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Abstract Background Improving equitable access to fresh fruit and vegetables (FV) remains a critical public health priority in the UK, particularly in low-income communities where affordability, accessibility, and social...

The Global Flood Awareness System (GloFAS) is a promising flood-modelling tool available for most river basins worldwide. However, it contains inherent biases, notably linked to its spatial resolution. This study propose...

Abstract Motion‐activated cameras (‘camera‐traps’) have become indispensable for wildlife monitoring. Data from camera‐trap surveys can be used to make inferences about animal behaviour, space use and populatio...

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...

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...

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...

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...

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...

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...

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...

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 ...

Land evaluation is an essential step in determining the potential use of marginal areas where agricultural productivity is limited by poor soil conditions. Coastal lands represent one of challenging environments, however...

In preparation for the SOOS/OCEAN:ICE Workshop on ice-ocean observation harmonization and future priorities agenda, a survey targeting the modelling community was conducted to assess research priorities for the Southern ...

Pain after surgery is of major perioperative concern because it is associated with substantial complications, including chronic post-surgical pain (CPSP) development. The CPSP incidence is high, and its accurate predicti...

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...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

German transmission system operators received around 400 GW of battery storage connection requests in 2024, an enormous increase from the current 2.3 GW installed capacity. However, uncertainty remains regarding the impa...

ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive me...

Abstract Background Malaria continues to pose a major public health challenge in sub-Saharan Africa (SSA), where more than 95% of global cases and deaths occur. Despite WHO Global Technical Strategy for Malaria (GTS) tar...