Barriers and facilitators to effective coverage of Intimate Partner Violence services for immigrant women in Spain

Objective: To explore service providers’ perceptions in order to identify barriers and facilitators to effective coverage of Intimate Partner Violence (IPV) services for immigrant women in Spain, according to the different categories proposed in Tanahashi's model of effective coverage. Methods: A qualitative study based on 29 in-depth personal interviews and four group interviews with a total of 43 professionals working in public services (social and health-care services, women's refuges, the police force, the judiciary) and NGOs in Barcelona, Madrid, Valencia and Alicante (Spain) in 2011. Findings: Current IPV services in Spain partially fail in their coverage of abused immigrant women due to barriers of (i) availability, such as the inexistence of culturally appropriate services; (ii) accessibility, as having a residence permit is a prerequisite for women's access to different services and rights; (iii) acceptability, such as women's lack of confidence in the effectiveness of services; and (iv) effectiveness, for example, lack of specific training among professionals on the issues of IPV and immigration. However, interviewees also identified facilitators, such as the enabling environment promoted by the Spanish Law on Gender-Based Violence (1/2004), and the impetus it has provided for the development of other specific legislative tools to address IPV in immigrant populations in Spain (availability, accessibility and effectiveness). Conclusion: Whilst not dismissing cultural barriers, aspects related to service structure are identified by providers as the main barriers and facilitators to immigrant women use of IPV services. Despite noteworthy achievements, improvements are still required in terms of mainstreaming assistance tailored to immigrant women's needs in IPV policies and services.

Identification of Acremonium isolates from grapevines and evaluation of their antagonism towards Plasmopara viticola

Some endophytic fungal genera in Vitis vinifera, including Acremonium, have been reported as antagonists of Plasmopara viticola. Endophytic Acremonium isolates from an asymptomatic grapevine cultivar Inzolia from Italy were identified by morphological features and multigene phylogenies of ITS, 18S and 28S genes, and their intra-specific genomic diversity was analyzed by RAPD analysis. Culture filtrates (CFs) obtained from Acremonium isolates were tested in vitro for their inhibitory activity against the P. viticola sporangia germination. Among 94 isolates, 68 belonged to the Acremonium persicinum and 26 to the Acremonium sclerotigenum. RAPD analysis grouped the A. persicinum isolates into 15 clusters and defined 31 different strains. The A. sclerotigenum isolates, instead, were clustered into 22 groups and represented 25 strains. All A. persicinum CFs inhibited sporangia germination of P. viticola, while not all those of A. sclerotigenum had inhibitory effect. A different degree of inhibition was observed between strains of the same species, while some strains of different species showed identical inhibitory effect. No correlation was found between RAPD groups and inhibitory activity in both Acremonium species.

Phrase-based statistical machine translation: explanation of its processes and statistical models and evaluation of the English to Spanish translations produced

Statistical machine translation (SMT) is an approach to Machine Translation (MT) that uses statistical models whose parameter estimation is based on the analysis of existing human translations (contained in bilingual corpora). From a translation student’s standpoint, this dissertation aims to explain how a phrase-based SMT system works, to determine the role of the statistical models it uses in the translation process and to assess the quality of the translations provided that system is trained with in-domain goodquality corpora. To that end, a phrase-based SMT system based on Moses has been trained and subsequently used for the English to Spanish translation of two texts related in topic to the training data. Finally, the quality of this output texts produced by the system has been assessed through a quantitative evaluation carried out with three different automatic evaluation measures and a qualitative evaluation based on the Multidimensional Quality Metrics (MQM).