Migration et sida en Afrique de l'Ouest : un état des connaissances

Depuis la découverte du Sida, la diffusion géographique du virus est, comme par évidence, liée à la circulation des hommes. Cependant, ce constat classique dissimule une relation entre mobilité et sida à la fois complexe et méconnue. Considérant l'Afrique de l'Ouest, notre propos est de mettre en lumière la complexité de cette association, à partir d'une revue critique de la littérature, et d'en extraire les principales explications. Il ressort que la personne mobile est tour à tour un individu soumis au risque de contracter le VIH, et un porteur de la maladie susceptible de la diffuser dans les populations rencontrées. Au regard du risque de diffusion, la littérature donne crédit au sens commun. Les prostituées, souvent étrangères, les transporteurs routiers, les commerçants internationaux, les migrants de travail ou encore les étudiants sont autant de populations mobiles qui favorisent la diffusion du sida. Le risque majoré de contamination par le sida des personnes mobiles a été envisagé surtout de façon théorique et par rapport aux migrants de travail. Le jeune homme, non accompagné, qu'est souvent le migrant de travail, est triplement exposé au risque d'infection. D'abord, son isolement affectif et son faible niveau économique produisent une situation de stress qui favorise les comportements sexuels à risque. Son décalage culturel et son illétrisme le rendent aussi moins réceptif aux campagnes de sensibilisation. Enfin, le migrant, en raison d'une santé plus fragile, est plus exposé au risque transfusionnel et aux injections par des aiguilles souillées. En dépit de leur intérêt, toutes ces analyses restent encore largement théorique et les quelques études empiriques se révèlent très contradictoires. En somme, la relation entre migration et sida dépasse le simple truisme, mais les mécanismes complexes qui relient ces deux phénomènes sont encore à déterminer et à valider. (Résumé d'auteur

Symplectic integrators with adaptive time steps

In recent decades, there have been many attempts to construct symplectic integrators with variable time steps, with rather disappointing results. In this paper we identify the causes for this lack of performance, and find that they fall into two categories. In the first, the time step is considered a function of time alone, \Delta=\Delta(t). In this case, backwards error analysis shows that while the algorithms remain symplectic, parametric instabilities arise because of resonance between oscillations of \Delta(t) and the orbital motion. In the second category the time step is a function of phase space variables \Delta=\Delta(q,p). In this case, the system of equations to be solved is analyzed by introducing a new time variable \tau with dt=\Delta(q,p) d\tau. The transformed equations are no longer in Hamiltonian form, and thus are not guaranteed to be stable even when integrated using a method which is symplectic for constant \Delta. We analyze two methods for integrating the transformed equations which do, however, preserve the structure of the original equations. The first is an extended phase space method, which has been successfully used in previous studies of adaptive time step symplectic integrators. The second, novel, method is based on a non-canonical mixed-variable generating function. Numerical trials for both of these methods show good results, without parametric instabilities or spurious growth or damping. It is then shown how to adapt the time step to an error estimate found by backward error analysis, in order to optimize the time-stepping scheme. Numerical results are obtained using this formulation and compared with other time-stepping schemes for the extended phase space symplectic method.Comment: 23 pages, 9 figures, submitted to Plasma Phys. Control. Fusio

The Impact of EU Norms and Policies on Consumer Protection Enforcement in Serbia

Pursuant to its 2008 Stabilization and Association Agreement governing the process of EU integration, Serbia is obliged to align its consumer protection standards (including those related to enforcement) with those of the EU. This article considers the overall approach to enforcement of consumer law in Serbia, focussing in particular on the extent to which EU enforcement principles have been successfully exported to Serbia and whether the goals of EU consumer policy have been achieved. It argues that the incorporation of EU norms has brought fundamental changes to Serbian enforcement mechanisms at a formal level, such as in relation to mediation processes as well as the introduction of injunctions for the protection of collective consumer interests. In practice, however, the impact of this incorporation is quite limited. A number of factors that restrict the practical effectiveness of the mediation processes and injunctions required by EU law are explored in the article, including weak sanctions, excessive reliance on poorly resourced consumer organizations, absence of a business culture of compliance or a sophisticated and determined consumer protection enforcement culture sufficiently grounded in expertise, as well as an overarching political, legislative, and institutional instability. These factors also undermine the general aim of EU policy to achieve effective consumer protection enforcement in the Serbian context

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment