No description available.

No / The North Sea subsurface shows the marks of long-term tectonic subsidence. Much of it contains a thick record of glacial and interglacial deposits and landscapes, formed during multiple glacial cycles and the associated regressions and transgressions during the past two million years. At times of lower sea level than today, areas that are presently submerged were fertile lowlands more favourable for hunting and gathering than the surrounding upland. These drowned lowlands are not captured by traditional 1:250,000 geological maps of the North Sea subsurface because the underlying seismic and core data are commonly too widely spaced to achieve this. Palaeolandscape mapping requires identification of building blocks with spatial scales in the order of 1 km or less. As high-density 2D and high-quality 3D seismics are becoming available for an increasing part of the North Sea, glacial and interglacial palaeolandscapes can be reconstructed for more and more areas. An overview of published palaeolandscape reconstructions shows that shallow time slices through 3D data provide map views that are very suitable for the identification of landscape elements. For optimal results, each time slice needs to be validated and ground-truthed with 2D seismics and with descriptions and analyses of cores and borehole samples. Interpretations should be made by teams of geoscientists with a sufficiently broad range of expertise to recognise and classify even subtle or unfamiliar patterns and features. The resulting reconstructions will provide a context and an environmental setting for Palaeolithic, Mesolithic, and Neolithic societies and finds.

No description available.

This study investigates the complex flow structure generated by riparian emergent vegetation along the edge of floodplain. Detailed velocity and boundary shear stress measurements were carried out for various arrangements of emergent rigid cylindric rods of 3 mm, 6 mm and 9 mm diameters and for three different rod densities. In addition, the impact of foliage on the flow field was assessed during a series of experiments where brushes were used instead of smooth rods. The results of these new experiments are first presented. In addition to the laboratory data, field data was obtained through Acoustic Doppler Current Profiler measurements for two flood events in a stretch of the river Rhône that can be approximated to a straight compound channel with vegetated banks. The analysis of the flow structure highlights the presence of strong secondary circulation and increased vorticity on the river banks. The rods on the edge of the floodplain increase significantly flow resistance, reducing velocity and decreasing boundary shear stress. Flow rate was seen to decrease with increasing vegetative density for all cases except when foliage was added. This suggests that an optimum threshold density, for which a smaller density would lead to an increased flow rate might exist. Wakes trailing downstream of the vegetation stem, planform coherent structures advected between the main channel and the floodplain, and eddying motion in the flow due to enhanced turbulence anisotropy are among the defining patterns observed in the studied compound channel flows with one line of emergent vegetation along the edge of the floodplain. The Shiono and Knight Method (SKM) was modified in order to account for the increased turbulence activity due to the rods. The drag force term was introduced in the same way as in the work of Rameshwaran and Shiono (2007). However, a new term was added to the transverse shear stress term in the form of an Elder formulation, incorporating a friction drag coefficient which can be derived from the experimental data. In this proposed version, the advection term was set to zero. Another version of the SKM, similar to Rameshwaran and Shiono (2007), was also tested with the addition of a local drag friction only applied in the rod region. The proposed SKM version without the advection term was favored as it can be more closely related to the experimental data and to physical processes. Finally, the capabilities of Telemac-2D were tested against the experimental data for various turbulence models. The Large Eddy Simulation turbulence model highlighted some unsteady flow patterns that were observed during experiments, while satisfactorily predicting the lateral velocity and boundary shear stress distributions.

Dynamic atomistic description of bio-inorganic interfaces represents a challenging problem for contemporary computational chemistry. A detailed analysis of processes occurring on the interface between biomolecule and inorganic material can help our understanding of various processes, ranging from chromatography and protein separation to protein immobilization techniques and their effect on enzyme activity or protein conformational stability. High complexity of bio- inorganic interfaces prevents detailed investigation using accurate, but computationally demanding ab initio methods. Since reliable empirical potentials are not available for these systems, the aim of this work is to develop force fields based on ab initio data as well as a general methodology for parameterization of such force fields. Our potential fitting procedure was carried out in an automated fashion based on molecular dynamics simulation. The resulting potentials were applied for investigation of inorganic material's influence on polypeptide conformations.

Muitos problemas de otimização em ambientes multiagentes utilizam os algoritmos evolutivos para encontrar as melhores soluções. Uma das abordagens mais utilizadas consiste na aplicação de um algoritmo genético, como alternativa aos métodos tradicionais, para definir as ações dos jogadores em um time de futebol de robôs. Entretanto, conforme relatado na literatura, há inúmeras possibilidades e formas de se aplicar um algoritmo genético no domínio do futebol de robôs. Assim sendo, neste trabalho buscou-se realizar uma análise comparativa dos algoritmos genéticos mono-objetivo e multi-objetivo aplicados no domínio do futebol de robôs. O problema padrão escolhido para realizar essa análise foi de desenvolver uma estratégia de controle autônomo, a fim de capacitar que os robôs tomem decisões sem interferência externa, pois, além de sua solução se encontrar ainda em aberto, o mesmo é também de suma relevância para a área de robótica. / Many optimization problems in multiagent environments adapt evolutionary algorithms to find the best solutions. A widely used approach consists of applying a genetic algorithm as an alternative to traditional methods, in order to define the actions of the players on a soccer team of simulated robots. However, as reported in the literature, there are many possibilities and ways to apply a genetic algorithm in the field of robot soccer. Therefore, this work attempts to make a comparative analysis of mono-objective and multi-objective genetic algorithms applied to control a robot soccer. The standard problem chosen for this analysis was to develop a strategy for autonomous control, in order to enable the robots to make decisions without external interference, because in addition to its solution is still open, it is also of utmost relevance to the area robotics.

A mandioca (Manihot esculenta Crantz) é uma das principais culturas do mundo, havendo grande variabilidade genética. As variedades são classificadas com base na palatabilidade e toxicidade das raízes, em mansas ou doces e bravas ou amargas. Apesar da importância, o potencial da mandioca é pouco explorado, não sendo conhecidos, em nível molecular, os elementos determinantes para as suas características. Assim, pretendeu-se identificar, empregando a 2D-PAGE, proteínas que possam estar associadas com as diferenças físico-químicas das raízes tuberosas de variedades de mesa (IAC 576-70 e IAC 06-01), indústria (Cigana Preta, IAC 12 e IAC 90) e de uso misto (Vassourinha Paulista). Após extração de proteínas e separação por 2D-PAGE, as imagens dos géis foram analisadas no programa Delta2D (DECODON), sendo realizada análise estatística utilizando-se ANOVA (p<0,01), Heat Map e Análises de Componentes Principais (ACP) e de Agrupamentos. Os 146 spots de interesse foram removidos dos géis e suas proteínas digeridas e sequenciadas por espectrometria de massas. Algumas proteínas refletiram as características fenotípicas das variedades em estudo, especialmente entre as de mesa e indústria. Pela ACP, foram explicados 54,54% da variabilidade entre as amostras. A primeira componente separou as variedades exclusivamente de mesa de todas as demais, enquanto a segunda separou a IAC 90 de todas as outras, sendo esta caracterizada por um perfil proteico diferente das demais amostras de uso industrial. A IAC 576-70 e a IAC 12 apresentaram alta correlação positiva, assim como, a Vassourinha e a Cigana. A Análise de Agrupamentos corroborou as informações da ACP, revelando que o proteoma das raízes tuberosas refletiu diferenças fenotípicas entre as variedades. / Cassava (Manihot esculenta Crantz) is a main crop with large genetic variability. The varieties are classified according palatability and toxicity of the roots as sweet or bitter cassavas. Despite its importance, little is known about the molecular basis of phenotypic characteristics. Therefore, this study aimed to identify proteins associated to the differences between the sweet (\'IAC 576-70\' e \'IAC 06-01\'), bitter (\'Cigana Preta\', \'IAC 12\' e \'IAC 90\') and the mixed-use (\'Vassourinha Paulista\') varieties by 2D-PAGE. After the protein extraction and separation by 2D-PAGE, the gel images were analyzed through the software Delta 2D (DECODON), and the statistical analysis were performed with ANOVA (p<0,01), Heat Map, Principal Component Analysis (PCA) and Cluster Analysis. The 146 significant spots were removed from the gels, digested and sequenced by mass spectrometry. Some proteins were related to the physico-chemical characteristics of the varieties, especially between the sweet and the bitter. Variability of the samples was explained at the level of 54,54% by the PCA. The first component separated the sweet varieties from all others while the second one separated the \'IAC 90\' from all others. This variety was characterized by a different protein profile among the bitter cassavas. The \'IAC 576-70\' and the \'IAC 12\' were positively correlated, as well as, \'Vassourinha\' and the \'Cigana\'. Cluster Analysis agreed the PCA information, revealing that the proteomes of the tuberous roots reflected phenotypic differences among the varieties.

O aumento na utilização do sistema de gotejamento em grandes culturas como a cana-de-açúcar, visa minimizar perdas hídricas durante o processo de irrigação, principalmente em períodos de escassez hídrica ocorrida no país. Para atingir tal propósito, o dimensionamento correto desse sistema de irrigação é de fundamental importância, viabilizando o manejo adequado e uso de práticas para aplicação de fertilizantes (solutos), via água de irrigação (fertirrigação). Nesse sentido, são necessárias informações um pouco mais precisas sobre a dinâmica da água e dos solutos no solo, os quais estão relacionados com a distribuição desta solução em torno do emissor (gotejador). Assim sendo, o principal objetivo dessa pesquisa consistiu em avaliar o desempenho do modelo HYDRUS-2D nas simulações numéricas da formação do volume de solo molhado sob irrigação por gotejamento subsuperficial, em diferentes fases de desenvolvimento da cultura de cana-de-açúcar (perfilhamento, crescimento dos colmos e maturação), buscando-se comparar os resultados obtidos pelas simulações do modelo com aqueles obtidos em condições experimentais. Para tal, foram coletados dados de umidade volumétrica do solo e das concentrações de potássio no solo, pela Técnica da Reflectometria no Tempo (TDR), tornando possível a obtenção de dados em tempo real da distribuição da solução, como também, auxiliar na avaliação e performance do modelo matemático HYDRUS-2D. Assim sendo, a referida pesquisa foi dividida em duas etapas: Etapa 1) Coleta de dados das propriedades físico-hídricas do solo e da distribuição da água e do potássio mediante um arranjo experimental, distribuído em dois tratamentos, inteiramente casualizados, sendo três repetições e seis parcelas, dispostos da seguinte maneira, Tratamento 1 (T1): sem cultivo de cana-de-açúcar e com emissor de vazão de 4,0 L h-1, Tratamento 2 (T2): com cultivo de cana-de-açúcar, com emissor de vazão 4,0 L h-1 e na Etapa 2) Foi realizada a simulação numérica da distribuição da solução (água e potássio), pelo modelo HYDRUS-2D nos respectivos estágios de desenvolvimento do cultivo da cana-de-açúcar (citados anteriormente). O desempenho do modelo foi avaliado com base nos seguintes parâmetros estatísticos: Raiz do Erro Quadrático Médio (RMSE) e Erro Absoluto Médio (MAE). A partir dos resultados obtidos nos parâmetros estatísticos, os dados estimados pelo modelo HYDRUS-2D obtiveram uma boa concordância em relação aos dados observados do conteúdo de água e da concentração de potássio presente no perfil de solo. Diante disso, pôde-se concluir que o modelo HYDRUS-2D forneceu uma caracterização aceitável do volume de solo molhado nas diferentes fases de desenvolvimento da cana-de-açúcar e também sem a presença da cultura. / Drip irrigation systems are increasingly being used for such major crops as sugarcane to minimize water losses during irrigation. Saving water is becoming more and more important also in Brazil because of increasing water scarcity in the country. Proper design of a drip irrigation system is fundamental to implementation of optimal water and nutrient management practices, including possible application of fertilizers with the irrigation water (fertigation). This in turn requires reliable information about expected water and solute distributions in the soil profile around the emitters (drippers) during and after irrigation The main objective of this research was to use the HYDRUS-2D software package to estimate wetted soil volumes around the drippers during subsurface drip irrigation at different stages of sugarcane development (tillering, stalk growth, maturation), and to compare numerical results with experimental data. Field data collected for this purpose included soil moisture and potassium concentration distributions using Time Domain Reflectometry (TDR). Results made it possible to follow evolving solute concentration distributions around the drippers in real time, and to evaluate the performance of HYDRUS-2D. The research was divided into two steps: Step 1 involved collection of physical and hydraulic data of the soil, as well as of water and potassium distributions by means of a completely randomized experimental arrangement using two treatments, each with three replicates. Treatments 1 and 2 were for the scenarios without and with sugarcane cultivation, with both treatments having a flow emitter rate of 4.0 L h-1. Step 2 involved HYDRUS-2D simulations of the moisture and potassium concentration distributions around the drippers at different stages of sugarcane development. Model performance was evaluated using the following statistical parameters: Mean Squared Error Root (RMSE) and Mean Absolute Error (MAE). From the results obtained in the statistical parameters, HYDRUS-2D predictions obtained a good agreement with the observed data of water content and the potassium concentration in the soil profile. Therefore, it was concluded that HYDRUS-2D model provided an acceptable characterization of the wetted volume at different stages of development of sugarcane and also without the presence of culture.

Les propriétés intrinsèques extraordinaires de ces matériaux de faible dimension dépendent fortement de l'environnement auquel ils sont soumis. Par conséquent, ils doivent être préparés, traités et caractérisés sans défauts. Dans cette thèse, je discute de la manière de contrôler l'environnement des nanomatériaux de faible dimension tels que le graphène, le MoS$_{2}$ et les nanotubes de carbone afin de préserver leurs propriétés physiques intrinsèques. De nouvelles solutions pour l'amélioration des propriétés sont discutées en profondeur. Dans la première partie, nous fabriquons des dispositifs d'hétérostructure à base de graphène de Van der Waals (VdW) de dernière génération, en contact avec les bords, encapsulés dans du nitrure de bore hexagonal (hBN), afin d'obtenir un transport balistique. Nous utilisons une technique basée sur des mesures de bruit 1 / f pour sonder le transport de masse et de bord lors de régimes Quantum Hall entiers et fractionnaires. Dans la deuxième partie, le même concept de fabrication des hétérostructures VdW a été étendu pour encapsuler la couche monocouche MoS $_{2}$ dans le hBN afin d'en modifier les propriétés optiques. À cet égard, nous présentons une étude approfondie sur l'origine et la caractérisation des défauts intrinsèques et extrinsèques et leur incidence sur les propriétés optiques. En outre, nous décrivons une technique pour sonder le couplage entre couches ainsi que la génération de lumière avec une résolution spatiale inférieure à la limite de diffraction de la lumière. Enfin, nous discutons d'un processus systémique naturel visant à améliorer les propriétés mécaniques de la soie polymérique naturelle à l'aide d'une nanotubes de carbone à paroi unique fabriqués par HipCO comme aliment pour le ver à soie. / The extraordinary intrinsic properties of low dimensional materials depend highly on the environment they are subjected to. Hence they need to be prepared, processed and characterized without defects. In this thesis, I discuss about how to control the environment of low dimensional nanomaterials such as graphene, MoS2 and carbon nanotubes to preserve their intrinsic physical properties. Novel solutions for property enhancements are discussed in depth. In the first part, we fabricate state-of-the-art, edge-contacted, graphene Van der Waals(VdW) heterostructuredevices encapsulated in hexagonal-boron nitride(hBN), to obtain ballistic transport. We use a technique based on 1/f-noise measurements to probe bulk and edge transport during integer and fractional Quantum Hall regimes. In the second part, the same fabrication concept of VdW heterostructures has been extended to encapsulate monolayer MoS2 in hBN to improve optical properties. In this regard we present an extensive study about the origin and characterization of intrinsic and extrinsic defects and their affect on optical properties. Further, we describe a technique to probe the interlayer coupling along with the generation of light with spatialresolution below the diffraction limit of light. Finally, we discuss a natural systemic process to enhance the mechanical properties of natural polymer silk using HipCO-made single walled carbon nanotubes as a food for silkworm.

Submitted by admin tede (tede@pucgoias.edu.br) on 2016-11-30T18:10:51Z No. of bitstreams: 1 MARIA ROSA CERBINO.pdf: 2627014 bytes, checksum: 98680184bb60e636de01507e3f1eeec4 (MD5) / Made available in DSpace on 2016-11-30T18:10:51Z (GMT). No. of bitstreams: 1 MARIA ROSA CERBINO.pdf: 2627014 bytes, checksum: 98680184bb60e636de01507e3f1eeec4 (MD5) Previous issue date: 2016-04-12 / Mercury is a potentially toxic element with a wide distribution on the Amazonian environment. This metal is dangerous and responsible for environmental contaminations and human intoxications as it is capable to biomagnifications and bioaccumulate throughout the food chains becoming the main way of exposing the riverine Amazonian communities to methylmercury to whom the main diet is fish. Therefore, studies related to mercury toxicity are of fundamental importance to health and life quality of the Amazonian communities. This study aimed to detect and evaluate possible proteic biomarkers of mercury toxicity in samples of human milk collected in riverine populations of Madeira and Negro rivers in the Brazilian Amazon. Initially total mercury was determined in the hair of breast feeding women to identify who were contaminated with mercury followed by the obtaining of the proteome of milk samples by two-dimensional electrophoresis (2D PAGE) after precipitation of proteins in half acetone. On the proteic spots obtained in the process of protein fractionation of milk samples, detection of mercury was carried out by atomic absorption spectrometry in graphite furnace(GFAAS), where the results showed that mercury was bonded in proteins of molecular weight around 14-26 kDa. The concentration determination of total mercury by GFAAS was also carried out with milk in natura, lyophilized milk and the proteic pellets aiming a mass balance of mercury related to the concentration of this element on milk and pellets. The measurements of mass balance permitted to observe that, in relation to the milk samples from Madeira River, about 85 to 95%of the mercury present in the lyophilized milk is on the proteic fraction. In relation to the breastfeeding women of the Negro River, about 50% of the total mercury is bound in the proteic fraction and the difference of 51% might be bound to the lipidic fraction. However, more studies in this line of research need to be pursued to achieve more robust conclusions. / O mercúrio é um elemento potencialmente tóxico com ampla distribuição no ambiente amazônico. Este metal é perigoso e responsável por contaminações ambientais e intoxicações humanas, já que é capaz de biomagnificar e bioacumular através das cadeias alimentares, tornando-se assim a principal via de exposição às comunidades amazônicas ribeirinhas do metilmercúrio, cuja dieta é baseada em peixes. Sendo assim estudos relacionados à toxicidade do mercúrio são de fundamental importância para a saúde e a qualidade de vida das comunidades amazônicas. Este estudo buscou detectar e avaliar possíveis biomarcadores proteicos da toxicidade do mercúrio em amostras de leite materno coletadas de populações ribeirinhas do rio Madeira e do rio Negro, na Amazônia brasileira. Inicialmente, determinou-se mercúrio total no cabelo das lactantes para identificar quais estavam contaminadas com mercúrio, em seguida obteve-se o proteoma das amostras de leite por eletroforese bidimensional (2D-PAGE) após precipitação das proteínas em meio acetônico. Nos spotsproteicos obtidos no processo de fracionamento das proteínas, nas amostras leite, foram feitas determinações de mercúrio por espectrometria de absorção atômica em forno de grafite (GFAAS), onde os resultados mostraram que o mercúrio se encontra ligado em proteínas de massa molecular na faixa de 14-26 kDa. A determinação da concentração de mercúrio total por GFAAS foi feita também no leite in natura, leite liofilizado e nos pelletsproteicos, com o objetivo de se fazer um balanço de massa de mercúrio em relação à concentração deste elemento no leite e pellets. As medidas de balanço de massa permitiram observar que, em relação às amostras de leite do rio Madeira, cerca de 85 a 95% do mercúrio presente no leite liofilizado encontrase na fração proteica. Em relação às lactantes do rio Negro, cerca de 50% do mercúrio total está ligado na fração proteica e a diferença de 51% pode estar ligado na fração lipídica. Contudo, mais estudos nesta linha de pesquisa devem ser desenvolvidos, para que se possam ter conclusões mais robustas.