275 resultados para Omnibus


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Rapid expansion in numbers of cloud service providers (CSPs) has resulted in the introduction of various brokering services and cloud marketplaces designed to help customers to assess and choose CSPs. The problem of evaluating marketplaces and also separate sub-offerings supplied by cloud service providers (CSPs) has become vitally important because cloud marketplaces can now incorporate sub-offerings from different CSPs into a combined package tailored for each customer. In this paper, we introduce a new concept which we refer to as a cloud omnibus system (COS) and which we define as a cloud marketing system evaluating whole cloud marketplaces, CSPs, brokers and separate service sub-offerings from CSPs (sometimes combined into packages tailored for customers). COS is based on trust and management of trust and is beyond the state-of-the-art in providing a formal trust measuring mechanism for customers by introducing three types of trust which we refer to as ‘direct’, ‘relative’ and ‘transparent’.

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BACKGROUND, AIMS AND DESIGN: The increase in mobile telephone-only households may be a source of bias for traditional landline gambling prevalence surveys. Aims were to: (1) identify Australian gambling participation and problem gambling prevalence using a dual-frame (50% landline and 50% mobile telephone) computer-assisted telephone interviewing methodology; (2) explore the predictors of sample frame and telephone status; and (3) explore the degree to which sample frame and telephone status moderate the relationships between respondent characteristics and problem gambling. SETTING AND PARTICIPANTS: A total of 2000 adult respondents residing in Australia were interviewed from March to April 2013. MEASUREMENTS: Participation in multiple gambling activities and Problem Gambling Severity Index (PGSI). FINDINGS: Estimates were: gambling participation [63.9%, 95% confidence interval (CI) = 61.4-66.3], problem gambling (0.4%, 95% CI = 0.2-0.8), moderate-risk gambling (1.9%, 95% CI = 1.3-2.6) and low-risk gambling (3.0%, 95% CI = 2.2-4.0). Relative to the landline frame, the mobile frame was more likely to gamble on horse/greyhound races [odds ratio (OR) = 1.4], casino table games (OR = 5.0), sporting events (OR = 2.2), private games (OR = 1.9) and the internet (OR = 6.5); less likely to gamble on lotteries (OR = 0.6); and more likely to gamble on five or more activities (OR = 2.4), display problem gambling (OR = 6.4) and endorse PGSI items (OR = 2.4-6.1). Only casino table gambling (OR = 2.9) and internet gambling (OR = 3.5) independently predicted mobile frame membership. Telephone status (landline frame versus mobile dual users and mobile-only users) displayed similar findings. Finally, sample frame and/or telephone status moderated the relationship between gender, relationship status, health and problem gambling (OR = 2.9-7.6). CONCLUSION: Given expected future increases in the mobile telephone-only population, best practice in population gambling research should use dual frame sampling methodologies (at least 50% landline and 50% mobile telephone) for telephone interviewing.

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This report is the third volume in ILAB’s international child labor series. It focuses on the use of child labor in the production of apparel for the U.S. market, and reviews the extent to which U.S. apparel importers have established and are implementing codes of conduct or other business guidelines prohibiting the use of child labor in the production of the clothing they sell. The report was mandated by the Omnibus Consolidated Rescissions and Appropriations Act of 1996, P.L. 104-134.

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DNA microarray, or DNA chip, is a technology that allows us to obtain the expression level of many genes in a single experiment. The fact that numerical expression values can be easily obtained gives us the possibility to use multiple statistical techniques of data analysis. In this project microarray data is obtained from Gene Expression Omnibus, the repository of National Center for Biotechnology Information (NCBI). Then, the noise is removed and data is normalized, also we use hypothesis tests to find the most relevant genes that may be involved in a disease and use machine learning methods like KNN, Random Forest or Kmeans. For performing the analysis we use Bioconductor, packages in R for the analysis of biological data, and we conduct a case study in Alzheimer disease. The complete code can be found in https://github.com/alberto-poncelas/ bioc-alzheimer

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The article presents an interpretation of the Soli Deo honor et gloria inscription from the fronton of the metropolitan cathedral of Christ the King in Katowice. The interpretation of the text depends on whether the word soli is taken as solely attributive or also as predicative. Given both the ancient and the contemporary historical and cultural contexts the former appears more plausible.