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# Background Dry needling (DN) is commonly used to address pain and movement-related impairments, with the goal of improving range of motion, muscle performance, and functional movement. Despite its growing use, techniqu...

Abstract This study examines why 23 Muslim-majority countries supported China at the United Nations Human Rights Council (UN/HRC) in 2019, despite allegations of human rights abuses against the Uyghurs in Xinjiang. Using...

Advances in Artificial Intelligence (AI), particularly through Machine Learning (ML) and Deep Learning (DL), have enabled innovative solutions in industries including automotive, healthcare, and transportation. These tec...

The use of timelines is well-established in qualitative research and has been employed across a range of studies. However, the development of timelines (timelining) during interviews on shared decision making (SDM) remai...

IntroductionLarge language models (LLMs) may support clinical reasoning, yet real-world outpatient studies integrating structured clinical data with chest radiographs (CXRs) remain limited. We compared three LLMs for pul...

Timely prediction of Intensive Care Unit (ICU) admission at hospital arrival is critical for clinical decision-making, resource allocation, and patient management, particularly during large-scale health crises such as th...

Water-scarce smallholder regions require irrigation strategies that are both biophysically credible and socially legitimate. We propose an integrated hydro-economic decision-support framework for the Cesar Department (Co...

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...

BackgroundThe integration of artificial intelligence (AI) into emergency medicine holds promise for enhancing early diagnosis and clinical decision-making. Traditional diagnostic approaches often rely on physician judgme...

Abstract Background Thalassemia is the most prevalent single-gene disorder in Sri Lanka, imposing a significant socioeconomic and healthcare burden. Early carrier detection is essential for genetic counselling and the pr...

Background: Accurate risk/outcome prediction, in which molecular signatures (MS) are playing an increasingly important role, is crucial for personalized therapy. Patients require an accurate diagnosis and an appropriate ...

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...

Food products are an essential source of human life, so they have a very important place, and it will be important to monitor and determine their quality in a short time. Our study deals with a very important and indispe...

Los requerimientos para capturar información sobre la forma del cuerpo humano están creciendo rápidamente y no solo se limitan a estudios ergonómicos o diseño, sino que también resultan de interés para aplicacione...

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,...

In conditions of rapid change, the strategic stability of agricultural enterprises and the ability to innovate are key factors in ensuring regional economic stability and food security. The purpose of the article is to s...

The application of Artificial Intelligence (AI) in project management is transforming decision-making processes, enhancing task execution, and improving risk management. This study aimed to elucidate the challenges raise...

Abstract Air pollution is a major environmental and public health challenge in Greater Cairo due to rapid urbanization, intense traffic activity, and recurrent regional dust intrusions. This study presents a data driven ...

Abstract Objective Machine learning-based approaches were applied to explore prognostic risk factors for patients with tuberculous meningitis (TBM) and develop a risk prediction model for their 1-year post-treatment poor...

Abstract The accurate prediction of the deterioration of Continuously Reinforced Concrete Pavement (CRCP) is essential for the effective management of pavements and the maintenance of infrastructure. In this study, a co...

Abstract Background In intensive care units, critically ill patients often require life-sustaining interventions. When these no longer benefit the patient, care is often transferred to end-of-life care. Family members ma...

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: ...

Rapid urbanization and increasing energy demand have intensified environmental pressures, particularly in the transportation sector, which remains one of the largest contributors to greenhouse gas emissions. Although ele...

Orientation: Despite a progressive constitutional and legislative framework promoting gender equality, South Africa continues to face structural, cultural, and organisational barriers that limit women’s advancement in...