28 resultados para Lalor, F. R. (Francis Ramsey), 1856-1929

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


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The aim of this paper is to analyze how active R&D policies affect the growth rate of an economy with endogenous growth and non-renewable resources. We know from Scholz and Ziemens (1999) and Groth (2006) that in infinitely lived agents (ILA) economies, any active R&D policy increases the growth rate of the economy. To see if this result also appears in economies with finite lifetime agents, we developed an endogenous growth overlapping generations (OLG) economy à la Diamond which uses non-renewable resources as essential inputs in final good’s production. We show analytically that any R&D policy that reduces the use of natural resources implies a raise in the growth rate of the economy. Numerically we show that in economies with low intertemporal elasticity of substitution (IES), active R&D policies lead the economy to increase the depletion of non-renewable resources. Nevertheless, we find that active R&D policies always imply increases in the endogenous growth rate, in both scenarios. Furthermore, when the IES coefficient is lower (greater) than one, active R&D policies affect the growth rate of the economy in the ILA more (less) than in OLG economies.

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Iker bilduma = Colección Iker, nº 17

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Este árticulo explica que el derecho de la información es uno de los denominados derechos individuales del accionista o socio, que se deriva de la titularidad de acciones o participaciones, derecho fundamental e inherente a la condición de socio, e inderogable, que se ostenta por normas imperativas que reconocen dicho derecho. Contribuye a un mayor control y participación del socio en la marcha de la sociedad ya que trata de facilitar a los socios un conocimiento directo sobre la situación y gestión social constituyendo, por tanto, uno de los más importantes derechos del mismo.

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[EN]Probability models on permutations associate a probability value to each of the permutations on n items. This paper considers two popular probability models, the Mallows model and the Generalized Mallows model. We describe methods for making inference, sampling and learning such distributions, some of which are novel in the literature. This paper also describes operations for permutations, with special attention in those related with the Kendall and Cayley distances and the random generation of permutations. These operations are of key importance for the efficient computation of the operations on distributions. These algorithms are implemented in the associated R package. Moreover, the internal code is written in C++.

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Background: Gene expression technologies have opened up new ways to diagnose and treat cancer and other diseases. Clustering algorithms are a useful approach with which to analyze genome expression data. They attempt to partition the genes into groups exhibiting similar patterns of variation in expression level. An important problem associated with gene classification is to discern whether the clustering process can find a relevant partition as well as the identification of new genes classes. There are two key aspects to classification: the estimation of the number of clusters, and the decision as to whether a new unit (gene, tumor sample ... ) belongs to one of these previously identified clusters or to a new group. Results: ICGE is a user-friendly R package which provides many functions related to this problem: identify the number of clusters using mixed variables, usually found by applied biomedical researchers; detect whether the data have a cluster structure; identify whether a new unit belongs to one of the pre-identified clusters or to a novel group, and classify new units into the corresponding cluster. The functions in the ICGE package are accompanied by help files and easy examples to facilitate its use. Conclusions: We demonstrate the utility of ICGE by analyzing simulated and real data sets. The results show that ICGE could be very useful to a broad research community.

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Support in R for state space estimation via Kalman filtering was limited to one package, until fairly recently. In the last five years, the situation has changed with no less than four additional packages offering general implementations of the Kalman filter, including in some cases smoothing, simulation smoothing and other functionality. This paper reviews some of the offerings in R to help the prospective user to make an informed choice.

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3 cartas (manuscritas) ; entre 210x265mm y 161x222mm. Ubicación: Caja 1 - Carpeta 23

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8 cartas (manuscritas) y 1 carta (manuscrita y mecanografiada) ; entre 160x180mm y 320x200mm. Ubicación: Caja 1 - Carpeta 40

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12 cartas y 2 notas (manuscritas) ; entre 160x215mm y 240x350mm. Ubicación: Caja 1 - Carpeta 41

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12 cartas (manuscritas) ; entre 215x230mm y 210x2970mm. Ubicación: Caja 1 - Carpeta 41

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1 tarjeta (manuscrita) ; 136x92mm. Ubicación: Caja 1 - Carpeta 83

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1 carta (mecanografiada) ; 320x205mm.

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1 tarjeta postal y 1 carta (manuscritas) ; entre 140x90mm y 215x275mm

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Mediante Western blot y cultivos celulares, en el presente trabajo se han observado las variaciones en el número de espinas dend­ticas y sinapsis en neuronas del hipocampo de ratas macho de tres meses de edad, cuando se activa o se inhibe el receptor de neurokinina 3 (NK3-R) mediante drogas agonistas o antagonistas. Se ha visto que el gen de este receptor tiene una menor expresión en ratas muy ansiosas en comparación con las poco ansiosas, por lo que se pretende estudiar las implicaciones que pueda tener esta proteína en el trastorno de ansiedad.