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Clinical Efficacy of a Salicylic Acid-Containing Gel on Acne Management and Skin Barrier Function: A 21-Day Prospective Study
CONCLUSION: The salicylic acid-containing gel effectively reduces acne lesions, regulates sebum production, enhances skin hydration, and strengthens the skin barrier, making it a suitable option for acne-prone and sensitive skin. These findings suggest that the gel provides a well-balanced approach to acne treatment by addressing both clinical efficacy and user comfort. →
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Innovative nitric oxide delivery technology for postoperative pulmonary hypertension in congenital heart disease patients: a clinical trial
CONCLUSION: The ENG provided stable NO delivery, ensuring safety and efficacy in postoperative adult CHD-PAH patients. It was associated with improvements of hemodynamics and gas exchange without systemic side effects, offering a compact, efficient, and cost-effective alternative to traditional iNO delivery systems. This research was registered with the Clinical Trial Registry at http://www.chictr.org.cn , under… →
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Implementing exercise and self-management for women with breast cancer during treatment: results of the NEXT-BRCA randomized controlled trial
The purpose of this study was to determine the feasibility (recruitment, retention, and adherence rates) and effectiveness of institution-based exercise and self-management (SM) on physical activity (PA) level, exercise knowledge and intention, health status, functional capacity, patient engagement, and lower extremity strength for individuals with breast cancer receiving treatment. We conducted a hybrid implementation-effectiveness trial… →
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Effect of conditioned stimuli-triggered memory retrieval-extinction in patients with methamphetamine use disorder
Methamphetamine (METH) is a widely abused stimulant that affects the central nervous system. The persistent maladaptive conditioned stimuli (CS, drug cues)-drug associative memories represent a primary factor precipitating relapse. Interfering with the reconsolidation of these memories may help disrupt and modify these maladaptive CS-drug associations, potentially reducing their influence on drug-seeking behavior. The present study… →
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NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528
NVIDIA AI Releases OpenReasoning-Nemotron: A Suite of Reasoning-Enhanced LLMs Distilled from DeepSeek R1 0528 Understanding the Target Audience The target audience for NVIDIA’s OpenReasoning-Nemotron includes: Developers: Seeking efficient models for AI applications in reasoning tasks. Researchers: Interested in advancing AI capabilities in mathematics, science, and programming. Enterprises: Looking for commercially viable AI solutions that enhance… →
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Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence
«`html Maybe Physics-Based AI Is the Right Approach: Revisiting the Foundations of Intelligence Over the past decade, deep learning has transformed artificial intelligence, leading to significant advancements in image recognition, language modeling, and game playing. However, persistent limitations have emerged: data inefficiency, vulnerability to distribution shifts, high energy consumption, and a limited understanding of physical… →
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Building a Modern Async Configuration Management System with Type Safety and Hot Reloading
«`html Understanding the Target Audience The target audience for the tutorial on building a modern async configuration management system includes software developers, particularly those working with Python, DevOps engineers, and technical project managers. This audience is typically involved in developing scalable applications, microservices, or cloud-based solutions that require efficient configuration management. Pain Points Difficulty managing… →
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Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems
Deep Research Agents: A Systematic Roadmap for LLM-Based Autonomous Research Systems A collaborative team from the University of Liverpool, Huawei Noah’s Ark Lab, University of Oxford, and University College London presents a report highlighting Deep Research Agents (DR agents), a novel approach in autonomous research. These systems leverage Large Language Models (LLMs) to tackle complex,… →
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MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs
«`html MemAgent: A Reinforcement Learning Framework Redefining Long-Context Processing in LLMs Understanding the Target Audience The target audience for MemAgent includes AI researchers, data scientists, business analysts, and technology managers who are focused on improving the efficiency and capabilities of large language models (LLMs). Their pain points often revolve around: Challenges in processing long documents… →
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The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)
«`html The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025) Persona & Context Understanding The target audience for «The Definitive Guide to AI Agents: Architectures, Frameworks, and Real-World Applications (2025)» primarily consists of business executives, technology managers, data scientists, and IT professionals. They are keen on understanding how AI agents can optimize… →