Development Tasks Research Articles

The Study of the Impact of Migration Indicators on the Demographic Situation of the Region

Statement of the problem. The article examines the relationship between indicators of demographic development and urban planning tasks of urban and regional planning, solved on the basis of forecasting. A new system of indicators for assessing the living environment has been developed, based on the principle of satisfying rational human needs through the functions of the city. The purpose of the study is to analyze the factors of changing the demographic situation of the region based on the dynamics of migration indicators, performed on the example of the Oryol region. Results. Based on the obtained statistical data on demographic and social and economic indicators, a correlation and regression analysis of dependent and independent variables was performed. The results of the analysis will be the basis for selecting the most important mutually influencing factors for building statistical models based on them and determining the patterns of development of the region. Conclusions. Statistical models can serve as a means of supporting decision-making to improve the quality of life of the population and manage demographic processes in an urbanized area.

Факторы и тенденции постиндустриальной трансформации экономики проблемных регионов Северо-Кавказского федерального округа

The article presents the results of empirical studies on the identification of the degree of post-industrial orientation of the regional economy, carried out on the factual basis of problematic entities of the North Caucasian Federal District. It is shown that in the context of planning the regional policy of post-industrial transit of the economy, it is necessary to be guided by the synthetic level of its post-industrial orientation, which consists of the current and forecast state of the innovation and infrastructure component and the level of activity of creative capital. Institutional support and management coordination The tasks of operational development of corrective directions, mechanisms and instruments of regional socio-economic policy aimed at changing the technological structure, ensuring the dominance of post-industrial sectors and industries of the economy, accumulating creative capital are impossible in their implementation without a detailed analysis of the accumulated transformation potential. In the article, from the standpoint of diagnosing the degree of post-industrial orientation of the regional economy, parametric and methodological support for calculating aggregate indices of innovative development and the degree of innovativeness of the economy is formed. Using the proposed analytical apparatus, reliable empirical estimates of the degree of post-industrial orientation of the regional economy of the subjects of the North Caucasian Federal District were obtained. The article is an addition to the cycle of researchers' works on the problems of economic transformation of the regions of the South of Russia. The obtained analytical results, empirical estimates and calculation material for the subjects of the North Caucasian Federal District can be used in further scientific research.

Affinity Ultrafiltration Mass Spectrometry for Screening Active Ingredients in Traditional Chinese Medicine: A Review of the Past Decade (2014–2024)

Discovering targets in natural products is a critical and challenging task in new drug development. Rapid and efficient screening of active ingredients from complex systems like traditional Chinese medicine (TCM) is now crucial in drug research. Affinity ultrafiltration (AUF) technology is widely used to screen active ingredients in natural medicines. AUF-liquid chromatography–mass spectrometry (AUF-LC-MS) leverages the affinity between natural medicine extracts and targets to isolate active ingredients from complex matrices, employing LC-MS for detection and activity assessment. This review discusses the developments in employing AUF-LC-MS to analyze TCM and TCM compound preparations over the last decade. This review succinctly presents the advantages and limitations of AUF-LC-MS, illustrating its benefits through the example of screening for active ingredients in natural pharmaceuticals.

Achievements and current trends in tomato breeding at the Primorskaya Vegetable Experimental Station – branch of the Federal Scientific Vegetable Center

Relevance. The climatic conditions of the Primorsky Territory, the determining factors of which are its geographical location at the junction of the continent of Eurasia and the Pacific Ocean, are unique, which determines the main directions of breeding vegetable crops at the Primorskaya Vegetable Experimental Station – branch of the Federal State Budgetary Scientific Institution «Federal Scientific Vegetable Center» (PVES – branch of the FSBSI FSVC). The article provides an overview of the main achievements of the station's scientists' long-term work on tomato breeding for open ground and identifies the main tasks for further development of this area in the conditions of the south of the Russian Far East.Results. Based on the results of many years of research, the model of tomato variety of universal type for open ground was specified taking into account the requirements of the modern market of Primorsky Krai: ripeness group – medium-early or medium-ripening, short sprouting-flowering period; determinant plant, compact with medium or high foliage and medium-sized leaves (important for mechanized cultivation); brush – simple or intermediate; stalk – without articulation or with thickening (easy fruit detachment); fruit – of different shape, weight 60-100 g dry matter content not less than 5%, with uniform coloring without a spot at the stalk in milk ripeness and different coloring in biological ripeness, resistant to cracking, vertex rot, with high storability and transportability; resistance – to sudden temperature changes, soil overwatering, high temperatures and air humidity during the fruiting period, to diseases of various etiologies, primarily to Alternaria and Phytophthora. Since a significant factor in reducing the productivity of varieties are diseases (as a result of increasing aggressiveness and expansion of the species composition of pathogens), the priority at present is breeding for immunity. Within this framework, intensive search for valuable sources and creation of new source material based on hybridization, individual and family selection from the best varietal and hybrid populations is carried out. Among the achievements of breeding of PVES promising are varieties Fitilek and Echo (tolerant to Alternaria), varieties Odyssey, Patrokl and Summit (tolerant to Phytophthora), on the basis of which parental lines are created. The breeding process also involves the most adaptive open field varieties of FSVC selection and the source of group resistance to Alternaria and Phytophthora - variety Ottava 30.Conclusion. Creation of targeted breeding achievements will allow to expand the variety range and saturate the vegetable market of this economically important region of the south of the Far East Primorye with domestic varieties within the framework of the import substitution program.

К вопросу о формировании перечня приоритетных задач научно-технологического развития Российской Федерации

Currently, science and practice show that for the formation of high competitiveness and breakthrough efforts in the development of both individual organizations, industries, and the state economy as a whole, the possession of only soft skills is not enough. Current economic conditions, as well as high rates of change in both external and internal conditions of economic activity realization show that knowledge, skills, abilities, technologies are the most important key to the development of the country's economy and improvement of the quality of life. The greatest interest in this article is shown to the study of tools and methods of achieving the target indicators of priority tasks of scientific and technological development of the Russian Federation. And also to the formation of proposals to solve the existing problems in the system of adjustment and expansion of the list of priority tasks of the RF development. The main problems hindering the effective functioning of the system of adjustment and expansion of priority tasks of the RF development were identified. The key definitions of the project approach to the development of the national economy are specified. The interrelation of the main elements of the system of development and realization of priority tasks of the national economy development is established. Approaches and methods of solving the existing problems in the system of development and adjustment of priority tasks of the RF development are offered.

Modeling of flows under dams using the method of singular points

Today, the relevance of issues related to regular and safe water supply for human beings, society and the economy is beyond doubt. One of the main ways to store and man age water resources is the construction and operation of dams. The most important task of sustainable existence and development of reservoir projects is dam safety. To ensure this, theoretical research, creation of mathematical and computer models of the physical phe nomena and engineering structures under study are necessary. The paper proposes methods for constructing flows in the middle sections of a dam with a linear filtration law by ap propriately placing special flow points and applying conformal transformations. Filtration f lows with different outlines of impermeable floodplain, flows under a dam with filters in homogeneously isotropic and heterogeneously anisotropic soils are considered.

3d-5d Orbital Hybridization in Nanoflower-Like High-Entropy Alloy for Highly Efficient Overall Water Splitting at High Current Density.

Exploring highlyefficient electrocatalysts for overall water splitting is a challenging butnecessary task for development of green and renewable energy. Herein, PtIrFeCoNi high-entropy alloy nanoflowers (HEA NFs) withstrong 3d-5d orbital hybridization were fabricated to achieve highly efficientoverall water splitting at high current density. The Pt26Ir7Fe13Co22Ni32 HEA NFs achieved a 57.52-fold higher than commercial IrO2 in turnoverfrequency (TOF) for oxygen evolution reaction (OER). Besides, its TOF value forhydrogen evolution reaction (HER) was 2.11-fold higher than that of commercialPt/C. The cell voltages based on Pt26Ir7Fe13Co22Ni32 HEA NFs for overall water splitting were only 1.594 V and 1.861 V at currentdensities of 100 mA cm-2 and 500 mA cm-2, which weresignificantly lower than those of Pt/C.

Relationship between environmental policy and disaster management policy for mount Marapi’s cold lava flood, 2024

Abstract The government has the task of national development in various fields. Especially in the environmental sector, the government has the task of developing a sustainable environment. However, the environment is sometimes damaged due to natural disasters or disasters caused by development. Considering the importance of a sustainable environment, it is considered urgent to conduct preliminary research regarding environmental damage due to natural disasters in 2024 and follow-up efforts. After Presidential Regulation No. 87/2020 on the 2020-2044 Disaster Management Master Plan. This paper attempts to answer a research question. What is the environmental management policy for overcoming the natural disaster of the cold lava flood of mount Marapi in West Sumatra province, Indonesia? The purpose of this paper was to study the environmental management policy and overcome this natural disaster. The research was conducted descriptive qualitative methods to study the circumstances and events that have occurred. Through library research, data was collected and processed and then presented in the table, matrix, and figure. The data obtained is discussed using descriptive analysis, and public policy analysis. The results are discussed with recommendations on the relationship between environmental policy and disaster management policy as well as coordination between government agencies and stakeholders to follow up.

Exploring ChatGPT's Potential in Java API Method Recommendation: An Empirical Study

ABSTRACTAs software development grows increasingly complex, application programming interface (API) plays a significant role in enhancing development efficiency and code quality. However, the explosive growth in the number of APIs makes it impossible for developers to become familiar with all of them. In actual development scenarios, developers may spend a significant amount of time searching for suitable APIs, which could severely impact the development process. Recently, the OpenAI's large language model (LLM) based application—ChatGPT has shown exceptional performance across various software development tasks, responding swiftly to instructions and generating high‐quality textual responses, suggesting its potential in API recommendation tasks. Thus, this paper presents an empirical study to investigate the performance of ChatGPT in query‐based API recommendation tasks. Specifically, we utilized the existing benchmark APIBENCH‐Q and the newly constructed dataset as evaluation datasets, selecting the state‐of‐the‐art models BIKER and MULAREC for comparison with ChatGPT. Our research findings demonstrate that ChatGPT outperforms existing approaches in terms of success rate, mean reciprocal rank (MRR), and mean average precision (MAP). Through a manual examination of samples in which ChatGPT exceeds baseline performance and those where it provides incorrect answers, we further substantiate ChatGPT's advantages over the baselines and identify several issues contributing to its suboptimal performance. To address these issues and enhance ChatGPT's recommendation capabilities, we employed two strategies: (1) utilizing a more advanced LLM (GPT‐4) and (2) exploring a new approach—MACAR, which is based on the Chain of Thought methodology. The results indicate that both strategies are effective.

Control of the productivity and the reservoir energy state by processing and analysis of permanent downhole gauges data using machine learning

The issues of high-quality hydrodynamic studies of wells are relevant at any stage of the development of an oil field. The reliability and reliability of the results depend on the significant technological indicators of the development of deposits, deposits and the parameters of the operation of individual wells. This paper presents a new approach to the analysis of hydrodynamic studies of wells by the method of steady-state sampling, based on cluster analysis. The steady-state sampling method is a significant and most effective tool in analyzing measurements of continuous monitoring systems, which allows you to obtain more reliable data for further use in solving various development tasks. The new clustering-based method improves the quality of analysis and reduces the negative impact of the human factor on the success of data operations. This is achieved by automatically dividing the data into groups or clusters, which allows you to more accurately determine the characteristics of steady-state modes. The article provides a detailed description of the new method, its advantages and possibilities of application in the practice of analyzing hydrodynamic studies of wells based on data from continuous monitoring systems. The obtained results of testing the presented approach to the analysis of large amounts of information in a single research plane allow us to say about the high level of its relevance and the possibility of further improvement of algorithms, which will reduce the level of uncertainty in the implementation of digital diagnostics of well operation. Keywords: well testing; permanent downhole gauges (PDG); telemetry systems; inflow performance relationship (IPR); reservoir pressure; clustering; machine learning methods; multilayer systems.

Java coding using artificial intelligence

This study explores the potential of chatbots, specifically ChatGPT, in Java software development. The aim is to classify tasks for effective use of industrial code and develop recommendations for applying chatbot assistance, identifying boundaries where human intervention remains essential. The methodology included analyzing scientific literature and empirically testing ChatGPT-3.5 on various Java development tasks. The tasks were divided into simple (working with XML, JSON, multithreading, and data input/output) and complex (writing MVC applications, REST services, and GUI). The results showed that ChatGPT successfully handles simple tasks but struggles with complex problems. The study identified scenarios where the chatbot can effectively use existing codebases and design patterns to accelerate development. The conclusions highlight ChatGPT’s potential in improving developer productivity, optimizing certain development tasks, and more efficiently allocating human resources in projects. However, the study also points out the need for human intervention to verify, correct, and improve generated code. The study contributes to understanding the practical usefulness of chatbots in real development scenarios and offers recommendations for integrating AI tools into the software development process.

Trust and Security in AI-Generated Documentation

This paper examines the potential of the Artificial Intelligence (AI) tools in the context of software development tasks and the generation of associated documentation. The first part of the paper surveys software professionals' perceptions of how AI impacts task completion times. The second part of the paper examines the utilization of the AI tool ClaudeMind to generate technical and non-technical documentation for a PDF management microservice. Two prompts are submitted to ClaudeMind, and the resulting documentations are evaluated for overall quality and suitability. This research is motivated by studies indicating that Large Language Model (LLM) performance can deteriorate with increasing complexity, highlighting the need to understand AI’s strengths and limitations in specific domains. This paper aims to provide insights into the current state of AI in software engineering and whether it can be used to automate tedious tasks such as writing and maintaining the documentation.

Practical results of scattered waves using for prediction of fractures zones and evaluation of faults conductivity concerning oil and gas field

The main task in the modern development of the oil industry in in each area is creating a rational strategy for the exploration and hydrocarbon production. This strategy ensures an optimal balance between the required production level and explored reserves. In this regard, oil and gas geophysics requirements are constantly increasing. Geological exploration is being reoriented to search for complex oil and gas traps. Importance of the issues related to the uneven lateral distribution of reservoir properties — primarily porosity and permeability of rocks — is increasing. Standard methodological techniques used in seismic studies no longer provide reliable solutions of geological tasks.This article focuses on testing technology of fracture zone prediction in geological sections and assessing conductivity for fluids of tectonic disturbances at oil and gas fields. The solution of this task will significantly increase the efficiency of pools development concerning oil and gas fields characterized by complicated geological structure. Typically, evaluation of faults and fractures conductivity is accomplished on the basis of geological and production data. Fault conductivity and fracture zone data in explicit form is not used neither in geological modeling nor in hydrodynamic modeling. This study presents an attempt to apply the diffuse seismic wave field to predict fracture zones in the geological environment and the properties of faults at a real site. Modelling was carried out to assess the potential of this approach, confirming the technology's viability. Further, real data was processed and compared with field data. Real data was processed and compared with field data.

Results of exploration and evaluation of 4D effects based on repeated 3D seismic survey in aquatorial part of gas and condensate field

Seismic monitoring (4D seismic survey) of developed oil fields is a new direction in seismic survey. It is designed to solve the main task of field development – maintaining production rates while enhancing the oil recovery factor. Seismic monitoring of reservoir systems is series of 3D seismic surveys, spaced in time in order to receive the dynamic image of processes within the reservoir.This article focuses on this promising direction and based on a real practical example. In 2008, 3D seismic surveys were conducted in aquatorial part of oil and gas condensate field, using the standard methodologies available then. This data formed the basis for the geological and hydrodynamic models of the field. Today, this field is in the stage of deep development of reserves. To assess, forecast, and involvement in development of new promising reservoirs in deeper intervals, a repeated 3D survey with improved observation system parameters was carried out in 2017.As a result, two sets of data were collected for the same area, nine years apart. This created the prerequisite for evaluating 4D effects on the reservoirs that had been in operation throughout this period. To isolate the expected effects, 2D seismic-geological modeling was performed, and the seismic data were processed using a unified processing schedule. This article presents the results of data processing and analysis. The potential of using repeated 3D seismic surveys in aquatory for field development monitoring is demonstrated.

Improving information retrieval bug localization with query reformulation and haar transform

The daily tasks for Developers are searching source code, to find pieces of code to reuse, to find where to implement changes, in order to fix a coming bugs implied by a specific report, using a query. Locating relevant files depends largely on the quality of the query used. This localization is done with a query formed by a few keywords; the effectiveness of returned results depends strongly on this query, which in case of poor formulation it will lead to biased result. In this paper, we use query reformulation technique to reinforce our results related to bug localization with haar transform (ZOUAIRI & M K ABDI, 2023). Experiments on SWT Eclipse project demonstrate that the algorithms can significantly improve the retrieval performance by 90% averagely, compared to the performance of the original queries given in the benchmarks. Experiments also show that our method can be applied to query expansion and works satisfactorily in selection of good expansion terms.

СОСТОЯНИЕ И ПЕРСПЕКТИВЫ РАЗВИТИЯ ХМЕЛЕВОДСТВА В ЧУВАШСКОЙ РЕСПУБЛИКЕ

The brewing industry of the Russian Federation at the present stage is characterized by a high level of raw material dependence on supplies of raw materials, in particular hops, from foreign countries. The Chuvash Republic is a region that not only produces the largest volume of hops in the country, but also a territory where conditions are formed for the intensification of this important industry. Based on the study of the period of formation and development of the hop-growing industry in the region, the authors identified the reasons for the decline in hop production, most of which are directly related to the activities of brewing industry enterprises. The breakdown of production and economic ties between agricultural producers and processors has become the main reason for the crisis in the hop-growing industry of the Russian Federation. The state of the current potential for the development of hop growing in the Chuvash Republic is assessed by experts as quite stable. The region has preserved scientific and educational competencies that are implemented both in the field of selection and seed production, and in engineering and technological support; a machine-building cluster is being formed to localize the production of machines, units and equipment for hop growing. Currently, the first large investment project in hop growing in the country is being implemented in the Chuvash Republic, initiated by the Baltika brewing company. The authors believe that this investment model is key to the development of hop growing in the country, since along with the production of hops, related industries are developing, as well as new points of generation of production capacities for hop processing are being formed. The most important direction for realizing the potential for the development of hop growing is state support for the development of the industry, which covers all production and technological processes of hop cultivation and processing. Intensification of hop growing in the region is the most important task of the socio-economic development of the Chuvash Republic, as well as ensuring technological sovereignty in this industry.

The conflict of innovators and adaptors in the business processes of research and development in a company: the socio-physical approach to resolving contradictions

The article is devoted to studying a social conflict between two groups of employees of a company during the process of development and implementation of innovation – the innovators and the adaptors. The purpose of the study is to justify the opportunity and the potential effects of applying the new approach based on socio-physical analogies to model and manage the conflicts in research and development process in a company. The author suggests a methodology based on contemporary post-non-classical paradigm formed on the principles of global evolutionism, interdisciplinarity, openness and non-linearity; on socio-physical approach to assessing the conflict; on the historical method of studying social phenomena in time and determining the connection between the past, present and future; on criticaldialectical method of analyzing the contradictions between social groups as the source of transformation; on the systematic analysis of the conflict as a complex self-developing in time process and the systematic synthesis for resolving social contractions in the research and development process in a company. The author introduces a method for classifying employees into two groups depending on their attitude to new ideas, solutions and way of behavior in solving creative tasks – the innovators and the adaptors. It is believed that project teams in development and implementation of innovation should consist of employees of both types. However, working in one team with people of antagonistic views can cause conflict situations. It is justified that to model and manage such social conflicts it is possible to apply methods of socio-physics ensuring the representation of conflict as a change in behavioral reactions and aimed at ensuring the cohesion of group members and their depolarization. The significance of the study lies in providing the opportunity to analyze the contradictions of the participants’ interests in the process of their interaction in performing the tasks of development and implementation of innovation on the basis of socio-physical approach. The developed methodology takes into account the revealed peculiarities of the research and development process, complex intra-group and intergroup relations of the confl icting groups, allows working out the requirements to modelling the process of the conflict interaction and forecasting its development scenarios.

Can Large-Language Models Replace Humans in Agile Effort Estimation? Lessons from a Controlled Experiment

Effort estimation is critical in software engineering to assess the resources needed for development tasks and to enable realistic commitments in agile iterations. This study investigates whether generative AI tools, which are transforming various aspects of software development, can improve effort estimation efficiency. A controlled experiment was conducted in which development teams upgraded an existing information system, with the experimental group using the generative-AI-based tool GitLab Duo for estimation and the control group using conventional methods (e.g., planning poker or analogy-based planning). Results show that while generative-AI-based estimation tools achieved only 16% accuracy—currently insufficient for industry standards—they offered valuable support for task breakdown and iteration planning. Participants noted that a combination of conventional methods and AI-based tools could offer enhanced accuracy and efficiency in future planning.

Exploring rural resident’s Digital Capital against external shocks in digital transformation

Digital Capital and its economic implications have gained significant attention in digital transformation era. In rural areas, external shocks can easily lead to widespread income fluctuation, making the enhancement of income resilience a central long-term task for rural development. This study addresses the critical issue of improving rural resident’s income resilience against external shocks in digital transformation by exploring the mechanism and effect of Digital Capital on rural resident’s income-increasing rate through the mediation effect of individual dynamic capabilities by the method of structural equation model (SEM). The Digital Capital and individual dynamic capabilities of rural residents were developed through a confirmatory factor analysis (CFA) and validated with a representative sample survey of 289 rural residents in Yantai City, China. The theoretical and empirical contributions to the literature lie in that: (1) clarifying the quantitative relationships among Digital Capital, rural resident’s income-increasing rate (concrete benefits in the offline arena) and individual dynamic capabilities. (2) exploring the mechanism by which Digital Capital operates on the specific outcomes. The findings indicate that rural resident's Digital Capital has a direct impact on their individual dynamic capabilities, and can influence rural resident's income-increasing rate from the perspective of total effect; Furthermore, the analysis demonstrates individual dynamic capabilities fully mediate the relationship between Digital Capital and the income-increasing rate of rural residents.

OVERVIEW OF THE FACTORS OF ENSURING THE QUALITY OF PRE-SCHOOL EDUCATION UNDER THE CONDITIONS OF THE MARTIAL STATE

The review article is devoted to the analysis of the quality of preschool education, a categorical-conceptual approach to understanding the essence of the concepts of «quality of education», «quality of Preschool Education» and «safe educational environment». It is outlined that geopolitical challenges determine the urgent need to create a safe educational environment. In order to understand the problems and prospects of organizing the educational process by pedagogical workers for the youngest citizens of the state, it is necessary to consolidate the efforts of specialists in the field of Preschool Education in order to solve strategic tasks for further development in this area. It is summarized that turbulent realities, in particular the challenges associated with the Russian-Ukrainian war, regulate new requirements for the organization of the educational process in preschool education. The psycho-emotional state of children, the requests of customers of educational services (parents and persons replacing them), families who have suffered as a result of armed aggression, as well as the need to modify educational programs to the conditions of martial law require special knowledge, adaptation strategies and psychological and pedagogical support from teachers. The authors note that ensuring the quality of Preschool Education in wartime has a legislative basis, namely: ensuring the right to education, which is decisive for the individual and society as a whole. Ensuring the quality of Preschool Education is considered not only as an administrative task, but also as a socio-cultural responsibility, which should be based on a comprehensive approach taking into account the challenges of today, the need for multidisciplinary support and strategic planning in conditions of instability. We have verified that within the sample of institutional institutions (preschool educational institutions), approaches to the quality of the educational process vary, and with martial law, «quality» remains a rhetorical remark.