118 research outputs found

    Regulatory factors controlling muscle mass : competition between innate immune function and anabolic signals in regulation of atrogin-1 in Atlantic salmon

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    The research was supported by an industrial PhD studentship between University of Aberdeen and by BioMar Ltd., for Z. Heidari.Peer reviewedPostprin

    Integration of Transcriptome, Gross Morphology and Histopathology in the Gill of Sea Farmed Atlantic Salmon (Salmo salar) : Lessons from Multi-site Sampling

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    Funding statement The study was supported by the Scottish Aquaculture Innovation Centre (SAIC grant SL 2017 08, ā€˜Nutritional Aspects of Gill Disease in Atlantic Salmonā€™) and co-funded by BioMar and Scottish Sea Farms (SSF). ACKNOWLEDGMENTS We thank SSF farm personnel for accommodating our research, performing gross morphology scoring and helping with sampling. Edinburgh Genomics is partly supported through core grants from NERC (R8/H10/56), MRC (MR/K001744/1), and BBSRC (BB/J004243/1). We also thank two reviewers for their comments on the earlier draft of the article. EK dedicates this paper to her late mother, Irena KrĆ³l.Peer reviewedPublisher PD

    Fundamentals of Bowel Cancer for Biomedical Engineers

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    This is the final version. Available on open access from Springer via the DOI in this recordBowel cancer is a multifactorial disease arising from a combination of genetic predisposition and environmental factors. Detection of bowel cancer and its precursor lesions is predominantly performed by either visual inspection of the colonic mucosa during endoscopy or cross-sectional imaging. Most cases are diagnosed when the cancer is already at an advanced stage. These modalities are less reliable for detecting lesions at the earliest stages, when they are typically small or flat. Removal of lesions at the earliest possible stage reduces the risk of cancer death, which is largely due to a reduced risk of subsequent metastasis. In this review, we summarised the origin of bowel cancer and the mechanism of its metastasis. In particular, we reviewed a broad spectrum of literatures covering the biomechanics of bowel cancer and its measurement techniques that are pertinent to the successful development of a bowel cancer diagnostic device. We also reviewed existing bowel cancer diagnostic techniques that are available for clinical use. Finally, we outlined current clinical needs and highlighted the potential roles of medical robotics on early bowel cancer diagnosis.Engineering and Physical Sciences Research Council (EPSRC)China Scholarship Counci

    Connecting communities: A qualitative investigation of the challenges in delivering a national social prescribing service to reduce loneliness

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    Loneliness is a global public health concern linked to a range of negative health outcomes (Cacioppo & Cacioppo, 2018. The Lancet. 391(10119), 426). Internationally, this has led to the development of a number of interventions, but these are rarely implemented or evaluated on a large scale. This paper is one of the first of its kind to describe elements of an evaluation of a largeā€scale national social prescribing scheme to reduce loneliness, deploying individual link workers to signpost people to community activities. Reporting on findings from interviews with staff (n = 25 of which 6 were repeat interviews) and volunteers (n = 9) between October 2017 and December 2018 in localities across the United Kingdom. We reflect on the complexities of the link worker role, the challenges of service delivery and the importance of community infrastructure. There was evidence that highly skilled link workers who had developed positive relationships with providers and serviceā€users were key to the success of the intervention. As well as providing an effective liaison and signposting function, successful link workers tailored the national programme to local need to proactively address specific gaps in existing service provision. For social prescribing services to be successful and sustainable, commissioners must consider additional funding of community infrastructure

    A multilingual digital mental health and wellbeing chatbot (ChatPal): pre-post multicenter intervention study

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    Background: In recent years, advances in technology have led to an influx of mental health apps, in particular the development of mental health and well-being chatbots, which have already shown promise in terms of their efficacy, availability, and accessibility. The ChatPal chatbot was developed to promote positive mental well-being among citizens living in rural areas. ChatPal is a multilingual chatbot, available in English, Scottish Gaelic, Swedish, and Finnish, containing psychoeducational content and exercises such as mindfulness and breathing, mood logging, gratitude, and thought diaries. Objective: The primary objective of this study is to evaluate a multilingual mental health and well-being chatbot (ChatPal) to establish if it has an effect on mental well-being. Secondary objectives include investigating the characteristics of individuals that showed improvements in well-being along with those with worsening well-being and applying thematic analysis to user feedback. Methods: A pre-post intervention study was conducted where participants were recruited to use the intervention (ChatPal) for a 12-week period. Recruitment took place across 5 regions: Northern Ireland, Scotland, the Republic of Ireland, Sweden, and Finland. Outcome measures included the Short Warwick-Edinburgh Mental Well-Being Scale, the World Health Organization-Five Well-Being Index, and the Satisfaction with Life Scale, which were evaluated at baseline, midpoint, and end point. Written feedback was collected from participants and subjected to qualitative analysis to identify themes. Results: A total of 348 people were recruited to the study (n=254, 73% female; n=94, 27% male) aged between 18 and 73 (mean 30) years. The well-being scores of participants improved from baseline to midpoint and from baseline to end point; however, improvement in scores was not statistically significant on the Short Warwick-Edinburgh Mental Well-Being Scale (P=.42), the World Health Organization-Five Well-Being Index (P=.52), or the Satisfaction With Life Scale (P=.81). Individuals that had improved well-being scores (n=16) interacted more with the chatbot and were significantly younger compared to those whose well-being declined over the study (P=.03). Three themes were identified from user feedback, including ā€œpositive experiences,ā€ ā€œmixed or neutral experiences,ā€ and ā€œnegative experiences.ā€ Positive experiences included enjoying exercises provided by the chatbot, while most of the mixed, neutral, or negative experiences mentioned liking the chatbot overall, but there were some barriers, such as technical or performance errors, that needed to be overcome. Conclusions: Marginal improvements in mental well-being were seen in those who used ChatPal, albeit nonsignificant. We propose that the chatbot could be used along with other service offerings to complement different digital or face-to-face services, although further research should be carried out to confirm the effectiveness of this approach. Nonetheless, this paper highlights the need for blended service offerings in mental health care.Validerad;2023;NivĆ„ 2;2023-08-09 (hanlid)</p

    ā€œArtliftā€ Arts-on-Referral Intervention in UK Primary Care: Updated findings from an ongoing observational study

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    Background: Arts for health interventions are an accepted option for medical management of mental wellbeing in health care. Updated findings are presented from a prospective longitudinal follow-up (observational) design study of an arts on referral programme in UK general practice, over a 7-year period (2009ā€“2016). Methods: Primary care process and mental wellbeing outcomes were investigated, including progress through the intervention, changes in mental wellbeing, and factors associated with those outcomes. A total of n =1297 patients were referred to an eight or 10-week intervention over a period from 2009 to 2016. Patient sociodemographic information was recorded at baseline, and patient progress (e.g. attendance) assessed throughout the intervention. Results: Of all referrals, 51.7% completed their course of prescribed art (the intervention). Of those that attended, 74.7% engaged with the intervention as rated by the artists leading the courses. A significant increase in wellbeing was observed from pre- to post-intervention (t = āˆ’19.29, df =523, P < 0.001, two-tailed) for those that completed and/or engaged. A sub sample (N =103) of these referrals self-reported multi-morbidities. These multiple health care service users were majority completers (79.6%), and were rated as having engaged (81.0%). This group also had a significant increase in well-being, although this was smaller than for the group as a whole (t = āˆ’7.38, df =68, P < 0.001). Conclusion: Findings confirm that art interventions can be effective in the promotion of well-being for those that complete, including those referred with multi-morbidity, with significant changes in wellbeing evident across the intervention periods

    Chatpal Chatbot dialogue data set

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    The scripts used in the ChatPal chatbot are freely available as an output from the ChatPal project. The datasets contain the chatbot utterances in English, Swedish, Finnish and Scottish Gaelic. Any replies collected from users through the ChatPal chatbot are not included in these data. Datasets are available in csv format and contain Unicode character encodings (UTF-8). Disclaimer: The datasets are open access, should be used appropriately and can be repurposed. However, the ChatPal project team are not responsible for how you chose to use the data or repurpose the content

    Optimum Tariffs and Exhaustible Resources: Theory and Evidence for Gasoline

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    Domestic consumption taxes on oil products largely differ across countries, ranging from very high subsidies to very high taxes. The empirical literature on the issue has highlighted the role of revenue-raising (Ramsey commodity taxation) and externalitycorrection (Pigovian taxation) motives for national taxation. Isolatedly, the theoretical literature on non-renewable-resource taxation has emphasized the role of the optimumtariff dimension of excise taxes which reflects countriesā€™ non-cooperative exercise of their market power. This paper reconciles these two strands by comprehensively addressing the issue. First, we propose a multi-country model of national taxation with oil ā€“ modeled as a polluting exhaustible resource ā€“ and some regular commodities. Domestic welfare is maximized with respect to domestic taxes under a revenue-collection constraint. The optimal domestic tax on oil consumption not only consists of a Ramsey inverse-elasticity term and of a Pigovian term, but also of an optimum-tariff component. In fact, resource exhaustibility implies a form of supply inelasticity that magnifies optimum-tariff arguments. Second, based on a multiple regression using a data set with a large number of countries, we test the power of the optimum-tariff tax component in explaining national gasoline taxes. We find strong evidence that this component plays a crucial role in countriesā€™ taxation of gasoline
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