991 resultados para Efficient implementation
                                
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Economic activities, both on the macro and micro level, often entail wide-spread externalities. This in turn leads to disputes regarding the compensation levels to the various parties affected. We propose a general, yet simple, method of deciding upon the distribution of the gains (costs) of cooperation in the presence of externalities. This method is shown to be the unique one satisfying several desirable properties. Furthermore, we illustrate the use of this method to resolve the sharing of benefits generated by international climate control agreements.
                                
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In this paper, we suggest a simple sequential mechanism whose subgame perfect equilibria give rise to efficient networks. Moreover, the payoffs received by the agents coincide with their Shapley value in an appropriately defined cooperative game.
                                
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We study the assignment of indivisible objects with quotas (houses, jobs, or offices) to a set of agents (students, job applicants, or professors). Each agent receives at most one object and monetary compensations are not possible. We characterize efficient priority rules by efficiency, strategy-proofness, and renegotiation-proofness. Such a rule respects an acyclical priority structure and the allocations can be determined using the deferred acceptance algorithm.
                                
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In this paper we present a set of axioms guaranteeing that, in exchange economies with or without indivisible goods, the set of Nash, Strong and active Walrasian Equilibria all coincide in the framework of market games.
                                
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In this paper, we consider two classes of economic environments. In the first type, agents are faced with the task of providing local public goods that will benefit some or all of them. In the second type, economic activity takes place via formation of links. Agents need both to both form a network and decide how to share the output generated. For both scenarios, we suggest a bidding mechanism whereby agents bid for the right to decide upon the organization of the economic activity. The subgame perfect equilibria of this game generate efficient outcomes.
                                
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We consider collective choice problems where a set of agents have to choose an alternative from a finite set and agents may or may not become users of the chosen alternative. An allocation is a pair given by the chosen alternative and the set of its users. Agents have gregarious preferences over allocations: given an allocation, they prefer that the set of users becomes larger. We require that the final allocation be efficient and stable (no agent can be forced to be a user and no agent who wants to be a user can be excluded). We propose a two-stage sequential mechanism whose unique subgame perfect equilibrium outcome is an efficient and stable allocation which also satisfies a maximal participation property.
                                
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El present estudi es centra en els programes d’activitat física adreçats a persones grans en situació de dependència, que es esenvolupen en grup i que utilitzen el moviment actiu com a principal eina de treball. Es tracta d’una recerca que, per una banda, estudia i analitza les bases teòriques que avalen la importància i la necessitat de l’aplicació d’aquest tipus de programes. Per l’altra, justifica i defineix, amb detall, les línies directrius que han de guiar el seu desenvolupament i la seva aplicació en l’àmbit d’institucions d’atenció a les persones grans (residències, centres de dia i centres sòciosanitaris). El marc conceptual (capítol II) es construeix a partir d’una àmplia recerca bibliogràfica sobre les quatre dimensions d’anàlisi clau (l’envelliment, la dependència, l’atenció a les persones grans i l’activitat física) que fonamenta i justifica la proposta de programa que es fa en la segona part (capítol III). En aquesta es defineixen els referents, les finalitats, els objectius, els recursos que es poden utilitzar, les indicacions bàsiques per a organitzar el treball, els aspectes metodològics essencials per a l’aplicació del programa i les condicions necessàries per a poder-lo implementar. El resultat de tot el procés de recerca i estudi permet dir que, a nivell teòric, l’activitat física és una eina útil, eficaç i amb moltes possibilitats cara a l’atenció a les persones grans en situació de dependència. Que els esmentats programes han de ser fruit d’un procés de planificació, han de considerar les diferents dimensions de l’ésser en interacció constant, han de ser aplicats donant més importància al procés que al producte i que els recursos disponibles s’han d’utilitzar d’acord amb aquests plantejaments. En les línies de futur per a aquesta recerca, es planteja la seva continuació a partir de l’aplicació del programa VAFiD en diferents grups i la seva avaluació (seguint el model d’avaluació responent de Robert Stake) per determinar-ne la coherència i la qualitat.
                                
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Paper presented at the 2000 seminar of the International Chair in Olympism. The main topic includes references to how the demand of public investment must be legitimized in terms of public benefits that can be vindicated. The author tries to review the values of this legitimation individually and closely.
                                
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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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BACKGROUND: A reorganization of healthcare systems is required to meet the challenge of the increasing prevalence of chronic diseases, e.g. diabetes. In North-America and Europe, several countries have thus developed national or regional chronic disease management programs. In Switzerland, such initiatives have only emerged recently. In 2010, the canton of Vaud set up the "Diabetes Cantonal Program", within the framework of which we conducted a study designed to ascertain the opinions of both diabetic patients and healthcare professionals on the elements that could be integrated into this program, the barriers and facilitators to its development, and the incentives that could motivate these actors to participate. METHODS: We organized eight focus-groups: one with diabetic patients and one with healthcare professionals in the four sanitary areas of the canton of Vaud. The discussions were recorded, transcribed and submitted to a thematic content analysis. RESULTS: Patients and healthcare professionals were rather in favour of the implementation of a cantonal program, although patients were more cautious concerning its necessity. All participants envisioned a set of elements that could be integrated to this program. They also considered that the program could be developed more easily if it were adapted to patients' and professionals' needs and if it used existing structures and professionals. The difficulty to motivate both patients and professionals to participate was mentioned as a barrier to the development of this program however. Quality or financial incentives could therefore be created to overcome this potential problem. CONCLUSION: The identification of the elements to consider, barriers, facilitators and incentives to participate to a chronic disease management program, obtained by exploring the opinions of patients and healthcare professionals, should favour its further development and implementation.
                                
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Forest fires are a serious threat to humans and nature from an ecological, social and economic point of view. Predicting their behaviour by simulation still delivers unreliable results and remains a challenging task. Latest approaches try to calibrate input variables, often tainted with imprecision, using optimisation techniques like Genetic Algorithms. To converge faster towards fitter solutions, the GA is guided with knowledge obtained from historical or synthetical fires. We developed a robust and efficient knowledge storage and retrieval method. Nearest neighbour search is applied to find the fire configuration from knowledge base most similar to the current configuration. Therefore, a distance measure was elaborated and implemented in several ways. Experiments show the performance of the different implementations regarding occupied storage and retrieval time with overly satisfactory results.
                                
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During the last two decades there has been an increase in using dynamic tariffs for billing household electricity consumption. This has questioned the suitability of traditional pricing schemes, such as two-part tariffs, since they contribute to create marked peak and offpeak demands. The aim of this paper is to assess if two-part tariffs are an efficient pricing scheme using Spanish household electricity microdata. An ordered probit model with instrumental variables on the determinants of power level choice and non-paramentric spline regressions on the electricity price distribution will allow us to distinguish between the tariff structure choice and the simultaneous demand decisions. We conclude that electricity consumption and dwellings’ and individuals’ characteristics are key determinants of the fixed charge paid by Spanish households Finally, the results point to the inefficiency of the two-part tariff as those consumers who consume more electricity pay a lower price than the others.
                                
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BACKGROUND: Robot surgery is a further step towards new potential developments in minimally invasive surgery. Surgeons must keep abreast of these new technologies and learn their limits and possibilities. Robot-assisted laparoscopic cholecystectomy has not yet been performed in our institution. The purpose of this report is to present the pathway of implementation of robotic laparoscopic cholecystectomy in a university hospital. METHODS: The Zeus(R) robot system was used. Experimental training was performed on animals. The results of our experimental training allowed us to perform our first two clinical cases. RESULTS: Robot arm set-up and trocar placement required 53 and 35 minutes. Operative time were 59 and 45 minutes respectively. The overall operative time was 112 and 80 minutes, respectively. There were no intraoperative complications. Patients were discharged from the hospital after an overnight stay. CONCLUSION: Robotic laparoscopic cholecystectomy is safe and patient recovery similar to those of standard laparoscopy. At present, there are no advantages of robotic over conventional surgery. Nevertheless, robots have the potential to revolutionise the way surgery is performed. Robot surgery is not reserved for a happy few. This technology deserves more attention because it has the potential to change the way surgery is performed.
                                
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2007 was marked by a growing trend towards minimal invasive surgery and enhanced recovery, especially in visceral surgery. In comparison to the laparoscopic revolution in the eighties, Natural orifice transluminal endoscopic surgery (NOTES) must be watched on closely, and will probably have to be taken into account in a near future. Minimal invasive procedures in oesophageal cancer surgery have proved both efficient and oncologically safe. Implementation of Fast track protocols now permits a much faster patient's return to normal daily activity. In hepatobiliary and pancreatic surgery, multidisciplinary efforts have been done to better select patients, widen the indications and increase efficiency.
                                
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JPEG2000 és el nou estàndard de compressió d’imatges impulsat pel Joint Photographics Experts Group, el qual defineix un protocol eficient per la transmissió interactiva d’imatges, anomenat JPIP. El Group on Interactive Coding of Images (GICI) té una implementació d’aquest protocol, CADI. En aquest projecte es realitza l’implementació del client d’aquest protocol en un dispositiu mòbil. Per això s’ha realitzat un estudi de les plataformes mòbils que hi ha actualment en el mercat. Finalment s’han proposat millores, en el descodificador, per reduir el temps de computació i la carrega de memòria.
 
                    