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A randomized trial to evaluate the impact of breast density notification on anxiety, breast cancer worry, and perceived risk among Latinas at a federally qualified health center : Breast density notification and anxiety, breast cancer worry, and perceived risk among Latinas
CONCLUSION: This Latina cohort had high levels of anxiety and BC worry which persisted regardless of intervention received. Future work is needed to improve our understanding of factors that could lower anxiety and BC worry and improve BC risk perception in this population. →
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Evaluating the impact of various predictors on rapid maxillary expansion (RME) success
CONCLUSIONS: Patients with a higher stage of MSM and CVM had a greater risk of RME failure. Additionally, patients with a lower density ratio and shorter palate length had a better prognosis for conventional RME. →
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Effect of intermediate airway management on ventilation parameters in simulated paediatric out-of-hospital cardiac arrest: a multicentre randomised crossover trial
CONCLUSION: In a simulated paediatric out-of-hospital cardiac arrest model, immediate use of intermediate airway management did not show relevant differences compared to bag-valve-mask. Intermediate airway management devices cannot be recommended as first-line choice but may be considered when bag-valve-mask is challenging. Whichever device is used, the focus should remain on providing high-quality ventilations. →
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NVIDIA AI Introduces Fast-dLLM: A Training-Free Framework That Brings KV Caching and Parallel Decoding to Diffusion LLMs
NVIDIA AI Introduces Fast-dLLM: A Training-Free Framework That Brings KV Caching and Parallel Decoding to Diffusion LLMs Diffusion-based large language models (LLMs) are gaining traction as a viable alternative to traditional autoregressive models, owing to their potential for simultaneous multi-token generation. By employing bidirectional attention mechanisms, these models seek to enhance decoding speeds, theoretically offering… →
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Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language Models
Off-Policy Reinforcement Learning with KL Divergence Yields Superior Reasoning in Large Language Models Policy gradient methods have significantly advanced the reasoning capabilities of large language models (LLMs), particularly through reinforcement learning (RL). A key tool in stabilizing these methods is Kullback-Leibler (KL) regularization, which discourages drastic changes between the current policy and the reference policy.… →
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The Upside of Recruiting Your Rivals
Ever heard of the Rising Pune Supergiants or the Gujarat Lions? Probably not, if you don’t live in India or follow cricket. They’re both former teams in the Indian Premier League (IPL). Brian Uzzi first heard of the teams through Satyam Mukherjee, who worked in Uzzi’s lab as a post-doctoral researcher and is now at… →
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No Credit History? No Problem.
Cigarettes, canned fish, and mortadella raise red flags. But beans, milk, and vinegar salad dressing suggest fiscal responsibility. Those are the findings of a proof-of-concept paper “where we demonstrated that people’s shopping behavior in grocery stores correlated with their repayment of credit-card bills,” says Eric Anderson, a professor of marketing at the Kellogg School, who… →
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The AI Tidal Wave Doesn’t Have to Drown Workers
It’s the question on everyone’s mind these days: Is artificial intelligence going to take my job? The effect of the latest generation of AI tools on the labor market still needs time to play out. But new research by Kellogg’s Bryan Seegmiller and Dimitris Papanikolaou hints at how this might unfold. The researchers, along with… →
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Depressive Personality Vulnerability and Adaptation to Breast Cancer: A Matter of Self-Criticism?
Dependency and self-criticism are two dimensions of personality vulnerability to depression, whereas efficacy is a dimension of personality resilience. The aim of this study was to examine the unique role of these personality dimensions in adaptation following a diagnosis of breast cancer, while controlling for the potentially confounding role of symptoms of depression and anxiety.… →
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A Coding Implementation of an Intelligent AI Assistant with Jina Search, LangChain, and Gemini for Real-Time Information Retrieval
«`html Build an Intelligent AI Assistant with Jina Search, LangChain, and Gemini In this tutorial, we will demonstrate how to create an intelligent AI assistant by integrating LangChain, Gemini 2.0 Flash, and Jina Search tools. By combining the capabilities of a large language model (LLM) with an external search API, we will develop an assistant… →