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Cost-effectiveness of school integrated pest management and air filtration in students with asthma
Background: The cost-effectiveness of school environmental remediation in asthma is not known. The School Inner City Asthma Intervention Study (SICAS2) was a randomized controlled trial that assessed school integrated pest management (IPM) and classroom high efficiency particulate air (HEPA) filtration on asthma morbidity in urban schools. Objective: The objective was to evaluate the cost-effectiveness of… →
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Outcomes of the linking exercise for advancing daily stress (LEADS) management and resilience randomized pilot trial in African American adolescents and families
CONCLUSIONS: This pilot feasibility trial demonstrates the acceptabity and feasibiity of integrating culturally sensitive strength-based interventions for African American families to promote health promotion behaviors and coping. →
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SLE-DAS enables an accurate definition of severe lupus disease activity: derivation and validation in a post hoc study of anifrolumab phase II and III studies
CONCLUSION: The SLE-DAS cut-off for SDA provides an accurate definition of SDA in SLE, with good discriminative power and consistent associations with worse HR-QoL. This SLE-DAS definition enhances disease activity classification and offers a practical tool for guiding treatment decisions in clinical practice, as well as selecting patients with SDA for inclusion in clinical trials. →
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Insulin for early glycaemic abnormality in children with cystic fibrosis without cystic fibrosis-related diabetes (CF-IDEA): a randomised controlled trial
BACKGROUND: People with cystic fibrosis can have impaired insulin secretion and hyperglycaemia before meeting the diagnostic criteria for cystic fibrosis-related diabetes during an oral glucose tolerance test (OGTT). Insulin therapy given to such patients was associated with improved weight and lung function in several small, uncontrolled trials but might increase treatment burden and cause hypoglycaemia.… →
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Cost-consequence analysis of an e-health intervention to reduce distress in dementia carers: results from the iSupport randomised controlled trial
CONCLUSION: Use of iSupport was associated with reduced health and social care resource use costs for carers compared with care-as-usual. Self-guided e-health interventions for dementia carers may have the potential to reduce health and social care resource use and wider societal costs, but evidence relating to their effectiveness and cost-effectiveness is lacking. →
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AWS Open-Sources Strands Agents SDK to Simplify AI Agent Development
AWS Open-Sources Strands Agents SDK to Simplify AI Agent Development Amazon Web Services (AWS) has open-sourced its Strands Agents SDK, aiming to make the development of AI agents more accessible and adaptable across various domains. By following a model-driven approach, the Strands Agents SDK abstracts much of the complexity behind building, orchestrating, and deploying intelligent… →
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Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images
Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images Manipulating lighting conditions in images post-capture poses significant challenges. Traditional methods often rely on 3D graphics techniques, which reconstruct scene geometry and properties from multiple images before simulating new lighting using physical illumination models. While these techniques allow… →
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This AI paper from DeepSeek-AI Explores How DeepSeek-V3 Delivers High-Performance Language Modeling by Minimizing Hardware Overhead and Maximizing Computational Efficiency
DeepSeek-AI’s DeepSeek-V3: Optimizing Language Modeling for Efficiency The development and deployment of large language models (LLMs) have been significantly influenced by architectural innovations, extensive datasets, and hardware advancements. Models such as DeepSeek-V3, GPT-4o, Claude 3.5 Sonnet, and LLaMA-3 have shown how scaling can enhance reasoning and dialogue capabilities. However, as performance improves, so do the… →
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LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks
LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks Conversational artificial intelligence focuses on enabling large language models (LLMs) to engage in dynamic interactions where user needs are revealed progressively. These systems are widely deployed in tools that assist with coding, writing, and research by interpreting… →
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Windsurf Launches SWE-1: A Frontier AI Model Family for End-to-End Software Engineering
Windsurf Launches SWE-1: A Frontier AI Model Family for End-to-End Software Engineering In a significant step towards integrating AI with software engineering, Windsurf has introduced SWE-1, its first family of AI models tailored for the complete software development lifecycle. This new approach moves beyond traditional code generation to support real-world software engineering workflows, addressing challenges… →