ClassTAL

This is the description of a Matlab script (classTAL.m) that automatically classifies BrainVoyager .voi maps with afni brain atlas. The script saves many useful output files

Increased multi-drug resistance among the elderly on admission to the hospital--a 12-year surveillance study.

Resistance to antimicrobials continues to increase worldwide. Data suggest that older patients are among the main reservoirs of multidrug-resistant organisms (MDROs) in the hospital. We hypothesized that older patients (≥ 65 years of age) are more likely to harbor MDRO at hospital admission. We compared rates of methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE) and multidrug-resistant gram-negative bacteria (MDRGN) recovered from clinical cultures within the first 48 h of admission to an adult acute care hospital between the elderly (≥ 65 years old) and young per 1000 age-stratified admissions over a 12-year study period. Trends in antimicrobial resistance, sites of recovery and species for MDRGN were also characterized. An average of 7534 positive bacterial cultures were collected per year. The admission prevalence per 1000 age-stratified admissions was consistently higher among the elderly for all three MDRO under investigation. Among the elderly, the admission prevalence increased significantly for VRE (0.89 in 1998 to 3.62 in 2009 per 1000 admissions; p < 0.001) and MDRGN (1.41 in 1998 to 11.33 in 2009 per 1000 admissions; p < 0.001). Percentage resistant for all three MDRO increased as well. These data suggest that elderly patients are contributing substantially to the influx of MDRO into the hospital setting

Mise en oeuvre d'un plateau technique en métrologie au sein d'un organisme de recherche français (Cirad, Montpellier, France)

Au Cirad un plateau technique métrologie est mis à disposition des unités de recherche. Ce plateau propose des formations à la métrologie ainsi que des appuis spécifiques : accompagnement à des accréditations et/ou certifications, audit, formation et utilisation d'un logiciel de gestion de parcs d'instruments de mesure destiné à automatiser et tracer l'ensemble des interventions techniques sur les équipements. Cet outil contribue également à améliorer la traçabilité et l'évaluation des fournisseurs de l'organisme. Des correspondants métrologie, répartis dans les unités de recherche, partagent leur expérience et savoir-faire. Ce plateau technique permet de mutualiser les moyens de mesure et donc de rationaliser leur utilisation tout en optimisant les coûts. Les outils déployés permettent de sensibiliser à la métrologie les chercheurs et les techniciens des laboratoires. Aujourd'hui, une dizaine d'équipes de recherche du Cirad ont obtenu des reconnaissances externes. Ce plateau technique coopère avec différents réseaux nationaux institutionnels et associatifs relatifs aux domaines de la métrologie et de la qualité. (Résumé d'auteur

2008-2011 snow covered area (SCA) variability over 18 watersheds of the central Chile through MODIS data

Snowmelt contributes largely to water budget of several Chilean mountain watersheds. To describe snow covered area (SCA) variability within 18 watersheds in Central Chile during 2008\u20132011 we used MODIS data (i.e. MOD10A2-V5 maximum snow cover extent in eight-day periods). The study area was divided into three different zones (Northern, Central, and Southern), due to its large extent (~205,000 km2), and according to former studies performed by the Direcc\uedon General de Aguas (DGA) of the Chilean Government covering the time window 2000\u20132007. After georeferencing our data to the WGS84 Datum (UTM Projection, zone 19S), the scenes were cropped to fit the study area. We selected and set a threshold for cloud coverage (<30%) in order to discard the images with too cloud cover, so losing only 2% of the sample. Hypsographic and aspect analyses were performed using the SRTM3 elevation model. We found largest values of SCA during 2008\u20132011 in the Central Zone, while the topographic and climatic features (i.e. lower altitudes in the South, and a drier climate in the North) limit snow deposition elsewhere. Similarly, snow line is higher in the Northern zone (due to the presence of the plateau), and lower moving southwards. In the North the minimum SCA is reached sooner than elsewhere, lasting for a longer period (November to March). West side showed the maximum of SCA in all zones throughout the study period. The present work extends in time the dataset of SCA in the Central Chile, adding information for statistic assessment, and trend analysis of snow cover in this area

Prediction of future hydrological regimes in poorly gauged high altitude basins: the case study of the upper Indus, Pakistan

In the mountain regions of the Hindu Kush, Karakoram and Himalaya (HKH) the "third polar ice cap" of our planet, glaciers play the role of "water towers" by providing significant amount of melt water, especially in the dry season, essential for agriculture, drinking purposes, and hydropower production. Recently, most glaciers in the HKH have been retreating and losing mass, mainly due to significant regional warming, thus calling for assessment of future water resources availability for populations down slope. However, hydrology of these high altitude catchments is poorly studied and little understood. Most such catchments are poorly gauged, thus posing major issues in flow prediction therein, and representing in fact typical grounds of application of PUB concepts, where simple and portable hydrological modeling based upon scarce data amount is necessary for water budget estimation, and prediction under climate change conditions. In this preliminarily study, future (2060) hydrological flows in a particular watershed (Shigar river at Shigar, ca. 7000 km&lt;sup&gt;2&lt;/sup&gt;), nested within the upper Indus basin and fed by seasonal melt from major glaciers, are investigated. &lt;br&gt;&lt;br&gt; The study is carried out under the umbrella of the SHARE-Paprika project, aiming at evaluating the impact of climate change upon hydrology of the upper Indus river. We set up a minimal hydrological model, tuned against a short series of observed ground climatic data from a number of stations in the area, in situ measured ice ablation data, and remotely sensed snow cover data. The future, locally adjusted, precipitation and temperature fields for the reference decade 2050–2059 from &lt;i&gt;CCSM3&lt;/i&gt; model, available within the IPCC's panel, are then fed to the hydrological model. We adopt four different glaciers' cover scenarios, to test sensitivity to decreased glacierized areas. The projected flow duration curves, and some selected flow descriptors are evaluated. The uncertainty of the results is then addressed, and use of the model for nearby catchments discussed. The proposed approach is valuable as a tool to investigate the hydrology of poorly gauged high altitude areas, and to project forward their hydrological behavior pending climate change