126 resultados para additive technologies,


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‘Citizen participation’ includes various participatory techniques and is frequently viewed as an unproblematic and important social good when used as part of the regulation of the innovation and implementation of science and technology. This is perhaps especially evident in debates around ‘anticipatory governance’ or ‘upstream engagement’. Here, we interrogate this thesis using the example of the European Union’s regulation of emerging health technologies (such as nanotechnology). In this case, citizen participation in regulatory debate is concerned with innovative objects for medical application that are considered to be emergent or not yet concrete. Through synthesising insights from law, regulatory studies, critical theory, and science and technology studies (STS), we seek to cast new light on the promises, paradoxes and pitfalls of citizen participation as a tool or technology of regulation in itself. As such we aim to generate a new vantage point from which to view the values and sociotechnical imaginaries that are both ‘designed-in’ and ‘designed-out’ of citizen participation. In so doing, we show not only how publics (do not) regulate technologies, but also how citizens themselves are regulated through the techniques of participation. © The Author [2012].

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The brief for this chapter is to determine the defining features of the relationships between European Union law and new health technologies, by reference to risk, ethics, rights, and markets.

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Maps the research agenda that underpinned the edited collection 'European Law and New Health Technologies', that this pieces introduces.

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End of award report for the funded research seminar series of the same name.

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Health is a matter of fundamental importance in European societies, both as a human right in itself, and as a factor in a productive workforce and therefore a healthy economy. New health technologies promise improved quality of life for patients suffering from a range of diseases, and the potential for the prevention of incidence of disease in the future. At the same time, new health technologies pose significant challenges for governments, particularly in relation to ensuring the technologies are safe, effective, and provide appropriate value for (public) money.

To guard against the possible dangers arising from new health technologies, and to maximize the benefits, all European governments regulate their development, marketing, and public financing. In addition, several international institutions operating at European level, in particular the European Union, the Council of Europe, and the European Patent Office, have become involved in the regulation of new health technologies. They have done so both through traditional 'command and control' legal measures, and through other regulatory mechanisms, including guidelines, soft law, 'steering' through redistribution of resources, and private or quasi-private regulation.

This collection analyses European law and its relationships with new health technologies. It uses interdisciplinary insights, particularly from law but also drawing on regulation theory, and science and technology studies, to shed new light on some of the key defining features of the relationships and especially the roles of risk, rights, ethics, and markets. The collection explores the way in which European law's engagement with new health technologies is to be legitimized, and discusses the implications for biological or biomedical citizenship.

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This special issue seeks to draw attention to the relations between new technologies and European law (encompassing EU law and the law of the Council of Europe and its institutions), and some of the implications for citizens.

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Extended review.

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Chapter eleven on Mm-wave broadband wireless systems and enabling MMIC technologies, is contributed by Jian Zhang, Mury Thian, Guochi Huang, George Goussetis and Vincent F. Fusco, from Queen's University Belfast, UK. Millimeter wave bands provide large available bandwidths for high data rate wireless communication systems, which are envisaged to shift data throughput well in the GBps range. This capability has over past few years driven rapid developments in the technology underpinning broadband wireless systems as well as in the standardisation activity from various non-governmental consortia and the band allocation from spectrum regulators globally. This chapter provides an overview of the recent developments on V-band broadband wireless systems with the emphasis placed on enabling MMIC technologies. An overview of the key applications and available standards is presented. System-level architectures for broadband wireless applications are being reviewed. Examples of analysis, design and testing on MMIC components in SiGe BiCMOS are presented and the outlook of the technology is discussed.

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The R-matrix method when applied to the study of intermediate energy electron scattering by the hydrogen atom gives rise to a large number of two electron integrals between numerical basis functions. Each integral is evaluated independently of the others, thereby rendering this a prime candidate for a parallel implementation. In this paper, we present a parallel implementation of this routine which uses a Graphical Processing Unit as a co-processor, giving a speedup of approximately 20 times when compared with a sequential version. We briefly consider properties of this calculation which make a GPU implementation appropriate with a view to identifying other calculations which might similarly benet.

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Emotion research has long been dominated by the “standard method” of displaying posed or acted static images of facial expressions of emotion. While this method has been useful it is unable to investigate the dynamic nature of emotion expression. Although continuous self-report traces have enabled the measurement of dynamic expressions of emotion, a consensus has not been reached on the correct statistical techniques that permit inferences to be made with such measures. We propose Generalized Additive Models and Generalized Additive Mixed Models as techniques that can account for the dynamic nature of such continuous measures. These models allow us to hold constant shared components of responses that are due to perceived emotion across time, while enabling inference concerning linear differences between groups. The mixed model GAMM approach is preferred as it can account for autocorrelation in time series data and allows emotion decoding participants to be modelled as random effects. To increase confidence in linear differences we assess the methods that address interactions between categorical variables and dynamic changes over time. In addition we provide comments on the use of Generalized Additive Models to assess the effect size of shared perceived emotion and discuss sample sizes. Finally we address additional uses, the inference of feature detection, continuous variable interactions, and measurement of ambiguity.