580 research outputs found

    Statistical properties of inelastic Lorentz gas

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    The inelastic Lorentz gas in cooling states is studied. It is found that the inelastic Lorentz gas is localized and that the mean square displacement of the inelastic Lorentz gas obeys a power of a logarithmic function of time. It is also found that the scaled position distribution of the inelastic Lorentz gas has an exponential tail, while the distribution is close to the Gaussian near the peak. Using a random walk model, we derive an analytical expression of the mean square displacement as a function of time and the restitution coefficient, which well agrees with the data of our simulation. The exponential tail of the scaled position distribution function is also obtained by the method of steepest descent.Comment: 31pages,9figures, to appear Journal of Physical Society of Japan Vol.70 No.7 (2001

    Business support for farmers: an evaluation of the Farm Cornwall Project

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    Purpose ā€“ The purpose of this paper is to present an account of a Farm Support Project in Cornwall which provides support, advice and an outreach facility for farmers in the Penwith district of Cornwall. It also discusses how effective such schemes are, particularly in an external environment which poses threats to the farm sector in the UK. Three kinds of questions about the nature of farming and the status of farmers are posed. The first set of questions includes polarisations about the hegemonic position of farmers. Second, macro-economic, and thus policy, questions concerning the economic ā€œfootprintā€ of the farmer and the farm's relationship with the economy are posed in Cornwall. The third set of questions concerns the economic role and entrepreneurial capability of the farmer in Cornwall. Design/methodology/approach ā€“ A desk study of the scheme's objectives, a literature review, and interviews with 27 stakeholders were reported on specifically the results of the interviews. Findings ā€“ The Penwith Scheme encompasses an integrated approach to providing business support to farmers including: sign-posting specialist advisers, the facilitation of training assistance with major grant applications, the development of ā€œsocial capitalā€ through to help in accessing sources of social support

    Alien Registration- Mcelwee, Agnes G. (Houlton, Aroostook County)

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    https://digitalmaine.com/alien_docs/34767/thumbnail.jp

    Exploring Entrepreneurial Skills and Competencies in Farm Tourism

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    Diversification to farm tourism is increasingly seen as a viable development strategy to promote a more diverse and sustainable rural economy and to counter declining farm incomes. However, our understanding of the dynamics of the modern farm tourism business and the entrepreneurial and competitive skills farmers require in making the transition from agriculture to a diversified - and service based - enterprise remains limited. Hence, the aim of this paper is to explore the range of skills and competencies that farmers in the North West of England identify as important when adopting a diversification strategy to farm tourism. With the findings indicating that that whilst a range of managerial skills are valued by farmers, they lack many of the additional business and entrepreneurial competencies required for success. Moreover, this paper acknowledges the need to generate consensus on the requisite skill-set that farm tourism operators require, along with a need for a currently fragmented rural tourism literature to acknowledge the significance of rural entrepreneurship and the characteristics of successful farmers and farm tourism ventures

    Identifying patterns of item missing survey data using latent groups: An observational study

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    Objectives: To examine whether respondents to a survey of health and physical activity and potential determinants could be grouped according to the questions they missed, known as ā€˜item missingā€™. Design: Observational study of longitudinal data. Setting: Residents of Brisbane, Australia. Participants: 6901 people aged 40ā€“65 years in 2007. Materials and methods: We used a latent class model with a mixture of multinomial distributions and chose the number of classes using the Bayesian information criterion. We used logistic regression to examine if participantsā€™ characteristics were associated with their modal latent class. We used logistic regression to examine whether the amount of item missing in a survey predicted wave missing in the following survey. Results: Four per cent of participants missed almost one-fifth of the questions, and this group missed more questions in the middle of the survey. Eighty-three per cent of participants completed almost every question, but had a relatively high missing probability for a question on sleep time, a question which had an inconsistent presentation compared with the rest of the survey. Participants who completed almost every question were generally younger and more educated. Participants who completed more questions were less likely to miss the next longitudinal wave. Conclusions: Examining patterns in item missing data has improved our understanding of how missing data were generated and has informed future survey design to help reduce missing data
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