Evaluación crítica de la comprensión y del conocimiento actuales en el contexto de una aproximación ecosistémica a la gestión pesquera en el Mar Mediterráneo y el Mar Negro

A critical review was carried out involving experts from 17 countries, to identify, summarize and evaluate the current understanding related to the Ecosystem Approach to Fisheries management (EAF) in the Mediterranean and Black Seas. The existing information available at country level, coming from research and monitoring projects and other types of activities, was explored. The evaluation was done following a standardized protocol and using simple semi-quantitative methods. The results highlighted an overall low-medium degree of fulfilment of the requirements of the EAF, with some differences related to the different issues considered. The highest scores were reported for the knowledge related to fleet structure/ behaviour and species/habitat distribution, whereas the lowest scores were reported for modelling, and socio-economic and management issues. Although only semi-quantitative, these results provided an initial picture at a broad regional level on the state of knowledge with a view to a proper implementation of the EAF in the Mediterranean and Black Seas, and identified gaps in scientific knowledge that should be covered.Se llevó a cabo una revisión crítica con la intervención de expertos de 17 países para la identificación, resumen y evaluación del conocimiento actual en relación a la Aproximación Ecosistémica a la Gestión Pesquera (EAF) en el Mar Mediterráneo y el Mar Negro. Se explora la información existente a nivel de cada país, derivada de proyectos de investigación y seguimiento, así como otros tipos de actividades. Se llevó a cabo una evaluación siguiendo un protocolo estandardizado y el uso de métodos semi-cuantitativos. Los resultados muestran que en general el grado de cumplimiento con los requerimientos de EAF es bajo-medio, con algunas diferencias relacionadas con los distintos aspectos considerados. Las puntuaciones más elevadas correspondieron al conocimiento relacionado con la estructura de flota y su comportamiento, así como con la distribución espacial de hábitats y especies. Las puntuaciones más bajas correspondieron a aspectos relacionados con la modelización, la socio-economía y la gestión. A pesar de su carácter semi-cuantitativo, estos resultados proporcionan una primera imagen a nivel regional del estado de conocimiento del que se parte para una implementación adecuada de EAF en el Mar Mediterráneo y el Mar Negro y ayuda a identificar las carencias en el conocimiento científico que deben ser corregidas

Vulnerability of demersal fish assemblages to trawling activities: a traits-based index

Reducing the impact on vulnerable species through changes in fishing practices, such as the spatial or temporal avoidance of certain areas, is key to increase the ecological sustainability of fisheries. However, it is often hampered by the availability of sufficiently detailed data and robust indicators. Existing trawl surveys are a cost-effective data source to assess the vulnerability of fishing areas based on the quantities of vulnerable species caught. We developed a biological traits-based approach to the vulnerability of demersal assemblages using commercial trawl catch data. An expert-based approach identified a set of biological traits that are expected to condition the species' response to trawling impact and are combined to produce the vulnerability index ranked into four levels (low, moderate, high, and very high vulnerability). The approach was tested in four southern European fishing grounds showing evidence of over-exploitation, through catches being dominated by species of relatively low vulnerability to fishing impacts. The general distribution of species' biomass amongst vulnerability groups was highly homogenous across case studies, despite local differences in fishing fleet structure, target species and fishing depths. Within all areas the species with moderate vulnerability dominated and, in most instances, species of "very high" vulnerability were not recorded. Nevertheless, differences emerged when comparing the proportions of highly vulnerable species in the catches. Variability in vulnerability level of the catch was also observed at small spatial scales, which was principally explained by differences in habitat type and depth and, secondarily, by fishing effort. In fine mud in the shallower areas there was a higher presence of low vulnerable fauna. Furthermore, vulnerable organisms decreased in their presence in sandier substrates on the continental shelf. The spatial heterogeneity in assemblage vulnerability composition encourages the potential for adoption of this index in the spatial management of fishing grounds aiming at ensuring a sustainable exploitation by mitigating trawl impacts on the most vulnerable components of the demersal assemblages.MINOUW Horizon 2020 (Project ID: 634495); H2020-Marie Skłodowska-Curie Action MSCA-IF-2016 (Project ID: 743545)info:eu-repo/semantics/publishedVersio

Trayectoria a largo plazo de algunas especies de Elasmobranquios en los mares de Toscana (Mediterráneo noroccidental) a través de 50 años de datos de captura

The time series of elasmobranch catch rates off the Tuscany coasts (NW Mediterranean) were investigated by means of min/max auto-correlation factor analysis in order to estimate variations in population abundance and evaluate the influence of environmental and anthropogenic factors. The analyses highlighted a general decreasing trend in the catch rates of sharks and skates from 1961 to the mid-1990s, mainly influenced by the increase in fishing effort. Since the 1990s, the EU Common Fishery Policy for the Mediterranean has promoted the reduction of fishing fleets through incentives to vessel demolition. The Porto S. Stefano trawl fleet has decreased by about 50%, leading to a decrease in fishing effort which seemed to be the most relevant factor affecting the increasing trend shown by the catch rates of Galeus melastomus, Scyliorhinus canicula and skates from 1991 to 2009. The elasmobranch assemblage did not undergo major shifts but the weighted frequency of occurrence shows that elasmobranchs were more frequent in the past. Particular caution should be paid in interpreting the recent rebound of some species as an early sign of recovery: trawl survey data and landing data show that over the last 50 years elasmobranch fauna have undergone a drastic decline and that recent rebounds are still far from a recovery to historical levels.Se investigaron las series históricas de datos de captura de algunas especies de Elasmobranquios en los mares de Toscana (Mediterráneo noroccidental), por medio del análisis de auto-correlación factorial MAFA, con el fin de evaluar las variaciones en la abundancia de poblaciones y la influencia de factores ambientales y antropogénicos. Los análisis permitieron poner en relieve una tendencia a la disminución, a partir de 1961 hasta la mitad de los años 1990, de las tasas de captura de las especies de tiburones y rayas demersales. Esta disminución parece ser debida principalmente al aumento del esfuerzo pesquero. Sin embargo, desde 1990 capacidad y actividad pesquera mostraron una tendencia a la disminución, como resultado de la Política Pesquera Común de la UE para el Mediterráneo. La flota de arrastre de Porto Santo Stefano disminuyó en un 50%; esta reducción parece ser el factor más importante que produjo un aumento en los indices de abundancia relativa de Galeus melastomus, Scyliorhinus canicula y de las rayas, desde 1991 a 2009. Sin embargo la composición en especies de los Elasmobranquios no ha mostrado evidentes cambios en el tiempo, a pesar de muchas especies que han sufrido una disminución en la frecuencia de occurrencia. Por lo tanto, la interpretación de estos resultados como señal de recuperación de las poblaciones de elasmobranquios, necesita de una precaución especial. De hecho durante los últimos 50 años la fauna de elasmobranquios en el Mediterráneo ha sufrido una drástica reducción y todavía no se está observando ninguna considerable señal de recuperación

Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts

Creating balanced labeled textual corpora for complex tasks, like legal analysis, is a challenging and expensive process that often requires the collaboration of domain experts. To address this problem, we propose a data augmentation method based on the combination of GloVe word embeddings and the WordNet ontology. We present an example of application in the legal domain, specifically on decisions of the Court of Justice of the European Union. Our evaluation with human experts confirms that our method is more robust than the alternatives

Impact assessment of an educational course on vaccinations in a population of medical students

The inadequate formation and knowledge about vaccinations of healthcare workers, including doctors, has certainly contributed to the spread of the vaccine hesitancy in recent years. Therefore, it is essential to improve the level of knowledge of future doctors so that they can deal with any hesitation within the population in order to increase the vaccination coverage. The aim of the study is to evaluate the impact of a course about vaccination on the knowledge of medical students. In order to evaluate the efficacy of a certain lecture about vaccinations on medical students, they were asked to complete an anonymous questionnaire before and after the seminar. The two questionnaires contained the same 10 questions regarding knowledge and attitudes about vaccines. Only the students who had attended the lecture were allowed to complete the post-lecture questionnaire. The students could fulfil the questionnaires through the learning management system (LMS) called ‘Moodle’. A descriptive statistical analysis of the data collected through the comparative evaluation of the answers before and after the seminar was performed. The seminar aroused much interest among the students: 100 of them completed the pre-lecture questionnaire and 81 of them completed the post-lecture questionnaire. The results show a positive impact of the seminar, especially about some specific themes: knowledge of the students on the indication of the MPR vaccine strongly improved after the seminar, the number of students who would recommend vaccination for pertussis and influenza during pregnancy increased by 37% and 19% respectively after the seminar, and those aware of the need for Herpes Zoster vaccination over the age of 65 increased by 22%. For future doctors, a thorough knowledge about vaccinations is increasingly required in order to deal with vaccine hesitancy. It is, therefore, important for them to get the opportunity to develop a mastery over these topics. An extracurricular seminar about vaccines, provided in the second half of the course of study, can have a highly positive impact and could stimulate the future healthcare personnel to improve their knowledge on vaccination

Deep Learning for Detecting and Explaining Unfairness in Consumer Contracts

Consumer contracts often contain unfair clauses, in apparent violation of the rel- evant legislation. In this paper we present a new methodology for evaluating such clauses in online Terms of Services. We expand a set of tagged documents (terms of service), with a structured corpus where unfair clauses are liked to a knowledge base of rationales for unfairness, and experiment with machine learning methods on this expanded training set. Our experimental study is based on deep neural net- works that aim to combine learning and reasoning tasks, one major example being Memory Networks. Preliminary results show that this approach may not only pro- vide reasons and explanations to the user, but also enhance the automated detection of unfair clauses

The Force Awakens: Artificial Intelligence for Consumer Law

Recent years have been tainted by market practices that continuously expose us, as consumers, to new risks and threats. We have become accustomed, and sometimes even resigned, to businesses monitoring our activities, examining our data, and even meddling with our choices. Artificial Intelligence (AI) is often depicted as a weapon in the hands of businesses and blamed for allowing this to happen. In this paper, we envision a paradigm shift, where AI technologies are brought to the side of consumers and their organizations, with the aim of building an efficient and effective counter-power. AI-powered tools can support a massive-scale automated analysis of textual and audiovisual data, as well as code, for the benefit of consumers and their organizations. This in turn can lead to a better oversight of business activities, help consumers exercise their rights, and enable the civil society to mitigate information overload. We discuss the societal, political, and technological challenges that stand before that vision