Suchergebnisse

Research on immigration politics has been focused on countries of the Global North. Latin America is often discussed only as a migrant‐sending region. This study offers a comparative‐historical analysis of Brazilian immigration policy from national independence to the present day. Based on archival research and synthesis of multiple documentation sources, the study finds an affinity between authoritarian politics and immigration restrictionism in the country, which is consistent with theories that link liberal democracy to pro‐immigrant policies. Brazilian authoritarian leaders have framed immigrants as threats to the security, order, and culture of the nation to justify tighter controls on immigration. The study concludes that immigration restrictionism can develop in the Global South with discourses strikingly similar to those circulated in the Global North. The findings also suggest that Brazil is still far from the ideal of a multiracial liberal democracy.

Int. J. Mol. Sci.2019, 20, x; doi: FOR PEER REVIEWwww.mdpi.com/journal/ijmsMaster ThesisRNA-Seq Transcriptome Analysis for the Study of Prostate Cancer Development and EvolutionEstherSauras Colón 1*, María Jesús Álvarez Cubero2,3*and Eduardo Andrés León4*1Master in Translational Research and Personalized Medicine. Faculty of Medicine, University of Granada. Granada, Spain.2GENYO. Centre for Genomics and Oncological Research.Pfizer / University of Granada /Andalusian Regional Government. Granada, Spain.3Department of Biochemistry and Molecular Biology III.Faculty of Medicine, University of Granada.Granada, Spain.4Bioinformatics Unit,Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN).Spanish National Research Council (CSIC).Granada, Spain.*Correspondence: Esther Sauras Colón: esc6@correo.ugr.es. María Jesús Álvarez Cubero: mjesusac@ugr.es. Eduardo Andrés León: eduardo.andres@csic.es.September 2019Abstract: Prostate cancer (PCa) is one of the most common cancers worldwide.Even though prostate specific antigen (PSA) testis thenon-invasive routine blood test for the detection of asymptomatic disease, itcanresultinproblemsofdiagnostic accuracyandoverdiagnosis.Thus, it is necessary to continue investigating newefficientbiomarkers for the prevention, diagnosis and prognosis of PCa.Here, we analyse the transcriptome of seven individuals by the use of next-generation sequencing (NGS)techniqueto identify differentially expressed genes, which can help to better understand PCa aggressiveness. Presentanalysis show that there are two upregulated genes in PCa regarding to controls: HP(Haptoglobin)and HLA-G(Human Leukocyte Antigen-G). On the other hand, there are seven downregulated genes, where TP53TG3 and their transcripts should be highlighted.Also, we make a comparison between amoreaggressive PCa phenotype and the rest of PCa samples to investigate about genes implicated in aggressiveness, obtaining a high number of upregulated genesincludingCENPF, DLGAP5 and RRM2, among others.These genescould serve as predictive, diagnosticand prognosticbiomarkers, as well as molecular targets. Nevertheless, further studies would be needed to confirm the obtained results.

AbstractSocial ties are strongly related to well-being. But what characterizes this relationship? This study investigates social mechanisms explaining how social ties affect well-being through social integration and social influence, and how well-being affects social ties through social selection. We hypothesize that highly integrated individuals–those with more extensive and dense friendship networks–report higher emotional well-being than others. Moreover, emotional well-being should be influenced by the well-being of close friends. Finally, well-being should affect friendship selection when individuals prefer others with higher levels of well-being, and others whose well-being is similar to theirs. We test our hypotheses using longitudinal social network and well-being data of 117 individuals living in a graduate housing community. The application of a novel extension of Stochastic Actor-Oriented Models for ordered networks (ordered SAOMs) allows us to detail and test our hypotheses for weak- and strong-tied friendship networks simultaneously. Results do not support our social integration and social influence hypotheses but provide evidence for selection: individuals with higher emotional well-being tend to have more strong-tied friends, and there are homophily processes regarding emotional well-being in strong-tied networks. Our study highlights the two-directional relationship between social ties and well-being, and demonstrates the importance of considering different tie strengths for various social processes.