Publications by authors named "T G Murrell"

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries.

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  • The study assesses the effectiveness of deep learning techniques in reconstructing brain MRI images with significant acceleration, targeting both general-purpose imaging and potential screenings.
  • During the research, a model was trained on nearly 5,900 MRI images, demonstrating that radiologists found images to be of sufficient quality for general use at up to 4× acceleration and for screening at up to 14× acceleration.
  • The results indicate that deep learning enables substantial image acceleration while maintaining quality, especially highlighting a higher threshold for screenings compared to standard diagnostic imaging.
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Background And Aims: Opioid agonist treatment is effective but resource intensive to administer safely in custodial settings, leading to significant under-treatment of opioid dependence in these settings world-wide. This study assessed the safety of subcutaneous slow-release depot buprenorphine in custody.

Design: Open-label, non-randomized trial.

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School-industry partnerships bring invaluable cognitive and material resources to K-12 but might inadvertently contribute to widening the achievement gap. Lack of social capital and industry connections make urban schools less likely to partner. This paper describes the University of Kansas (KU) Medical Center Health Science Academy, a university-industry-K-12 partnership designed to increase the number of underrepresented students in health science careers.

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  • Understanding nutrient dynamics in plants is crucial for improving farming practices and enhancing breeding programs aimed at better nutrient use and yields.
  • Research on maize hybrids in West Bengal revealed that varying levels of nitrogen, phosphorus, and potassium significantly impacted dry matter accumulation and nutrient dynamics in the plants.
  • The study found that specific maize cultivars responded differently to fertilization levels, with P3396 showing the highest nutrient accumulation and P3522 excelling in nutrient remobilization for grain nutrient content.
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