928 resultados para Residual-based tests


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Ma thèse est composée de trois essais sur l'inférence par le bootstrap à la fois dans les modèles de données de panel et les modèles à grands nombres de variables instrumentales #VI# dont un grand nombre peut être faible. La théorie asymptotique n'étant pas toujours une bonne approximation de la distribution d'échantillonnage des estimateurs et statistiques de tests, je considère le bootstrap comme une alternative. Ces essais tentent d'étudier la validité asymptotique des procédures bootstrap existantes et quand invalides, proposent de nouvelles méthodes bootstrap valides. Le premier chapitre #co-écrit avec Sílvia Gonçalves# étudie la validité du bootstrap pour l'inférence dans un modèle de panel de données linéaire, dynamique et stationnaire à effets fixes. Nous considérons trois méthodes bootstrap: le recursive-design bootstrap, le fixed-design bootstrap et le pairs bootstrap. Ces méthodes sont des généralisations naturelles au contexte des panels des méthodes bootstrap considérées par Gonçalves et Kilian #2004# dans les modèles autorégressifs en séries temporelles. Nous montrons que l'estimateur MCO obtenu par le recursive-design bootstrap contient un terme intégré qui imite le biais de l'estimateur original. Ceci est en contraste avec le fixed-design bootstrap et le pairs bootstrap dont les distributions sont incorrectement centrées à zéro. Cependant, le recursive-design bootstrap et le pairs bootstrap sont asymptotiquement valides quand ils sont appliqués à l'estimateur corrigé du biais, contrairement au fixed-design bootstrap. Dans les simulations, le recursive-design bootstrap est la méthode qui produit les meilleurs résultats. Le deuxième chapitre étend les résultats du pairs bootstrap aux modèles de panel non linéaires dynamiques avec des effets fixes. Ces modèles sont souvent estimés par l'estimateur du maximum de vraisemblance #EMV# qui souffre également d'un biais. Récemment, Dhaene et Johmans #2014# ont proposé la méthode d'estimation split-jackknife. Bien que ces estimateurs ont des approximations asymptotiques normales centrées sur le vrai paramètre, de sérieuses distorsions demeurent à échantillons finis. Dhaene et Johmans #2014# ont proposé le pairs bootstrap comme alternative dans ce contexte sans aucune justification théorique. Pour combler cette lacune, je montre que cette méthode est asymptotiquement valide lorsqu'elle est utilisée pour estimer la distribution de l'estimateur split-jackknife bien qu'incapable d'estimer la distribution de l'EMV. Des simulations Monte Carlo montrent que les intervalles de confiance bootstrap basés sur l'estimateur split-jackknife aident grandement à réduire les distorsions liées à l'approximation normale en échantillons finis. En outre, j'applique cette méthode bootstrap à un modèle de participation des femmes au marché du travail pour construire des intervalles de confiance valides. Dans le dernier chapitre #co-écrit avec Wenjie Wang#, nous étudions la validité asymptotique des procédures bootstrap pour les modèles à grands nombres de variables instrumentales #VI# dont un grand nombre peu être faible. Nous montrons analytiquement qu'un bootstrap standard basé sur les résidus et le bootstrap restreint et efficace #RE# de Davidson et MacKinnon #2008, 2010, 2014# ne peuvent pas estimer la distribution limite de l'estimateur du maximum de vraisemblance à information limitée #EMVIL#. La raison principale est qu'ils ne parviennent pas à bien imiter le paramètre qui caractérise l'intensité de l'identification dans l'échantillon. Par conséquent, nous proposons une méthode bootstrap modifiée qui estime de facon convergente cette distribution limite. Nos simulations montrent que la méthode bootstrap modifiée réduit considérablement les distorsions des tests asymptotiques de type Wald #$t$# dans les échantillons finis, en particulier lorsque le degré d'endogénéité est élevé.

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El documento examina el efecto de filtros de ajuste en el tamaño y poder de prueba de cointegración que usan los residuales como pruebas ADF y PP, mediante procedimientos MonteCarlo y una aplicación empírica. Nuestros resultados indican que el uso de filtros distorsiona el tamaño y reduce el poder de estas pruebas.

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Research shows that poor indoor air quality (IAQ) in school buildings can cause a reduction in the students’ performance assessed by short-term computer-based tests; whereas good air quality in classrooms can enhance children's concentration and also teachers’ productivity. Investigation of air quality in classrooms helps us to characterise pollutant levels and implement corrective measures. Outdoor pollution, ventilation equipment, furnishings, and human activities affect IAQ. In school classrooms, the occupancy density is high (1.8–2.4 m2/person) compared to offices (10 m2/person). Ventilation systems expend energy and there is a trend to save energy by reducing ventilation rates. We need to establish the minimum acceptable level of fresh air required for the health of the occupants. This paper describes a project, which will aim to investigate the effect of IAQ and ventilation rates on pupils’ performance and health using psychological tests. The aim is to recommend suitable ventilation rates for classrooms and examine the suitability of the air quality guidelines for classrooms. The air quality, ventilation rates and pupils’ performance in classrooms will be evaluated in parallel measurements. In addition, Visual Analogue Scales will be used to assess subjective perception of the classroom environment and SBS symptoms. Pupil performance will be measured with Computerised Assessment Tests (CAT), and Pen and Paper Performance Tasks while physical parameters of the classroom environment will be recorded using an advanced data logging system. A total number of 20 primary schools in the Reading area are expected to participate in the present investigation, and the pupils participating in this study will be within the age group of 9–11 years. On completion of the project, based on the overall data recommendations for suitable ventilation rates for schools will be formulated.

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Likelihood ratio tests can be substantially size distorted in small- and moderate-sized samples. In this paper, we apply Skovgaard`s [Skovgaard, I.M., 2001. Likelihood asymptotics. Scandinavian journal of Statistics 28, 3-321] adjusted likelihood ratio statistic to exponential family nonlinear models. We show that the adjustment term has a simple compact form that can be easily implemented from standard statistical software. The adjusted statistic is approximately distributed as X(2) with high degree of accuracy. It is applicable in wide generality since it allows both the parameter of interest and the nuisance parameter to be vector-valued. Unlike the modified profile likelihood ratio statistic obtained from Cox and Reid [Cox, D.R., Reid, N., 1987. Parameter orthogonality and approximate conditional inference. journal of the Royal Statistical Society B49, 1-39], the adjusted statistic proposed here does not require an orthogonal parameterization. Numerical comparison of likelihood-based tests of varying dispersion favors the test we propose and a Bartlett-corrected version of the modified profile likelihood ratio test recently obtained by Cysneiros and Ferrari [Cysneiros, A.H.M.A., Ferrari, S.L.P., 2006. An improved likelihood ratio test for varying dispersion in exponential family nonlinear models. Statistics and Probability Letters 76 (3), 255-265]. (C) 2008 Elsevier B.V. All rights reserved.

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This thesis consists of four manuscripts in the area of nonlinear time series econometrics on topics of testing, modeling and forecasting nonlinear common features. The aim of this thesis is to develop new econometric contributions for hypothesis testing and forecasting in these area. Both stationary and nonstationary time series are concerned. A definition of common features is proposed in an appropriate way to each class. Based on the definition, a vector nonlinear time series model with common features is set up for testing for common features. The proposed models are available for forecasting as well after being well specified. The first paper addresses a testing procedure on nonstationary time series. A class of nonlinear cointegration, smooth-transition (ST) cointegration, is examined. The ST cointegration nests the previously developed linear and threshold cointegration. An Ftypetest for examining the ST cointegration is derived when stationary transition variables are imposed rather than nonstationary variables. Later ones drive the test standard, while the former ones make the test nonstandard. This has important implications for empirical work. It is crucial to distinguish between the cases with stationary and nonstationary transition variables so that the correct test can be used. The second and the fourth papers develop testing approaches for stationary time series. In particular, the vector ST autoregressive (VSTAR) model is extended to allow for common nonlinear features (CNFs). These two papers propose a modeling procedure and derive tests for the presence of CNFs. Including model specification using the testing contributions above, the third paper considers forecasting with vector nonlinear time series models and extends the procedures available for univariate nonlinear models. The VSTAR model with CNFs and the ST cointegration model in the previous papers are exemplified in detail,and thereafter illustrated within two corresponding macroeconomic data sets.

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Aggressive periodontitis is characterized by a rapid and severe periodontal destruction in young systemically healthy subjects. A greater prevalence is reported in Africans and African descendent groups than in Caucasians and Hispanics. We first fine mapped the interval 1q24.2 to 1q31.3 suggested as containing an aggressive periodontitis locus. Three hundred and eighty-nine subjects from 55 pedigrees were studied. Saliva samples were collected from all subjects, and DNA was extracted. Twenty-one single nucleotide polymorphisms were selected and analyzed by standard polymerase chain reaction using TaqMan chemistry. Non-parametric linkage and transmission distortion analyses were performed. Although linkage results were negative, statistically significant association between two markers, rs1935881 and rs1342913, in the FAM5C gene and aggressive periodontitis (p = 0.03) was found. Haplotype analysis showed an association between aggressive periodontitis and the haplotype A-G (rs1935881-rs1342913; p = 0.009). Sequence analysis of FAM5C coding regions did not disclose any mutations, but two variants in conserved intronic regions of FAM5C, rs57694932 and rs10494634, were found. However, these two variants are not associated with aggressive periodontitis. Secondly, we investigated the pattern of FAM5C expression in aggressive periodontitis lesions and its possible correlations with inflammatory/immunological factors and pathogens commonly associated with periodontal diseases. FAM5C mRNA expression was significantly higher in diseased versus healthy sites, and was found to be correlated to the IL-1 beta, IL-17A, IL-4 and RANKL mRNA levels. No correlations were found between FAM5C levels and the presence and load of red complex periodontopathogens or Aggregatibacter actinomycetemcomitans. This study provides evidence that FAM5C contributes to aggressive periodontitis.

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A central tenet of life-history theory is the presence of a trade-off between the size and number of offspring that a female can produce for a given clutch. A crucial assumption of this trade-off is that larger offspring perform better than smaller offspring. Despite the importance of this assumption empirical, field-based tests are rare, especially for marine organisms. We tested this assumption for the marine invertebrate, Diplosoma listerianum, a colonial ascidian that commonly occurs in temperate marine communities. Colonies that came from larger larvae had larger feeding structures than colonies that came from smaller larvae. Colonies that came from larger larvae also had higher survival and growth after 2 weeks in the field than colonies that came from smaller larvae. However, after 3 weeks in the field the colonies began to fragment and we could not detect an effect of larval size. We suggest that offspring size can have strong effects on the initial recruitment of D. listerianum but because of the tendency of this species to fragment, offspring size effects are less persistent in this species than in others.

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Theory-of-mind concepts in children with deafness, autism, and normal development (N = 154) were examined in three experiments using a set of standard inferential false-belief tasks and matched sets of tasks involving false drawings. Results of all three experiments replicated previously published findings by showing that primary school children with deafness or autism, aged 6 to 13 years, scored significantly lower than normal-developing 4-year-old preschoolers on standard misleading-container and unseen-change tests of false-belief understanding. Furthermore, deaf and autistic children generally scored higher on drawing-based tests than on corresponding standard tests and, on the most challenging of the false-drawing tests in Experiment 2, they significantly outperformed the normal-developing preschoolers by clearly understanding their own false intentions and another person's false beliefs about an actively misleading drawing. In Experiment 3, preschoolers; outperformed older deaf and autistic children on standard tasks, but did less well on a task that required the drawing of a false belief. Methodological factors could not fully explain the findings, but early social and conversational experiences in the family were deemed likely contributors.

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Admission controllers are used to prevent overload in systems with dynamically arriving tasks. Typically, these admission controllers are based on suÆcient (but not necessary) capacity bounds in order to maintain a low computational complexity. In this paper we present how exact admission-control for aperiodic tasks can be eÆciently obtained. Our rst result is an admission controller for purely aperiodic task sets where the test has the same runtime complexity as utilization-based tests. Our second result is an extension of the previous controller for a baseload of periodic tasks. The runtime complexity of this test is lower than for any known exact admission-controller. In addition to presenting our main algorithm and evaluating its performance, we also discuss some general issues concerning admission controllers and their implementation.

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BACKGROUND: Plasma free and urinary metanephrines are recognized biomarkers for the assessment of pheochromocytoma. Plasma total metanephrines with a long half-life may represent another useful biomarker. OBJECTIVE: The aim of this study is to evaluate the diagnostic performances of plasma total metanephrines alone or combined with free metanephrines and fractionated 24-h urinary metanephrines. METHODS: A retrospective, case-control diagnostic test study was conducted between 1999 and 2007 in two university hospitals in Switzerland and two institutions in France. The patients included 46 cases with histologically proven pheochromocytoma, and 181 controls suspected of tumor with negative investigations and 3-year follow-up. None had renal dysfunction. Sensitivity and specificity were compared after expressing each measurement result as a ratio over its upper reference limit, adding the ratios of normetanephrine and metanephrine, and defining cut-off values of 1 or 2 for this sum. RESULTS: Applying a cut-off value of 1, plasma free and total metanephrines and urinary fractionated metanephrines had similar sensitivities of 96% (95% confidence interval, 86-99%), 95% (85-99%), and 95% (84-99%) along with similar specificities of 89% (83-94%), 91% (84-95%), and 86% (80-91%). A cut-off of 2 for the sum of ratios over reference limit improves the specificity, and it can be used for a confirmation test based on another biomarker taken among the three biomarkers. CONCLUSION: All three metanephrine-based tests perform equivalently for diagnosing pheochromocytoma in the absence of renal insufficiency, and can be conveniently associated two by two for confirming/excluding tumor.

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OBJECTIVE: Mild neurocognitive disorders (MND) affect a subset of HIV+ patients under effective combination antiretroviral therapy (cART). In this study, we used an innovative multi-contrast magnetic resonance imaging (MRI) approach at high-field to assess the presence of micro-structural brain alterations in MND+ patients. METHODS: We enrolled 17 MND+ and 19 MND- patients with undetectable HIV-1 RNA and 19 healthy controls (HC). MRI acquisitions at 3T included: MP2RAGE for T1 relaxation times, Magnetization Transfer (MT), T2* and Susceptibility Weighted Imaging (SWI) to probe micro-structural integrity and iron deposition in the brain. Statistical analysis used permutation-based tests and correction for family-wise error rate. Multiple regression analysis was performed between MRI data and (i) neuropsychological results (ii) HIV infection characteristics. A linear discriminant analysis (LDA) based on MRI data was performed between MND+ and MND- patients and cross-validated with a leave-one-out test. RESULTS: Our data revealed loss of structural integrity and micro-oedema in MND+ compared to HC in the global white and cortical gray matter, as well as in the thalamus and basal ganglia. Multiple regression analysis showed a significant influence of sub-cortical nuclei alterations on the executive index of MND+ patients (p = 0.04 he and R(2) = 95.2). The LDA distinguished MND+ and MND- patients with a classification quality of 73% after cross-validation. CONCLUSION: Our study shows micro-structural brain tissue alterations in MND+ patients under effective therapy and suggests that multi-contrast MRI at high field is a powerful approach to discriminate between HIV+ patients on cART with and without mild neurocognitive deficits.

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The R-package “compositions”is a tool for advanced compositional analysis. Its basicfunctionality has seen some conceptual improvement, containing now some facilitiesto work with and represent ilr bases built from balances, and an elaborated subsys-tem for dealing with several kinds of irregular data: (rounded or structural) zeroes,incomplete observations and outliers. The general approach to these irregularities isbased on subcompositions: for an irregular datum, one can distinguish a “regular” sub-composition (where all parts are actually observed and the datum behaves typically)and a “problematic” subcomposition (with those unobserved, zero or rounded parts, orelse where the datum shows an erratic or atypical behaviour). Systematic classificationschemes are proposed for both outliers and missing values (including zeros) focusing onthe nature of irregularities in the datum subcomposition(s).To compute statistics with values missing at random and structural zeros, a projectionapproach is implemented: a given datum contributes to the estimation of the desiredparameters only on the subcompositon where it was observed. For data sets withvalues below the detection limit, two different approaches are provided: the well-knownimputation technique, and also the projection approach.To compute statistics in the presence of outliers, robust statistics are adapted to thecharacteristics of compositional data, based on the minimum covariance determinantapproach. The outlier classification is based on four different models of outlier occur-rence and Monte-Carlo-based tests for their characterization. Furthermore the packageprovides special plots helping to understand the nature of outliers in the dataset.Keywords: coda-dendrogram, lost values, MAR, missing data, MCD estimator,robustness, rounded zeros

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Thousands of chemical compounds enter the natural environment but many have unknown effects and consequences, in particular at low concentrations. This thesis work contributes to our understanding of pollution effects by using bacteria as test organisms. Bacteria are important for this question because some of them degrade and transform pollutants into less harmful compounds, but secondly because they themselves can be inhibited in their reproduction by exposure to toxic compounds. When inhibitory effects occur this may change the composition of the microbial com¬munity in the long run, leading to altered or diminished ecosystem services by those communities. As a result chemicals of anthropogenic origin may accumulate and per¬sist in the environment, and finally, affect higher organisms as well. In addition to acquiring basic understanding of pollutant effects at low concentrations on bacterial communities an applied goal of this thesis work was to develop bacteria-based tests to screen new organic chemicals for toxicity and biodégradation. In the first part of this work we developed a flow cytometry-based assay on SYT09 plus ethidium-bromide or propidium-iodide stained cells of Pseudomonas ûuorescens exposed or not to a variety of pollutants under oligotrophic growth conditions. Flow cytometry (FC) allows fast and accurate counting of bacterial cells under simul¬taneous assessment of their physiological state, in particular in combination with different fluorescent dyes. Here we employed FC and fluorescent dyes to monitor the effect that pollutants may exert on Pseudomonas ûuorescens SV3. First we designed an oligotrophic growth test, which enabled us to follow population growth at low densities (104 - 10 7 cells per ml) using 0.1 mM sodium acetate as carbon source. Cells in the oligotrophic milieu were then exposed or not to a variety of common pollutants, such as 2-chlorobiphenyl (2CBP), naphthalene (NAH), 4-chlorophenol (4CP), tetradecane (TD), mercury chloride (HgCl2) or benzene, in different dosages. Exposed culture samples were stained with SYT09 (green fluorescent dye binding nucleic acids, generally staining all cells) in combination with propidium iodide (PI) or ethidium bromide (EB), both dyes being membrane integrity indicators. We ob- served that most of the tested compounds decreased population growth in a dosage- dependent manner. SYT09/PI or SYT09/EB staining then revealed that chemical exposure led to arisal of subpopulations of live and injured or dead cells. By modeling population growth on the total cell numbers in population or only the subpopulation of live cells we inferred that even in stressed populations live cells multiply at rates no different to unexposed controls. The net decrease in population growth would thus be a consequence of more and more cells being not able to multiply at all, rather than all cells multiplying at slower rates. In addition, the proportion of injured cells correlated to the compound dosage. We concluded that the oligotrophic test may be useful to asses toxicity of unknown chemicals on a variety of model bacteria. Mul¬tiple tests can be run in parallel and effects are rapidly measured within a period of 8 hours. Interestingly, in the same exposure tests with P. fluorescens SV3 we observed that some chemicals which did not lead to a reduction of net population growth rates did cause measurable effects on live cells. This was mainly observed in cells within the live subpopulation as an increase of the EB fluorescence signal. We showed that SYT09/EB is a more useful combination of dyes than SYT09/PI because PI fluorescence tend to increase only when cells are effectively dead, but not so much in live cells (less then twofold). In contrast, EB geometric mean fluorescence in live cells increased up to eightfold after exposure to toxic compounds. All compounds even at the lowest concentration caused a measurable increase in EB geometric mean fluorescence especially after 2 h incubation time. This effect was found to be transient for cells exposed to 2CBP and 4CP, but chronic for cells incubated with TD and NAH (ultimately leading to cell death). In order to understand the mechanism underlying the observed effects we used known membrane or energy uncouplers. The pattern of EB signal increase in chemical-exposed populations resembled mostly that of EDTA, although EB fluorescence in EDTA-treated or pasteurized cells was even higher than after exposure to the four test chemicals. We conclude that the ability of cells to efflux EB under equilibrium conditions is an appropriate measure for the potential of a chemical to exert toxicity. Since most bacterial species possess efflux systems for EB that all require cellular energy, our test should be more widely relevant to infer toxicity effects of chemical exposure on the physiological status of the bacterial cell. To better understand the effect of toxicant exposure on efflux defense systems, we studied 2-hydroxybiphenyl toxicity to Pseudomonas azeiaica HBP1. We showed that 2-HBP exerts toxicity even to P. azelaica HBP1, but only at concentrations higher than 0.5 mM. Above this concentration transient loss of membrane polarization and integrity occurred, which we conclude from staining of growing cells with fluorescent dyes. Cells finally recover and resume growth on 2HBP. The high resistance of P. azelaica HBP1 to 2-HBP was found to be the result of an efficient MexABOprM- type efflux pump system counteracting passive influx of this compound into the membrane and cellular interior. Mutants with disrupted mexA, mexB and oprM genes did no longer grow on 2-HBP at concentrations above 100 μΜ, whereas below this concentration we found 2-HBP-concentration dependent decrease of growth rate. The MexAB-OprM system in P. azeiaica HBP1 is indeed an efflux pump for ethidium bromide as well. By introducing gfp reporter fusions responsive to intracellular 2- HBP concentrations into HBP1 wild-type or the mutants we demonstrated that 2HBP enters into the cells in a similar way. In contrast, the reporter system in the wild-type cells does not react to 2-HBP at an outside concentration of 2.4 μΜ, whereas in mutant cells it does. This suggests that wild-type cells pump 2-HBP to the outside very effectively preventing accumulation of 2-HBP. 2HBP metabolism, therefore, is not efficient enough to lower the intracellular concentration and prevent toxicity. We conclude that P. azelaica HBP1 resistance to 2-HBP is mainly due to an efficient efflux system and that 2HBP in high concentrations exerts narcotic effects on the bacterial membrane. In the part of this thesis, we investigated the possibilities of bacteria to degrade pollutants at low concentrations (1 mg per L and below). As test components we used 2-hydroxybiphenyl, antibiotics and a variety of fragrances, many of which are known to be difficult to biodegrade. By using accurate counting of low numbers of bacterial cells we could demonstrate that specific growth on these compounds is possible. We demonstrated the accuracy of FC counting at low cell numbers (down to 103 bacterial cells per ml). Then we tested whether bacterial population growth could be specifically monitored at the expense of low substrate concentrations, us¬ing P. azelaica HBP1. A perfect relationship was found between growth rate, yield and 2-HBP concentrations in the range of 0.1 up to 5 mg per L. Mixing P. azelaica within sludge, however, suggested that growth yields in a mixed community can be much lower than in pure culture, perhaps because of loss of metabolic intermediates. We then isolated new strains from activated sludge using 2-HBP or antibiotics (Nal, AMP, SMX) at low concentrations (0.1-1 mg per L) as sole carbon and energy sub¬strate and PAO microdishes. The purified strains were then examined for growth on their respective substrate, which interestingly, showed that all strains can not with¬stand higher than 1 or 10 mg per L concentrations of target substrate. Thus, bacteria must exist that contribute to compound degradation at low pollutant concentrations but are inhibited at higher concentrations. Finally we tested whether specific biomass growth (in number of cells) at the expense of pollutants can also be detected with communities as starting material. Hereto, we focused on a number of fragrance chemicals and measured community biomass increase by flow cytometry cell counting on two distinct starter communities: (i) diluted Lake Geneva water, and dilute activated sludge from a wastewater treatment plant. We observed that most of the test compounds indeed resulted in significant biomass increase in the starter community compared to a no-carbon added control, but activated sludge and lake Geneva water strongly differed (almost mutually ex¬clusive) in their capacity to degrade the test chemicals. In two cases for activated sludge the same type of microbial community developed upon compound exposure, as concluded from transcription fragment length polymorphism analysis on community purified and PCR amplified 16S rRNA gene fragments. To properly test compound biodegradability it is thus important to use starter communities of different origin. We conclude that FC counting can be a valuable tool to screen chemicals for their biodegradability and toxicity. - Des milliers de produits chimiques sont libérés dans l'environnement mais beaucoup ont des effets inconnus, en particulier à basses concentrations. Ce travail de thèse contribue à notre comprehension des effets de la pollution en utilisant des bacteries comme des organismes-tests. Les bacteries sont importantes pour etudier cette ques¬tion car certaines d'entre elles peuvent degrader ou transformer les polluants, mais également parce qu'elles-mmes peuvent tre inhibees dans leur reproduction après avoit ete exposees à ces composes toxiques. Quand des effets inhibiteurs ont lieu, la composition de la communauté microbienne peut tre changee à long terme, ce qui mène à une reduction du service d'ecosystème offert par ces communautés. En consequence, après leur liberation dans l'environnement, les produits chimiques d'origine anthropogenique peuvent soit s'y accumuler et per¬sister, exerant ainsi des effets encore inconnus sur les organismes vivants. En plus d'acquérir des connaissances de base sur les effets des polluants à basses concentra¬tions sur les communautés microbiennes, un but applique de cette thèse était de développer des tests bases sur les bacteries afin d'identifier de nouveau composes pour leur toxicité ou leur biodégradation. Dans la première partie de ce travail, nous avons developpe un test base sur la cytometrie de flux (FC) sur des cellules de Pseudomonas fluorescens colorees par du bromure d'ethidium ou de l'iodure de propidium et exposees ou non à une palette de polluants sous des conditions de croissance oligotrophique. La cytometrie de flux est une technique qui connaît de nombreuses applications dans la microbiologie environ¬nementale. Cela est principalement du au fait qu'elle permet un comptage rapide et precis ainsi que l'évaluation de l'état physiologique, en particulier lorsqu'elle est combinée h des colorations fluorescentes. Ici, nous avons utilise la technique FC et des colorants fluorescents afin de mesurer l'effet que peuvent exercer certains pollu¬ants sur Pseudomonas ûuorescens SV3 . D'abord nous avons conu des tests oligo- trophiques qui nous permettent de suivre la croissance complète de cellules en culture h des densites faibles (104 -10 7 cellules par ml), sur de l'acetate de sodium à 0.1 mM, en presence ou absence de produits chimiques (2-chlorobiphenyl (2CBP), naphthalène (NAH), 4-chlorophenol (4CP), tetradecane (TD), chlorure de mercure(II) (HgCl2)) à différentes concentrations. Afin de montrer le devenir des bacteries tant au niveau de la cellule individuelle que celui de la population globale, après exposition à des series de composes chimiques, nous avons compte les cellules colorees avec du SYT09 (col¬orant fluorescent vert des acides nucléiques pour la discrimination des cellules par rapport au bruit de fond) en combinaison avec l'iodure de propidium (PI) ou le bromure d'ethidium (EB), indicateurs de l'intégrité de la membrane cellulaire avec FC. Nous avons observe que de nombreux composes testes avaient un effet sur la croissance bacterienne, resultant en une baisse du taux de reproduction de la pop¬ulation. En outre, la double coloration que nous avons utilisee dans cette etude SYT09/PI ou SYT09/EB a montre que les produits chimiques testes induisaient une reponse heterogène des cellules dans la population, divisant celle-ci en sous- populations "saine", "endommagee" ou "morte". Les nombres de cellules à partir du comptage et de la proportion de celles "saines" et "endommagees/mortes" ont ensuite ete utilises pour modeliser la croissance de P. ûuorescens SV3 exposee aux produits chimiques. La reduction nette dans la croissance de population est une consequence du fait que de plus en plus de cellules sont incapables de se reproduire, plutt que du fait d'une croissance plus lente de l'ensemble de la population. De plus, la proportion de cellules endommagees est correllee au dosage du compose chimique. Les résultats obtenus nous ont permis de conclure que le test oligotrophique que nous avons developpe peut tre utilise pour l'évaluation de la toxicité de produits chimiques sur différents modèles bacteriens. Des tests multiples peuvent tre lances en parallèle et les effets sont mesures en l'espace de huit heures. Par ailleurs, nous en déduisons que les produits chimiques exercént un effet sur la croissance des cellules de P. ûuorescens SV3, qui est heterogène parmi les cellules dans la population et depend du produit chimique. Il est intéressant de noter que dans les mmes tests d'exposition avec P. ûuorescens SV3, nous avons observe que certains composes qui n'ont pas conduit à une reduction du taux de la croissance nette de la population, ont cause des effets mesurables sur les cellule saines. Ceci a ete essentiellement observe dans la portion "saine" des cellules en tant qu'augmentation du signal de la fluorescence de 1ΈΒ. D'abord nous avons montre que SYT09/EB était une com¬binaison de colorants plus utile que celle de SYT09/PI parce que la fluorescence du PI a tendance à augmenter uniquement lorsque les cellules sont effectivement mortes, et non pas dans les cellules saines (moins de deux fois plus). Par opposi¬tion, la fluorescence moyenne de l'EB dans les cellules saines augmente jusqu'à huit fois plus après exposition aux composes toxiques. Tous les composes, mme aux plus basses concentrations, induisent une augmentation mesurable de la fluorescence moy¬enne de 1ΈΒ, plus particulièrement après deux heures d'incubation. Cet effet s'est revele tre transitoire pour les cellules exposees aux 2CNP et 4CP, mais est chro¬nique pour les cellules incubees avec le TD et le NAH (entranant la mort cellulaire). Afin de comprendre les mécanismes qui sous-tendent les effets observes, nous avons utilise des decoupleurs d'energie ou de membrane. L'augmentation du signal EB dans les populations causee par des produits chimiques ressemblait à celle exerce par le chelateur des ions divalents EDTA. Cependant, les intensités du signal EB des cellules exposees aux produits chimiques testees n'ont jamais atteint les valeurs des cellules traitees avec l'EDTA ou pasteurises. Nous en concluons que le test oli- gotrophique utilisant la coloration (SYT09/)EB des cellules exposees ou non à un produit chimique est utile afin d'evaluer l'effet toxique exerce par les polluants sur la physiologie bacterienne. Afin de mieux comprendre la reaction d'un système de defense par pompe à efflux après exposition à une toxine, nous avons étudié la toxicité du 2-hydroxybiphenyl (2-HBP) sur Pseudomonas azeiaica HBP1. Nous avons montre que le 2-HBP exerce une toxicité mme sur HBP1, mais uniquement à des concentrations supérieures à 0.5 mM. Au-dessus de cette concentration, des pertes transitoires d'intégrité et de polarization membranaire ont lieu, comme cela nous a ete montre par coloration des cellules en croissance. Les cellules sont finalement capables de se rétablir et de reprendre leur croissance sur 2-HBP. La forte resistance de P. azeiaica HBP1 h 2-HBP physiologie bacterienne s'est revele tre le résultat d'un système de pompe h efflux de type MexABOprM qui contre-balance l'influx passif de ce compose h travers la membrane. Nous avons montre, en construisant des mutants avec des insertions dans les gènes mexA, mexB and oprM et des fusions avec le gène rapporteur gfp, que l'altération de n'importe quelle partie du système d'efflux conduisait à accroître l'accumulation de 2-HBP dans la cellule, en comparaison avec la souche sauvage HBP1, provoquant une diminution de la resistance au 2-HBP ainsi qu'une baisse du taux de reproduction des cellules. Des systèmes d'efflux similaires sont répandus chez de nombreuses espèces bactériennes. Ils seraient responsables de la resistance aux produits chimiques tels que les colorants fluorescents (bromure d'ethidium) et des antibiotiques. Nous concluons que la resistance de P. azelaica HBP1 à 2-HBP est principalement due à un système d'efflux efficace et que 2-HBP, à des concentrations elevees, exerce un effet deletère sur la membrane bacterienne. En se basant sur le comptage des cellules avec la FC, nous avons developpe ensuite une methode pour evaluer la biodegradabilite de polluants tels que le 2-HBP ainsi que les antibiotiques (acide nalidixique (Nal), ampicilline (AMP) ou sulfamethoxazole (SMX)) à de faibles concentrations lmg par L et moins), par le suivi de la croissance spécifique sur le compose de cultures microbiennes pures et mixtes. En utilisant un comptage precis de faibles quantités de cellules nous avons pu demontrer que la croissance spécifique sur ces composes est possible. Nous avons pu illustrer la precision du comptage par cytometrie de flux à faible quantité de cellules (jusqu'à 10 3 cellules par ml). Ensuite, nous avons teste s'il était possible de suivre dynamiquement la croissance de la population de cellules sur faibles concentrations de substrats, en utilisant P. azelaica HBP1. Une relation parfaite a ete trouvee entre le taux de croissance, le rendement et les concentrations de 2-HBP (entre 0.1 et 5 mg par L). En mélangeant HBP1 à de la boue active, nous avons pu montrer que le rendement en communauté mixtes pouvait tre bien inférieur qu'en culture pure. Ceci étant peut tre le résultat d'une perte d'intermédiaires métaboliques. Nous avons ensuite isole de nouvelles souches à partir de la boue active en utilisant le 2-HBP ou des antibiotiques (Nal, AMP, SMX) h basses concentrations (0.1-1 mg par L) comme seules sources de carbone et d'energie. En combinaison avec ceci, nous avons également utilise des microplaques PAO. Les souches purifiees ont ensuite ete examinees pour leurs croissances sur leurs substrats respectifs. De faon intéressante, toutes ces souches ont montre qu'elles ne pouvaient pas survivre à des concentrations de substrats supérieures à 1 ou 10 mg par L. Ainsi, il existe des bacteries qui contribuent à la degradation de composes à basses concentrations de polluant mais sont inhibes lorsque ces concentrations deviennent plus hautes. Finalement, nous avons cherche à savoir s'il est possible de detecter une croissance spécifique à une biomasse au depend d'un polluant, en partant d'une communauté microbienne. Ainsi, nous nous sommes concentre sur certains composes et avons mesure l'augmentation de la biomasse d'une communauté grce à la cytometrie de flux. Nous avons compte deux communautés de depart distinctes: (i) une dilution d'eau du Lac Léman, et une dilution de boue active d'une station d'épuration. Nous avons observe que la plupart des composes testes ont entrane une augmentation de la biomasse de depart par rapport au control sans addition de source de carbone. Néanmoins, les échantillons du lac Léman et de la station d'épuration différaient largement (s'excluant mutuellement l'un l'autre) dans leur capacité à degrader les composes chimiques. Dans deux cas provenant de la station d'épuration, le mme type de communauté microbienne s'est developpe après exposition aux composes, comme l'a démontré l'analyse TRFLP sur les fragments d'ARN 16S purifie de la communauté et amplifie par PCR. Afin de tester correctement la biodegradabilite d'un compose, il est donc important d'utiliser des communautés de depart de différentes origines Nous en concluons que le comptage par cytometrie de flux peut tre un outil de grande utilité pour mettre en valeur la biodegradabillite et la toxicité des composes chimiques.

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DnaSP is a software package for the analysis of DNA polymorphism data. Present version introduces several new modules and features which, among other options allow: (1) handling big data sets (~5 Mb per sequence); (2) conducting a large number of coalescent-based tests by Monte Carlo computer simulations; (3) extensive analyses of the genetic differentiation and gene flow among populations; (4) analysing the evolutionary pattern of preferred and unpreferred codons; (5) generating graphical outputs for an easy visualization of results. Availability: The software package, including complete documentation and examples, is freely available to academic users from: http://www.ub.es/dnasp

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Current measures of ability emotional intelligence (EI)--including the well-known Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT)--suffer from several limitations, including low discriminant validity and questionable construct and incremental validity. We show that the MSCEIT is largely predicted by personality dimensions, general intelligence, and demographics having multiple R's with the MSCEIT branches up to .66; for the general EI factor this relation was even stronger (Multiple R = .76). As concerns the factor structure of the MSCEIT, we found support for four first-order factors, which had differential relations with personality, but no support for a higher-order global EI factor. We discuss implications for employing the MSCEIT, including (a) using the single branches scores rather than the total score, (b) always controlling for personality and general intelligence to ensure unbiased parameter estimates in the EI factors, and (c) correcting for measurement error. Failure to account for these methodological aspects may severely compromise predictive validity testing. We also discuss avenues for the improvement of ability-based tests.