'I like this interview; I get cakes and cats!':the effect of prior relationships on interview talk

Research interviews are a form of interaction jointly constructed by the interviewer and interviewee, what Silverman (2001: 104) calls 'interview-as-local-accomplishment'. From this perspective, interviews are an interpretative practice in which what is said is inextricably tied to where it is said, how it is said and, importantly, to whom it is said (Holstein and Gubrium, 2004). The relationship between interviewer and interviewee, then, is fundamental in research interviews. But what happens when the relationship between interviewer and interviewee is not only that of researcher-informant but also involves other roles such as colleague and friend? In this article we will show how prior relationships are invoked and made relevant by both parties during educational research interviews and how these prior relationships therefore contribute to the 'generation' (Baker, 2004: 163) of interview data. © 2010 The Author(s).

Data visualisation and exploration with prior knowledge

Visualising data for exploratory analysis is a major challenge in many applications. Visualisation allows scientists to gain insight into the structure and distribution of the data, for example finding common patterns and relationships between samples as well as variables. Typically, visualisation methods like principal component analysis and multi-dimensional scaling are employed. These methods are favoured because of their simplicity, but they cannot cope with missing data and it is difficult to incorporate prior knowledge about properties of the variable space into the analysis; this is particularly important in the high-dimensional, sparse datasets typical in geochemistry. In this paper we show how to utilise a block-structured correlation matrix using a modification of a well known non-linear probabilistic visualisation model, the Generative Topographic Mapping (GTM), which can cope with missing data. The block structure supports direct modelling of strongly correlated variables. We show that including prior structural information it is possible to improve both the data visualisation and the model fit. These benefits are demonstrated on artificial data as well as a real geochemical dataset used for oil exploration, where the proposed modifications improved the missing data imputation results by 3 to 13%.

Photochemical degradation of polystyrene

In this work the oxidative degradation of pure polystyrene, polybutadiene and butadiene-modified polystyrene (normally called high impact polystyrene or HIPS) have been studied using a variety of physical and chemical techniques. The changes in dynamic-mechanical properties occurring during the ultra-violet light accelerated weathering of these polymers were followed by a visco-elastometric technique (Rheovibron) in the solid phase over a wide temperature range. Selective cross-linking of the polybutadiene in high-impact polystyrene caused the depression of the low temperature damping peak (tan d) with a corresponding sharp peak in tan d at ambient temperature accompanied by an integral rise in complex modulus. During the same period of photoxidation, the hydroperoxide concentration and gel content increased rapidly, reaching a maximum before decomposing photolytically with the destruction of unsaturation and with the formation of stable oxidation products. Infra-red spectroscopy showed the formation of carbonyl and hydroxyl groups. a,ß-unsaturated carbonyl was also identified and was formed by decomposition of both allylic hydroperoxide and initial peroxidic gel by ß-scission of the graft between polybutadiene and polystyrene. With further photoxidation a more stable ether gel was formed involving the destruction of the conjugating double bond of a,ß-unsaturated carbonyl. Addition of saturated and unsaturated ketones which are potential sensitisers of photoxidation to high-impact polystyrene and polybutadiene failed to photo-initiate the oxygen absorption of the polymers. A prior thermal oxidative treatment on the other hand eliminated the auto- accelerating stage leading to linear kinetics as the concentration of thermally-produced hydroperoxide approached a maximum. Antioxidants which act by destroying hydroperoxide lengthened the induction period to rapid oxygen absorption, whilst a phenolic antioxidant behaved as a weak photo-activator initially and a retarder later. Prior photolysis of high-impact polystyrene photo-activated the unsaturated component and caused similar changes in dynamic-mechanical properties to those found during photoxidation although at a much lower rate. Polybutadiene behaves as a photo-pro-oxidant for the destruction of polystyrene in high-impact polystyrene.

An advanced thyristor valve for HVDC transmission

The development of an advanced outdoor valve requires coordinated research in the areas of light-triggered self-protecting thyristors, light triggering systems, insulation, cooling and mechanical design aspects. This thesis addresses the first two areas primarily, with a conceptual discussion of the remainder. Using the experience gained from evaluation of a prototype thyristor and computer IKdelling of turn-on behaviour, a light-triggered thyristor with immunity to damage from weak optical triggering and dv/dt triggering was designed, manufactured and evaluated. The optical turn-on process was investigated by measuring currents and voltages in the gate structure during turn-on, and this yielded insights not obtained through conventional measurement techniques. The mechanism by which the thyristor was immune to weak triggering damage is explained, and techniques for optimising the design of the gate structure are proposed. The most significant achievement, however, was the first demonstration of the feasibility of self-protection against forward recovery failure onditions. Furthermore, this was achieved without the need for complex structures or high levels of irradiation. The perfomance of the devices was limited by the inrush capability of the Zones, but it is believed that this can be improved by conventional means. A light triggering system was developed using sem~conductor lasers, and this incorporated several improvements over prior art In terms of optical performance and flexibility.

Placement year academic benefit revisited:effects of demographics, prior achievement and degree programme

Investigations of whether students taking undergraduate work placements show greater academic improvement than those who do not have shown inconsistent results. In most studies, sample sizes have been relatively small and few studies have taken into account pre-existing student differences.Here data from over 6000 students at one university over six cohorts and a range of programmes are analysed. Consistent academic benefit from placement experience, regardless of ethnicity, gender, socioeconomic background and subject is shown. However the impact of demographic factors on both achievement and on the probability of taking a placement suggests that future research should take these factors into account. The role of placements in promoting employability is contextualised as a secondary benefit to the primary goal of educating the mind in the Newman (1852) tradition. Possible causes of, and further research into, the improved academic performance identified are discussed.

Prior action execution has no effect on corticospinal facilitation during action observation

Transcranial magnetic stimulation (TMS) has been used widely in research investigating corticospinal (CS) excitability during action observation. Generally, this work has shown that observation of an action performed by others, in the absence of overt movement, modulates the excitability of the CS pathway in humans. Despite the extent of the literature exploring action observation effects, however, there has been little research to date that has compared observation with the combination of observation and execution directly. Here, we report a single-pulse TMS study that investigated whether CS excitability during action observation was modulated by actions performed by the observers prior to viewing a ball pinching action. The results showed that CS excitability during action observation increased when compared to observation of a static hand, but that there was no additional motor facilitation when participants performed the same action prior to observing it. Our findings highlight the importance of action observation and its consequences on the CS system, whilst also illustrating the limited effect of prior action execution on the CS pathway for a simple action task.

Interocular transfer of spatial adaptation is weak at low spatial frequencies

Adapting one eye to a high contrast grating reduces sensitivity to similar target gratings shown to the same eye, and also to those shown to the opposite eye. According to the textbook account, interocular transfer (IOT) of adaptation is around 60% of the within-eye effect. However, most previous studies on this were limited to using high spatial frequencies, sustained presentation, and criterion-dependent methods for assessing threshold. Here, we measure IOT across a wide range of spatiotemporal frequencies, using a criterion-free 2AFC method. We find little or no IOT at low spatial frequencies, consistent with other recent observations. At higher spatial frequencies, IOT was present, but weaker than previously reported (around 35%, on average, at 8c/deg). Across all conditions, monocular adaptation raised thresholds by around a factor of 2, and observers showed normal binocular summation, demonstrating that they were not binocularly compromised. These findings prompt a reassessment of our understanding of the binocular architecture implied by interocular adaptation. In particular, the output of monocular channels may be available to perceptual decision making at low spatial frequencies.

Efficacy of Adding 2% (w/v) Chlorhexidine Gluconate to 70% (v/v) Isopropyl Alcohol for Skin Disinfection Prior to Peripheral Venous Cannulation

We undertook a clinical trial to compare the efficacy of 2% (w/v) chlorhexidine gluconate in 70% (v/v) isopropyl alcohol with the efficacy of 70% (v/v) isopropyl alcohol alone for skin disinfection to prevent peripheral venous catheter colonization and contamination. We found that the addition of 2% chlorhexidine gluconate reduced the number of peripheral venous catheters that were colonized or contaminated. © 2008 by The Society for Healthcare Epidemiology of America. All rights reserved.

Weakly supervised joint sentiment-topic detection from text

Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes a novel probabilistic modeling framework called joint sentiment-topic (JST) model based on latent Dirichlet allocation (LDA), which detects sentiment and topic simultaneously from text. A reparameterized version of the JST model called Reverse-JST, obtained by reversing the sequence of sentiment and topic generation in the modeling process, is also studied. Although JST is equivalent to Reverse-JST without a hierarchical prior, extensive experiments show that when sentiment priors are added, JST performs consistently better than Reverse-JST. Besides, unlike supervised approaches to sentiment classification which often fail to produce satisfactory performance when shifting to other domains, the weakly supervised nature of JST makes it highly portable to other domains. This is verified by the experimental results on data sets from five different domains where the JST model even outperforms existing semi-supervised approaches in some of the data sets despite using no labeled documents. Moreover, the topics and topic sentiment detected by JST are indeed coherent and informative. We hypothesize that the JST model can readily meet the demand of large-scale sentiment analysis from the web in an open-ended fashion.

Incorporating sentiment prior knowledge for weakly supervised sentiment analysis

This article presents two novel approaches for incorporating sentiment prior knowledge into the topic model for weakly supervised sentiment analysis where sentiment labels are considered as topics. One is by modifying the Dirichlet prior for topic-word distribution (LDA-DP), the other is by augmenting the model objective function through adding terms that express preferences on expectations of sentiment labels of the lexicon words using generalized expectation criteria (LDA-GE). We conducted extensive experiments on English movie review data and multi-domain sentiment dataset as well as Chinese product reviews about mobile phones, digital cameras, MP3 players, and monitors. The results show that while both LDA-DP and LDAGE perform comparably to existing weakly supervised sentiment classification algorithms, they are much simpler and computationally efficient, rendering themmore suitable for online and real-time sentiment classification on the Web. We observed that LDA-GE is more effective than LDA-DP, suggesting that it should be preferred when considering employing the topic model for sentiment analysis. Moreover, both models are able to extract highly domain-salient polarity words from text.

The economic impact of high growth start-ups:understanding the challenge for policy in the UK

Objectives The creation of more high-growth firms continues to be a key component of enterprise policy throughout the countries of the OECD. In the UK the developing enterprise policy framework highlights the importance of supporting businesses with growth potential. The difficulty, of course, is the ability of those delivering business support policies to accurately identify those businesses, especially at start-up, which will benefit from interventions and experiences an enhanced growth performance. This paper has a core objective of presenting new data on the number of high growth firms in the UK and providing an assessment of their economic significance. Approach This paper uses a specially created longitudinal firm-level database based on the Inter-Departmental Business Register (IDBR) held by the Office of National Statistics (ONS) for all private sector businesses in the UK for the period 1997-2008 to investigate the share of high-growth firms (including a sub-set of start-up more commonly referred to as gazelles) in successive cohorts of start-ups. We apply OECD definitions of high growth and gazelles to this database and are able to quantify for the first time their number (disaggregated by sector, region, size) and importance (employment and sales). Prior Work However, what is lacking at the core of this policy focus is any comprehensive statistical analysis of the scale and nature of high-growth firms in cohorts of new and established businesses. The evidence base in response to the question “Why do high-growth firms matter?” is surprisingly weak. Important work in this area has been initiated by Bartelsman et al., (2003),Hoffman and Jünge (2006) and Henreksen and Johansson (2009) but to date work in the UK has been limited (BERR, 2008b). Results We report that there are ~11,500 high growth firms in the UK in both 2005 and 2008. The share of high growth start-ups in the UK in 2005 (6.3%) was, contrary to the widely held perception in policy circles, higher than in the United States (5.2%). Of particular interest in the analysis are the growth trajectories (pattern of growth) of these firms as well as the extent to which they are restricted to technology-based or knowledge-based sectors. Implications and Value Using hitherto unused population data for the first time we have answered a fundamental research and policy question on the number and scale of high growth firms in the UK. We draw the conclusion that this ‘rare’ event does not readily lend itself to policy intervention on the grounds that the significant effort needed to identify such businesses ex ante would appear unjustified even if it was possible.

The effects of prior moves on job relocation stress

This study examines the relationship between the number of prior moves, time living in an area and psychological reactions of employees undergoing job relocation. Relocating employees from a single organization completed questionnaires on average six weeks before and 10 weeks after their move. Results show that the greater the number of prior moves the lower was the reported stress following the move. However, the relationship between number of prior moves and well-being also followed a quadratic trend such that those with few and those with many prior moves reported the greatest stress. Furthermore, the longer the relocator had lived in the area prior to moving, the greater was the general stress and the job-related anxiety and depression following the move.

Professional standards research:job satisfaction and innovation

Job satisfaction is a significant predictor of organisational innovation – especially where employees (including shop-floor workers) experience variety in their jobs and work in a single-status environment. The relationship between job satisfaction and performance has long intrigued work psychologists. The idea that "happy workers are productive workers" underpins many theories of performance, leadership, reward and job design. But contrary to popular belief, the relationship between job satisfaction and performance at individual level has been shown to be relatively weak. Research investigating the link between job satisfaction and creativity (the antecedent to innovation) shows that job dissatisfaction promotes creative outcomes. The logic is that those who are dissatisfied (and have decided to stay with the organisation) are determined to change things and have little to lose in doing so (see JM George & J Zhou, 2002). We were therefore surprised to find in the course of our own research into managerial practices and employee attitudes in manufacturing organisations that job satisfaction was a highly significant predictor of product and technological innovation. These results held even though the research was conducted longitudinally, over two years, while controlling for prior innovation. In other words, job satisfaction was a stronger predictor of innovation than any pre-existing orientation organisations had towards working innovatively. Using prior innovation as a control variable, as well as a longitudinal research design, strengthened our case against the argument that people are satisfied because they belong to a highly innovative organisation. We found that the relationship between job satisfaction and innovation was stronger still where organisations showed that they were committed to promoting job variety, especially at shop-floor level. We developed precise instruments to measure innovation, taking into account the magnitude of the innovation both in terms of the number of people involved in its implementation, and how new and different it was. Using this instrument, we are able to give each organisation in our sample a "score" from one to seven for innovation in areas ranging from administration to production technology. We found that much innovation is incremental, involving relatively minor improvements, rather than major change. To achieve sustained innovation, organisations have to draw on the skills and knowledge of employees at all levels. We also measured job satisfaction at organisational level, constructing a mean "job satisfaction" score for all organisations in our sample, and drawing only on those companies whose employees tended to respond in a similar manner to the questions they were asked. We argue that where most of the workforce experience job satisfaction, employees are more likely to collaborate, to share ideas and aim for high standards because people are keen to sustain their positive feelings. Job variety and single-status arrangements further strengthen the relationship between satisfaction and performance. This makes sense; where employees experience variety, they are exposed to new and different ideas and, provided they feel positive about their jobs, are likely to be willing to try to apply these ideas to improve their jobs. Similarly, staff working in single-status environments where hierarchical barriers are reduced are likely to feel trusted and valued by management and there is evidence (see G Jones & J George, 1998) that people work collaboratively and constructively with those they trust. Our study suggests that there is a strong business case for promoting employee job satisfaction. Managers and HR practitioners need to ensure their strategies and practices support and sustain job satisfaction among their workforces to encourage constructive, collaborative and creative working. It is more important than ever for organisations to respond rapidly to demands of the external environment. This study shows the positive association between organisational-level job satisfaction and innovation. So if a happy workforce is the key to unlocking innovation and organisations want to thrive in the global economy, it is vital that managers and HR practitioners pay close attention to employee perceptions of the work environment. In a world where the most innovative survive it could make all the difference.

Duality of weak and strong scatterer in a Luttinger liquid coupled to massless bosons

We study electronic transport in a Luttinger liquid with an embedded impurity, which is either a weak scatterer (WS) or a weak link (WL), when interacting electrons are coupled to one-dimensional massless bosons (e.g., acoustic phonons). We find that the duality relation, ?WS?WL=1, between scaling dimensions of the electron backscattering in the WS and WL limits, established for the standard Luttinger liquid, holds in the presence of the additional coupling for an arbitrary fixed strength of boson scattering from the impurity. This means that at low temperatures such a system remains either an ideal insulator or an ideal metal, regardless of the scattering strength. On the other hand, when fermion and boson scattering from the impurity are correlated, the system has a rich phase diagram that includes a metal-insulator transition at some intermediate values of the scattering.