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Background: Latent tuberculosis infection (LTBI) remains a critical reservoir for the global tuberculosis (TB) epidemic, particularly in South Asia, where high population density and socioeconomic disparities amplify its...

Objective To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast short-term changes in regimen distribution within a provincial HIV treatment programme.Design Population-level longitudin...

Unmanned surface vehicles (USVs) operating in open-sea environments experience significant roll motion due to wave-induced excitation. The dynamic roll response depends on various factors, including vessel speed, wave en...

Abstract Accurate prediction of terrestrial water cycle variables like soil moisture (SM) and evapotranspiration (ET) is crucial, yet existing Deep Learning (DL) models face limitations. Many adopt Single-Task Learning (...

Subsurface temperature uncertainty represents a major risk in geothermal drilling, particularly in volcanic systems where permeability, lithology, and fluid circulation create highly heterogeneous thermal regimes. This s...

Based on the analysis of media reports in January–February 2022 (up to 02/24/2022), the article reveals which forecasts of an all-out Russian invasion were prevalent before its beginning. Quantitative and qualitative a...

The growth of variable renewable energy sources has increased the occurrence of curtailment in power systems, particularly in regions affected by transmission constraints and limited operational flexibility. Reliable for...

Abstract We investigate the skill of the fully initialized decadal forecasting system EC‐Earth3 in re‐forecasting the semiannual occurrence frequencies of synoptic‐scale atmospheric circulation types in the extratr...

Inferência Bayesiana do modelo auto-regressivo foi aplicado para dados em painel a dados reais de DEP´s de touros da raça Nelore publicadas entre 2000 e 2005. Na análise foram consideradas a função de verossimilhan...

Abstract Correlations between week‐long cosmic ray flux perturbations and terrestrial cloud cover have previously been identified. Still, uncertainty persists on whether the cloud response is due to a physical link inv...

Multivariate time series forecasting is pivotal in real-world applications, ranging from energy consumption management and financial market trend analysis to traffic flow prediction and climate monitoring. Yet, it is cri...

Predicting electrical power loads in industrial parks is challenging due to the uncertainty and variance in model construction. This paper proposes an interval forecasting approach based on a residual-form CNN-BiLSTM, wh...

The integration of wind energy into power systems has intensified as a result of the urgency for global energy transition. This requires more accurate forecasting techniques that can capture the variability of the wind r...

Satellite-based crop forecasting in major exporting regions can trigger production shifts in the opposite hemisphere by leveraging seasonal disparities between the Northern and Southern Hemispheres to stabilize global cr...

IntroductionThe escalating frequency of infectious disease outbreaks underscores the urgent need for reliable forecasting systems to support timely public health interventions. Existing approaches—ranging from statisti...

Short-term wind speed forecasting remains challenging due to the inherent nonstationarity and multiscale variability of atmospheric processes. This study proposes a hybrid multiscale forecasting framework combining four-...

The article is devoted to methodological and practical dimensions of statistical assessment of the effect, efficiency, and intensity of the hotel & tourism industry in Ukraine. The aggravated social and economic crisis,...

Selected aspects of methodological developments in socio-economic research are addressed from a conceptual perspective, with outlining the areas of transformations in methodology, and illustrating the feasibilities of it...

Ground aircraft icing has an adverse effect on the aerodynamic performance of aircrafts as well as the efficient operations of airlines and airports. The South African Weather Service (SAWS) Aviation Weather Centre (AWC)...

Abstract The increase in vehicle ownership and urban population puts a strain on roads and increases traffic congestion within developed and developing nations. Congestion affects an individual’s time and increases an ...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

In the face of socioeconomic challenges, this paper develops and empirically demonstrates the Gondauri Index (GI) as a reproducible, diagnostics-first composite framework for benchmarking macro-financial resilience acros...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Pharmaceutical technology has increasingly integrated artificial intelligence (AI) in recent years. This technology offers significant benefits, including saving time and money while enhancing the understanding of the re...