Economic analysis of the implementation of autologous transfusion technologies throughout England

Objectives: This study aims to provide the first estimates of the costs and effects of the large scale introduction of autologous transfusion technologies into the United Kingdom National Health Service. Methods: A model was constructed to allow disparate data sources to be combined to produce estimates of the scale, costs, and effects of introducing four interventions. The interventions considered were preparing patients for surgery (PPS) clinics, preoperative autologous donation (PAD), intraoperative cell salvage (ICS), and postoperative cell salvage (PoCS). Results: The key determinants of cost per operation are the anticipated level of reductions in blood use, the mean level of blood use, mean length of stay, and the cost of the technology. The results show the potential for considerable reductions in blood use. The greatest reductions are anticipated to be through the use of PPS and ICS. Vascular surgery, transplant surgery, and cardiothoracic surgery appear to be the specialties that will benefit most from the technologies. Conclusions: Several simplifications were used in the production of these estimates; consequently, caution should be used in their interpretation and use. Despite the drawbacks in the methods used in the study, the model shows the scale of the issue, the importance of gathering better data, and the form that data must take. Such preliminary modeling exercises are essential for rational policy development and to direct future research and discussion among stakeholders

The neural correlates of emotion regulation by implementation intentions

Several studies have investigated the neural basis of effortful emotion regulation (ER) but the neural basis of automatic ER has been less comprehensively explored. The present study investigated the neural basis of automatic ER supported by ‘implementation intentions’. 40 healthy participants underwent fMRI while viewing emotion-eliciting images and used either a previously-taught effortful ER strategy, in the form of a goal intention (e.g., try to take a detached perspective), or a more automatic ER strategy, in the form of an implementation intention (e.g., “If I see something disgusting, then I will think these are just pixels on the screen!”), to regulate their emotional response. Whereas goal intention ER strategies were associated with activation of brain areas previously reported to be involved in effortful ER (including dorsolateral prefrontal cortex), ER strategies based on an implementation intention strategy were associated with activation of right inferior frontal gyrus and ventro-parietal cortex, which may reflect the attentional control processes automatically captured by the cue for action contained within the implementation intention. Goal intentions were also associated with less effective modulation of left amygdala, supporting the increased efficacy of ER under implementation intention instructions, which showed coupling of orbitofrontal cortex and amygdala. The findings support previous behavioural studies in suggesting that forming an implementation intention enables people to enact goal-directed responses with less effort and more efficiency

Versatile spectral imaging with an algorithm-based spectrometer using highly tuneable quantum dot infrared photodetectors

We report on the implementation of an algorithm-based spectrometer capable of reconstructing the spectral shape of materials in the mid-wave infrared (MWIR) and long-wave infrared (LWIR) wavelengths using only experimental photocurrent measurements from quantum dot infrared photodetectors (QDIPs). The theory and implementation of the algorithm will be described, followed by an investigation into this algorithmic spectrometer's performance. Compared to the QDIPs utilized in an earlier implementation, the ones used here have highly varying spectral shapes and four spectral peaks across the MWIR and LWIR wavelengths. It has been found that the spectrometer is capable of reconstructing broad spectral features of a range of bandpass infrared filters between wavelengths of 4 and 12 mu m as well as identifying absorption features as narrow as 0.3 mu m in the IR spectrum of a polyethylene sheet

Enregisterment, commodification and historical context: "Geordie" versus "Sheffieldish"

This article examines a range of texts from nineteenth-century Newcastle and Sheffield, both in the north of England, to demonstrate how the urban dialects of these cities, known respectively as "Geordie" and "Sheffieldish," became enregistered in this period. Features that were actually more widespread in the north of England and in Scotland were "claimed" as unique to each of these new urban dialects, and in each case, a repertoire of features emerged that continues to be cited and indeed used by speakers and writers today, albeit often in performative contexts. The article goes on to consider how awareness of a distinct "Geordie" accent/dialect arrived much earlier and became more widespread than that of "Sheffieldish" and how this is reflected in the commodification of the former but not the latter

The Betti numbers of forests

This paper produces a recursive formula of the Betti numbers of certain Stanley-Reisner ideals (graph ideals associated to forests). This gives a purely combinatorial definition of the projective dimension of these ideals, which turns out to be a new numerical invariant of forests. Finally, we propose a possible extension of this invariant to general graphs

Perception enhancement system for automotive steering

Laboratory-based experiments were conducted to evaluate the effect of the frequency and scale of transient vibration events on the human detection of road surface type by means of steering wheel vibration. The study used steering wheel tangential direction acceleration time histories which had been measured in a mid-sized European automobile that was driven over three different types of road surface. The steering acceleration stimuli were manipulated by means of the mildly non-stationary mission synthesis (MNMS) algorithm in order to produce test stimuli which were selectively modified in terms of the number, and size, of transient vibration events they contained. Fifteen test participants were exposed to both unmanipulated and manipulated steering wheel rotational vibration stimuli, and were asked to indicate, by either “yes or no”, whether the test stimuli was from a target road surface which was displayed on a board. The findings suggested that transient vibration events play a key role in the human detection of road surface type in driving situations. Improvements of up to 20 percentage points in the rate of correct detection were achieved by means of selective manipulation of the steering vibration stimuli. The results also suggested, however, that no single setting of the MNMS algorithm proved optimal for all three road surface types that were investigated

A mapping from conceptual graphs to formal concept analysis

A straightforward mapping from Conceptual Graphs (CGs) to Formal Concept Analysis (FCA) is presented. It is shown that the benefits of FCA can be added to those of CGs, in, for example, formally reasoning about a system design. In the mapping, a formal attribute in FCA is formed by combining a CG source concept with its relation. The corresponding formal object in FCA is the corresponding CG target concept. It is described how a CG, represented by triples of the form source-concept, relation, target-concept, can be transformed into a set of binary relations of the form (target-concept, source-concept a relation) creating a formal context in FCA. An algorithm for the transformation is presented and for which there is a software implementation. The approach is compared to that of Wille. An example is given of a simple University Transaction Model (TM) scenario that demonstrates how FCA can be applied to CGs, combining the power of each in an integrated and intuitive way

Propensity to Consider Cycling for Commuting Trips

The British Government launched the National Cycling Strategy (NCS) in July 1996. The aims of this strategy are to establish a culture favourable to the increased use of bicycles for all age groups, to develop sound policies and good practice, and to seek out innovative and effective means of fostering accessibility by bicycle. The central target is to double the amount of cycle trips on 1996 figures by 2002; and double it again by 2012. It is hoped that these increases in cycle trips are as a result of people switching their current mode to bicycle. With this increased interest from national and local governments, there is likely to be increasing demand for rigorous evaluation of proposed schemes in terms of increases in levels of cycling, modal shift and, ultimately, the quantified benefits to existing and potential cyclists. Yet, in contrast to the vast amount of research which has been done on enhancing our understanding of the demand for motorised vehicles, relatively little attention has been paid to the slow modes (i.e. walk and cycle). Furthermore, most studies on existing and potential demands for cycling are qualitative rather than quantitative in nature. For instance, attitudinal factors of choosing or not choosing cycling are well documented. However, magnitudes of different factors are seldom calculated. An Economic and Social Research Council (ESRC) sponsored project entitled “Cycling and Urban Mode Choice” (Grant Number: R000237103) started in mid-1997, aiming to identify and quantify the factors that might influence people’s decision to travel to work in urban areas. The aim of this paper is to report the findings of the first stage study of this research project. The first stage study of the “Cycling and Urban Mode Choice” project was to identify and measure the proportion of the general population who would or would not consider cycling to work in urban areas. This study was based on detailed surveys (door-to-door and telephone interviews) of people’s actual mode choices on two what-if situations. The first hypothetical situation is based on provisions of cycle facilities and routes, and the second rests on drastic changes of the current situations of journey to work. Models were built on the survey data to explain people’s choices between driving car, getting a lift, bus, walk and cycle for the journey to work trips