264 research outputs found

    Employment and Labor Law

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    Data-Centric Collaboration for Wired and Wireless Platforms

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    With the proliferation of mobile computing devices there is an increasing demand for applications supporting collaboration among users working in the field and in the office. A key component for collaboration in this domain is sharing and manipulation of information using very different devices and communications. We propose a novel, data-centric collaboration paradigm, where each user can obtain a subset of the shared data and the data may be visualized differently for different users. The data amount and the visualization technique reflect the user’s interests and/or computing and communication capabilities. The users collaborate on and exchange data, and the data is dynamically transformed to adapt to the particular computing/network platform. The resulting design is simple yet very powerful and scalable. It is implemented and tested by developing several complex groupware applications

    Mellow Moon

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    https://digitalcommons.library.umaine.edu/mmb-vp/2105/thumbnail.jp

    Employment and Labor Law

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    A TALE OF TWO GROUPS: DIFFERENCES BETWEEN MINORITY STUDENTS AND NON-MINORITY STUDENTS IN THEIR PREDISPOSITION TO AND ENGAGEMENT WITH DIVERSE PEERS AT A PREDOMINANTLY WHITE INSTITUTION

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    The purpose of this study was to examine the extent to which minority students and non-minority students differ in their predispositions to engage in campus-based diversity activities upon entering college and engagement with diverse college peers during college. These ethnicity-based interactional differences were examined under a revised version of the Transition to College Model (Locks et al., 2008). The Diverse College Student Engagement Model accounts for the joint influence of student pre-college characteristics along with collegiate experiences, in shaping engagement with racially diverse peers at a predominantly White college. Using Structural Equation Modeling (SEM) and Latent Means Modeling (LMM), this dissertation examined direct and indirect effects of factors that influence engagement with diverse students in college. Findings indicated that engagement with diverse peers does not take place in a vacuum; conditions and mechanisms that facilitate engagement also matter. Several pre-college variables and college variables were shown to influence predisposition to engage in diversity-related activities and engagement among diverse peers in college. Findings from testing the proposed model indicate that minority students were significantly higher in the latent factor Predisposition to Engage when entering college; however, no significant differences were found in the latent factor Engagement after the sophomore year of college. The differences appear to have been attenuated by some of the campus mechanisms the University of Maryland has in place to foster engagement among diverse students

    It Ain\u27t Gonna Rain No Mo\u27

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    1. Oh! the night was dark and dreary,The air was full of sleet,The old mad stood out in the storm,his shoes were full of feet CHORUSOh! it ain\u27t gonna rain no ,o\u27 no mo\u27,it ain\u27t gonna rain no mo\u27,But how in the world can the old folks tell,It ain\u27t gonna rain no mo\u27. 2. Oh! Mosquito he fly high,Mosquito he fly low,If old man \u27Skeeta light on me,he ain\u27t gonna fly no mo\u27

    Employment and Labor Law

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    Oh! Take Me To My Mamma Dear

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    https://digitalcommons.library.umaine.edu/mmb-vp/2918/thumbnail.jp

    My Carolina Rose

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    https://digitalcommons.library.umaine.edu/mmb-vp/5415/thumbnail.jp

    Employment and Labor Law

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