Research hotspots and trends in sustainable development goals by Guofeng Wang, Baohui Zhao

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Bibliometric Analysis in the Development of Public Sector Digitalization by Windhi Gita Prabawa, Dyah Mutiarin, Eko Priyo Purnomo, Sataporn Roengtam

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ANALYSIS OF THE SUSTAINABLE DEVELOPMENT OF AGRO-TOURISM IN ROMANIA by Mihaela STANCIU, Liviu MARCUTA, Alina MARCUTA, Cristiana TINDECHE, Mariana PREDA (ALEXE)

“…The data were collected from official sources and interpreted to highlight both growth trends and regions with low potential, with the intention of offering helpful data for the creation of agritourism sustainable development plans. …”
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Analysis of Developments in the Dairy Cattle Sector of Turkey by Arif Semerci, Ahmet Duran Çelik, Eylem Durmuş

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SOME ANALYSIS ASPECTS OF COMMODITY MARKET DEVELOPMENT by Lyudmila V. Borisova, Valery P. Dimitrov, Natalia P. Semenyuk

“…Certain statistical data whose analysis permits to estimate current commodity market tendencies is given. …”
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ANALYSIS OF LEVEL OF THE RUSSIAN DIGITAL ECONOMY DEVELOPMENT by N. Malyshkin, E. Halimon

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Analysis of Factors Affecting Regional Development in Iran by hujjat mirzazadeh, Taher Parizadi

“…The population according to the latest political divisions of 31 provinces and indexes evaluated 33 indicators in four dimensions (Economic, infrastructure-physical, socio-cultural and health), respectively. For data analysis, factor analysis and cluster analysis techniques were used. …”
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Analysis of the development of consumption and production of steel cord by A. V. Vedeneev, Yu. L. Bobarikin, V. P. Zalewski

“…Analysis of the development of metal cord production showed that it is expected to increase investment in the production of metal cord with a planned increase in production by 22% until 2022. …”
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Factor analysis of the development of tourism business in Kazakhstan by A. T. Tleuberdinova, Z. M. Shayekina, D. M. Salauatova, S. Pratt

“…Through the analysis of available secondary data, this research aims to identify the most important factors influencing tourism entrepreneurship in Kazakhstan.Given the importance of market development and entrepreneurship for economic growth, this study seeks to understand the relationship between entrepreneurship and other macroeconomic indicators. …”
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DataMetProcess: An open-source package and Shiny application for the acquisition and processing of meteorological data from INMET by Wagner Martins dos Santos, Hoi Leong Lee, Edimir Xavier Leal Ferraz, Abelardo Antônio de Assunção Montenegro, Lady Daiane Costa de Sousa Martins, Alan Cézar Bezerra, Ênio Farias de França e Silva, Thieres George Freire da Silva, João L.M.P. de Lima, Xuguang Tang, Alexandre Maniçoba da Rosa Ferraz Jardim

“…The DataMetProcess package and the developed web application are effective in processing the data provided by INMET, democratizing access to information and facilitating analysis through the interactive web application. …”
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Development of Metamaterial Industry in China: Analysis and Suggestions by Ji Zhou, Lianmeng Zhang

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INVESTIGATION AND ANALYSIS OF DEVELOPMENT OF ORGANIC AGRICULTURE IN IRAN by Hamied VALIZADEH, Soleiman RASOULIAZAR, Loghman RASHIDPOUR

“…This research was carried out using the descriptive-survey research method. The data were collected by questionnaire and processed using factor analysis SPSS21 software. …”
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ANALYSIS OF THE LEVEL OF INCLUSIVE DEVELOPMENT IN UKRAINIAN IT INDUSTRY by Victor Kloba

“…A significant share in the structure of the IT sector belongs to companies engaged in the provision of information services, including data processing, posting information on websites and related activities, development and support of web portals and other information services. …”
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Statistical Analysis of the Economic Development of the Brics Countries by M. G. Balyhin, M. M. Shajlieva, A. P. Tsypin

“…Statistical methods such as tabular, graphical, generalization and correlation regression analysis were used to achieve this goal. Data sources were from the World Bank, the UN Statistical Committee and the BRICS national statistical services.Results. …”
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Challenges and technical development of storage systems in the era of large language models by FENG Yangyang, WANG Qing, SHU Jiwu

“…This paper conducts an in-depth analysis of the challenges faced by storage systems in the era of large language models: (1) the data of large language models exhibits a high degree of fragmentation, and sparse semantic representation further reduces storage system efficiency; (2) large language model training and inference demand high data read/write bandwidth, but the high communication overhead associated with data transfer across heterogeneous storage media complicates the expansion of GPU memory using these media; (3) the fault tolerance requirements during large language model training are stringent, yet directly applying CPU-centric fault tolerance techniques incurs prohibitive costs. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

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Analysis of economic prosperity index based on big data of electricity by Yujiao LIU, Kunhuang SONG, Xiang WANG

“…Prosperity analysis is a statistical analysis method of economic cycle.By using monthly or quarterly data economic statistics sequence,the stage of economic development in periodic fluctuations can be analyzed and judged,which can provide reference for government economic policy decision-making and implementation.Electricity data is the “barometer” of national economy.Based on spatio-temporal electric power data and classical economic prosperity model,X13-ARIMA seasonal adjustment algorithm was firstly introduced in the calculation of electric prosperity index to construct an economic prosperity index based on big data of electric power,which objectively reflected the economic operation status and assists in predicting the economic development trend.The calculation achieves the economic goal from the perspective of electricity and provide reference for government policy making.…”
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Analysis of economic prosperity index based on big data of electricity by Yujiao LIU, Kunhuang SONG, Xiang WANG

“…Prosperity analysis is a statistical analysis method of economic cycle.By using monthly or quarterly data economic statistics sequence,the stage of economic development in periodic fluctuations can be analyzed and judged,which can provide reference for government economic policy decision-making and implementation.Electricity data is the “barometer” of national economy.Based on spatio-temporal electric power data and classical economic prosperity model,X13-ARIMA seasonal adjustment algorithm was firstly introduced in the calculation of electric prosperity index to construct an economic prosperity index based on big data of electric power,which objectively reflected the economic operation status and assists in predicting the economic development trend.The calculation achieves the economic goal from the perspective of electricity and provide reference for government policy making.…”
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The impact of artificial intelligence (AI) on maternal mortality: evidence from global, developed and developing countries by Nicholas Ngepah, Charles S. Saba, Ariane Ephemia Ndzignat Mouteyica, Abieyuwa Ohonba

“…Methods Using panel data from 70 countries (1990–2022), sourced from WHO’s Global Burden of Disease (GBD), World Bank’s World Development Indicators (WDI), UNCTAD, and the World Robotics database, we apply the Difference-in-Differences (DiD) approach to assess AI’s impact over time and the Auto-Regressive Distributed Lag (ARDL) model to examine short- and long-term effects. …”
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Boosting the Development and Management of Wind Energy: Self-Organizing Map Neural Networks for Clustering Wind Power Outputs by Yanqian Li, Yanlai Zhou, Yuxuan Luo, Zhihao Ning, Chong-Yu Xu

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