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Global food supply chains continue to expand in scale and complexity, heightening risks of fraud, mislabeling, and cross-contamination across certification systems. These vulnerabilities are particularly consequential fo...

ABSTRACT Background and Aims Clinical laboratory test results play a fundamental role in clinical decision making, influencing approximately 70% of medical decisions. Numerous studies have shown that errors can occur thr...

Abstract The Internet of Things (IoT) and emerging technologies have converged to drive the remarkable development of intelligent systems. The interconnection of physical objects, sensors, and tiny communication devices ...

Abstract Lumbar spine disorders represent a significant public health concern, with accurate diagnosis relying on vertebral segmentation and quantification. Traditional methods, such as Cobb angle measurement are constra...

The paper focuses on the analysis of meat consumption patterns and the level and structure of consumption of individual types of meat, on segmenting consumers according to consumption patterns and determining the key fac...

In the context of the digital transformation of science and education, the widespread adoption of generative artificial intelligence models functions both as a useful software solution that optimizes routine processes an...

BackgroundOccupational health places often involve complex dust samples characterized by diverse compositions and a lack of prior supplementary information. These factors pose challengs in ascertaining crystal phase comp...

Abstract Long-range dependency processing is the core challenge of sequence modeling, and traditional sequence modeling algorithms suffer from information decay and low parallel computing efficiency in ultra long sequenc...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

The rapid development of information technology has significantly transformed administrative practices within government institutions, encouraging the transition from conventional manual systems to integrated digital pla...

Abstract Precise extraction of medical phenotypes and entities from electronic health record (EHR) text is vital for numerous clinical research tasks, including cohort classification, tracking temporal patterns in diseas...

Abstract Quantitative analysis of fluorescence microscopy images remains a significant challenge in cytopathological assessments, as subjective interpretation and inter‐observer variability hinder reproducibility and s...

Abstract Skin diseases affect a considerable part of the world population, but it is not easy to diagnose these diseases on time because of the limited availability of dermatologists and the similarity of lesions. This r...

Event-based image processing represents an emerging research field within computer vision and is gaining increasing relevance in modern imaging technologies. In contrast to conventional frame-based approaches, neuromorph...

During 2020–2024, developing countries faced global financial turbulence caused by a cascade of exogenous shocks (COVID-19 pandemic, geopolitical crises, inflationary pressure), leading to a significant deterioration i...

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...

Abstract Background Super-enhancers are critical cis-regulatory elements that play a central role in modulating gene expression and driving cellular identity. Their dysregulation is closely associated with the developmen...

The article substantiates the need to modernize customs statistics of Ukraine as a key tool for forming foreign economic policy and ensuring international comparability of data in the context of European integration. The...

Forest fires in the Amazon, particularly in protected areas, pose significant challenges related to CO _2 emissions and deforestation. This study aimed to evaluate fire foci and their driving factors in the Jamanxim Nati...

Purpose – This study aims to analyze the management of differentiated learning based on the functions of educational management in elementary schools. Methodology – This research used a qualitative case study approa...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...

Relevance. Fundamentally new infrastructure and production solutions implemented in the Arctic macroregion can subsequently be scaled both in the subarctic regions and in the country as a whole, which determines the impo...

In the context of global changes and the complexity of socio-economic systems, making management decisions is becoming an increasingly challenging process. Digital transformation, which has become a key goal for the deve...