La migración como (f)actor geopolítico: una aproximación desde la autonomía de la migración

In this article we suggest to interpret migration as a geopolitical factor, a factor which is not always subject to governmental decisions. We conduct a review of the literature on the geopolitics of migration, focusing on migration control, identifying its limits and possibilities. We then present the Autonomy of Migration approach as a way to complement or challenge certain assumptions of the geopolitics of migration literature, such as the analytical primacy of state actions in the migratory field. Using the work of Yann Moulier Boutang, we propose paying attention to the capacity of migratory movement to intervene in the transformation of economic, political, cultural and legal structures. This focus on migrations as a geopolitical factor can guide future research and enrich our understanding of how borders are transforming and of geopolitics itself. En este artículo sugerimos interpretar la migración como factor geopolítico, un factor que no esta siempre sujeto a las decisiones estatales. Realizamos una revisión de la literatura sobre la geopolítica de las migraciones, sobre todo centrado en el control migratorio, identificando sus limites y potencialidades. Después, presentamos la Autonomía de las Migraciones como una manera de complementar o retar conceptos asumidos dentro la literatura de la geopolítica de las migraciones como la primacía analítica de las actuaciones de los estados en materia migratoria. En base al trabajo de Yann Moulier Boutang, proponemos prestar atención a la capacidad propia de los movimientos migratorios para intervenir en transformaciones estructurales de tipo económico, político, cultural y legal. Este enfoque en las migraciones como factor geopolítico puede guiar futuras investigaciones y enriquecer nuestra comprensión de las transformaciones en las fronteras y de la geopolítica misma

Invasive pneumococcal disease in tuscany region, Italy, 2016–2017: Integrating multiple data sources to investigate underreporting

Invasive pneumococcal disease (IPD) is a vaccine-preventable disease characterized by the presence of Streptococcus pneumoniae in normally sterile sites. Since 2007, Italy has implemented an IPD national surveillance system (IPD-NSS). This system suffers from high rates of underreporting. To estimate the level of underreporting of IPD in 2016–2017 in Tuscany (Italy), we integrated data from IPD-NSS and two other regional data sources, i.e., Tuscany regional microbiological surveillance (Microbiological Surveillance and Antibiotic Resistance in Tuscany, SMART) and hospitalization discharge records (HDRs). We collected (1) notifications to IPD-NSS, (2) SMART records positive for S. pneumoniae from normally sterile sites, and (3) hospitalization records with IPD-related International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9) codes in discharge diagnoses. We performed data linkage of the three sources to obtain a combined surveillance system (CSS). Using the CSS, we calculated the completeness of the three sources and performed a three-source log-linear capture–recapture analysis to estimate total IPD underreporting. In total, 127 IPD cases were identified from IPD-NSS, 320 were identified from SMART, and 658 were identified from HDRs. After data linkage, a total of 904 unique cases were detected. The average yearly CSS notification rate was 12.1/100,000 inhabitants. Completeness was 14.0% for IPD-NSS, 35.4% for SMART, and 72.8% for HDRs. The capture–recapture analysis suggested a total estimate of 3419 cases of IPD (95% confidence interval (CI): 1364–5474), corresponding to an underreporting rate of 73.7% (95% CI: 34.0–83.6) for CSS. This study shows substantial underreporting in the Tuscany IPD surveillance system. Integration of available data sources may be a useful approach to complement notification-based surveillance and provide decision-makers with better information to plan effective control strategies against IPD

Comparison and Uncertainty Quantification of Two-Fluid Models forBubbly Flows with NEPTUNE_CFD and STAR-CCM+

International audienceThe nuclear industry is interested in better understanding the behavior of turbulent boiling flowsand in using modern computational tools for the design and analysis of advanced fuels and reactorsand for simulation and study of mitigation strategies in accident scenarios. Such interests serve asdrivers for the advancement of the 3-dimensional multiphase Computational Fluid Dynamicsapproach. A pair of parallel efforts have been underway in Europe and in the United States, theNEPTUNE and CASL programs respectively, that aim at delivering advanced simulation tools thatwill enable improved safety and economy of operations of the reactor fleet. Results from acollaboration between these two efforts, aimed at advancing the understanding of multiphaseclosures for pressurized water reactor (PWR) application, are presented. Particular attention is paidto the assessment and analysis of the different physical models implemented in NEPTUNE_CFDand STAR-CCM+ codes used in the NEPTUNE and the CASL programs respectively, forapplication to turbulent two-phase bubbly flows. The experiments conducted by Liu and Bankoff(Liu, 1989; Liu and Bankoff 1993a and b) are selected for benchmarking, and predictions from thetwo codes are presented for a broad range of flow conditions and with void fractions varyingbetween 0 and 50percent. Comparison of the CFD simulations and experimental measurements revealsthat a similar level of accuracy is achieved in the two codes. The differences in both sets of closuremodels are analyzed, and their capability to capture the main features of the flow over a wide rangeof experimental conditions are discussed. This analysis paves the way for future improvements ofexisting two-fluid models. The benchmarks are further leveraged for a systematic study of thepropagation of model uncertainties. This provides insights into mechanisms that lead to complexinteractions between individual closures (of the different phenomena) in the multiphase CFDapproach. As such, it is seen that the multi-CFD-code approach and the principled uncertaintyquantification approach are both of great value in assessing the limitations and the level of maturityof multiphase hydrodynamic closures

Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis

Interest in the potential of DNA methylation in peripheral blood as a biomarker of cancer risk is increasing. We aimed to assess whether epigenome-wide DNA methylation measured in peripheral blood samples obtained before onset of the disease is associated with increased risk of breast cancer. We report on three independent prospective nested case-control studies from the European Prospective Investigation into Cancer and Nutrition (EPIC-Italy; n = 162 matched case-control pairs), the Norwegian Women and Cancer study (NOWAC; n = 168 matched pairs), and the Breakthrough Generations Study (BGS; n = 548 matched pairs). We used the Illumina 450k array to measure methylation in the EPIC and NOWAC cohorts. Whole-genome bisulphite sequencing (WGBS) was performed on the BGS cohort using pooled DNA samples, combined to reach 50× coverage across ~16 million CpG sites in the genome including 450k array CpG sites. Mean β values over all probes were calculated as a measurement for epigenome-wide methylation

CFD ANALYSES OF THE TN-24P PWR SPENT FUEL STORAGE CASK

ABSTRACT Dry storage casks are used to store spent nuclear fuel after removal from the reactor spent fuel pool. Even prior to the Fukushima earthquake of March 2011, dry storage of spent fuel was receiving increased attention as many reactor spent fuel pools near their capacity. Many different types of cask designs are used, and one representative design is the TN-24P spent fuel cask, a nonventilated steel cask with a shielded exterior shell and lid. The cask is typically filled with an inert gas such as helium, argon or nitrogen. In this paper, Computational Fluid Dynamics (CFD) calculation results for the thermal performance of the TN-24P cask using the commercial CFD software STAR-CCM+ are presented. Initial calculations employ a common approach of treating the fuel assemblies as conducting porous media with calibrated volume-averaged properties, and comparison to existing measured temperature data shows good agreement. One of the fuel assemblies is then replaced with a more accurate representation that includes the full geometric detail of the fuel rods, guide tubes, spacer grids and end fittings (flow nozzles), and the results shown are consistent with the initial analysis, but without the need for the assumptions inherent in the porous media approach. This hybrid modeling approach also permits the direct determination of important results, such as the precise location of peak fuel cladding temperatures (PCTs), which is not possible using the more traditional porous media approach

Segmentation of Retinal Ganglion Cells From Fluorescent Microscopy Imaging

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Serum oncostatin M at baseline predicts mucosal healing in Crohn's disease patients treated with infliximab

Background: Oncostatin M is upregulated in Crohn's disease inflamed intestinal mucosa, and has been suggested as a promising biomarker to predict responsiveness to anti-TNF therapy in patients with inflammatory bowel diseases. Aim: To evaluate the suitability of serum oncostatin M as a predictive marker of response to infliximab in Crohn's disease. Methods: We included patients treated with infliximab monotherapy. All patients underwent colonoscopy at week 54 to evaluate mucosal healing. Serum oncostatin M and faecal calprotectin were measured at baseline and after 14 weeks of treatment. Mann-Whitney test was used to evaluate correlation of oncostatin M and faecal calprotectin at baseline and week 14 with mucosal healing at week 54. Their accuracy in predicting mucosal healing was assessed by area under the curve (AUC). Results: In a cohort of 45 included patients, 27 displayed mucosal healing. At both baseline and week 14, oncostatin M levels were significantly lower in patients with mucosal healing than in patients not achieving this endpoint (P < 0.001). Faecal calprotectin levels at week 14 were lower also in responders than nonresponders (P < 0.001). Oncostatin M values at baseline and week 14 were significantly associated (Spearman correlation = 0.92, P < 0.001). The diagnostic accuracy of oncostatin M at baseline in predicting mucosal healing (AUC = 0.91) was greater than faecal calprotectin (AUC = 0.51, P < 0.001). Conclusion: These results suggest that oncostatin M can predict the outcome of infliximab treatment. Compared with faecal calprotectin, the predictive capability of oncostatin M was appreciable at baseline, thus indicating oncostatin M as a promising biomarker for driving therapeutic choices in Crohn's disease

Empiema epidural asociado a abscesos paravertebrales y sublumbares en dos perros: diagnóstico mediante tomografia computerizada y mielografia

Los empiemas epidurales son acúmulos de material purulento en el espacio epidural del canal vertebral. Se trata de una patología poco frecuente tanto en el perro como en el gato. En este artículo se describen los hallazgos clínicos, pruebas diagnósticas, tratamiento y evolución de dos perros con empiema epidural destacándose el uso de la tomografía computerizada (TC) y su combinación con la inyección de contraste intratecal (mielo-TC)como método diagnóstico. Esta técnica permitió identificar la localización de la lesión medular así como las alteraciones paravertebrales, sublumbares y vertebrales asociadas al empiema. El origen de la infección no pudo ser determinado en ninguno de los casos, a pesar de que los signos radiológicos y ecográficos apuntan a la migración de un cuerpo extraño como causante de la misma

Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies

BACKGROUND: Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. METHODS: We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis ( 10 years). The false discovery rate (q value) was used to account for multiple testing. RESULTS: The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98). CONCLUSIONS: Our data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk