574 research outputs found

    Determining the physical limits on semi‐active control performance: a tutorial

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106822/1/stc1602.pd

    Detachable force sensor for an ultrasound probe to improve rotator cuff injury diagnosis

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    Rotator cuff disease, common in elderly persons and athletes, is resultant of repetitive use of shoulder muscles or sudden impact to the area. The spectrum of injury ranges from tendonitis to a complete tear of the rotator cuff tendon which results in a myriad of treatments. Even though ultrasound is one of the most frequently used imaging techniques to diagnose this disease, it lacks contextual information and consistency needed for an accurate treatment plan. We are creating an ultrasound probe attachment using pressure sensing pads to measure force applied during imaging. Using our pads, we measured the change in resistance across the pad which can be used with pre-existing ultrasound imaging data to calculate the Young\u27s Modulus of the tissue. We hope this will provide more consistency in characterizing the rotator cuff. For the clinician, having this additional information may help to determine the extent of the injury and be beneficial in determining the appropriate treatment

    Pull From the Knee: Proper Technique and Application

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    The pull from the knee is a weightlifting movement derivative that can be used in the teaching progression of the clean and snatch exercises. This exercise emphasizes positional strength during the transition phase and the triple extension of the hip, knee, and ankle joints that is characteristic of weightlifting movements

    Book Review: Why Are All the Black Kids Sitting Together in the Cafeteria? and Other Conversations About Race

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    Why Are All the Black Kids Sitting Together in the Cafeteria? and Other Conversations About Race is a 2017 revised and updated edition to Dr. Beverly Daniel Tatum’s original book written in 1997. The book explores decades of research on the psychology of racism, with an emphasis on the psychology of racial identity in Black, White, and other ethnic and cultural identities. The author helps readers gain a better understanding of historic and modern racism and the implications it has on individuals today. The book also contains important messages for people who work with diverse groups of adults and particularly of youth

    OPEN XAL Status Report 2015

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    MOPW1050International audienceOpen XAL is an accelerator physics software platformdeveloped in collaboration among several facilitiesaround the world. The Open XAL collaboration wasformed in 2010 to port, improve and extend the successfulXAL platform used at the Spallation Neutron Source foruse in the broader accelerator community and to establishit as the standard platform for accelerator physicssoftware. The site-independent core is complete, activeapplications have been ported, and now we are in theprocess of verification and transitioning to using OpenXAL in production. This paper will present the currentstatus and a roadmap for this project

    Open XAL status Report 2015

    Get PDF
    Open XAL is an accelerator physics software platform developed in collaboration among several facilities around the world. The Open XAL collaboration was formed in 2010 to port, improve and extend the successful XAL platform used at the Spallation Neutron Source for use in the broader accelerator community and to establish it as the standard platform for accelerator physics software. The site-independent core is complete, active applications have been ported, and now we are in the process of verification and transitioning to using Open XAL in production. This paper will present the current status and a roadmap for this project

    The challenge of face recognition from digital point-and-shoot cameras

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    Inexpensive “point-and-shoot ” camera technology has combined with social network technology to give the gen-eral population a motivation to use face recognition tech-nology. Users expect a lot; they want to snap pictures, shoot videos, upload, and have their friends, family and acquain-tances more-or-less automatically recognized. Despite the apparent simplicity of the problem, face recognition in this context is hard. Roughly speaking, failure rates in the 4 to 8 out of 10 range are common. In contrast, error rates drop to roughly 1 in 1,000 for well controlled imagery. To spur advancement in face and person recognition this pa-per introduces the Point-and-Shoot Face Recognition Chal-lenge (PaSC). The challenge includes 9,376 still images of 293 people balanced with respect to distance to the cam-era, alternative sensors, frontal versus not-frontal views, and varying location. There are also 2,802 videos for 265 people: a subset of the 293. Verification results are pre-sented for public baseline algorithms and a commercial al-gorithm for three cases: comparing still images to still im-ages, videos to videos, and still images to videos. 1
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