-
Low-calorie diets and remission of type 2 diabetes in Chinese: phenotypic changes and individual variability
CONCLUSIONS: T2D remission rate and weight loss amount following low-calorie diet intervention in Chinese people were comparable to those reported from other populations, although individual variability existed. LCFD and LCRFD were similarly effective. →
-
Effective dose of ciprofol combined with low-dose sufentanil for sedation of gastroscopy: a dose-finding study using a biased coin design
CONCLUSION: The 90% effective dose of ciprofol combined with 5 µg of sufentanil for sedation during gastroscopy was determined to be 0.367 (95% CI: 0.344-0.416) mg/kg. Within the dose range of 0.3-0.45 mg/kg, ciprofol reduced the mean arterial pressure and heart rate in patients, but these effects were not dose-dependent. →
-
Effects of diltiazem and metoprolol on levels of high-sensitivity troponin I in patients with permanent atrial fibrillation: a randomized trial
CONCLUSIONS: In patients with permanent AF, six months of rate control therapy with diltiazem or metoprolol lowered levels of hs-TnI. Further research is warranted to determine whether this reduction translates into an improved prognosis. →
-
There is no reliable evidence that providing authors with customized article templates including items from reporting guidelines improves completeness of reporting: the GoodReports randomized trial (GRReaT)
CONCLUSION: As the dropout rate was higher than expected, we did not reach the recruitment target, and the difference between groups was not statistically significant. We therefore found no evidence that providing authors with customized article templates including items from reporting guidelines, increases reporting completeness. We discuss the challenges faced when conducting the trial and… →
-
A Code Implementation to Build an AI-Powered PDF Interaction System in Google Colab Using Gemini Flash 1.5, PyMuPDF, and Google Generative AI API
In this tutorial, we demonstrate how to build an AI-powered PDF interaction system in Google Colab using Gemini Flash 1.5, PyMuPDF, and the Google Generative AI API. By leveraging these tools, we can seamlessly upload a PDF, extract its text, and interactively ask questions, receiving intelligent responses from Google’s latest Gemini Flash 1.5 model. Copy… →
-
SYMBOLIC-MOE: Mixture-of-Experts MoE Framework for Adaptive Instance-Level Mixing of Pre-Trained LLM Experts
Like humans, large language models (LLMs) often have differing skills and strengths derived from differences in their architectures and training regimens. However, they struggle to combine specialized expertise across different domains, limiting their problem-solving capabilities compared to humans. Specialized models like MetaMath, WizardMath, and QwenMath excel at mathematical reasoning but often underperform on tasks requiring… →
-
Meet PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities across various domains, propelling their evolution into multi-modal agents for human assistance. GUI automation agents for PCs face particularly daunting challenges compared to smartphone counterparts. PC environments present significantly more complex interactive elements with dense, diverse icons and widgets often lacking textual labels, leading to perception… →
-
Researchers from the University of Cambridge and Monash University Introduce ReasonGraph: A Web-based Platform to Visualize and Analyze LLM Reasoning Processes
Reasoning capabilities have become essential for LLMs, but analyzing these complex processes poses a significant challenge. While LLMs can generate detailed text reasoning output, the lack of process visualization creates barriers to understanding, evaluating, and improving. This limitation manifests in three critical ways: increased cognitive load for users attempting to parse complex reasoning paths; difficulty… →
-
Meet Attentive Reasoning Queries (ARQs): A Structured Approach to Enhancing Large Language Model Instruction Adherence, Decision-Making Accuracy, and Hallucination Prevention in AI-Driven Conversational Systems
Large Language Models (LLMs) have become crucial in customer support, automated content creation, and data retrieval. However, their effectiveness is often hindered by their inability to follow detailed instructions during multiple interactions consistently. This issue is particularly critical in high-stakes environments, such as financial services and customer support systems, where strict adherence to guidelines is… →
-
Как новый формат взаимодействия пользователей может превратить продукт в стандарт?
Как новый формат взаимодействия пользователей может превратить продукт в стандарт? В условиях стремительных изменений на технологическом рынке и эволюции пользовательских ожиданий, инновационные подходы к взаимодействию с пользователями становятся ключевым фактором превращения продукта в отраслевой стандарт. В этой статье мы рассмотрим, как современные продуктовые стратегии, основанные на проверенных методологиях и фреймворках, таких как Design Thinking, Lean… →
