Ukrainian organic products market: state and prospects of development by Olena Dobrovolska, José Manuel Recio Espejo

“…The research of the state and trends of the Ukrainian organic market and agricultural production development was conducted, and using the SWOT analysis methodology and the principles laid out in the PEST analysis, its strengths and weaknesses, opportunities and threats were identified. …”
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Development Status and Future Trends for Eurasian Container Land Bridge Transport by Olli-Pekka Hilmola, Weidong Li, Yulia Panova

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Financing sustainable development and the circular economy: essence, sources and bibliometric landscape by Svitlana Strapchuk, Olena Strapchuk

“…The research involves a bibliometric analysis of scientific publications indexed in the Scopus database using the key words “financing sustainable development” and “financing the circular economy”. …”
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A Model‐Independent Strategy for the Targeted Observation Analysis and Its Application in ENSO Prediction by Weixun Rao, Youmin Tang, Yanling Wu, Xiaojing Li

“…Abstract The model‐dependency has been a challenging issue for traditional data assimilation‐based targeted observational method. …”
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Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability by Agate Jarmakovica

“…The methodology involved a comprehensive data preprocessing workflow, including data acquisition, cleaning, and exploratory analysis using established Python tools. …”
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ANALYSIS OF EMERGENCY SITUATIONS IN THE OPERATING ZONE OF THE NORTH CAUCASUS RDU. WAYS OF ITS DEVELOPMENT by D. Gura, A. Korolkov, V. Pastorov, V. Kozhevnikov, V. Yalovoi

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Exploring the Interplay of Broad Money Growth, Financial Expansion, and Digital Connectivity: Implications for Economic Growth Across Developed, Developing, and Emerging Economies by Tryson Yangailo

“…Using World Bank data and employing Jamovi for statistical analysis, the research applies descriptive statistics, correlation analysis, and regression analysis to uncover the relationships among these variables. …”
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CanSeer: a translational methodology for developing personalized cancer models and therapeutics by Rida Nasir Butt, Bibi Amina, Muhammad Umer Sultan, Zain Bin Tanveer, Mahnoor Naseer Gondal, Risham Hussain, Salaar Khan, Rida Akbar, Zainab Nasir, Muhammad Farhan Khalid, Asher Alban Channan-Khan, Amir Faisal, Muhammad Shoaib, Safee Ullah Chaudhary

“…Abstract Computational modeling and analysis of biomolecular network models annotated with omics data are emerging as a versatile tool for designing personalized therapies. …”
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THE SUBSTANTIATION OF THE REGIONAL DEVELOPMENT STRATEGIES, PREMISE FOR THE ABSORPTION OF THE STRUCTURAL AND COHESION FUNDS IN ROMANIA by Aida, CATANĂ

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The Hybrid Market Segmentation of Electric Vehicles in Ukraine Using Data Science Methods by Andrusyk Yevhenii V., Guryanova Lidiya S.

“…To solve the tasks set, a comprehensive approach was applied, incorporating Data Science methods: descriptive statistics, data collection through Data Scraping techniques, natural language processing (NLP) for thematic modeling and sentiment analysis of the reviews, as well as cluster analysis using the k-means algorithm. …”
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Data processing pipeline for scientific publications to identify priority research areas by Iskandar B. Soliev

“…The article aims to develop and test a data processing pipeline for scientific publications, which will allow the systematisation of large amounts of information and provide decision support in scientific organisations. …”
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Socio-Economic Problems of Depressed Settlements of Kazakhstan: an Empirical Analysis by A. T. Moldabekova, G. G. Seitkan, D. M. Mussayeva, A. Yessentay

“…In the conditions of sustainable development, special attention is paid to the balanced development of the territory. …”
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An augmented GSNMF model for complete deconvolution of bulk RNA-seq data by Shaoyu Li, Su Xu, Xue Wang, Nilüfer Ertekin-Taner, Duan Chen

“…Performing complete deconvolution analysis for bulk RNA-seq data to obtain both cell type specific gene expression profiles (GEP) and relative cell abundances is a challenging task. …”
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Enhancing stock market predictions for classifying unlabelled celebrities' twitter data by Baljinder Singh, Mandeep Kaur, Gurbinder Singh Brar, NZ Jhanjhi

“…With the help of Deep Neural Networks, which are specially designed for sentiment analysis in stock market data, and the optimisation skills of the Firefly Algorithm, the suggested method seeks to increase classification accuracy. …”
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Realising value from big data analytics: The process of affordance actualisation by Firdous Mohd Farouk, Christophe Schinckus, Sandra Smith

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Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review by Natalia Tusquellas, Ramon Palau, Raúl Santiago

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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction by Jinfeng Ji, Geunseok Yang

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A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling by My‐Luong Vuong, Geert Verbeke, Erwin Dreesen

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Machine Learning and data mining tools applied for databases of low number of records by Hubert Anysz

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…A web interface has been developed to automate the analysis of new data using constructed machine learning models used to conduct regression analysis to create a binary logistic model (prediction based on collected data of people with socially significant diseases) and a multiclass classification models (prediction based on collected data, which it is the disease that can be detected in a person). …”
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