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Effects of scalable, wordless, short, animated storytelling videos on hope in China: a nationwide, single-blind, parallel-group, randomised controlled trial
CONCLUSIONS: While the short, single-exposure SAS videos did not significantly enhance overall hope levels among Chinese adults, the effectiveness of humour in certain subgroups highlights the cultural adaptability of health communication strategies. Given its scalability and accessibility, this approach warrants further research to refine narrative techniques, optimise engagement across diverse populations, and explore its broader… →
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Cuff leak test and airway obstruction in mechanically ventilated ICU patients (COSMIC): a pilot feasibility randomized controlled trial protocol
INTRODUCTION: The cuff leak test (CLT) is hypothesised to help optimise extubation by assessing for laryngeal oedema which, if unrecognised and untreated, could lead to post-extubation stridor, post-extubation airway obstruction, and reintubation. However, the diagnostic accuracy of the CLT to detect post-extubation stridor (and hence potentially airway obstruction) remains uncertain. Given the equipoise that exists… →
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Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text
«`html Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information (PII) in Text In this tutorial, we will explore how to use Microsoft’s Presidio, an open-source framework designed for detecting, analyzing, and anonymizing personally identifiable information (PII) in free-form text. Built on top of the efficient spaCy NLP library,… →
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Build a Groundedness Verification Tool Using Upstage API and LangChain
Build a Groundedness Verification Tool Using Upstage API and LangChain Understanding the Target Audience The primary audience for this tutorial includes AI developers, data scientists, and business managers interested in ensuring the reliability of AI-generated content. Their pain points often revolve around the accuracy of AI outputs and the need for trustworthy information in decision-making… →
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Moonshot AI Unveils Kimi-Researcher: An Reinforcement Learning RL-Trained Agent for Complex Reasoning and Web-Scale Search
Moonshot AI Unveils Kimi-Researcher: A Reinforcement Learning RL-Trained Agent for Complex Reasoning and Web-Scale Search Understanding the Target Audience The target audience for the Kimi-Researcher announcement includes business leaders, AI researchers, technology strategists, and decision-makers in industries leveraging AI for operational efficiency. These individuals are keen on understanding the capabilities and applications of advanced AI… →
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CMU Researchers Introduce Go-Browse: A Graph-Based Framework for Scalable Web Agent Training
CMU Researchers Introduce Go-Browse: A Graph-Based Framework for Scalable Web Agent Training Understanding the Target Audience The primary audience for this research includes AI practitioners, business analysts, and decision-makers in technology firms, particularly those focused on automation and web technologies. Their pain points revolve around the limitations of existing digital agents in navigating complex web… →
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When Wait and See Is Smart Strategy
Carolyn Geason-Beissel/MIT SMR | Getty Images Are we wisely waiting or merely drifting? That’s a question many corporate leaders will be asking themselves in the coming weeks and months. Uncertainty is not a new concept. But today’s political uncertainty — epitomized by the U.S. tariff edicts and global responses to them, ranging from threats to… →
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A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication
«`html A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication This tutorial provides a comprehensive guide for developers looking to create a robust, production-ready Python SDK. It covers the installation and configuration of essential asynchronous HTTP libraries, namely aiohttp and nest-asyncio, and walks through the implementation of… →
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Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning
Sakana AI Introduces Reinforcement-Learned Teachers (RLTs): Efficiently Distilling Reasoning in LLMs Using Small-Scale Reinforcement Learning Sakana AI has introduced a new framework for enhancing reasoning in language models (LLMs) called Reinforcement-Learned Teachers (RLTs). This approach focuses on efficiency and reusability, addressing significant challenges in traditional reinforcement learning (RL) methods. Understanding the Target Audience The primary… →