3,293 research outputs found

    The contribution of rural community businesses to integrated rural development: ā€œLocal services for local peopleā€

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    Policy responses to the problems facing rural areas across Europe have involved the replacement of ā€œproductivistā€ measures that subsidise agriculture to strategies promoting ā€œintegrated rural developmentā€, emphasising the interconnections between various facets of the rural economy. Thus farm modernisation and product processing and marketing are linked with the promotion of a more diversified economic base centred on tourism and recreation and the maintenance of services for local residents. An essential element of this model is its reliance on collaborative actions involving a range of community or civil society actors. This paper examines the extent to which the operation of community-owned businesses in rural parts of the Yorkshire and Humber region in the UK corresponds to these ideals of integrated rural development. Evidence is presented on their geographical footprint with respect to both direct economic impacts and linkages with social and institutional networks. This allows an assessment to be made of the contribution that such enterprises make to rural economic development as a whole. The conclusion is that they do have the potential to assist integrated rural development, but only as a small part of a much wider series of economic, social and environmental actions.integrated rural development, rural community businesses, economic impacts, geographical footprint, volunteering

    Resourceā€based learning strategies: Implications for students and institutions

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    This paper reports some findings from a project in implementing resourceā€based learning in economics, and identifies some implications for students and institutions. These include student responses to a midā€semester evaluation and the views of the project team. The latter have been informed by action research which sought to recognize studentsā€™ individual differences, employ active learning methods and, above all, integrate IT into the curriculum. While innovative strategies are clearly welcomed, students show strong attachment to some traditional methods. Most of those who suggested changes to the range of activities asked for reinstatement of at least some lectures, generally as additions to existing activities. Implications include the need for students and staff to acquire a wide range of new skills, for largeā€scale curriculum review if new learning technologies are to be fully integrated, and the need to acknowledge that, given student and staff perceptions of change, the process may be long and costly

    STEM degree completion and first-generation college students. A cumulative disadvantage approach to the outcomes gap

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    STEM majors offer pathways to lucrative careers but are often inac-cessible to first-generation students. Using data from the Education Longitudinal Study, we conducted descriptive statistics, regression analyses, and group comparisons to examine differences between first-generation students and continuing-generation students across STEM degree, non-STEM degree, dropout, and no degree completion. Findings illuminate that generation status is related to STEM completion, but other factors are driving this association; for example, pre-college STEM factors have significant predictive power. Our implications suggest a need to further examine pre-college and transfer pathways to STEM and to explore the limitations of first-generation status as a categorization

    Automated Cloud Removal on High-Altitude UAV Imagery Through Deep Learning on Synthetic Data

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    New theories and applications of deep learning have been discovered and implemented within the field of machine learning recently. The high degree of effectiveness of deep learning models span across many domains including image processing and enhancement. Specifically, the automated removal of clouds, smoke, and haze from images has become a prominent and pertinent field of research. In this paper, I propose an analysis and synthetic training data variant for the All-in-One Dehazing Network (AOD-Net) architecture that performs better on removing clouds and haze; most specifically on high altitude unmanned aerial vehicles (UAVs) images

    The contribution of community businesses to the rural economy of Yorkshire and the Humber

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