CONCLUSION: Elderly patients with MDS have poor tolerance to chemotherapy. Reducing azacitidine in the treatment of elderly MDS patients shows good efficacy and safety. →
BACKGROUND: Epilepsy and other seizure disorders account for a high disease burden in Germany. As a timely diagnosis and accurate treatment are crucial, improving the management of these disorders is important. Outside of Germany, outpatient long-term video EEGs (ALVEEGs) have demonstrated the potential to support the diagnosis and management of epilepsy and other seizure disorders.… →
CONCLUSION: The intervention was associated with significant reductions of antibiotic prescriptions and non-adherence, chiefly among patients with non-malaria fever, those with respiratory symptoms and children below 5 years of age. The addition of COVID-19 testing did not have a major impact on antibiotic use at primary health centers. →
Many modern applications, such as recommendation systems, image and video search, and natural language processing, rely on vector representations to capture semantic similarity or other relationships between data points. As datasets grow, traditional database systems need help handling vector data efficiently, leading to slow query performance and scalability issues. These limitations create the need for… →
Sarcasm detection is a critical challenge in natural language processing (NLP) because of sarcastic statements’ nuanced and often contradictory nature. Unlike straightforward language, sarcasm involves saying something that appears to convey one sentiment while implying the opposite. This subtle linguistic phenomenon is difficult to detect because it requires understanding beyond the literal meaning of words,… →
3D computer vision has gained immense traction recently due to its robotics, augmented reality, and virtual reality applications. These technologies demand an extensive amount of high-quality 3D data to function effectively. However, acquiring such data is inherently complex, requiring specialized equipment, expert knowledge, and significant time investments. Unlike 2D data, which is relatively easier to… →
Retrieval-augmented generation (RAG) has emerged as a prominent application in the field of natural language processing. This innovative approach involves breaking down large documents into smaller, manageable text chunks, typically limited to around 512 tokens. These bite-sized pieces of information are then stored in a vector database, with each chunk represented by a unique vector… →
Document ranking remains one of the most important issues in information retrieval & natural language processing development. Effective document retrieval and ranking are highly important in enhancing the performance of search engines, question-answering systems, and Retrieval-Augmented Generation (RAG) systems. Traditional ranking models often need help finding a good balance between the precision of results and… →