939 resultados para Traditional knowledge
Resumo:
Neste trabalho procuramos atualizar e acrescentar observações novas ao conhecimento dos Strepsiptera do Brasil. Descrevemos 4 espécies novas da família Myrmecolacidae, representados apenas por machos e uma espécie nova da família Halictophagidae, representada por macho, fêmea e hospedador. Registramos a ocorrência, no Brasil, de uma espécie da família Stylopidae, conhecida anteriormente da Argentina e fornecemos dados adicionais sôbre uma espécie da família Mengeidae, Triozocera paulistana Kogan, 1958. Baseados em HOFENEDER & FULMEK (1942-43) damos a lista dos hospedadores encontrados estilopizados no Brasil.
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The objective of this paper is to measure the impact of different kinds of knowledge and external economies on urban growth in an intraregional context. The main hypothesis is that knowledge leads to growth, and that this knowledge is related to the existence of agglomeration and network externalities in cities. We develop a three-tage methodology: first, we measure the amount and growth of knowledge in cities using the OCDE (2003) classification and employment data; second, we identify the spatial structure of the area of analysis (networks of cities); third, we combine the Glaeser - Henderson - De Lucio models with spatial econometric specifications in order to contrast the existence of spatially static (agglomeration) and spatially dynamic (network) external economies in an urban growth model. Results suggest that higher growth rates are associated to higher levels of technology and knowledge. The growth of the different kinds of knowledge is related to local and spatial factors (agglomeration and network externalities) and each knowledge intensity shows a particular response to these factors. These results have implications for policy design, since we can forecast and intervene on local knowledge development paths.
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No presente trabalho são redescritas as seguintes espécies do gênero Archytas Jaennicke, 1867: Archytas lateralis Macquart, 1842, Archytas metallicus Desvoidy, 1830; Archytas aterrimus Desvoidy, 1830 e Archytas willistoni Curran, 1925. São ainda descritas duas espécies novas, provenientes do Estado do Pará, Brasil: Archytas pearsoni e A. araujoi. O material estudado pertence à coleção do Instituto Oswaldo Cruz, Rio de Janeiro.
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In this paper the authors refere Philometra lateolabracis Yamaguti, 1935 for the first time from the Atlantic Ocean also as a new host record. They report the rpesence of one male of diminished dimensions, found in close relationship with the females of Ph. lateolabracis; as the male of this species is unknown, they admit the possibility of this small nematode be the male of this species.
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Scandals of selective reporting of clinical trial results by pharmaceutical firms have underlined the need for more transparency in clinical trials. We provide a theoretical framework which reproduces incentives for selective reporting and yields three key implications concerning regulation. First, a compulsory clinical trial registry complemented through a voluntary clinical trial results database can implement full transparency (the existence of all trials as well as their results is known). Second, full transparency comes at a price. It has a deterrence effect on the incentives to conduct clinical trials, as it reduces the firms'gains from trials. Third, in principle, a voluntary clinical trial results database without a compulsory registry is a superior regulatory tool; but we provide some qualified support for additional compulsory registries when medical decision-makers cannot anticipate correctly the drug companies' decisions whether to conduct trials. Keywords: pharmaceutical firms, strategic information transmission, clinical trials, registries, results databases, scientific knowledge JEL classification: D72, I18, L15
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To what extent do and could e-tools contribute to a democracy like Switzerland? This paper puts forward experiences and visions concerning the application of e-tools for the most traditional democratic processes- elections and, of special importance in Switzerland, direct-democratic votes.Having the particular voting behaviour of the Swiss electorate in mind (low voter turnout - especially among the youngest age group, low political knowledge, etc.) we believe that e-tools which provide information in the forefront of elections or direct-democratic votes offer an enormous service to the voter. As soon as e-voting will be possible in Switzerland (as planned by the government), those e-tools for gathering information online will become indispensable and will gain power enormously. Therefore political scientists should not only focus on potential effects of e-voting itself but rather on the combination of (connected)e-tools of the pre-voting and the voting sphere. In the case of Switzerland, we argue in this paper, the offer of VAAs such as smartvote for elections and direct-democratic votes can provide the voter with more balanced and qualitatively higher information and thereby make a valuable contribution to the Swiss democracy.
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The objective of this paper is to re-evaluate the attitude to effort of a risk-averse decision-maker in an evolving environment. In the classic analysis, the space of efforts is generally discretized. More realistic, this new approach emploies a continuum of effort levels. The presence of multiple possible efforts and performance levels provides a better basis for explaining real economic phenomena. The traditional approach (see, Laffont, J. J. & Tirole, J., 1993, Salanie, B., 1997, Laffont, J.J. and Martimort, D, 2002, among others) does not take into account the potential effect of the system dynamics on the agent's behavior to effort over time. In the context of a Principal-agent relationship, not only the incentives of the Principal can determine the private agent to allocate a good effort, but also the evolution of the dynamic system. The incentives can be ineffective when the environment does not incite the agent to invest a good effort. This explains why, some effici
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First and second instar larvae of some Sarcophagidae (Diptera) of the tribe Raviniini are described on observations with a scanning electron microscope.
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L1, L2 and L3 of Oxysarcodexia paulistanensis (Mattos), L3 of O. confusa Lopes, L2 of Ravinia belforti (Prado & Fonseca) and L2 of Oxyvinia excisa (Lopes) were described and figured using scanning electron microscope.
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Gestures are the first forms of conventional communication that young children develop in order to intentionally convey a specific message. However, at first, infants rarely communicate successfully with their gestures, prompting caregivers to interpret them. Although the role of caregivers in early communication development has been examined, little is known about how caregivers attribute a specific communicative function to infants' gestures. In this study, we argue that caregivers rely on the knowledge about the referent that is shared with infants in order to interpret what communicative function infants wish to convey with their gestures. We videotaped interactions from six caregiver-infant dyads playing with toys when infants were 8, 10, 12, 14, and 16 months old. We coded infants' gesture production and we determined whether caregivers interpreted those gestures as conveying a clear communicative function or not; we also coded whether infants used objects according to their conventions of use as a measure of shared knowledge about the referent. Results revealed an association between infants' increasing knowledge of object use and maternal interpretations of infants' gestures as conveying a clear communicative function. Our findings emphasize the importance of shared knowledge in shaping infants' emergent communicative skills.
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The algorithmic approach to data modelling has developed rapidly these last years, in particular methods based on data mining and machine learning have been used in a growing number of applications. These methods follow a data-driven methodology, aiming at providing the best possible generalization and predictive abilities instead of concentrating on the properties of the data model. One of the most successful groups of such methods is known as Support Vector algorithms. Following the fruitful developments in applying Support Vector algorithms to spatial data, this paper introduces a new extension of the traditional support vector regression (SVR) algorithm. This extension allows for the simultaneous modelling of environmental data at several spatial scales. The joint influence of environmental processes presenting different patterns at different scales is here learned automatically from data, providing the optimum mixture of short and large-scale models. The method is adaptive to the spatial scale of the data. With this advantage, it can provide efficient means to model local anomalies that may typically arise in situations at an early phase of an environmental emergency. However, the proposed approach still requires some prior knowledge on the possible existence of such short-scale patterns. This is a possible limitation of the method for its implementation in early warning systems. The purpose of this paper is to present the multi-scale SVR model and to illustrate its use with an application to the mapping of Cs137 activity given the measurements taken in the region of Briansk following the Chernobyl accident.
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En els darrers temps el debat dels agrocombustibles s’ha caracteritzat per l’aparició d’incerteses científiques i la discussió dels impactes ambientals i socioeconòmics, sovint difícils de mesurar i quantificar, que es podrien derivar de la implementació de la política pública d’impuls d’aquesta nova font energètica. Els sistemes tradicionals d’avaluació experta i les eines de decisió polítiques es veuen limitats per trobar solucions als problemes ambientals complexes com és el dels agrocombustibles, ja que es basen en el coneixement disciplinari i la previsió, sense considerar de forma explícita les incerteses. En l’estudi del debat i del procés d’elaboració de la política pública s’ha percebut una manca d’espais de comunicació i presa de decisions estructurats i integradors. Davant d’aquest context, en aquest treball s’ha dissenyat un procés participatiu d’avaluació de la implementació de la política pública. La proposta elaborada consta d’uns escenaris de futur sobre l’aplicació dels agrocombustibles a Catalunya, que han de ser valorats de forma participativa en grups de discussió. La identificació de les variables determinants i els nous escenaris de futur que resulten del procés, esdevindrien la informació per a reiniciar un nou procés d’avaluació. L’aplicació de nous procediments i noves eines d’anàlisi pot ser útil per reestructurar el problema i fonamentar les decisions polítiques, per tal d’augmentar-ne l’eficàcia,la legitimitat, i assegurar-ne criteris social i ambientalment justos.