2,048 research outputs found

    Transforming Data into Knowledge

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    Hans Selye, the first major researcher of stress coined the word ‘stress’ in 1936 and defined it as “a non-specific response of the body to any demand for change”. Selye (1974) is of the view that stress is a facet of life which human beings cannot avoid. In fact he confidently declares that “total freedom from stress is death” Selye (1976) stated that stress in moderate levels enhances function. Kaplan and Sadock (2000) in their study on students also found out that moderate stress among students enhances learning ability. Pfeiffer (2001) emphasizes that stress helps students to peak their performance. However, stressors become a problem when they are excessive and tend to decrease the function of the individual

    Addressing patient treatment preferences at trial recruitment.

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    RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

    A comparison of multiple regression computer programs and their usefulness in analysis of variance

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    This research will examine the multiple regression programs from major statistical packages and document for each the statistical procedure used, the cost, the difficulty of use, and the output. Each program will be utilized for analyses of variance in balanced and unbalanced designs with an interest in determining the accuracy of and the statistical techniques employed by each package. The regression procedures, while using dummy variables, are superior to the ANOVA subroutines for the solution to ANOVA. All four packages studied have regression programs that can be used in an unbalanced ANOVA. The REGR procedure in SAS is best for the standard form of regression, while SPSS and BMD are best for stepwise regression. All packages have the limitation of not giving all types of correct analyses. Therefore, Appendix 4 gives an ANOVA program written for the Programming Language One Optimizing Compiler for a two factor design that will give five correct analyses

    The Politics of Service Delivery Reform

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    This article identifies the leaders, the supporters and the resisters of public service reform. It adopts a principal–agent framework, comparing reality with an ‘ideal’ situation in which citizens are the principals over political policy-makers as their agents, and policy-makers are the principals over public service officials as their agents. Reform in most developing countries is complicated by an additional set of external actors — international financial institutions and donors. In practice, international agencies and core government officials usually act as the ‘principals’ in the determination of reforms. The analysis identifies the interests involved in reform, indicating how the balance between them is affected by institutional and sectoral factors. Organizational reforms, particularly in the social sectors, present greater difficulties than first generation economic policy reforms

    Guidelines on the use of Structure from Motion Photogrammetry in Geomorphic Research

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    As a topographic modelling technique, structure-from-motion (SfM) photogrammetry combines the utility of digital photogrammetry with a flexibility and ease of use derived from multi-view computer vision methods. In conjunction with the rapidly increasing availability of imagery, particularly from unmanned aerial vehicles, SfM photogrammetry represents a powerful tool for geomorphological research. However, to fully realize this potential, its application must be carefully underpinned by photogrammetric considerations, surveys should be reported in sufficient detail to be repeatable (if practical) and results appropriately assessed to understand fully the potential errors involved. To deliver these goals, robust survey and reporting must be supported through (i) using appropriate survey design, (ii) applying suitable statistics to identify systematic error (bias) and to estimate precision within results, and (iii) propagating uncertainty estimates into the final data products

    Guidelines on the use of Structure from Motion Photogrammetry in Geomorphic Research

    Get PDF
    As a topographic modelling technique, structure-from-motion (SfM) photogrammetry combines the utility of digital photogrammetry with a flexibility and ease of use derived from multi-view computer vision methods. In conjunction with the rapidly increasing availability of imagery, particularly from unmanned aerial vehicles, SfM photogrammetry represents a powerful tool for geomorphological research. However, to fully realize this potential, its application must be carefully underpinned by photogrammetric considerations, surveys should be reported in sufficient detail to be repeatable (if practical) and results appropriately assessed to understand fully the potential errors involved. To deliver these goals, robust survey and reporting must be supported through (i) using appropriate survey design, (ii) applying suitable statistics to identify systematic error (bias) and to estimate precision within results, and (iii) propagating uncertainty estimates into the final data products

    Precision Nutrition and the Microbiome, Part I: Current State of the Science

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    peer-reviewedThe gut microbiota is a highly complex community which evolves and adapts to its host over a lifetime. It has been described as a virtual organ owing to the myriad of functions it performs, including the production of bioactive metabolites, regulation of immunity, energy homeostasis and protection against pathogens. These activities are dependent on the quantity and quality of the microbiota alongside its metabolic potential, which are dictated by a number of factors, including diet and host genetics. In this regard, the gut microbiome is malleable and varies significantly from host to host. These two features render the gut microbiome a candidate ‘organ’ for the possibility of precision microbiomics—the use of the gut microbiome as a biomarker to predict responsiveness to specific dietary constituents to generate precision diets and interventions for optimal health. With this in mind, this two-part review investigates the current state of the science in terms of the influence of diet and specific dietary components on the gut microbiota and subsequent consequences for health status, along with opportunities to modulate the microbiota for improved health and the potential of the microbiome as a biomarker to predict responsiveness to dietary components. In particular, in Part I, we examine the development of the microbiota from birth and its role in health. We investigate the consequences of poor-quality diet in relation to infection and inflammation and discuss diet-derived microbial metabolites which negatively impact health. We look at the role of diet in shaping the microbiome and the influence of specific dietary components, namely protein, fat and carbohydrates, on gut microbiota composition
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