6 resultados para Merchant mariners

em Aston University Research Archive


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During the second half of the nineteenth century, a German business community of about one hundred merchants and commercial clerks developed in Glasgow. Their trade networks extended not only to Germany but also to other world markets. The main arguments and findings of the microhistorical analysis include: numbers were significantly higher than previously assumed; endogenous recruitment based on ethnic and family ties was prevalent; migrants benefited from their migration-induced social capital (training, languages, intercultural competence) to fill a skills-gap in Britain; labour market competition at the junior career level was less pronounced than contemporaneous assessments suggested; naturalisation was taken out for purely pragmatic reasons; there was a sense of community at intra-ethnic level, but also with the local business elite. The case study is embedded into the larger context of Anglo-German economic relations and globalisation. A purely local perspective does not suffice to do justice to the wider significance of expatriate business communities in an age of economic globalisation.

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Manipulating, or "managing," reported earnings is a temptation faced by every accountant and corporation around the world. This study investigates whether national culture influences perceptions of the acceptability of earnings management. Participants from eight countries evaluated 13 vignettes describing various earnings management practices (Merchant & Rockness, 1994). Our results demonstrate considerable variation in perceptions across nations to the earnings management scenarios, providing strong evidence that the practice of earnings management was not perceived similarly in all countries. Using Hofstede’s (1991) cultural indices, we find that the differences in aggregate perceptions across countries were not closely associated with any of the cultural dimensions examined. We do, however, find that perceptions of earnings manipulations involving the timing of operating decisions were associated with both the Power Distance Index and the Masculinity Index.

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Aims - Preterm infants are deprived of the normal intra-uterine exposure to maternal melatonin and may benefit from replacement therapy. We conducted a pharmacokinetic study to guide potential therapeutic trials. Methods - Melatonin was administered to 18 preterm infants in doses ranging from 0.04–0.6 μg kg−1 over 0.5–6 h. Pharmacokinetic profiles were analyzed individually and by population methods. Results - Baseline melatonin was largely undetectable. Infants receiving melatonin at 0.1 μg kg−1 h−1 for 2 h showed a median half-life of 15.82 h and median maximum plasma concentration of 203.3 pg ml−1. On population pharmacokinetics, clearance was 0.045 l h−1, volume of distribution 1.098 l and elimination half-life 16.91 h with gender (P = 0.047) and race (P < 0.0001) as significant covariates. Conclusions - A 2 h infusion of 0.1 μg kg−1 h−1 increased blood melatonin from undetectable to approximately peak adult concentrations. Slow clearance makes replacement of a typical maternal circadian rhythm problematic. The pharmacokinetic profile of melatonin in preterm infants differs from that of adults so dosage of melatonin for preterm infants cannot be extrapolated from adult studies. Data from this study can be used to guide therapeutic clinical trials of melatonin in preterm infants.

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Professor Jonathan Gibson MB BS MD FRCSEd, FRCOphth (1966-1971) is a Consultant Ophthalmic Surgeon for the Heart of England NHS Trust, Birmingham and a Professor of Ophthalmology at the University of Aston. He looks back at his time at Merchant Taylors’ and his career.

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Product recommender systems are often deployed by e-commerce websites to improve user experience and increase sales. However, recommendation is limited by the product information hosted in those e-commerce sites and is only triggered when users are performing e-commerce activities. In this paper, we develop a novel product recommender system called METIS, a MErchanT Intelligence recommender System, which detects users' purchase intents from their microblogs in near real-time and makes product recommendation based on matching the users' demographic information extracted from their public profiles with product demographics learned from microblogs and online reviews. METIS distinguishes itself from traditional product recommender systems in the following aspects: 1) METIS was developed based on a microblogging service platform. As such, it is not limited by the information available in any specific e-commerce website. In addition, METIS is able to track users' purchase intents in near real-time and make recommendations accordingly. 2) In METIS, product recommendation is framed as a learning to rank problem. Users' characteristics extracted from their public profiles in microblogs and products' demographics learned from both online product reviews and microblogs are fed into learning to rank algorithms for product recommendation. We have evaluated our system in a large dataset crawled from Sina Weibo. The experimental results have verified the feasibility and effectiveness of our system. We have also made a demo version of our system publicly available and have implemented a live system which allows registered users to receive recommendations in real time. © 2014 ACM.