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Accurate estimates of the potential number of daily visitors are an important parameter in the planning of transportation infrastructure, allowing the development of appropriate solutions for specific planning cases. In ...

Hydro-climatic extremes are intensifying across India, underscoring the need for fine-resolution socioeconomic vulnerability (SEV) assessments that can guide adaptation and disaster risk reduction (DRR). Most existing SE...

Drought is a slow-onset natural disaster that has far-reaching effects on agriculture, water security, and socio-economic systems, especially in climate-vulnerable countries such as Malaysia. It is imperative to predict ...

Third-generation biomass constitutes a renewable energy source that could substitute fossil fuels. This study evaluated the biomethane potential (BMP) of Ulva sp., Codium sp. and Undaria pinnatifida through anaerobic dig...

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 digital transformation of higher education institutions (HEIs) has introduced unprecedented connectivity and operational efficiency, but it has also heightened their exposure to cyber threats. South African HEIs, in ...

Digital transformation is a challenge for many areas of modern society functioning. The effects of digitalisation are particularly noticeable in the labour market and are expressed, among others, in new requirements of e...

The role of Generative Artificial Intelligence (Generative AI) in Electronic Customer Relationship Management (Electronic-CRM) systems is reshaping consumer engagement in the banking or financial industry. There is a sig...

Background: Climate change increasingly shapes development outcomes, necessitating its integration into evaluation processes. In Africa, recurrent droughts, floods and temperature extremes disrupt progress across sector...

Measurement of household endowment with durables is crucial in many aspects of assessing the social and economic situation of a country and its citizens. The demand (sales) for durables is regarded as one of the key indi...

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...

Our study delves into factors that influence state budget elements (revenue, spending) and economic growth across EU-27 during the period 2011‒2021. With the help of panel data modelling and secondary data provided b...

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,...

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...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

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...

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...

Abstract Microplastic pollution in freshwater is a global concern, yet field monitoring often lacks standardization, hindering data comparability and analysis. This systematic review bridges the gap between lab findings ...

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...

This Campbell systematic review examines the effects of input subsidies on agricultural productivity, beneficiary incomes and welfare, consumer welfare and wider economic growth. The review summarizes evidence from 15 ex...

Abstract Precision oncology relies on access to high-quality data for increasingly smaller patient subgroups. The international atomCAT consortium investigates the potential of federated learning to support this, using a...

Drawing from Kolberg’s Theory of Moral Development, the study investigated the effect of ethics education (EE) and ethical perception (EP) on prospective accountants’ behaviour towards corruption (BTC). The study emp...

Introduction Postoperative delirium (POD) is a common and serious postoperative complication, with an incidence of approximately 30% among older adults undergoing gastrointestinal surgery. Serotonin has been implicated i...

Abstract Behavioural biases influence investment decisions by altering how investors perceive risks and assess financial data. In developing markets like the Pakistan Stock Exchange (PSX), where behavioural biases affect...