101 research outputs found
Documentation Driven Software Development
The views, opinions and/or findings contained in this report are those of the author(s) and should not contrued as an official Department of the Army position, policy or decision, unless so designated by other documentation.Our objective is to develop an integrated, systematic, documentation centric approach to software development, known as Documentation Driven Software Development (DDD). The research issues for DDD are creation and application of three key documenting technologies that will drive the development process and a Document Management System (DMS) that will support them. These technologies address (1) representations for active documents; (2) representations for repositories; (3) methods for analysis, transformation, and presentation of this information. In addition, we explored new possibilities for computed-aided interfaces that help humans with routine tasks. In doing so we applied Cognitive Science and machine learning methods to design user interfaces that can learn and assist users. We also expanded our work in the area of integration of ontologies from heterogeneous sources. Specifically, we studied Knowledge System Integration Ontology (KSIO) that aligns data and information systems with current situational context for the efficient knowledge collection, integration and transfer. The role of ontology is to organize and structure knowledge (e.g. by standardized terminology) so that semantic queries and associations become more efficient. We assessed the degree to which natural language processing can be usefully applied to the analysis of requirement changes and their impact on system structure and implementation
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DOE EPSCoR Initiative in Structural and computational Biology/Bioinformatics
The overall goal of the DOE EPSCoR Initiative in Structural and Computational Biology was to enhance the competiveness of Vermont research in these scientific areas. To develop self-sustaining infrastructure, we increased the critical mass of faculty, developed shared resources that made junior researchers more competitive for federal research grants, implemented programs to train graduate and undergraduate students who participated in these research areas and provided seed money for research projects. During the time period funded by this DOE initiative: (1) four new faculty were recruited to the University of Vermont using DOE resources, three in Computational Biology and one in Structural Biology; (2) technical support was provided for the Computational and Structural Biology facilities; (3) twenty-two graduate students were directly funded by fellowships; (4) fifteen undergraduate students were supported during the summer; and (5) twenty-eight pilot projects were supported. Taken together these dollars resulted in a plethora of published papers, many in high profile journals in the fields and directly impacted competitive extramural funding based on structural or computational biology resulting in 49 million dollars awarded in grants (Appendix I), a 600% return on investment by DOE, the State and University
The Role of Adaptive Capacity on the Subjective Career Success of Former D-I African-American Male Athletes: A Mixed-Method Study
African-American male student-athletes who played a revenue-generating sport enter the labor market having relatively poor social networks, low grade point averages, few marketable skills outside of sports, restricted work experiences, and marginal subject matter knowledge; most of which are the result of their participation in sports (Singer, 2008). Therefore making the transition more difficult than even the average African-American male (Edwards, 1980). The purpose of this study was to: (1) Determine the factors that predict subjective career success for former D-I African-American male athletes who played a revenue-generating sport, and (2) Explore how former D-I African-American male athletes, who played a revenue-generating sport and realized subjective career success managed the transition from sport to the general labor market. This convergent parallel mixed-method study used survey research as well as semi- structured interviews to explore what factors contribute to the realization of subjective career success for former African-American male athletes. Stepwise linear regression was used to explore the relationship between the indevependent variables and the single dependent variable, subjective career success. The analysis showed that the only variable to produce a statistically significant outcome was adaptive capacity (full scale) (R=.386). The themes generated from the interviews with eight subjectively successful former athletes confirmed the quantitative results
Annual Report, 2012-2013
Beginning in 2004/2005- issued in online format onl
University of San Diego News Print Media Coverage 2008.09
Printed clippings housed in folders with a table of contents arranged by topic.https://digital.sandiego.edu/print-media/1068/thumbnail.jp
University of San Diego News Print Media Coverage 2008.05
Printed clippings housed in folders with a table of contents arranged by topic.https://digital.sandiego.edu/print-media/1064/thumbnail.jp
University of San Diego News Print Media Coverage 2008.05
Printed clippings housed in folders with a table of contents arranged by topic.https://digital.sandiego.edu/print-media/1064/thumbnail.jp
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