Resolution Of Issues Research Articles

Foremost in the series of nation-building rituals - the Ashvamedha Mahayagya

In the comprehensive development of India, which has remained active from the past to the present as a leading role, the processes which are considered as symbols of Indian philosophy include Yagya and the birth-giver of Vedic spirituality, Mother Gayatri. One is hailed as the mother of Indian culture and the other as the father of Indian religion. They are also considered complementary to each other. According to Maharishi Hari, through Yagya, we are relieved from all problems like sin and sorrow and also attain a place in the realm of the Supreme Being. Living a life of Yagya, a life of actions performed, is indeed the best life. According to Acharya, the Bali-Vaishya Yagya is to maintain happiness, prosperity, faith, spirituality, and purity in family life; the Bajpeya Yagya is to awaken the dormant spiritual, intellectual, and moral consciousness of the community; the Rajasuya Yagya is to solve the entrenched and budding problems in the governance system; and the Ashvamedha Yagya was performed for the resolution of national and international level issues. According to the Shatapatha Brahmana, prosperity is the nation. The nation itself is Ashvamedha. Perform nationally-oriented Ashvamedha. According to Acharya, Yagya is the highest pursuit for the ultimate purpose. If the essence of righteousness is included in national sentiments, then this is the real Yagya in reality.

Leadership Coaching: Enduring Lessons From Mythology

The juxtaposition of leadership coaching and mythology together in the same sentence is probably enough in itself to set traditionalists on edge. How could a look at the myths of cultures thousands of years old possibly benefit a leadership coach working in a modern, complex, technologically-oriented society? While much of the current literature on leadership coaching takes a non-historical, rational-empirical approach to the subject, a great deal of practical, useful insight can be gained from assessing lessons derived from mythology.  The content of leadership coaching typically focuses on the resolution of professional and organizational issues in the present and on the future development of the client.  This paper will attempt to show that enduring lessons derived from a look at the mythology of six different ancient cultures are both relevant and useful to the Leadership Coach of today.

Comparative analysis of real issues in open-source machine learning projects

ContextIn the last decade of data-driven decision-making, Machine Learning (ML) systems reign supreme. Because of the different characteristics between ML and traditional Software Engineering systems, we do not know to what extent the issue-reporting needs are different, and to what extent these differences impact the issue resolution process.ObjectiveWe aim to compare the differences between ML and non-ML issues in open-source applied AI projects in terms of resolution time and size of fix. This research aims to enhance the predictability of maintenance tasks by providing valuable insights for issue reporting and task scheduling activities.MethodWe collect issue reports from Github repositories of open-source ML projects using an automatic approach, filter them using ML keywords and libraries, manually categorize them using an adapted deep learning bug taxonomy, and compare resolution time and fix size for ML and non-ML issues in a controlled sample.Result147 ML issues and 147 non-ML issues are collected for analysis. We found that ML issues take more time to resolve than non-ML issues, the median difference is 14 days. There is no significant difference in terms of size of fix between ML and non-ML issues. No significant differences are found between different ML issue categories in terms of resolution time and size of fix.ConclusionOur study provided evidence that the life cycle for ML issues is stretched, and thus further work is required to identify the reason. The results also highlighted the need for future work to design custom tooling to support faster resolution of ML issues.

Global problems in education as a research object in international databases: a historical perspective

Introduction. Global problems of modernity and globalisation are appealing to scientists as a research subject not only for understanding their nature, development, and manifestations in various spheres of life (in the case of our study, in education) but also because a comprehensive analysis is essential to combat them. Aim. The study aimed to trace the history of scientific research on the impact of global issues on the education system. It utilised bibliometry to conduct a qualitative content analysis of selected works to identify existing research trends within the topic and factors influencing the research agenda both in Russian Federation and abroad. Methodology and research methods. The research utilizes bibliometric methods and qualitative content analysis of publications (articles, conference proceedings, monographs, and reports) from open-access scientific journals at the final stage of publication. The study also examines statistical reports from the international Scopus database for the period from 1978 to 2023, selected based on bibliometric criteria. Papers were analysed and classified according to their publication periods and the number of citations they received. Based on the results of a qualitative content analysis comparing scientific agendas worldwide and in Russian Federation, the study identified the topics, conceptual foundations, and key participants influencing the resolution of global education issues across various historical periods. Results. Four waves of interest in this topic were identified: 1988–1999, 2000–2012, 2013–2018, and 2019–2023. From 1988 to 1999, all studies can be broadly categorised into two groups: teaching methods and organisation of educational activities. The development of specific trends in the study of global education problems began only between 2000 and 2012. From 2013 to 2018, scientists focused on restructuring the educational process in new conditions. From 2019 to 2023, the focus shifted to the impact of the COVID-19 pandemic on the organisation and transformation of the educational process. It has been established that the thematic focus of research by Russian scientists and the international scientific community as a whole differs. The authors cite and analyse the possible historical reasons for this divergence. Scientific novelty is ensured by the absence of similar research in the international information space. Practical significance lies in the necessity, given the current socio-economic situation, to highlight global education issues for the purpose of planning and coordinating research efforts.

Application of isotope as a nuclear technique in groundwater pollution assessment due to human activities

Clean and sustainable groundwater is an important asset for human life and ecosystems. However, the threat of groundwater pollution is increasing as a result of human activities such as industrial, agricultural, and municipal. The objective of this review article is to examine how isotope techniques, as one of the nuclear techniques serve as an effective tool in studying, detecting, and understanding the issue of groundwater pollution stemming from anthropogenic activity on the surface. This article covers the description and discussion of the types of isotopes used in the detection of groundwater pollution and factors that influence the variation in the composition of isotopes in groundwater based on the findings of previous studies. In addition, this article also comments on the study of groundwater pollution using isotopes in the context of groundwater pollution assessment in Malaysia. This article serves as a guide or reference to researchers, environmental professionals, and water resources managers who want to understand and implement nuclear techniques in the monitoring and assessment of groundwater pollution. This article also outlines a holistic view on the resolution of groundwater pollution issues through the application of nuclear techniques and isotopes as a significant tool in ensuring sustainable environmental management.

Evaluation of the coordinated development level in the coastal eco-environmental complex system: A case study of Jiaozhou Bay, China

Given the exponential population growth and remarkable socio-economic advancements, coastal areas face increasingly complex challenges in eco-environmental management due to anthropogenic pressures. With the current emphasis on high-quality economic development, there is an urgent need to establish and evaluate a comprehensive indicator system to ensure the sustainable development of the coastal eco-environment and to meet evolving management demands. Research on the coordinated development level of coastal eco-environmental complex system, based on the concept of land-sea coordination, plays a pivotal role in promoting the resolution of eco-environmental issues in coastal areas, achieving sustainable socio-economic development in these regions. In this study, we construct an indicator system for the eco-environmental complex system in Jiaozhou Bay (JZB) coastal zone, China, comprising six sub-systems and thirty indicators. The comprehensive development level and coupling coordination degree model (CCDM) are employed in this study to analyze the indicator system in 1980–2020, aiming to elucidate the processes involved in the improvements in this complex system. The findings indicate: (i) the system's comprehensive development level evaluation and coupling coordination degree (CCD) exhibit a two-stage pattern: a declining trend in 1980–2005, followed by a rising trend in 2005–2020. (ii) despite improvements, the comprehensive development level and the CCD of the system in 2020 still hold potential for further enhancement compared to 1980; and (iii) policymaking and changes in anthropogenic pressures in coastal areas are the primary factors influencing the performance of the system. In the future, policymaking can reduce anthropogenic pressures on the coastal eco-environment, improve the comprehensive development level and CCD of the complex system, and encourage a commitment to sustainable development.

Identification and removal of unexpected proliferative off-target cells emerging after iPSC-derived pancreatic islet cell implantation

Differentiation of pancreatic endocrine cells from human pluripotent stem cells (PSCs) has been thoroughly investigated for application in cell therapy against diabetes. In the context of induced pancreatic endocrine cell implantation, previous studies have reported graft enlargement resulting from off-target pancreatic lineage cells. However, there is currently no documented evidence of proliferative off-target cells beyond the pancreatic lineage in existing studies. Here, we show that the implantation of seven-stage induced PSC-derived pancreatic islet cells (s7-iPICs) leads to the emergence of unexpected off-target cells with proliferative capacity via in vivo maturation. These cells display characteristics of both mesenchymal stem cells (MSCs) and smooth muscle cells (SMCs), termed proliferative MSC- and SMC-like cells (PMSCs). The frequency of PMSC emergence was found to be high when 108 s7-iPICs were used. Given that clinical applications involve the use of a greater number of induced cells than 108, it is challenging to ensure the safety of clinical applications unless PMSCs are adequately addressed. Accordingly, we developed a detection system and removal methods for PMSCs. To detect PMSCs without implantation, we implemented a 4-wk-extended culture system and demonstrated that putative PMSCs could be reduced by compound treatment, particularly with the taxane docetaxel. When docetaxel-treated s7-iPICs were implanted, the PMSCs were no longer observed. This study provides useful insights into the identification and resolution of safety issues, which are particularly important in the field of cell-based medicine using PSCs.

Empowering hydrophobic anticancer drugs by ultrashort peptides: General Co-assembly strategy for improved solubility, targeted efficacy, and clinical application

The current state of drug delivery systems allows for the resolution of specific issues like inadequate solubility, limited targeting capabilities, and complex preparation processes, requiring tailored designs for different drugs. Yet, the major challenge in clinical application lies in surmounting these obstacles with a universal carrier that is effective for a variety of anticancer drugs. Herein, with the help of computer simulation, we rationally design ultrashort peptides GY and CCYRGD, which can co-assemble with hydrophobic anticancer drugs into nanoparticles with enhanced solubility, targeting ability and anticancer efficacy. Taking 7-ethyl-10-hydroxy camptothecin (SN38) as a model anticancer drug, the co-assembled SN38-GY-CCYRGD nanoparticles significantly enhance the water solubility of SN38 by more than three orders of magnitude. The as-prepared nanoparticles can effectively kill cancer cells, e.g., human small cell lung cancer (A549) cells with a notable cell mortality rate of 71%. Mice experimental results demonstrate the nanoparticles’ efficient targeting capability, marked reducing the toxicity to normal tissues while improving antitumor efficacy. This work presents a novel drug delivery method, integrating effective, targeted, and safe strategies into a comprehensive carrier system, designed for the administration of hydrophobic anticancer drugs.

Przygotowanie strategii prowadzenia prac naprawczych i rekonstrukcyjnych w odwiertach naftowych i gazowych

The repair and restoration work implemented in inactive well stocks has led to the resolution of clustering issues based on their purpose. It has been determined that in case of clusters of accident-prone wells, the implementation of repair and restoration works and their return to the operational fund, must be carried out based on economic and technical efficiency. The corresponding analysis revealed that clusters characterizing the accident rates include issues with downhole pipes, downhole motors, tools and devices, packers, bottom hole drill pipes, cables, ropes, wires, and others types of accidents. This paper presents the accumulated results of realized RRW (repair restoration works) based on field experience for formalization and automation in developing decision-making technologies and selecting accident elimination strategy in appropriate field conditions. Various technologies have been developed for the elimination process, using appropriate equipment. Repair and restoration work for corresponding codes is proposed based on field statistical information. The economic feasibility of the obtained results and their application are classified on the basis of boundary conditions defined by developed logical stages. The logical stages are drawn up using information about field parameters, including well conditions, the location of the accident object in the well, realized technology, and appropriate technical means. As a result of the analysis of SOCAR (State Oil Company of Azerbaijan Republic) fund of accident-prone wells, 24 possible options for the implementation of RRW have been identified for the aforementioned clusters. Lists of the existing tool park, functional design parameters, and technological modes necessary for each accident cluster have been determined to implement decision-making technologies.

Urgensi Sui Generis Regime Permintaan Slot Geostationary Orbit melalui Perspektif Negara Khatulistiwa Khususnya Indonesia

Indonesia is one of the countries whose position is crossed by the equator, which is parallel to the Geostationary Orbit (GSO). The passing of Law No. 16 of 2002 marks Indonesia’s binding to the Outer Space Treaty, which encourages Indonesia to have regulations regarding the resolution of issues relating to the use of GSO slots in the national interest. Indonesia proposes a special legal regime that recognizes GSO as an independent territorywithout disturbing existing rules. This research emphasizes the urgency of creating a fair and equitable legal framework in utilizing GSO, especially for developing countries. This research aims to explore legal certainty in the context of space utilization and exploration, especially Geostationary Orbit (GSO). This research uses a normative juridical method with the main approaches, namely legislation and conceptual. The results show the needfor a special regime that regulates the utilization of GSO so that there is no gap between countries with the principles of maintaining peace, justice and mutual benefit, with the hope of providing clarity of rules and guidelines in exploring and utilizing space safely and fairly.

Basic principles of personal data processing and protection

The development of an information society that prefers quick and remote resolution of issues, including on the Internet, raises the issue of protecting information and data disseminated and provided by personal data subjects. People do not want to transmit personal information without a clear understanding that it will be protected and not used, or to transfer it unnecessarily to third parties, because most of this information is identifying and personal, and in some cases even «sensitive». In this case, persons who transfer, process, or store personal data must be guided by legal grounds that determine the course of such actions. The fundamental concepts that must be followed in any operations with personal data are the principles. Principles are the basic framework that everyone in this process must adhere to, and failure to do so entails legal liability.
 The institute of personal data protection is relatively new, therefore, with the development of this institute, legislation at various levels develops and improves the basic provisions and general principles of personal data protection. At present, the general principles of personal data processing and protection can be summarised as: transparency, fairness, lawfulness, purpose limitation, data minimisation, data accuracy, data retention period limitation, data security and the principle of accountability.
 Such principles are enshrined in the General Data Protection Regulation and meet the main goal, namely to define the standards on the basis of which personal data should be collected, processed, transferred, stored, and destroyed. The existence of such principles and, most importantly, their consolidation in regulatory legal acts that are binding for all and are primarily necessary to preserve and not restrict the right to privacy and the right to protection of personal data, the right to privacy. The general principles of legitimate operations with personal information provide for notification of the person who provides his/her personal data about the purpose of processing and all the details concerning future actions with the provided information and regulation, limitation and determination of liability for violation of the principles of processing and protection of personal data for the person who further carries out the specified operations.

Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking.

Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system designed to retrieve information from the extensive knowledge contained in factory documentation and knowledge shared by expert operators. The system aims to efficiently answer queries from operators and facilitate the sharing of new knowledge. We conducted a user study at a factory to assess its potential impact and adoption, eliciting several perceived benefits, namely, enabling quicker information retrieval and more efficient resolution of issues. However, the study also highlighted a preference for learning from a human expert when such an option is available. Furthermore, we benchmarked several commercial and open-sourced LLMs for this system. The current state-of-the-art model, GPT-4, consistently outperformed its counterparts, with open-source models trailing closely, presenting an attractive option given their data privacy and customization benefits. In summary, this work offers preliminary insights and a system design for factories considering using LLM tools for knowledge management.

An Efficient Segmentation and Classification of Brain Tumor Detection using Deep Learning

In medical diagnostics, the identification of brain tumors is a crucial endeavour that frequently necessitates the careful review of intricate imaging data. With the development of deep learning methods, especially convolutional neural networks (CNNs), automated brain tumor detection has become a viable way to help radiologists diagnose patients accurately and quickly. This study provides an extensive overview of current developments in deep learning approaches for brain tumor identification. The suggested techniques usually start with preprocessing medical images, like CT or MRI scans, and then use CNN architectures to extract features. Different CNN architectures, such as U-Net and conventional CNNs, have been used to extract discriminative characteristics from brain pictures. The performance of brain tumor detection systems has also been improved using transfer learning techniques, which make use of pre-trained models on sizable datasets. These results are especially encouraging when there is a shortage of training data. Additionally, research has been done on using ensemble learning approaches to strengthen the generality and durability of brain tumor detection models. By combining several base models into one prediction, these methods improve overall performance and lower the likelihood of overfitting. Furthermore, the incorporation of sophisticated regularisation methods such batch normalisation and dropout has enhanced the deep learning models' capacity for generalisation in brain tumor identification tasks. Moreover, the use of deep learning models in practical clinical environments demands the resolution of issues of uncertainty estimation and model interpretability

The modern concept of improving the legal regulation of social security in Ukraine in the context of the development of the concept of civil society

This article focuses on developing the content of a contemporary, concept and strategic act aimed at enhancing the legal regulation of social security in Ukraine, contextualized within the evolution of the concept of civil society. The author advocates for the creation and endorsement of a Concept to facilitate the participation of civil society actors in bolstering the social security of modern Ukraine. Structurally, this Concept is composed of six parts. The first, ‘Problems that Require Solutions,' highlights issues such as the subpar quality of current legislation's legal regulation concerning the activities of civil society entities, leading to a legal vacuum in the legal framework and regulation of social security involving these entities. The second part, ‘Value Guidelines, Goals, and Objectives for the Implementation of this Concept,' delineates the foundational principles of the social security legal regulation mechanism in the context of civil society's development. Furthermore, it identifies the establishment of institutional, regulatory, and other resource conditions as a goal, enabling effective civil society participation in legally regulating conditions for a socially safe human existence in Ukraine.
 The third section of the Concept, 'Time Frame for the Implementation of this Concept,’ specifies that while the Concept is valid indefinitely, the resolution of key issues addressed therein should be accomplished before 2026. The fourth part, 'Methods and Approaches for Problem,’ includes strategies such as enhancing current legislation on the legal regulation of civil society actors’ participation in legal processes, especially in social security regulation; the development of a Strategy for Social Security Assurance by Civil Society Actors and its corresponding implementation program, among others. The fifth and sixth parts, 'Anticipated Outcomes’ and 'Estimation of Financial, Material, Technical, and Human Resources,’ respectively, complete the Concept. The article’s conclusion summarizes the research findings and identifies a list of regulations that should be developed and enacted as part of the Concept’s implementation. These include proposed legislative drafts such as the Laws of Ukraine 'On Social Security,’ 'On the Activities of Civil Society Entities in Ukraine,’ and 'On Public Lobbying Activities.’

Evaluation of evidences when applying the "reasonable suspicion" standard of proof by investigating judges

The article is devoted to the problem of establishing the factual circumstances of the case at the stage of court control when applying the "reasonable suspicion” standard of proof. The crux of the problem is that, in practice, the vast majority of investigating judges understand this standard of proof as one that relieves them of the obligation to fully evaluate and examine the evidence and provides an opportunity to establish the reasonableness of the suspicion thanks to the so-called "reasonable evaluation of the evidence”. By making such a "reasonable assessment”, the investigating judge, without resorting to a detailed assessment of the person's actions, supposedly only has to make sure that the reported suspicion is well- founded. At the same time, the provided evidence is not subject to the same high requirements as when formulating the final indictment when the case is sent to court. Thus, without evaluating the evidence, investigating judges do not establish the factual circumstances of the case.
 The fallacy of dividing the evaluation of evidence into preliminary and final is substantiated. It is noted that the term "reasonable evaluation of evidence” is not defined either in legislation or in court practice. It is proved that at the stage of court control there is a local subject of proof, which differs from the subject of proof at the stage of consideration of criminal proceedings on the merits. It is substantiated that the evaluation of evidence is an integral part of the process of proving. The internal conviction of the investigating judge (as a result of the evaluation of the evidence), necessary for making a decision on the case, can be formed only as a result of the evaluation of the evidence according to the criteria defined by Art. 94 of the Criminal Procedure Code of Ukraine. "Reasonable evaluation of the evidence” without a detailed assessment of the person's actions and without "high requirements for the provided evidence” does not make it possible to establish the set of circumstances that are part of the local subject of proof and which are necessary for the correct resolution of the relevant procedural issue, and to form the appropriate internal conviction of the judge (as the result of the evaluation of the evidence). Decisions of investigative judges, which are made as a result of the so-called "reasonable evaluation of evidence”, cannot be considered reasoned in the sense of Part 3 of Art. 370 of the Criminal Procedure Code of Ukraine.

Enhancing XML-based Compiler Construction with Large Language Models: A Novel Approach

Considering the prevailing rule of Large Language Models (LLMs) applications and the benefits of XML in a compiler context. This manuscript explores the synergistic integration of Large Language Models with XML-based compiler tools and advanced computing technologies. Marking a significant stride toward redefining compiler construction and data representation paradigms. As computing power and internet proliferation advance, XML emerges as a pivotal technology for representing, exchanging, and transforming documents and data. This study builds on the foundational work of Chomsky's Context-Free Grammar (CFG). Recognized for their critical role in compiler construction, to address and mitigate the speed penalties associated with traditional compiler systems and parser generators through the development of an efficient XML parser generator employing compiler techniques. Our research employs a methodical approach to harness the sophisticated capabilities of LLMs, alongside XML technologies.  The key is to automate grammar optimization, facilitate natural language processing capabilities, and pioneer advanced parsing algorithms. To demonstrate their effectiveness, we thoroughly run experiments and compare them to other techniques. This way, we call attention to the efficiency, adaptability, and user-friendliness of the XML-based compiler tools with the help of these integrations. And the target will be the elimination of left-recursive grammars and the development of a global schema for LL(1) grammars, the latter taking advantage of the XML technology, to support the LL(1) grammars construction. The findings in this research not only underscore the signification of these innovations in the field of compilation construction but also indicate a paradigm move towards the use of AI technologies and XML in the context of the resolution of programming traditional issues. The outlined methodology serves as a roadmap for future research and development in compiler technology, which paves the way for open-source software to sweep across all fields. Gradually ushering in a new era of compiler technology featuring better efficiency, adaptability, and all CFGs processed through existing XML utilities on a global basis.

Enhancing 5G Antenna Manufacturing Efficiency and Reliability through Blockchain and Smart Contract Integration: A Comprehensive AHP Analysis

This study pioneers the enhancement of 5G antenna manufacturing efficiency and reliability by integrating blockchain and smart contract technologies, supported by an in-depth Analytic Hierarchy Process (AHP) analysis. At the heart of our innovation lies the blockchain-based SER-M (B-SER-M) model, which delineates ‘Subject’, ‘Environment’, and ‘Resources’ as crucial factors in the manufacturing process. Our refined AHP analysis reveals ‘Subject’ as the paramount factor, with a pivotal influence weight of 0.465, underscoring its significance in elevating production efficiency and reliability. The integration of blockchain technology facilitates impeccable record-keeping and tracking at each production stage, thereby bolstering data integrity and enhancing traceability. Furthermore, the incorporation of smart contracts streamlines operations by automating processes, enabling the rapid identification and resolution of issues. These technological advancements not only significantly elevate manufacturing efficiency but also markedly improve reliability and quality control across antenna production. The enhanced results of our study demonstrate the formidable potential of integrating cutting-edge technologies in manufacturing, presenting a solid model for sustaining industry competitiveness in an increasingly digital and interconnected realm. Our contributions lay the groundwork for transformative advancements in manufacturing practices, setting a new benchmark for the integration of blockchain and smart contract technologies in enhancing 5G antenna production efficiency and reliability.

The Role of Stakeholder Collaboration in Civic Wealth Creation in Pakistan: A Social Entrepreneurial Perspective

The contemporary global landscape is marked by unprecedented challenges, necessitating sustained endeavors toward fostering a sustainable future. In response, a plethora of conceptual frameworks have emerged, aligning with the Sustainable Development Goals delineated in 2015. Among these emergent frameworks, civic wealth creation has garnered attention for its perceived efficacy in addressing multifaceted social, economic, and communal challenges, thereby fostering enhanced community well-being. Central to the civic wealth creation paradigm is the recognition of stakeholder collaboration as indispensable for the effective resolution of collective issues. This framework underscores the imperative of concerted collaboration among diverse stakeholders, including enterprises, regimes of support, and beneficiaries, in the pursuit of generating civic wealth. Social enterprises, positioned as hybrid organizations adept at navigating the nexus between economic and social imperatives, assume a pivotal role in facilitating stakeholder collaboration and engendering civic wealth. Against this backdrop, this study delves into the mechanisms through which social enterprises in Pakistan collaborate with diverse stakeholders to engender civic wealth, thereby contributing to the scholarly discourse on sustainable development and socio-economic transformation.

Transformation of the content of human rights under the influence of globalisation

Human rights have transcended the realm of individual-state relations, becoming a constructive element of state legal systems and promoting the integration of social and legal relations, leading to the emergence of previously unknown human rights. Therefore, it is necessary to develop a legal understanding of them, considering contemporary realities. The purpose of the study is to describe and characterise the latest human rights within the framework of the general theory of law and the state. The methodological basis of the study is civilisation and socio-philosophical approaches, within which analysis, synthesis, and modelling methods were used. The essence of distinguishing generations of human rights boils down to the gradual realisation and resolution of issues of human legal status in a changing reality. Social relations, complicated by historical development, will give rise to new problems in human legal status. Attention is drawn to the close connection of human rights with the sphere of health protection, which arose as a result of scientific and technological achievements in biology and medicine, discussing rights to artificial insemination, euthanasia, organ transplantation, cloning, and gender change. The impact on fundamental human rights through the digitisation of law is analysed. The idea of the universality of human rights harmoniously interacts with the universality of digital technologies, so in the era of digitisation, the content of human rights and the related values do not change, and human rights themselves can become a unifying target perspective in determining attitudes towards new technologies. The main trends in the development of human rights in the conditions of globalisation are modelled, including the universalisation and unification of human rights, the complication of mechanisms for ensuring human rights at the international level, and the increasing importance of judicial law in protecting human rights at the supranational level. The paper focuses on the dependence of globalisation processes on transforming national legal systems in war conditions. The practical value of the study lies in its potential to incorporate the trends in human rights development within the context of globalisation into specific topics covered in courses on state and legal theory, philosophy of law, and the creation of relevant educational and methodological resources

Analysis of Current Rules and Regulations for Preclinical Studies of Radiopharmaceuticals

SCIENTIFIC RELEVANCE. Owing to specific aspects of their development and use, radiopharmaceuticals require separate rules and regulations for preclinical studies. However, current legislation and regulations on the organisation and conduct of preclinical studies of radiopharmaceuticals contain a number of contradictions and need improvement.AIM. This review aimed to analyse the rules and regulations governing preclinical studies of radiopharmaceuticals in the Russian Federation and abroad.DISCUSSION. The regulatory requirements for preclinical studies of radiopharmaceuticals that are conducted by specialised institutions in Russia and abroad have several shortcomings and inconsistencies. Laboratories working with animals and open sources of ionising radiation should prioritise regulations related to radiation safety. Radiation safety requirements should be in line with the sanitary standards and practical guidelines used in preclinical studies. This review covers the specific aspects of conducting preclinical studies of therapeutic and diagnostic radiopharmaceuticals. According to the review results, international guidelines for preclinical studies of radiopharmaceuticals focus on systematising the applicable requirements and aim at providing a consistent approach to preclinical studies to reduce the conduct of studies that are not informative for a specific radiopharmaceutical product.CONCLUSIONS. Radiation safety requirements should be harmonised with international guidelines. Methodological recommendations and local regulations should be developed and approved to facilitate the resolution of regulatory issues related to the organisation and conduct of preclinical studies of radiopharmaceuticals. Many medical, social, technical, and administrative issues need addressing at the inter-institutional and/or national level.