33 resultados para Intensive and extensive margin
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The Thouless-Anderson-Palmer (TAP) approach was originally developed for analysing the Sherrington-Kirkpatrick model in the study of spin glass models and has been employed since then mainly in the context of extensively connected systems whereby each dynamical variable interacts weakly with the others. Recently, we extended this method for handling general intensively connected systems where each variable has only O(1) connections characterised by strong couplings. However, the new formulation looks quite different with respect to existing analyses and it is only natural to question whether it actually reproduces known results for systems of extensive connectivity. In this chapter, we apply our formulation of the TAP approach to an extensively connected system, the Hopfield associative memory model, showing that it produces identical results to those obtained by the conventional formulation.
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A novel all-optical regeneration technique using loop-mirror intensity-filtering and nonlinear broadening in normal-dispersion fibre is described. The device offers 2R-regeneration function and phase margin improvement. The technique is applied to 40Gbit/s return-to-zero optical data streams.
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A novel all-optical regeneration technique using loop-mirror intensity-filtering and nonlinear broadening in normal-dispersion fibre is described. The device offers 2R-regeneration function and phase margin improvement. The technique is applied to 40Gbit/s return-to-zero optical data streams.
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Smart grid technologies have given rise to a liberalised and decentralised electricity market, enabling energy providers and retailers to have a better understanding of the demand side and its response to pricing signals. This paper puts forward a reinforcement-learning-powered tool aiding an electricity retailer to define the tariff prices it offers, in a bid to optimise its retail strategy. In a competitive market, an energy retailer aims to simultaneously increase the number of contracted customers and its profit margin. We have abstracted the problem of deciding on a tariff price as faced by a retailer, as a semi-Markov decision problem (SMDP). A hierarchical reinforcement learning approach, MaxQ value function decomposition, is applied to solve the SMDP through interactions with the market. To evaluate our trading strategy, we developed a retailer agent (termed AstonTAC) that uses the proposed SMDP framework to act in an open multi-agent simulation environment, the Power Trading Agent Competition (Power TAC). An evaluation and analysis of the 2013 Power TAC finals show that AstonTAC successfully selects sell prices that attract as many customers as necessary to maximise the profit margin. Moreover, during the competition, AstonTAC was the only retailer agent performing well across all retail market settings.
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Through careful historical and ethnographic research and extensive use of local scholarly works, this book provides a persuasive and careful analysis of the production of knowledge in Central Asia. The author demonstrates that classical theories of science and society are inadequate for understanding the science project in Central Asia. Instead, a critical understanding of local science is more appropriate. In the region, the professional and political ethos of Marxism-Leninism was incorporated into the logic of science on the periphery of the Soviet empire. This book reveals that science, organizes and constructed by Soviet rule, was also defined by individual efforts of local scientists. Their work to establish themselves 'between Marx and the market' is therefore creating new political economies of knowledge at the edge of the scientific world system.
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Attractor properties of a popular discrete-time neural network model are illustrated through numerical simulations. The most complex dynamics is found to occur within particular ranges of parameters controlling the symmetry and magnitude of the weight matrix. A small network model is observed to produce fixed points, limit cycles, mode-locking, the Ruelle-Takens route to chaos, and the period-doubling route to chaos. Training algorithms for tuning this dynamical behaviour are discussed. Training can be an easy or difficult task, depending whether the problem requires the use of temporal information distributed over long time intervals. Such problems require training algorithms which can handle hidden nodes. The most prominent of these algorithms, back propagation through time, solves the temporal credit assignment problem in a way which can work only if the relevant information is distributed locally in time. The Moving Targets algorithm works for the more general case, but is computationally intensive, and prone to local minima.
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This review describes a group of diseases known as the transmissible spongiform encephalopathies (TSEs), which affect animals and humans. Examination of affected brain tissue suggests that these diseases are caused by the acquisition and deposition of prion protein (PrP). Creutzfeldt-Jakob disease (CJD) is the most important form of TSE in humans with at least four different varieties of the disease. Variant CJD (vCJD), a new form of the disease found in the UK, has several features that differ from the classical forms including early age of onset, longer duration of disease, psychiatric presentation (for example, depression) and extensive florid plaque development in the brain. About 10 per cent of patients with CJD exhibit visual symptoms at disease presentation and approximately 50 per cent during the course of the disease. The most commonly reported visual symptoms include diplopia, supranuclear palsies, complex visual disturbances, homonymous visual field defects, hallucinations and cortical blindness. Saccadic and smooth pursuit movements appear to be more rarely affected. The agent causing vCJD accumulates in lymphoid tissue such as the spleen and tonsils. The cornea has lymphoid tissue in the form of corneal dendritic cells that are important in the regulation of the immune response in the anterior segment of the eye. The presence of these cells in the cornea has raised the possibility of transmission between patients via optical devices that contact the eye. Although such transmission is theoretically possible it remains highly improbable.
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Offshore oil and gas pipelines are vulnerable to environment as any leak and burst in pipelines cause oil/gas spill resulting in huge negative Impacts on marine lives. Breakdown maintenance of these pipelines is also cost-intensive and time-consuming resulting in huge tangible and intangible loss to the pipeline operators. Pipelines health monitoring and integrity analysis have been researched a lot for successful pipeline operations and risk-based maintenance model is one of the outcomes of those researches. This study develops a risk-based maintenance model using a combined multiple-criteria decision-making and weight method for offshore oil and gas pipelines in Thailand with the active participation of experienced executives. The model's effectiveness has been demonstrated through real life application on oil and gas pipelines in the Gulf of Thailand. Practical implications. Risk-based inspection and maintenance methodology is particularly important for oil pipelines system, as any failure in the system will not only affect productivity negatively but also has tremendous negative environmental impact. The proposed model helps the pipelines operators to analyze the health of pipelines dynamically, to select specific inspection and maintenance method for specific section in line with its probability and severity of failure.
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State-owned enterprises in China have been given greater autonomy and responsibility, have freer access to foreign technology, and are being encouraged to form groups to gain from rationalization and integration. This article uses case studies to identify the key strategic issues that affect the commercial viability of foreign technology acquisition by state-owned enterprises within the context of enterprise reforms. All the case study enterprises used technology transfer to develop new or improved products. Technologies acquired as parts of subcontracting arrangements and well-established technologies to produce end-use products are easier to manage and operate profitably. However, the latter type of technology has been imported by numerous enterprises and has led to fierce competition and industy restructuring. Importing capital-intensive and complex technology to produce major components for products, such as cars, is more difficult and requires closer coordination with customers and suppliers.
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This note reports the results of a survey of firms operating in Britain concerning the impact on their costs and operations of the Social Action Programme. We find that the realised and anticipated adverse impacts of the legislation are rather limited, although both do appear to be greater for firms which are relatively large, skill intensive, and which have a substantial amount of trade with other EU countries. In particular, the survey results provide little evidence to suggest that the imposition of a minimum wage of £3.50 per hour would have a substantial adverse impact on employment. Evidence does, however, suggest that firms which pay relatively low wages are likely to be affected more than others by the legislation.
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Vision must analyze the retinal image over both small and large areas to represent fine-scale spatial details and extensive textures. The long-range neuronal convergence that this implies might lead us to expect that contrast sensitivity should improve markedly with the contrast area of the image. But this is at odds with the orthodox view that contrast sensitivity is determined merely by probability summation over local independent detectors. To address this puzzle, I aimed to assess the summation of luminance contrast without the confounding influence of area-dependent internal noise. I measured contrast detection thresholds for novel Battenberg stimuli that had identical overall dimensions (to clamp the aggregation of noise) but were constructed from either dense or sparse arrays of micro-patterns. The results unveiled a three-stage visual hierarchy of contrast summation involving (i) spatial filtering, (ii) long-range summation of coherent textures, and (iii) pooling across orthogonal textures. Linear summation over local energy detectors was spatially extensive (as much as 16 cycles) at Stage 2, but the resulting model is also consistent with earlier classical results of contrast summation (J. G. Robson & N. Graham, 1981), where co-aggregation of internal noise has obscured these long-range interactions.
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We investigate how the characteristics and experience of the entrepreneurial founding team (EFT) affect the export orientation and subsequent performance of the businesses they establish, while allowing for the mutually reinforcing relationship between exporting and productivity. Using a sample of UK technology-based firms, we hypothesise and confirm that the set of EFT human capital needed for entering export markets is different from that required for succeeding in export markets. Commercial and managerial experience helps firms become exporters, but once over the exporting hurdle it is education, both general and specific, that has a substantially positive effect. The overall pattern of human capital effects on productivity is similar to those for export propensity. We also find evidence that productive firms are more likely both to enter export markets and to be export intensive, and that exporting boosts subsequent firm productivity.
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Introduction: There is a growing public perception that serious medical error is commonplace and largely tolerated by the medical profession. The Government and medical establishment's response to this perceived epidemic of error has included tighter controls over practising doctors and individual stick-and-carrot reforms of medical practice. Discussion: This paper critically reviews the literature on medical error, professional socialization and medical student education, and suggests that common themes such as uncertainty, necessary fallibility, exclusivity of professional judgement and extensive use of medical networks find their genesis, in part, in aspects of medical education and socialization into medicine. The nature and comparative failure of recent reforms of medical practice and the tension between the individualistic nature of the reforms and the collegiate nature of the medical profession are discussed. Conclusion: A more theoretically informed and longitudinal approach to decreasing medical error might be to address the genesis of medical thinking about error through reforms to the aspects of medical education and professional socialization that help to create and perpetuate the existence of avoidable error, and reinforce medical collusion concerning error. Further changes in the curriculum to emphasize team working, communication skills, evidence-based practice and strategies for managing uncertainty are therefore potentially key components in helping tomorrow's doctors to discuss, cope with and commit fewer medical errors.
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This book examines how foreign direct investment (FDI) inflows to Central and Eastern Europe have changed after the Great Recession. It argues that beyond their cyclical effects, the economic crisis and the changing competitiveness of Central and Eastern European countries have had structural impacts on FDI in the region. FDI has traditionally been viewed as the key driver of national development, but the apparent structural shift means that focusing on cheap labour as a competitive advantage is no longer a viable strategy for the countries in the region. The authors argue that these countries need to move beyond the narrative of upgrading (attracting FDI inflows with increasingly higher value added), and focus on ensuring greater value capture instead. A potential way for doing this is by developing the conditions in which innovative national companies can emerge, thrive and eventually develop into lead firms of global value chains. The book provides readers with a highly informative account of the reasons why this shift is necessary, as well as diverse perspectives and extensive discussions on the dynamics and structural impacts of FDI in post-crisis Central and Eastern Europe.
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Most advanced economies offer publicly financed advice services to start-up firms and SMEs. In England, local or regional Business Links organisations have provided these services, and divided their support into nonintensive one-off contacts providing information or advice and more intensive support involving a diagnostic process and repeated interaction with firms. A key choice for Business Link managers is how to shape their intervention strategies, balancing resources between intensive and nonintensive support. Drawing on resource dependency theory, we develop a typology of intervention strategies for Business Links in England which reflects differences in the breadth and depth of the support provided. We then test the impacts of these alternative intervention models on client companies using both subjective assessments by firms and econometric treatment models that allow for selection bias. Our key empirical result is that Business Links’ choice of intervention strategy has a significant effect both on actual and on perceived business outcomes, with our results emphasising the value of depth over breadth. The implication is that where additional resources are available for business support these should be used to deepen the assistance provided rather than extend assistance to a wider group of firms.