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Thiamethoxam (TMX) is a systemic pesticide that safeguards both perennial and annual crops from pests but presents environmental risks. Effective pesticide regulation requires a thorough understanding of farmers’ behav...

Background Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for in...

The rapid digitalization of financial systems has amplified exposure to cyber risks, posing substantial threats to institutional performance and systemic stability. This study investigates how Cyber Risk Management (CRM)...

Modelling and estimating relationships that combine time series and crosssectional data is often discussed in the statistical literature but in these considerations sampling errors are seldom taken into account. In the p...

This study examines the realised volatility spillover effects between Malaysia's energy market and other sectoral indices on the Kuala Lumpur Stock Exchange from September 2018 to December 2024. To address the limitation...

This article provides a comprehensive economic analysis of the co-operation between the local governments of Ukraine and the Member States of the European Union between 2014 and 2023. The study aims to identify the insti...

Species limits in the Poospiza nigrorufa/whitii complex are not well understood. Three taxa formally described as species are now considered as subspecies (nigrorufa, whitii and wagneri) of a widespread species. The heav...

Lonomia obliqua Walker 1855 (Lepidoptera: Saturniidae) is a species of moth which larvae are responsible for the lonomism, a form of envenomation that has been occurring in Brazil since the 1980s. Despite the importance ...

Water security in the Gulf Cooperation Council (GCC) is under existential threat from aquifer depletion, intensifying climate extremes, and escalating demand. While satellite Earth observation (EO) provides unprecedented...

Abstract Digital technologies and AI promise to optimise complex systems through data-driven decisions, predictive modelling, and anticipatory action. However, this optimisation imperative creates a fundamental paradox: ...

The rapid growth of the digital economy has reshaped employment trends, demanding new digital skill sets to thrive in the modern digital economy. The current study examines the impacts of three essential factors of the d...

Abstract Background Video‐based interventions (VBIs) are an approach that can be used to promote social behavioural skills for autistic children and young people. Despite an abundance of literature in this area, previo...

Abstract Background Malaria remains a major public health challenge in Benin, particularly among children under five years of age. Despite the wide deployment of vector control measures the disease burden remains high. B...

Mathematics readiness at entry remains critical for success in first-year engineering programs, yet many institutions lack transparent, reusable tools to diagnose risk and design levelling policies. This study develops a...

Effects of Pleistocene climatic oscillations on plant phylogeographic patterns are relatively well studied in forest, savanna and grassland biomes, but such impacts remain less explored on desert regions of the world, es...

Plant disease diagnosis in field settings is challenged by subtle symptomology, high inter-class visual similarity, and class imbalance, making automated detection particularly difficult. While deep learning models achie...

Rock avalanches move large volumes of material causing a highly destructive power over large areas. In these events, it is possible to monitor the evolution of slopes but failure cannot be always prevented. For this reas...

When dealing with CFD simulations the turbulent nature is seen on most of the engineering flows and these flows need to be solved. Reliable and applicable CFD outputs can be obtained from the accurate modelling of the tu...

Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneo...

Subsurface energy transition aims to mitigate climate change impacts by reducing carbon emissions while addressing energy needs through utilization of sustainable subsurface resources. It involves harnessing underground ...

Equivalent circuit modeling of microfluidic chips accounts for the transport of fluid and electricity in the entire network of microchannels as a function of the applied pressure and electric potentials. For these calcul...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

Gymnopilus pampeanus (GP) is a mushroom consumed in Argentina. Spent Populus sawdust (SPS) obtained from the cultivation of GP was used to test methane production. The effect of two substrate/inoculums (S/I) ratios was a...

The search for new energy sources has intensified today worldwide. In Argentina, bioenergy continues to be the energy with minor participation in the energy matrix. Therefore, research should focus on searching for new s...