120,089 research outputs found

    Arts utiles . 1° Eau épidermo-ïde... Par P.-L. Prosper,...

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    Contient une table des matièresAvec mode text

    Cymbalum mundi, ou Dialogues satyriques sur differens sujets, par Bonaventure des Periers. Avec une lettre critique dans laquelle on fait l\u27histoire, l\u27analyse, & l\u27apologie de cet ouvrage par Prosper Marchand, libraire

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    A Amsterdam : chez Prosper Marchand, libraire dans le Nes, à l\u27enseigne de l\u27Etoile, 1732 Occhietto Antip. disegnata da B. Picart e incisa da van Buisen Marca calcogr., disegnata da B. Picart, sul front. stampato in rosso e nero Segnatura: π² ã¹² ē⁴ A-K¹² L⁴. Mutilo di una carta bianca (tra la num. romana e quella araba). Legatura coeva in perg. rig. Sulla cop. ant. num. ms.: 768; ripetuto sulla controg. ant. Tagli spugnati in ross

    Prosper. An evaluation of tourism's contribution to regional economies

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    Prosper has delivered a three part model for assessing and enhancing the value of tourism in regional areas. The first part of the model uses simple indicators to provide an assessment of the economic, social, and environmental value attached to tourism. An indicators approach was adopted following extensive review of the application of more complex approaches to regional economic analysis. The review found that complex approaches are unlikely to produce results of sufficient validity and applicability to warrant their high resource costs (time, money, and skills). Complex models are also more difficult to maintain. The economic value is represented through quantitative indicators relating to employment and the number of businesses in tourism related sectors. These are all relative indicators (for example, proportion of all businesses which are businesses in the tourism sector or proportion of change in employment that can be attributed to change in tourism related employment). These indicators are drawn from national data sets which provide information for statistical local areas and/or postcode areas. This offers the opportunity to develop and deliver consistent national profiles through a vehicle such as Decipher. National standard data sets are supplemented in the model by more qualitative assessments of tourism’s contribution to the local economy made by business operators through interviews or surveys. Again, tracking the change in these assessments over time is the key to the model. Social and environmental values are substantially more difficult to assess. The Prosper case studies have included qualitative assessments derived from business and community meetings, local government and other administrative documents, media and a simplified network analysis identifying the extent to which community based organisations interact with the delivery of tourism services. Data sets have been identified which would allow a quantitative analysis of the extent to which tourism activity (visitor movements, business activity, business construction) encroaches on environmentally sensitive areas or is responsible for redevelopment or preservation of built environments. The case studies have not been able to implement this quantitative analysis. The second part of the model conducts a ‘diagnostic’ assessment of the capacity in the region to harness the value of tourism through innovation. Innovation is seen as a very important mechanism for both identifying regional issues and developing responses to those issues. Innovation is widely accepted in the literature as a driver of economic growth, and concepts such as ‘systems of innovation’ and ‘regional systems of innovation’ have become common in understanding how that innovation can be encouraged and placed within technical or geographical contexts. The diagnostic element of the Prosper model uses a series of techniques (including historical document analysis, interviews, and network analysis) to investigate the characteristics of region’s human tourism resources in relation to their ‘innovation potential’. Innovation potential is influenced by: • Economic competence – the extent to which those resources include capacity to manage projects and implement new ideas; • Clustering of resources – the spatial relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Networks – the social and professional relationships between tourism attractions and amenities and nontourism amenities and resources which may be critical in the delivery of tourism product; • Development blocks – the existence of sufficient new resources or new ways of looking at existing resources to provide opportunities for innovation. Development blocks need also to be a source of tension or disequilibrium so that their use is contested and therefore options more likely to be scrutinized as to their viability; • Entrepreneurship – the capacity for human resources to engage in new tasks and drive activity; • Critical mass – the relationship between the capacity to supply tourism product, and the capacity to access sufficient and appropriate markets (including resident markets) to support ongoing supply; • Local government – the extent to which local government considers tourism an important issue and is willing to engage in the innovation process • Production and distribution of knowledge – the extent to which the history and current status of tourism is understood and communicated, and the degree to which stakeholders can access and apply new information for identifying the potential or need for change, assessing the viability of projects, and evaluating activities; • Social, political and cultural capital – the strength of the social, political and cultural environments, and the degree to which those environments can be effectively harnessed to support tourism innovation. The third part of the model uses ‘visioning’ techniques (drawing in part on experiences from Sustainable Tourism CRC projects on ‘Gold Coast Visioning’ led by Professor Bill Faulkner at Griffith University, and research by Walker, Lee, Goddard, Kelly & Pedersen, 2005) to engage stakeholders in developing strategies for identifying tourism value issues (based on the community awareness of the value of tourism, aspirations for enhancing value, and strategies for addressing deficiencies in innovation potential). A number of processes are available for applying visioning techniques. Our case studies typically involved community leaders accepting ownership of the results of the application of the first components of the model and, in a facilitated or nonfacilitated way, delivering these results broadly through the community. In some cases, strategies emerged entirely from within the region, while in others, the research team was further engaged to collate strategy suggestions and summarise the arguments attached to these suggestions. In most cases, the final case study write-up included reference to suggestions which appeared likely to be carried forward. The Prosper model was tested in thirteen case studies, not simply to establish whether the relationships hypothesized between innovation potential and harnessing the value of tourism could be observed, but also to establish to extent to which participating regions viewed the application of the model as important and worthwhile in their attempts to move forward. The case studies were a mix of five new studies conducted using the Prosper model in a direct way and meta-analysis of eight previous case studies. The short time frame for the research (2 and ½ years) and the relatively long term nature of change made it impossible to design the research to evaluate the success of the strategies developed or any specific innovations in new case studies, so the metaanalysis studies were significant in this respect. The case studies strongly supported the second part of the model in particular, and the research served as an influential tool for many of the case study communities who were able to implement programs of value monitoring (through quantitative or qualitative means), identify ways in which their systems of innovation could be strengthened, and develop context specific mechanisms for identifying and assessing the feasibility of tourism development proposals. The research has delivered a number of outputs which may be used in dissemination and commercialisation of the intellectual property. A stand-alone publication reviewing the applicability of various economic value assessment techniques to regional tourism has been produced. A quick guide to the Prosper model and assessing whether application of the model would assist a particular region has been drafted, and is slated for development in collaboration with Sustainable Tourism CRC. A detailed methodology specification has been prepared, and may be used as the basis of consulting services or the conduct of further case studies. The quantitative data sets (Census, Sensis, TTF employment analysis, labour force statistics etc.) may be made available through Decipher and included in a structured Decipher product which facilitates analysis and interpretation. A book containing research results of the thirteen case studies and an overview of the relationship between those case studies and the Prosper model has been edited by Dean Carson and Dr Jim Macbeth and has been submitted to the Sustainable Tourism CRC editorial team led by Professor Chris Cooper at the University of Queensland

    S. Prosper Aquitanus

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    PROSPER AQUITANUS (s.). Epigrammata e sententiis s. AugustiniPROSPER AQUITANUS (s.). Poema conjugis ad uxorem cum glossisNumérisation effectuée à partir d'un document de substitution.F. 1v-33v [Epigrammata] (P. L., LI, 497-532) précédé d'un accessus sur Prosper d'Aquitaine : « Iste Prosper fuit equitanicus, vir eruditissimus... » (1 et 2), et de dix vers : « Hec Agustini ex sacris epigramata dictis... » (1-1v et 2). Texte sans rubriques ni compte des chapitres. Gloses marginales et interlinéaires qui reproduisent en partie celles du ms. 2774A. Le texte commence au f. 2, le f. 1 et v° n'est que la copie de la préface, des dix vers : « Hec Agustini... » et des 15 premiers vers de l'ouvrage. F. 33v-36 [Poema conjugis ad uxorem] douteux : « Age jam precor mearum... » (C. S. E. L., XXX, 344-348) le texte suit celui des Epigrammes sans rubriques et sans transition. Gloses marginales et interlinéaires : « Hortatur uxorem suam... ». — Au f. 36v : « Finito libro isto sit laus et gloria Christo || qui scripsit scribat semper cum Domino vivat. || Vivat in celis Leonardus nomine Felix. || Explicit bactiste qui Prosper dicitur iste.

    Incident venous thromboembolic events in the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER)

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    <p>Background: Venous thromboembolic events (VTE), including deep venous thrombosis and pulmonary embolism, are common in older age. It has been suggested that statins might reduce the risk of VTE however positive results from studies of middle aged subjects may not be generalisable to elderly people. We aimed to determine the effect of pravastatin on incident VTE in older people; we also studied the impact of clinical and plasma risk variables.</p> <p>Methods: This study was an analysis of incident VTE using data from the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER), a randomized, double-blind, placebo-controlled trial of pravastatin in men and women aged 70-82. Mean follow-up was 3.2 years. Risk for VTE was examined in non-warfarin treated pravastatin (n = 2834) and placebo (n = 2865) patients using a Cox's proportional hazard model, and the impact of other risk factors assessed in a multivariate forward stepwise regression analysis. Baseline clinical characteristics, blood biochemistry and hematology variables, plasma levels of lipids and lipoproteins, and plasma markers of inflammation and adiposity were compared. Plasma markers of thrombosis and hemostasis were assessed in a nested case (n = 48) control (n = 93) study where the cohort was those participants, not on warfarin, for whom data were available.</p> <p>Results: There were 28 definite cases (1.0%) of incident VTE in the pravastatin group recipients and 20 cases (0.70%) in placebo recipients. Pravastatin did not reduce VTE in PROSPER compared to placebo [unadjusted hazard ratio (95% confidence interval) 1.42 (0.80, 2.52) p = 0.23]. Higher body mass index (BMI) [1.09 (1.02, 1.15) p = 0.0075], country [Scotland vs Netherlands 4.26 (1.00, 18.21) p = 0.050 and Ireland vs Netherlands 6.16 (1.46, 26.00) p = 0.013], lower systolic blood pressure [1.35 (1.03, 1.75) p = 0.027] and lower baseline Mini Mental State Examination (MMSE) score [1.19 (1.01, 1.41) p = 0.034] were associated with an increased risk of VTE, however only BMI, country and systolic blood pressure remained significant on multivariate analysis. In a nested case control study of definite VTE, plasma Factor VIII levels were associated with VTE [1.52 (1.01, 2.28), p = 0.044]. However no other measure of thrombosis and haemostasis was associated with increased risk of VTE.</p> <p>Conclusions: Pravastatin does not prevent VTE in elderly people at risk of vascular disease. Blood markers of haemostasis and inflammation are not strongly predictive of VTE in older age however BMI, country and lower systolic blood pressure are independently associated with VTE risk.</p&gt

    Development of an exercise intervention for the prevention of musculoskeletal shoulder problems after breast cancer treatment : the prevention of shoulder problems trial (UK PROSPER)

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    Background Musculoskeletal shoulder problems are common after breast cancer treatment. There is some evidence to suggest that early postoperative exercise is safe and may improve shoulder function. We describe the development and delivery of a complex intervention for evaluation within a randomised controlled trial (RCT), designed to target prevention of musculoskeletal shoulder problems after breast cancer surgery (The Prevention of Shoulder Problems Trial; PROSPER). Methods A pragmatic, multicentre RCT to compare the clinical and cost-effectiveness of best practice usual care versus a physiotherapy-led exercise and behavioural support intervention in women at high risk of shoulder problems after breast cancer treatment. PROSPER will recruit 350 women from approximately 15 UK centres, with follow-up at 6 and 12 months. The primary outcome is shoulder function at 12 months; secondary outcomes include postoperative pain, health related quality of life, adverse events and healthcare resource use. A multi-phased approach was used to develop the PROSPER intervention which was underpinned by existing evidence and modified for implementation after input from clinical experts and women with breast cancer. The intervention was tested and refined further after qualitative interviews with patients newly diagnosed with breast cancer; a pilot RCT was then conducted at three UK clinical centres. Discussion The PROSPER intervention incorporates three main components: shoulder-specific exercises targeting range of movement and strength; general physical activity; and behavioural strategies to encourage adherence and support exercise behaviour. The final PROSPER intervention is fully manualised with clear, documented pathways for clinical assessment, exercise prescription, use of behavioural strategies, and with guidance for treatment of postoperative complications. This paper adheres to TIDieR and CERT recommendations for the transparent, comprehensive and explicit reporting of complex interventions. Trial registration: International Standard Randomised Controlled Trial Number: ISRCTN 35358984

    OAC Prosper Soybean

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    OAC Prosper is a semi-indeterminate food-grade soybean (Glycine max [L.] Merr.) cultivar with high yield potential, high seed protein concentration, and resistance to SCN. OAC Prosper is developed and recommended for soybean growing areas in southwestern Ontario with 2950 or greater crop heat units. OAC Prosper has a relative maturity of 1.8.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
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