The burden of carbon monoxide poisoning in China from 1990 to 2021 and forecasts to 2050 by Yanwu Yu, Jinzhou Yu, Ding Yuan, Fang Yang, Hongyi Yan, Pin Jiang, Mengnan Guo, Zhigao Xu, Gaiqin Yan, Yan Zhang, Yanxia Gao

“…AimThis study aimed to analyze the disease burden of carbon monoxide poisoning (COP) in China from 1990 to 2021 and to forecast future trends.MethodsData were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. …”
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E-Waste and Responsible Consumption in EU Countries – Developments and Forecasts 2025-2030 by Ramona Pîrvu, George H. Ionescu, Elena Jianu, Luiza Loredana Năstase, Răducu Ștefan Bratu

“…Based on the data published so far by EU member states, using the autoregressive integrated moving average (ARIMA) forecasting model, we have extrapolated the 2010-2018 trends in the indicators for the management of waste electrical and electronic equipment, thus providing a useful insight into their potential evolution until 2030. …”
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Choosing Methodology of Strategic Planning as a Basis of Sustainable Development of the Enterprise in Conditions of Unstable Economy by N. V. Barinova

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Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

“…Given the inherent errors in demographic forecasting, the reliability of estimating a 10% deviation is questionable. …”
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Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence by Amanda M. Y. Chu, Jenny T. Y. Tsang, Sophia S. C. Chan, Lupe S. H. Chan, Mike K. P. So

“…We demonstrate that the merged search volume (MSV), derived from the relative search volume data downloaded from Google, can be used to forecast the prevalence of long COVID in a prediction study, supporting the use of the methodology in risk management regarding the prevalence of long COVID. …”
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Improving seasonal precipitation forecasts in the Western United States through statistical downscaling by B Vernon, W Zhang, Y Chikamoto

“…This analysis indicates that downscaled products can capture localized features more accurately than the original coarse resolution forecasts, reducing forecast error across the western United States. …”
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The Type of Regime and Indices of Socio-Political Instability: The Experience of Quantitative Analysis by S. E. Bilyuga

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Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model by Mohammed Alruqimi, Luca Di Persio

Subjects: “…Crude oil price forecasting…”
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Sentiment-Driven Bitcoin Price Range Forecasting: Enhancing CART Decision Trees With High-Dimensional Indicators and Twitter Dynamics by Lei Shang

Subjects: “…Bitcoin price forecasting…”
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TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models by Mohamed Mahmoud Hasan, Neamat El-Tazi, Ramadan Moawad, Amany H. B. Eissa

“…Finally, a thorough empirical analysis showing consistent outperformance of the proposed model over all the forecasting measures against baseline models.…”
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A Novel Method for Forecasting Global High-Resolution Precipitable Water Vapor With the Pangu-Weather System by Liangke Huang, Zhouao Zheng, Ge Zhu, Haohang Bi, Haojun Li, Lilong Liu

“…High-accuracy, real-time precipitable water vapor (PWV) products with high spatiotemporal resolution are of great significance for precipitation forecasting, extreme weather monitoring, and early warning. …”
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Co-movement forecasting between consumer sentiment and stock price in e-commerce platforms using complex network and entropy optimization by Mingyue Wang, Rui Kong, Rui Kong, Jianfu Luo, Wenjing Hao

“…Prior research has focused on predicting individual indicators, but not much of them attempt to forecast their co-movement. We propose a novel Rule Combination based on Bivariate Co-movement Network (RC-BCN) approach for bivariate co-movement forecasting. …”
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Spatio-temporal dynamics of urbanization and environmental sustainability: A predictive modelling approach to forecasting land use transitions in Vellore, India by Sai Saraswathi Vijayaraghavalu, Kumaraguru Arumugam, Sakshi Dange

“…Demographic analysis shows that the district’s population has more than doubled since 1990, rising from 3.07 million to a projected 6.26 million by 2025, further intensifying land and resource pressure. …”
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A Multi-Stage Feature Selection and Explainable Machine Learning Framework for Forecasting Transportation CO₂ Emissions by Mohammad Ali Sahraei, Keren Li, Qingyao Qiao

“…This research aims to establish an adaptable, precise, and transparent forecasting structure for transport CO₂ emissions of the United States. …”
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A Comparative Analysis of the Calibrated DSGE Model and SSA Method Results on the Latvian Economy by Sergejs Hilkevics, Valentina Semakina

“…The methodological basis of this paper is two approaches of economic forecasting theory: technical analysis and fundamental analysis. …”
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Deterministic Echo State Networks Based Stock Price Forecasting by Jingpei Dan, Wenbo Guo, Weiren Shi, Bin Fang, Tingping Zhang

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Econometric Theory Unveiled : Building Blocks for Effective Economic Analysis by Kaouthar Souad KOUDA

“…The study also proposes ways of refining these models by incorporating additional variables, thereby strengthening their relevance for economic analysis in an evolving context. …”
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“Revealing the future”: an ARIMA model analysis for predicting remittance inflows by Imran Khan, Darshita Fulara Gunwant

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Prediction and analysis of power consumption and power loss at industrial facilities by E. Y. Abdullazyanov, E. I. Gracheva, A. Alzakkar, M. F. Nizamiev, O. A. Shumikhina, S. Valtchev

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INFORMATION MODELING OF DEVELOPMENT PROCESSES BASED ON THE SYSTEM ANALYSIS OF "BOTTLENECKS" by N. I. Komkov, A. A. Lazarev, V. S. Romantsov

“…Purpose: the purpose of the presented research is to expand the possibilities of using information-logical models for the analysis of forecasting "bottlenecks" and quantitative assessment of ways to eliminate them in the development of socio-economic systems.Methods: the implementation of this research is based on the use of basic principles, properties and rules of construction of phased informationlogical models for solving complex problems. …”
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