Le soin du monde : incursions anthropologiques dans le Pan-African e-Network Project

Cette thèse enquête sur l’émergence d’espaces de soin à l’ère de la mondialisation numérique. Elle s’articule autour d’incursions au sein du Pan-African e Network Project (PAN), un réseau de cybersanté par l’entremise duquel des hôpitaux tertiaires situés en Inde offrent des services de téléconsultations et de formation médicale à des centres de santé africains. Des incursions sur la piste d’un projet en constante mutation, pour en saisir la polyvalence ontologique, la pertinence politique, la valeur thérapeutique. Le PAN, c’est une entreprise colossale, aux ramifications multiples. C’est le travail quotidien d’ingénieurs, médecins, gestionnaires. Ce sont des routines techniques, des équipements. À la fois emblème d’une résurgence de la coopération indo-africaine et expression d’une étonnante histoire cybermédicale indienne, le réseau incarne une Inde néolibérale, portée par l’ambition technique et commerciale de propulser la nation au centre de la marche du monde. Le PAN, c’est une ouverture numérique de la clinique, qui reconfigure la spatialité de la prise en charge de patients. C’est un réseau clé en main, une quête insatiable de maîtrise, une infrastructure largement sous-utilisée. C’est le projet d’une humanité à prendre en charge : une humanité prospère, en santé, connectée. De part en part, l’expérience du PAN problématise le telos cybermédical. Au romantisme d’une circulation fluide et désincarnée de l’information et de l’expertise, elle oppose la concrétude, la plasticité et la pure matérialité de pratiques situées. Qu’on parle de « dispositifs » (Foucault), de « réseaux » (Latour), ou de « sphères » (Sloterdijk), la prise en charge du vivant ne s’effectue pas sur des surfaces neutres et homogènes, mais relève plutôt de forces locales et immanentes. Le PAN pose la nécessité de penser la technique et le soin ensemble, et d’ainsi déprendre la question du devenir de la clinique autant du triomphalisme moderne de l’émancipation que du recueillement phénoménologique devant une expérience authentique du monde. Il s’agit, en somme, de réfléchir sur les pratiques, événements et formes de pouvoir qui composent ces « espaces intérieurs » que sont les réseaux cybermédicaux, dans tout leur vacarme, leur splendeur et leur insuffisance.

A socio-technical network approach to the adoption of low and zero carbon technologies in new housing

Housing in the UK accounts for 30.5% of all energy consumed and is responsible for 25% of all carbon emissions. The UK Government’s Code for Sustainable Homes requires all new homes to be zero carbon by 2016. The development and widespread diffusion of low and zero carbon (LZC) technologies is recognised as being a key solution for housing developers to deliver against this zero-carbon agenda. The innovation challenge to design and incorporate these technologies into housing developers’ standard design and production templates will usher in significant technical and commercial risks. In this paper we report early results from an ongoing Engineering and Physical Sciences Research Council project looking at the innovation logic and trajectory of LZC technologies in new housing. The principal theoretical lens for the research is the socio-technical network approach which considers actors’ interests and interpretative flexibilities of technologies and how they negotiate and reproduce ‘acting spaces’ to shape, in this case, the selection and adoption of LZC technologies. The initial findings are revealing the form and operation of the technology networks around new housing developments as being very complex, involving a range of actors and viewpoints that vary for each housing development.

Pharmaceuticals in Australia: developments in regulation and governance

The pharmaceutical domain represents a type of internationalised policy network theorised in recent writings on neo-liberalism, neo-corporatism and governance. This article presents an analysis of developments in prescription drug regulation in Australia. A relatively stable, state-managed pattern of interaction has been superseded by less closed exchange, and the government itself has fragmented into agencies pursuing different objectives. Developments in the three core regulatory areas are described: safety and efficacy controls, social policy (access and equity), and state support for industry (economic) development. Consensus-building occurs within the context of the National Medicines Policy. The pharmaceutical industry, represented by Medicines Australia, has a stake in all aspects of pharmaceutical policy and regulation, and draws upon unique resources (expertise and lobbying capacity). The context for the developments described is Australia's abandonment of a protectionist version of the Keynesian welfare national state in favour of the model of the competition state, which is oriented towards support for the growth of high technology industries such as pharmaceuticals, premised on partnerships with business.

An integrated observation network for the Gippsland Lakes, Victoria, Australia : balancing the needs of science and management

The Gippsland Lakes region in eastern Victoria is a partially flushed coastal lake system within a diverse catchment of rural and urban communities. Pressure from lakeside developments, re-occurring blue-green algal blooms, declining fisheries, sedimentation and infilling of the ocean entrance, has borne several decades of focussed studies and routine monitoring programs, along with a variety of engineering and management solutions. A recent review recommended that these disparate studies should be enhanced to formulate a coordinated monitoring network that could improve both spatial and temporal coverage, develop a capacity to trigger responsive investigations and was able to serve the needs of system management. Through a series of partnerships an integrated network was developed that comprises event and baseline monitoring of catchment loads, local meteorological forcing and an array of water quality sampling sites within the lakes system. A majority of these sites are incorporated with real-time telemetry that provides up to the minute information to stakeholders via a web-based information management system and vital operational status to technical system management.

United States Trade Developments 2012-2013

Includes bibliography.

3D probability tomography: theoretical developments and applications to high-resolution geophysical prospecting

The theory of the 3D multipole probability tomography method (3D GPT) to image source poles, dipoles, quadrupoles and octopoles, of a geophysical vector or scalar field dataset is developed. A geophysical dataset is assumed to be the response of an aggregation of poles, dipoles, quadrupoles and octopoles. These physical sources are used to reconstruct without a priori assumptions the most probable position and shape of the true geophysical buried sources, by determining the location of their centres and critical points of their boundaries, as corners, wedges and vertices. This theory, then, is adapted to the geoelectrical, gravity and self potential methods. A few synthetic examples using simple geometries and three field examples are discussed in order to demonstrate the notably enhanced resolution power of the new approach. At first, the application to a field example related to a dipole–dipole geoelectrical survey carried out in the archaeological park of Pompei is presented. The survey was finalised to recognize remains of the ancient Roman urban network including roads, squares and buildings, which were buried under the thick pyroclastic cover fallen during the 79 AD Vesuvius eruption. The revealed anomaly structures are ascribed to wellpreserved remnants of some aligned walls of Roman edifices, buried and partially destroyed by the 79 AD Vesuvius pyroclastic fall. Then, a field example related to a gravity survey carried out in the volcanic area of Mount Etna (Sicily, Italy) is presented, aimed at imaging as accurately as possible the differential mass density structure within the first few km of depth inside the volcanic apparatus. An assemblage of vertical prismatic blocks appears to be the most probable gravity model of the Etna apparatus within the first 5 km of depth below sea level. Finally, an experimental SP dataset collected in the Mt. Somma-Vesuvius volcanic district (Naples, Italy) is elaborated in order to define location and shape of the sources of two SP anomalies of opposite sign detected in the northwestern sector of the surveyed area. The modelled sources are interpreted as the polarization state induced by an intense hydrothermal convective flow mechanism within the volcanic apparatus, from the free surface down to about 3 km of depth b.s.l..

Analyzing online communication from a social network point of view: questions, problems, perspectives

This programmatic paper investigates the possibilities, chances, and risks of analyzing personal and professional online communication from the point of view of interactional sociolinguistics combined with modern social network analysis (SNA). Thus, it has two complementing goals: One is the exploration of adequate, innovative concepts and methods for analyzing online communication, the other is to use online communication and its ontological and functional specificities to enrich the conceptual and methodological background of SNA. The paper is organized in two parts. It begins with an introduction to recent developments in sociolinguistic social network analysis. Here, three interesting new concepts and tools are discussed: latent versus emergent networks (Watts 1991), coalitions (Fitzmaurice 2000a, Fitzmaurice 2000b), and communities of practice (Wenger 1998

GetReal in network meta-analysis: a review of the methodology.

Pairwise meta-analysis is an established statistical tool for synthesizing evidence from multiple trials, but it is informative only about the relative efficacy of two specific interventions. The usefulness of pairwise meta-analysis is thus limited in real-life medical practice, where many competing interventions may be available for a certain condition and studies informing some of the pairwise comparisons may be lacking. This commonly encountered scenario has led to the development of network meta-analysis (NMA). In the last decade, several applications, methodological developments, and empirical studies in NMA have been published, and the area is thriving as its relevance to public health is increasingly recognized. This article presents a review of the relevant literature on NMA methodology aiming to pinpoint the developments that have appeared in the field. Copyright © 2016 John Wiley & Sons, Ltd.

Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.

In the last years significant efforts have been devoted to the development of advanced data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to prepare for ITER. On JET the latest generation of the disruption predictor called APODIS has been deployed in the real time network during the last campaigns with the new metallic wall. Even if it was trained only with discharges with the carbon wall, it has reached very good performance, with both missed alarms and false alarms in the order of a few percent (and strategies to improve the performance have already been identified). Since for the optimisation of the mitigation measures, predicting also the type of disruption is considered to be also very important, a new clustering method, based on the geodesic distance on a probabilistic manifold, has been developed. This technique allows automatic classification of an incoming disruption with a success rate of better than 85%. Various other manifold learning tools, particularly Principal Component Analysis and Self Organised Maps, are also producing very interesting results in the comparative analysis of JET and ASDEX Upgrade (AUG) operational spaces, on the route to developing predictors capable of extrapolating from one device to another.

Quantifying dispersal paths in probabilistic habitat networks: a reply to hock and mumby (2015) and an overview of recent developments and applications

Hock and Mumby (2015) describe an approach to quantify dispersal probabilities along paths in networks of habitat patches. This approach basically consists in determining the most probable (most reliable) path for movement between habitat patches by calculating the product of the dispersal probabilities in each link (step) along the paths in the network. Although the paper by Hock and Mumby (2015) has value and includes interesting analyses (see comments in section 7 below), the approach they describe is not new.

Multilateral Interchange Fees: Competition and regulation in light of recent legislative developments. ECRI Research Report No. 14, 31 January 2014

Two-sided payment card markets generate costs that have to be distributed among the participating actors. For this purpose, payment card networks set an interchange fee, which is the fee paid by the merchant’s bank to the cardholder’s bank per transaction. While in recent years many antitrust authorities all over the world - including the European Commission - have opened proceedings against card brands in order to verify whether agreements to collectively establish the level of interchange fees are anticompetitive, the Reserve Bank of Australia – as a regulator - has directly tried to address market failures by lowering the level of interchange fees and changing some network rules. The US has followed with new legislation on financial consumer protection, which also intervenes on interchange fees. This has opened a strong debate not only on legitimacy of interchange fees, but also on the appropriateness of different public tools to address such issues. Drawing from economic and legal theories and a comparative analysis of recent case law in the EU and other jurisdictions, this work investigates whether a regulation rather than a purely competition policy approach would be more appropriate in this field, considering in particular, at EU level, all of the competition and regulatory concerns that have arisen from the operation of SEPA with multilateral interchange fees. The paper concludes that a wider regulation approach could address some of the shortcomings of a purely antitrust approach, proving to be highly beneficial to the development of an efficient European single payments area.

Location and network effects on innovation success:evidence for UK, German and Irish manufacturing plants

Recent developments in the new economic geography and the literature on regional innovation systems have emphasised the potentially important role of networking and the characteristics of firms' local operating environment in shaping their innovative activity. Modeling UK, German and Irish plants' investments in R&D, technology transfer and networking, and their effect on the extent and success of plants' innovation activities, casts some doubt on the importance of both of these relationships. In particular, our analysis provides no support for the contention that firms or plants in the UK, Ireland or Germany with more strongly developed external links (collaborative networks or technology transfer) develop greater innovation intensity. However, although inter-firm links also have no effect on the commercial success of plants' innovation activity, intra-group links are important in terms of achieving commercial success. We also find evidence that R&D, technology transfer and networking inputs are substitutes rather than complements in the innovation process, and that there are systematic sectoral and regional influences in the efficiency with which such inputs are translated into innovation outputs. © 2001 Elsevier Science B.V.

Exploring the relationships between network change and network learning

This paper relates the concept of network learning - learning by a group of organizations as a group - to change and notions of change management. Derived initially from a review of literature on organizational learning (OL) and interorganizational networks, and secondary cases of network learning, the concept was evaluated and developed through empirical investigation of five network learning episodes in the group of organizations that comprises the English prosthetics service. We argue that the notion of network learning enables a richer understanding of developments in networks over extended periods of time than can be afforded through more established concepts of change and change management alone.

Developments and prospects of freight railway transport in Northern Germany:a Delphi survey

Despite the fact that Germany has a well expanded traffic infrastructure, it confronts a strong growth in freight volumes and it is very likely that in the forthcoming years will not be able to reasonably cope with the increasing demand. The aim of this paper is to explore the developments of the transport sector, railways in particular, in North Germany. More specific, the paper explores whether the railway network could contribute to improved traffic development in North Germany and also whether or not the existing logistics practices are effective enough to cope with the traffic problems in the region. The research based on the Delphi technique, collected, analysed and summarised the opinions of a group of experts in the aforementioned issues. Results indicate that railways could represent the solution to the forecasted growing freight volumes in the next years. In spite of continuous efforts undertaken by the politics and the economy, the existing logistics and freight traffic concepts are not sufficient, financing is too scarce, while emerging issues like sustainability, environment protection and working conditions are taken into little consideration. Copyright © 2014 Inderscience Enterprises Ltd.

A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems

In nonlinear and stochastic control problems, learning an efficient feed-forward controller is not amenable to conventional neurocontrol methods. For these approaches, estimating and then incorporating uncertainty in the controller and feed-forward models can produce more robust control results. Here, we introduce a novel inversion-based neurocontroller for solving control problems involving uncertain nonlinear systems which could also compensate for multi-valued systems. The approach uses recent developments in neural networks, especially in the context of modelling statistical distributions, which are applied to forward and inverse plant models. Provided that certain conditions are met, an estimate of the intrinsic uncertainty for the outputs of neural networks can be obtained using the statistical properties of networks. More generally, multicomponent distributions can be modelled by the mixture density network. Based on importance sampling from these distributions a novel robust inverse control approach is obtained. This importance sampling provides a structured and principled approach to constrain the complexity of the search space for the ideal control law. The developed methodology circumvents the dynamic programming problem by using the predicted neural network uncertainty to localise the possible control solutions to consider. A nonlinear multi-variable system with different delays between the input-output pairs is used to demonstrate the successful application of the developed control algorithm. The proposed method is suitable for redundant control systems and allows us to model strongly non-Gaussian distributions of control signal as well as processes with hysteresis. © 2004 Elsevier Ltd. All rights reserved.