877 research outputs found

    Comeback from Failure

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    John 21:1-2

    Wheat bran cereal, human gut bacteria and subjective wellbeing

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    Research has shown that consumption of high fiber breakfast cereal is associated with improved subjective well-being, especially increased energy. One possible explanation of these results is through metabolism by gut bacteria and concomitant production of metabolites that influence psychological and gastrointestinal (GI) welfare. This was examined in the present study to determine whether consumption of wheat bran could modulate the composition of the GI microbiota. This human volunteer study (20 volunteers) involved the comparison of three breakfast cereals, All-Bran, Bran Flakes and Cornflakes (60 g/d). The study involved a 14-day baseline phase (no breakfast cereals) and an eight-week experimental phase. Each cereal was consumed for 14 days. A seven-day washout period (no cereals) was carried out between each successive cereal condition. Faecal samples were collected every seven days. Enumeration of predominant faecal bacterial populations (bacteroides, bifidobacteria, clostridia, lactobacilli and eubacteria) was carried out using the culture independent fluorescent in situ hybridisation (FISH) technique. Faecal short chain fatty acid content was also determined. The volunteers completed a battery of questionnaires to assess fatigue/energy, subjective mood, physical and mental health, bowel function and fiber intake. The results showed that in general there was no overall significant effect of breakfast cereal type on the faecal bacterial populations studied. There was also no major effect of breakfast type on short chain fatty acid content. The high-fiber conditions (All-Bran and Bran Flakes) were associated with less fatigue, a significant reduction in cognitive difficulties, looser stools, more motions and feeling more energised

    Whitaker Wright

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    Fraud is a significant problem for contemporary businesses, but it is not a new problem. Business fraud was common during the 1890s. This paper examines several accounting issues that were central to Whitaker Wright\u27s trial

    Prebiotics modulate the effects of antibiotics on gut microbial diversity and functioning in vitro

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    Intestinal bacteria carry out many fundamental roles, such as the fermentation of non-digestible dietary carbohydrates to produce short chain fatty acids (SCFAs), which can affect host energy levels and gut hormone regulation. Understanding how to manage this ecosystem to improve human health is an important but challenging goal. Antibiotics are the front line of defence against pathogens, but in turn they have adverse effects on indigenous microbial diversity and function. Here, we have investigated whether dietary supplementation—another method used to modulate gut composition and function—could be used to ameliorate the side effects of antibiotics. We perturbed gut bacterial communities with gentamicin and ampicillin in anaerobic batch cultures in vitro. Cultures were supplemented with either pectin (a non-fermentable fibre), inulin (a commonly used prebiotic that promotes the growth of beneficial bacteria) or neither. Although antibiotics often negated the beneficial effects of dietary supplementation, in some treatment combinations, notably ampicillin and inulin, dietary supplementation ameliorated the effects of antibiotics. There is therefore potential for using supplements to lessen the adverse effects of antibiotics. Further knowledge of such mechanisms could lead to better therapeutic manipulation of the human gut microbiota

    New model diagnostics for spatio-temporal systems in epidemiology and ecology

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    A cardinal challenge in epidemiological and ecological modelling is to develop effective and easily deployed tools for model assessment. The availability of such methods would greatly improve understanding, prediction and management of disease and ecosystems. Conventional Bayesian model assessment tools such as Bayes factors and the deviance information criterion (DIC) are natural candidates but suffer from important limitations because of their sensitivity and complexity. Posterior predictive checks, which use summary statistics of the observed process simulated from competing models, can provide a measure of model fit but appropriate statistics can be difficult to identify. Here, we develop a novel approach for diagnosing mis-specifications of a general spatio-temporal transmission model by embedding classical ideas within a Bayesian analysis. Specifically, by proposing suitably designed non-centred parametrization schemes, we construct latent residuals whose sampling properties are known given the model specification and which can be used to measure overall fit and to elicit evidence of the nature of mis-specifications of spatial and temporal processes included in the model. This model assessment approach can readily be implemented as an addendum to standard estimation algorithms for sampling from the posterior distributions, for example Markov chain Monte Carlo. The proposed methodology is first tested using simulated data and subsequently applied to data describing the spread of Heracleum mantegazzianum (giant hogweed) across Great Britain over a 30-year period. The proposed methods are compared with alternative techniques including posterior predictive checking and the DIC. Results show that the proposed diagnostic tools are effective in assessing competing stochastic spatio-temporal transmission models and may offer improvements in power to detect model mis-specifications. Moreover, the latent-residual framework introduced here extends readily to a broad range of ecological and epidemiological models

    Creating Relevancy in Agricultural Science Information: Examining the Impact of Motivational Salience, Involvement and Pre-Existing Attitudes on Visual Attention to Scientific Information

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    Agricultural communications literature has indicated scientists are struggling to make information salient to consumers. Prior studies have examined the efficacy of message frames and types of appeals that increase visual attention and information processing among general consumers. Research suggests that value-oriented frames may connect with consumers through increased personal involvement and motivational salience. To evaluate the effects of competing message frames on visual attention, an eye-tracking experiment was conducted to understand the interaction between pre-existing attitudes and issue involvement on participants’ attention to messages about genetic modification and antibiotic use in livestock. For products that are low in issue involvement (i.e., food products and scientific information), the results indicated the reader devoted more time to reading advertisements that were framed to be more motivationally salient (i.e., the value-oriented frame). Because selective attention is the first part in the sequence of how individuals process information and form attitudes, agricultural science communicators should highlight values and motivational salience in their messaging. Recommendations for practitioners and the use of eye tracking as a research tool are described
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