899 resultados para binary to multi-class classifiers
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Transmission of drug-resistant variants is influenced by several factors, including the prevalence of drug resistance in the population of HIV-1-infected patients, HIV-1 RNA levels and transmission by recently infected patients. In order to evaluate the impact of these factors on the transmission of drug-resistant variants, we have defined the population of potential transmitters and compared their resistance profiles to those of newly infected patients. Sequencing of pol gene was performed in 220 recently infected patients and in 373 chronically infected patients with HIV-1 RNA >1000 copies/ml. Minimal and maximal drug-resistance profiles of potential transmitters were estimated by weighting resistance profiles of chronically infected patients with estimates of the Swiss HIV-1-infected population, the prevalence of exposure to antiviral drugs and the proportion of infections attributed to primary HIV infections. The drug-resistance prevalence in recently infected patients was 10.5% (one class drug resistance: 9.1%; two classes: 1.4%; three classes: 0%). Phylogenetic analysis revealed significant clustering for 30% of recent infections. The drug-resistance prevalence in chronically infected patients was 72.4% (one class: 29%; two classes: 27.6%; three classes: 15.8%). After adjustment, the risk of transmission relative to wild-type was reduced both for one class drug resistance (minimal and maximal estimates: odds ratio: 0.39, P<0.001; and odds ratio: 0.55, P=0.011, respectively), and for two to three class drug resistance (odds ratios: 0.05 and 0.07, respectively, P<0.001). Neither sexual behaviour nor HIV-1 RNA levels explained the low transmission of drug-resistant variants. These data suggest that drug-resistant variants and in particular multidrug-resistant variants have a substantially reduced transmission capacity.
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Precarious work, in contrast to regular, permanent wage work, is commonly associated to insecure and unstable, and often poor quality jobs. The concept of precarious work relates either to a socioeconomic group which allows one to refer it to a "class in itself," or as - pursued more recently - to the precarization process which results in a growing fragmentation of societal structures. Common to both conceptions is that they refer to the exposition of workers to employment instability, limited access to legal and union protection, socially irresponsible and discriminating employment practices, and social and economic vulnerability in general. The present contribution provides an overview of some key issues and future directions of research on precarious work relevant to CSR researchers, policy-makers, and social scientists.
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The in situ hybridization Allen Mouse Brain Atlas was mined for proteases expressed in the somatosensory cerebral cortex. Among the 480 genes coding for protease/peptidases, only four were found enriched in cortical interneurons: Reln coding for reelin; Adamts8 and Adamts15 belonging to the class of metzincin proteases involved in reshaping the perineuronal net (PNN) and Mme encoding for Neprilysin, the enzyme degrading amyloid β-peptides. The pattern of expression of metalloproteases (MPs) was analyzed by single-cell reverse transcriptase multiplex PCR after patch clamp and was compared with the expression of 10 canonical interneurons markers and 12 additional genes from the Allen Atlas. Clustering of these genes by K-means algorithm displays five distinct clusters. Among these five clusters, two fast-spiking interneuron clusters expressing the calcium-binding protein Pvalb were identified, one co-expressing Pvalb with Sst (PV-Sst) and another co-expressing Pvalb with three metallopeptidases Adamts8, Adamts15 and Mme (PV-MP). By using Wisteria floribunda agglutinin, a specific marker for PNN, PV-MP interneurons were found surrounded by PNN, whereas the ones expressing Sst, PV-Sst, were not.
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In Iowa, hundreds of people die and thousands more are injured on our public roadways each year despite decades of efforts to end this su�ffering. Past safety e�efforts have resulted in Iowans bene�fiting from one of the best state roadway systems in the nation. Due to multi-agency e�efforts, Iowa has achieved 90 percent compliance with the state’s mandatory front seat belt use law, earned the nation’s second-lowest percent of alcohol involvement in fatal crashes and made safety gains in system-wide roadway design and operational improvements. Despite these ongoing e�efforts, the state’s annual average of 445 deaths and thousands of life-changing injuries is a tragic toll and an unacceptable public health epidemic in our state. To save more lives on our roadways, Iowans must be challenged to think �differently about lifesaving measures addressing young drivers, safety belts, and motorcycle helmet use and accept innovative designs such as roundabouts. Iowa must apply evidence-based strategies and create a safety culture that motivates all citizens to travel more responsibly. They must demand a lower level of tolerance for Iowa’s roadway deaths and injuries. The Iowa Comprehensive Highway Safety Plan (CHSP) engages diverse safety stakeholders and charts the course for this state, bringing to bear sound science and the power of shared community values to change the culture and achieve a standard of safer travel for our citizens. How many roadway deaths and injuries are too many? Iowa’s highway safety stakeholders believe that, “One death is one too many” and e�effective culture-changing policy and program strategies must be implemented to help reduce this death toll from an annual average of 445 to 400 by the year 2015.
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A general method to find, in a systematic way, efficient Monte Carlo cluster dynamics among the avast class of dynamics introduced by Kandel et al. [Phys. Rev. Lett. 65, 941 (1990)] is proposed. The method is successfully applied to a class of frustrated two-dimensional Ising systems. In the case of the fully frustrated model, we also find the intriguing result that critical clusters consist of self-avoiding walk at the theta point.
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We give a sufficient condition for a set of block subspaces in an infinite-dimensional Banach space to be weakly Ramsey. Using this condition we prove that in the Levy-collapse of a Mahlo cardinal, every projective set is weakly Ramsey. This, together with a construction of W. H. Woodin, is used to show that the Axiom of Projective Determinacy implies that every projective set is weakly Ramsey. In the case of co we prove similar results for a stronger Ramsey property. And for hereditarily indecomposable spaces we show that the Axiom of Determinacy plus the Axiom of Dependent Choices imply that every set is weakly Ramsey. These results are the generalizations to the class of projective sets of some theorems from W. T. Gowers, and our paper "Weakly Ramsey sets in Banach spaces."
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The discovery of exhumed continental mantle and hyper-extended crust in present-day magma-poor rifted margins is at the origin of a paradigm shift within the research field of deep-water rifted margins. It opened new questions about the strain history of rifted margins and the nature and composition of sedimentary, crustal and mantle rocks in rifted margins. Thanks to the benefit of more than one century of work in the Alps and access to world-class outcrops preserving the primary relationships between sediments and crustal and mantle rocks from the fossil Alpine Tethys margins, it is possible to link the subsidence history and syn-rift sedimentary evolution with the strain distribution observed in the crust and mantle rocks exposed in the distal rifted margins. In this paper, we will focus on the transition from early to late rifting that is associated with considerable crustal thinning and a reorganization of the rift system. Crustal thinning is at the origin of a major change in the style of deformation from high-angle to low-angle normal faulting which controls basin-architecture, sedimentary sources and processes and the nature of basement rocks exhumed along the detachment faults in the distal margin. Stratigraphic and isotopic ages indicate that this major change occurred in late Sinemurian time, involving a shift of the syn-rift sedimentation toward the distal domain associated with a major reorganization of the crustal structure with exhumation of lower and middle crust. These changes may be triggered by mantle processes, as indicated by the infiltration of MOR-type magmas in the lithospheric mantle, and the uplift of the Brianconnais domain. Thinning and exhumation of the crust and lithosphere also resulted in the creation of new paleogeographic domains, the Proto Valais and Liguria-Piemonte domains. These basins show a complex, 3D temporal and spatial evolution that might have evolved, at least in the case of the Liguria-Piemonte basin, in the formation of an embryonic oceanic crust. The re-interpretation of the rift evolution and the architecture of the distal rifted margins in the Alps have important implications for the understanding of rifted margins worldwide, but also for the paleogeographic reconstruction of the Alpine domain and its subsequent Alpine compressional overprint.
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Data collected by the Cancer Registry of the Canton of Vaud, Switzerland, were used to estimate proportional mortality ratios (PMR) and mortality odds ratios (MOR) for various neoplasms according to social class and sector of occupation (agriculture versus others). Mortality ratios were elevated in lower social classes for cancers of the lung (MOR = 1.18 for social class IV or V vs I or II) and other sites strictly related to tobacco (mouth or pharynx, oesophagus and larynx; MOR = 1.70), and (though not significantly) for cancers of the stomach (MOR = 1.16) and uterus (MOR = 1.30 for cervix and 1.47 for corpus uteri). Furthermore, there was a strong negative social class gradient for thyroid cancer (a neoplasm with particularly elevated incidence and mortality in Switzerland), probably attributable to higher prevalence of iodine deficiency in lower social classes (MOR = 3.17). Positive social class gradients emerged for cancers of the intestines (MOR = 0.77 for social class IV or V), skin (MOR = 0.74) and prostate (MOR = 0.87). Agricultural workers showed decreased ratios for cancers of the lung (MOR = 0.75), cervix uteri (MOR = 0.72) and prostate (MOR = 0.80), and excess mortality from cancers of the upper digestive and respiratory sites (MOR = 1.22), stomach (MOR = 1.18), testis (MOR = 2.05) and lympho-haematopoietic neoplasms, particularly myeloma (MOR = 2.14).
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In order to understand the development of non-genetically encoded actions during an animal's lifespan, it is necessary to analyze the dynamics and evolution of learning rules producing behavior. Owing to the intrinsic stochastic and frequency-dependent nature of learning dynamics, these rules are often studied in evolutionary biology via agent-based computer simulations. In this paper, we show that stochastic approximation theory can help to qualitatively understand learning dynamics and formulate analytical models for the evolution of learning rules. We consider a population of individuals repeatedly interacting during their lifespan, and where the stage game faced by the individuals fluctuates according to an environmental stochastic process. Individuals adjust their behavioral actions according to learning rules belonging to the class of experience-weighted attraction learning mechanisms, which includes standard reinforcement and Bayesian learning as special cases. We use stochastic approximation theory in order to derive differential equations governing action play probabilities, which turn out to have qualitative features of mutator-selection equations. We then perform agent-based simulations to find the conditions where the deterministic approximation is closest to the original stochastic learning process for standard 2-action 2-player fluctuating games, where interaction between learning rules and preference reversal may occur. Finally, we analyze a simplified model for the evolution of learning in a producer-scrounger game, which shows that the exploration rate can interact in a non-intuitive way with other features of co-evolving learning rules. Overall, our analyses illustrate the usefulness of applying stochastic approximation theory in the study of animal learning.
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Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.
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Résumé pour large public Unité de Biochimie et Psychopharmacologie Clinique, Centre de neurosciences Psychiatrique, Département de Psychiatrie Adulte, Faculté de Biologie et de Médecine, Université de Lausanne Lors de la prise d'un médicament, celui-ci va passer par différentes étapes que sont l'absorption, la distribution, le métabolisme et enfin l'élimination. Ces quatre étapes sont regroupées sous le nom de pharmacocinétique. A noter que ces quatre paramètres sont dynamiques et en constante évolution. Durant cette thèse, nous avons investigué différents aspects de la pharmacocinétique, tout d'abord par une revue de la littérature sur la glycoprotéine-P (Pgp). Récemment découverte, cette protéine de membrane est située aux endroits stratégiques de l'organisme comme la barrière hématoencéphalée, le placenta ou les intestins où elle influencera l'entrée de différentes substances, en particulier les médicaments. La Pgp serait impliquée dans les phénomènes de résistances aux agents thérapeutiques en oncologie. La Pgp influence donc l'absorption des médicaments, et son impact en clinique, en termes d'efficacité de traitement et de toxicité prend chaque jour plus d'importance. Ensuite nous avons mis au point une méthode d'analyse quantitative d'un antidépresseur d'une nouvelle génération : la mirtazapine (Remeron®). La nouveauté réside dans la façon dont la mirtazapine interagit avec les neurotransmetteurs impliqués dans la dépression que sont la sérotonine et la noradrénaline. Cette méthode utilise la chromatographie liquide pour séparer la mirtazapine de ses principaux métabolites dans le sang. La spectrométrie de masse est utilisée pour les détecter et les quantifier. Les métabolites sont des substances issues de réactions chimiques entre la substance mère, la mirtazapine, et généralement des enzymes hépatiques, dans le but de rendre cette substance plus soluble en vue de son élimination. Cette méthode permet de quantifier la mirtazapine et ses métabolites dans le sang de patients traités et de déterminer la variation des taux plasmatiques chez ces patients. Puis nous avons étudié le métabolisme d'un autre antidépresseur, le citalopram, qui a un métabolisme complexe. Le citalopram est un racémate, c'est-à-dire qu'il existe sous forme de deux entités chimiques (R-(-) et S-(+) citalopram) qui ont le même nombre d'éléments mais arrangés différemment dans l'espace. La voie métabolique cérébrale du citalopram est sous le contrôle d'une enzyme, la monoamine oxydase (MAO), conduisant à une forme acide du citalopram (l'acide propionique du citalopram). La MAO existe sous deux formes : MAO-A et MAO-B. Nous avons utilisé des souris déficientes d'un gène, celui de la MAO-A, pour mieux en comprendre le métabolisme en les comparants à des souris sauvages (sans déficience de ce gène). Nous avons utilisé le citalopram et deux de ses métabolites (le déméthylcitaloprarn et le didéméthyícitalopram) comme substrats pour tester la formation in vitro de l'acide propionique du citalopram. Nos résultats montrent que la MAO-A favorise la formation de l'entité R-(-) et présente une plus grande affinité pour le citalopram, tandis que la MAO-B métabolise préférentiellement l'entité S-(+) et a une plus grande affinité pour les deux métabolites déméthylés. De plus, la déficience en MAO-A est partiellement compensée parla MAO-B chez les souris déficientes du gène de la MAO-A. Enfin, nous avons étudié une deuxième voie métabolique du citalopram qui s'est avérée toxique chez le chien Beagle. Celle-ci est catalysée par une autre famille d'enzymes, les cytochromes P-450, et mène aux métabolites déméthylés et didéméthylés du citalopram. Nous avons utilisé des tissus hépatiques de chiens Beagle. Plusieurs cytochromes P-450 sont impliqués dans le métabolisme du citalopram menant à sa forme déméthylée, ceci tant chez l'homme que chez le chien. Par contre, dans le métabolisme de la forme déméthylée menant à 1a forme didéméthylée, un seul cytochrome P-450 serait impliqué chez l'Homme, tandis qu'ils seraient plusieurs chez le chien. L'activité enzymatique produisant la forme didéméthylée est beaucoup plus importante chez le chien comparé à l'homme. Cette observation soutien l'hypothèse que des taux élevés de la forme didéméthylée participent à la toxicité spécifique du citalopram chez le chien. Nous pouvons conclure que plusieurs famille d'enzymes sont impliquées tant au niveau cérébral qu'hépatique dans la métabolisation de médicaments psychotropes. Sachant que les enzymes peuvent être stimulées ou inhibées, il importe de pouvoir suivre au plus prés les taux plasmatiques des différents psychotropes et de leurs métabolites. Résumé Unité de Biochimie et Psychopharmacologie Clinique, Centre de neurosciences Psychiatrique, Département de Psychiatrie Adulte, Faculté de Biologie et de Médecine, Université de Lausanne La plupart des médicaments subissent une transformation enzymatique dans l'organisme. Les substances issues de cette métabolisation ne sont pas toujours dotées d'une activité pharmacologique. Il s'est avéré par conséquent indispensable de suivre les taux plasmatiques d'une substance et de ses métabolites et d'établir ou non l'existence d'une relation avec l'effet clinique observé. Ce concept nommé « therapeutic drag monitoring » (TDM) est particulièrement utile en psychiatrie ou un manque de compliance des patients est fréquemment observé. Les médicaments psychotropes ont un métabolisme principalement hépatique (cytochromes P-450) et parfois cérébral (monoamines oxydases), comme pour le citalopram par exemple. Une méthode stéréosélective de chromatographie liquide couplée à la spectrométrie de masse a été développée pour analyser les énantiomères R-(-) et S-(+) d'un antidépresseur agissant sur les récepteurs noradrénergiques et sérotoninergiques, la mirtazapine et de ses métabolites déméthylmirtazapine et 8-hydroxymirtazapine. Les données préliminaires obtenues dans les plasmas dosés suggèrent que les concentrations de R-(-)-mirtazapine sont plus élevées que celles de S-(+)-mirtazapine, à l'exception des patients qui auraient comme co-médication des inhibiteurs du CYP2D6, telle que la fluoxétine ou la thioridazine. Il y a une enantiosélectivité du métabolisme de la mirtazapine. En particulier pour la 8-hydroxymirtazapine qui est glucuroconjuguée et pour laquelle le ratio S/R varie considérablement. Cette méthode analytique présente l'avantage d'être utilisable pour le dosage stéréosélectif de la mirtazapine et de ses métabolites dans le plasma de patients ayant d'autres substances en co-médication. La glycoprotéine P fonctionne comme une pompe transmembranaire transportant les xénobiotiques depuis le milieu intracellulaire vers le milieu extracellulaire. Son induction et son inhibition, bien que moins étudiées que pour les cytochromes P-450, ont des implications cliniques importantes en termes d'efficacité de traitement et de toxicité. Cette glycoprotéine P a fait l'objet d'une recherche bibliographique. Nous avons étudié le métabolisme du citalopram, un antidépresseur de la classe des inhibiteurs spécifiques de la recapture de la sérotonine chez la souris et chez le chien. Cette substance subit un métabolisme complexe. La voie de métabolisation conduisant à la formation de l'acide propionique du citalopram, catalysée par les monoamines oxydases, a été étudiée in vitro dans les mitochondries cérébrales chez la souris déficiente du gène de la MAO-A (Tg8). La monoamine oxydase A catalyse la formation de l'énantiomère R-(-) et présente une plus grande affinité pour les amines tertiaires, tandis que la monoamine oxydase B favorise la formation de la forme S-(+) et a une affinité plus marquée pour les amines secondaires et primaires. L'étude du citalopram chez la souris Tg8 adulte a montré que la monoamine oxydase B compense la déficience de la monoamine oxydase A chez ces souris génétiquement modifiées. Une autre voie de métabolisation du citalopram conduisant à la formation de didéméthylcitalopram, catalysée par les cytochromes P-450, a été étudiée in vitro dans des microsomes hépatiques de chiens Beagle. Nos études ont montré que les cinétiques de N-déméthylation du citalopram sont biphasiques chez le chien. Les orthologues canins impliqués dans la première N-déméthylation semblent être identiques aux cytochromes P-450 humains. Par contre, dans la deuxième Ndéméthylation, un seul cytochrome P-450 semble être impliqué chez l'homme (CYP2D6), tandis qu'on retrouve jusqu'à cinq orthologues chez le chien. Le CYP2D15, orthologue canin du CYP2D6, est majoritairement impliqué. De plus, l'activité enzymatique, reflétée par les clairances intrinsèques, dans la première N-déméthylation est jusqu'à 45 fois plus élevée chez le chien comparé à l'homme. Ces différentes observations soutiennent l'hypothèse que des taux élevés de didéméthylcitalopram sont responsables de la toxicité du citalopram chez le chien. Nous pouvons conclure que plusieurs famille d'enzymes sont impliquées tant au niveau cérébral qu'hépatique dans la métabolisation de médicaments psychotropes. Sachant -que les enzymes peuvent être induits ou inhibés, il importe de pouvoir suivre au plus près les taux plasmatiques des différents psychotropes et de leurs métabolites. Summary Most of the drugs are metabolized in the organism. Substances issued from this metabolic activity do not always show a pharmacological activity. Therefore, it is necessary to monitor plasmatic levels of drugs and their metabolites, and establish the relationship with the clinical effect. This concept named therapeutic drug monitoring is very useful in psychiatry where lack of compliance is commonly observed. Antidepressants are mainly metabolized in the liver (cytochrome P-450) and sometimes in the brain (monoamine oxidase) like the citalopram, for exemple. A LC-MS method was developed, which allows the simultaneous analysis of R-(-) and S-(+) enantiomers of mirtazapine, an antidepressant acting specifically on noradrenergic and serotonergic receptors, and its metabolites demethylmirtazapine and 8-hydroxymirtazapine in plasma of mirtazapine treated patients. Preliminary data obtained suggested that R-(-) mirtazapine concentrations were higher than those of S-(+) mirtazapine, except in patients comedicated with CYP2D6 inhibitors such as fluoxetine or thioridazine. There is an enantioselectivity in the metabolism of mirtazapine. In particular for the 8-hydroxymirtazapine, which is glucuroconjugated and S/R ratio varies considerably. Therefore this method seems to be suitable for the stereoselective assay of mirtazapine and its metabolites in plasma of patients comedicated with mirtazapine and other drugs for routine and research purposes. P-glycoprotein is working as an efflux transporter of xenobiotics from intracellular to extracellular environment. Its induction or inhibition, although less studied than cytochrome P-450, has huge clinical implications in terms of treatment efficacy and toxicity. An extensive literature search on P-glycoprotein was performed as part of this thesis. The study of citalopram metabolism, an antidepressant belonging to the class of selective serotonin reuptake inhibitors. This substance undergoes a complex metabolism. First metabolization route leading to citalopram propionic acid, catalyzed by monoamine oxidase was studied in vitro in mice brain mitochondria. Monoamine oxidase A catalyzed the formation of R-(-) enantiomer and showed greater affinity for tertiary amines, whereas monoamine oxidase B triggered the formation of S-(+) enantiomer and demonstrated higher affinity for primary and secondary amines. citalopram evaluation in adult Tg8 mice showed that monoamine oxidase B compensated monoamine oxidase A deficiency in those genetically transformed mice. The second metabolization route of citalopram leading to didemethylcitalopram and catalyzed by cytochrome P-450 was studied in vitro in Beagle dog's livers. Our results showed that citalopram N-demethylation kinetics are biphasic in dogs. Canine orthologs involved in the first N-demethylation seemed to be identical to human cytochromes P-450. However, in the second N-demethylation only one cytochrome P-450 seemed to be involved in human (CYP2D6), whereas up to five canine orthologs were found in dogs. CYP2D15 canine ortholog of CYP2D6 was mainly involved. In addition, enzymatic activity reflected by intrinsic clearance in the first N-demethylation was up to 45 fold higher in dogs compared to humans. Those observations support the assumption that elevated rates of didemethylcitalopram are responsible for citalopram toxicity in dogs. We can conclude that several enzymes groups are involved in the brain, as well as in the liver, in antidepressant metabolization. Knowing that enzymes may be induced or inhibited, it makes sense to closely monitor plasmatic levels of antidepressants and their metabolites.
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Durante los últimos años, diversas instituciones y universidades han comenzado a experimentar con el m-learning y Facebook a través de diferentes proyectos como parte de sus metodologías de aprendizaje y como una oportunidad para trabajar con los jóvenes. Sin embargo, poco se sabe de las percepciones y experiencias que pueden obtener estudiantes de diseño sobre este tema. En este estudio 24 estudian - tes han completado sus actividades de aprendizaje durante dos meses, utilizando un smarthphone y la popular red social Facebook. Al final del plazo, los estudiantes participaron además en un grupo de discusión para expresar sus experiencias. Los resultados indicaron que los estudiantes utilizaron Facebook como parte de su rutina diaria y que fueron creadores de contenido proporcionando estos a otros. Además los resultados indican que durante el primer mes perdieron mucho tiempo observando contenidos propuestos en Facebook, que después comentaron. El grupo en Facebook fue utilizado para la interacción social principalmente con otros estudiantes y el profesor, como un complemento a las sesiones presenciales. Los resultados obtenidos y el empleo de estrategias, puede ayudar a la concep - tualización del m-learning y mostrar como Facebook puede funcionar como un entorno de aprendizaje para apoyar la enseñanza y aprendizaje en el área del diseño.
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Past temperature variations are usually inferred from proxy data or estimated using general circulation models. Comparisons between climate estimations derived from proxy records and from model simulations help to better understand mechanisms driving climate variations, and also offer the possibility to identify deficiencies in both approaches. This paper presents regional temperature reconstructions based on tree-ring maximum density series in the Pyrenees, and compares them with the output of global simulations for this region and with regional climate model simulations conducted for the target region. An ensemble of 24 reconstructions of May-to-September regional mean temperature was derived from 22 maximum density tree-ring site chronologies distributed over the larger Pyrenees area. Four different tree-ring series standardization procedures were applied, combining two detrending methods: 300-yr spline and the regional curve standardization (RCS). Additionally, different methodological variants for the regional chronology were generated by using three different aggregation methods. Calibration verification trials were performed in split periods and using two methods: regression and a simple variance matching. The resulting set of temperature reconstructions was compared with climate simulations performed with global (ECHO-G) and regional (MM5) climate models. The 24 variants of May-to-September temperature reconstructions reveal a generally coherent pattern of inter-annual to multi-centennial temperature variations in the Pyrenees region for the last 750 yr. However, some reconstructions display a marked positive trend for the entire length of the reconstruction, pointing out that the application of the RCS method to a suboptimal set of samples may lead to unreliable results. Climate model simulations agree with the tree-ring based reconstructions at multi-decadal time scales, suggesting solar variability and volcanism as the main factors controlling preindustrial mean temperature variations in the Pyrenees. Nevertheless, the comparison also highlights differences with the reconstructions, mainly in the amplitude of past temperature variations and in the 20th century trends. Neither proxy-based reconstructions nor model simulations are able to perfectly track the temperature variations of the instrumental record, suggesting that both approximations still need further improvements.
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Among existing fungal pathogens, Candida glabrata is outstanding in its capacity to rapidly develop resistance to currently used antifungal agents. Resistance to the class of azoles, which are still widely used agents, varies in proportion (from 5 to 20%) depending on geographical area. Moreover, resistance to the class of echinocandins, which was introduced in the late 1990s, is rising in several institutions. The recent emergence of isolates with acquired resistance to both classes of agents is a major concern since alternative therapeutic options are scarce. Although considered less pathogenic than C. albicans, C. glabrata has still evolved specific virulence traits enabling its survival and propagation in colonized and infected hosts. Development of drug resistance is usually associated with fitness costs, and this notion is documented across several microbial species. Interestingly, azole resistance in C. glabrata has revealed the opposite. Experimental models of infection showed enhanced virulence of azole-resistant isolates. Moreover, azole resistance could be associated with specific changes in adherence properties to epithelial cells or innate immunity cells (macrophages), both of which contribute to virulence changes. Here we will summarize the current knowledge on C. glabrata drug resistance and also discuss the consequences of drug resistance acquisition on the balance between C. glabrata and its hosts.
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Abs bind to unprocessed Ags, whereas cytotoxic CD8(+) T cells recognize peptides derived from endogenously processed Ags presented in the context of class I MHC complexes. We screened, by ELISA, human sera for Abs reacting specifically with the influenza matrix protein (IMP)-derived peptide58-66 displayed by HLA-A*0201 complexes. Among 653 healthy volunteers, blood donors, and women on delivery, high-titered HLA-A*0201/IMP58-66 complex-specific IgG Abs were detected in 11 females with a history of pregnancies and in 1 male, all HLA-A*0201(-). These Abs had the same specificity as HLA-A*0201/IMP58-66-specific cytotoxic T cells and bound neither to HLA-A*0201 nor the peptide alone. No such Abs were detected in HLA-A*0201(+) volunteers. These Abs were not cross-reactive to other self-MHC class I alleles displaying IMP58-66, but bound to MHC class I complexes of an HLA nonidentical offspring. HLA-A*0201/IMP58-66 Abs were also detected in the cord blood of newborns, indicating that HLA-A*0201/IMP58-66 Abs are produced in HLA-A*0201(-) mothers and enter the fetal blood system. That Abs can bind to peptides derived from endogenous Ags presented by MHC complexes opens new perspectives on interactions between the cellular and humoral immune system.