Ownership Structure and Innovation: Is There a Real Link?

This work intends to analyse the influence that several aspects internal to the firm have on the firms? innovative output. Although the theoretical model is based in the literature on innovation, it pays special attention on the impact of ownership structure, as stated by the theory of the agent. We test different hypothesis related to variables which explain how the ownership structure adopted by a firm can lead into different innovative efforts, a topic which has barely been studied so far. We are especially interested in considering the type of control in the firm (national or international), the group of control in the decision making process (owner or contracted managers) and the financing structure. The analysis is made for a sample of Spanish firms given by the Survey of Entrepreneurial Strategies, an annual survey that provides information on Spanish manufacturing firms from 1990 to 1999.

Study and simulation of CubeSats communication systems for ISARA mission

S'estudiaran els diversos sistemes de comunicació (TX/RX) d'un vehicle aeroespacial comercial a elecció. L'objectiu és entendre i avaluar el comportament d'aquests sistemes en relació al vehicle, optimitzant-ne les prestacions a nivell de massa, ubicació dels components, cost, etc. 1) Disseny CAD del fusselatge del vehicle aeroespacial (es pot considerar la importació de models pre-establerts)2) Inclusió dels  sistemes de comunicació.3) Simulació 3D de les antenes (diagrama de radiació i paràmetres d'antena) amb el software professional CST Microwave Studi

Ownership structure and innovation: Is there a real link

This work focuses on the study of the relationship between ownership and control structure of the company and its innovative activity. Its aim consists of analysing the role that may be played by determinants within the company related to ownership structure when the decision to incur research and development activities is taken as well as on the output of this innovative process. Among these determinants we may think of issues such as who owns the firm and how the control of decision-making is distributed, the nature of this control and the level of concentration of ownership, among others. The study is carried out for the year 2001 using a representative sample of Spanish manufacturing industries.ownership and control structure, agency theory, research and development

Marcinkiewicz-Zygmund inequalities

We study a generalization of the classical Marcinkiewicz-Zygmund inequalities. We relate this problem to the sampling sequences in the Paley-Wiener space and by using this analogy we give sharp necessary and sufficient computable conditions for a family of points to satisfy the Marcinkiewicz-Zygmund inequalities

Antídots resilients al suïcidi: aprendre a viure una altra vida.

Malgrat que la societat postmoderna del rendiment no ofereix un context propici per  promoure la resiliència, sí que hi ha persones que, tot i patir situacions molt adverses i extremes, són capaces de donar sentit a la seva existència: són les persones resilients de la vida quotidiana. Les persones resilients ens poden donar lliçons de vida de com sobreviure al vertigen d’aquesta societat postmoderna, perquè son persones que han tornat a aprendre a viure, han retornat al món després de romandre en el caos. El seu testimoniatge ens deixa dos antídots per afrontar la contingència humana: el vincle i el sentit, dos fonaments bàsics per  teixir el procés resilient

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

We propose a novel Bayesian approach to solve stochastic optimization problems that involve finding extrema of noisy, nonlinear functions. Previous work has focused on representing possible functions explicitly, which leads to a two-step procedure of first, doing inference over the function space and second, finding the extrema of these functions. Here we skip the representation step and directly model the distribution over extrema. To this end, we devise a non-parametric conjugate prior based on a kernel regressor. The resulting posterior distribution directly captures the uncertainty over the maximum of the unknown function. We illustrate the effectiveness of our model by optimizing a noisy, high-dimensional, non-convex objective function.Comment: 9 pages, 5 figure