The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea by Chun Yang, Bingying Shi, Jinzhong Min

“…The results show that the AGRI all-sky assimilation experiment can obtain better analyses and forecasts. Furthermore, it is proven that the combination application of AGRI radiance and SST products is beneficial for typhoon prediction.…”
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Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis by Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim

“…Forecast performance improves during winter, with average RMSE and MAPE reductions of 14.61 MW and 1.53 %, respectively, attributed to consistently lower load demand. …”
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Forecasting Asparaginase Need and Cost for Childhood Cancer Using ACCESS FORxECAST by Terence M. Hughes, Nitin Shrivastava, Lewis B. Silverman, A. Lindsay Frazier, Sumit Gupta, Avram Denburg

“…Short shelf lives, intermittent availability, and concern for substandard formulations in LMICs have created a need for proactive ASN demand estimates.METHODSWe adapted FORxECAST, a pediatric cancer drug forecasting model, to focus on ASN for pediatric ALL. …”
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Forecasting global progress in breast cancer control in the context of the sustainable development goals by Jagpreet Chhatwal, Catherine Duggan, Gizem S Nemutlu, Nathaniel David Mercaldo, Ethan Thayumanavan, Tiannan Zhan, Barri M Blauvelt

“…Using vector autoregressive time-series analyses, we modelled and forecasted income-level and county-level mortality rates and MIRs for female breast cancer from 2020 to 2030.Results From 2015 to 2030, breast cancer mortality is projected to increase by 22.8% and 7.8% in low-income and lower middle-income countries, while decreasing by 10% and 5.4% in upper middle-income and high-income countries. …”
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Modeling and forecast of gas hydrate distribution in the Black Sea: main principles and approaches by Volodymyr Iemelianov, Olena Ivanik, Olena Ivanik, Tamara Kukovska, Natalia Fedoronchuk, Natalia Fedoronchuk, Ihor Shuraiev, Eduard Petrushenko, Kateryna Hadiatska

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Forecasting the value of innovation in total knee arthroplasty care: A headroom approach by Thomas M. Otten, Sabine E. Grimm, Bram Ramaekers, Alex Roth, Pieter Emans, Tim Boymans, Maarten Janssen, Ralph Jeuken, Manuela A. Joore

“…TKA is often used and, therefore, poses a healthcare and societal burden, which is likely to increase further. Headroom analyses evaluate a technology under development by making assumptions about its effectiveness. …”
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Epidemiological insights into canine rabies in Chennai: Trends, forecasting and One Health implications by Viswanathan Naveenkumar, Mangalanathan Vijaya Bharathi, Porteen Kannan, B.S. Pradeep Nag, Sureshkannan Sundaram, Nithya Quintoil Mohanadasse, Raghavendra G. Amachawadi, Muskan Dubey, Charley A. Cull, Chandan Shivamallu, Shiva Prasad Kollur, Ravindra P. Veeranna

“…Change point and time series analyses were conducted and forecasting models were evaluated using Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Scaled Error (MASE) metrics. …”
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Using weather forecasts to avoid major emission events of N2O in connection with manure applicationERDA by Line Vinther Hansen, Azeem Tariq, Lars Stoumann Jensen, Sander Bruun

“…However, application of manure at the time of heavy rain events can pose a high risk of nitrous oxide (N2O) emissions, and analysing weather forecasts to avoid this could be important to mitigate emissions. …”
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Vers la généralisation de la prévision hydrologique probabiliste au sein du réseau Vigicrues : estimation, évaluation et communication by Anne Belleudy, Renaud Marty, Etienne Le Pape, Didier Narbais-Jaureguy, Félicien Zuber

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Exploring the NFT market on ethereum: a comprehensive analysis and daily volume forecasting by Mingdong Tang, Xingyu Feng, Weili Chen

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Forecasting Energy Consumption of a Mining Plant Using Artificial Neural Networks by Mahmoud Al-Suod, Busher Victor, Tytiuk Valerii, Chorna Olha, Sivyakova Galina, Mohammad Zannon, Zhuk Dmytro

“…It explores existing approaches to modelling and analysing electricity consumption, including methods for forecasting active power to accurately assess the energy needs of industrial enterprises, as well as methods for estimating reactive power required to compensate for reactive components and stabilize grid parameters. …”
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ENERGY DEMAND FORECAST FOR TURKISH AGRICULTURE SECTOR: GRANGER CAUSALITY AND COINTEGRATION TEST by Mehmet Arif ŞAHİNLİ, Ahmet ÖZÇELİK

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Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting by Pablo Fernández-Castillo, Teresa Losada, Belén Rodríguez-Fonseca, Diego García-Maroto, Elsa Mohino, Luis Durán

“…These changes have strong implications for the assessment of seasonal predictability, hence the performance of the SEAS5 seasonal prediction model is analysed. While SEAS5 does not accurately capture the observed non-stationarity, it displays pronounced multidecadal changes in forecast skill. …”
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Demographic Determinants of Creativity: The Analysis of the Development of Creative Potential and Forecast for the Baltic States by Rojenko Vladimirs, Dahs Aleksandrs

“…Considering the negative demographical tendencies in the Baltic States, the aim of this paper is to analyse and forecast the development of creative potential in Lithuania, Latvia and Estonia. …”
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Assessment and forecasting of particulate matter emissions and structural health monitoring of buildings in Bangalore by L. Pinky Devi, R. Chandana, Din Bandhu

“…This study focuses on assessing PM emissions, forecasting Air Quality Index (AQI) levels, and evaluating the structural health of buildings in Bangalore. …”
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Use of Weather Forecast Information among Maize Farmers in Kwara State, Nigeria by Ololade Latifat Abdulrahman, Olayinka Jelili Yusuf, Sola Emmanuel Komolafe, Abdullateef Adeshina Abdulrahman, Stephanie Mngusonum Ukpi

“… This study assessed the use of weather forecast information for maize production in Kwara State. …”
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The Economic Burden of Multiple Myeloma. Definition of a Model for Forecasting Patients’ Costs by Alessandro Corso, Daniele Corso, Silvia Mangiacavalli, Claudio Cartia, Maya Ganzetti, Federica Cocito, Virginia Valeria Ferretti, Cinzia Di Novi, Luca Arcaini

“… Background: The aim of this study was to evaluate healthcare costs in a single-centre population of patients with multiple myeloma (MM), in an attempt to develop a model for forecasting costs. Methods: A cohort of 387 MM patients, diagnosed at Policlinico San Matteo (Pavia, Italy), between 2002 and 2014, was analysed grouping patients into those eligible (n=223) or not eligible (n=164) for transplantation. …”
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Medium-term forecast of the age structure of teachers in secondary schools in the Russian Federation by L. V. Vasilieva, K. V. Lebedev, E. S. Sumenova

“…The research was based on a general scientific methodology applying a systematic approach and the methods of statistical analysis, comparison, generalisation, systematisation, structuring, interpretation, extrapolation, forecasting, and graphical representation of data. The authors analysed the data in official statistics of the Russian Federation and the Organisation for Economic Cooperation and Development. …”
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Analysing Fire Propagation Models: A Case Study on FARSITE for Prolonged Wildfires by Leonardo Martins, Rui Valente de Almeida, António Maia, Pedro Vieira

“…This analysis underscores the potential of combining accurate forecasts with retrospective validation to improve predictive capabilities in dynamic fire environments, which guided the development of a software platform designed to analyse ongoing wildfire events in real-time, leveraging image satellite data and weather predictions.…”
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Using Seasonal Climate Forecasts to Guide Disaster Management: The Red Cross Experience during the 2008 West Africa Floods by Arame Tall, Simon J. Mason, Maarten van Aalst, Pablo Suarez, Youcef Ait-Chellouche, Adama A. Diallo, Lisette Braman

“…This article demonstrates how a science-based early warning informed decisions and saved lives by triggering action in anticipation of forecast events. It analyses what it took to move decision-makers to action, based on seasonal climate information, and to overcome traditional barriers to the uptake of seasonal climate information in the region, providing evidence that these barriers can be overcome. …”
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