Un déguisement pour la discrimination?

Malgré une société de plus en plus tolérante, la discrimination reste un problème d'actualité. Pour expliquer la formation des comportements discriminatoires, la recherche en psychologie sociale a traditionnellement étudié la discrimination comme un phénomène intergroupe, notamment à travers la théorie de l'identité sociale (Tajfel & Turner, 1979). Toutefois, cette approche ne permet pas de comprendre comment des individus peuvent de nos jours s'engager dans des comportements discriminatoires tout en sachant que ces actes sont répréhensibles socialement et pénalement. C'est à cette problématique que nous nous sommes attelés dans la présente recherche. De nombreuses études ont mis en évidence le fait que des individus étaient prêts à commettre des actes discriminatoires pour autant qu'ils puissent les justifier (Crandall & Eshleman, 2003). Nous proposons de contribuer à la compréhension de ce phénomène grâce au concept de désengagement moral définit comme le processus par lequel des individus justifient leurs comportements immoraux pour les rendre acceptable. Ce concept a initialement été développé de manière conceptuelle par Bandura (1990) pour comprendre les processus cognitifs amenant des individus à se comporter de manière immorale. Dans le cadre de notre recherche, nous proposons de développer le concept de désengagement moral pour des actes discriminatoires (DMD) ainsi que sa mesure. Plus particulièrement, nous proposons de conceptualiser le DMD comme une différence individuelle permettant aux individus de s'engager dans des comportements discriminatoires en toute impunité à travers un processus anticipatoire de justification. Ces justifications visent à prouver le bien-fondé des actes de discrimination envisagés, ainsi perçus comme bénins, acceptables, voire désirables. Deux des trois étapes envisagées pour le développement de la mesure ont déjà été réalisées. Les résultats obtenus sont prometteurs quant à la structure et la validité de la mesure.

Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair.

Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.

Phenotypic Association Analyses With Copy Number Variation in Recurrent Depressive Disorder.

BACKGROUND: Defining the molecular genomic basis of the likelihood of developing depressive disorder is a considerable challenge. We previously associated rare, exonic deletion copy number variants (CNV) with recurrent depressive disorder (RDD). Sex chromosome abnormalities also have been observed to co-occur with RDD. METHODS: In this reanalysis of our RDD dataset (N = 3106 cases; 459 screened control samples and 2699 population control samples), we further investigated the role of larger CNVs and chromosomal abnormalities in RDD and performed association analyses with clinical data derived from this dataset. RESULTS: We found an enrichment of Turner's syndrome among cases of depression compared with the frequency observed in a large population sample (N = 34,910) of live-born infants collected in Denmark (two-sided p = .023, odds ratio = 7.76 [95% confidence interval = 1.79-33.6]), a case of diploid/triploid mosaicism, and several cases of uniparental isodisomy. In contrast to our previous analysis, large deletion CNVs were no more frequent in cases than control samples, although deletion CNVs in cases contained more genes than control samples (two-sided p = .0002). CONCLUSIONS: After statistical correction for multiple comparisons, our data do not support a substantial role for CNVs in RDD, although (as has been observed in similar samples) occasional cases may harbor large variants with etiological significance. Genetic pleiotropy and sample heterogeneity suggest that very large sample sizes are required to study conclusively the role of genetic variation in mood disorders.

Accelerated Microstructure Imaging via Convex Optimisation for regions with multiple fibres (AMICOx)

This paper reviews and extends our previous work to enable fast axonal diameter mapping from diffusion MRI data in the presence of multiple fibre populations within a voxel. Most of the existing mi-crostructure imaging techniques use non-linear algorithms to fit their data models and consequently, they are computationally expensive and usually slow. Moreover, most of them assume a single axon orientation while numerous regions of the brain actually present more complex configurations, e.g. fiber crossing. We present a flexible framework, based on convex optimisation, that enables fast and accurate reconstructions of the microstructure organisation, not limited to areas where the white matter is coherently oriented. We show through numerical simulations the ability of our method to correctly estimate the microstructure features (mean axon diameter and intra-cellular volume fraction) in crossing regions.

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

Traducción de fragmentos humorísticos de dos videojuegos

En este trabajo se estudia la relación entre el humor y el mundo de la localización de videojuegos mediante el análisis de las diferentes técnicas de traducción utilizadas en la traducción oficial de dos fragmentos de los videojuegos Portal (2007) y Portal 2(2011) respectivamente. De este modo, por una parte, el trabajo profundiza en el mundo de la localización de videojuegos centrándose en diferentes aspectos relacionados como la interfaz, los componentes que forman un videojuego y los tipos, modelos y procesos de localización existentes y, por la otra, se centra en cómo traducir referencias humorísticas en este ámbito de la traducción especializada. Para poner en práctica todo lo analizado, se realiza una traducción de los fragmentos de Portal y de Portal 2 seleccionados con tal de comparar las soluciones que hemos ofrecido con las que aparecen en los productos oficiales.

Antropologisen kenttätutkimuksen uutta luova rituaali

Kirjallisuutta

Toxic and metabolic encephalopathies: iconographic essay

Generally, toxic-metabolic diseases affecting the central nervous system can hardly be differentiated just on the basis of their clinical presentation. However, some typical neuroradiological features can guide the correct diagnosis. In this context, magnetic resonance imaging is an important tool which, in association with clinical and laboratory data, can establish an early and specific treatment. The present pictorial essay with selected cases from the archives of the authors' institution describes imaging findings which might help in the etiologic diagnosis of toxic-metabolic diseases.