CAUSES OF CRISIS SITUATION IN UKRAINE SUGAR INDUSTRY ENTERPRISES AND THEIR SOLUTIONS by G. Fyliuk, D. Sytenko

“…The performance of the sugar factories is analyzed. Forecasted assessment of the of PEST- factors on the development of the sugar industry is shown. …”
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A Decision-Aided Situation Awareness Mechanism Based on Multiscale Dynamic Trust by Fangwei Li, Yifang Nie, Jiang Zhu, Haibo Zhang, Fan Liu

“…The purpose of security situation awareness is to recognize, analyze, forecast, and handle the misbehaviors, assisting network management. …”
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Integrative Model of Building the Education System as a Tool of Providing Well-Balanced Transforming Labour Market by A. N. Kuzminov, S. G. Tyaglov, L. S. Arhipova, N. V. Sedova

“…The article provides a new approach to building a system of continuous education as interdisciplinary synthesis of theoretical, methodological and instrumental tools of analyzing, forecasting, projecting and state governance. These problems are discussed in the context of labour market stability. …”
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Trends in Russian Logistics Development: Forecasts and Reality by A. P. Garnov

“…The goal of the article is to analyze forecasts and actual development of Russian logistics on the basis of concrete example, figures, quotations and references to research. …”
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FOREIGN DIRECT INVESTMENT IN UKRAINE: A PATHWAY TO SUSTAINABILITY by Michael Hedegaard, Larysa Hrytsenko, Liliia Derkach

“…The methodology involves a multidimensional approach, incorporating quantitative analysis of FDI inflows and outflows from 2013 to 2023 in Ukraine, regulatory framework examination, correlation and regression analyses to identify key factors influencing FDI dynamics, forecasting and others. By analyzing, forecasting and comparing Ukraine’s FDI trends with selected European countries, particularly in the context of geopolitical challenges and economic instability, the study provides a thorough understanding of the unique barriers and opportunities Ukraine faces in attracting FDI. …”
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IoT-driven real-time weather measurement and forecasting mobile application with machine learning integration by Jul Jalal Al-Mamur Sayor, Nishat Tasnim Shishir, Bitta Boibhov Barmon, Sumon Ahemed, Md. Moshiur Rahman

“…APIs (Application Programming Interface) enable efficient data input and retrieval, guaranteeing smooth connection and integration between the sensors and the forecasting algorithms. Moreover, we analyze forecasts from Google and systematically compare them with our localized predictions to highlight the advantages of site-specific deployment for achieving superior localized outcomes. …”
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Evaluation of the 2022 West Nile virus forecasting challenge, USA by Ryan D. Harp, Karen M. Holcomb, Renata Retkute, Alisa Prusokiene, Augustinas Prusokas, Zeynep Ertem, Marco Ajelli, Allisandra G. Kummer, Maria Litvinova, Stefano Merler, Ana Pastore y Piontti, Piero Poletti, Alessandro Vespignani, Andre B. B. Wilke, Agnese Zardini, Kelly Helm Smith, Philip Armstrong, Nicholas DeFelice, Alexander Keyel, John Shepard, Rebecca Smith, Andrew Tyre, John Humphreys, Lee W. Cohnstaedt, Saman Hosseini, Caterina Scoglio, Morgan E. Gorris, Martha Barnard, S. Kane Moser, Julie A. Spencer, Maggie S. J. McCarter, Christopher Lee, Melissa S. Nolan, Christopher M. Barker, J. Erin Staples, Randall J. Nett, Michael A. Johansson

“…Despite this burden, efforts to forecast WNV disease to inform public health measures to reduce disease incidence have had limited success. Here, we analyze forecasts submitted to the 2022 WNV Forecasting Challenge, a follow-up to the 2020 WNV Forecasting Challenge. …”
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