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Evaluating machine learning algorithms for prediction of treatment response for sleep disturbances in patients with schizophrenia: A post-hoc analysis from a randomized controlled trial
CONCLUSIONS: Machine learning models are an emerging trend in clinical research and should be translated into clinical practice. The logistic regression model predicted responders with 90% accuracy. →
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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
«`html OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs Understanding the Target Audience The target audience for OThink-R1 includes AI researchers, data scientists, and business managers focused on optimizing large language models (LLMs). Their pain points involve high computational costs and inefficiencies in existing models that rely on static reasoning patterns. Their… →
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Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDev
«`html Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDev In this tutorial, we introduce TinyDev class implementation, a minimal yet powerful AI code generation tool that utilizes the Gemini API to transform simple app ideas into comprehensive, structured applications. Designed to run effortlessly in Notebook, TinyDev follows a clean three-phase… →
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AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%
«`html AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95% Understanding the Target Audience The target audience for the AI-generated ad comprises marketing professionals, business executives, and creatives interested in the intersection of AI technology and advertising. Their pain points include high production costs, lengthy timelines for ad creation,… →
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Microsoft AI Introduces Code Researcher: A Deep Research Agent for Large Systems Code and Commit History
Microsoft AI Introduces Code Researcher: A Deep Research Agent for Large Systems Code and Commit History The target audience for the introduction of Microsoft’s Code Researcher primarily consists of software developers, system architects, and IT managers involved in large-scale software projects. These professionals often face challenges in debugging complex systems, particularly those with extensive codebases… →
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How Your Business Can Adapt to Tariffs—and Come Out Ahead
The Covid-19 pandemic was a shock to the global supply chain with little precedent. While companies eventually adapted to the new normal, some issues for manufacturers and retailers lingered for years. Now, many of those same firms are facing another seismic supply-chain test that may have profound effects on the ways they source materials and… →
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Estimating pain visual analogue scale from health assessment questionnaire for rheumatoid arthritis with beta mixture models
To map from the health assessment questionnaire disability index (HAQ) to the pain visual analogue scale (VAS) for people with rheumatoid arthritis. The estimation sample comprised adults with rheumatoid arthritis and inadequate response to tumour necrosis factor-α inhibitors in a multicentre phase 4 randomised controlled trial. Beta mixture models were estimated with combinations of HAQ… →
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Therapeutic effects of curcumin and piperine combination in critically ill patients with sepsis: a randomized double-blind controlled trial
CONCLUSION: Curcumin-piperine supplementation over a short period had beneficial effects on some inflammatory and laboratory indices in critically ill patients with sepsis. →
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Interleukin-1β in circulating mononuclear cells predicts steatotic liver disease improvement after weight loss in subjects with obesity and prediabetes or type 2 diabetes
CONCLUSION: In patients with obesity with initial impairment of glucose metabolism successful weight loss is associated with a reduction of both IL-1β levels and MASLD degree. Of interest, basal levels of IL-1β predict the extent of MASLD improvement, regardless of the intervention. Our results may set the stage for ad-hoc studies investigating the usefulness of… →
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Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs The target audience for this research includes AI researchers, data scientists, business managers, and decision-makers in technology firms. Their primary pain points revolve around the limitations of human supervision in training language models (LMs), particularly in complex tasks where human feedback can be unreliable.… →