908 resultados para taxonomy of innovation


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The Dali Domain Dictionary (http://www.ebi.ac.uk/dali/domain) is a numerical taxonomy of all known structures in the Protein Data Bank (PDB). The taxonomy is derived fully automatically from measurements of structural, functional and sequence similarities. Here, we report the extension of the classification to match the traditional four hierarchical levels corresponding to: (i) supersecondary structural motifs (attractors in fold space), (ii) the topology of globular domains (fold types), (iii) remote homologues (functional families) and (iv) homologues with sequence identity above 25% (sequence families). The computational definitions of attractors and functional families are new. In September 2000, the Dali classification contained 10 531 PDB entries comprising 17 101 chains, which were partitioned into five attractor regions, 1375 fold types, 2582 functional families and 3724 domain sequence families. Sequence families were further associated with 99 582 unique homologous sequences in the HSSP database, which increases the number of effectively known structures several-fold. The resulting database contains the description of protein domain architecture, the definition of structural neighbours around each known structure, the definition of structurally conserved cores and a comprehensive library of explicit multiple alignments of distantly related protein families.

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Paper submitted to the 51st European Congress of the Regional Science Association International, 37th Spanish Regional Science Association Conference, Barcelona, August 30-September 3, 2011.

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The innovation–performance relationship is well studied in the literature, but the effect of innovation-based public recognitions is underresearched. This article finds a positive effect, whose magnitude is contingent upon the firm’s growth, experience, and its service–manufacturer character.

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Soil enzymes are critical to soil nutrient cycling function but knowledge on the factors that control their response to major disturbances such as wildfires remains very limited. We evaluated the effect of fire-related plant functional traits (resprouting and seeding) on the resistance and resilience to fire of two soil enzyme activities involved in phosphorus and carbon cycling (acid phosphatase and β-glucosidase) in a Mediterranean shrublands in SE Spain. Using experimental fires, we compared four types of shrubland microsites: SS (vegetation patches dominated by seeder species), RR (patches dominated by resprouter species), SR (patches co-dominated by seeder and resprouter species), and IP (shrub interpatches). We assessed pre- and post-fire activities of the target soil enzymes, available P, soil organic C, and plant cover dynamics over three years after the fire. Post-fire regeneration functional groups (resprouter, seeder) modulated both pre- and post-fire activity of acid phosphatase and β-glucosidase, with higher activity in RR and SR patches than in SS patches and IP. However, we found no major differences in enzyme resistance and resilience between microsite types, except for a trend towards less resilience in SS patches. Fire similarly reduced the activity of both enzymes. However, acid phosphatase and β-glucosidase showed contrasting post-fire dynamics. While β-glucosidase proved to be rather resilient to fire, fully recovering three years after fire, acid phosphatase showed no signs of recovery in that period. Overall, the results indicate a positive influence of resprouter species on soil enzyme activity that is very resistant to fire. Long-lasting decrease in acid phosphatase activity probably resulted from the combined effect of P availability and post-fire drought. Our results provide insights on how plant functional traits modulate soil biochemical and microbiological response to fire in Mediterranean fire-prone shrublands.

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Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region.

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Online gambling is a fast growing service activity in the world - its economic significance is clearly shown by the high level of innovation by gambling operators all over the world, as well as by the increasing amount of tax revenues generated in those States that allow this activity. Nevertheless, states face many difficulties in controlling and regulating online gambling, given the specific nature of the Internet, and the never-ending quest by gamblers for new gaming websites that offer superior odds, a wider gaming variety, and greater bets combination. In this working paper, Dr Salvatore Casabona examines the legality of online gambling in the context of the European Union (EU), and discusses the Union's regulatory approach to online gambling, the lack of harmonisation and the issue of member state sovereignty at the crossroad of European Law on online gambling, and the potential for a new regulatory paradigm to emerge.

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Introduction. One frequently hears the question posed in the title to this report, but there is little systematic analytical literature on the issue. Fragmented evidence or anecdotes dominate debates among EU regulatory decision-makers and in European business, insofar as there is a genuine debate at all. This CEPS Special Report focuses on the multi-faceted, ambiguous and complex relationship between (EU) regulation and innovation in the economy, and discusses the innovation-enhancing potential of certain regulatory approaches as well as factors that tend to reduce incentives to innovate. It adopts an 'ecosystem' approach to both regulation and innovation, and study the interactions between the two ecosystems. This general analysis and survey are complemented by seven case studies of EU regulation enabling and disabling innovation, two horizontal and five sectoral ones. The case studies are preceded by a broader contextual analysis of trends in EU regulation over the last three decades. These trends show the significant transformation of the nature as well as improvement of the quality of EU regulation, largely in the deepened internal market, which tend to have a favourable and lasting effect on the rate of innovation in the EU (other things being equal). Among the findings include the following: Regulation can at times be a powerful stimulus to innovation. EU regulation matters at all stages of the innovation process. Different types of regulation can be identified in terms of innovation impact: general or horizontal, innovation-specific and sector-specific regulation. More prescriptive regulation tends to hamper innovative activity, whereas the more flexible EU regulation is, the better innovation can be stimulated. Lower compliance and red-tape burdens have a positive effect on innovation. The authors recommend incorporating a specific test on innovation impacts in the ex-ante impact assessment of EU legislation as well as in ex-post evaluation. There is ample potential for fostering innovation by reviewing the EU regulatory acquis.

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The paper lays down a strategy consisting of Innovation, Internalisation of Externalities, and Integration – called Triple I. ‘Innovation’ is seen along value chain management in a systems perspective, driven by competition and participation of stakeholders. ‘Internalisation’ refers to endogenous efforts by industry to assess externalities and to foster knowledge generation that leads to benefits for both business and society. ‘Integration’ highlights the role business and its various forms of cooperation might play in policy integration within Europe and beyond. Looking forward towards measures to be taken, the paper explores some frontiers for a partnership between public and private sector: i) Increasing resource productivity, lowering material cost, ii) Energy integration with Southeast Europe and Northern Africa, iii) Urban mobility services and public transport, iv) Tradable emission permits beyond Europe. Finally, some conclusions from the perspective of the College of Europe are drawn.

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The ability to innovate is generally accepted as a critical success factor to growth and future performance of firms. Yet, this acceptance obscures a comprehensive perspective on how firms can influence their innovation capacity and resulting performance. This paper proposes a '3P' construct of innovation measurement that simultaneously considers the Posture, Propensity and Performance related to a firm's innovation capabilities. We propose and provide empirical support showing that robust measurement of the performance implications of innovation requires the consideration of input, throughput and output factors simultaneously. Single or more limited indicators do not offer the degree of fine-tuning to a firm's innovation system that managers require. Thus, we propose the development, and future research into contingent variations, of a Composite Innovation Index (CII). We further demonstrate its use in comparing innovators and allowing managers to design a firm's innovation system.

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The increasing engagement of firms within global knowledge and production networks and their ability to source knowledge globally as well as locally (GloCally), for the development of innovation capacities will shape the future of UK's knowledge resources and its role in the global economy. Practices such as off-shoring R&D activities are widely adopted, creating challenging, and not very well understood, issues related to cross-country and inter-firm knowledge and technology flows. We seek to address the internationalisation and networking of research and innovation activities, including the roles and strategies of enterprises, universities, research centres, governments in a cross-country and inter-sectoral way, to assess the impact and the implications for sustaining and enhancing the competitiveness of UK firms and other British knowledge producers and users.

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Multinational companies' (MNCs) corporate social responsibility (CSR) programs frequently comprise a portfolio of disconnected country-level programs or, alternatively, consist of blanket corporate policies that apply in the same way across the geographies where the company operates. Yet, the international nonmarket environment in which CSR programs operate is neither a completely fragmented nor a perfectly homogeneous one. Building on the concept of stakeholder-issue-networks, we develop a model that explicitly takes into consideration the role of geography in the characterization of a firm's nonmarket environment. This allows us to develop a taxonomy of nonmarket environments on the basis of their geographic spread and their degree of cross-border connectedness. We then explore the strategic and organizational implications that different ideal types of (cross-border) nonmarket environments have for the development of international CSR policies.

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The European Union has prioritised the pursuit of innovation based growth and targeting of resources to promote research and development, but performance on innovation remains weak.With the lack of results comes fatigue, waning interest and mounting criticism about policy. Should the EU abandon its ambition to become the most innovative region in the world?We examine EU member state research and innovation policies. We assess whether the deployment of innovation policy instruments in EU countries matches their innovation capacity performance relative to other EU countries.We find a relative homogeneity of policy mixes in EU countries, despite the fairly wide and stable differences in their innovation capacities.Our analysis therefore provides a rationale for a more comprehensive review of innovation policy mixes to assess their adequacy in addressing country specific innovation challenges.

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Questions of "viability" evaluation of innovation projects are considered in this article. As a method of evaluation Hidden Markov Models are used. Problem of determining model parameters, which reproduce test data with highest accuracy are solving. For training the model statistical data on the implementation of innovative projects are used. Baum-Welch algorithm is used as a training algorithm.

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The sheathed filamentous bacterium known as strain CT3, isolated by micromanipulation from an activated sludge treatment plant in Italy, is a member of the genus Thiothrix in the gamma-Proteobacteria according to 16S rDNA sequence analysis. The closest phylogenetic neighbours of strain CT3 are strains I and Q(T), which were also isolated from activated sludge and belong to the species Thiothrix fructosivorans. These strains have respectively 99.2 and 99.4 % similarity to CT3 by 16S rDNA sequence comparison. CT3 shows 63-67 % DNA-DNA hybridization with strain I, which is the only currently viable strain of T. fructosivorans. CT3 is the second strain in the genus Thiothrix that has been shown to be capable of growing autotrophically with reduced sulfur compounds as the sole energy source; autotrophy was also confirmed in strain I. The first reported chemolithoautotrophic isolate of this genus was a strain of 'Thiothrix ramosa' that was isolated from a hydrogen sulfide spring and is morphologically distinguishable from all other described strains of Thiothrix, including CT3. CT3 is an aerobic organism that is non-fermentative, not capable of denitrification and able to grow heterotrophically. Autotrophy in the genus Thiothrix should be investigated more fully to better define the taxonomy of this genus.