Strengthening Data Literacy in K-12 Education: A Scoping Review by Verena Witte, Angela Schwering, Daniel Frischemeier

“…This scoping review, conducted following PRISMA-ScR guidelines, aims to provide an overview of methods and approaches for enhancing specific sub-skills of data literacy and to identify research gaps. Analysis of 30 relevant papers reveals that, although various definitions and models of data literacy exist, most emphasize data analysis skills. …”
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Models for Overdispersion Count Data with Generalized Distribution: An Application to Parasites Intensity by Burcu Durmuş, Öznur İşçi Güneri

“…In addition, the model developed by Famoye can be used in the analysis of count data. …”
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Supply Chain Data Governance Optimization Based on Fuzzy DEMATEL-ISM by Yaoxi Liu, Jinyu Wei, Xiaoxuan Wang

“…The results of the DEMATEL analysis identified 16 key indexes for data governance optimization. …”
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Modeling and computational study of cancer treatment with radiotherapy using real data. by Parvaiz Ahmad Naik, Muhammad Farman, Saba Jamil, Muhammad Umer Saleem, Kottakkaran Sooppy Nisar, Zhengxin Huang

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Distribution of Large-Scale English Test Scores Based on Data Mining by Na Chu, Wanzhi Ma

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Russian Language in Everyday Discourse of Mongols (Data from an Expert Survey) by Ch. S. Tsybenova, V. G. Zhalsanova

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Comparison between Statistical Approaches and Data Mining Algorithms for Outlier Detection by Annisa Putri Utami, Anwar Fitrianto, Khairil Anwar Notodiputro

“…So, identifying outliers before conducting data analysis is a crucial thing to do. Outlier detection methods/techniques were first pioneered by researchers in statistics. …”
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Investigating the practices and preferences of health scholars in sharing open research data. by Muhamad Prabu Wibowo, Lorri Mon

“…Descriptive and inferential statistical analyses of the data included frequencies, cross-tabulations, descriptive ratio statistics, and the non-parametric Kruskal-Wallis one-way analysis of variance. …”
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Multi-WSN Simulator with Log Data for Efficient Sensing on Internet of Things by Young-Sik Jeong, Hyun-Woo Kim, Neil Y. Yen, Jong Hyuk Park

“…Accordingly, this paper proposed the WS3L (wireless sensor simulator using sensor log) as a simulator aimed at the composition of a more efficient sensing infrastructure and problem analysis for Internet of Things. This WS3L utilized sensor log data for precise prediction, not merely execution depending on simulators developed earlier. …”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…The purpose of the study is to carry out a comparative analysis of various methods for correcting atypical values of statistical data on the stock market and to develop recommendations for their use.Materials and methods. …”
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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

“…In conclusion, this study offers valuable information for more effective classification and analysis of World Happiness Index data by comparing the performance of various machine learning algorithms.…”
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Transformation of the Agricultural Sector in Sulawesi Island: A Panel Data Approach by Lestari Gita Nur'aini, Teguh Endaryanto, Muhammad Irfan Affandi

“…The analytical approaches used include descriptive analysis of panel data processed with Microsoft Excel and panel data regression. …”
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The adoption of mobile health applications by physicians during the COVID-19 pandemic in developing countries: The case of Saudi Arabia by Sultan Alsahli, Su-yin Hor

“…Despite the critical role of such technologies, however, acceptance and adoption rates among physicians in developing countries, particularly Saudi Arabia, have been relatively low. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…This transition reduces the demand for low-skilled labor while increasing the demand for highly specialized professionals in AI development, data analysis, AI ethics, and cybersecurity. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation by Qian Li, Yiyong Sui, Mengying Luo, Bin Guan, Lu Liu, Yuan Zhao

“…Second, relevant characteristic parameters were chosen from geological conditions, production characteristics, and fracturing techniques to perform clustering analysis on fracturing intervals in the data sample. …”
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About Sectoral Statistical Toolkit and Statistical Data on the Number of Foreign Students by O. N. Gutsynuk, A. V. Ridiger

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Flax domestication processes as inferred from genome-wide SNP data by Yong-Bi Fu

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Reconstruction of gene regulatory networks from single cell transcriptomic data by M. A. Rybakov, N. A. Omelyanchuk, E. V. Zemlyanskaya

“…Historically, the first approach for the GRN reconstruction was based on the analysis of published data (including those summarized in databases). …”
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Designing the Minimum Data Set for National Scorpion Sting Registry in Iran by Mehraban Shahi, Mehran Shahi, Farid Khorrami, Nasrin Davaridolatabadi

“…The present study attempted to develop a minimum data set for a national registry of scorpion stings. …”
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An Artificial Intelligence Pipeline for Hepatocellular Carcinoma: From Data to Treatment Recommendations by Zhang X, Yang L, Liu C, Yuan X, Zhang Y

“…AI further enhances patient management through remote monitoring and intelligent support systems, enabling real-time data analysis and personalized care. In research, AI improves big data analysis and clinical trial design, uncovering new biomarkers and optimizing patient recruitment and outcome prediction. …”
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