Higher arithmetic Chow groups

We give a new construction of higher arithmetic Chow groups for quasi-projective arithmetic varieties over a field. Our definition agrees with the higher arithmetic Chow groups defined by Goncharov for projective arithmetic varieties over a field. These groups are the analogue, in the Arakelov context, of the higher algebraic Chow groups defined by Bloch. The degree zero group agrees with the arithmetic Chow groups of Burgos. Our new construction is shown to be a contravariant functor and is endowed with a product structure, which is commutative and associative.

Interactions between learning and immunity in Drosophila melanogaster

Learning and immunity are two adaptive traits with roles in central aspects of an organism's life: learning allows adjusting behaviours in changing environments, while immunity protects the body integrity against parasites and pathogens. While we know a lot about how these two traits interact in vertebrates, the interactions between learning and immunity remain poorly explored in insects. During my PhD, I studied three possible ways in which these two traits interact in the model system Drosophila melanogaster, a model organism in the study of learning and in the study of immunity. Learning can affect the behavioural defences against parasites and pathogens through the acquisition of new aversions for contaminated food for instance. This type of learning relies on the ability to associate a food-related cue with the visceral sickness following ingestion of contaminated food. Despite its potential implication in infection prevention, the existence of pathogen avoidance learning has been rarely explored in invertebrates. In a first part of my PhD, I tested whether D. melanogaster, which feed on food enriched in microorganisms, innately avoid the orally-acquired 'novel' virulent pathogen Pseudomonas entomophila, and whether it can learn to avoid it. Although flies did not innately avoid this pathogen, they decreased their preference for contaminated food over time, suggesting the existence of a form of learning based likely on infection-induced sickness. I further found that flies may be able to learn to avoid an odorant which was previously associated with the pathogen, but this requires confirmation with additional data. If this is confirmed, this would be the first time, to my knowledge, that pathogen avoidance learning is reported in an insect. The detrimental effect of infection on cognition and more specifically on learning ability is well documented in vertebrates and in social insects. While the underlying mechanisms are described in detail in vertebrates, experimental investigations are lacking in invertebrates. In a second part of my PhD, I tested the effect of an oral infection with natural pathogens on associative learning of D. melanogaster. By contrast with previous studies in insects, I found that flies orally infected with the virulent P. entomophila learned better the association of an odorant with mechanical shock than uninfected flies. The effect seems to be specific to a gut infection, and so far I have not been able to draw conclusions on the respective contributions of the pathogen's virulence and of the flies' immune activity in this effect. Interestingly, infected flies may display an increased sensitivity to physical pain. If the learning improvement observed in infected flies was due partially to the activity of the immune system, my results would suggest the existence of physiological connections between the immune system and the nervous system. The basis of these connections would then need to be addressed. Learning and immunity are linked at the physiological level in social insects. Physiological links between traits often result from the expression of genetic links between these traits. However, in social insects, there is no evidence that learning and immunity may be involved in an evolutionary trade-off. I previously reported a positive effect of infection on learning in D. melanogaster. This might suggest that a positive genetic link could exist between learning and immunity. We tested this hypothesis with two approaches: the diallel cross design with inbred lines, and the isofemale lines design. The two approaches provided consistent results: we found no additive genetic correlation between learning and resistance to infection with the diallel cross, and no genetic correlation in flies which are not yet adapted to laboratory conditions in isofemale lines. Consistently with the literature, the two studies suggested that the positive effect of infection on learning I observed might not be reflected by a positive evolutionary link between learning and immunity. Nevertheless, the existence of complex genetic relationships between the two traits cannot be excluded. - L'apprentissage et l'immunité sont deux caractères à valeur adaptative impliqués dans des aspects centraux de la vie d'un organisme : l'apprentissage permet d'ajuster les comportements pour faire face aux changements de l'environnement, tandis que l'immunité protège l'intégrité corporelle contre les attaques des parasites et des pathogènes. Alors que les interactions entre l'apprentissage et l'immunité sont bien documentées chez les vertébrés, ces interactions ont été très peu étudiées chez les insectes. Pendant ma thèse, je me suis intéressée à trois aspects des interactions possibles entre l'apprentissage et l'immunité chez la mouche du vinaigre Drosophila melanogaster, qui est un organisme modèle dans l'étude à la fois de l'apprentissage et de l'immunité. L'apprentissage peut affecter les défenses comportementales contre les parasites et les pathogènes par l'acquisition de nouvelles aversions pour la nourriture contaminée par exemple. Ce type d'apprentissage repose sur la capacité à associer une caractéristique de la nourriture avec la maladie qui suit l'ingestion de cette nourriture. Malgré les implications potentielles pour la prévention des infections, l'évitement appris des pathogènes a été rarement étudié chez les invertébrés. Dans une première partie de ma thèse, j'ai testé si les mouches, qui se nourrissent sur des milieux enrichis en micro-organismes, évitent de façon innée un 'nouveau' pathogène virulent Pseudomonas entomophila, et si elles ont la capacité d'apprendre à l'éviter. Bien que les mouches ne montrent pas d'évitement inné pour ce pathogène, elles diminuent leur préférence pour de la nourriture contaminée dans le temps, suggérant l'existence d'une forme d'apprentissage basée vraisemblablement sur la maladie générée par l'infection. J'ai ensuite observé que les mouches semblent être capables d'apprendre à éviter une odeur qui était au préalable associée avec ce pathogène, mais cela reste à confirmer par la collecte de données supplémentaires. Si cette observation est confirmée, cela sera la première fois, à ma connaissance, que l'évitement appris des pathogènes est décrit chez un insecte. L'effet détrimental des infections sur la cognition et plus particulièrement sur les capacités d'apprentissage est bien documenté chez les vertébrés et les insectes sociaux. Alors que les mécanismes sous-jacents sont détaillés chez les vertébrés, des études expérimentales font défaut chez les insectes. Dans une seconde partie de ma thèse, j'ai mesuré les effets d'une infection orale par des pathogènes naturels sur les capacités d'apprentissage associatif de la drosophile. Contrairement aux études précédentes chez les insectes, j'ai trouvé que les mouches infectées par le pathogène virulent P. entomophila apprennent mieux à associer une odeur avec des chocs mécaniques que des mouches non infectées. Cet effet semble spécifique à l'infection orale, et jusqu'à présent je n'ai pas pu conclure sur les contributions respectives de la virulence du pathogène et de l'activité immunitaire des mouches dans cet effet. De façon intéressante, les mouches infectées pourraient montrer une plus grande réactivité à la douleur physique. Si l'amélioration de l'apprentissage observée chez les mouches infectées était due en partie à l'activité du système immunitaire, mes résultats suggéreraient l'existence de connections physiologiques entre le système immunitaire et le système nerveux. Les mécanismes de ces connections seraient à explorer. L'apprentissage et l'immunité sont liés sur un plan physiologique chez les insectes sociaux. Les liens physiologiques entre les caractères résultent souvent de l'expression de liens entre ces caractères au niveau génétique. Cependant, chez les insectes sociaux, il n'y a pas de preuve que l'apprentissage et l'immunité soient liés par un compromis évolutif. J'ai précédemment rapporté un effet positif de l'infection sur l'apprentissage chez la drosophile. Cela pourrait suggérer qu'une relation génétique positive existerait entre l'apprentissage et l'immunité. Nous avons testé cette hypothèse par deux approches : le croisement diallèle avec des lignées consanguines, et les lignées isofemelles. Les deux approches ont fournies des résultats similaires : nous n'avons pas détecté de corrélation génétique additive entre l'apprentissage et la résistance à l'infection avec le croisement diallèle, et pas de corrélation génétique chez des mouches non adaptées aux conditions de laboratoire avec les lignées isofemelles. En ligne avec la littérature, ces deux études suggèrent que l'effet positif de l'infection sur l'apprentissage que j'ai précédemment observé ne refléterait pas un lien évolutif positif entre l'apprentissage et l'immunité. Néanmoins, l'existence de relations génétiques complexes n'est pas exclue.

On the writer identification in old handwritten music scores

Report for the scientific sojourn at the University of Bern, Swiss, from Mars until June 2008. Writer identification consists in determining the writer of a piece of handwriting from a set of writers. Even though an important amount of compositions contains handwritten text in the music scores, the aim of the work is to use only music notation to determine the author. It’s been developed two approaches for writer identification in old handwritten music scores. The methods proposed extract features from every music line, and also features from a texture image of music symbols. First of all, the music sheet is first preprocessed for obtaining a binarized music score without the staff lines. The classification is performed using a k-NN classifier based on Euclidean distance. The proposed method has been tested on a database of old music scores from the 17th to 19th centuries, achieving encouraging identification rates.

Confirmation of functional zones within the human subthalamic nucleus: patterns of connectivity and sub-parcellation using diffusion weighted imaging.

The subthalamic nucleus (STN) is a small, glutamatergic nucleus situated in the diencephalon. A critical component of normal motor function, it has become a key target for deep brain stimulation in the treatment of Parkinson's disease. Animal studies have demonstrated the existence of three functional sub-zones but these have never been shown conclusively in humans. In this work, a data driven method with diffusion weighted imaging demonstrated that three distinct clusters exist within the human STN based on brain connectivity profiles. The STN was successfully sub-parcellated into these regions, demonstrating good correspondence with that described in the animal literature. The local connectivity of each sub-region supported the hypothesis of bilateral limbic, associative and motor regions occupying the anterior, mid and posterior portions of the nucleus respectively. This study is the first to achieve in-vivo, non-invasive anatomical parcellation of the human STN into three anatomical zones within normal diagnostic scan times, which has important future implications for deep brain stimulation surgery.

Classification of human astrocytic gliomas on the basis of gene expression: a correlated group of genes with angiogenic activity emerges as a strong predictor of subtypes.

The development of targeted treatment strategies adapted to individual patients requires identification of the different tumor classes according to their biology and prognosis. We focus here on the molecular aspects underlying these differences, in terms of sets of genes that control pathogenesis of the different subtypes of astrocytic glioma. By performing cDNA-array analysis of 53 patient biopsies, comprising low-grade astrocytoma, secondary glioblastoma (respective recurrent high-grade tumors), and newly diagnosed primary glioblastoma, we demonstrate that human gliomas can be differentiated according to their gene expression. We found that low-grade astrocytoma have the most specific and similar expression profiles, whereas primary glioblastoma exhibit much larger variation between tumors. Secondary glioblastoma display features of both other groups. We identified several sets of genes with relatively highly correlated expression within groups that: (a). can be associated with specific biological functions; and (b). effectively differentiate tumor class. One prominent gene cluster discriminating primary versus nonprimary glioblastoma comprises mostly genes involved in angiogenesis, including VEGF fms-related tyrosine kinase 1 but also IGFBP2, that has not yet been directly linked to angiogenesis. In situ hybridization demonstrating coexpression of IGFBP2 and VEGF in pseudopalisading cells surrounding tumor necrosis provided further evidence for a possible involvement of IGFBP2 in angiogenesis. The separating groups of genes were found by the unsupervised coupled two-way clustering method, and their classification power was validated by a supervised construction of a nearly perfect glioma classifier.

Desenvolupament d'un memetracker - rastrejador de notícies

El projecte es centra en el desenvolupament d'un recol·lector de notícies publicades a una llarga llista de blocs ampliada contínuament pel desenvolupador i pels usuaris, afegint els seus blocs preferits. L'aplicació desenvolupada realitza una recol·lecció contínua de notícies consultant les possibles novetats que apareguin en cada un dels blocs inscrits a l'aplicació. Se'ls hi aplica un classificador per idioma i per temàtica i es relaciona amb les altres notícies existents si aquestes parlen sobre el mateix tema. En l'aplicació desenvolupada hi ha la possibilitat d'escollir entre les temàtiques ofertes i en l'idioma que ha estat publicada la notícia. Pel desenvolupament del projecte s'ha desitjat que la plataforma sigui el més compatible possible amb la tecnologia actual fent servir diversos llenguatges de programació que han permès desenvolupar cada un dels algorismes necessaris pel desenvolupament global de l'aplicació; en ordre d'ús he fet servir Php, Matlab, Html, MySql, CSS3, Javascript i XML. s'ha de destacar que el projecte aporta una comoditat per tots aquells lectors de blocs que es troben tantes vegades amb notícies ja llegides en els diferents blocs que consulten.

Vida social i associacionisme al barri de Montbau

L'objectiu fonamental d'aquest treball és aprofundir en aspectes d'un barri que té molt poca documentació escrita. Aprofundir en concret en les principals associacions del barri i en la realitat social que es viu en elles. Això inclouria: estudiar la història i l'actualitat de les diferents entitats i la seva vida associativa, presentar els nivells i els perfils de participació en cada una de les associacions i analitzar la funció social de les entitats, especialment quant a sociabilitat, integració i formació d'identitat.

Are vectors able to learn about their hosts? A case study with Aedes aegypti mosquitoes

The way in which vectors distribute themselves amongst their hosts has important epidemiological consequences. While the role played by active host choice is largely unquestioned, current knowledge relates mostly to the innate response of vectors towards stimuli signalling the presence or quality of their hosts. Many of those cues, however, can be unpredictable, and therefore prevent the incorporation of the appropriate response into the vector's behavioural repertoire unless some sort of associative learning is possible. We performed a wide range of laboratory experiments to test the learning abilities of the mosquito, Aedes aegypti. Mosquitoes were exposed to choice procedures in (1) an olfactomenter and (2) a 'visual arena'. Our goal was to determine whether the mosquitoes were able to associate unconditional stimuli (blood feeding, human breath, vibration and electrical shock) with particular odours (citral, carvone, citronella oil and eugenol) and visual patterns (horizontal or vertical black bars) to which they had been previously observed to be responsive. We found no evidence supporting the hypothesis that associative learning abilities are present in adult Ae. aegypti. We discuss the possibilities that the assays employed were either inappropriate or insufficient to detect associative learning, or that associative learning is not possible in this species.

Identité et filiation : enfants enlevés-appropriés, adultes restitués dans le contexte de la dernière dictature militaire en Argentine (1976-1983)

Durant la dernière dictature argentine (1976-1983), !a junte militaire organisa le vol de nourrissons, enfants de leurs ennemis, pour qu'ils puissent être élevés dans des familles proches du pouvoir. L'association « Grands-Mères de la Place de Mai » comptabilisa environ 409 vols. Au moment de l'exploration du terrain de récherche, en 2004, une quarantaine avaient été retrouvés dans des familles qui ne connaissaient pas leurs origines tandis qu'une vingtaine étaient dans des familles liées à la junte ; c'est à cette dernière catégorie que s'intéresse ce travail. Durant leur enfance ou à l'âge adulte, ces enfants apprirent un jour la vérité sur leurs origines biologiques et la justice la leur restitua ; c'est pourquoi ils sont dits « restitués ». Cette contribution vise à interroger l'identité individuelle comme une dynamique intime qui s'articule à la filiation et s'insère dans une collectivité, une société. Trois hypothèses l'ont organisée : une première concerne la connaissance des origines biologiques et ses conséquences psychologiques identitaires, qui passe nécessairement par la justice et la société. Une deuxième hypothèse explore les éventelles conséquences traumatiques de l'enlèvement des personnes restituées et de la restitution. Enfin, la troisième hypothèse interroge le rapport de la construction identitaire à la société, qu'elle se fasse par des investissements politiques et associatifs ou par les médias et l'Histoire. Ces hypothèses nourrissent un questionnement sur les liens entre restitution et travail de symbolisation des origines. Sept entretiens semi structurés avec des personnes restituées ont. été menés puis qualitativement analysés dans une perspective que l'on peut référer, de manière large, à une « anthropologique clinique », au croisement d'une psychologie clinique éclairée par la psychanalyse et de l'anthropologie. Au travers d'une analyse approfondie de leur parcours identitaire des personnes enlevées, adoptées et restituées, ce travail se livre à une recherche empirique sur la construction identitaire. Le concept de transmission se trouve mobilisé, qui concerne l'inscription de l'individu dans la subjectivité d'un couple avec le prénom, dans une lignée ou dans un collectif avec le choix professionnel ou les liens avec l'association « Grands-Mères de la Place Mai ». De plus, la thèse apporte une contribution à la compréhension des enjeux du clivage, des blessures primitive et narcissique, des processus d'affiliation et des secrets de famille et propose également de penser, en prolongement, les enjeux de la « défiliation » et de I'« amalgame ». La question du traumatisme, de sa répétition et de son élaboration, ainsi que celle des facteurs de resilience sont également discutées. Ce travail ouvre sur une réflexion plus large du concept d'identité. - During the last dictatorship in Argentina (1976-1983), the military junta organized the kidnapping of infants - children of its enemies - in order to raise them in families close to the authorities. The association "Mothers of the Plaza de Mayo" estimates that approximately 400 children have been kidnapped in this way. During their childhood, or as adults, they have come to learn the truth about their biological origins, restituted to them by justice: They are therefore known as "restituted" children. At the time of the field research in 2004, around 40 children had been found in families unaware of their origins. About 20 other came from families close to the junta. The present work is particularly interested in the latter category. This contribution investigates the individual identity as an intimate dynamics by examining its articulation with filiation and its insertion within a community, a society. It revolves around three hypotheses: the first concerns the knowledge - necessarily transmitted through justice and society - of biological origins and its psychological consequences on the identity. The second explores the eventually traumatic, consequences of kidnapping and restitution among the restituted persons. Finally, the third hypothesis questions the relation between identity construction and society, whether it is made through political and associative involvements, media or History. These hypotheses lead to the examination of affiliations between restitution and symbolization process of the origins. Seven semi-structured interviews with restituted persons have been conducted and qualitatively analyzed in a perspective that can, in a large sense, be referred to as "clinical anthropology": an approach/intersection between clinical psychology, psychoanalysis and anthropology. Through an in-depth analysis of the identity itinerary of the kidnapped, adopted and restituted persons, this work is conducted as an empirical research on identity construction. For that purpose, it uses the concept of transmission to describe an individual's affiliation with the subjectivity of a couple through the first name, with a lineage or a community through professional choices or through his/her connections with the association "Mothers of the Plaza de Mayo". Further, it makes a meaningful contribution to the understanding and implications of the notions of cleavage, of primal and narcissistic wounds, of processes of affiliation and of family secrets. In addition, it also proposes a reflection on and the implication of the notions of "deviation" and "amalgam". The question of trauma, its repetition and elaboration, and of resilience factors are aiso being discussed. This work concludes with results in a iarger consideration of the concept of identity.

Cluster kernels for semisupervised classification of VHR urban images

In this paper, we present and apply a semisupervised support vector machine based on cluster kernels for the problem of very high resolution image classification. In the proposed setting, a base kernel working with labeled samples only is deformed by a likelihood kernel encoding similarities between unlabeled examples. The resulting kernel is used to train a standard support vector machine (SVM) classifier. Experiments carried out on very high resolution (VHR) multispectral and hyperspectral images using very few labeled examples show the relevancy of the method in the context of urban image classification. Its simplicity and the small number of parameters involved make it versatile and workable by unexperimented users.

Scene Classification Using a Hybrid Generative/Discriminative Approach

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. To this end, we introduce a novel vocabulary using dense color SIFT descriptors and then investigate the classification performance under changes in the size of the visual vocabulary, the number of latent topics learned, and the type of discriminative classifier used (k-nearest neighbor or SVM). We achieve superior classification performance to recent publications that have used a bag of visual word representation, in all cases, using the authors' own data sets and testing protocols. We also investigate the gain in adding spatial information. We show applications to image retrieval with relevance feedback and to scene classification in videos

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Desenvolupament d'algorismes biològicament inspirats basats en Support Vector Machines

L'objectiu d'aquest projecte ha estat el desenvolupament d'algorismes biològicament inspirats per a l'olfacció artificial. Per a assolir-lo ens hem basat en el paradigma de les màquines amb suport vectorial. Hem construit algoritmes que imitaven els processos computacionals dels diferents sistemes que formen el sistema olfactiu dels insectes, especialment de la llagosta Schistocerca gregaria. Ens hem centrat en el lòbuls de les antenes, i en el cos fungiforme. El primer està considerat un dispositiu de codificació de les olors, que a partir de la resposta temporal dels receptors olfactius a les antenes genera un patró d'activació espaial i temporal. Quant al cos fungiforme es considera que la seva funció és la d'una memòria per als olors, així com un centre per a la integració multi-sensorial. El primer pas ha estat la construcció de models detallats dels dos sistemes. A continuació, hem utilitzat aquests models per a processar diferents tipus de senyals amb l'objectiu de abstraure els principis computacionals subjacents. Finalment, hem avaluat les capacitats d'aquests models abstractes, i els hem utilitzat per al processat de dades provinents de sensors de gasos. Els resultats mostren que el models abstractes tenen millor comportament front el soroll i més capacitat d'emmagatzematge de records que altres models més clàssics, com ara les memòries associatives de Hopfield o fins i tot en determinades circumstàncies que les mateixes Support Vector Machines.

Technologies de procédé et de contrôle pour réduire la teneur en sel du jambon sec et des saucissons

Dans certains pays européens, les produits carnés élaborés peuvent représenter près de 20% de la consommation journalière de sodium. De ce fait, les industries de la viande tentent de réduire la teneur en sel dans les produits carnés pour répondre, d’une part aux attentes des consommateurs et d’autre part aux demandes des autorités sanitaires. Le système Quick‐Dry‐Slice process (QDS®), couplé avec l’utilisation de sels substituant le chlorure de sodium (NaCl), a permis de fabriquer, avec succès, des saucisses fermentées à basse teneur en sel en réduisant le cycle de fabrication et sans ajout de NaCl supplémentaire. Les technologies de mesure en ligne non destructives, comme les rayons X et l’induction électromagnétique, permettent de classifier les jambons frais suivant leur teneur en gras, un paramètre crucial pour adapter la durée de l’étape de salaison. La technologie des rayons X peut aussi être utilisée pour estimer la quantité de sel incorporée pendant la salaison. L’information relative aux teneurs en sel et en gras est importante pour optimiser le processus d’élaboration du jambon sec en réduisant la variabilité de la teneur en sel entre les lots et dans un même lot, mais aussi pour réduire la teneur en sel du produit final. D’autres technologies comme la spectroscopie en proche infrarouge (NIRS) ou spectroscopie microondes sont aussi utiles pour contrôler le processus d’élaboration et pour caractériser et classifier les produits carnés élaborés, selon leur teneur en sel. La plupart de ces technologies peuvent être facilement appliquées en ligne dans l’industrie afin de contrôler le processus de fabrication et d’obtenir ainsi des produits carnés présentant les caractéristiques recherchées.

Health effects of occupational exposure to traffic particles and noise

Exposure to fine particles and noise has been linked to cardiovascular diseases and elevated cardiovascular mortality affecting the worldwide population. Residence and/or work in proximity to emission sources as for example road traffic leads to an elevated exposure and a higher risk for adverse health effects. Highway maintenance workers spend most of their work time in traffic and are exposed regularly to particles and noise. The aims of this thesis were to provide a better understanding of the workers' mixed exposure to particles and noise and to assess cardiopulmonary short term health effects in relation to this exposure. Exposure and health data were collected in collaboration with 8 maintenance centers of the Swiss Road Maintenance Services located in the cantons Bern, Fribourg and Vaud in western Switzerland. Repeated measurements with 18 subjects were conducted during 50 non-consecutive work shifts between Mai 2010 and February 2012, equally distributed over all seasons. In the first part of this thesis we tested and validated measurements of ultrafine particles with a miniature diffusion size classifier (miniDiSC) - a novel particle counting device that was used for the exposure assessment during highway maintenance work. We found that particle numbers and average particle size measured by the miniDiSC were highly correlated with data from the P-TRAK, a condensation particle counter (CPC), as well as from a scanning mobility particle sizer (SMPS). However, the miniDiSC measured significantly more particles than the P-TRAK and significantly less than the SMPS in its full size range. Our data suggests that the instrument specific cutoffs were the main reason for the different particle counts. The first main objective of this thesis was to investigate the exposure of highway maintenance workers to air pollutants and noise, in relation to the different maintenance activities. We have seen that the workers are regularly exposed to high particle and noise levels. This was a consequence of close proximity to highway traffic and the use of motorized working equipment such as brush cutters, chain saws, generators and pneumatic hammers during which the highest exposure levels occurred. Although exposure to air pollutants were not critical if compared to occupational exposure limits, the elevated exposure to particles and noise may lead to a higher risk for cardiovascular diseases in this worker population. The second main objective was to investigate cardiopulmonary short-term health effects in relation to the particle and noise exposure during highway maintenance work. We observed a PM2.5 related increase of the acute-phase inflammation markers C-reactive protein and serum amyloid A and a decrease of TNFa. Heart rate variability increased as a consequence of particle as well as noise exposure. Increased high frequency power indicated a stronger parasympathetic influence on the heart. Elevated noise levels during recreational time, after work, were related to increased blood pressure. Our data confirmed that highway maintenance workers are exposed to elevated levels of particles and noise as compared to the average population. This exposure poses a cardiovascular health risk and it is therefore important to make efforts to better protect the workers health. The use of cleaner machines during maintenance work would be a major step to improve the workers' situation. Furthermore, regulatory policies with the aim of reducing combustion and non-combustion emissions from road traffic are important for the protection of workers in traffic environments and the entire population.