The Use of Biomass in the Visegrad Group Countries and Its Determinants by Piotr Kułyk, Mariola Michałowska

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DEVELOPMENT OF DATA MESH DATA PLATFORM WITH ML DOMAIN OF DATA ANALYSIS by M. Fostyak, L. Demkiv

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Renewable Energy Index: The Country-Group Performance Using Data Envelopment Analysis by Geovanna Bernardino Bello, Luana Beatriz Martins Valero Viana, Gregory Matheus Pereira de Moraes, Diogo Ferraz

“…Despite the recognized environmental superiority of renewable energy systems, there is a lack of globally standardized indicators specifically focused on renewable energy efficiency. This study aims to develop and apply a non-parametric data envelopment analysis (DEA) indicator, termed the Renewable Energy Indicator (REI), to measure environmental performance at the national level and to identify differences in renewable energy efficiency across countries grouped by development status and income level. …”
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Post-development sentiment and statistical analysis of different groups of psychiatric medications by Farshad Ghassemi Toosi, Alireza Ghassemi Toussi

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Activities and projects of the Bibliographical Data Working Group (DARIAH-EU) by J. M. Łubocki, E. Herden, D. Siwecka

“…This working group since 2019 brings together specialists (as of today: 38 researchers) from a number of different countries and the main goals of the group are to foster the development of cooperation between bibliographies and serve as a platform for knowledge exchange aimed at bringing together creators of bibliographical data, scholars interested in using those resources in data-driven research, and theorists of bibliography and documentation. …”
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The Growth Impact of Human Development: A Developed- and Developing-Country Comparison by Funda Hatice Sezgin, Yunus Budak

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Four groups of noncommunicable diseases in outpatient health care: analysis of medical information system data by Ekaterina P. Kakorina, Irina V. Samorodskaya, Vera N. Larina, Vladimir G. Larin

“…The analysis included four groups of noncommunicable diseases: malignant neoplasms, cardiovascular diseases (ICD-10 codes I00–I99), chronic obstructive pulmonary disease, and diabetes mellitus. …”
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Scenario Grouping and Classification Methodology for Postprocessing of Data Generated by Integrated Deterministic-Probabilistic Safety Analysis by Sergey Galushin, Pavel Kudinov

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An Empirical Analysis of Mental Health and Social Support in the Elderly of Different Age Groups: A Survey and Analysis of Data from China by Huiyuan Qiang, Lin Liu

“…To explore the effects of social support on the mental health of older adults in different age groups in China, and to provide reference for the development of social support policies to promote the mental health of older adults in China. …”
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Analysis of subjective well-being in European Union countries: Group DEA and NPE by Marta Dziechciarz, Maciej Szczeciński

“…Furthermore, the efficiency of selected social policy areas in homogenous groups of EU countries was evaluated. The twofold efficiency analysis included Data Envelopment Analysis (DEA) to conduct a deepened study on efficient countries and the Non-Profit Efficiency (NPE) method, both supporting social policy recommendations design aimed at enhancing better health policy outcomes and health-related well-being. …”
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Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities by K. V. Mulyukova, I. V. Mulyukov, V. M. Kureichik

“…The results obtained can be used both for the primary study of big data processing technologies and as a basis for the development of real applications in the following areas: analysis of changes in the area of houses over time, analysis of changes in the number of floors of urban development, dynamics and distribution of supply and demand, etc.…”
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Estimating complete migration probabilities from grouped data: A methods protocol for developing a global Human Internal Migration Database. by Sigurd Dyrting, Andrew Taylor

“…In this paper we extend the P-TOPALS and P-spline methods for smoothing migration probabilities to apply to grouped data by ages to develop a methods protocol for a harmonised, homogeneous format and multi-nation Human Internal Migration Database. …”
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Data visualization of complex research systems aligned with the sustainable development goals by Francisco Carlos Paletta, Audilio Gonzalez-Aguilar, Lise Verlaet

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Hybrid Model of Singular Spectrum Analysis and ARIMA for Seasonal Time Series Data by Gumgum Darmawan, Dedi Rosadi, Budi N Ruchjana

“…Hybrid models between Singular Spectrum Analysis (SSA) and Autoregressive Integrated Moving Average (ARIMA) have been developed by several researchers. …”
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Digital Country Rankings for the Visegrád Group Countries with DEA and TOPSIS by Zoltán Bánhidi, Imre Dobos, Noémi Kalló, Ariella Janka Tarjáni

“…Our paper is based on the five principal dimensions of the International Digital Economy and Society Index (I-DESI), but instead of using the original scoring model based on arbitrary pre-determined weights, we apply more objective ranking methods that use the statistical properties of the data series to determine where the Visegrad Group (V4) countries (Czechia, Hungary, Poland and Slovakia) stand in terms of digital development among the countries of the European Union and other developed countries in the data set. …”
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Association Between Digital Addiction and Physical Activity in Korean Adults Across Age Groups: An Analysis of Community Health Survey Data by Kyungsin Lee, Inmyung Song

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Interest groups in Lithuania: dynamics of development and characteristics of institutionalization by Alvidas Lukošaitis

“…Therefore, in this article, the author embarks to ground the analysis by generalizing the empirical data. The focus of the study is to identify and analyze tendencies manifested during the initial institutionalization period of the interest group system. …”
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Identification and analysis of factors affecting the technology transfer process in the power train of automotive (Case study : Iran Khodro Industrial Group) by ٍEbrahim Doostzadeh, Abbas Toloie Ashlaghi, Manochehr Manteghi, Reza Radfard

“…Exploratory factor analysis is one of the data clustering methods in the field of data mining. …”
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Development and validation of a clinical prediction rule for development of diabetic foot ulceration: an analysis of data from five cohort studies by David Weller, Francesca M Chappell, Richard D Riley, Angela Martin, Matilde Monteiro-Soares, Margaret Horne, Graham P Leese, Fay Crawford, Andrew J M Boulton, Caroline Abbott, Aristidis Veves

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Education for sustainable development’s role in influencing sustainable consumption behaviour among international students: a multi group analysis by Simon Thabo Mahlaole

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