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Application of colonoscopic auxiliary devices in reducing the polyp miss rate: a prospective randomized controlled study
CONCLUSION: The use of auxiliary devices in colonoscopy significantly improves the PDR, espicialy no-adnoma or smaller polyp, and reduces treatment times compared to standard colonoscopy. →
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A Randomized Clinical Trial Evaluating Plaque and Gingivitis Effects of an Entry-Tier Oscillating-Rotating Electric Toothbrush
Purpose The purpose of this study was to evaluate plaque and gingivitis reduction efficacy of an entry-tier oscillating-rotating (OR) electric toothbrush, used in two brushing modes (Daily Clean and Sensitive), as compared to a manual toothbrush.Methods This was a three-treatment, three-period crossover study, assessing plaque with the Rustogi Modification of the Navy Plaque Index after… →
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Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access
Delinea Released an MCP Server to Put Guardrails Around AI Agents Credential Access Understanding the Target Audience The primary audience for this release includes IT security professionals, enterprise architects, and decision-makers within organizations that utilize AI agents for operational functions. This audience is typically concerned with: Ensuring secure credential management Compliance with regulatory standards Mitigating… →
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DeepSeek V3.2-Exp Cuts Long-Context Costs with DeepSeek Sparse Attention (DSA) While Maintaining Benchmark Parity
«`html DeepSeek V3.2-Exp Cuts Long-Context Costs with DeepSeek Sparse Attention (DSA) While Maintaining Benchmark Parity Understanding the Target Audience The primary audience for DeepSeek V3.2-Exp includes AI developers, data scientists, and business managers who are focused on enhancing the efficiency of large language models (LLMs) in enterprise applications. Their pain points often revolve around high… →
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A Coding Guide to Build a Hierarchical Supervisor Agent Framework with CrewAI and Google Gemini for Coordinated Multi-Agent Workflows
«`html A Coding Guide to Build a Hierarchical Supervisor Agent Framework with CrewAI and Google Gemini for Coordinated Multi-Agent Workflows In this tutorial, we walk you through the design and implementation of an advanced Supervisor Agent Framework using CrewAI with the Google Gemini model. We set up specialized agents, including researchers, analysts, writers, and reviewers,… →
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Experimental partial-night sleep restriction increases pain sensitivity, but does not alter inflammatory plasma biomarkers
CONCLUSIONS: The present findings indicate that heat and cold pressor pain were rated higher following SR, whereas pain thresholds remained unchanged. We did not find an effect of SR on biomarkers of inflammation. The findings should be cautiously interpreted given the poor adherence to the SR condition. →
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The Burnout Age: Real Pain Requires Real Solutions
Carolyn Geason-Beissel/MIT SMR | Getty Images The pressure to “do more with less” is wearing people out. Burnout affects at least half of us: In a 2024 survey of 1,500 full-time employees of U.S. companies, 51% said they’d suffered burnout in the past year. Nearly two-thirds cited mental and emotional stress as the top cause.… →
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Efficacy and safety of vunakizumab in patients with moderate-to-severe plaque psoriasis across different regions of China: a post-hoc exploratory analysis of a phase III, randomized controlled trial
CONCLUSION: The efficacy and safety of vunakizumab are not affected by different regions of China in patients with moderate-to-severe plaque psoriasis. →
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Anthropic Launches Claude Sonnet 4.5 with New Coding and Agentic State-of-the-Art Results
Anthropic Launches Claude Sonnet 4.5 with New Coding and Agentic State-of-the-Art Results Anthropic has released Claude Sonnet 4.5, setting a new benchmark for end-to-end software engineering and real-world computer use. This update includes significant product enhancements such as Claude Code checkpoints, a native VS Code extension, API memory/context tools, and an Agent SDK that replicates… →
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Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required
«`html Meet oLLM: A Lightweight Python Library for 100K-Context LLM Inference on Consumer GPUs Understanding the Target Audience The target audience for oLLM includes data scientists, machine learning engineers, and AI researchers who are looking for efficient ways to run large-context language models on consumer-grade hardware. Their pain points include: Limited GPU memory (8 GB)… →