Topological comparison of methods for predicting transcriptional cooperativity in yeast

Background: The cooperative interaction between transcription factors has a decisive role in the control of the fate of the eukaryotic cell. Computational approaches for characterizing cooperative transcription factors in yeast, however, are based on different rationales and provide a low overlap between their results. Because the wealth of information contained in protein interaction networks and regulatory networks has proven highly effective in elucidating functional relationships between proteins, we compared different sets of cooperative transcription factor pairs (predicted by four different computational methods) within the frame of those networks. Results: Our results show that the overlap between the sets of cooperative transcription factors predicted by the different methods is low yet significant. Cooperative transcription factors predicted by all methods are closer and more clustered in the protein interaction network than expected by chance. On the other hand, members of a cooperative transcription factor pair neither seemed to regulate each other nor shared similar regulatory inputs, although they do regulate similar groups of target genes. Conclusion: Despite the different definitions of transcriptional cooperativity and the different computational approaches used to characterize cooperativity between transcription factors, the analysis of their roles in the framework of the protein interaction network and the regulatory network indicates a common denominator for the predictions under study. The knowledge of the shared topological properties of cooperative transcription factor pairs in both networks can be useful not only for designing better prediction methods but also for better understanding the complexities of transcriptional control in eukaryotes.

Els Factors competitius de les pimes a Catalunya

El principal objectiu d'aquest estudi és reflectir quins són els principals factors competitius per a les pymes a Catalunya. Per això, es va escollir una mostra de 1000 empreses de diferents sectors i amb els límits que marca la Unió Europea per a definir una pyme. A partir d'aquí, es va analitzar la informació financera. Amb aquesta font d'informació, es va poder arribar a la conclusió que tots aquells aspectes relacionats amb el personal i reflectits a través de ràtios, eren els més significatius estadísticament per a poder explicar la rendibilitat en les empreses. També es va enviar un qüestionari a la mostra esmentada i es va preguntar el punt de vista del gestor o empresari. Només 50 empreses van contestar, i una vegada més, el factor humà es va revelar com el més important. S'ha d'assenyalar que altres elements tals com la inversió en tecnologia, que s'esperava fossin significatius, no van donar els resultats esperats en el sentit que cap altre fos considerat tan rellevant com els recursos humans.

Els Factors competitius de les pimes a Catalunya

El principal objectiu d'aquest estudi és reflectir quins són els principals factors competitius per a les pymes a Catalunya. Per això, es va escollir una mostra de 1000 empreses de diferents sectors i amb els límits que marca la Unió Europea per a definir una pyme. A partir d'aquí, es va analitzar la informació financera. Amb aquesta font d'informació, es va poder arribar a la conclusió que tots aquells aspectes relacionats amb el personal i reflectits a través de ràtios, eren els més significatius estadísticament per a poder explicar la rendibilitat en les empreses. També es va enviar un qüestionari a la mostra esmentada i es va preguntar el punt de vista del gestor o empresari. Només 50 empreses van contestar, i una vegada més, el factor humà es va revelar com el més important. S'ha d'assenyalar que altres elements tals com la inversió en tecnologia, que s'esperava fossin significatius, no van donar els resultats esperats en el sentit que cap altre fos considerat tan rellevant com els recursos humans.

Factors de risc de conducta violenta intrainstitucional en interns penitenciaris

Existeixen un gran nombre d’investigacions sobre els indicadors de risc de la conducta violenta intrainstitucional en l’àmbit penitenciari, especialment en els EUA. Malgrat això, poc se sap sobre aquesta qüestió a Espanya, tot i que aquest és el país que presenta un dels índex de població reclusa més elevats d’Europa Occidental. Aquest estudi té per objecte la determinació de la prevalença i els correlats associats a les infraccions disciplinàries violentes i potencialment violentes d’11 centres penitenciaris de Catalunya. Per assolir aquest objectiu el present estudi prospectiu, basat en dades oficials, examina la relació entre variables sociodemogràfiques, criminals, penitenciàries i psicològiques d’una mostra de 7517 interns/es durant un període de seguiment de 2 anys. Els resultats obtinguts indiquen que ser més jove, estar en situació de presó preventiva en el cas de les dones, haver presentat conducta violenta o antisocial anteriorment, tant en la comunitat com en l’àmbit penitenciari, respondre d’una manera poc exitosa als tractaments recents o mostrar problemes en el consum d’alcohol o drogues i les actituds procriminals són factors de gran potència en la predicció d’infraccions disciplinàries. Per concloure, cal esmentar que investigacions addicionals en altres àrees geogràfiques i la consideració de variables situacionals són necessàries per corroborar els resultats aquí obtinguts. També es discuteixen algunes implicacions per a polítiques penitenciàries i per a futures línies d’investigació.

Empirical models for predicting the production of wild mushrooms in Scots pine (Pinus sylvestris L.) forests in the Central Pyrenees

Mushroom picking has become a widespread autumn recreational activity in the Central Pyrenees and other regions of Spain. Predictive models that relate mushroom production or fungal species richness with forest stand and site characteristics are not available. This study used mushroom production data from 24 Scots pine plots over 3 years to develop a predictive model that could facilitate forest management decisions when comparing silvicultural options in terms of mushroom production. Mixed modelling was used to model the dependence of mushroom production on stand and site factors. The results showed that productions were greatest when stand basal area was approximately 20 m2 ha-1. Increasing elevation and northern aspect increased total mushroom production as well as the production of edible and marketed mushrooms. Increasing slope decreased productions. Marketed Lactarius spp., the most important group collected in the region, showed similar relationships. The annual variation in mushroom production correlated with autumn rainfall. Mushroom species richness was highest when the total production was highest.

Risk-Return Trade-Off for European Stock Markets

This paper adopts dynamic factor models with macro-finance predictors to test the intertemporal risk-return relation for 13 European stock markets. We identify country specific, euro area, and global macro-finance factors to determine the conditional risk and return. Empirically, the risk- return trade-off is generally negative. However, a Markov switching model documents that there is time-variation in this trade-off that is linked to the state of the economy. Keywords: Risk-return trade-off; Dynamic factor model; Macro-finance predictors; European stock markets; Markov switching model JEL Classifications: C22; G11; G12; G17

The role of different factors related to social impact of heavy events: considerations about the intensity thresholds in densely populated areas

In the assessment of social impact caused by meteorological events, factors of different natures need to be considered. Not only does hazard itself determine the impact that a severe weather event has on society, but also other features related to vulnerability and exposure. The requests of data related to insurance claims received in meteorological services proved to be a good indicator of the social impact that a weather event causes, according to studies carried out by the Social Impact Research Group, created within the framework of the MEDEX project. Taking these requests as proxy data, diverse aspects connected to the impact of heavy rain events have been studied. The rainfall intensity, in conjunction with the population density, has established itself as one of the key factors in social impact studies. One of the conclusions we obtained is that various thresholds of rainfall should be applied for areas of varying populations. In this study, the role of rainfall intensity has been analysed for a highly populated urban area like Barcelona. A period without significant population changes has been selected for the study to minimise the effects linked to vulnerability and exposure modifications. First, correlations between rainfall recorded in different time intervals and requests were carried out. Afterwards, a method to include the intensity factor in the social impact index was suggested based on return periods given by intensity duration frequency (IDF) curves.

Predicting overall service quality: a structural equation modelling approach

In this article, the results of a modified SERVQUAL questionnaire (Parasuraman et al., 1991) are reported. The modifications consisted in substituting questionnaire items particularly suited to a specific service (banking) and context (county of Girona, Spain) for the original rather general and abstract items. These modifications led to more interpretable factors which accounted for a higher percentage of item variance. The data were submitted to various structural equation models which made it possible to conclude that the questionnaire contains items with a high measurement quality with respect to five identified dimensions of service quality which differ from those specified by Parasuraman et al. And are specific to the banking service. The two dimensions relating to the behaviour of employees have the greatest predictive power on overall quality and satisfaction ratings, which enables managers to use a low-cost reduced version of the questionnaire to monitor quality on a regular basis. It was also found that satisfaction and overall quality were perfectly correlated thus showing that customers do not perceive these concepts as being distinct