89 resultados para industrial networks


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This paper presents a method based on a geographical information system (GIS) to model ecological networks in a fragmented landscape. The ecological networks are generated with the help of a landscape model (which integrate human activities) and with a wildlife dispersal model. The main results are maps which permit the analysis and the understanding of the impact of human activities on wildlife dispersal. Three applications in a study area are presented: ecological networks at the landscape scale, conflicting areas at the farmstead scale and ecological distance between biotopes. These applications show the flexibility of the model and its potential to give information on ecological networks at different planning scales.

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Background: One characteristic of post traumatic stress disorder is an inability to adapt to a safe environment i.e. to change behavior when predictions of adverse outcomes are not met. Recent studies have also indicated that PTSD patients have altered pain processing, with hyperactivation of the putamen and insula to aversive stimuli (Geuze et al, 2007). The present study examined neuronal responses to aversive and predicted aversive events. Methods: Twenty-four trauma exposed non-PTSD controls and nineteen subjects with PTSD underwent fMRI imaging during a partial reinforcement fear conditioning paradigm, with a mild electric shock as the unconditioned stimuli (UCS). Three conditions were analyzed: actual presentations of the UCS, events when a UCS was expected, but omitted (CS+), and events when the UCS was neither expected nor delivered (CS-). Results: The UCS evoked significant alterations in the pain matrix consisting of the brainstem, the midbrain, the thalamus, the insula, the anterior and middle cingulate and the contralateral somatosensory cortex. PTSD subjects displayed bilaterally elevated putamen activity to the electric shock, as compared to controls. In trials when USC was expected, but omitted, significant activations were observed in the brainstem, the midbrain, the anterior insula and the anterior cingulate. PTSD subjects displayed similar activations, but also elevated activations in the amygdala and the posterior insula. Conclusions: These results indicate altered fear and safety learning in PTSD, and neuronal activations are further explored in terms of functional connectivity using psychophysiological interaction analyses.

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The success story of hydroelectricity long influenced and dominated Swiss scholarly literature devoted to the history of technology. This means of conducting power, which emerged at the end of the 19th century and is still dominating today, has attracted much more attention than technologies that have been shadowed by its success. In spite of their important contribution to Swiss economic development, the distribution networks of pressurized water have been neglected by scholars. This article contributes to close this historiographic gap by analyzing the introduction of pressurized water distribution in 1876 in Lausanne, in the context of the building of the first Swiss cable funicular between Lausanne and Ouchy. This article shows how pressurized water distribution transformed socio-economic practices in the urban areas in which it was adopted. Indeed, this innovation, which allowed the use of distant hydraulic resources, enabled the rationalization of industrial and artisanal production as well as improved the density of the urban industrial base. By facilitating the introduction of electric lighting, pressurized water networks played a key role in the early development, and further successes, of the Swiss hydroelectric industry.

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The genetic characterization of unbalanced mixed stains remains an important area where improvement is imperative. In fact, with current methods for DNA analysis (Polymerase Chain Reaction with the SGM Plus™ multiplex kit), it is generally not possible to obtain a conventional autosomal DNA profile of the minor contributor if the ratio between the two contributors in a mixture is smaller than 1:10. This is a consequence of the fact that the major contributor's profile 'masks' that of the minor contributor. Besides known remedies to this problem, such as Y-STR analysis, a new compound genetic marker that consists of a Deletion/Insertion Polymorphism (DIP), linked to a Short Tandem Repeat (STR) polymorphism, has recently been developed and proposed elsewhere in literature [1]. The present paper reports on the derivation of an approach for the probabilistic evaluation of DIP-STR profiling results obtained from unbalanced DNA mixtures. The procedure is based on object-oriented Bayesian networks (OOBNs) and uses the likelihood ratio as an expression of the probative value. OOBNs are retained in this paper because they allow one to provide a clear description of the genotypic configuration observed for the mixed stain as well as for the various potential contributors (e.g., victim and suspect). These models also allow one to depict the assumed relevance relationships and perform the necessary probabilistic computations.

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Using optimized voxel-based morphometry, we performed grey matter density analyses on 59 age-, sex- and intelligence-matched young adults with three distinct, progressive levels of musical training intensity or expertise. Structural brain adaptations in musicians have been repeatedly demonstrated in areas involved in auditory perception and motor skills. However, musical activities are not confined to auditory perception and motor performance, but are entangled with higher-order cognitive processes. In consequence, neuronal systems involved in such higher-order processing may also be shaped by experience-driven plasticity. We modelled expertise as a three-level regressor to study possible linear relationships of expertise with grey matter density. The key finding of this study resides in a functional dissimilarity between areas exhibiting increase versus decrease of grey matter as a function of musical expertise. Grey matter density increased with expertise in areas known for their involvement in higher-order cognitive processing: right fusiform gyrus (visual pattern recognition), right mid orbital gyrus (tonal sensitivity), left inferior frontal gyrus (syntactic processing, executive function, working memory), left intraparietal sulcus (visuo-motor coordination) and bilateral posterior cerebellar Crus II (executive function, working memory) and in auditory processing: left Heschl's gyrus. Conversely, grey matter density decreased with expertise in bilateral perirolandic and striatal areas that are related to sensorimotor function, possibly reflecting high automation of motor skills. Moreover, a multiple regression analysis evidenced that grey matter density in the right mid orbital area and the inferior frontal gyrus predicted accuracy in detecting fine-grained incongruities in tonal music.

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The present thesis is about cognitions of left-wing activists and the role they play to better understand contentious participation. It compares activists of three post-industrial social movement organizations in Switzerland, i.e. Solidarity across Borders defending migrant's rights, the Society of Threatened People promoting collective human rights and Greenpeace protecting the environment. It makes use of an innovative mixed methods design combining survey and interview data. The main theoretical contribution is to conceptualize an analytical tool enabling to grasp the cognitive map of these activists by putting forward the concept of strong citizen, summing up their relation to society and politics. The relation to society consists of an extensive relation to others and an interconnected vision of society. Consequently, their primary concerns include the handing of common goods and the equal treatment of individuals with regard to common goods. The relation to politics incorporates a critical and vigilant citizen. They are critical towards political authorities and they appreciate political action by organized groups of the civil society. The thesis states that only by having such worldviews activists are able to construct an injustice, agency and identity frame for the claims of their organizations. Thus, the present work delivers a parsimonious answer to the question of where an injustice, agency and identity frame comes from. It does so by a systematic analysis of four specific arguments. First, it empirically demonstrates that these activists have - at the aggregate level - specific cognitive resources compared to the general population. Second, it describes the content of this specific cognitive outlook by evaluating the appropriateness of the strong citizen concept. Third, it looks at variations between activist's communities and shows that activists of more challenging protest issues are stronger citizens than activists of more mainstream protests. Finally, cognitions are not the only part of the story if one looks at contentious participation. Other factors, i.e. social networks and biographical availability, matter too. Therefore, I test if cognitions are able to contribute in explaining differences between activists' communities if one controls for other factors. In sum, this thesis is thus a first step to demonstrate why one should be concerned about activists' cognitions. - Cette thèse s'intéresse aux cognitions des activistes de gauche et à leur rôle dans le phénomène de la participation contestataire. Des activistes de trois organisations post- industrielles en Suisse sont comparé, à savoir Solidarité sans Frontières qui défend les droits des migrants, la Société des Peuples menacés qui promeut les droits des collectivités minoritaires et Greenpeace qui oeuvre pour la protection de l'environnement. Cette recherche utilise un « mixed methods design » en combinant de manière innovant des données de sondage et d'entretiens. Ma principale contribution théorique réside dans la conceptualisation d'un outil analytique qui permet de saisir la « carte cognitive » des activistes, à travers le concept de « strong citizen » qui se réfère à la relation spécifique qu'entretiennent certains individus avec la société et la politique. Ces individus sont caractérisés par une vision inclusive et interconnectée de la société, ainsi que par une conception politique du citoyen comme critique et vigilant. Mon argument principal est celui selon lequel seuls les individus possédant ce type particulier de cognitions sont capable de construire un cadre d'injustice, d'« agency » et d'identité. Cette thèse apporte donc quelques éléments de réponse à la question de l'origine de ces cadres cognitifs qui sont cruciales pour la participation. Pour ce faire, quatre aspects spécifiques sont analysés de manière systématique. Premièrement, je démontre empiriquement, au niveau agrégé, que ces activistes possèdent effectivement des ressources cognitives spécifiques - en comparaison avec la population générale. Deuxièmement, j'analyse le contenu de ces cognitions, ce qui me permet notamment d'évaluer la pertinence et l'adéquation du concept de « strong citizen ». Troisièmement, en m'intéressant cette fois aux variations entre communautés d'activistes, je démontre que ceux réunis autour d'enjeux protestataires très revendicatifs sont, d'un point de vue cognitif, plus proches de la figure du « strong citizen » que ceux mobilisés sur des enjeux plus consensuels. Finalement, d'autres facteurs, à savoir les réseaux sociaux et la disponibilité biographique, sont intégrés à l'analyse afin de mesurer le réel pouvoir explicatif des cognitions dans l'explication des différences observées entre communautés d'activistes. A travers ces analyses, cette thèse met en avant l'importance du rôle des cognitions dans l'étude de la participation contestataire.

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Functional magnetic resonance imaging studies have indicated that efficient feature search (FS) and inefficient conjunction search (CS) activate partially distinct frontoparietal cortical networks. However, it remains a matter of debate whether the differences in these networks reflect differences in the early processing during FS and CS. In addition, the relationship between the differences in the networks and spatial shifts of attention also remains unknown. We examined these issues by applying a spatio-temporal analysis method to high-resolution visual event-related potentials (ERPs) and investigated how spatio-temporal activation patterns differ for FS and CS tasks. Within the first 450 msec after stimulus onset, scalp potential distributions (ERP maps) revealed 7 different electric field configurations for each search task. Configuration changes occurred simultaneously in the two tasks, suggesting that contributing processes were not significantly delayed in one task compared to the other. Despite this high spatial and temporal correlation, two ERP maps (120-190 and 250-300 msec) differed between the FS and CS. Lateralized distributions were observed only in the ERP map at 250-300 msec for the FS. This distribution corresponds to that previously described as the N2pc component (a negativity in the time range of the N2 complex over posterior electrodes of the hemisphere contralateral to the target hemifield), which has been associated with the focusing of attention onto potential target items in the search display. Thus, our results indicate that the cortical networks involved in feature and conjunction searching partially differ as early as 120 msec after stimulus onset and that the differences between the networks employed during the early stages of FS and CS are not necessarily caused by spatial attention shifts.

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This paper presents and discusses the use of Bayesian procedures - introduced through the use of Bayesian networks in Part I of this series of papers - for 'learning' probabilities from data. The discussion will relate to a set of real data on characteristics of black toners commonly used in printing and copying devices. Particular attention is drawn to the incorporation of the proposed procedures as an integral part in probabilistic inference schemes (notably in the form of Bayesian networks) that are intended to address uncertainties related to particular propositions of interest (e.g., whether or not a sample originates from a particular source). The conceptual tenets of the proposed methodologies are presented along with aspects of their practical implementation using currently available Bayesian network software.

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The aim of this study was to evaluate adverse effects of multiwalled carbon nanotubes (MWCNT), produced for industrial purposes, on the human epithelial cell line A549. MWCNT were dispersed in dipalmitoyl lecithin (DPL), a component of pulmonary surfactant, and the effects of dispersion in DPL were compared to those in two other media: ethanol (EtOH) and phosphate-buffered saline (PBS). Effects of MWCNT were also compared to those of two asbestos fibers (chrysotile and crocidolite) and carbon black (CB) nanoparticles, not only in A549 cells but also in mesothelial cells (MeT5A human cell line), used as an asbestos-sensitive cell type. MWCNT formed agglomerates on top of both cell lines (surface area 15-35 μm2) that were significantly larger and more numerous in PBS than in EtOH and DPL. Whatever the dispersion media, incubation with 100 μg/ml MWCNT induced a similar decrease in metabolic activity without changing cell membrane permeability or apoptosis. Neither MWCNT cellular internalization nor oxidative stress was observed. In contrast, asbestos fibers penetrated into the cells, decreased metabolic activity but not cell membrane permeability, and increased apoptosis, without decreasing cell number. CB was internalized without any adverse effects. In conclusion, this study demonstrates that MWCNT produced for industrial purposes exert adverse effects without being internalized by human epithelial and mesothelial pulmonary cell lines. [Authors]