All Articles

Summary: The importance of forming and bringing the organization of databases of medical institution branches into a more suitable form in terms of their structure, accessibility and flexibility of applications, and the development of methods in this regard are presented in the article. Thus, having each branch's own database increases the flexibility of local queries, minimizes duplication of general data, and provides a structure for distributing certain data in a way that is specific to the functions and medical aspects of the branches. Many existing methods for distributed databases have been considered and the suitability of some of them for medical documents has been noted.

Summary: Mixed problem for the fourth order ordinary differential equation with general boundary conditions is considered in present paper. Soluion of the problem is found by the residue method. According to the scheame of this method the mixed problem is divided by two auxiliary- specrtal and Cauchy problems. After researching these two problems, solution of the considering mixed problem is found by residue series. It is shown , that solution of considering mixed problem surround not only parabolic equations in the sense of Shilov, but also wider classes of equations.

Summary: The thesis discusses interactive technologies for creating easy-to-understand programs by minimizing latency. What interactive techno-logy is and where it is used have been investigated. Which technologies can be interactive, how can we create interactive programs with basic elements, the design of interactive applications, its negative and positive aspects, and such issues are analyzed. Its primary benefit in the manage-ment field is explained, and its applications to increase efficacy in various sectors are also discussed. In this thesis, we can see the impor-tance of the interactive approach and its positive impact on other areas. At the same time, we will witness that future life will be mostly interac-tive, and people will reach their goals more easily thanks to applications. It is emphasized that the main starting point for the interaction of developed technologies is good design, and what are the necessary conditions for this design.

Summary: This paper considers the issue of assessing the security of a key exchange protocol based on matrix algebra. To protect the confidentiality of information, it is important that the keys are exchanged securely. This can be done by using methods such as encrypted key transmission, creation of dedicated secure channels, formation of a common key between parties without exchanging secret information using public key algorithms, etc. The paper analyzes the security of the protocol implemented using the approach based on non-invertible matrices against linear algebra and brute force attacks, shows that the use of non-invertible matrices increases the security of the system, and also evaluates the consumption of computing resources. The results confirm that this approach can be used as a secure and practical method of key exchange.

Summary: On the basis of machine-building industry area analysis there were defined actuality and a goal of this material. As the applied object of this study, flexible manufacturing system is chosen and also it was given a task of designing an algorithm for investigation of its control system. When creating a control model for a flexible manufacturing system a finite automata was used to describe the operation of a crane manipulator. The capabilities of the finite automata are not enough for a general system analysis of the control object. For a detailed functional analysis with the definition of transfers and productions of this control object, it is necessary to use a more powerful mathematical apparatus, such as Petri net. The study of the control algorithm was held on the basis of the round composed flexible manufacturing module scheme of flexible manufactu-ring system. The resulting algorithm with using the transformation of a finite automata of Petri net allows for the creation of a more correct, efficient and reliable control system for the production module.

Summary: Artificial Intelligence (AI) models are increasingly pivotal in enabling face recognition across various fields, from educational and research settings to public spaces. Effective deployment of these models requires high-performance hardware, such as RTX graphics cards or embedded edge devices like Nvidia's AGX Orin and Jetson Nano. This paper pre-sents a comprehensive benchmarking study comparing the performance of these two devices, representing high and low-power edge computing options, using two face recognition models: ResNet and MobileNet. The benchmarking process assesses each model across two different input sizes deployed on both devices with varied configurations, inclu-ding CPU thread allocation and GPU power distribution within contai-nerized environments. Performance metrics such as inference time, GPU utilization, memory usage, and CPU load are analyzed to determine each device's suitability and efficiency. Additionally, model-specific parameters, including FLOPS, parameter count, and memory footprint, are examined to provide for an in-depth comparison. This paper pre-sents detailed results and analyses of these performance indicators.

Summary: This article presents a comprehensive study of algorithmic bargaining within dynamic pricing systems, focusing on its usability, challenges, and broader market implications. Algorithmic bargaining, increasingly used in industries such as e-commerce, retail, and transportation, allows companies to dynamically adjust prices based on real-time data, consumer behavior, and market conditions. However, its widespread adoption raises significant questions regarding fairness, transparency, and regulatory oversight. Drawing on studies from fields like game theory, behavioral economics, and data science, this research explores the impacts of algorithmic bargaining on both businesses and consumers. While machine learning and deep reinforcement learning technologies enhance pricing efficiency, they also present risks of consumer harm and market manipulation. This paper critically examines the ethical implications, regulatory responses, and potential consequences for competition and consumer welfare. Through an analysis of existing literature, including case studies from various industries, this study provides a balanced evaluation of the benefits and drawbacks of algorithmic bargaining, encouraging a deeper understanding of its multifaceted role in modern pricing strategies.

Summary: This paper aims to study the risk situation of blockchain technology in interactive mobile hospitals. With the development of blockchain technology, interactive mobile hospitals have begun to use blockchain technology to empower technological capabilities in aspects such as diagnosis and treatment management, data security, and sharing. Firstly, by referring to relevant literature, this paper identifies that the existing risks include technical risks, privacy risks, compliance risks, management and operation risks, as well as cognitive and acceptance risks. Then, the entropy method is used to analyze the weights of these risks, and the fuzzy comprehensive evaluation (FCE) method is applied to calculate the risk levels. The calculation results show that the overall risk score of blockchain technology in interactive mobile hospitals is 63.3705, among which the technical risk score is 59.3491, the management and operation risk score is 59.8643, the privacy risk score is 65.8097, the compliance risk score is 64.1854, and the cognitive and acceptance risk score is 69.2427. This study conclusion is that the degree of risk of blockchain technology in interactive mobile hospitals is between general and high. Among them, technical risks and management and operation risks are between low and general, while privacy risks, compliance risks, and cognitive and acceptance risks are between general and high. Finally, this paper puts forward corresponding countermeasures and suggestions based on the risk conclusions. This paper hopes that the interactive mobile hospital industry can strengthen risk management in aspects such as enhancing technological research and development, protecting privacy, improving laws and regulations, optimizing management processes, and increasing the awareness of all parties so as to promote the healthy and stable development of the entire mobile medical industry.

Summary: This article examines the important role of literature in teaching English as a foreign language. The place of literature in teaching English shows that language learning is not limited to grammatical rules alone, but is also rich in cultural context and emotional aspects. Literature, reflecting the living and dynamic side of language, provides learners with rich material for developing language skills, especially in terms of intercultural dialogue and empathy. Works written in different periods reflect different cultures and life experiences, increasing the social awareness of language learners. Thus, the role of literature in teaching English is to make learning richer and deeper by covering not only the technical aspects of language proficiency, but also their cultural, vulnerable and creative aspects. This helps language learners to form a complex worldview and become more open to different cultures. The article examines the role of literature in cultural context, its impact on the development of language and critical thinking skills.

Summary: The adverse effects of climate change on humanity have been escalating due to environmental degradation. Consequently, nations have been compelled to implement measures to address climate-related challenges. Within this framework, traditional and recently acknowledged factors play a pivotal role in achieving SDGs, particularly SDG-13. This study empirically examines the influence of newly recognized factors, such as the energy transition index (ETI) and environmental policy stringency (EPS), alongside traditional factors like gross domestic product (GDP), renewable energy use (REU), and foreign direct investments (FDI), on the environment, measured through ecological footprint and load capacity factor. Focusing on leading emerging economies— excluding Indonesia and Mexico due to data limitations—the study utilizes data from 2000 to 2020 and applies the kernel-based regularized least squares (KRLS) approach under the marginal effect framework to explore this nexus. The findings indicate that (i) GDP and FDI do not exhibit environmentally friendly characteristics across the examined countries; (ii) REU contributes to environmental preservation only in Brazil; (iii) ETI and EPS do not significantly enhance environmental quality in any of the countries studied; (iv) the KRLS approach demonstrates high predictive accuracy, achieving a 99.6% success rate across various models. Overall, the research highlights the differential marginal effects of these factors on the environment, which vary by factor, percentile, and country. Based on the empirical evidence, the study discusses policy implications for the five leading emerging economies to effectively pursue SDG-13 by leveraging the identified factors.