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Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data
Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data Recent developments indicate that reinforcement learning (RL) can significantly enhance the reasoning abilities of large language models (LLMs). This study focuses on improving Audio LLMs—models that process audio and text to perform tasks such as question answering. The MMAU benchmark is a widely… →
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This AI Paper from Microsoft Introduces a DiskANN-Integrated System: A Cost-Effective and Low-Latency Vector Search Using Azure Cosmos DB
Microsoft Introduces a DiskANN-Integrated System for Cost-Effective Vector Search Using Azure Cosmos DB The ability to search high-dimensional vector representations has become essential for modern data systems. These vector representations, generated by deep learning models, encapsulate data’s semantic and contextual meanings, enabling systems to retrieve results based on relevance and similarity rather than exact matches.… →
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Personalized Visual Perceptual Learning Digital Therapy for Visual Field Defects Following Stroke: A Randomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this randomized clinical trial of a digital therapeutic for chronic poststroke VFDs, the visual perceptual learning-based training demonstrated significant improvements in the whole field and defective hemifield. →
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Clinical Validation of a Vaginal Cervical Cancer Screening Self-Collection Method for At-Home Use: A Nonrandomized Clinical Trial
CONCLUSIONS AND RELEVANCE: In this nonrandomized clinical trial, SC samples collected with the device showed equivalent clinical sensitivity and exceeded the PPA end point for cervical screening. This SC method was found to be easy to use and to be a preferred option with high clinical performance intended for use in an at-home setting. →
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Peri-Implant Diseases: Enhanced Antibacterial Photodynamic Therapy
CONCLUSIONS: Regularly applied dual-light aPDT reduces inflammation in the dental implant adjacent tissues. Dual-light aPDT approach holds promise as an effective home care tool for implant patients. →
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Brief intensive EMDR therapy for PTSD in adults with mild intellectual disability or borderline intellectual functioning and behavioural problems: a multiple baseline design study
Background: Individuals with mild intellectual disability (MID; IQ 50-70) or borderline intellectual functioning (BIF; IQ 70-85) are at an elevated risk of post-traumatic stress disorder (PTSD), with PTSD symptoms possibly associated with behavioural problems. It is important to test the effectiveness of trauma-focused treatments, such as eye movement desensitisation and reprocessing (EMDR) therapy, for adults… →
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Bisoprolol for patients with chronic obstructive pulmonary disease at high risk of exacerbation: the BICS RCT
CONCLUSIONS: In this underpowered study, the addition of bisoprolol to usual chronic obstructive pulmonary disease treatment did not reduce the likelihood of exacerbations, and bisoprolol cannot be recommended as a treatment for chronic obstructive pulmonary disease. →
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Albuterol Digihaler in COPD Disease Management: A Real-World Study to Assess Digihaler Inhalation Parameters, Thresholds and Their Use to Identify Deterioration in Clinical Practice
CONCLUSION: Our study suggests that alert thresholds based on Digihaler device-measured physiologic parameters may have value in a predictive model for clinical deterioration in COPD. →
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT
CONCLUSIONS: In children hospitalised with confirmed or suspected bacterial infection, the addition of a procalcitonin-guided algorithm to usual care is non-inferior in terms of safety, but does not reduce duration of intravenous antibiotics, and is not cost-effective. In the presence of robust antimicrobial stewardship programmes to reduce antibiotic use, a procalcitonin-guided algorithm may offer little… →
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The Roller Coaster SLAM Dataset: High-Dynamic Visual-Inertial Benchmarks from Amusement Rides
This is the world’s first SLAM dataset recorded onboard real roller coasters, offering extreme motion dynamics, perceptual challenges, and unique conditions for benchmarking SLAM algorithms under aggressive real-world trajectories. Key Highlights: Unprecedented Motion Dynamics – Captures high-acceleration motion with rapid velocity changes, sharp turns, and steep vertical drops, providing a stress test for visual-inertial odometry and… →