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Cloud Radiative Feedback to the Large‐Scale Atmospheric Circulation Greatly Reduces Monsoon‐Season Wet Bias Over the Tibetan Plateau in Climate Modeling

Jiarui Liu, Kun Yang, Dingchi Zhao, Peili Wu et al. • Geophysical Research Letters (2024)

Abstract Over‐estimation of summer precipitation over the Tibetan Plateau (TP) is a well‐known and persistent problem in most climate models. This study demonstrates the impact of a Gaussian Probability Density Function cloud fraction schem...

DOAJ Open Access (DOAJ) DOI: 10.1029/2024GL109180

A fast three-step second-order explicit numerical approach to investigating and forecasting the dynamic of corruption and poverty in Cameroon

Eric Ngondiep • Heliyon (2024)

This paper constructs a three-step second-order numerical approach for solving a mathematical model on the dynamic of corruption and poverty. The stability and error estimates of the proposed technique are analyzed using the L2-norm. The de...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e38236

Mathematical modeling of the COVID-19 pandemic with intervention strategies

Subhas Khajanchi, Kankan Sarkar, Jayanta Mondal, Kottakkaran Sooppy Nisar et al. • Results in Physics (2021)

Mathematical modeling plays an important role to better understand the disease dynamics and designing strategies to manage quickly spreading infectious diseases in lack of an effective vaccine or specific antivirals. During this period, for...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rinp.2021.104285

Relating increasing hantavirus incidences to the changing climate: the mast connection

Maes Piet, Vandamme Anne-Mieke, Barrios José M, Ducoffre Geneviève et al. • International Journal of Health Geographics (2009)

Abstract Background Nephropathia epidemica (NE), an emerging rodent-borne viral disease, has become the most important cause of infectious acute renal failure in Belgium, with sharp increases in incidence occurring for more than a decade. B...

DOAJ Open Access (DOAJ) DOI: 10.1186/1476-072X-8-1

ODE, regression, and ANN models for energy forecasting: Egypt as a study case

Mohey Eldeen H. H. Ali, Ahmed F. Tayel, Hossam M. Ezzat, Hesham A. Elkaranshawy • Alexandria Engineering Journal (2025)

Energy plays a crucial role in national development, influencing critical sectors such as industry, agriculture, healthcare, and education. Accurate energy consumption prediction is essential for efficient energy management, helping prevent...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2025.04.037

The Evolution of Homo Economicus

Natalia V. Komarovskaia • Vestnik MGIMO-Universiteta (2016)

The article provides a review of the ways in which interdisciplinary research in modern economic thought gives a more realistic understanding of human behavior and economic decision making. On the one hand, economic imperialism drove wider ...

DOAJ Open Access (DOAJ)

Transformation of approaches to mineral resource auditing for augmentation of Russia’s wealth in the current political situation

D. A. Pavlovskiy, J. V. Zvorykina • Известия высших учебных заведений: Геология и разведка (2024)

Background. The mineral resource base is a strategic component of Russia’s economic security and a critical tool for strengthening the country’s position in the international arena. At the same time, economic turmoil and geopolitical tensio...

DOAJ Open Access (DOAJ) DOI: 10.32454/0016-7762-2023-65-6-79-90

RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer

Jiaquan Wan, Junchao Wang, Wei Zhang, Hao Song et al. • Journal of Hydrology: Regional Studies (2025)

Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102703

Inflation impact of food prices: Case of Serbia

Šoškić Dejan • Ekonomika Poljoprivrede (1979) (2015)

Food prices traditionally have an impact on inflation around the world. Movements in these prices are coming more from the supply side, then from the demand side. If treated as a supply shock, monetary policy should not react. However, food...

DOAJ Open Access (DOAJ) DOI: 10.5937/ekoPolj1501041S

Gold Price Forecasting using Time Series Modeling on a Web Platform

Dwi Ratna Puspita Sari, Sirli Fahriah, Kurnianingsih, Santi Purwaningrum • Journal of Innovation Information Technology and Application (2025)

Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...

DOAJ Open Access (DOAJ) DOI: 10.35970/4p33wz16

Multi year changes of Aerosol Optical Depth in the monsoon region of the Indian Ocean since 1986 as seen in the AVHRR and TOMS data

J. P. George, L. Harenduprakash, M. Mohan • Annales Geophysicae (2008)

Aerosol Optical Depth (AOD) data based on AVHRR and TOMS was analyzed to find out the changes in the Indian Ocean from 1981 to 2004. Four regions covering Indian Ocean north of 10° S were studied in detail. The results strongly sugge...

DOAJ Open Access (DOAJ) DOI: 10.5194/angeo-26-7-2008

Forecasting student achievement in MOOCs with natural language processing

Carly D. Robinson, Michael Yeomans, Justin Reich, Chris S. Hulleman et al. • International Conference on Learning Analytics and Knowledge (LAK) (2016)

Student intention and motivation are among the strongest predictors of persistence and completion in Massive Open Online Courses (MOOCs), but these factors are typically measured through fixed-response items that constrain student expressio...

OPENALEX DOI: https://doi.org/10.1145/2883851.2883932

Neural Networks in Business Forecasting

• IGI Global eBooks (2004)

Neural Network is defined as the ability of a group to solve more problems than its individual members.The idea brings that a group of people can solve problems efficiently and offer greater insight and a better answer than any one individu...

OPENALEX DOI: https://doi.org/10.4018/978-1-59140-176-6

Forecast combining with neural networks

R. Glen Donaldson, Mark J. Kamstra • Journal of Forecasting (1996)

This paper investigates the use of Artificial Neural Networks (ANNs) to combine time series forecasts of stock market volatility from the USA, Canada, Japan and the UK. We demonstrate that combining with nonlinear ANNs generally produces fo...

OPENALEX DOI: https://doi.org/10.1002/(sici)1099-131x(199601)15:1<49::aid-for604>3.0.co;2-2

Neural Network Models for Time Series Forecasts

Tim Hill, Marcus J. O’Connor, William Remus • Management Science (1996)

Neural networks have been advocated as an alternative to traditional statistical forecasting methods. In the present experiment, time series forecasts produced by neural networks are compared with forecasts from six statistical time series ...

OPENALEX DOI: https://doi.org/10.1287/mnsc.42.7.1082