Abstract
This paper proposes a set of metrics for the assessment of the complexity of models defining the business logic of spreadsheets. This set can be considered the first step in the direction of building a quality standard for spreadsheet models, that is still to be defined. The computation of concrete metric values has further been integrated under a well-established model-driven spreadsheet development environment, providing a framework for the analysis of spreadsheet models under spreadsheets themselves.

Abstract
A torsion active sensor based on a figure-of-eight configuration is presented. The interferometric fiber loop mirror, composed by a section of photonic crystal fiber, also acts as a sensing element. When torsion is applied over a range of 180 degrees, a sensitivity of 7.13 pm/degree is achieved. Besides, this configuration can also be used to measure optical power variations and it presents low sensitivity to temperature.

Abstract
Research on scientific production and publications in the field of economics has positively boomed in the last few years. However, hardly any attention has been dedicated to the production of working papers and the consequences they may have within the institutions where they are produced. This paper provides a detailed analysis of the working papers produced and published from an institution that is relatively peripheral in terms of its production of research in economics. It mainly explores the probability of the working papers being published in peer-reviewed journals. Through the use of an extensive series of these working papers, produced between 1985 and the end of 2005, and through the estimation of a logistic regression model, it was concluded that the probability of international publication increases significantly when the working paper is recent and co-written with a researcher from a foreign institution. Such evidence suggests that for success in the 'publish or perish' world of scientific research, one has to be integrated into an international scientific network.

Abstract
Many tasks dealing with temporal data, such as interactive browse through temporal datasets, require intensive retrieval from the database. Depending on the user's task, the data retrieved may be too large to fit in the local memory. Even if it fits, the time taken to retrieve the data may compromise user interaction. This work proposes a method, TravelLight, which improves interactive traveling across very large temporal datasets by exploring the temporal consistency of data items. The proposed method consists of two algorithms: the data retrieval and the memory management algorithm, both contributing to improve memory usage and, most important, to reduce the turnaround time. Results are reported concerning experiments with a temporally linear navigation across two datasets of one million items, which differ in the average time span of items. With the obtained results it is possible to conclude that the proposed method reduces turnaround time thus enhancing the response of interactive tasks over very large temporal datasets.

Abstract
Evolutionary Algorithms (EA) approach differently from nature the genotype - phenotype relationship, and this view is a recurrent issue among researchers. Recently, some researchers have started exploring computationally the new comprehension of the multitude of regulatory mechanisms that are fundamental in both processes of inheritance and of development in natural systems, by trying to include those mechanisms in the EAs. One of the first successful proposals was the Artificial Regulatory Network (ARN) model. Soon after some variants of the ARN, including different improvements over the base model, were tested. In this paper, we combine two of those alternatives, demonstrating experimentally how the resulting model can deal with complex problems, including those that have multiple outputs. The efficacy and efficiency of this variant are tested experimentally using two benchmark problems that show how we can evolve a controller or an artificial artist.

Abstract
A large number of studies have emphasized the spatial proximity of economic activity and its relation to the spatiality of knowledge creation in various types of connections. Far less attention has been paid to the understanding of the determinants of 'cultural' and geographical proximity in international R&D cooperation projects involving SMEs and the role of the quality of the Regional Innovation System (RIS). Using a database of completed European Cooperative Research projects, we conclude that: 1) technologically more complex projects are more likely to involve 'culturally' and geographically distant partners; 2) RIS related variables determine 'cultural' proximity but not geographical proximity; 3) at first sight surprisingly, international cooperation projects involving the 1st promoters of innovation-led regions (high patent propensity and high human capital levels) are culturally more distant. © Universidad Alberto Hurtado, Facultad de Economía y Negocios.