988 resultados para Career and Academic Support Service


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Washington depends on a healthy coastal and marine ecosystem to maintain a thriving economy and vibrant communities. These ecosystems support critical habitats for wildlife and a growing number of often competing ocean activities, such as fishing, transportation, aquaculture, recreation, and energy production. Planners, policy makers and resource managers are being challenged to sustainably balance ocean uses, and environmental conservation in a finite space and with limited information. This balancing act can be supported by spatial planning. Marine spatial planning (MSP) is a planning process that enables integrated, forward looking, and consistent decision making on the human uses of the oceans and coasts. It can improve marine resource management by planning for human uses in locations that reduce conflict, increase certainty, and support a balance among social, economic, and ecological benefits we receive from ocean resources. In March 2010, the Washington state legislature enacted a marine spatial planning law (RCW §43.372) to address resource use conflicts in Washington waters. In 2011, a report to the legislature and a workshop on human use data provided guidance for the marine spatial planning process. The report outlines a set of recommendations for the State to effectively undertake marine spatial planning and this work plan will support some of these recommendations, such as: federal integration, regional coordination, developing mechanisms to integrate scientific and technical expertise, developing data standards, and accessing and sharing spatial data. In 2012 the Governor amended the existing law to focus funding on mapping and ecosystem assessments for Washington’s Pacific coast and the legislature provided $2.1 million in funds to begin marine spatial planning off Washington’s coast. The funds are appropriated through the Washington Department of Natural Resources Marine Resources Stewardship Account with coordination among the State Ocean Caucus, the four Coastal Treaty Tribes, four coastal Marine Resource Committees and the newly formed stakeholder body, the Washington Coastal Marine Advisory Council.

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The present study investigated the relationship between statistics anxiety, individual characteristics (e.g., trait anxiety and learning strategies), and academic performance. Students enrolled in a statistics course in psychology (N=147) filled in a questionnaire on statistics anxiety, trait anxiety, interest in statistics, mathematical selfconcept, learning strategies, and procrastination. Additionally, their performance in the examination was recorded. The structural equation model showed that statistics anxiety held a crucial role as the strongest direct predictor of performance. Students with higher statistics anxiety achieved less in the examination and showed higher procrastination scores. Statistics anxiety was related indirectly to spending less effort and time on learning. Trait anxiety was related positively to statistics anxiety and, counterintuitively, to academic performance. This result can be explained by the heterogeneity of the measure of trait anxiety. The part of trait anxiety that is unrelated to the specific part of statistics anxiety correlated positively with performance.

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The dream of pervasive computing is slowly becoming a reality. A number of projects around the world are constantly contributing ideas and solutions that are bound to change the way we interact with our environments and with one another. An essential component of the future is a software infrastructure that is capable of supporting interactions on scales ranging from a single physical space to intercontinental collaborations. Such infrastructure must help applications adapt to very diverse environments and must protect people's privacy and respect their personal preferences. In this paper we indicate a number of limitations present in the software infrastructures proposed so far (including our previous work). We then describe the framework for building an infrastructure that satisfies the abovementioned criteria. This framework hinges on the concepts of delegation, arbitration and high-level service discovery. Components of our own implementation of such an infrastructure are presented.

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Korosteleva-Polglase Elena, White, S., 'Political Leadership and Public Support In Belarus: Forward to the Past?', In: 'The EU and Belarus: Between Moscow and Brussels', (London: Kogan Page), pp.51-71, 2001 RAE2008

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Jackson, Richard, (2007) 'Constructing Enemies: 'Islamic Terrorism' in Political and Academic Discourse', Government and Opposition, 42(3) pp.394-426 RAE2008

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The history of higher learning in Cork can be traced from its late eighteenth-century origins to its present standing within the extended confines of the Neo-Gothic architecture of University College, Cork. This institution, founded in 1845 was the successor and ultimate achievement of its forerunner, the Royal Cork Institution. The opening in 1849 of the college, then known as Queen's College, Cork, brought about a change in the role of the Royal Cork Institution as a centre of education. Its ambition of being the 'Munster College' was subsumed by the Queen's College even though it continued to function as a centre of learning up to the 1805. At this time its co-habitant, the School of Design, received a new wing under the benevolent patronage of William Crawford, and the Royal Cork Institution ceased to exist as the centre for cultural, technical and scientific learning it had set out to be. The building it occupied is today known as the Crawford Municipal Art Gallery.

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Background: College adjustment is a developmental milestone that can be stressful and may lead to mental health problems such as depression. Support during this adjustment period is seen as essential, however it is unknown if informal peer support from fellow students has any impact on either college adjustment or depressive symptoms. Aim: To identify levels of social and personal college adjustment, depressive symptoms and peer support among students, and to examine the relationship between the variables. Design: A quantitative correlational design was used Instruments: Data were collected using two subscales of the Student Adaptation to College Questionnaire; the Centre for Epidemiology Depressive Symptoms Scale and a subscale of the Peer Support Evaluation Inventory. Sample: The sample consisted of 417, first (n=188), second (n=134) and fourth (n=94) year nursing and midwifery students from one University in Ireland. Findings: The findings indicated that 20% of participants were poorly personally adjusted and 9% poorly socially adjusted. Furthermore, 34% of participants experienced significant depressive symptoms. Most students had good levels of peer support. Statistically significant relationships were found between all key variables, the strongest of which were between personal adjustment and depressive symptoms and social adjustment and depressive symptoms. Differences in adjustment and depressive symptom scores were found based on year of study, with second year students experiencing more depressive symptoms and having poorer personal adjustment scores. Participants who had poor relationships with their father’s experienced greater depressive symptoms and had more difficulties personally and socially adjusting to college. The alcohol consumption of participants had a statistically significant correlation with college adjustment, depressive symptoms and peer support, with higher consumption having a positive impact on the variables.

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We have shown a description of the changes and innovations happened in Spain concerning the research on Mathematics Education during the last 25 years, highlighting specially the fast development of the last 10 years. Neither of these great and striking changes would have taken place if there was not been an evolution within the Spanish society, and particularly, within its educational system. Thanks to this, we have found the appropriate conditions for research development.

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This work proceeds from the assumption that a European environmental information and communication system (EEICS) is already established. In the context of primary users (land-use planners, conservationists, and environmental researchers) we ask what use may be made of the EEICS for building models and tools which is of use in building decision support systems for the land-use planner. The complex task facing the next generation of environmental and forest modellers is described, and a range of relevant modelling approaches are reviewed. These include visualization and GIS; statistical tabulation and database SQL, MDA and OLAP methods. The major problem of noncomparability of the definitions and measures of forest area and timber volume is introduced and the possibility of a model-based solution is considered. The possibility of using an ambitious and challenging biogeochemical modelling approach to understanding and managing European forests sustainably is discussed. It is emphasised that all modern methodological disciplines must be brought to bear, and a heuristic hybrid modelling approach should be used so as to ensure that the benefits of practical empirical modelling approaches are utilised in addition to the scientifically well-founded and holistic ecosystem and environmental modelling. The data and information system required is likely to end up as a grid-based-framework because of the heavy use of computationally intensive model-based facilities.