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AbstractWe study determinants of financial inclusion for individuals with a refugee background (refugees) from over 30 countries residing in Utica, New York. We find that greater financial inclusion is associated with refugees who are male, more educated, employed, richer, older at time of migration, have better language skills, and have lived in the country longer. Financial inclusion also increases with the degree to which refugees trust financial institutions and decreases with the degree to which refugees' close friends are from the same ethnic group. Country of origin, religious affiliation, and religiosity are strong predictors in many specifications.
AbstractWe study determinants of happiness—a subjective measure of wellbeing—for roughly 600 refugees from over 30 different countries currently residing in Utica, NY. For refugees from the former Soviet Union, the former Yugoslavia and Southeast Asia, having many friends from one's own ethnic group is strongly positively correlated with happiness in Utica, while, for African refugees, English-language skills are a strong determinant of happiness with living in their local area. Income is only modestly related to the happiness of refugees in general, though the results vary by group. We do find strong evidence that those with children are happier than those without. These last two results represent departures from much of the broader literature on happiness in the United States.
This issue of Proceedings gathers papers presented at XOVETIC2018 (A Coruña, Spain, 27–28 September 2018), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC (high-performance computing), cybersecurity, bioinformatics, natural language processing, 5G, and others areas from the field of ICT, and offering a platform to present the results of their research to a national audience in the north of Spain. This first edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. The conference is co-funded by Xunta de Galicia and European Union. European Regional Development Fund (ERDF).
Because of the great diversity (28 species) and fragile conservation status (57.1% of species are in threat of extinction) of the terrestrial carnivores of Argentina, we aimed to collect information about the conservation efforts in this country and identify tools to improve their effectiveness through expert opinion. Lack of interest by governmental agencies was the major obstacle for the development of conservation projects in Argentina. However, this factor appears to have evolved positively in the last 5 years. The limited participation of local communities and lack of funds were recognized as additional impediments, which showed variable temporal trends. The inadequacies of the education system and the lack of interdisciplinary approaches represented less important diffi culties. Twenty-nine current carnivore conservation projects were recorded in 19 of the 23 Argentinean provinces, with a concentration in Neuquén and some northern provinces.Although 78.6% of the species of native carnivores forms part of at least one project, less than half of them are the focal species of a project. The number of projects per species ranges from 16 (for Puma concolor) to cero (for Pteronura brasiliensis, Lontra felina, Lyncodon patagonicus, Conepatus humboldtii, and Leopardus guigna). Whereas the number of projects/species was not related to a species' conservation status, we found a positive association between this indicator of conservation effort and body size. We provide suggestions to reduce biases and identify taxonomic and geographic priorities that will enable to improve the use of the limited resources available for the conservation of carnivores in Argentina. ; Debido a la gran diversidad (28 especies) y el delicado estado de conservación (57,1% de especies con amenaza de extinción) de los carnívoros terrestres en Argentina, nos propusimos recopilar información sobre los esfuerzos actuales de conservación en este país y, mediante consulta a expertos, identifi car medidas para mejorar su efi cacia. El principal obstáculo encontrado para la implementación de proyectos de conservación en Argentina fue la falta de interés por parte de entes gubernamentales, aunque este factor habría evolucionado positivamente en los últimos 5 años. La limitada participación de las comunidades locales y la escasez de fondos fueron otros problemas importantes y con tendencia variable entre proyectos. Las carencias en el sistema educativo y de enfoques interdisciplinarios representarían obstáculos menos relevantes. Se registraron 29 proyectos de conservación de los carnívoros en desarrollo en 19 de las 23 provincias argentinas, con mayor concentración en Neuquén y provincias del norte del país. El 78,6% de las especies de carnívoros nativos es objeto de uno o más proyectos, pero menos de la mitad son el foco de un proyecto. El número de proyectos por especie varía entre 16 (para Puma concolor) y cero (para Pteronura brasiliensis, Lontra felina, Lyncodon patagonicus, Conepatus humboldtii y Leopardus guigna). La cantidad de proyectos por especie no resultó relacionada con su estado de conservación, pero sí con su tamaño corporal. Se brindan pautas para corregir sesgos y establecer prioridades taxonómicas y geográfi cas y así mejorar el uso de los limitados recursos disponibles para la conservación de los carnívoros argentinos.
The complex information encoded into the element connectivity of a system gives rise to the possibility of graphical processing of divisible systems by using the Graph theory. An application in this sense is the quantitative characterization of molecule topologies of drugs, proteins and nucleic acids, in order to build mathematical models as Quantitative Structure - Activity Relationships between the molecules and a specific biological activity. These types of models can predict new drugs, molecular targets and molecular properties of new molecular structures with an important impact on the Drug Discovery, Medicinal Chemistry, Molecular Diagnosis, and Treatment. The current review is focused on the mathematical methods to encode the connectivity information in three types of graphs such as star graphs, spiral graphs and contact networks and three in-house scientific applications dedicated to the calculation of molecular graph topological indices such as S2SNet, CULSPIN and MInD-Prot. In addition, some examples are presented, such as results of this methodology on drugs, proteins and nucleic acids, including the Web implementation of the best molecular prediction models based on graphs. ; This work is supported by "Collaborative Project on Medical Informatics (CIMED)" PI13/00280 funded by the Carlos III Health Institute from the Spanish National plan for Scientific and Technical Research and Innovation 20l3- 2016 and the European Regional Development Funds (FEDER) and by the General Directorate of Culture, Education and University Management of Xunta de Galicia (Ref. GRC2014/049), the Galician Network for Colorectal Cancer Research (REGICC) (Ref. R2014/039) and by the Galician Network of Drugs R+D REGID (R2014/025) and the European Fund for Regional Development (FEDER) in the European Union.