17 resultados para Best-seller

em Consorci de Serveis Universitaris de Catalunya (CSUC), Spain


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L’objectiu d’aquest projecte és analitzar la qualitat literària dels best sellers i observar les limitacions d’aquest anàlisi. Deguda la complexitat del fenòmen best seller, i tot i ser conscients de que són obres que s’han d’abordar des d’una perspectiva pluridisciplinar, vam decidir començar aquest projecte analitzant tres best sellers espanyols des de la metodologia de l’estilística i de la narratologia. Les obres analitzades són 'La sombra del viento' de Carlos Ruiz Zafón, 'Un milagro en equilibrio', de Lucía Etxevarría, i 'El capitán Alatriste', de Pérez Reverte, i l’anàlisi és de tipus quantitatiu, de les estructures emprades per a l’expressió de lo metafòric, dels personatges, trames i tòpics. Les conclusions varen ser que, des d’un punt de vista estilístic, es pot demostrar la mala qualitat literària d’aquestes obres, així com la seva relació amb la tradició del gènere del folletí, amb el que comparteixen moltes característiques. Tanmateix, una altra de les conclusions de l’estudi fou que abordar el best seller des de l’estilística no ofereix una visió completa d’aquest fenòmen. Aquest projecte doncs, que té per títol “Estudio estilístico de tres casos de best seller en el ámbito español: 'La sombra del viento', 'Un milagro en equilibrio' y 'El capitán Alatriste'” ha d’ampliar-se en catàleg i en metodologia, adoptant vàries perspectives simultàneament, que ofereixin una visió adecuada de la complexitat del fenòmen. El catàleg s’ha extès a 15 obres en l’àmbit espanyol, i a 15 més en l’àmbit francès, durant el 2008, i la perspectiva multidisciplinar engloba estudis culturals, de recepció i sociologia. Des d’aquesta nova base metodològica i teòrica, s’han realitzat 500 enquestes a lectors a Barcelona i a París, en diferents punts de venta de llibres, durant el 2010.

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We analyze the classical Bertrand model when consumers exhibit some strategic behavior in deciding from which seller they will buy. We use two related but different tools. Both consider a probabilistic learning (or evolutionary) mechanism, and in the two of them consumers' behavior in uences the competition between the sellers. The results obtained show that, in general, developing some sort of loyalty is a good strategy for the buyers as it works in their best interest. First, we consider a learning procedure described by a deterministic dynamic system and, using strong simplifying assumptions, we can produce a description of the process behavior. Second, we use nite automata to represent the strategies played by the agents and an adaptive process based on genetic algorithms to simulate the stochastic process of learning. By doing so we can relax some of the strong assumptions used in the rst approach and still obtain the same basic results. It is suggested that the limitations of the rst approach (analytical) provide a good motivation for the second approach (Agent-Based). Indeed, although both approaches address the same problem, the use of Agent-Based computational techniques allows us to relax hypothesis and overcome the limitations of the analytical approach.

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We report on a series of experiments that examine bidding behavior in first-price sealed bid auctions with symmetric and asymmetric bidders. To study the extent of strategic behavior, we use an experimental design that elicits bidders' complete bid functions in each round (auction) of the experiment. In the aggregate, behavior is consistent with the basic equilibrium predictions for risk neutral or homogenous risk averse bidders (extent of bid shading, average seller's revenues and deviations from equilibrium). However, when we look at the extent of best reply behavior and the shape of bid functions, we find that individual behavior is not in line with the received equilibrium models, although it exhibits strategic sophistication.

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The aim of this paper is to suggest a method to find endogenously the points that group the individuals of a given distribution in k clusters, where k is endogenously determined. These points are the cut-points. Thus, we need to determine a partition of the N individuals into a number k of groups, in such way that individuals in the same group are as alike as possible, but as distinct as possible from individuals in other groups. This method can be applied to endogenously identify k groups in income distributions: possible applications can be poverty

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We report experimental results on one-shot two person 3x3 constant sum games played by non-economists without previous experience in the laboratory. Although strategically our games are very similar to previous experiments in which game theory predictions fail dramatically, 80% of actions taken in our experiment coincided with the prediction of the unique Nash equilibrium in pure strategies and 73% of actions were best responses to elicited beliefs. We argue how social preferences, presentation effects and belief elicitation procedures may influence how subjects play in simple but non trivial games and explain the diferences we observe with respect to previous work.

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Recent empirical evidence has found that employment services and small-business assistance programmes are often successful at getting the unemployed back to work. Â One important concern of policy makers is to decide which of these two programmes is more effective and for whom. Â Using unusually rich (for transition economies) survey data and matching methods, I evaluate the relative effectiveness of these two programmes in Romania. Â While I find that employment services (ES) are, on average, more successful than a small-business assistance programme (SBA), estimation of heterogeneity effects reveals that, compared to non-participation, ES are effective for workers with little access to informal search channels, and SBA works for less-qualified workers and those living in rural areas. Â When comparing ES to SBA, I find that ES tend to be more efficient than SBA for workers without a high-school degree, and that the opposite holds for the more educated workers.

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La aparición de nuevos tipos de aplicaciones, como vídeo bajo demanda, realidad virtual y videoconferencias entre otras, caracterizadas por la necesidad de cumplir sus deadlines. Este tipo de aplicaciones, han sido denominadas en la literatura aplicaciones soft-real time (SRT) periódicas. Este trabajo se centra en el problema de la planificación temporal de este nuevo tipo de aplicaciones en clusters no dedicados.

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We study firms' corporate governance in environments where possibly heterogeneous shareholders compete for possibly heterogeneous managers. A firm, formed by a shareholder and a manager, can sign either an incentive contract or a contract including a Code of Best Practice. A Code allows for a better manager's control but makes manager's decisions hard to react when market conditions change. It tends to be adopted in markets with low volatility and in low-competitive environments. The firms with the best projects tend to adopt the Code when managers are not too heterogeneous while the best managers tend to be hired through incentive contracts when the projects are similar. Although the matching between shareholders and managers is often positively assortative, the shareholders with the best projects might be willing to renounce to hire the best managers, signing contracts including Codes with lower-ability managers.

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En el presente estudio se analizan los sistemas de gestión de RSU de Alemania, Noruega y California, considerados best-practices, desde la perspectiva de la creación de las políticas que los han hecho posibles. De este análisis se destacan como elementos importantes el liderazgo institucional, los acuerdos con la industria y el debate social. Posteriormente se analiza el caso de España y de Cataluña, comparándolo con los casos destacados y los elementos seleccionados. En este análisis se sigue la evolución de su legislación, planes y programas y se consideran los elementos que definen el panorama actual. Finalmente, siguiendo las recomendaciones de diversos autores y la voluntad del actual programa catalán, se plantea un sistema participativo para la elaboración de estas políticas.

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Vegeu el resum a l'inici del document de l'arxiu adjunt

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El projecte COIM-BEST ha investigat com, per mitjà de la formació, es pot millorar la coordinació entre múltiples agències per fer front a les situacions crítiques que es produeixen en les grans emergències. Entre les conclusions de l’estudi COIM-BEST, que ja ha rebut bones valoracions per part de la comissió europea, es destaca la necessitat d’una bona coordinació entre els cossos i agents que participen en la gestió de les grans crisis, generar una confiança entre aquests actors, harmonitzar la formació i una bona articulació de les categories de comandament que es fan càrrec de la direcció de la gestió de l’emergència. El projecte COIM-BEST s'emmarca en el Programa per a la prevenció, preparació i gestió de les conseqüències del terrorisme i altres riscos relacionats amb la seguretat (CIPS) de la Direcció General de Justícia, Llibertat i Seguretat de la Comissió Europea i compta amb la col·laboració de l‘Institut de Seguretat Pública de Catalunya, la Fondazione per la Ricerca sulle Migrazione e Integrazione delle Tecnologie (FORMIT), el Global Law Enforcement Institute i la Universitat Politècnica de Catalunya

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Designs of CSCL (Computer Supported Collaborative Learning)activities should be flexible, effective and customizable toparticular learning situations. On the other hand, structureddesigns aim to create favourable conditions for learning. Thus,this paper proposes the collection of representative and broadlyaccepted (best practices) structuring techniques in collaborative learning. With the aim of establishing a conceptual common ground among collaborative learning practitioners and softwaredevelopers, and reusing the expertise that best practicesrepresent, the paper also proposes the formulation of these techniques as patterns: the so-called CLFPs (CollaborativeLearning Flow Patterns). To formalize these patterns, we havechosen the educational modelling language IMS Learning Design (IMS-LD). IMS-LD has the capability to specify many of the collaborative characteristics of the CLFPs. Nevertheless, the language bears limited capability for describing the services that mediate interactions within a learning activity and the specification of temporal or rotated roles. This analysis isdiscussed in the paper, as well as our approaches towards thedevelopment of a system capable of integrating tools using IMSLDscripts and a CLFP-based Learning Design authoring tool.

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The effectiveness of decision rules depends on characteristics of bothrules and environments. A theoretical analysis of environments specifiesthe relative predictive accuracies of the lexicographic rule 'take-the-best'(TTB) and other simple strategies for binary choice. We identify threefactors: how the environment weights variables; characteristics of choicesets; and error. For cases involving from three to five binary cues, TTBis effective across many environments. However, hybrids of equal weights(EW) and TTB models are more effective as environments become morecompensatory. In the presence of error, TTB and similar models do not predictmuch better than a naïve model that exploits dominance. We emphasizepsychological implications and the need for more complete theories of theenvironment that include the role of error.

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We characterize the approach regions so that the non-tangential maximal function is of weak-type on potential spaces, for which we use a simple argument involving Carleson measure estimates.

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The EAUN Guidelines Working Group for indwelling catheters have prepared this guideline document to help nurses assess the evidence-based management of catheter care and to incorporate the guidelines’ recommendations into their clinical practice. These guidelines are not meant to be proscriptive, nor will adherence to these guidelines guarantee a successful outcome in all cases. Ultimately, decisions regarding care must be made on a case-by-case basis by healthcare professionals after consultation with their patients using their clinical judgement, knowledge and expertise.