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The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

The present work focuses on the computational modelling of fluid flow in a mixing stirred reactor to describe the flow pattern in two‐dimensional (2D) detail, which can be useful for optimizing the parameters of electr...

Due to enormous technological progress, socio‑economic science has gained new possibilities of investigating complex and not well‑known socio‑economic phenomena. One of the recent promising research approaches is a...

Background: Students’ prior mathematical knowledge plays a critical role in their success in university mathematics, yet it is often treated diagnostically rather than instructionally. Aim: This study examines studen...

In the power plants operation, the combustion process will produce particulate emissions. Particulate emissions themselves are known have a negative impact on health, such as causing respiratory problems. The pattern of ...

Abstract Owing to the widespread usage of synthetic dyes, water contamination prompted by these materials has led to a severe menace on aquatic ecosystem and also on living organisms health. Chitosan modified with cyanog...

A comprehensive computational fluid dynamics model was developed to analyse the solar pyro-gasification of thermally thick biomass particles, with particular emphasis on the effects of initial moisture content and sample...

Climate change is creating serious challenges for fisheries in coastal Nigeria. Fisheries extension workers, who support fishers with advice and training, must themselves be resilient to continue delivering services. Thi...

A novel full-atom multiscale method, combining different computational approaches and aimed to describe diffusion of multiple ions in anion exchange membranes (AEM), is presented. The method is used to evaluate diffusion...

Phase change materials (PCM) are receiving ever-growing attention as a promising construction material for improving building energy performance through thermal storage and peak load shifting. The analysis of PCM perform...

IntroductionThe rapid emergence of the digital workplace has accelerated the integration of artificial intelligence (AI) into human resource management (HRM). However, empirical research on the determinants of AI adoptio...

The column tests on advection-dispersion are commonly used to measure the contaminant transport parameters in soils. The applicability of boundary conditions for analytical modelling of the column tests is under debate. ...

In the present study, the transmission error (TE) behaviour of an identical involute spur gear pair dynamically coupled with an attached subsystem is investigated through numerical modelling. The surrounding mechanical s...

The Bahía Blanca Estuary is a complex system of channels and tidal flats where the most important deep water harbour system of Argentina is located. The main goal of the present work was to obtain a hydrodynamic conce...

Ecohydrology is an emerging discipline in the environmental sciences. Soil micro-relief is of relevance to various ecohydrological processes such as rainwater redistribution, seed displacement through water runoff, water...

A small-scale physical modelling system is developed to study the pull-out mechanism of embedded soil nails based on transparent soil and particle image velocimetry (PIV). Four types of soil anchorages, common cylindrica...

Culverts play a critical role in stormwater conveyance, roadway safety, and flood mitigation, particularly within low-lying urban communities vulnerable to extreme rainfall events. In Louisiana, increased rainfall intens...

Objective This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma release assays (IGRAs) among migrants, integrating social vulnerability and...

Abstract Background Long COVID is an infection-associated chronic condition with uncertain evolution, leading to ambiguity in case definitions and various hypotheses about its pathophysiology. Despite this diversity, cau...

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)...

Hydrological models commonly use very simple snow accumulation and melt models based on air temperature information, namely, a temperature threshold for snow accumulation as well as for snowmelt, and a melt factor. This ...

Abstract Balance control is fundamental to the quality of life among older adults, yet its neural underpinnings remain only partially understood. Despite advances in neuroimaging techniques, the neural correlates of bala...

The study investigates how job-sharing practices influence academic staff’s perceived organisational performance of universities in Tanzania. Guided by Herzberg’s Two-Factor Theory, the study conceptualises job shari...

Products often operate in dynamic environments, and field failure data is frequently heavily censored, posing significant challenges in the assessment of product reliability. To enhance the accuracy of field reliability ...