9 resultados para Disorderly conduct

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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World Conference on Psychology and Sociology 2012

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Most fisheries agencies conduct biological and economic assessments independently. This independent conduct may lead to situations in which economists reject management plans proposed by biologists. The objective of this study is to show how to find optimal strategies that may satisfy biologists and economists' conditions. In particular we characterize optimal fishing trajectories that maximize the present value of a discounted economic indicator taking into account the age-structure of the population as in stock assessment methodologies. This approach is applied to the Northern Stock of Hake. Our main empirical findings are: i) Optimal policy may be far away from any of the classical scenarios proposed by biologists, ii) The more the future is discounted, the higher the likelihood of finding contradictions among scenarios proposed by biologists and conclusions from economic analysis, iii) Optimal management reduces the risk of the stock falling under precautionary levels, especially if the future is not discounted to much, and iv) Optimal stationary fishing rate may be very different depending on the economic indicator used as reference.

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[ES] En este trabajo analizamos las posibles vías de desarrollar otro modelo de empresa multinacional desde tres puntos de vista. En primer lugar, analizaremos el papel que pueden desempeñar los códigos de conducta como instrumentos complementarios para diseñar una política social internacional. En segundo lugar, realizamos una breve reflexión sobre la cooperativa multinacional, o la cooperativa global, como alternativa cooperativa al modelo de empresa multinacional imperante. Por último, en tercer lugar, desde un punto de vista más amplio, nos referimos a las posibilidades de desarrollar un modelo de empresa multinacional más democrática. En este sentido, estudiamos algunos condicionantes que afectan al funcionamiento y a los procesos de decisión de las empresas multinacionales, en concreto nos referimos a los mecanismos de coordinación entre las diferentes unidades de la estructura multinacional y a las características de las filiales, en cuanto a su fortaleza o calidad.

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[ES] Las Pymes colombianas, al igual que las de América Latina, afrontan una serie de barreras para la exportación asociadas a la carencia de recursos y capacidades organizacionales y directivas, las cuales hacen que su permanencia en los mercados internacionales sea cuestionable. Al no superar tales barreras y mostrar una posición competitiva más fuerte difícilmente éstas podrán penetrar y sobrevivir en los mercados internacionales y aprovechar las grandes oportunidades que ofrece el mercado mundial. Especialmente, aquéllas que surgen como resultado de los acuerdos de integración y de los sistemas de preferencia suscritos y otorgados a Colombia.

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Research on moral cleansing and moral self-licensing has introduced dynamic considerations in the theory of moral behavior. Past bad actions trigger negative feelings that make people more likely to engage in future moral behavior to offset them. Symmetrically, past good deeds favor a positive self-perception that creates licensing effects, leading people to engage in behavior that is less likely to be moral. In short, a deviation from a “normal state of being” is balanced with a subsequent action that compensates the prior behavior. We model the decision of an individual trying to reach the optimal level of moral self-worth over time and show that under certain conditions the optimal sequence of actions follows a regular pattern which combines good and bad actions. We conduct an economic experiment where subjects play a sequence of giving decisions (dictator games) to explore this phenomenon. We find that donation in the previous period affects present decisions and the sign is negative: participants’ behavior in every round is negatively correlated to what they did in the past. Hence donations over time seem to be the result of a regular pattern of self-regulation: moral licensing (being selfish after altruist) and cleansing (altruistic after selfish).

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The European Commission Report on Competition in Professional Services found that recommended prices by professional bodies have a significant negative effect on competition since they may facilitate the coordination of prices between service providers and/or mislead consumers about reasonable price levels. Professional associations argue, first, that a fee schedule may help their members to properly calculate the cost of services avoiding excessive charges and reducing consumers’ searching costs and, second, that recommended prices are very useful for cost appraisal if a litigant is condemned to pay the legal expenses of the opposing party. Thus, recommended fee schedules could be justified to some extent if they represented the cost of providing the services. We test this hypothesis using cross‐section data on a subset of recommended prices by 52 Spanish bar associations and cost data on their territorial jurisdictions. Our empirical results indicate that prices recommended by bar associations are unrelated to the cost of legal services and therefore we conclude that recommended prices have merely an anticompetitive effect.

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Este trabajo ha recibido el “Primer Premio Delegación del Gobierno en Aragón a las buenas prácticas contra la delincuencia juvenil” (Convocatoria 2007).

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DNA microarray, or DNA chip, is a technology that allows us to obtain the expression level of many genes in a single experiment. The fact that numerical expression values can be easily obtained gives us the possibility to use multiple statistical techniques of data analysis. In this project microarray data is obtained from Gene Expression Omnibus, the repository of National Center for Biotechnology Information (NCBI). Then, the noise is removed and data is normalized, also we use hypothesis tests to find the most relevant genes that may be involved in a disease and use machine learning methods like KNN, Random Forest or Kmeans. For performing the analysis we use Bioconductor, packages in R for the analysis of biological data, and we conduct a case study in Alzheimer disease. The complete code can be found in https://github.com/alberto-poncelas/ bioc-alzheimer