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Mindfulness-Based Stress Reduction Alleviates Depression, Anxiety, and Internalized Stigma Compared With Treatment-as-Usual Among Head and Neck Cancer Patients: Findings From a Randomized Controlled Trial
Background: This study aimed to: (1) compare the rates of change in the severity of depression and anxiety symptoms (primary outcomes) as well as internalized stigma and its components (shame with appearance [SWA], speech and social concerns [SSCs], sense of stigma [SS], and regret [R]; secondary outcomes) between the mindfulness-based stress reduction (MBSR) group and… →
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Rosuvastatin for Improving Fetal Growth Restriction in Pregnant Women: A Double-Blind Randomized Clinical Trial
CONCLUSION: Rosuvastatin demonstrated improved perinatal outcomes in FGR pregnancies without adverse neonatal effects.Trial Registration Number: IRCT20140317017035N8. →
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Alibaba Qwen Team Just Released FP8 Builds of Qwen3-Next-80B-A3B (Instruct & Thinking), Bringing 80B/3B-Active Hybrid-MoE to Commodity GPUs
«`html Alibaba Qwen Team Releases FP8 Builds of Qwen3-Next-80B-A3B (Instruct & Thinking) Alibaba’s Qwen team has released FP8-quantized checkpoints for its new Qwen3-Next-80B-A3B models in two post-training variants—Instruct and Thinking. These models are designed for high-throughput inference with ultra-long context and Mixture-of-Experts (MoE) efficiency. The FP8 repositories mirror the BF16 releases but package “fine-grained FP8”… →
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Top 15 Model Context Protocol (MCP) Servers for Frontend Developers (2025)
Top 15 Model Context Protocol (MCP) Servers for Frontend Developers (2025) Understanding the Target Audience The primary audience for this content includes frontend developers, team leads, and technical project managers. These individuals are typically engaged in web development, focusing on integrating design, code, deployment, and monitoring workflows. Here are their key characteristics: Pain Points: Fragmented… →
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MIT Researchers Enhanced Artificial Intelligence (AI) 64x Better at Planning, Achieving 94% Accuracy
MIT Researchers Enhance Artificial Intelligence (AI) for Improved Planning Capabilities Understanding the Target Audience The target audience for this research primarily consists of: AI researchers and developers looking for innovative solutions to improve model performance. Businesses and enterprises interested in integrating advanced AI planning systems into their operational workflows. Academics and students in fields related… →
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Understanding the Universal Tool Calling Protocol (UTCP)
«`html Understanding the Universal Tool Calling Protocol (UTCP) Target Audience Analysis The target audience for UTCP includes: AI Developers and Engineers working on integration projects SaaS Providers seeking efficient tool exposure Enterprise Teams handling complex tool integrations Key pain points include: Complexity and latency associated with traditional integration methods High overhead from maintaining multiple wrapper… →
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Meta AI Proposes ‘Metacognitive Reuse’: Turning LLM Chains-of-Thought into a Procedural Handbook that Cuts Tokens by 46%
Meta AI Proposes ‘Metacognitive Reuse’: Turning LLM Chains-of-Thought into a Procedural Handbook that Cuts Tokens by 46% Understanding the Target Audience The primary audience for this content includes AI researchers, data scientists, business managers, and decision-makers in tech companies. Their pain points often include: High operational costs associated with token usage in language models. Challenges… →
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tDCS and Speech Therapy in Aphasia Treatment: A Multicenter Comparative Study of Efficacy
BACKGROUND Aphasia is a common consequence of stroke and traumatic brain injury (TBI) that significantly impairs communication and quality of life. Transcranial direct current stimulation (tDCS) has emerged as a non-invasive technique potentially enhancing language rehabilitation. This study aimed to evaluate the efficacy of tDCS in combination with speech-language therapy (SLT) in improving language functions… →
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IBM and ETH Zürich Researchers Unveil Analog Foundation Models to Tackle Noise in In-Memory AI Hardware
IBM and ETH Zürich Researchers Unveil Analog Foundation Models to Tackle Noise in In-Memory AI Hardware Understanding the Target Audience The target audience for this research includes AI researchers, data scientists, and business leaders in technology sectors focused on AI and machine learning. These individuals are typically engaged in developing or implementing AI solutions and… →
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Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems
«`html Building a Hybrid Rule-Based and Machine Learning Framework to Detect and Defend Against Jailbreak Prompts in LLM Systems In this tutorial, we introduce a Jailbreak Defense that we built step-by-step to detect and safely handle policy-evasion prompts. We generate realistic attack and benign examples, craft rule-based signals, and combine those with TF-IDF features into… →