976 resultados para regional networks
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This paper overviews the main conceptual frameworks for understanding participatory approaches to land use planning and explores their utility in analysing the experience of a recent regional planning exercise in South East England. In particular it examines the contribution of recent ‘New Institutionalist’ ideas to our understanding of participatory processes and the implications for practice of using them to build strategies of public involvement in policy-making and implementation.
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This article examines the network relationships of a set of large retail multinational enterprises (MNEs). We analyze under what conditions a flagship-network strategy (characterized by a network of five partners – the MNE, key suppliers, key partners, selected competitors and key organisations in the non-business infrastructure) explains the internationalisation of three retailers whose geographic scope, sectoral conditions and competitive strategies differ substantially. We explore why and when retailers will adopt a flagship strategy. The three firms are two U.K.-based multinational retailers (Tesco and The Body Shop) and a French-based global retailer (Moët Hennessy Louis Vuitton). We find evidence of strong network relationships for all three retailers, although each embraces network strategies for different reasons. Their flagship relationships depend on each retailer's strategic use of firm-specific-advantages (FSAs) and country-specific advantages (CSAs). We find that a flagship strategy can succeed in overcoming internal and/or environmental constraints to cross-border resource transfers, which are barriers to foreign direct investment (FDI). We provide recommendations on why and when to use a flagship-based strategy and which type of network partners to prioritize in order to succeed internationally.
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Contiene antecedentes y lineamientos para formular e impulsar un programa regional de cooperacion entre redes y sistemas nacionales de informacion existentes en America Latina y el Caribe.
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Within a metacommunity, both environmental and spatial processes regulate variation in local community structure. The strength of these processes may vary depending on species traits (e.g., dispersal mode) or the characteristics of the regions studied (e.g., spatial extent, environmental heterogeneity). We studied the metacommunity structuring of three groups of stream macroinvertebrates differing in their overland dispersal mode (passive dispersers with aquatic adults; passive dispersers with terrestrial adults; active dispersers with terrestrial adults). We predicted that environmental structuring should be more important for active dispersers, because of their better ability to track environmental variability, and that spatial structuring should be more important for species with aquatic adults, because of stronger dispersal limitation. We sampled a total of 70 stream riffle sites in three drainage basins. Environmental heterogeneity was unrelated to spatial extent among our study regions, allowing us to examine the effects of these two factors on metacommunity structuring. We used partial redundancy analysis and Moran's eigenvector maps based on overland and watercourse distances to study the relative importance of environmental control and spatial structuring. We found that, compared with environmental control, spatial structuring was generally negligible, and it did not vary according to our predictions. In general, active dispersers with terrestrial adults showed stronger environmental control than the two passively dispersing groups, suggesting that the species dispersing actively are better able to track environmental variability. There were no clear differences in the results based on watercourse and overland distances. The variability in metacommunity structuring among basins was not related to the differences in the environmental heterogeneity and spatial extent. Our study emphasized that (1) environmental control is prevailing in stream metacommunities, (2) dispersal mode may have an important effect on metacommunity structuring, and (3) some factors other than spatial extent or environmental heterogeneity contributed to the differences among the basins.
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With the advent of functional neuroimaging techniques, in particular functional magnetic resonance imaging (fMRI), we have gained greater insight into the neural correlates of visuospatial function. However, it may not always be easy to identify the cerebral regions most specifically associated with performance on a given task. One approach is to examine the quantitative relationships between regional activation and behavioral performance measures. In the present study, we investigated the functional neuroanatomy of two different visuospatial processing tasks, judgement of line orientation and mental rotation. Twenty-four normal participants were scanned with fMRI using blocked periodic designs for experimental task presentation. Accuracy and reaction time (RT) to each trial of both activation and baseline conditions in each experiment was recorded. Both experiments activated dorsal and ventral visual cortical areas as well as dorsolateral prefrontal cortex. More regionally specific associations with task performance were identified by estimating the association between (sinusoidal) power of functional response and mean RT to the activation condition; a permutation test based on spatial statistics was used for inference. There was significant behavioral-physiological association in right ventral extrastriate cortex for the line orientation task and in bilateral (predominantly right) superior parietal lobule for the mental rotation task. Comparable associations were not found between power of response and RT to the baseline conditions of the tasks. These data suggest that one region in a neurocognitive network may be most strongly associated with behavioral performance and this may be regarded as the computationally least efficient or rate-limiting node of the network.
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55th European Regional Science Association Congress, Lisbon, Portugal (25-28 August 2015).
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The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others natureinspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids.