9,128 research outputs found

    Pizzuto v. State Clerk\u27s Record v. 1 Dckt. 47709

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    https://digitalcommons.law.uidaho.edu/idaho_supreme_court_record_briefs/9163/thumbnail.jp

    Research & scholarly achievements, July 1, 1983 - June 30, 1984

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    Annual summary of scholarly activities at UCF for the period from July 1, 1983 to June 30, 1984. This report highlights the contributions to scholarship by the Faculty during this period, including books and monographs, articles, creative works, presentations, grants and contracts

    FY 1991 scientific and technical reports, articles, papers, and presentations

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    Formal NASA technical reports, papers published in technical journals, and presentations by MSFC personnel in FY 1991 are presented. Papers of MSFC contractors are also included. The information in this report may be of value to the scientific and engineering community in determining what information has been published and what is available

    FY 1989 scientific and technical reports, articles, papers, and presentations

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    A compendium of bibliographic references to papers presented by Marshall Space Flight Center (MSFC) personnel and contractors during FY 1989 is provided. The papers include formal NASA technical reports, memoranda, papers which were published in technical journals, and presentations by MSFC personnel. The formal NASA technical reports and memoranda have abstracts included. Sources for obtaining these documents are also included

    Research & scholarly achievements, July 1, 1985 - June 30, 1986

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    Annual summary of scholarly activities at UCF for the period from July 1, 1985 to June 30, 1986. This report highlights the contributions to scholarship by the Faculty during this period, including books and monographs, articles, creative works, presentations, grants and contracts

    Towards a better understanding of the e-health user: comparing USE IT and Requirements study for an Electronic Patient Record.

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    This paper compares a traditional requirements study with 22 interviews for the design of an electronic patient record (EPR) and a USE IT analysis with 17 interviews trying to understand the end- user of an EPR. Developing, implementing and using information technology in organizations is a complex social activity. It is often characterized by ill-defined problems or vague goals, conflicts and disruptions that result from organizational change. Successfully implementing information systems in healthcare organizations appears to be a difficult task. Information Technology is regarded as an enabler of change in healthcare organizations but (information) technology adoption decisions in healthcare are complex, because of the uncertainty of benefits and the rate of change of technology. (Job) Relevance is recognized as an important determinant for IS success but still does not find its way into a systems design process

    Air Force Institute of Technology Research Report 2007

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    This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

    Decision Support Systems Adoption Among Strategic Decision Makers in Higher Learning Institution in Yemen

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    It is claimed that higher education institutions in Yemen do not have clear visions, missions, strategic objectives, and they apply traditional management systems with complex procedures. In addition, there has been some ignorance of technology among the Yemeni strategic decision makers because they have not had a clear view of what Information Technology applications can contribute in developing their institutions and the strategic decision-making, and styles of the strategic decision makers. IT applications can also be used in investigating the perceived acceptance of the strategic decision makers towards decision support systems (DSS) technologies. Thus, the unified theory of acceptance and use of technology (UTAUT) has been adopted. A total of 121 forms of questionnaire were collected from the strategic decision makers in Sana’a University and Science and Technology University. Descriptive, regression and structural equation modeling analyses were run to test the hypotheses. The present study found that the research policy, adoption of information technology applications, curriculum, mission, organization of colleges and university, admission policies, financial policies, facilities and equipment, and institutional governance personnel are areas that require strategic decisions in the Yemeni higher learning institutions. Regarding decision making styles, the majority are technical-oriented (analytical and directive) strategic decision makers. The findings indicate that performance expectancy and strategic value expectancy have a significant positive influence on behavioural intention of the strategic decision makers to adopt the DSS. However social influence was found to have influence on behavioural intention when it was tested alone as an independent construct. The strategic decision maker’s decision making style moderates the relationship between efforts expectancy and behavioural intention only. However, administrative experience and professional achievement moderate the relationship between performance expectancy and strategic value expectancy, and behavioural intention only. As a conclusion, this study suggests that technology adoption can be a new strategic decision area

    Classifiers for modeling of mineral potential

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    [Extract] Classification and allocation of land-use is a major policy objective in most countries. Such an undertaking, however, in the face of competing demands from different stakeholders, requires reliable information on resources potential. This type of information enables policy decision-makers to estimate socio-economic benefits from different possible land-use types and then to allocate most suitable land-use. The potential for several types of resources occurring on the earth's surface (e.g., forest, soil, etc.) is generally easier to determine than those occurring in the subsurface (e.g., mineral deposits, etc.). In many situations, therefore, information on potential for subsurface occurring resources is not among the inputs to land-use decision-making [85]. Consequently, many potentially mineralized lands are alienated usually to, say, further exploration and exploitation of mineral deposits. Areas with mineral potential are characterized by geological features associated genetically and spatially with the type of mineral deposits sought. The term 'mineral deposits' means .accumulations or concentrations of one or more useful naturally occurring substances, which are otherwise usually distributed sparsely in the earth's crust. The term 'mineralization' refers to collective geological processes that result in formation of mineral deposits. The term 'mineral potential' describes the probability or favorability for occurrence of mineral deposits or mineralization. The geological features characteristic of mineralized land, which are called recognition criteria, are spatial objects indicative of or produced by individual geological processes that acted together to form mineral deposits. Recognition criteria are sometimes directly observable; more often, their presence is inferred from one or more geographically referenced (or spatial) datasets, which are processed and analyzed appropriately to enhance, extract, and represent the recognition criteria as spatial evidence or predictor maps. Mineral potential mapping then involves integration of predictor maps in order to classify areas of unique combinations of spatial predictor patterns, called unique conditions [51] as either barren or mineralized with respect to the mineral deposit-type sought
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