Comportements sexuels à risque, VIH/ITS et violence dans les milieux prostitutionnels de St-Marc et Gonaïves, Haïti

Les clients de TS sont considérés comme un groupe à risque de VIH et aussi agiraient comme un « pont de transmission » entre les TS et les femmes de la population générale. En dépit de leurs comportements sexuels à risque, les clients de TS ont été rarement étudiés. En conséquence, les objectifs spécifiques de cette thèse étaient : 1) estimer la prévalence du VIH, de la syphilis, du VHS-2 (virus de l’herpès simplex et 2) des facteurs de risque associés chez les clients de TS en Haïti, 2) examiner les déterminants de l’intention d’utilisation du condom, et 3) estimer la prévalence des comportements de violence et ses conséquences. Pour ce faire, une enquête transversale a été effectuée en 2006 auprès de 378 clients fréquentant les milieux de prostitution de St-Marc et de Gonaïves, en Haïti. Un questionnaire structuré ainsi que des échantillons de sang séché sur papier filtre ont été utilisés pour la collecte de données comportementales et biologiques. Notre premier article a montré une prévalence élevée du VIH et des ITS chez les clients. Ces hommes avaient plusieurs partenaires sexuelles avec lesquelles l’utilisation du condom variait. Les clients qui avaient déjà consommé de la marijuana, pratiquaient le vaudou, avaient des antécédents d’ITS ou étaient infectés par le VHS-2, avaient plus de chances d’être positifs au VIH. Le fait d’habiter Gonaïves, de ne pas être protestant, d’être employé et d’avoir déjà essayé la marijuana était associé à l’infection à la syphilis. Tandis que les clients plus vieux, ceux résidants à Gonaïves ainsi que ceux pratiquant le vaudou étaient plus souvent infectés par le VHS-2. Dans notre second article, nous avons démontré que les normes subjectives, le contrôle comportemental perçu et les attitudes étaient des déterminants importants de l’intention d’utilisation du condom. Les clients qui avaient des antécédents d’ITS ou avaient utilisé le condom lors de la dernière relation sexuelle avec la TS étaient aussi plus susceptibles d’avoir l’intention d’en faire usage dans le futur. Les résultats du dernier article ont montré que la prévalence des comportements de violence envers les partenaires intimes était élevée. De plus, la violence émotionnelle et physique était associée à l’utilisation inconstante du condom avec les différentes partenaires sexuelles. En conclusion, cette étude suggère que les clients de TS agiraient comme un pont de transmission facilitant la propagation du VIH/ITS dans la population générale en Haïti et que la violence semblerait également jouer un rôle dans la transmission de ces infections. Nos résultats soulignent le besoin d’interventions en prévention du VIH et des ITS ciblant cette population vulnérable, incluant la problématique de la violence.

Analyse systématique de la relation entre l’exposition prénatale aux biphényles polychlorés et les effets neurodéveloppementaux et thyroïdiens chez l’enfant

Les biphényles polychlorés (BPC) sont des contaminants de l’environnement, omniprésents dans la chaîne alimentaire, qui ont une propension à la bioaccumulation dans le corps humain. Ils traversent la barrière placentaire et sont suspectés d’induire des altérations du développement mental ou moteur chez des enfants exposés aux BPC pendant la vie intrautérine. Ces effets s’expliqueraient notamment par la capacité des BPC à perturber l’homéostasie de la fonction thyroïdienne chez la femme enceinte ou le nouveau-né. Malgré le nombre considérable d’études épidémiologiques réalisées, la relation entre l’exposition prénatale aux BPC et les altérations du développement mental et moteur ou de la fonction thyroïdienne n’a pas encore été clairement établie ; d’une part, différents bioindicateurs de l’exposition ont été employés (différents congénères de BPC mesurés et différentes matrices biologiques ou unités de mesure) limitant la comparaison directe entre les études et, d’autre part, le lien de causalité entre les BPC et les effets ciblés n’a pas été vérifié avec des critères épidémiologiques reconnus. Cette étude a été réalisée afin d’analyser la relation « concentration biologique de BPC – effet » entre l'exposition aux BPC de la mère pendant la grossesse et le développement mental et moteur de l’enfant ainsi que les paramètres de la fonction thyroïdienne chez la femme enceinte et le nouveau-né à partir d’une analyse systématique des études épidémiologiques disponibles en standardisant les données biologiques entre les études. Sur la base de considérations toxicocinétiques et en appliquant des facteurs de conversion établis à partir de la littérature épidémiologique publiée, les concentrations des BPC rapportées dans les différentes études revues ont été standardisées en termes d’équivalent de BPC totaux par kilogramme de lipides dans le plasma maternel (µg PCBMPEQ/kg de lipides). Afin d’analyser la possibilité d’une association causale entre l’exposition aux BPC et les effets d’intérêt, les critères de Hill ont été appliqués systématiquement à l’ensemble des associations « concentrations biologiques standardisées – effet ciblés ». En appliquant cette approche aux données publiées de 20 études épidémiologiques sur la relation entre les BPC et le poids à la naissance, l’exposition prénatale aux BPC, aux niveaux décrits (moyenne < 1920 µg PCBMPEQ/kg de lipides), n’apparaît pas associée de manière significative à un poids à la naissance inférieur à 2500 g dans les populations étudiées. Par ailleurs, en considérant des études menées sur le suivi de neuf cohortes d’enfants, la probabilité qu’une altération cognitive ou motrice cliniquement significative, qui persiste entre la naissance et l’âge scolaire, soit observée à des concentrations de BPC totaux inférieures à 1000 µg PCBMPEQ/kg de lipides semble faible. Aussi, à partir de l’analyse systématique des données de 17 études épidémiologiques, l’exposition aux BPC aux niveaux standardisés décrits (moyenne < 1000 µg PCBMPEQ/kg de lipides) ne semble pas induire de variation des hormones thyroïdiennes ou de TSH en dehors des intervalles physiologiques reconnus chez la femme enceinte et le nouveau-né. Ainsi, la valeur biologique de référence établie à 1000 µg PCBMPEQ/kg de lipides pour prévenir les effets sur le développement devrait aussi prévenir les effets sur le poids à la naissance et la fonction thyroïdienne chez la femme enceinte ou le nouveau-né. Les résultats présentés dans cette thèse fournissent aux autorités de santé publique responsables de l’établissement de directives et des normes de l’information utile à la révision des critères sanitaires visant à protéger des effets des BPC sur le développement de l’enfant et la fonction thyroïdienne chez la femme enceinte et le nouveau-né.

Étude d’impact : comparaison et analyse des données anthropométriques et biologiques d’enfants d’âge scolaire au Burkina Faso

L’ Initiative des Écoles Amies de la Nutrition (IEAN) est une initiative développée par l'Organisation Mondiale de la Santé (OMS) en 2006 pour contrer le Double Fardeau Nutritionnel (DFN). TRANSNUT est une équipe de professeurs de l’Université de Montréal et Centre collaborateur OMS sur la transition nutritionnelle et le développement. En 2009, il a participé à une étude de base au Burkina Faso, qui a recueilli des données anthropométriques et biologiques des élèves du cours moyen. Cinq ans plus tard, en 2014, de nouvelles données anthropométriques et biologiques ont été recueillies dans les mêmes écoles mais non chez les mêmes élèves. Le but de cette étude est d'analyser les données de 2014 et de comparer les résultats avec ceux de 2009, afin d'évaluer l'impact et l’efficacité de l'initiative. C’est une étude transversale menée dans 12 écoles à Ouagadougou, la capitale du Burkina Faso. Six écoles «intervention» et six écoles «témoin» ont été sélectionnées, en tenant compte de la nature des écoles (privées/publiques) et de leurs zones géographiques (urbaines/périurbaines). L'échantillon total comprenait 651 écoliers (54,7% de filles) âgés de 8 à 14 ans. Des mesures anthropométriques et de la concentration d'hémoglobine ont été effectuées sur tous les enfants, alors que le rétinol sérique a été mesuré dans un sous-échantillon aléatoire de 184 enfants. Le test de t et du Khi Carré ont été utilisés pour la comparaison des moyennes et des proportions. L'âge moyen des enfants était de 11,4 ± 1,1 ans. Les taux d'anémie et de déficience en vitamine A (DVA) étaient respectivement de 35,6% et 26,1%. La prévalence du retard de croissance était de 8,1% et celle de la maigreur, de 8,4%. Chez les filles, 2,8% étaient en surpoids contre 0,9% des garçons (p = 0,036). Moins d'élèves étaient maigres en 2014 (7,2%) par rapport à 2009 (13,7%), et ce résultat était significatif avec p < 0,001. En outre, les carences en micronutriments ont été moins présentes dans les écoles en 2014 par rapport à 2009 (p = 0,007 pour l'anémie, p = 0,044 pour la DVA). Nos résultats ont confirmé une grande amélioration du statut nutritionnel des enfants d’âge scolaire à Ouagadougou. Toutefois, il n’est pas possible présentement d’évaluer jusqu'à quelle mesure l’IEAN a été impliquée dans ces changements, ni d’attribuer ces améliorations à cette initiative uniquement. Les recherches futures doivent être axées sur des études longitudinales pour évaluer de manière plus précise la croissance des mêmes élèves qui font partie des écoles « amies de la nutrition ».

Studies On The Biology Of The Clam Sunetta Scripta (Linne), From The Subtidal Waters Of Cochin

Enhancement and culture of bivalves presents an opportunity to maximise and even increase production of many growing areas. Clam culture is less intensive both for capital and labour, involves simple farming and management techniques and is considered an efficient means of protein production. Clams are efficient converters of primary production and growth rate is fast with maximum production in 5-6 months. with culture, production is less influenced by poor recruitment. Stable production facilitates market development. Rivalves are being increasingly used in bio-medical research. Culture practices would ensure uninterrupted supplies of experimental material. Paucity of biological data restricts the development of efficient management and culture techniques of bivalves. This study was undertaken with a view to provide information on some aspects of biology of the bivalve S_. scripta which have hitherto been uninvestigated.

Modeling Habitat Associations for the Common Loon (Gavia immer) at Multiple Scales in Northeastern North America

Common Loon (Gavia immer) is considered an emblematic and ecologically important example of aquatic-dependent wildlife in North America. The northern breeding range of Common Loon has contracted over the last century as a result of habitat degradation from human disturbance and lakeshore development. We focused on the state of New Hampshire, USA, where a long-term monitoring program conducted by the Loon Preservation Committee has been collecting biological data on Common Loon since 1976. The Common Loon population in New Hampshire is distributed throughout the state across a wide range of lake-specific habitats, water quality conditions, and levels of human disturbance. We used a multiscale approach to evaluate the association of Common Loon and breeding habitat within three natural physiographic ecoregions of New Hampshire. These multiple scales reflect Common Loon-specific extents such as territories, home ranges, and lake-landscape influences. We developed ecoregional multiscale models and compared them to single-scale models to evaluate model performance in distinguishing Common Loon breeding habitat. Based on information-theoretic criteria, there is empirical support for both multiscale and single-scale models across all three ecoregions, warranting a model-averaging approach. Our results suggest that the Common Loon responds to both ecological and anthropogenic factors at multiple scales when selecting breeding sites. These multiscale models can be used to identify and prioritize the conservation of preferred nesting habitat for Common Loon populations.

Periodic Reordering

For many networks in nature, science and technology, it is possible to order the nodes so that most links are short-range, connecting near-neighbours, and relatively few long-range links, or shortcuts, are present. Given a network as a set of observed links (interactions), the task of finding an ordering of the nodes that reveals such a range-dependent structure is closely related to some sparse matrix reordering problems arising in scientific computation. The spectral, or Fiedler vector, approach for sparse matrix reordering has successfully been applied to biological data sets, revealing useful structures and subpatterns. In this work we argue that a periodic analogue of the standard reordering task is also highly relevant. Here, rather than encouraging nonzeros only to lie close to the diagonal of a suitably ordered adjacency matrix, we also allow them to inhabit the off-diagonal corners. Indeed, for the classic small-world model of Watts & Strogatz (1998, Collective dynamics of ‘small-world’ networks. Nature, 393, 440–442) this type of periodic structure is inherent. We therefore devise and test a new spectral algorithm for periodic reordering. By generalizing the range-dependent random graph class of Grindrod (2002, Range-dependent random graphs and their application to modeling large small-world proteome datasets. Phys. Rev. E, 66, 066702-1–066702-7) to the periodic case, we can also construct a computable likelihood ratio that suggests whether a given network is inherently linear or periodic. Tests on synthetic data show that the new algorithm can detect periodic structure, even in the presence of noise. Further experiments on real biological data sets then show that some networks are better regarded as periodic than linear. Hence, we find both qualitative (reordered networks plots) and quantitative (likelihood ratios) evidence of periodicity in biological networks.

Untangling associations between chironomid taxa in Neotropical streams using local and landscape filters

1. Analyses of species association have major implications for selecting indicators for freshwater biomonitoring and conservation, because they allow for the elimination of redundant information and focus on taxa that can be easily handled and identified. These analyses are particularly relevant in the debate about using speciose groups (such as the Chironomidae) as indicators in the tropics, because they require difficult and time-consuming analysis, and their responses to environmental gradients, including anthropogenic stressors, are poorly known. 2. Our objective was to show whether chironomid assemblages in Neotropical streams include clear associations of taxa and, if so, how well these associations could be explained by a set of models containing information from different spatial scales. For this, we formulated a priori models that allowed for the influence of local, landscape and spatial factors on chironomid taxon associations (CTA). These models represented biological hypotheses capable of explaining associations between chironomid taxa. For instance, CTA could be best explained by local variables (e.g. pH, conductivity and water temperature) or by processes acting at wider landscape scales (e.g. percentage of forest cover). 3. Biological data were taken from 61 streams in Southeastern Brazil, 47 of which were in well-preserved regions, and 14 of which drained areas severely affected by anthropogenic activities. We adopted a model selection procedure using Akaike`s information criterion to determine the most parsimonious models for explaining CTA. 4. Applying Kendall`s coefficient of concordance, seven genera (Tanytarsus/Caladomyia, Ablabesmyia, Parametriocnemus, Pentaneura, Nanocladius, Polypedilum and Rheotanytarsus) were identified as associated taxa. The best-supported model explained 42.6% of the total variance in the abundance of associated taxa. This model combined local and landscape environmental filters and spatial variables (which were derived from eigenfunction analysis). However, the model with local filters and spatial variables also had a good chance of being selected as the best model. 5. Standardised partial regression coefficients of local and landscape filters, including spatial variables, derived from model averaging allowed an estimation of which variables were best correlated with the abundance of associated taxa. In general, the abundance of the associated genera tended to be lower in streams characterised by a high percentage of forest cover (landscape scale), lower proportion of muddy substrata and high values of pH and conductivity (local scale). 6. Overall, our main result adds to the increasing number of studies that have indicated the importance of local and landscape variables, as well as the spatial relationships among sampling sites, for explaining aquatic insect community patterns in streams. Furthermore, our findings open new possibilities for the elimination of redundant data in the assessment of anthropogenic impacts on tropical streams.

Inferring Contagion in Regulatory Networks

Several gene regulatory network models containing concepts of directionality at the edges have been proposed. However, only a few reports have an interpretable definition of directionality. Here, differently from the standard causality concept defined by Pearl, we introduce the concept of contagion in order to infer directionality at the edges, i.e., asymmetries in gene expression dependences of regulatory networks. Moreover, we present a bootstrap algorithm in order to test the contagion concept. This technique was applied in simulated data and, also, in an actual large sample of biological data. Literature review has confirmed some genes identified by contagion as actually belonging to the TP53 pathway.

Enhancing the effectiveness of clustering with spectra analysis

For many clustering algorithms, such as K-Means, EM, and CLOPE, there is usually a requirement to set some parameters. Often, these parameters directly or indirectly control the number of clusters, that is, k, to return. In the presence of different data characteristics and analysis contexts, it is often difficult for the user to estimate the number of clusters in the data set. This is especially true in text collections such as Web documents, images, or biological data. In an effort to improve the effectiveness of clustering, we seek the answer to a fundamental question: How can we effectively estimate the number of clusters in a given data set? We propose an efficient method based on spectra analysis of eigenvalues (not eigenvectors) of the data set as the solution to the above. We first present the relationship between a data set and its underlying spectra with theoretical and experimental results. We then show how our method is capable of suggesting a range of k that is well suited to different analysis contexts. Finally, we conclude with further  empirical results to show how the answer to this fundamental question enhances the clustering process for large text collections.

A matrix-based model for web page community construction and more

The rapid development of network technologies has made the web a huge information source with its own characteristics. In most cases, traditional database-based technologies are no longer suitable for web information processing and management. For effectively processing and managing web information, it is necessary to reveal intrinsic relationships/structures among concerned web information objects such as web pages. In this work, a set of web pages that have their intrinsic relationships is called a web page community. This paper proposes a matrix-based model to describe relationships among concerned web pages. Based on this model, intrinsic relationships among pages could be revealed, and in turn a web page community could be constructed. The issues that are related to the application of the model are deeply investigated and studied. The concepts of community and intrinsic relationships, as well as the proposed matrix-based model, are then extended to other application areas such as biological data processing. Some application cases of the model in a broad range of areas are presented, demonstrating the potentials of this matrix-based model.

A spectroscopy of texts for effective clustering

For many clustering algorithms, such as k-means, EM, and CLOPE, there is usually a requirement to set some parameters. Often, these parameters directly or indirectly control the number of clusters to return. In the presence of different data characteristics and analysis contexts, it is often difficult for the user to estimate the number of clusters in the data set. This is especially true in text collections such as Web documents, images or biological data. The fundamental question this paper addresses is: ldquoHow can we effectively estimate the natural number of clusters in a given text collection?rdquo. We propose to use spectral analysis, which analyzes the eigenvalues (not eigenvectors) of the collection, as the solution to the above. We first present the relationship between a text collection and its underlying spectra. We then show how the answer to this question enhances the clustering process. Finally, we conclude with empirical results and related work.

An illustration of variable precision rough set theory : The gender classification of the European barn swallow (Hirundo rustica)

This paper introduces a new technique in the investigation of object classification and illustrates the potential use of this technique for the analysis of a range of biological data, using avian morphometric data as an example. The nascent variable precision rough sets (VPRS) model is introduced and compared with the decision tree method ID3 (through a ‘leave n out’ approach), using the same dataset of morphometric measures of European barn swallows (Hirundo rustica) and assessing the accuracy of gender classification based on these measures. The results demonstrate that the VPRS model, allied with the use of a modern method of discretization of data, is comparable with the more traditional non-parametric ID3 decision tree method. We show that, particularly in small samples, the VPRS model can improve classification and to a lesser extent prediction aspects over ID3. Furthermore, through the ‘leave n out’ approach, some indication can be produced of the relative importance of the different morphometric measures used in this problem. In this case we suggest that VPRS has advantages over ID3, as it intelligently uses more of the morphometric data available for the data classification, whilst placing less emphasis on variables with low reliability. In biological terms, the results suggest that the gender of swallows can be determined with reasonable accuracy from morphometric data and highlight the most important variables in this process. We suggest that both analysis techniques are potentially useful for the analysis of a range of different types of biological datasets, and that VPRS in particular has potential for application to a range of biological circumstances.

Object classification under ignorance using CaRBS : the case of the European barn swallow

This article investigates the potential of a novel technique for object classification, called Classification and Ranking Belief Simplex (CaRBS), which is based on the Dempster-Shafer theory of evidence. As such, the classification of objects and the evidence from their characteristics have a level of ignorance associated with them. Its potential is exposited in the application of the classification of European barn swallows according to their gender. The classification of biological data in the presence of ignorance about such data sets is a common problem in biology. Comparisons of the results from CaRBS with those from multivariate discriminant analysis and neural networks are made. Also shown throughout the investigation is the interpretability of the results with the utilisation of the simplex plot method of representing data

Changing philosophies and tools for statistical inferences in behavioral ecology

Recent developments in ecological statistics have reached behavioral ecology, and an increasing number of studies now apply analytical tools that incorporate alternatives to the conventional null hypothesis testing based on significance levels. However, these approaches continue to receive mixed support in our field. Because our statistical choices can influence research design and the interpretation of data, there is a compelling case for reaching consensus on statistical philosophy and practice. Here, we provide a brief overview of the recently proposed approaches and open an online forum for future discussion (https://bestat.ecoinformatics.org/). From the perspective of practicing behavioral ecologists relying on either correlative or experimental data, we review the most relevant features of information theoretic approaches, Bayesian inference, and effect size statistics. We also discuss concerns about data quality, missing data, and repeatability. We emphasize the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data. Furthermore, we point to the importance of integrating previous knowledge in the current analysis, for which novel approaches offer a variety of tools. We note, however, that the drawbacks and benefits of these approaches have yet to be carefully examined in association with behavioral data. Therefore, we encourage a philosophical change in the interpretation of statistical outcomes, whereas we still retain a pluralistic perspective for making objective statistical choices given the uncertainties around different approaches in behavioral ecology. We provide recommendations on how these concepts could be made apparent in the presentation of statistical outputs in scientific papers.

Macroscopic description of teeth of Azara's agouti (Dasyprocta azarae)

Os dentes de cutias (Dasyprocta azarae) foram descritos macroscopicamente para fornecer informações sobre um dos maiores roedores das Américas. Radiografias foram realizadas em seis cabeças, e os dentes foram descritos. O esmalte envolve a dentina coronal e se projeta até a raiz e é presente como lâminas dispostas paralelamente em direção vestíbulolingual. A dentina é localizada entre as lâminas do esmalte e envolve os cornos pulpares. O cemento é localizado internamente às lâminas de esmalte. Na superfície lingual, o cemento e a dentina são os elementos mais externos.