Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data by Ahalya Nalluri, H. Ramesh, Pankaj Ramji Dhote

“…A two-way retrieval method for Sentinel analysis, including individual wet tropospheric correction and back-substitution, determines water levels. …”
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The impact of urban expansion on food production: a bibliometric study of development, hotspots, and future prospects by Congjie Cao, Congjie Cao, Jiayu Wang

“…Research on greenhouse gases, simulation forecasting, carbon footprints, and smart agriculture has emerged as hotspots in this field in recent years. …”
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Clusters of Cyclones and Their Effect on Coast Abrasion in Kaliningrad Region by Stont Zhanna Ivanovna, Esiukova E, Ulyanova Marina

“…Based on archival data, meteorological monitoring, forecast and synoptic maps, an analysis of extreme storms observed in the autumn–winter periods of the early 21st century was done. …”
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Objectification and verification of financial information by A. V. Petukh, V. V. Bashkatov, O. I. Shvyreva

“…To determine the directions of risk management, the author’s classification of these events has been developed depending on the probability of a negative forecast. Recommendations on maintaining proper qualitative characteristics of financial information by means of control are given. …”
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THE ROLE OF AI APPLICATIONS IN ROMANIA’S BUSINESS AND ADMINISTRATION SECTORS by Liana Luminița BOCA, Carmen BOGHEAN

“…This paper examines the role of applications that use artificial intelligence, especially those that use Large Language Models (LLMs) and that provide real-time feedback, decision support system, data analysis and predictive forecasting in two important fields in Romania, the areas of interest being business and public administration. …”
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Influence of Large Vehicles on the Speed of Expressway Traffic Flow by Chao Gao, Jinliang Xu, Xingli Jia, Yaping Dong, Han Ru

“…When the mixing rate of large vehicles is close to zero, the forecast value of the model is the average speed of passenger cars. …”
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A novel framework for inferring dynamic infectious disease transmission with graph attention: a COVID-19 case study in Korea by Minji Lee, Heejin Choi, Chang Hyeong Lee

“…Our findings highlight the importance of incorporating dynamic data and utilizing graph attention mechanisms to enhance accuracy of infectious disease modeling and the analysis of policy interventions. This study underscores the potential of leveraging diverse data sources and advanced deep learning techniques to improve epidemic forecasting and inform public health strategies.…”
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Behavioral economics: science or exoticism? by I. N. Drogobytsky

“…In particular, to organize the synthesis of old and new economic knowledge in addition to the economic theory and its application specific discipline - management, marketing, forecasting, planning, accounting, control, analysis, finance, taxes, investments, etc. - Successfully used the scientific and methodological arsenal of mathematics, computer science, psychology, sociology, cultural studies, conflict resolution systems theory and other scientific fields. …”
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A modern teacher as a subject of students' civil identity formation by O. V. Berezhnaya, A. L. Kobleva

“…It requires further forecasting of the goals and objectives of the teacher training system, as well as constructing models for leveling the professional deficits of teachers in this area of pedagogical activity.…”
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A Natural Language Processing Model for Predicting Five-Star Ratings of Video Games on Short-Text Reviews by Piyush Jaiswal, Hardik Setia, Pranshu Raghuwanshi, Princy Randhawa

“…It is essential to perform consumer feedback analysis if one wants to appreciate market requirements, evaluate game performance, and realize the effect that games have on players. …”
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FORMATION AND FUNCTIONING OF FINANCIAL METAVERSE PLATFORMS by Volodymyr Mishchenko, Svitlana Naumenkova, Svitlana Mishchenko, Ievgen Tishchenko

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Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha by AMIT PRASAD, R.K. SINGH, K V RAMANA RAO, C. K. SAXENA

“…Overall, machine learning models, particularly ANN and SVM, proved to be superior for predicting both long-term (SPI-12) and short-term (SPI-6) precipitation indices, highlighting their effectiveness for accurate drought forecasting. …”
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Disease prediction models and operational readiness. by Courtney D Corley, Laura L Pullum, David M Hartley, Corey Benedum, Christine Noonan, Peter M Rabinowitz, Mary J Lancaster

“…The objective of this manuscript is to present a systematic review of biosurveillance models that operate on select agents and can forecast the occurrence of a disease event. We define a disease event to be a biological event with focus on the One Health paradigm. …”
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Assessment of Constraints Faced by Farm Women in Adaptation Strategies towards Climate Change by A. Pandey, P. Arya

“…Ranking method was used based on percentage of the constraints for the analysis of data. Overall twenty six constraints were listed out. …”
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Insights into the nuclear-organelle DNA integration in Cicuta virosa (Apiaceae) provided by complete plastid and mitochondrial genomes by Seongjun Park, Yong Hwang, Heesoo Kim, KyoungSu Choi

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IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks by Huiyu Min, Jiuxin Cao, Tao Zhou, Qing Meng

“…To address this gap, we propose the multi-view Information Propagation State Awareness (IPSA) model, which aims to simultaneously assess and forecast both the popularity and sentiment strength throughout the information propagation process. …”
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Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques by Rami Mustafa A. Mohammad, Malak Aljabri, Menna Aboulnour, Samiha Mirza, Ahmad Alshobaiki

“…A comparative analysis was performed across the seven ML techniques, and their performance was assessed based on evaluation parameters including classification accuracy, true-positive rate, and false-positive rate. …”
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Digitalization Of Document Management System In Medical Organizations: Theoretical Aspect by T. V. Baranova

“…Their active implementation began in the 2000s, and it is expected that the market volume of document management systems will grow from 6.57 billion US dollars in 2023 to 12.94 billion US dollars by 2028, on average by 14.50% during the forecast period (2023-2028). Significant amounts of health data are collected manually using various internal IT-systems and numerous collections of documents, databases and forms. …”
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Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends by Xiaoling Wang, Li Huang, Dongni Wang, Linyu Liu, Peng Guo

“…This survey presents a comprehensive analysis of the transformative role of Industry 5.0 technologies in advancing smart elderly healthcare services, focusing on China’s evolving digital landscape. …”
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Intelligent Robots, Cyborgs, Genetically Enhanced Individuals, Chimeras: the Future and the Challenges of Law by I. A. Filipova

“…Objective: to identify theoretical and legal problems associated with the steadily increasing spread of digital and biotechnologies’ development products; to assess the risks associated with this process that can change the position of a human in the society of the future; to develop and substantiate proposals to minimize risks and eliminate the identified problems through legal regulation.Methods: the research is based on the methods of generalization of scientific and technical information and theoretical analysis used while studying the source materials; axiological and systematic approaches; the formal legal method and, in addition, methods of legal forecasting, primarily extrapolation, which made it possible to highlight the prospects for reforming law due to technological expansion.Results: include a description of the dynamics of digital and bio-technologies’ development; a description of the changing social landscape with the emerging new types of entities that can affect the actual status of a human; a classification of risks threatening people due to the digital and biotechnologies development; a list of tasks whose solution based on law will help to eliminate, postpone or, at least, significantly reduce the severity of problems by increasing the time limit allotted to humanity to comprehend a number of conceptual points. …”
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