conjunction with Retrieval-Augmented Generation, with the objective of enhancing the quality and relevance of responses to user queries. Additionally, they advocate for the utilisation of agents or orchestration tools to provide guidance to models. The successful implementation of generative artificial intelligence hinges on three key factors: the clear definition of objectives, the selection of suitable tools and technologies, and the assurance of managerial and staff support. The implementation of generative artificial intelligence will contribute to increased efficiency through the automation of routine tasks, enhanced competitiveness through personalisation and innovation, optimised cost structures that increase profitability, and expanded opportunities for research and development.
ВИКОРИСТАННЯ ІНСТРУМЕНТІВ КРИМІНАЛЬНОГО АНАЛІЗУ ПІД ЧАС ВИЯВЛЕННЯ, РОЗСЛІДУВАННЯ ТА ПОПЕРЕДЖЕННЯ НАСИЛЬНИЦЬКИХ ЗЛОЧИНІВ ЩОДО ДІТЕЙ
Authors: Кузніченко С. О. , Афонін Д. С.
Published: October 2024

Ця стаття розглядає важливість використання інструментів кримінального аналізу в контексті виявлення, розслідування та попередження насильницьких злочинів щодо дітей. Аналізуються різні підходи та технології, що застосовуються для ефективного реагування на ці злочини. Особлива увага приділяється використанню аналітичних методів, програмного забезпечення, даних для ідентифікації потенційних загроз та забезпечення безпеки дітей. Метою статті є дослідження та аналіз ефективності використання інструментів кримінального аналізу в процесах виявлення, розслідування та попередження насильницьких злочинів щодо дітей. Зокрема, під час дослідження проводиться оцінка сучасних інструментів кримінального аналізу, що використовуються в боротьбі з насильницькими злочинами щодо дітей. Насильницькі злочини щодо дітей є однією з найбільш тривожних соціальних проблем сучасного світу, включаючи фізичне, психологічне та сексуальне насильство. Ці злочини мають серйозні наслідки для постраждалих, впливаючи на їх фізичний та психологічний розвиток і майбутнє життя. Незважаючи на зусилля правоохоронних органів, рівень таких злочинів залишається високим, що вимагає впровадження нових підходів для їх ефективного виявлення, розслідування та попередження. Констатовано, що актуальність дослідження використання інструментів кримінального аналізу у виявленні, розслідуванні та попередженні насильницьких злочинів щодо дітей обумовлена декількома факторами. По-перше, зростання кількості злочинів вимагає негайного реагування та впровадження нових, ефективніших методів боротьби. По-друге, сучасні технології, такі як великі дані та штучний інтелект, відкривають нові можливості для кримінального аналізу. Використання цих технологій може значно підвищити ефективність виявлення та розслідування злочинів. Також у статті розглянуто сучасні інформаційні технології та комп’ютеризовані системи, що працюють з великими обсягами даних. Зокрема, досліджено механізми для автоматизації аналізу даних у протидії злочинності. Працівники Національної поліції України, використовуючи свої повноваження, збирають, накопичують та аналізують інформацію про злочинну діяльність. Вміння користуватися аналітичними інструментами для оперативної обробки великих обсягів даних стає надзвичайно важливим. Висновки статті підкреслюють важливість використання інструментів кримінального аналізу у боротьбі з насильницькими злочинами щодо дітей. Сучасні технології підвищують ефективність роботи правоохоронних органів та забезпечують безпеку дітей.