336 research outputs found

    Kevin Chiarizzio, Rebecca Moore, and Cindy Fuller in a Faculty Recital

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    This is the program for the faculty recital featuring trombone player Kevin Chiarizzio, pianist Rebecca Moore, and organist Cindy Fuller. This recital took place on January 30, 1996, in the Mabee Fine Arts Center Recital Hall

    MADAM Protein Decreases Microsporidia Attachment to Host Cells

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    Microsporidia are an obligate, intracellular fungal pathogen that can cause devastating, disseminating infections in the immunocompromised. Because of the limitations of current medications, microsporidia’s abundant presence in the environment, and an increasing number of at-risk populations, investigation into decreasing microsporidia infectivity is needed. As an intracellular pathogen, microspridial attachment is a vital first step to infection, and if attachment is reduced, previous work shows that infectivity is mitigated. An in silico analysis of Encephalitozoon intestinalis revealed a predicted protein similar in sequence to ADAM (A Disintegrin And Metalloproteinase) proteins. This predicted protein is termed microsporidia ADAM or MADAM. ADAM proteins contain an integrin binding region, which is well known to bind to integrin proteins. Integrins are important receptors for attachment and cell signaling, and several pathogens utilize host integrins as a receptor to aid in attachment during infection. Immunoelectron microscopy demonstrates that MADAM protein is found on the plasma membrane, anchoring disk, and polar tube of E. intestinalis spores. Our hypothesis is that MADAM is involved in the key role of host cell attachment. To this end, a 17 amino acid long section of the MADAM protein was generated that surrounded the integrin binding domain. During spore adherence assays, pretreating host cells with this small peptide protein, significantly decreased E. intestinalis spore attachment to host cells as compared to control samples. These results suggest E. intestinalis cleverly exploits host integrins as a means to bind to host cells before infection

    A Performing Arts Class Faculty Recital

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    This is the program for the Performing Arts Class faculty recital performance. The following faculty artists performed (in order of performance): trumpet player Doug Lockard; soprano Cindy Fuller accompanied by pianist Becky Moore; tenor Jon Secrest accompanied by pianist Cindy Fuller; tenor Stephen Garner accompanied by pianist Ouida Keck; duo pianists Cindy Fuller and Becky Moore; flutist Barry McVinney and organist Russell Hodges; and organist Russell Hodges. This recital took place on September 19, 1997, in the W. Francis McBeth Recital Hall

    URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments

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    A major challenge with off-road autonomous navigation is the lack of maps or road markings that can be used to plan a path for autonomous robots. Classical path planning methods mostly assume a perfectly known environment without accounting for the inherent perception and sensing uncertainty from detecting terrain and obstacles in off-road environments. Recent work in computer vision and deep neural networks has advanced the capability of terrain traversability segmentation from raw images; however, the feasibility of using these noisy segmentation maps for navigation and path planning has not been adequately explored. To address this problem, this research proposes an uncertainty-aware path planning method, URA* using aerial images for autonomous navigation in off-road environments. An ensemble convolutional neural network (CNN) model is first used to perform pixel-level traversability estimation from aerial images of the region of interest. The traversability predictions are represented as a grid of traversal probability values. An uncertainty-aware planner is then applied to compute the best path from a start point to a goal point given these noisy traversal probability estimates. The proposed planner also incorporates replanning techniques to allow rapid replanning during online robot operation. The proposed method is evaluated on the Massachusetts Road Dataset, the DeepGlobe dataset, as well as a dataset of aerial images from off-road proving grounds at Mississippi State University. Results show that the proposed image segmentation and planning methods outperform conventional planning algorithms in terms of the quality and feasibility of the initial path, as well as the quality of replanned paths

    Evaluation of Available Medical Interpretation Resources Available to Spanish-Speaking Patients in NJ AHEC Counties

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    According to the US Census Bureau Spanish is the most common non-English language spoken in the US. Despite the growing population of Spanish-speaking individuals, most healthcare providers can only communicate in English. Linguistic differences between patients and providers have been identified to impact the quality of care received, therefore, it is not surprising that Spanish-speaking patients have been found to be less satisfied with healthcare. Language barriers in healthcare lead to poor compliance and underuse of services which eventually negatively impact health outcomes. Several studies found that the most effective communication tools are often underutilized, with healthcare providers relying on untrained interpreters instead, oftentimes leading to medical errors, incorrect treatment and misdiagnosis. The purpose of this study is to investigate the availability of interpretation services offered by New Jersey healthcare providers in Camden, Gloucester, Atlantic, Salem, and Cumberland County and increase awareness of interpretation services available in these healthcare settings

    The Ursinus Weekly, January 10, 1978

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    Ursinus news in brief: Craft attempts prior restraint; Lilly Endowment scratched; Band hangs Mandel; Dishes returned; Cornell students march for time off • Library may curtail hours • Task force considers curriculum • Bankruptcy negates loans • C.I.A. investigates U.C. • Directory published • Tobin appointed • Employment curtailed • Opinion: Ursinus safety • Letters to the editor • A Vegetarian\u27s view • Censorship vs. student rights • Movie attack: Close encounters of the third kind • Dr. Parsons working on new book • Matty Simmons: The Man behind National Lampoon • Dylan to tour in the new year • Ursinus b-ball: marked improvement • Wrestling opens season • Men\u27s swimming • Study before you sleephttps://digitalcommons.ursinus.edu/weekly/1080/thumbnail.jp

    Software-Defined Radio for Space-to-Space Communications

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    A paper describes the Space- to-Space Communications System (SSCS) Software- Defined Radio (SDR) research project to determine the most appropriate method for creating flexible and reconfigurable radios to implement wireless communications channels for space vehicles so that fewer radios are required, and commonality in hardware and software architecture can be leveraged for future missions. The ability to reconfigure the SDR through software enables one radio platform to be reconfigured to interoperate with many different waveforms. This means a reduction in the number of physical radio platforms necessary to support a space mission s communication requirements, thus decreasing the total size, weight, and power needed for a mission
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