2,479 research outputs found
Drug Abuse in the Hospitality Industry
Drug and alcohol abuse in the hospitality industry is an ongoing problem, reflective of business as a whole. A series of surveys were conducted at national drug rehabilitation centers seeking information from patients currently or formerly employed in the hotel and restaurant industry. The author identifies a number of problem indicators and makes recommendations relevant to resolutions
Poles Apart? EU Enlargement and the Labour Market Outcomes of immigrants in the UK
The UK was one of only three countries to allow migrants from accession countries to enter their labour markets more or less without restriction following EU enlargement in May 2004. Therefore, it is important to establish the characteristics and labour market performance of migrants from these countries who have subsequently entered the UK. We principally analyse Labour Force Survey data to compare the labour market outcomes of recent migrants from Poland and other accession countries to those of earlier migrant cohorts from these countries as well as to those of other recent migrants to the UK. We find that the majority of post-enlargement migrants from accession countries have found employment in low paying jobs, despite some (especially Poles) having relatively high levels of education. It follows that recent Polish migrants typically have lower returns to their education than other recent arrivals. Migrants from the new entrants who arrived immediately prior to enlargement possess similar characteristics and labour market outcomes, apart from having a higher propensity to be self-employed. These results are discussed in the context of policy changes, migration strategies, assimilation effects and possible impacts on the sending countries.Migration, EU Enlargement, Labour Market Outcomes
A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability?
Predictability estimates of ensemble prediction systems are uncertain due to
limited numbers of past forecasts and observations. To account for such
uncertainty, this paper proposes a Bayesian inferential framework that provides
a simple 6-parameter representation of ensemble forecasting systems and the
corresponding observations. The framework is probabilistic, and thus allows for
quantifying uncertainty in predictability measures such as correlation skill
and signal-to-noise ratios. It also provides a natural way to produce
recalibrated probabilistic predictions from uncalibrated ensembles forecasts.
The framework is used to address important questions concerning the skill of
winter hindcasts of the North Atlantic Oscillation for 1992-2011 issued by the
Met Office GloSea5 climate prediction system. Although there is much
uncertainty in the correlation between ensemble mean and observations, there is
strong evidence of skill: the 95% credible interval of the correlation
coefficient of [0.19,0.68] does not overlap zero. There is also strong evidence
that the forecasts are not exchangeable with the observations: With over 99%
certainty, the signal-to-noise ratio of the forecasts is smaller than the
signal-to-noise ratio of the observations, which suggests that raw forecasts
should not be taken as representative scenarios of the observations. Forecast
recalibration is thus required, which can be coherently addressed within the
proposed framework.Comment: 36 pages, 10 figure
We are Designers Because We Can Abstract
Organised by: Cranfield UniversityDue to the increasing systems complexity, architecture design became an important issue. It gained
interest and its importance was framed in three domains: as a way to understand complex systems, to
design them, to manage their manufacturing process and to provide long-term rationality. The purpose of
this paper is, firstly, to survey the existing definition approaches on architecture. Secondly, we propose a
model for architecture design which articulates the potential linkage between two principle concepts:
synthesis and abstraction. Our proposal model focuses on abstraction concept and permits an effective
top-down design approach. It helps also designers to more respond to issues that characterize architecture
design.Mori Seiki – The Machine Tool Compan
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