CONCLUSION: Presepsin may be a usable indicator in predicting the level of inflammation. At the end of the one-year follow-up of pulpotomy treatment, more pathology was observed in the NeoMTA and Biodentine groups, where biomarker levels were higher, while no pathology was found in the MTA group, where biomarker levels were lower. →
CONCLUSIONS: The intense simplified strategy using subsequent oral therapies post-SIIT, especially the linagliptin plus metformin combination, sustainably improved glycaemic control and β cell function in patients with newly diagnosed type 2 diabetes mellitus and severe hyperglycaemia. This approach offers a promising direction for decision making in the clinical management of type 2 diabetes mellitus. →
Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance of quantum computers has been a challenging task due to their sensitivity to noise, the complexity of quantum algorithms, and the limited availability of powerful quantum hardware. Decoherence and… →
Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. However, they typically respond without engaging in internal thought processes that could help improve the accuracy… →
Despite the vast accumulation of genomic data, the RNA regulatory code must still be better understood. Genomic foundation models, pre-trained on large datasets, can adapt RNA representations for biological prediction tasks. However, current models rely on training strategies like masked language modeling and next token prediction, borrowed from domains such as text and vision, which… →
Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. Even with all of the research and applications that LLMs have seen in this field, there is still a gap in knowledge of their actual capabilities. A portion… →
The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation. This results in high energy consumption and substantial inference time, limiting their scalability and use… →
The increasing reliance on machine learning models for processing human language comes with several hurdles, such as accurately understanding complex sentences, segmenting content into comprehensible parts, and capturing the contextual nuances present in multiple domains. In this landscape, the demand for models capable of breaking down intricate pieces of text into manageable, proposition-level components has… →
Background There is variable evidence and no randomized trials on the benefit of US elastography-guided fine-needle aspiration cytology (FNAC) over conventional US-guided FNAC alone for thyroid nodules. Purpose To compare the efficacy of US elastography-guided FNAC versus US-guided FNAC in reducing nondiagnostic rates for thyroid nodules. Materials and Methods A pragmatic, multicenter randomized controlled trial… →
CONCLUSIONS: BA primarily based on telephone or WeChat can not only directly ameliorates psychological distress and anxiety symptoms in patients with esophageal cancer and gastric cancer but also indirectly alleviates psychological distress by enhancing self-efficacy. The study also demonstrates the potential of BA in cancer patients, a skill that can be effectively acquired by primary… →