A Conventional Internal Combustion Engine Versus a Range Extended Electric Vehicle Under the Current Regulatory Regime in the United Kingdom

Transport accounts for 22% of greenhouse gas emissions in the United Kingdom and cars are expected tomore than double by 2050. Car manufacturers are continually aiming for a substantially reduced carbonfootprint through improved fuel efficiency and better powertrain performance due to the strict EuropeanUnion emissions standards. However, road tax, not just fuel efficiency, is a key consideration of consumerswhen purchasing a car. While measures have been taken to reduce emissions through stricter standards, infuture, alternative technologies will be used. Electric vehicles, hybrid vehicles and range extended electricvehicles have been identified as some of these future technologies. In this research a virtual test bed of aconventional internal combustion engine and a range extended electric vehicle family saloon car were builtin AVL’s vehicle and powertrain system level simulation tool, CRUISE, to simulate the New EuropeanDrive Cycle and the results were then soft-linked to a techno-economic model to compare the effectivenessof current support mechanisms over the full life cycle of both cars. The key finding indicates that althoughcarbon emissions are substantially reduced, switching is still not financially the best option for either theconsumer or the government in the long run.

Gatekeepers to the profession: recruitment to initial teacher education in the United Kingdom

We develop a framing for research on the relationship between context, process and outcomes in recruitment to the teaching profession. We do this through a ‘home international’ comparison of policies, outcomes and recruitment processes in England, Northern Ireland, Scotland and Wales. There is plenty of movement between these countries in the graduate labour market, but the contexts for teacher supply and demand vary in terms of: (i) scale, (ii) excess supply or demand, (iii) reliance of policy on market forces or bureaucracy and (iv) beliefs of policymakers about whether teaching is a craft or a profession. Recent changes in England and Wales have highlighted the importance of recruitment to initial teacher education (ITE as a policy issue whilst also creating further points of comparison which are useful for research. We draw on trends in data on recruitment to teaching and in-depth interviews with gatekeepers to the profession in each country.

Managerial Representations of Achieving Competitive Advantage in Architectural Firms within the United Kingdom

Purpose - The purpose is to unearth managerial representations of achieving competitive advantage in relation to architectural firms operating within the United Kingdom (UK).
Design/Methodology/Approach - A sequential qualitative methodology is applied, underpinned by nine managerial interviews in five architectural practices; all of which are analysed using computer assisted qualitative data analysis software.
Findings - 108 representations are identified with highly rated concepts discussed in detail. Subsequently, the leading concepts include reputation, client satisfaction, fees and staff resources, among others.
Research Limitations/Implications - There are numerous studies conducted on this subject; however, there has been no research done to date documenting managerial representations within the UK on achieving competitive advantage in the context of architectural firms.
Practical Implications – The need for architectural firms to develop a competitive advantage within their market sector is ever more apparent, particularly during times of increased competitiveness.
Originality/Value – This paper fulfils a gap in knowledge by contributing to underlying research on the subject of competitive advantage, but focusing on the managerial representations, specifically within UK practices. The findings are of relevance to architects in both the UK and beyond, as well as perhaps forming the basis of identifying further research with the area.

Does consideration of future consequences moderate the relationship between aggression and alcohol use in adolescents? Results from the United Kingdom

Background: An increasing body of literature suggests that those who give greater consideration to the future consequences (CFC) of their present behaviours are at a reduced risk of negative health outcomes. The present study examined whether CFC moderated the relationship between four domains of aggression and alcohol use in adolescents in the United Kindgom. Methods: Participants were 1058 adolescents from Northern Ireland. Participants completed questionnaires assessing: Anger; Hostility; Verbal Aggression; Physical Aggression; Consideration of Future Consequences; and alcohol use. Results: In line with extant research males scored significantly higher than females on measures of verbal and physical aggression, with no significant gender differences observed for other dependent measures. Results also revealed that CFC moderated the relationship between aggression and alcohol use, but only for females. Conclusions: These findings add to the increasing body of literature examining the temporal-health relationship. However more work is needed to help untangle the gender-specific effects.

Teacher education in the United Kingdom post devolution: convergences and divergences

This paper examines the roles of research in teacher education across the four nations of the United Kingdom. Both devolution and on-going reviews of teacher education are facilitating a greater degree of cross-national divergence. England is becoming a distinct outlier, in which the locus for teacher education is moving increasingly away from Higher Education Institutions and towards an ever-growing number of school-based providers. While the idea of teaching as a research-based profession is increasingly evident in Scotland, Northern Ireland and Wales, it seems that England, at least in respect of the political rhetoric, recent reforms and explicit definitions, is fixed on a contrastingly divergent trajectory towards the idea of teaching as a craft-based occupation, with a concomitant emphasis on a (re)turn to the practical. It is recommended that research is urgently needed to plot these divergences and to examine their consequences for teacher education, educational research and professionalism.

Standardisation of a mental skills scale in South Africa and the United Kingdom

The contemporary science of sport and exercise psychology requires the standardisation of mental skills questionnaires to facilitate accurate assessment of and intervention for individuals and groups in various health and sport related contexts. The study presents international research findings regarding the standardisation of a Mental Skills Scale with a sample of university students (N=420) from South Africa (n=211) and the United Kingdom (n=209) respectively. Although further international and national standardisation in both English and other languages is recommended, factor and reliability analyses indicated satisfactory validity and reliability of the current English version of the scale.

Changes in the Pollen Seasons of the Early Flowering Trees Alnus spp. and Corylus spp. in Worcester United Kingdom 1996-2005

Previous work on Betula spp. (birch) in the UK and at five sites in Europe has shown that pollen seasons for this taxon have tended to become earlier by about 5–10 days per decade in most regions investigated over the last 30 years. This pattern has been linked to the trend to warmer winters and springs in recent years. However, little work has been done to investigate the changes in the pollen seasons for the early flowering trees. Several of these, such as Alnus spp. and Corylus spp., have allergens, which cross-react with those of Betula spp., and so have a priming effect on allergic people. This paper investigates pollen seasons for Alnus spp. and Corylus spp. for the years 1996–2005 at Worcester, in the West Midlands, United Kingdom. Pollen data for daily average counts were collected using a Burkard volumetric trap sited on the exposed roof of a three-storey building. The climate is western maritime. Meteorological data for daily temperatures (maximum and minimum) and rainfall were obtained from the local monitoring sites. The local area up to approximately 10 km surrounding the site is mostly level terrain with some undulating hills and valleys. The local vegetation is mixed farmland and deciduous woodland. The pollen seasons for the two taxa investigated are typically late December or early January to late March. Various ways of defining the start and end of the pollen seasons were considered for these taxa, but the most useful was the 1% method whereby the season is deemed to have started when 1% of the total catch is achieved and to have ended when 99% is reached. The cumulative catches (in grains/m3) for Alnus spp. varied from 698 (2001) to 3,467 (2004). For Corylus spp., they varied from 65 (2001) to 4,933 (2004). The start dates for Alnus spp. showed 39 days difference in the 10 years (earliest 2000 day 21, latest 1996 day 60). The end dates differed by 26 days and the length of season differed by 15 days. The last 4 years in the set had notably higher cumulative counts than the first 2, but there was no trend towards earlier starts. For Corylus spp. start days also differed by 39 days (earliest 1999 day 5, latest 1996 day 44). The end date differed by 35 days and length of season by 26 days. Cumulative counts and lengths of season showed a distinct pattern of alternative high (long) and low (short) years. There is some evidence of a synchronous pattern for Alnus spp.. These patterns show some significant correlations with temperature and rainfall through the autumn, winter and early spring, and some relationships with growth degree 4s and chill units, but the series is too short to discern trends. The analysis has provided insight to the variation in the seasons for these early flowering trees and will form a basis for future work on building predictive models for these taxa.

A 30-Day-Ahead Forecast Model for Grass Pollen in North London, United Kingdom

A 30-day ahead forecast method has been developed for grass pollen at north London. The total period of the grass pollen season is covered by eight multiple regression models, each covering a 10-day period running consecutively from 21st May to 8th August. This means that three models were used for each 30-day forecast. The forecast models were produced using grass pollen and environmental data from 1961-1999 and tested on data from 2000 and 2002. Model accuracy was judged in two ways: the number of times the forecast model was able to successfully predict the severity (relative to the 1961-1999 dataset as a whole) of grass pollen counts in each of the eight forecast periods on a scale of one to four; and the number of times the forecast model was able to predict whether grass pollen counts were higher or lower than the mean. The models achieved 62.5% accuracy in both assessment years when predicting the relative severity of grass pollen counts on a scale of one to four, which equates to six of the eight 10-day periods being forecast correctly. The models attained 87.5% and 100% accuracy in 2000 and 2002 respectively when predicting whether grass pollen counts would be higher or lower than the mean. Attempting to predict pollen counts during distinct 10-day periods throughout the grass pollen season is a novel approach. The models also employed original methodology in the use of winter averages of the North Atlantic Oscillation to forecast 10-day means of allergenic pollen counts.

Constructing a 7-day Ahead Forecast Model for Grass Pollen at North London, United Kingdom

A number of media outlets now issue medium-range (~7 day) weather forecasts on a regular basis. It is therefore logical that aerobiologists should attempt to produce medium-range forecasts for allergenic pollen that cover the same time period as the weather forecasts. The objective of this study is to construct a medium-range (< 7 day) forecast model for grass pollen at north London. The forecast models were produced using regression analysis based on grass pollen and meteorological data from 1990-1999 and tested on data from 2000 and 2002. The modelling process was improved by dividing the grass pollen season into three periods; the pre-peak, peak and post peak periods of grass pollen release. The forecast consisted of five regression models. Two simple linear regression models predicting the start and end date of the peak period, and three multiple regression models forecasting daily average grass pollen counts in the pre-peak, peak and post-peak periods. Overall the forecast models achieved 62% accuracy in 2000 and 47% in 2002, reflecting the fact that the 2002 grass pollen season was of a higher magnitude than any of the other seasons included in the analysis. This study has the potential to make a notable contribution to the field of aerobiology. Winter averages of the North Atlantic Oscillation were used to predict certain characteristics of the grass pollen season, which presents an important advance in aerobiological work. The ability to predict allergenic pollen counts for a period between five and seven days will benefit allergy sufferers. Furthermore, medium-range forecasts for allergenic pollen will be of assistance to the medical profession, including allergists planning treatment and physicians scheduling clinical trials.

Examining High Magnitude Grass Pollen Episodes at Worcester, United Kingdom, Using Back-Trajectory Analysis

Trajectory analysis is a valuable tool that has been used before in aerobiological studies, to investigate the movement of airborne pollen. This study has employed back-trajectories to examine the four highest grass pollen episodes at Worcester, during the 2001 grass pollen season. The results have shown that the highest grass pollen counts of the 2001 season were reached when air masses arrived from a westerly direction. Back-trajectory analysis has a limited value to forecasters because the method is retrospective and cannot be employed directly for forecasting. However, when used in conjunction with meteorological data this technique can be used to examine high magnitude events in order to identify conditions that lead to high pollen counts.

Characteristics of Grass Pollen Seasons in Areas of Southern Spain and the United Kingdom

Spatial and temporal variations in daily grass pollen counts and weather variables are described for two regions with different bio-geographical and climatic regimes, southern Spain and the United Kingdom. Daily average grass pollen counts are considered from six pollen-monitoring sites, three in southern Spain (Ciudad Real, Córdoba and Priego) and three in the United Kingdom (Edinburgh, Worcester and Cambridge). Analysis shows that rainfall and maximum temperatures are important factors controlling the magnitude of the grass pollen season in both southern Spain and the United Kingdom, and that the strength and direction of the influence exerted by these variables varies with geographical location and time.