Head-to-Head: Which is the Better Cloud Platform for Early Stage Start-up? Docker versus OpenStack

The cloud platform has been the top choice when technology startup companies choose the best platforms to deploy their systems. This paper presents a series of decision procedures for choosing the Infrastructure as a Service (IaaS) in cloud computing from the perspective of technology startup companies. We target startup companies as potential users. We have developed a decision tree for assisting entrepreneurs and developers to choose the IaaS according to performance and usability of Docker versus OpenStack. We use the Yahoo! Cloud Serving Benchmark (YCSB) as a benchmark for key-value storage. The target databases include MongoDB and Cassandra. The decision assists the technology startup companies to choose the cloud platform with the best fit while developing and deploying the web services.Ope

Head-to-head comparison of prostate cancer risk calculators predicting biopsy outcome

Background: Multivariable risk calculators (RCs) predicting prostate cancer (PCa) aim to reduce unnecessary workup (e.g., MRI and biopsy) by selectively identifying those men at risk for PCa or clinically significant PCa (csPCa) (Gleason ≥7). The lack of an adequate comparison makes choosing between RCs difficult for patients, clinicians and guideline developers. We aim to perform a head-to-head comparison of seven well known RCs predicting biopsy outcome. Methods: Our study comprised 7,119 men from ten independent contemporary cohorts in Europe and Australia, who underwent prostate biopsy between 2007 and 2015. We evaluated the performance of the ERSPC RPCRC, Finne, Chun, ProstataClass, Karakiewicz, Sunnybrook, and PCPT 2.0 (HG) RCs in predicting the presence of any PCa and csPCa. Performance was assessed by discrimination, calibration and net benefit analyses. Results: A total of 3,458 (48%) PCa were detected; 1,784 (25%) men had csPCa. No particular RC stood out predicting any PCa: pooled area under the ROC-curve (AUC) ranged between 0.64 and 0.72. The ERSPC RPCRC had the highest pooled AUC 0.77 (95% CI: 0.73-0.80) when predicting csPCa. Decision curve analysis (DCA) showed limited net benefit in the detection of csPCa, but that can be improved by a simple calibration step. The main limitation is the retrospective design of the study. Conclusions: No particular RC stands out when predicting biopsy outcome on the presence of any PCa. The ERSPC RPCRC is superior in identifying those men at risk for csPCa. Net benefit analyses show that a multivariate approach before further workup is advisable.info:eu-repo/semantics/publishedVersio

Treasury’s Forecasting Performance: A Head-to-Head Comparison

Work on assessing Treasury’s forecasting performance to date has focussed on comparisons against consensus forecasts. This study compares Treasury’s GDP and CPI forecast performance against individual private sector forecasters as well as major public sector institutions such as the IMF, OECD and the Reserve Bank of New Zealand. The head-to-head comparison makes it possible to assess Treasury’s forecasting performance relative to its peers. When compared across all evaluation periods covering 1996-2005, Treasury’s GDP forecast performance was ranked in the middle at seventh out of 16. The large forecast error for the 1998 year had a material impact on Treasury’s overall forecast performance. Treasury’s CPI forecast performance was not as good, placing tenth out of 12. Large forecast errors for the 1998-2000 period accounted for the poor CPI forecast performance. Treasury’s overall forecast performance was better when evaluating only the current year Budget forecasts, placing fourth for GDP and sixth for CPI. This suggests that Treasury is better at forecasting the current year than the year ahead. Consistent with international studies, no single forecaster consistently outperforms the Consensus, with Treasury beating the Mean 30% of the time for GDP and Consensus 33% of the time for CPI. All forecasters find it difficult to pick recessions and turning points. Large forecasting groups generally have a poorer forecasting record on average.Forecast accuracy; New Zealand

Should the Quality and Outcomes Framework be abolished? No

Head to Head: Steve Gillam (doi:10.1136/bmj.c2710) argues that the general practice pay for performance scheme is not good value for money, but Niroshan Siriwardena (doi:10.1136/bmj.c2794) believes it needs to be improved not remove

Systematic Analysis of Head-to-Head Gene Organization: Evolutionary Conservation and Potential Biological Relevance

Several “head-to-head” (or “bidirectional”) gene pairs have been studied in individual experiments, but genome-wide analysis of this gene organization, especially in terms of transcriptional correlation and functional association, is still insufficient. We conducted a systematic investigation of head-to-head gene organization focusing on structural features, evolutionary conservation, expression correlation and functional association. Of the present 1,262, 1,071, and 491 head-to-head pairs identified in human, mouse, and rat genomes, respectively, pairs with 1– to 400–base pair distance between transcription start sites form the majority (62.36%, 64.15%, and 55.19% for human, mouse, and rat, respectively) of each dataset, and the largest group is always the one with a transcription start site distance of 101 to 200 base pairs. The phylogenetic analysis among Fugu, chicken, and human indicates a negative selection on the separation of head-to-head genes across vertebrate evolution, and thus the ancestral existence of this gene organization. The expression analysis shows that most of the human head-to-head genes are significantly correlated, and the correlation could be positive, negative, or alternative depending on the experimental conditions. Finally, head-to-head genes statistically tend to perform similar functions, and gene pairs associated with the significant cofunctions seem to have stronger expression correlations. The findings indicate that the head-to-head gene organization is ancient and conserved, which subjects functionally related genes to correlated transcriptional regulation and thus provides an exquisite mechanism of transcriptional regulation based on gene organization. These results have significantly expanded the knowledge about head-to-head gene organization. Supplementary materials for this study are available at http://www.scbit.org/h2h

Do Developed and Developing Countries Compete Head to Head in High Tech?

Concerns that (1) growth in developing countries could worsen the US terms of trade and (2) that increased US trade with developing countries will increase US wage inequality both implicitly reflect the assumption that goods produced in the United States and developing countries are close substitutes and that specialization is incomplete. In this paper we show on the contrary that there are distinctive patterns of international specialization and that developed and developing countries export fundamentally different products, especially those classified as high tech. Judged by export shares, the United States and developing countries specialize in quite different product categories that, for the most part, do not overlap. Moreover, even when exports are classified in the same category, there are large and systematic differences in unit values that suggest the products made by developed and developing countries are not very close substitutes-developed country products are far more sophisticated. This generalization is already recognized in the literature but it does not hold for all types of products. Export unit values of developed and developing countries of primary commodity-intensive products are typically quite similar. Unit values of standardized (low-tech) manufactured products exported by developed and developing countries are somewhat similar. By contrast, the medium- and high-tech manufactured exports of developed and developing countries differ greatly. This finding has important implications. While measures of across product specialization suggest China and other Asian economies have been moving into high-tech exports, the within-product unit value measures indicate they are doing so in the least sophisticated market segments and the gap in unit values between their exports and those of developed countries has not narrowed over time. These findings shed light on the paradoxical finding, exemplified by computers and electronics, that US-manufactured imports from developing countries are concentrated in US industries, which employ relatively high shares of skilled American workers. They help explain why America’s nonoil terms of trade have improved and suggest that recently declining relative import prices from developing countries may not produced significant wage inequality in the United States. Finally they suggest that inferring competitive trends based on trade balances in products classified as "high tech" or "advanced" can be highly misleading.Terms of Trade, Technology

Where is the supporting evidence for treating mild to moderate chronic obstructive pulmonary disease exacerbations with antibiotics? A systematic review

BACKGROUND: Randomised trials comparing different drugs head-to-head are extremely valuable for clinical decision-making. However, it is scientifically and ethically sensible to demand strong evidence that a drug is effective by showing superiority over a placebo before embarking on head-to-head comparisons of potentially ineffective drugs. Our aim was to study the evolvement of evidence from placebo-controlled and head-to-head trials on the effects of antibiotics for the treatment of mild to moderate exacerbations of chronic obstructive pulmonary disease. METHODS: We conducted a historical systematic review. Through electronic databases and hand-searches, we identified placebo-controlled and head-to-head antibiotic trials for the treatment of mild to moderate chronic obstructive pulmonary disease exacerbations. We compared the numbers of patients recruited in placebo-controlled and head-to-head trials between 1957 and 2005. Using cumulative meta-analysis of placebo-controlled trials, we determined when, if ever, placebo-controlled trials had shown convincing evidence that antibiotics are effective in preventing treatment failure in patients with mild to moderate chronic obstructive pulmonary disease exacerbations. RESULTS: The first head-to-head trial was published in 1963. It was followed by another 100 trials comparing different antibiotics in a total of 34,029 patients with mild to moderate chronic obstructive pulmonary disease exacerbations. Over time, the cumulative odds ratio in placebo-controlled trials remained inconclusive throughout with odds ratios ranging from 0.39 (95% confidence intervals 0.04-4.22) to the most recent estimate (1995) of 0.81 (95% confidence intervals 0.52-1.28, P = 0.37). CONCLUSION: Placebo-controlled trials do not support the use of antibiotics in chronic obstructive pulmonary disease patients with mild to moderate exacerbations. Conducting head-to-head trials is, therefore, scientifically and ethically questionable. This underscores the requirement to perform or study systematic reviews of placebo-controlled trials before conducting head-to-head trials