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Abstract BackgroundArtificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review h...

The aerospace industry is a very unforgiving field, where even the smallest error could have catastrophic consequences. To reduce the risk of disaster, multiple systems are put into place to provide accurate information ...

Assessment systems in higher education are typically described through scales, points, and formal procedures. However, can one understand what function assessment actually performs – supporting learning or administrati...

In public healthcare systems, effectiveness is a central requirement for determining which services should be offered and reimbursed. Yet, due to its technical nature and to the need for specification through specialised...

The determination of nasab for children born outside of marriage is a multifaceted legal and social issue, especially within the context of family law in Indonesia. This study delves into the critical role and decisions ...

The present article examines four interrelated elements of the economy: namely, markets, labour, production, and distribution. These elements thus function as principles and laws. This approach is predicated on the premi...

Increasing computing power, the constant development of different types of digital tools or even the use of AI systems – they all provide the EU administration with an opportunity to use automated decision-making (ADM)...

Abstract BackgroundAcute respiratory infections (ARIs) remain a significant global health challenge and are the second leading cause of disease burden and mortality. Early warning systems (EWS) play a key rol...

AbstractPublic health emergencies such as pandemics, natural disasters, and epidemics may require rapid, high-stakes decisions often made by elected officials with limited public health training. Artificial intelligence ...

Small-scale agricultural production systems are characterized by high diversity and complex interactions that challenge their long-term ecological sustainability. This study presents an early-stage methodological prototy...

This research examines the legal implications of Constitutional Court Decision No. 168/PUU-XXI/2023 on employment termination, analysed through the framework of Islamic political jurisprudence (siyasah dusturiyyah). The ...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

The phase equilibria of binary CO2 + n-alkane mixtures have been studied by an important number of authors, both experimentally and using different types of thermodynamic models. Modeling studies of the phase behavior of...

With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo...

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...

How do living systems sustain communication, identity, and resilience while remaining exposed to disorder and environmental perturbations? How do poly-genomic organisms integrate evolutionary history (including non-genet...

A neutrosophic distance measure using average functions is defined, and the metric axioms are verified by discussing its properties on a neutrosophic structure. Further, the similarity measure’s axioms are also derived...

Abstract Large language models are beginning to appear in civil engineering practice, yet their advice often reflects generalized narratives rather than local evidence. This perspective introduces a governance audit fram...

Moving towards a sustainable future, optimising energy systems and resources involves increasingly sophisticated decision-making processes that require balancing technical efficiency with societal, economic and environme...

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: ...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Telemedicine is increasingly playing a vital role in European health systems, offering great potential for improving healthcare access and outcomes. Funded between September 2022 and December 2024, the Joint Action ‘St...

Healthcare systems operating under emergency and high-demand conditions face persistent challenges in coordinating medical personnel, managing critical documentation, and ensuring data security and regulatory compliance....

Abstract In the era of intelligent systems and data-driven technologies, making precise and reliable decisions under uncertainty has become increasingly vital. The primary aim of this study is to tackle decision making (...