Industrial Centers Research Articles

Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model

With societal progress, urban brownfields have become restrictive, and redevelopment studies have become an important part of urban renewal. In this work, we developed a two-step model for urban brownfield redevelopment, while considering the Wangping brownfield as the study area. Site suitability evaluation models for brownfield parks, agricultural picking gardens, and creative industrial centers were developed based on the elevation, slope, and surface runoff, and the evaluation results were categorized into five levels. The redevelopment plan was formulated based on these evaluation results. To study the effect of the plan, a transition matrix of land use was assessed using satellite images and the cellular automata (CA)–Markov model; based on the analysis, we predicted the land use situation of the Wangping brownfield, with respect to natural development, for 2030. A comparison of the redevelopment planning with the forecasted results revealed that the proportions of grassland, construction, and unused land decreased by 25.68, 3.12, and 2.38% and those of plowland and forest land increased by 6.61 and 24.57%. This confirms the advantages of redevelopment planning for restoring plowland and increasing biological carbon sinks. Notably, our two-step urban brownfield redevelopment model can enrich the current research on urban brownfields and guide similar urban renewal projects.

PROBLEMS OF POST-WAR DEVELOPMENT OF REGIONAL HEALTHCARE (based on materials from the administrative department of Gorky Regional Committee of the All-Union Communist Party (Bolsheviks))

The article reveals health problems in the City of Gorky and Gorky Region in the period of 1945 – early 1950s. Topicality of the study is connected, first of all, with the insufficient development of this topic in historiography. On the other hand, the secrecy of a number of archival funds and the gradual work on declassifying socially significant documents require their timely involvement in scientific circulation. The source base is the materials of the State Socio-Political Archive of Nizhny Novgorod Region and the Central Archive of Nizhny Novgorod Region. The City of Gorky and the regional centres of Gorky Region, especially Dzerzhinsk, were important industrial centres in the post-war period. Gorky was also one of the major transport hubs. The article notes that these factors directly influenced the development of regional medicine. With the outbreak of the Cold War, medical documentation became closed. The author focuses on the analysis of medical documents of the administrative department of Gorky Regional Committee of the All-Union Communist Party of Bolsheviks. Data on the state of health care in the region is just at the moment being introduced into scientific circulation. The research is based on the principles of historicism, scientific objectivity, and determinism. Methods of analysis, synthesis, comparative historicism, chronology were used. The novelty of the research lies in obtaining new knowledge about the conditions of the state, functioning and reform of the health care system of Gorky Region, as well as about the organisation of fighting social diseases, such as venereal ones and tuberculosis, in the post-war period. The author highlights the main problems of regional medicine of the period under study and the proposals of Party bodies to resolve socially significant issues.

Dual-channel infrared OPO lidar optical system for remote sensing of greenhouse gases in the atmosphere: Design and characteristics

Current global warming and climate change under the greenhouse effect call for a thorough understanding of the spatial distribution of greenhouse gases in different atmospheric layers. Lidar systems are the most effective for remote greenhouse gas monitoring. We design a two-channel infrared OPO lidar optical system for remote DIAL/DOAS sensing of carbon dioxide and water vapor in the atmosphere. In this work, optimal geometric parameters of the transceiving channel of the lidar optical system are chosen, a need to focus laser radiation at a distance of 1 km from an observation point is demonstrated, and numerical simulations confirm the possibility of detecting lidar signals ranging from 10−7 to 10−10 W in the informative spectral range 4800–5100 cm−1 (1960–2083 nm). Laboratory experiments with the main components of the lidar system with experimentally confirmed parameters, which simulate atmospheric measurements of CO2 absorption at a calibrated sensing wavelength of 2005 nm (4987 cm−1) (pressure of 1 atm; CO2 concentration corresponding to the midlatitude summer background atmosphere) in the informative spectral range of the lidar system, enable selecting a pair of wavelengths with resonant absorption of the target gas near 2005 nm to study the background state of the atmosphere in the surface layer. Efficiency of the lidar optical system is confirmed by in situ test experiments, where backscattering signals from a topographic target with an albedo of ∼0.15 spaced 168 m apart from an observer are recorded at 60 mV when operating along a horizontal atmospheric path. The lidar system we design can be used in measuring complexes at carbon test sites. It can also be used for atmospheric monitoring in industrial centers, at background measuring stations, and in swamp areas.

머신러닝 분류 모형을 이용한 Netflix 콘텐츠 시청 시간 예측

The OTT (over-the-top) market has become the center of the media industry, showing rapid growth since COVID-19, and the competitiveness of an OTT platform largely depends on the quality and quantity of its contents. In this environment, this study aims to develop a model that can predict viewing time of each content based on its characteristics, utilizing machine learning techniques and the recent viewership data released by Netflix. This study used content characteristics data collected from IMDB and TMDB as predictor variables, and developed classification models applying Random Forest, Support Vector Machine (SVM), and XGBoost algorithms. The performance of each model was evaluated using Confusion Matrix and the AUC (area under the ROC curve) measure. As a result, all three algorithms showed good performance and XGBoost has demonstrated the best performance. The proposed model is expected to support OTT platforms to make a better decision on purchasing content licences or making original contents by effectively predicting the success or failure of the content in advance.

INOVASI E-COMMERCE UNTUK OPTIMALISASI PROSES KONSUMEN, PRODUKSI, DAN PEMASARAN BAGI PELAKU UMKM

E-commerce technology enables efficient online transactions, providing customers with a convenient and efficient purchasing experience. In terms of production, e-commerce information systems can be integrated with production management, enabling monitoring of the production process, optimizing production efficiency and reducing the risk of stock shortages. E-commerce technology also opens up opportunities for more sophisticated marketing strategies, as MSMEs can utilize consumer data analysis, increasing customer appeal and ordering and sales. E-commerce technology facilitates direct interaction between consumers, fostering closer relationships and improving customer experience. The development of e-commerce technology has significantly increased the effectiveness and efficiency of MSMEs specifically in the fried chicken sector, enabling them to compete in the digital business era. The purpose of this study is to develop an E-Commerce information system in the "Maju Makmur" Kalasan fried chicken industry center that manages MSMEs fried chicken. The research method is a prototype model. This model starts from data collection, system design and testing. The stages of the prototyping development model consist of: communication, rapid planning, rapid modeling, construction, and delivery. The results of this study are a web-based system to optimize consumer, production, and marketing processes in order to increase operational efficiency and market access through an online platform.

Dynamics of the total mercury content in the hair of adolescent residents of the industrial center of Northwest Russia (Cherepovets City).

Total mercury content dynamics were evaluated in the hair of adolescent residents of the industrial center of North West Russia. The content of total mercury varied from less than 0.002 to 0.83mg/kg. The content of total mercury in the hair of males was 1.5-2 times lower than that of females. The relationship between the body mass index of females and the content of total mercury in the hair (for the entire observation period rs = 0.28-0.48, at p < 0.05) was observed. Metal's concentration in the hair of the study participants was found to depend on of fish consumption frequency. Total mercury concentration values were found to increase of 70% of the participants, by 0.03mg/kg per year on average, over 3years of study. Indicators of the content of total mercury in the hair of females and males in the city of Cherepovets did not exceed the standard values established in Russia and in the world. At the same time, the recorded values of the annual increase in the content of total mercury in the hair allow us to predict the potentially hazardous levels of metal in the body of the study participants when they reach adulthood.

Financial and Market Implications of the CSX-Conrail Acquisition

Conrail, Consolidated Rail Corporation, founded in 1976, was established due to the bankruptcy of multiple railway companies in the Northeast and Midwest regions of the United States. The federal government intervened to establish the company with the aim of restoring the services and profitability of bankrupt railways. As it developed, Conrail's railway network covered major cities and industrial centers in the Northeast and Midwest of the United States, possessing a strong market position and strategic value. Therefore, Conrail had become a target for mergers and acquisitions by large railway companies such as CSX and Norfolk Southern. Through mergers and acquisitions, the acquiring party could expand market coverage, enhance operational network connectivity and competitiveness. This is a complex and multi-layered issue, the CSX acquisition of Conrail involved financial and market implications, legal obstacles, competitive pressures, and strategic objectives. By analyzing these themes in depth, we could understand the key issues and response strategies that enterprises face in the M&amp;A process, providing valuable experience for future M&amp;A transactions. The study applied methods such as comparative analysis and case model analysis to analyze the main challenges, response strategies, and effects comprehensively and systematically in the M&amp;A process, providing reference for similar cases. Overall, CSX's acquisition of Conrail demonstrates how companies can achieve acquisition goals and long-term development through flexible strategies, effective communication, and professional management in the face of complex legal, market, and operational challenges.

Commercial and industrial centers of the Samara region in the second half of the XIX – early XX century

The article considers the formation process of the commercial and industrial centers of the Samara region in the post-reform era. Despite there are scientific works that cover the topic of the formation and development of commercial and industrial entrepreneurship in the Samara province, the issue presented in the article can be considered as one of the unstudied. The scientific literature is not yet clearly defined the main factors that influenced this process. These factors include natural and climatic conditions, pace of establishment and development of agricultural production and other branches of farming industry, modernization of transport and financial infrastructure. The source base of the article is presented by administrative documentation, guidance and statistical materials, sources of personal nature, and fiction. The most significant sources include the documentary publications that contain a large amount of historical information, for example, «Lists of populated areas» for 1859, 1889, 1900, 1910. They contain valuable information about the geographical location of trade and industry facilities. On the basis of these and other materials, comparative-historical, analytical, methods of periodization and systematization, conclusions were formulated about the stages of the formation and development of shopping and industrial centers, their geographical placement, as well as that the modernization of transport and financial infrastructure gave a powerful impetus to the development of trading -Industrial activities of both the provincial capital and county centers, as well as a number of settlements, which at the end of the XIX-early XX centuries were shopping and industrial centers.

Age trend in the mortality from diseases of the circulatory system during the pandemic under a decrease in air pollution

Introduction. The results of large-scale studies of the mortality from diseases of the circulatory system (DCS) during the pandemic require further analysis of the data and the search for modifying factors. The purpose is to identify the features of the trend in the mortality from DCS in the population of an industrial center during a pandemic under changes in air pollution. Materials and methods. The research was carried out in the industrial center – Bratsk. Age-specific mortality rates were studied using exponential models in the background (2017) and pandemic (2021) periods. The contribution of atmospheric air pollution to the mortality rate was calculated in accordance with the “Guidelines for assessing the risk to public health from exposure to chemical substances that pollute the environment.” Results. The age-related increase in the mortality rate from DCS over 2017 was 125%, and during 2021 – 172%. During the pandemic, the excess mortality rate was in cases older 80 years – 35.92‰, 70–79 – 8.48‰, 60–69 – 1.03‰. PM10 levels in the air decreased from high to alarming levels in 2021, resulting in a reduction in excess PM10-related deaths from 194 (CI: 193.6–195.1) to 5.0 (CI: 4.8–5.1) cases. Limitations are associated with incomplete epidemiological knowledge about the dependence of mortality from DCS on exposure to air pollutants. Conclusion. The use of nonlinear regression analysis made it possible to demonstrate changes in trends in age-specific mortality during the background period and during the pandemic. During the pandemic, the level of excess mortality was revealed to relate with PM10 air pollution decreased.

Peculiarities of length-weight somatometric indices in school-age children of the industrial center

Introduction. Children’s health is of particular value, being a medical, biological and social and labour potential for any state. Objective and informative health indices include parameters of the physical development. The aim of the study is to assess length-weight somatometric indices in children studying in general educational institutions of Ulan-Ude. Materials and methods. The sample of respondents included nine hundred thirty two school-age children. Variables were sampled for length and weight, body mass index was calculated and compared with WHO criteria. Descriptive statistics are expressed as mean and standard deviation, Student’s t-test was used to compare means. Results. Among children of the industrial center, persons with harmonious physical development predominate (51.9±2.6%). Among the variants of disharmonious physical development in boys and girls, excessive body weight (27.3±2.3% and 22.9±1.9) and high height (12.6±1.7% and 14±1.6%, respectively) prevailed. The proportion of other variants of disharmony (low length, body weight deficit and their combination) is small. The phenomena of sexual dimorphism are quite pronounced in children – acceleration of growth differed from the general patterns earlier by 2–3 years. Limitations. The results of the study have limitations in relation to children with various health disorders. Given the small number of age groups, as well as the fact that children of one industrial center were examined, the diagnostic significance of the data obtained may be less objective. Conclusion. Regional features of growth-weight somatometric indices are important to timely identify children with disharmonious development as early as possible to prevent long-term consequences.

Monitoring of suspended matter in the Dnipro River within Zaporizhzhia city, the main trends of 2022

The article presents the results of monitoring observations on the temporal distribution of the qualitative and quantitative components of the Dnipro River suspended matter within Zaporizhzhia city. The research on the territory of this powerful industrial center of Ukraine with a developed metallurgical complex was carried out from 2015 up to 2019 and from the end of 2021 to the present time. The main task of the research was determining the distribution of iron and a group of heavy metals of anthropogenic origin in the composition of the river suspension, and identifying the connections of their concentrations and forms with the natural conditions of the region. Sedimentary matter from the water flows of Dnipro River within research area was sampled once per month using sedimentary traps developed by authors. The methods of electron microscopy (with microprobe analysis) and laser diffraction analysis were used to study the suspension granulometric and chemical composition in the Center for Shared Use of Scientific Equipment of the IGS NASU. SEM studies were carried using scanning electron microscope SEM JEOL-6490 LV (Jeol Ltd., Japan) with an energy dispersive spectrometer of the X-ray microanalysis system INCA Energy+ (Oxford Instruments plc., Great Britain). Particle size analysis was determined using the laser particle size analyzer Mastersizer 2000 with a Hydro 2000S wet dispersion module (Malvern Ins. Ltd, UK).The study results of the samples taken in the first year of hostilities in Ukraine revealed a number of features which were not observed in the previous series of studies. Those peculiarities are the following ones: reduction in the intensity of sedimentary matter accumulation; decrease of technogenic components in the suspension content (in particular, the amount of ferrous metals, changes in the ratio of condensed and dispersed iron particles of silt size, as well as the component composition of fragments of alloys of non-ferrous and ferrous metals). The obtained results may indicate the sensitivity of the component composition of the suspension to changes in the external environment in general, as well as the significant impact of the anthropogenic component on the distribution of iron in suspended matter.

Multi-Scale Meteorological Impact on PM2.5 Pollution in Tangshan, Northern China.

Tangshan, a major industrial and agricultural center in northern China, frequently experiences significant PM2.5 pollution events during winter, impacting its large population. These pollution episodes are influenced by multi-scale meteorological processes, though the complex mechanisms remain not fully understood. This study integrates surface PM2.5 concentration data, ground-based and upper-air meteorological observations, and ERA5 reanalysis data from 2015 to 2019 to explore the interactions between local planetary boundary layer (PBL) structures and large-scale atmospheric processes driving PM2.5 pollution in Tangshan. The results indicate that seasonal variations in PM2.5 pollution levels are closely linked to changes in PBL thermal stability. During winter, day-to-day increases in PM2.5 concentrations are often tied to atmospheric warming above 1500 m, as enhanced thermal inversions and reduced PBL heights lead to pollutant accumulation. Regionally, this aloft warming is driven by a high-pressure system at 850 hPa over the southern North China Plain, accompanied by prevailing southwesterly winds. Additionally, southwesterly winds within the PBL can transport pollutants from the adjacent Beijing-Tianjin-Hebei region to Tangshan, worsening pollution. Simulations from the chemical transport model indicate that regional pollutant transport can contribute to approximately half of the near-surface PM2.5 concentration under the unfavorable synoptic conditions. These findings underscore the importance of multi-scale meteorology in predicting and mitigating severe wintertime PM2.5 pollution in Tangshan and surrounding regions.

Identification of Quantitative Trait Loci Associated with Plant Adaptation Traits Using Nested Association Mapping Population.

This study evaluated 290 recombinant inbred lines (RILs) of the nested association mapping (NAM) population from the UK. The population derived from 24 families, where a common parent was "Paragon," one of the UK's spring wheat cultivar standards. All genotypes were tested in two regions of Kazakhstan at the Kazakh Research Institute of Agriculture and Plant Industry (KRIAPI, Almaty region, Southeast Kazakhstan, 2019-2022 years) and Alexandr Barayev Scientific-Production Center for Grain Farming (SPCGF, Shortandy, Akmola region, Northern Kazakhstan, 2019-2022 years). The studied traits consisted of plant adaptation-related traits, including heading date (HD, days), seed maturation date (SMD, days), plant height (PH, cm), and peduncle length (PL, cm). In addition, the yield per m2 was analyzed in both regions. Based on a field evaluation of the population in northern and southeastern Kazakhstan and using 10,448 polymorphic SNP (single-nucleotide polymorphism) markers, the genome-wide association study (GWAS) allowed for detecting 74 QTLs in four studied agronomic traits (HD, SMD, PH, and PL). The literature survey suggested that 16 of the 74 QTLs identified in our study had also been detected in previous QTL mapping studies and GWASs for all studied traits. The results will be used for further studies related to the adaptation and productivity of wheat in breeding projects for higher grain productivity.

Zoning of the Lower Volga Region and Formation of Territory, Okrug, District and Rural Bodies of Soviet Authority in 1928: First Stage

Introduction. The article examines the process of formation of the Lower Volga region and Soviet authorities at the level of regional, district, and rural administration at the first stage of zoning (before the liquidation of okrugs). Methods and materials. The research was carried out based on traditional methods of historical research (historical-genetic, retrospective, historical-systemic, and historical-comparative). The use of an array of unpublished archival documents stored in the State Archives of the Volgograd Region and the Documentation Center for Contemporary History of the Volgograd Region, and materials from periodicals and legislative sources of government bodies of the USSR and the RSFSR, greatly facilitated the research process. Analysis. The study is aimed at identifying the regional specifics of the zoning process and the accompanying process of formation of Soviet authorities (at the level of councils and executive committees of councils of the Lower Volga region). Results. The zoning of the Lower Volga region already at the first stage revealed a range of problems, the systematic solution of which in the future will make it possible to transform the agricultural region into the industrial center of the Volga region. In the process of reform, along with positive aspects – the reduction in cost of the management apparatus, the bringing closer to the population of Soviet authorities endowed with significant powers (district executive committees and councils) – there were also clearly negative consequences. The distance of rural councils from middle management and the consolidation of individual rural councils, on the one hand, led to the planned reduction of hardware costs but, on the other hand, excluded remote villages from active public life. Districts became the main operational unit of economic and Soviet work in the region. There were several issues to address, including the imbalance between districts with different population sizes, from small ones with just over 2,000 people to large ones with populations approaching 100,000. Additionally, there was a lack of communication between administrative units and personnel problems, which emerged as a significant hurdle in the development of district and rural Soviet administration at the second stage of zoning (in the conditions of the liquidation of okrugs).

Assessment of Heavy Metals (Cr, Cu, Pb, and Zn) Bioaccumulation and Translocation by Erigeron canadensis L. in Polluted Soil

This work aims to assess the bioavailability and bioaccumulation of Cr, Cu, Pb, and Zn in the soil–plant system (Erigeron canadensis L.) in the zone of anthropogenic impact in Dnipro city, a significant industrial and economic centre of Ukraine. Sampling was carried out at three locations at distances of 1.0 km, 5.5 km, and 12.02 km from the main emission sources associated with battery production and processing plants in Dnipro. The concentrations of heavy metals such as Cr, Cu, Pb, and Zn were analysed using atomic emission spectrometry from soil and parts of Erigeron canadensis L. The highest concentrations of elements in the soil, both for the mobile form and the total form, were determined to be 48.96 mg kg−1 and 7830.0 mg kg−1, respectively, for Pb in experimental plot 1. The general ranking of accumulation of elements in all experimental plots, both for the plant as a whole and for its parts, was as follows: Zn &gt; Cu &gt; Cr &gt; Pb. Zn for plants was the most available heavy metal among all studied sites and had the highest metal content in the plant (339.58 mg kg−1), plant uptake index (PUI-506.84), bioabsorption coefficient (BAC-314.9), and bioconcentration coefficient (BCF-191.94). According to the results of the study, it is possible to evaluate Erigeron canadensis L. as a hyperaccumulator of Zn, Cu, and Cr and recommend it for phytoextraction of soils contaminated with Zn, Cu, and Cr and phytostabilization of soils contaminated with Pb.

The potential of shading to optimize the performance ratio of a solar power system

The aim of this research is to investigate the effect of shading to evaluate the performance ratio (PR) of a solar power system. In order to accomplish the objective of this study, the PVsyst software was utilized to assess the impact of shading, generate an energy input/output loss diagram and determine the PR during the entire year. This work only considers shading effect due to the position of a building and the location of the PV site. The suggested method also evaluates the financial analysis of the proposed PV system, specifically focusing on the payback period (PBP) and return on investment (ROI). Two types of perspective design of the PV position for the values of tilt and azimuth have been evaluated. The value of tilt and azimuth were 15o and 0° for design-1 and design-2 with different perspective, such as North building and South building for design-1 and design-2, respectively. The result of optimization illustrated that the PR yearly levels for Designs-1 and 2, were 0.821 and 0.759, respectively. In addition, the financial analysis investigated to examine PBP and ROI, were 8.1 years with 140.5 % return rate; 8.7 years with 110 % return rate, respectively. The proposed method has been simulated and analysed for applied on the rooftop of Teaching Industrial Learning Centre building, the University of Gadjah Mada (UGM) Yogyakarta-Indonesia.

Spatial Analysis of Air Pollutants in an Industrial City Using GIS-Based Techniques: A Case Study of Pavlodar, Kazakhstan

The given research employs high-resolution air quality monitoring and contemporary statistical methods to address gaps in understanding the urban air pollution in Pavlodar, a city with a significant industrial presence and promising touristic potential. Using mobile air quality sensors for detailed spatial data collection, the research aims to quantify concentrations of particulate matter (PM2.5, PM10), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ground-level ozone (O3); assess their distribution; and identify key influencing factors. In this study, we employed Geographic Information Systems (GISs) for spatial analysis, integrating multi-level B-spline interpolation to model spatial variability. Correlation analysis and structural equation modeling were utilized to explore the relationships between variables, while regression analysis was conducted to quantify these relationships. These techniques were crucial for accurately mapping and interpreting spatial patterns and their underlying factors. The study identifies PM2.5 and NO2 as the primary contributors to air pollution in Pavlodar, with NO2 exceeding the 24 h threshold in 87.38% of locations and PM2.5 showing the highest individual air quality index (AQI) in 75.7% of cases. Correlation analysis reveals a positive association between PM2.5 and AQI and a negative correlation between NO2 and AQI, likely due to the dominant influence of PM2.5 in AQI calculations. Structural equation modeling (SEM) further underscores PM2.5 as the most significant impactor on AQI, while NO2 shows no significant direct impact. Humidity is positively correlated with AQI, though this relationship is context-specific to seasonal patterns observed in May. The sectoral analysis of landscape indices reveals weak correlations between the green space ratio (GSR) and air quality, indicating that while vegetation reduces pollutants, its impact is minimal due to urban planting density. The road ratio (RR) lacks sufficient statistical evidence to draw conclusions about its effect on air quality, possibly due to the methodology used. Spatial variability in pollutant concentrations is evident, with increasing PM2.5, PM10, and AQI towards the east-northeast, likely influenced by industrial activities and prevailing wind patterns. In contrast, NO2 pollution does not show a clear geographic pattern, indicating vehicular emissions as its primary source. Spatial interpolation highlights pollution hotspots near industrial zones, posing health risks to vulnerable populations. While the city’s overall AQI is considered “moderate”, the study highlights the necessity of implementing measures to improve air quality in Pavlodar. This will not only enhance the city’s attractiveness to tourists but also support its sustainable development as an industrial center.

Tools for development of the Russian electric power industry in the current realities

Electric power industry is one of the most important sectors of Russian economy that satisfies the needs of the country’s population, companies of various areas of economy in electric and thermal energy and supplies it for the CIS and Non-CIS countries. Due to this, it is significant to study the tools for development of Russian electric energy industry in the current realities, and this is the basis of the article. The purpose of the article is to study the modern tools for development of electric energy industry and work out the recommendations on their improvement. The following aspects are considered as the main tools for development of electric energy industry: interconnection of electric grid resources, carbon neutrality, legislative acts, digital technologies, financial instruments aimed at attracting investment, accumulation systems (portable sources of electricity), electric transport, and green energy. The methodological basis of the research is the analysis of scientific publications and Internet resources, synthesis and generalization of the data acquired. The authors of the study have analyzed the most significant tools that can be used to develop the electric energy industry in the current situation, and worked out the recommendations on improving the effectiveness of their implementation. To provide a full-fledged solution of the tasks set in the article the authors have analyzed the dynamics of the electric energy industry, identified the basic principles of its development, the peculiar features of their implementation, worked out the opportunities and recommendations for their improvement. According to the results of the study it has been suggested to establish a new institute – a specialized international innovation centre of electric energy industry which will ensure attraction of investment, formation of effective cooperation with friendly countries and development of green energy industry. The authors have identified the tools providing for the development of electric energy industry in Russia, worked out recommendations on their improvement, suggested a new institute of financing and development of electric energy industry. The results of the study in hand can be used in the activity of the companies involved in electric energy industry and further research on the topic.

The Impact of the Expansion and Contraction of China Cities on Carbon Emissions, 2002–2021, Evidence from Integrated Nighttime Light Data and City Attributes

Exploring the impact of urbanization on carbon emissions is crucial for formulating effective emission reduction policies. Using nighttime light data and attribute data from 68 Chinese cities (2002–2021), this paper develops an urban development evaluation system with the entropy method. The Lasso method is employed to select key factors affecting carbon emissions, and hierarchical regression models are utilized to analyze these factors across different city types. The results show the following: (1) The extraction of built-up areas using integrated nighttime light data yields an overall accuracy ranging from 70.90% to 98.87%, reflecting high precision. (2) Expanding cities have predominated over the past two decades, indicating a continued upward trend in urbanization in China. (3) Urban development is influenced by internal characteristics and geographic location: contracting cities are mainly inland heavy industrial centers, while expanding cities are located in economically advanced coastal regions. Additionally, it is also impacted by the growth of surrounding cities, exemplified by the imbalance between central cities and their peripheries within metropolitan areas. (4) The expansion of built-up areas is a significant factor affecting carbon emissions across all city types. For expanding cities, managing population growth and promoting tertiary sector development are recommended, while contracting cities should focus on judicious economic planning and virescence area protection.

A Mixed-Method Study of ICT Labour Market in Ho Chi Minh City

The purpose of this study is to provide insights into Information and Communication Technology (ICT) labour market in Ho Chi Minh City – the most important centre of VietnameseICT industry. The study was conducted using an innovative mix of semi-structured interview, online survey, desk research, and content analysis methods. Qualitative and quantitative data on enterprise profiles, business directions, employment situation, employment prospect, and job profiles in the industry were collected and analysed to provide a view of the ICT labour market and the ICT employers in Ho Chi Minh City. As it is probably the most comprehensive survey of the ICT labour market for Ho Chi Minh City, the data has been used for the development of a labour market information system. ® 2024 Journal of Science and Technology - NTTU