Linking transformational leadership and organizational trust: has organizational commitment a mediating effect on it?

[EN] The main goal of this study is to analyze how organizational commitment has a mediating effect on the relation between transformational leadership and organizational trust. Therefore we developed an organization analysis based on a survey that was used to collect primary data from a sample of 58 employees. We obtained a 71% response rate and these data were analyzed using quantitative methodological techniques and linear regression. The research was conducted at the Serralves Foundation (Porto, Portugal) to empirically test the proposed research model and its hypotheses. The empirical results confirm that transformational leadership positively enhances organizational trust. However, transformational leadership and organizational trust are not significantly influenced by organizational commitment, thus not having a mediating effect on this relationship. Such results assume particular relevance because they become a basis for comparative studies in similar organizations. This study brings some theoretical contributions to the literature by analyzing the mediating effect of organizational commitment on the relation between transformational leadership and organizational trust in cultural organizations and has also some practical management implications, as it draws attention to the importance of a set of practices, job satisfaction oriented, which can effectively lead to organizational commitment intervention in the relationship between transformational leadership and organizational trust.

Prioritization of candidate cancer genes-an aid to oncogenomic studies

The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory data. We found that these classifiers are able to distinguish between known cancer genes and other human genes. Furthermore, the classifiers also discriminate candidate cancer genes from a recent mutational screen from other human genes. We provide a web-based facility through which cancer biologists may access our results and we propose computational cancer gene classification as a useful method of prioritizing candidate cancer genes identified in oncogenomic studies.

A Comparative study on the onto-epistemological presuppositions in landscape descriptions of romantics and naturalists

Este póster fue presentado en la Summer School on Evolution en Lisboa (15-19 julio de 2013)