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A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph
«`html A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph Understanding the Target Audience The target audience for this guide includes software developers, data scientists, and AI researchers interested in integrating symbolic logic with generative AI. They may work in sectors such as technology, finance, and education, where… →
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Modified Target Delineation and Moderately Hypofractionated Radiotherapy for High-Grade Glioma: A Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, modified target delineation with HSIB-IMRT demonstrated comparable PFS and OS to standard IMRT in patients with newly diagnosed HGG, while significantly reducing the irradiation target volume without increasing the recurrence rates outside the target volume. These results suggest valuable insights for future research aimed at personalized, reduced… →
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GitHub Introduces Vibe Coding with Spark: Revolutionizing Intelligent App Development in a Flash
GitHub Introduces Vibe Coding with Spark: Revolutionizing Intelligent App Development in a Flash Understanding the Target Audience The target audience for GitHub Spark includes: Developers: Ranging from beginners to experienced professionals looking for efficient tools to streamline app development. Business Managers: Interested in reducing development time and costs, while enhancing team productivity. Technical Decision-Makers: Evaluating… →
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Effect of Ciprofol on Postoperative Delirium in Elderly Patients Undergoing Hip Surgery: A Randomized Controlled Trial
CONCLUSION: In this study, we found that ciprofol was associated with a lower incidence of POD and had a minimal impact on circulatory function. SIRT3 expression and POD were correlated. A serum SIRT3 level less than 1.565 ng/mL on postoperative day 1 may indicate a likelihood of POD, highlighting its potential diagnostic value. →
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Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study
CONCLUSIONS: While LLMs have the potential to enhance specific digital competencies in physical therapy students, their practical integration into the curriculum faces challenges. Future studies should focus on improving student engagement with LLMs and extending the training period to determine the feasibility of integrating this tool into physical therapy education and maximize benefits. →
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Prospective comparison of static versus dynamic images in abdominal ultrasound education — a randomised controlled trial
CONCLUSION: Dynamic images in ultrasound education improve comprehension of pathological findings over static images. These insights should inform the development and adaptation of future training programs and educational materials to enhance the quality of ultrasound education and diagnostic accuracy. →
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Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data
«`html Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data Introduction Wearable devices are transforming health monitoring by enabling continuous collection of physiological and behavioral signals such as heart rate, activity, temperature, and skin conductance. However, the data generated by these devices is often incomplete due to… →
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7 MCP Server Best Practices for Scalable AI Integrations in 2025
«`html 7 MCP Server Best Practices for Scalable AI Integrations in 2025 Model Context Protocol (MCP) servers have become essential for scalable, secure, and agentic application integrations. As organizations seek to expose their services to AI-driven workflows, it is crucial to maintain developer experience, performance, and security. Here are seven data-driven best practices for building,… →