HDAC3 is crucial in shear- and VEGF-induced stem cell differentiation toward endothelial cells

Reendothelialization involves endothelial progenitor cell (EPC) homing, proliferation, and differentiation, which may be influenced by fluid shear stress and local flow pattern. This study aims to elucidate the role of laminar flow on embryonic stem (ES) cell differentiation and the underlying mechanism. We demonstrated that laminar flow enhanced ES cell-derived progenitor cell proliferation and differentiation into endothelial cells (ECs). Laminar flow stabilized and activated histone deacetylase 3 (HDAC3) through the Flk-1-PI3K-Akt pathway, which in turn deacetylated p53, leading to p21 activation. A similar signal pathway was detected in vascular endothelial growth factor-induced EC differentiation. HDAC3 and p21 were detected in blood vessels during embryogenesis. Local transfer of ES cell-derived EPC incorporated into injured femoral artery and reduced neointima formation in a mouse model. These data suggest that shear stress is a key regulator for stem cell differentiation into EC, especially in EPC differentiation, which can be used for vascular repair, and that the Flk-1-PI3K-Akt-HDAC3-p53-p21 pathway is crucial in such a process.

Effets neurophysiologiques de la stimulation du nerf vague : implication dans le traitement de la dépression résistante et optimisation des paramètres de stimulation

La dépression est une pathologie grave qui, malgré de multiples stratégies thérapeutiques, demeure résistante chez un tiers des patients. Les techniques de stimulation cérébrale sont devenues une alternative intéressante pour les patients résistants à diverses pharmacothérapies. La stimulation du nerf vague (SNV) a ainsi fait preuve de son efficacité en clinique et a récemment été approuvée comme traitement additif pour la dépression résistante. Cependant, les mécanismes d’action de la SNV en rapport avec la dépression n’ont été que peu étudiés. Cette thèse a donc eu comme premier objectif de caractériser l’impact de la SNV sur les différents systèmes monoaminergiques impliqués dans la pathophysiologie de la dépression, à savoir la sérotonine (5-HT), la noradrénaline (NA) et la dopamine (DA), grâce à l’utilisation de techniques électrophysiologiques et de la microdialyse in vivo chez le rat. Des études précliniques avaient déjà révélé qu’une heure de SNV augmente le taux de décharge des neurones NA du locus coeruleus, et que 14 jours de stimulation sont nécessaires pour observer un effet comparable sur les neurones 5-HT. Notre travail a démontré que la SNV modifie aussi le mode de décharge des neurones NA qui présente davantage de bouffées, influençant ainsi la libération terminale de NA, qui est significativement augmentée dans le cortex préfrontal et l’hippocampe après 14 jours. L’augmentation de la neurotransmission NA s’est également manifestée par une élévation de l’activation tonique des récepteurs postsynaptiques α2-adrénergiques de l’hippocampe. Après lésion des neurones NA, nous avons montré que l’effet de la SNV sur les neurones 5-HT était indirect, et médié par le système NA, via l’activation des récepteurs α1-adrénergiques présents sur les neurones du raphé. Aussi, tel que les antidépresseurs classiques, la SNV augmente l’activation tonique des hétérorécepteurs pyramidaux 5-HT1A, dont on connait le rôle clé dans la réponse thérapeutique aux antidépresseurs. Par ailleurs, nous avons constaté que malgré une diminution de l’activité électrique des neurones DA de l’aire tegmentale ventrale, la SNV induit une augmentation de la DA extracellulaire dans le cortex préfrontal et particulièrement dans le noyau accumbens, lequel joue un rôle important dans les comportements de récompense et l’hédonie. Un deuxième objectif a été de caractériser les paramètres optimaux de SNV agissant sur la dépression, en utilisant comme indicateur le taux de décharge des neurones 5-HT. Des modalités de stimulation moins intenses se sont avérées aussi efficaces que les stimulations standards pour augmenter l’activité électrique des neurones 5-HT. Ces nouveaux paramètres de stimulation pourraient s’avérer bénéfiques en clinique, chez des patients ayant déjà répondu à la SNV. Ils pourraient minimiser les effets secondaires reliés aux périodes de stimulation et améliorer ainsi la qualité de vie des patients. Ainsi, ces travaux de thèse ont caractérisé l’influence de la SNV sur les trois systèmes monoaminergiques, laquelle s’avère en partie distincte de celle des antidépresseurs classiques tout en contribuant à son efficacité en clinique. D’autre part, les modalités de stimulation que nous avons définies seraient intéressantes à tester chez des patients recevant la SNV, car elles devraient contribuer à l’amélioration des bénéfices cliniques de cette thérapie.

A study of co-precipitated bimetallic gold catalysts for water-gas shift reaction

Synthesis, testing and characterisation of bimetallic gold, Au-M on ceria as catalysts were carried out for low temperature water-gas shift reaction (WGS). Amongst the entire screened catalysts 3 wt% (AU-Pt)/CeO2 displayed the best WGS activity than the monometallic promotors, giving the light-off curve at the lowest temperature in the range 100-300 degrees C. (Au-Pd)/CeO2 also achieved the same activity but at a higher temperature. It was also found that WGS activity was strongly correlated with the surface reducibility which in turn depended on the modified local electronic band structure of promoted ceria. These results clearly suggest that the key role of bimetallic promoter may involve in facilitating the creation of defective reduced surface by exerting its local electronic effect on ceria to form the surface germinal -OH groups in water which act as active sites for enhanced WGS activity. (C) 2008 Elsevier B.V. All rights reserved.

An evaluation of the pedestrian classification in a multi-domain multi-modality setup

The objective of this article is to study the problem of pedestrian classification across different light spectrum domains (visible and far-infrared (FIR)) and modalities (intensity, depth and motion). In recent years, there has been a number of approaches for classifying and detecting pedestrians in both FIR and visible images, but the methods are difficult to compare, because either the datasets are not publicly available or they do not offer a comparison between the two domains. Our two primary contributions are the following: (1) we propose a public dataset, named RIFIR , containing both FIR and visible images collected in an urban environment from a moving vehicle during daytime; and (2) we compare the state-of-the-art features in a multi-modality setup: intensity, depth and flow, in far-infrared over visible domains. The experiments show that features families, intensity self-similarity (ISS), local binary patterns (LBP), local gradient patterns (LGP) and histogram of oriented gradients (HOG), computed from FIR and visible domains are highly complementary, but their relative performance varies across different modalities. In our experiments, the FIR domain has proven superior to the visible one for the task of pedestrian classification, but the overall best results are obtained by a multi-domain multi-modality multi-feature fusion.

Assessing the reliability of probabilistic flood inundation model predictions

An ability to quantify the reliability of probabilistic flood inundation predictions is a requirement not only for guiding model development but also for their successful application. Probabilistic flood inundation predictions are usually produced by choosing a method of weighting the model parameter space, but previous study suggests that this choice leads to clear differences in inundation probabilities. This study aims to address the evaluation of the reliability of these probabilistic predictions. However, a lack of an adequate number of observations of flood inundation for a catchment limits the application of conventional methods of evaluating predictive reliability. Consequently, attempts have been made to assess the reliability of probabilistic predictions using multiple observations from a single flood event. Here, a LISFLOOD-FP hydraulic model of an extreme (>1 in 1000 years) flood event in Cockermouth, UK, is constructed and calibrated using multiple performance measures from both peak flood wrack mark data and aerial photography captured post-peak. These measures are used in weighting the parameter space to produce multiple probabilistic predictions for the event. Two methods of assessing the reliability of these probabilistic predictions using limited observations are utilized; an existing method assessing the binary pattern of flooding, and a method developed in this paper to assess predictions of water surface elevation. This study finds that the water surface elevation method has both a better diagnostic and discriminatory ability, but this result is likely to be sensitive to the unknown uncertainties in the upstream boundary condition

Combining 3D and 2D for less constrained periocular recognition

Periocular recognition has recently become an active topic in biometrics. Typically it uses 2D image data of the periocular region. This paper is the first description of combining 3D shape structure with 2D texture. A simple and effective technique using iterative closest point (ICP) was applied for 3D periocular region matching. It proved its strength for relatively unconstrained eye region capture, and does not require any training. Local binary patterns (LBP) were applied for 2D image based periocular matching. The two modalities were combined at the score-level. This approach was evaluated using the Bosphorus 3D face database, which contains large variations in facial expressions, head poses and occlusions. The rank-1 accuracy achieved from the 3D data (80%) was better than that for 2D (58%), and the best accuracy (83%) was achieved by fusing the two types of data. This suggests that significant improvements to periocular recognition systems could be achieved using the 3D structure information that is now available from small and inexpensive sensors.

Caracterização sócio-ambiental do bairro de Felipe Camarão- Natal/ RN

The rapid growth of the Brazilian cities in the latest years has brought a series of problems regarding housing policies and, therefore, the provision of dwellings for the low-income class people. Following the pattern of other capital cities, Natal has repeated the pattern of urbanization practiced in the country, which concentrates the low-income class inhabitants in specific zones of the city known as peripheries or even in a dwelling place for less-favored classes such as Felipe Camarão, which is one of ten boroughs belonging to the western administrative zone, a region which has historically received less attention from the public administrators towards infrastructure investments. Based on those aspects, the general objective of this work is to investigate which main social-environmental alterations have resulted from the processes of urbanization and field occupation in that area. The specific objectives are concerned with verifying 1) the process of urbanization and the process of dividing urban soil from the 1960s; 2) the current configuration of the public spaces in the borough; 3) the process of the deprivation of the original landscape characteristics of Environmental Protection Zones; 4) the dynamics of land occupation which are predominant in dune areas; 5) the dynamics of land occupation which are predominant in mangrove areas; 6) and the destruction of green covering on the land with its consequent alteration of the local floristic pattern. The methodology consisted of in-loco visits; the application of questionnaires as community research; a survey of bibliography published by the organisms and institutions in charge of carrying out the city hall s environmental and housing policies; and descriptive statistics of the collected data. Concerning the pattern of occupation which is predominant in the borough, the treatment of space dispensed by the local dwellers has culminated in the emergence and consolidation of environmental alterations which are clearly different from common occurrence in both the building area represented by housing complexes and in the green areas represented by dunes and mangroves. The data show that there was the predominance of the irregular land occupation process over the official housing policy during the population settlement which contributed with a series of frequent and foreseeable problems in the dynamics of urbanization of poverty such as invasions and appropriations of land parcels, the beginning of irregular arrangement of streets, the formation of villages and slums, which are full of self-constructed housing units, and the occupation and degradation of susceptibly fragile environmental areas such as the dune slopes and the mangroves

Detecção de impressões digitais fraudulentas utilizando padrões mapeados localmente em multiescala

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cooperative communication and distributed detection in wireless sensor networks

Recent progress in microelectronic and wireless communications have enabled the development of low cost, low power, multifunctional sensors, which has allowed the birth of new type of networks named wireless sensor networks (WSNs). The main features of such networks are: the nodes can be positioned randomly over a given field with a high density; each node operates both like sensor (for collection of environmental data) as well as transceiver (for transmission of information to the data retrieval); the nodes have limited energy resources. The use of wireless communications and the small size of nodes, make this type of networks suitable for a large number of applications. For example, sensor nodes can be used to monitor a high risk region, as near a volcano; in a hospital they could be used to monitor physical conditions of patients. For each of these possible application scenarios, it is necessary to guarantee a trade-off between energy consumptions and communication reliability. The thesis investigates the use of WSNs in two possible scenarios and for each of them suggests a solution that permits to solve relating problems considering the trade-off introduced. The first scenario considers a network with a high number of nodes deployed in a given geographical area without detailed planning that have to transmit data toward a coordinator node, named sink, that we assume to be located onboard an unmanned aerial vehicle (UAV). This is a practical example of reachback communication, characterized by the high density of nodes that have to transmit data reliably and efficiently towards a far receiver. It is considered that each node transmits a common shared message directly to the receiver onboard the UAV whenever it receives a broadcast message (triggered for example by the vehicle). We assume that the communication channels between the local nodes and the receiver are subject to fading and noise. The receiver onboard the UAV must be able to fuse the weak and noisy signals in a coherent way to receive the data reliably. It is proposed a cooperative diversity concept as an effective solution to the reachback problem. In particular, it is considered a spread spectrum (SS) transmission scheme in conjunction with a fusion center that can exploit cooperative diversity, without requiring stringent synchronization between nodes. The idea consists of simultaneous transmission of the common message among the nodes and a Rake reception at the fusion center. The proposed solution is mainly motivated by two goals: the necessity to have simple nodes (to this aim we move the computational complexity to the receiver onboard the UAV), and the importance to guarantee high levels of energy efficiency of the network, thus increasing the network lifetime. The proposed scheme is analyzed in order to better understand the effectiveness of the approach presented. The performance metrics considered are both the theoretical limit on the maximum amount of data that can be collected by the receiver, as well as the error probability with a given modulation scheme. Since we deal with a WSN, both of these performance are evaluated taking into consideration the energy efficiency of the network. The second scenario considers the use of a chain network for the detection of fires by using nodes that have a double function of sensors and routers. The first one is relative to the monitoring of a temperature parameter that allows to take a local binary decision of target (fire) absent/present. The second one considers that each node receives a decision made by the previous node of the chain, compares this with that deriving by the observation of the phenomenon, and transmits the final result to the next node. The chain ends at the sink node that transmits the received decision to the user. In this network the goals are to limit throughput in each sensor-to-sensor link and minimize probability of error at the last stage of the chain. This is a typical scenario of distributed detection. To obtain good performance it is necessary to define some fusion rules for each node to summarize local observations and decisions of the previous nodes, to get a final decision that it is transmitted to the next node. WSNs have been studied also under a practical point of view, describing both the main characteristics of IEEE802:15:4 standard and two commercial WSN platforms. By using a commercial WSN platform it is realized an agricultural application that has been tested in a six months on-field experimentation.

A study for the self similarity smile detection

[EN]This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) as main descriptors of the image, along with the powerful Support Vector Machines classifier. Results show that error rates can be acceptable and the self similarity approach for the detection of smiles is suitable for real-time interaction, although there is still room for improvement.

[Antibiotic resistance: infections of the upper respiratory tract and bronchi. When are antibiotics necessary?]

Antimicrobial resistance among respiratory tract pathogens has become an increasing problem worldwide during the last 10-20 years. The wide use of antimicrobial agents in ambulatory practice has contributed to the emergence and spread of antibiotic-resistant bacteria in the community, namely Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis. The pneumococcus has developed resistance to most antibiotics used for its treatment. Classes with important resistance problems include the beta-lactams, the macrolides, the lincosamides, trimethoprim-sulfamethoxazole, and the tetracyclines. Unfortunately, resistance to more than one class of antibiotics is common. In Haemophilus influenzae and Moraxella catarrhalis, resistance to beta-lactam antibiotics is the main concern currently. It is important to know the local resistance pattern of the most common respiratory tract pathogens in order to make reasonable recommendations for an empirical therapy for respiratory tract infection, when antibiotic therapy is indeed indicated.

Meroplankton in the Kara Sea

Meroplankton was sampled at 11 stations in the southern Kara Sea and the Yenisei Estuary in September 2000. Larvae of 29 benthic taxa representing 10 higher groups were identified. Meroplankton was present at almost all stations and most depth levels. The two most abundant groups were Echinodermata (68%) and Polychaeta (26%). Echinoderms dominated total meroplankton locally due to mass occurrences of Ophiopluteus larvae. The relative group composition was highly variable and seemed to depend mainly on the local hydrographic pattern. Comparison of meroplanktonic data with the distribution of the adults revealed for Spionida and Bivalvia a 'downstream' transport of the larvae whereas for other polychaete species and Ophiuroida 'upstream' transport into the estuary occurred. The distribution and concentration of the larvae within the estuary is explained by physical barriers established by hydrographic gradients, the prevailing mixing processes and the presence of a near-bottom counter current.

Metodología del análisis de imágenes digitales para el estudio del contenido de humedad en vertisoles

Desde finales del siglo pasado, el procesamiento y análisis de imágenes digitales, se ha convertido en una poderosa herramienta para la investigación de las propiedades del suelo a múltiples resoluciones, sin embargo todavía no existen los mejores resultados en cuanto a estos trabajos. El principal problema para investigar el drenaje vertical a partir de la distribución de humedad en un perfil de vertisol es la búsqueda de métodos factibles que usen este procedimiento. El objetivo general es implementar una metodología para el procesamiento y análisis de imágenes digitales, que permita caracterizar la distribución del contenido de humedad de un perfil de vertisol. Para el estudio, doce calicatas fueron excavadas en un Mazic Pellic Vertisol, seis de ellas en mayo 13/2011 y el resto en mayo 19/2011 después de moderados eventos de lluvia. Las imágenes RGB de los perfiles fueron tomadas con una cámara Kodak™; con tamaños seleccionados de 1600 x 945 píxeles cada una fue procesada para homogeneizar el brillo y se aplicaron filtros suavizadores de diferentes tamaños de ventana, hasta obtener el óptimo. Cada imagen se dividió en sus matrices componentes, seleccionando los umbrales de cada una para ser aplicado y obtener el patrón digital binario. Este último fue analizado a través de la estimación de dos exponentes fractales: dimensión de conteo de cajas (DBC) y dimensión fractal de interfase húmedo seco (Di). Además, fueron determinados tres coeficientes prefractales a la máxima resolución: número total de cajas interceptados en el plano del patrón (A), la lagunaridad fractal (λ1) y la entropía de Shannon (S1). Para todas las imágenes obtenidas, basado en la entropía, los análisis de clúster y de histogramas, el filtro espacial de 9x9 resultó ser el de tamaño de ventana óptimo. Los umbrales fueron seleccionados a partir del carácter bimodal de los histogramas. Los patrones binarios obtenidos mostraron áreas húmedas (blancas) y secas (negras) que permitieron su análisis. Todos los parámetros obtenidos mostraron diferencias significativas entre ambos conjuntos de patrones espaciales. Mientras los exponentes fractales aportan información sobre las características de llenado del patrón de humedad, los coeficientes prefractales representan propiedades del suelo investigado. La lagunaridad fractal fue el mejor discriminador entre los patrones de humedad aparente del suelo. ABSTRACT From last century, digital image processing and analysis was converted in a powerful tool to investigate soil properties at multiple resolutions, however, the best final procedure in these works not yet exist. The main problem to study vertical drainage from the moisture distribution, on a vertisol profile, is searching for suitable methods using these procedures. Our aim was to design a digital image processing methodology and its analysis to characterize the moisture content distribution of a vertisol profile. In this research, twelve soil pits were excavated on a bare Mazic Pellic Vertisol, six of them in May 13/2011 and the rest in May 19/2011 after a moderate rainfall event. Digital RGB images were taken from each vertisol pit using a Kodak™ camera selecting a size of 1600x945 pixels. Each soil image was processed to homogenized brightness and then a spatial filter with several window sizes was applied to select the optimum one. The RGB image obtained were divided in each matrix color selecting the best thresholds for each one, maximum and minimum, to be applied and get a digital binary pattern. This one was analyzed by estimating two fractal scaling exponents: box counting dimension (DBC