Large Language Models (LLMs) have become a cornerstone of artificial intelligence, driving advancements in natural language processing and decision-making tasks. However, their extensive power demands, resulting from high computational overhead and frequent external memory access, significantly hinder their scalability and deployment, especially in energy-constrained environments such as edge devices. This escalates the cost of operation… →
Despite the transformative potential of large language models (LLMs), these models face significant challenges in generating contextually accurate responses faithful to the provided input. Ensuring factuality in LLM outputs is particularly critical in tasks requiring responses grounded in lengthy, complex documents, which form the basis for advancing their applications in research, education, and industry. One… →
BACKGROUND: While water, sanitation, and hygiene (WASH) interventions can reduce diarrheal disease, many large-scale trials have not found the expected health gains for young children in low-resource settings. Evidence-based guidance is needed to improve interventions and remove barriers to diarrheal disease reduction. →
CONCLUSIONS AND RELEVANCE: This randomized clinical trial found a modest improvement in medication adherence among patients with CHF who received the pharmacist-led management intervention vs usual care. →
CONCLUSION: The application of the EMCS+BC scaffold demonstrates superior outcomes in pulp regeneration after six months, with a higher degree of healing observed compared to the NCS+BC and BC groups. There were no statistically significant differences at one month, three months, and twelve months. Additionally, tooth sensitivity was more pronounced in the EMCS+BC and NCS+BC… →
For education research, access to high-quality educational resources is critical for learners and educators. Often perceived as one of the most challenging subjects, mathematics requires clear explanations and well-structured resources to make learning more effective. However, creating and curating datasets focusing on mathematical education remains a formidable challenge. Many datasets for training machine learning models… →
Autoregressive protein language models (pLMs) have become transformative tools for designing functional proteins with remarkable diversity, demonstrating success in creating enzyme families like lysozymes and carbonic anhydrases. These models generate protein sequences by sampling from learned probability distributions, uncovering intrinsic patterns within training datasets. Despite their ability to explore high-quality subspaces of the sequence landscape,… →
CONCLUSION: A five-year follow-up in this study demonstrated better clinical outcome for SRSD with or without CS compared to SRFD technique, irrespective of age, pre-op sensitivity, cavity type, radiographic depth and activity of the caries. Application of CS after SRSD in deeper cavities provided better healing in terms of dentin bridge formation. →
CONCLUSIONS: The results of this study indicate that multimodal therapy not only exhibits significant effectiveness in the management of allergic rhinitis but also holds potential advantages in improving patients’ quality of life. These findings provide a new perspective for the treatment of AR and may have significant implications for the design and optimization of future… →
CONCLUSION: The use of TENS, as an adjunctive treatment to physiotherapy, leads to an improvement in pain control and spirometry values in patients after thoracic surgery, without producing side effects with the technique. These findings provide physiological evidence for the use of TENS in post-pulmonary surgery and may form the basis for the development of… →