844 research outputs found

    Psychosocial predictors of dietary behaviour

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    For over two decades, epidemiological research has provided increasingly stronger evidence for a link between fruit and vegetable consumption and, cancer and heart disease. This has led health experts to recommend that people consume at least 5 servings of fruit and vegetables a day. In the UK, as in many European countries, the average consumption is approximately half the recommended level. Research has also shown that there are low levels of nutritional knowledge within the community, which might be one explanation for these low levels. The present studies examine the associations between cognitions and behaviour for intake of fruit and vegetables in two different populations, and then test the efficacy of a tailored intervention for changing eating behaviour, knowledge and attitudes in two randomised controlled studies. Two large studies were carried out in different samples of the population. The first study took place in a cancer screening setting with an older adult sample (n=1054), and showed that knowledge and attitudes were independent predictors of dietary behaviour. Data from the baseline survey were used to create a brief, personalised, tailored intervention designed to increase knowledge, improve attitudes and thereby modify behaviour. Results from the 6-week follow-up showed that the intervention was successful in improving nutritional knowledge, changing attitudes to fruit and increasing fruit and vegetable intake. Increases in intake were correlated both with increases in nutritional knowledge and positive change to attitudes. The second study was planned as a replication and extension of the first, with some improvements in measures and a more representative sample. It took place in a dental clinic setting (n=1846). Knowledge and attitudes were again shown to be independent predictors of fruit and vegetable intake, and variations in knowledge accounted for some of the demographic variations in intake. Subsequently a 3-group design was then used to test the effectiveness of the tailored intervention, comparing it this time to a general intervention and an untreated control group. The tailored intervention group produced significant changes in behaviour and knowledge compared to both the general intervention and control group, while the general intervention produced only significant increases to nutritional knowledge. The results suggest that tailored interventions can be a successful tool to use for changing knowledge and attitudes, and is more effective than a standard leaflet for everybody. Therefore it is important to consider the practicalities of using tailoring in the design of dietary interventions especially for improving fruit and vegetable intake which have previously been difficult to adjust. The two studies were limited by self-report measures of intake, and future work needs to consider incorporating some kind of objective validation. Also while medical settings proved feasible for carrying out interventions, participants were not representative of the general population, so any extrapolation to the general population must be cautious. Future research might examine setting effects for efficacy as well as feasibility. The recent developments in information technology could be used to assist future intervention studies in producing tailored interventions for larger groups of people

    Inhibition of in-stent stenosis by oral administration of bindarit in porcine coronary arteries

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    <p><b>Objective:</b> We have previously demonstrated that bindarit, a selective inhibitor of monocyte chemotactic proteins (MCPs), is effective in reducing neointimal formation in rodent models of vascular injury by reducing smooth muscle cell proliferation and migration and neointimal macrophage content, effects associated with the inhibition of MCP-1/CCL2 production. The aim of the current study was to evaluate the efficacy of bindarit on in-stent stenosis in the preclinical porcine coronary stent model.</p> <p><b>Methods and Results:</b> One or 2 bare metal stents (Multi-Link Vision, 3.5 mm) were deployed (1:1.2 oversize ratio) in the coronary arteries of 42 pigs (20 bindarit versus 22 controls). Bindarit (50 mg/kg per day) was administered orally from 2 days before stenting until the time of euthanasia at 7 and 28 days. Bindarit caused a significant reduction in neointimal area (39.4%, P<0.001, n=9 group), neointimal thickness (51%, P<0.001), stenosis area (37%, P<0.001), and inflammatory score (40%, P<0.001) compared with control animals, whereas there was no significant difference in the injury score between the 2 groups. Moreover, treatment with bindarit significantly reduced the number of proliferating cells (by 45%, P<0.05; n=6 group) and monocyte/macrophage content (by 55%, P<0.01; n=5–6 group) in stented arteries at day 7 and 28, respectively. These effects were associated with a significant (P<0.05) reduction of MCP-1 plasma levels at day 28. In vitro data showed that bindarit (10–300 micromol/L) reduced tumor necrosis factor-alpha (50 ng/mL)–induced pig coronary artery smooth muscle cell proliferation and inhibited MCP-1 production.</p> <p><b>Conclusion:</b> Our results show the efficacy of bindarit in the prevention of porcine in-stent stenosis and support further investigation for clinical application of this compound.</p&gt

    A New Deformation of W-Infinity and Applications to the Two-loop WZNW and Conformal Affine Toda Models

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    We construct a centerless W-infinity type of algebra in terms of a generator of a centerless Virasoro algebra and an abelian spin-1 current. This algebra conventionally emerges in the study of pseudo-differential operators on a circle or alternatively within KP hierarchy with Watanabe's bracket. Construction used here is based on a special deformation of the algebra w∞w_{\infty} of area preserving diffeomorphisms of a 2-manifold. We show that this deformation technique applies to the two-loop WZNW and conformal affine Toda models, establishing henceforth W∞W_{\infty} invariance of these models.Comment: 8 page

    Manganese-Enhanced Magnetic Resonance Imaging in Takotsubo Syndrome

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    Acknowledgments The authors thank the Edinburgh Imaging Facility. Sources of Funding This work and T. Singh, S. Joshi, and Drs Dweck and Newby are supported by the British Heart Foundation (grants FS/17/19/32641, CS/17/1/32445, RG/16/10/32375, RE/18/5/34216, FS/ICRF/20/26002, and FS/SCRF/21/32010). T. Singh is supported by the Medical Research Council (grant MR/T029153/1). Dr Newby is the recipient of a Wellcome Trust Senior Investigator Award (WT103782AIA). Dr McCann is supported by an NIHR Research Professorship (08-2017-ST2-007). The Edinburgh Clinical Research Facilities and Edinburgh Imaging Facility are supported by the National Health Service Research Scotland through the National Health Service Lothian Health Board.Peer reviewe

    On Two-Current Realization of KP Hierarchy

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    A simple description of the KP hierarchy and its multi-hamiltonian structure is given in terms of two Bose currents. A deformation scheme connecting various W-infinity algebras and relation between two fundamental nonlinear structures are discussed. Properties of Fa\'a di Bruno polynomials are extensively explored in this construction. Applications of our method are given for the Conformal Affine Toda model, WZNW models and discrete KP approach to Toda lattice chain.Comment: 28 pages, IFT-P/020/92-SAO-PAULO, Late

    Public Sentiment Analysis and Topic Modeling Regarding COVID-19’s Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia

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    [Abstract] The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the effects of these lockdown measures, this study performed sentiment analysis and latent Dirichlet allocation topic modeling on textual data from Twitter published during the three lockdown waves in Malaysia between 2020 and 2021. Three lockdown measures were identified, the related data for the first two weeks of each lockdown were collected and analysed to understand the public sentiment. The changes between these lockdowns were identified, and the latent topics were highlighted. Most of the public sentiment focused on the first lockdown as reflected in the large number of latent topics generated during this period. The overall sentiment for each lockdown was mostly positive, followed by neutral and then negative. Topic modelling results identified staying at home, quarantine and lockdown as the main aspects of discussion for the first lockdown, whilst importance of health measures and government efforts were the main aspects for the second and third lockdowns. Governments may utilise these findings to understand public sentiment and to formulate precautionary measures that can assure the safety of their citizens and tend to their most pressing problems. These results also highlight the importance of positive messaging during difficult times, establishing digital interventions and formulating new policies to improve the reaction of the public to emergency situations.Taiwan. Ministry of Science and Technology; 108-2511-H-224-007-MY

    Connecting Numerical Relativity and Data Analysis of Gravitational Wave Detectors

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    Gravitational waves deliver information in exquisite detail about astrophysical phenomena, among them the collision of two black holes, a system completely invisible to the eyes of electromagnetic telescopes. Models that predict gravitational wave signals from likely sources are crucial for the success of this endeavor. Modeling binary black hole sources of gravitational radiation requires solving the Eintein equations of General Relativity using powerful computer hardware and sophisticated numerical algorithms. This proceeding presents where we are in understanding ground-based gravitational waves resulting from the merger of black holes and the implications of these sources for the advent of gravitational-wave astronomy.Comment: Appeared in the Proceedings of 2014 Sant Cugat Forum on Astrophysics. Astrophysics and Space Science Proceedings, ed. C.Sopuerta (Berlin: Springer-Verlag

    Antimicrobial Potential of Plastic Films Incorporated with Sage Extract on Chicken Meat

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    The function of packaging is crucial in the maintenance of fresh meat product quality. This study aimed to assess the efficiency of six films added with coatings 2379L/220 and 2379L/221 (containing sage extracts) to inhibit Salmonella typhimurium, Staphylococcus aureus, and Escherichia coli, which showed that two of the six films had a significant effect. Additionally, the effects of the films on refrigerated skinless chicken breast meat were evaluated based on microbiological content, colour, weight loss, texture and pH. Four of the six films were examined could extend the storability of refrigerated chicken breast fillets for up to seven days. All six treated films improved the pH, colour stability, weight loss, and texture of the chicken fillets. Therefore, these findings suggested that the coatings containing sage extracts having different viscosities (2379L/220 and 2379L/221) were effective as antimicrobial adhesives in food packaging films and can be commercially applied in prolonging the storage of chicken breast meat without affecting their quality
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