Social network generation finds numerous applications in various fields, such as epidemic modeling, social media simulations, and understanding social phenomena like polarization. Creating realistic social networks is crucial when real networks cannot be directly observed due to privacy concerns or other constraints. These generated networks are vital for accurately modeling interactions and predicting outcomes in… →
Large language models (LLMs) have significantly progressed in various domains, including natural language understanding and code generation. These models can generate coherent text and solve complex tasks. However, LLMs face challenges when applied to more specialized areas such as competitive programming and code generation. This field focuses on improving the models’ ability to generate diverse,… →
CONCLUSION: Many care home residents live with pain, anxiety and depression. Addressing residents’ pain may also increase their quality of life, but using medication alone to reach this goal may be inadequate. →
Graph neural networks (GNNs) have emerged as powerful tools for capturing complex interactions in real-world entities and finding applications across various business domains. These networks excel at generating effective graph entity embeddings by encoding both node features and structural insights, making them invaluable for numerous downstream tasks. GNNs have succeeded in node-level financial fraud detection,… →
Artificial intelligence (AI) and database management systems have increasingly converged, with significant potential to improve how users interact with large datasets. Recent advancements aim to allow users to pose natural language questions directly to databases and retrieve detailed, complex answers. However, current tools are limited in addressing real-world demands. Traditional AI models, such as language… →
CONCLUSION: The results of this study support the beneficial effects of an exercise re-education programme, carried out by an interdisciplinary team in improving the autonomy of oncology patients with dyspnoea. →
BACKGROUND: Although natural rubber latex remains dominant as the primary manufacturing material for male condoms synthetic materials first introduced in the early 1990s address many of the limitations of latex including the risk of allergies. Polyurethane elastomers allow condoms to be made significantly thinner to provide greater sensitivity and encourage greater use of condoms for… →
Mixture-of-experts (MoE) architectures are becoming significant in the rapidly developing field of Artificial Intelligence (AI), allowing for the creation of systems that are more effective, scalable, and adaptable. MoE optimizes computing power and resource utilization by employing a system of specialized sub-models, or experts, that are selectively activated based on the input data. Because of… →
Large language models (LLMs) have become fundamental tools for tasks such as question-answering (QA) and text summarization. These models excel at processing long and complex texts, with capacities reaching over 100,000 tokens. As LLMs are popular for handling large-context tasks, ensuring their reliability and accuracy becomes more pressing. Users rely on LLMs to sift through… →
Graph Neural Networks (GNNs) have emerged as the leading approach for graph learning tasks across various domains, including recommender systems, social networks, and bioinformatics. However, GNNs have shown vulnerability to adversarial attacks, particularly structural attacks that modify graph edges. These attacks pose significant challenges in scenarios where attackers have limited access to entity relationships. Despite… →