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Data show that many high school students, especially those from underserved or underrepresented backgrounds, are unsuccessful in achieving a four-year college degree, particularly in Science, Technology, Engineering, and Math (STEM) careers. These young scholars often have strong potential and ambitious dreams, but face significant structural barr   ...more

Background: Laxity of soft tissues after total hip arthroplasty is considered to be a cause of accelerated wear of bearing surfaces and dislocation. The purpose of this study is to assess the contribution of the anterior and posterior capsular ligamentous complexes and the short external rotators, except the quadratus femoris, on the stability of   ...more

We present a novel semi-autonomous clinician-in-the-loop strategy to perform the laparoscopic cryoablation of small kidney tumors. To this end, we introduce a model-independent bimanual tissue manipulation technique. In this method, instead of controlling the robot, which inserts and steers the needle in the deformable tissue (DT), the cryoprobe i   ...more

Pre-operative CT data is available for several orthopedic and trauma interventions, and is mainly used to identify injuries and plan the surgical procedure. In this work we propose an intuitive augmented reality environment allowing visualization of pre-operative data during the intervention, with an overlay of the optical information from the sur   ...more

Ultrasound (US) is recognized for its use in medical imaging as a diagnostic tool. As an acoustic energy source, US has become increasingly appreciated over the past decade for its ability to non-invasively modulate cellular activity including neuronal activity. Data obtained from a host of experimental models has shown that low-intensity US can r   ...more

We explored unsupervised machine learning algorithms, specifically graph analytics, applied to behaviors observed in heterogeneous network sensor data for discovering anomalous behavior that could include novel attacks. In addition, we explored the potential difficulties with applying unsupervised machine learning approaches   ...more

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Ashley Llorens
Ashley.Llorens@jhuapl.edu
240-228-0312

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