AI agents have become an integral part of modern industries, automating tasks and simulating complex systems. Despite their potential, managing multiple AI agents, especially those with diverse roles, can be challenging. Developers often face issues such as inefficient communication protocols, difficulties in maintaining agent states, and limited scalability in large-scale setups. Additionally, generating synthetic data… →
Graph Neural Networks GNNs have become a powerful tool for analyzing graph-structured data, with applications ranging from social networks and recommendation systems to bioinformatics and drug discovery. Despite their effectiveness, GNNs face challenges like poor generalization, interpretability issues, oversmoothing, and sensitivity to noise. Noisy or irrelevant node features can propagate through the network, negatively impacting… →
Background: Coronary angiography, an invasive diagnostic procedure, often induces pain and anxiety in patients. Despite the potential for alleviating discomfort, the use of stress balls as a nonpharmacological intervention during angiography remains underexplored. Objective: This study is aimed at investigating the impact of stress ball application on pain and anxiety levels in patients undergoing angiography.… →
Objective: To observe the effects of cardiac rehabilitation guided by cardiopulmonary exercise testing (CPET) on cardiorespiratory reserve function, blood pressure, blood pressure variability, and lipid metabolism in patients with hypertension. Methods: A randomized trial enrolled 67 Grade 1 hypertensive patients on antihypertensive drugs, divided into conventional (n = 35) and CPET (n = 32) groups.… →
Recommendation systems are essential for connecting users with relevant content, products, or services. Dense retrieval methods have been a mainstay in this field, utilizing sequence modeling to compute item and user representations. However, these methods demand substantial computational resources and storage, as they require embeddings for every item. As datasets grow, these requirements become increasingly… →
In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for aspiring AI enthusiasts and professionals. AI agents, with their ability to perform complex tasks autonomously, are at the forefront of this revolution. Here, we highlight 13 free courses that delve into the intricacies of AI… →
BACKGROUND: Inflammation is increasingly recognised as a treatment target in hand osteoarthritis, and therefore correct measurement of local inflammation is essential. This study aimed to assess ultrasound scoring of synovitis and the additional value of the Global OMERACT/EULAR Ultrasound Synovitis Score (GLOESS) in hand osteoarthritis. →
CONCLUSION: Newly diagnosed RA patients have enhanced coagulation activation and impaired fibrinolysis as demonstrated by our results. Effective antirheumatic treatments during the first 24 weeks after diagnosis improved this haemostatic imbalance, with prominent effects of biological drugs and especially tocilizumab, compared with conventional treatment. →
To examine the impact of an educational approach incorporating behavioral modification and the Health Belief Model on the adherence to skin moisturizing care, itch severity, self-efficacy, and quality of life among individuals diagnosed with psoriasis vulgaris. A study involving 108 psoriasis vulgaris patients (November 2022-October 2023) utilized random allocation to form experimental and control groups.… →
Urinary biomarker studies in cardiothoracic and kidney-sparing surgery have demonstrated renal protection by Remote Ischaemic PreConditioning (RIPC). RIPC intervention generates cycles of ischaemia and reperfusion of the limbs before the actual ischaemia of the target organ (e.g. kidney) is initiated. This explorative trial aims to investigate whether Blood Oxygenation Level Dependent-MRI (BOLD-MRI) can be a… →