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Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

ABSTRACT Background and Aims Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), is transforming healthcare by enabling improved diagnosis, prognosis, and personalized treatments. How...

The National Formulary plays a critical role in promoting rational drug use and controlling healthcare costs within Indonesia’s National Health Insurance system. Ensuring compliance with formulary restrictions, includi...

Lobesia botrana is a quarantine pest from Argentina and other countries in the world. It causes damage to the vine in its different growth stages leading to losses in wine production. To develop pest control strategies b...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Este artículo presenta los resultados de la primera fase del proyecto TAFS (Transiciones Agroecológicas para Sistemas Alimentarios Sostenibles: argumentos a favor de las políticas públicas) coordinado por el Centro d...

Abstract This correspondence marks the 10-year milestone of InsulinAPP, a Brazilian-developed electronic glycemic management system (eGMS) designed to support inpatient insulin therapy. Initially published in 2015, Insul...

Abstract Large language models (LLMs) demonstrate strong reasoning and planning capabilities in static textual contexts, yet they struggle significantly with dynamic decision-making tasks involving spatial elements, such...

Accurate detection of pediatric fractures in radiographs remains challenging due to subtle visual cues and the high prevalence of false-positive detections produced by automated systems. To address this limitation, we pr...

Recent developments in sustainability policy and digital transformation have reshaped the operational environment of military logistics. European defense organizations increasingly rely on artificial intelligence to ...

Climate-smart agricultural (CSA) technologies are vital for enhancing the climate resilience of high-value, climate-sensitive crops like vanilla in Sub-Saharan Africa. While institutional support through agricultural ext...

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

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...

Artificial intelligence (AI) has emerged as a transformative force in modern ophthalmology, enabling rapid advances in disease detection, clinical decision support, workflow optimization, and tele-ophthalmology. Ophthalm...

Abstract Background Consumer advocacies emphasize embedding lived experience into palliative care provision. However, tokenistic consumer involvement often hinder meaningful consumer participation in decision-making proc...

IntroductionThe integration of tuberculosis (TB) preventive treatment (TPT) into HIV services through electronic health records (EHR) can improve outcomes by enhancing care coordination, reducing redundancies, and suppor...

Abstract Reliable interpretation of clinical imaging requires integrating complementary evidence across modalities, yet most AI systems remain limited by single-modality analysis and poor generalization across institutio...

The purpose of the article is to substantiate the role and determine the significance of controlling as an effective tool for managing entrepreneurial activities in the context of implementing the principles of corporate...

Abstract Quality defects in substandard medicines represent a threat to public health. Rapid and accurate identification of these defects is critical to prioritise the cases and implement regulatory measures. However, th...

Context and background Community Land Protection in Kenya gained traction with the enactment of the Community Land Act in 2016. The stakeholders, comprising state and non-state actors, have since made significant progr...

Abstract Background High-quality routine health information (RHI) is essential for evidence-based decision-making and healthcare quality improvement. However, existing studies in Ethiopia have reported low data quality, ...

Methane emissions and chemical pollutants often co-occur in natural and engineered environments, contributing to ecosystem degradation. Microorganisms play key roles in regulating these processes through methane oxidatio...

The aim of this study was to clarify the current situation and challenges of community-based rehabilitation (CBR) in depopulated areas from the perspective of physicians and to develop a model suited to such contexts. Se...

Abstract Hybrid Brain–Computer Interface (BCI) systems that combine electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) achieve higher classification accuracy but face computational bottlenec...