A continuous strain-space model of viral evolution within a host

Viruses rapidly evolve, and HIV in particular is known to be one of the fastest evolving human viruses. It is now commonly accepted that viral evolution is the cause of the intriguing dynamics exhibited during HIV infections and the ultimate success of the virus in its struggle with the immune system. To study viral evolution, we use a simple mathematical model of the within-host dynamics of HIV which incorporates random mutations. In this model, we assume a continuous distribution of viral strains in a one-dimensional phenotype space where random mutations are modelled by di ffusion. Numerical simulations show that random mutations combined with competition result in evolution towards higher Darwinian fitness: a stable traveling wave of evolution, moving towards higher levels of fi tness, is formed in the phenoty space.

The relationship between genetic variability and the susceptibility of Biomphalaria alexandrina snails to Schistosoma mansoni infection

In the present study, Biomphalaria snails collected from five Egyptian governorates (Giza, Fayoum, Kafr El-Sheikh, Ismailia and Damietta), as well as reference control Biomphalaria alexandrina snails from the Schistosome Biological Supply Center (SBSC) (Theodor Bilharz Research Institute, Egypt), were subjected to species-specific polymerase chain reaction (PCR) assays to identify the collected species. All of the collected snails were found to be B. alexandrina and there was no evidence of the presence of Biomphalaria glabrata. Randomly amplified polymorphic DNA (RAPD)-PCR assays showed different fingerprints with varying numbers of bands for the first generation (F1) of B. alexandrina snail populations (SBSC, Giza, Fayoum, Kafr El-Sheikh, Ismailia and Damietta). The primer OPA-1 produced the highest level of polymorphism and amplified the greatest number of specific bands. The estimated similarity coefficients among the B. alexandrina populations based on the RAPD-PCR profiles ranged from 0.56 (between SBSC and Ismailia snails) to 0.72 (between Ismailia and Kafr El-Sheikh snails). Experimental infection of the F1 of progeny from the collected snails with Schistosoma mansoni (SBSC strain) showed variable susceptibility rates ranging from 15% in the Fayoum snail group to 50.3% in SBSC snails. A negative correlation was observed between the infection rates in the different snail groups and the distances separating their corresponding governorates from the parasite source. The infection rates of the snail groups and their similarity coefficients with SBSC B. alexandrina snails were positively correlated. The variations in the rates of infection of different B. alexandrina groups with S. mansoni, as well as the differences in the similarity coefficients among these snails, are dependent not only on the geographical distribution of the snails and the parasite, but also on the genetic variability of the snails. Introduction of this variability into endemic areas may reduce the ability of the parasite to infect local hosts and consequently reduce schistosomiasis epidemiology.

The interactional space in CLIL (Content and Language Integrated Learning) and EFL (English as a Foreign Language) classrooms

Aquest estudi pretén investigar els intercanvis verbals mestre/a – aprenent(s) en dos contextos d'instrucció diferents: classes amb un enfocament AICLE (Aprenentatge Integrat de Continguts Curriculars i Llengua Estrangera) on s’aprenen continguts no lingüístics a través de l’anglès, per una banda, i classes 'tradicionals' d'anglès com a llengua estrangera, on l’anglès és alhora objecte d’estudi i vehicle de comunicació, per una altra banda. Més concretament, les preguntes que formula el/la mestre/a, la producció oral dels aprenents i el 'feedback' del/de la mestre/a en els episodis d’atenció a la forma s’han estudiat a la llum de les principals teories provinents del camp de l’Adquisició de Segones Llengües (SLA) per tal de demostrar el seu paper en l’aprenentatge de l’anglès. El corpus de dades prové de l’enregistrament de 7 sessions AICLE i d'11 sessions EFL enregistrades en format àudio i vídeo en dos centres públics d’Educació Primària (EP) de Catalunya. A cadascuna de les escoles, el/la mateix/a mestre/a és l’encarregat/da dels dos tipus d’instrucció amb el mateix grup d’aprenents (10-11 anys d’edat), fet que permet eliminar variables individuals com l'aptitud dels aprenents o l'estil del/de la mestre/a.Els resultats mostren un cert nombre de similituds discursives entre AICLE i EFL donat que ambdós enfocaments tenen lloc en el context-classe amb unes característiques ben definides. Tal com apunta la recerca realitzada en aquest camp, la instrucció AICLE reuneix un seguit de condicions idònies per un major desenvolupament dels nivells de llengua anglesa més enllà de les classes ‘tradicionals’ d’anglès. Malgrat això, aquest estudi sembla indicar que el potencial d'AICLE pel que fa a facilitar una exposició rica a l’anglès i una producció oral significativa no s’explota degudament. En aquest sentit, els resultats d’aquest estudi poden contribuir a la formació dels futurs professors d'AICLE si es busca l’assoliment d’una complementarietat d’ambdós contextos amb l’objectiu últim de millorar els nivells de domini de la llengua anglesa.

Variability of ascending aorta diameter measurements as assessed with electrocardiography-gated multidetector computerized tomography and computer assisted diagnosis software.

Recently, morphometric measurements of the ascending aorta have been done with ECG-gated multidector computerized tomography (MDCT) to help the development of future novel transcatheter therapies (TCT); nevertheless, the variability of such measurements remains unknown. Thirty patients referred for ECG-gated CT thoracic angiography were evaluated. Continuous reformations of the ascending aorta, perpendicular to the centerline, were obtained automatically with a commercially available computer aided diagnosis (CAD). Then measurements of the maximal diameter were done with the CAD and manually by two observers (separately). Measurements were repeated one month later. The Bland-Altman method, Spearman coefficients, and a Wilcoxon signed-rank test were used to evaluate the variability, the correlation, and the differences between observers. The interobserver variability for maximal diameter between the two observers was up to 1.2 mm with limits of agreement [-1.5, +0.9] mm; whereas the intraobserver limits were [-1.2, +1.0] mm for the first observer and [-0.8, +0.8] mm for the second observer. The intraobserver CAD variability was 0.8 mm. The correlation was good between observers and the CAD (0.980-0.986); however, significant differences do exist (P<0.001). The maximum variability observed was 1.2 mm and should be considered in reports of measurements of the ascending aorta. The CAD is as reproducible as an experienced reader.

Aeon Space Fighter : Videojoc per dispositius Android

Aquest projecte consisteix en un videojoc 2D per a la plataforma de Android (Google). Es desenvolupa utilitzant la implementació nativa de OpenGL de la qual disposa aquesta plataforma. Aquest joc disposa de les funcionalitats més típiques, com pot ser portar els punts del jugador, un inici i un final, una lògica, música, mètode d'entrada de les instruccions per part del jugador, etc.

Genetic variability in a population of arbuscular mycorrhizal fungi causes variation in plant growth.

Different species of arbuscular mycorrhizal fungi (AMF) alter plant growth and affect plant coexistence and diversity. Effects of within-AMF species or within-population variation on plant growth have received less attention. High genetic variation exists within AMF populations. However, it is unknown whether genetic variation contributes to differences in plant growth. In our study, a population of AMF was cultivated under identical conditions for several generations prior to the experiments thus avoiding environmental maternal effects. We show that genetically different Glomus intraradices isolates from one AMF population significantly alter plant growth in an axenic system and in greenhouse experiments. Isolates increased or reduced plant growth meaning that plants potentially receive benefits or are subject to costs by forming associations with different individuals in the AMF population. This shows that genetic variability in AMF populations could affect host-plant fitness and should be considered in future research to understand these important soil organisms.

Variability and resistance mutations in the hepatitis C virus NS3 protease in patients not treated with protease inhibitors

The goal of treatment of chronic hepatitis C is to achieve a sustained virological response, which is defined as exhibiting undetectable hepatitis C virus (HCV) RNA levels in serum following therapy for at least six months. However, the current treatment is only effective in 50% of patients infected with HCV genotype 1, the most prevalent genotype in Brazil. Inhibitors of the serine protease non-structural protein 3 (NS3) have therefore been developed to improve the responses of HCV-infected patients. However, the emergence of drug-resistant variants has been the major obstacle to therapeutic success. The goal of this study was to evaluate the presence of resistance mutations and genetic polymorphisms in the NS3 genomic region of HCV from 37 patients infected with HCV genotype 1 had not been treated with protease inhibitors. Plasma viral RNA was used to amplify and sequence the HCV NS3 gene. The results indicate that the catalytic triad is conserved. A large number of substitutions were observed in codons 153, 40 and 91; the resistant variants T54A, T54S, V55A, R155K and A156T were also detected. This study shows that resistance mutations and genetic polymorphisms are present in the NS3 region of HCV in patients who have not been treated with protease inhibitors, data that are important in determining the efficiency of this new class of drugs in Brazil.

A shared space. [Q]uality Plan of the Andalusian Public Health System 2010 - 2014

The Quality Plan aims to create an image of the health system as an intelligent system comprised of knowledge-generating organisations integrated into a much more comprehensive paradigm in line with knowledge societies; a health system which is part of an equally intelligent and innovative society that acknowledges the use of science and technology both as a source of welfare and as a means of solving many of its problems. The aim of this document is to collate the many activities which comprise three scenarios (citizens, professionals and shared space) and establish the roadmap for the quality policy strategies designed by the Ministry of Health of the Regional Government of Andalusia for the coming years and also to open the necessary channels of communication with society so that society itself, as well as being the beneficiary of the outcomes, also becomes the main protagonist.

Uncertainty Quantification Of A Semi-Supervised Support Vector Regression Reservoir Model

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. Recent advances in machine learning offer a novel approach to model spatial distribution of petrophysical properties in complex reservoirs alternative to geostatistics. The approach is based of semisupervised learning, which handles both ?labelled? observed data and ?unlabelled? data, which have no measured value but describe prior knowledge and other relevant data in forms of manifolds in the input space where the modelled property is continuous. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic geological features and describe stochastic variability and non-uniqueness of spatial properties. On the other hand, it is able to capture and preserve key spatial dependencies such as connectivity of high permeability geo-bodies, which is often difficult in contemporary petroleum reservoir studies. Semi-supervised SVR as a data driven algorithm is designed to integrate various kind of conditioning information and learn dependences from it. The semi-supervised SVR model is able to balance signal/noise levels and control the prior belief in available data. In this work, stochastic semi-supervised SVR geomodel is integrated into Bayesian framework to quantify uncertainty of reservoir production with multiple models fitted to past dynamic observations (production history). Multiple history matched models are obtained using stochastic sampling and/or MCMC-based inference algorithms, which evaluate posterior probability distribution. Uncertainty of the model is described by posterior probability of the model parameters that represent key geological properties: spatial correlation size, continuity strength, smoothness/variability of spatial property distribution. The developed approach is illustrated with a fluvial reservoir case. The resulting probabilistic production forecasts are described by uncertainty envelopes. The paper compares the performance of the models with different combinations of unknown parameters and discusses sensitivity issues.

Multiple causes of the evolution of dispersal in metapopulations

Abstract This work investigates the outcome of the interaction of the multiple causes of selection acting on dispersal in metapopulations. Dispersal, defined here as the ability of individuals to move out of their natal population to reproduce in an other one, has three main causes. First, population variability, as caused by random population extinctions, induces high incentives to disperse through the probability to recolonize an empty population and thus to escape competition for space. This adds to the second cause, kin competition avoidance where individuals in a crowded patch will benefit from the release of competition with relatives caused by dispersal. Dispersal may thus be viewed as an altruistic act. Third, dispersal might evolve as a strategy of avoiding inbred matings which are expected to bear fitness costs due to the presence of a mutation load. The interaction of inbreeding avoidance and kin competition is explored in chapter 2. Conditions conducive to the establishment of a high relatedness within population are expected to induce high dispersal through both kin competition avoidance and inbreeding avoidance. However, the dynamics of inbreeding depression is bound to depend on the level of gene flow as well as on the deleterious mutation parameters. Mutations more prone to settle a high level of inbreeding depression will select for increased dispersal. Chapter 3 investigates the effect of the mating system on the joint dynamics of dispersal and inbreeding depression. Higher inbreeding rates as those found in various mating systems lead to a more efficient purge of the deleterious mutations. However, this decrease in the costs of inbreeding are usually accompanied by a higher within deme relatedness which balances the decreased effect of inbreeding avoidance on the evolution of dispersal. Finally, population turnover, as found in most natural populations has a dual effect on dispersal. Indeed, it increases dispersal by the increased probability of winning a breeding slot in extinct demes it creates but, on the other hand, it counter-selects for dispersal through the slow establishment of unsaturated demic conditions which contribute to lower the local competition for space. Résumé Ce travail se propose d'étudier les effets conjoints des multiples causes de l'évolution de la dispersion en métapopulation. La dispersion, définie ici comme étant la capacité de quitter sa population d'origine pour se reproduire dans une antre population, possède trois principales causes. Premièrement, l'extinction aléatoire de populations sélectionne pour plus de dispersion car elle augmente la Probabilité de recoloniser un patch éteint et donc d'échapper à la compétition locale. La seconde cause, l'évitement de la compétition de parentèle, sélectionne pour plus de dispersion par les bénéfices qu'elle apporte par diminution de la compétition entre individus apparentés. Troisièmement, la dispersion évolue "comme stratégie d'évitement de la dépression de consanguinité présente dans des petites populations isolées. L'interaction entre l'évitement de la consanguinité et de la compétition de parentèle est étudiée dans le chapitre 2. Les conditions conduisant à l'établissement d'un fort apparentement à l'intérieur des populations sont celles qui génèrent le plus de sélection pour la dispersion. Cependant, la dynamique de la dépression de consanguinité est dépendante de la dispersion entre populations ainsi que des paramètres des mutations délétères. Les mutations créant le plus de dépression de consanguinité sont celles qui sélectionneront le plus pour de la dispersion. Le chapitre 3 s'intéresse aux effets du système de reproduction sur la dynamique conjointe du fardeau de mutation et de la dispersion. La purge des mutations délétère étant plus sévère dans des conditions de forte consanguinité, elle diminue les coûts de la consanguinité mais est habituellement accompagné par une augmentation de l'apparentement et donc l'effet peut être neutre sur la dispersion. Finalement, le turnover de populations a un effet dual sur la dispersion. La dispersion est sélectionnée par l'augmentation de la probabilité de gagner une place de reproduction dans des patchs éteints mais elle est également contre sélectionnée par la désaturation des patchs causée par l'extinction et la diminution de la compétition pour l'espace qui intervient dans ce cas.

Forest fires cluster detection with space-time scan statistics

Forest fires are defined as uncontrolled fires often occurring in wildland areas, but that can also affect houses or agricultural resources. Causes are both natural (e.g.,lightning phenomena) and anthropogenic (human negligence or arsons).Major environmental factors influencing the fire ignition and propagation are climate and vegetation. Wildfires are most common and severe during drought period and on windy days. Moreover, under water-stress conditions, which occur after a long hot and dry period, the vegetation is more vulnerable to fire. These conditions are common in the United State and Canada, where forest fires represent a big problem. We focused our analysis on the state of Florida, for which a big dataset on forest fires detection is readily available. USDA Forest Service Remote Sensing Application Center, in collaboration with NASA-Goddard Space Flight Center and the University of Maryland, has compiled daily MODIS Thermal Anomalies (fires and biomass burning images) produced by NASA using a contextual algorithm that exploits the strong emission of mid-infrared radiation from fires. Fire classes were converted in GIS format: daily MODIS fire detections are provided as the centroids of the 1 kilometer pixels and compiled into daily Arc/INFO point coverage.

Reproducibility and within-day variability of body fat masurements using segmental bipolar bioelectrical impedance in women

Objective: to assess the between and within-device reproducibility, as well as within-day variability of body fat measurements. Methods: body fat percentage (%BF) was measured twice on seventeen female students aged between 18 and 20 with a body mass index of 21.9 22.6 kg/m2 (mean SD) using seven bipolar bioelectrical impedance devices (BF-306) according to the manufacturer's recommendations. Each student was also measured each hour between 7:00 and 22:00. Statistical analysis was conducted using a general linear model for repeated measurements. Results: the correlation between first and second measurements was very high (Pearson r between 0.985 and 1.000, p<0.001), as well as the correlation between devices (Pearson r between 0.986 and 0.999, all p<0.001). Repeated measurements analysis showed no differences were between devices (F test=0.83, p=0.59) or readings (first vs. second: F test=0.12, p=0.74). Conversely, significant differences were found between assessment periods throughout the day, measurements made in the morning being lower than those made in the afternoon. Assuming an overall daily average of 100 (based on all measurements), the values were 95.8 3.2 (mean SD) at 8:00 versus 101.3 3.0 at 20:00, corresponding to a mean change of 2.2 1.1 in %BF (F test for repeated values=6.58, p<0.001). Conclusions: the between and within-device reproducibility for measuring body fat is high, enabling the use of multiple devices in a single study. Conversely, small but significant changes in body fat measurements occur during the day, urging body fat measurements to be performed at fixed times.

Increased blood glucose variability during therapeutic hypothermia and neurological recovery after cardiac arrest

INTRODUCTION. Recent studies suggest that increased blood glucose variability (BGV) is associated with ICU mortality1. Hypothermia is known to induce insulin resistance, thus potentially increasing BGV. No studies however have examined the effect of therapeutic hypothermia (TH) on insulin requirements and BGV. OBJECTIVES. To examine the effect of TH on BGV and its relationship to outcome in patients with coma after cardiac arrest (CA). METHODS. We prospectively studied 132 consecutive comatose CA patients treated with TH (target core temp 33_C for 24 h, using surface cooling). All patients were treated with intravenous insulin (blood glucose target 6-8 mM), according to a written algorithm, with nurse-driven adjustment of insulin dose. For each patient, standard deviation of repeated blood glucose samples was used to calculate BGV. Two time-points, comparable in duration, were studied: TH (stable maintenance phase, i.e. 6-24 h, core temp ± 33_C) vs. Normothermia (NT, i.e. after rewarming, stable normothermic phase, core temp ± 37_C). Mortality and neurological recovery (Glasgow-Pittsburgh Cerebral Performance Categories, CPC, dichotomized as good = CPC 1-2 vs. poor = CPC 3-5) were assessed at hospital discharge. Statistical analysis was performed with ANOVA for repeated measures. RESULTS. Compared to NT, TH was associated with increased intravenous insulin dose (0.8 ± 1.1 vs. 1.6 ± 2 U/h, P\0.0001), higher mean (6.9 ± 1.3 vs. 7.7 ± 1.8 mM, P\0.0001) and maximum (9.1 ± 3.7 vs. 10.9 ± 3.6 mM, P\0.0001) blood glucose, and increased BGV (1.3 ± 1.2 vs. 1.7 ± 1.1 mM, P = 0.004). Increased BGV was strongly associated with mortality (2.5 ± 1.5 mM in non-survivors vs. 1.6 ± 1 mM in survivors, P\0.001) and worse outcome (2.3 ± 1.4 mM in patients with poor vs. 1.5 ± 0.8 mM in those with good neurological recovery, P\0.0001). CONCLUSIONS. Therapeutic hypothermia is associated with increased insulin requirements and higher blood glucose variability,which in turn correlateswithworse prognosis in patientswith post- CA coma. Strategies aimed to maintain stable glycemic profile and avoid blood glucose variability might contribute to optimize the management of TH and may translate into better outcome.