CONCLUSIONS: Compared to oral health education alone, a comprehensive intervention combining FV application with oral health education is more cost-effective and beneficial for preventing caries in the FPMs of children living in economically disadvantaged rural areas. These findings could provide a basis for policy-making and clinical choices to improve children’s oral health. →
BACKGROUND: Obsessive-compulsive disorder (OCD) imposes significant burdens on individuals, families, and healthcare systems and the COVID-19 pandemic appears to have exacerbated OCD symptoms. Currently, there are no validated prevention programs for OCD, highlighting a critical gap in mental health services. This study aims to develop and validate the first ØCD prevention program, for at-risk adults,… →
ChatGPT – GPT-4 GPT-4 is the latest LLM of OpenAI, which is more inventive, accurate, and safer than its predecessors. It also has multimodal capabilities, i.e., it is also able to process images, PDFs, CSVs, etc. With the introduction of the Code Interpreter, GPT-4 can now run its own code to avoid hallucinations and provide… →
Everything is online in the 21st century; almost everyone has a website or interacts with one daily. It is a necessity; hence, the websites use cookies and claim to improve the visitors’ browsing experience. However, we used the word claim to improve your browsing experience because some websites track the user’s IP address and geolocation… →
CONCLUSIONS: Both the TTM and pillbox organizers were shown to be effective in enhancing medication adherence among patients with HF. Therefore, healthcare providers should take into account the patient’s condition and preferences when selecting one of these methods to promote medication adherence. Future research should aim to address the limitations of this study, such as… →
CONCLUSIONS: Denervation of the medial branch nerve by either cryoneurolysis or RF compared with placebo did not demonstrate significant improvement in PGIC, pain intensity, function and quality of life in patients with facetogenic chronic LBP at short-term or long-term follow-up. →
The discipline of computational mathematics continuously seeks methods to bolster the reasoning capabilities of large language models (LLMs). These models play a pivotal role in diverse applications ranging from data analysis to artificial intelligence, where precision in mathematical problem-solving is crucial. Enhancing these models’ ability to handle complex calculations and reasoning autonomously is paramount to… →
Integrating visual and textual data in artificial intelligence forms a crucial nexus for developing systems like human perception. As AI continues to evolve, seamlessly combining these data types is advantageous and essential for creating more intuitive and effective technologies. The primary challenge confronting this sector is the need for models to efficiently and accurately process… →
Despite their significant contributions to deep learning, LSTMs have limitations, notably in revising stored information. For instance, when faced with the Nearest Neighbor Search problem, where a sequence needs to find the most similar vector, LSTMs struggle to update stored values when encountering a closer match later in the sequence. This inability to revise storage… →
Cross-encoder (CE) models evaluate similarity by simultaneously encoding a query-item pair, outperforming the dot-product with embedding-based models at estimating query-item relevance. Current methods perform k-NN search with CE by approximating the CE similarity with a vector embedding space fit with dual-encoders (DE) or CUR matrix factorization. However, DE-based methods face challenges from poor recall because… →