983 resultados para Industrial Clusters
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We report the observation of urchin-like nanostructures consisting of high-density spherical nanotube radial arrays of vanadium oxide nanocomposite, successfully synthesized by a simple chemical route using an ethanolic solution of vanadium tri-isopropoxide and alkyl amine hexadecylamine for 7 days at 180oC. The results show that the growth process of the NanoUrchin occurs in stages, starting with a radial self-organized arrangement of lamina followed by the rolling of the lamina into nanotubes. The longest nanotubes are measured to be several micrometers in length with diameters of ~120 nm and hollow centers typically measured to be ~75 nm. The NanoUrchin have an estimated density of nanotubes of ~40 sr-1. The tube walls comprise layers of vanadium oxide with the organic surfactant intercalated between atomic layers. The interlayer distance is measured to be 2.9 ± 0.1 nm and electron diffraction identified the vanadate phase in the VOx nanocomposite as orthorhombic V2O5. These nanostructures may be used as three-dimensional composite materials and as supports for other materials.
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Marine sponges (phylum Porifera) are the oldest extant metazoan animals on earth and host large populations of symbiotic microbes: Bacteria, Archaea and unicellular Eukaryota. Those microbes play ecological functions which are essential to the health of the host including carbon, nitrogen and sulfur cycling as well as host defence through the production of bioactive secondary metabolites which protect against infection and predation. The diversity of sponge-associated microbes is remarkable with thousands of OTUs reported from individual sponge species. Amongst those populations are sponge-specific microbes which may be specific to sponges or specific to sponge species. While marine natural product discovery concerns many animal phyla, Porifera account for the largest proportion of novel compounds. Evidence suggests that many of these compounds are the products of symbiotic microbes. Descriptions of sponge-associated microbial community structures have been advanced by the development of next-generation sequencing technologies while the discovery and exploitation of sponge derived bioactive compounds has increased due to developments in sequence-based and function-based metagenomics. Here, we use pyrosequencing to describe the bacterial communities associated with two shallow, temperate water sponges (Raspailia ramosa and Stelligera stuposa) from Irish coastal waters and to describe the bacterial and archaeal communities of a single sponge species (Inflatella pellicula) from two different depths in deep waters in the Atlantic Ocean, including at a depth of 2900m, a depth far greater than that of any previous sequence-based sponge-microbe investigation. We identified diverse microbial communities in all sponges and the presence of sponge-specific taxa recruiting to previously described and novel spongespecific clusters. We also identified archaeal communities which dominated sponge-microbe communities. We demonstrate that sponge-associated microbial communities differ from seawater communities indicating host selection processes. We used sequence-based metagenomic techniques to identify genes of potential industrial and pharmacological interest in the metagenomes of various sponge species and functionbased metagenomic screening in an attempt to identify lipolytic and antibacterial activities from metagenomic clones from the metagenome of the marine sponge Stelletta normani. In addition we have cultured diverse bacterial species from sponge tissues, many of which display antimicrobial activities against clinically relevant bacterial and yeast test strains. Other isolates represent novel species in the genus Maribacter and require emendments to the description of that genus.
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Metal oxide clusters of sub-nm dimensions dispersed on a metal oxide support are an important class of catalytic materials for a number of key chemical reactions, showing enhanced reactivity over the corresponding bulk oxide. In this paper we present the results of a density functional theory study of small sub-nm TiO2 clusters, Ti2O4, Ti3O6 and Ti4O8 supported on the rutile (110) surface. We find that all three clusters adsorb strongly with adsorption energies ranging from -3 eV to -4.5 eV. The more stable adsorption structures show a larger number of new Ti-O bonds formed between the cluster and the surface. These new bonds increase the coordination of cluster Ti and O as well as surface oxygen, so that each has more neighbours. The electronic structure shows that the top of the valence band is made up of cluster derived states, while the conduction band is made up of Ti 3d states from the surface, resulting in a reduction of the effective band gap and spatial separation of electrons and holes after photon absorption, which shows their potential utility in photocatalysis. To examine reactivity, we study the formation of oxygen vacancies in the cluster-support system. The most stable oxygen vacancy sites on the cluster show formation energies that are significantly lower than in bulk TiO2, demonstrating the usefulness of this composite system for redox catalysis.
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To screen for novel ribosomally synthesised antimicrobials, in-silico genome mining was performed on all publically available fully sequenced bacterial genomes. 49 novel type 1 lantibiotic clusters were identified from a number of species, genera and phyla not usually associated with lantibiotic production, and indicates high prevalence. A crucial step towards the commercialisation of fermented beverages is the characterisation of the microbial content. To achieve this goal, we applied next-generation sequencing techniques to analyse the bacterial and yeast populations of the organic, symbiotically-fermented beverages kefir, water kefir and kombucha. A number of minor components were revealed, many of which had not previously been associated with these beverages. The dominant microorganism in each of the water kefir grains and fermentates was Zymomonas, an ethanol-producing bacterium that had not previously been detected on such a scale. These studies represent the most accurate description of these populations to date, and should aid in future starter design and in determining which species are responsible for specific attributes of the beverages. Finally, high-throughput robotics was applied to screen for the presence of antimicrobial producers associated with these beverages. This revealed a low frequency of bacteriocin production amongst the bacterial isolates, with only lactococcins A, B and LcnN of lactococcin M being identified. However, a proteinaceous antimicrobial produced by the yeast Dekkera bruxellensis, isolated from kombucha, was found to be active against Lactobacillus bulgaricus. This peptide was patially purified.
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The apparel industry is one of the oldest and largest export industries in the world, with global trade and production networks that connect firms and workers in countries at all levels of economic development. This chapter examines the impact of the North American Free Trade Agreement (NAFTA) as one of the most recent and significant developments to affect patterns of international trade and production in the apparel and textile industries. Tr ade policies are changing the institutional environment in which firms in this industry operate, and companies are responding to these changes with new strategies designed to increase their profitability and strengthen their control over the apparel commodity chain. Our hypothesis is that lead firms are establishing qualitatively different kinds of regional production networks in North America from those that existed prior to NAFTA, and that these networks have important consequences for industrial upgrading in the Mexican textile and apparel industries. Post-NAFTA crossborder production arrangements include full-package networks that link lead firms in the United States with apparel and textile manufacturers, contractors, and suppliers in Mexico. Full-package production is increasing the local value added provided by the apparel commodity chain in Mexico and creating new opportunities for Mexican firms and workers. The chapter is divided into four main sections. The first section uses trade and production data to analyze shifts in global apparel flows, highlighting the emergence and consolidation of a regional trade bloc in North America. The second section discusses the process of industrial upgrading in the apparel industry and introduces a distinction between assembly and full-package production networks. The third section includes case studies based on published industry sources and strategic interviews with several lead companies whose strategies are largely responsible for the shifting trade patterns and NAFTA-inspired cross-border production networks discussed in the previous section. The fourth section considers the implications of these changes for employment in the North American apparel industry. © 2009 by Temple University Press. All rights reserved.
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El genotipo (G), el ambiente (A) y la interacción G x A pueden influir de manera diferente sobre las característica que definen la calidad comercial e industrial de trigo pan. Los objetivos de esta tesis fueron: 1) Caracterizar el rendimiento y a sus componentes en cultivares de trigo pertenecientes a diferentes grupos de calidad, expuestos a ofertas de nitrógeno contrastantes. 2) Estudiar el impacto de distinta disponibilidad de nitrógeno sobre los componentes fisiológicos del llenado de los granos (i.e tasa y duración) en distintaas variedades de trigo pan y su posible efecto sobre los parámetros de calidad. 3) Caracterizar y cuantificar la interacción genotipo por ambiente sobre la expresión de los parámetros que determinan el rendimiento y la calidad comercial e industrial del trigo pan en ambientes con diferentes disponibilidades de nitrógeno. Se realizaron ensayos en dos localidades, durante dos años, utilizando seis variedades de distinta aptitud panadera (2 de cada grupo de clasificación por grupo de calidad -GC-), aplicando cuatro tratamientos de fertilización nitrogenadas. Se evaluó el efecto genético, ambiental y la interacción G x A, sobre el rendimiento y sus componentes, el peso de los granos y sus componentes y sobre los parámetros de calidad comercial e industrial. Los resultados mostraron que el rendimiento y sus componentes (número de granos, biomasa aérea, eficiencia de uso de la radiación interceptada acumulada) fueron afectados principalmente por el ambiente y el manejo nutricional dentro de de cada ambiente. Para el peso de los granos y sus componentes (tasa y duración) el efecto del manejo del nitrógeno no fue importante, aunque sí lo fue el efecto genotipo. Para los parámetros de calidad el efecto genotipo fue más importante solo para la tenacidad, mientras que el peso hectolítrico, gluten húmedo, fuerza panadera, la relación de equilibrio (P/L) y volumen de pan fueron modificados principalmente por el efecto ambiente no manejable como son el año y la localidad, en tanto la proteína fue afectada principalmente por el factor ambiental asociado al manejo nutricional. La interacción GxA fue el efecto que explicó en mayor medida las variaciones de rendimiento de harina, absorción de agua y tiempo de amasado. La fuerte interacción GxA observada para la mayoría de los parámetros de calidad determinó que variedades de un determinado GC cambien de grupo asociado principalmente a factores ambientales como la localidad y el año, mientras que el manejo nutricional tuvo un impacto menor
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p.45-53
Resumo:
El genotipo (G), el ambiente (A)y la interacción G x A pueden influir de manera diferente sobre las característica que definen la calidad comercial e industrial de trigo pan. Los objetivos de esta tesis fueron: 1)Caracterizar el rendimiento y a sus componentes en cultivares de trigo pertenecientes a diferentes grupos de calidad, expuestos a ofertas de nitrógeno contrastantes. 2)Estudiar el impacto de distinta disponibilidad de nitrógeno sobre los componentes fisiológicos del llenado de los granos (i.e tasa y duración)en distintaas variedades de trigo pan y su posible efecto sobre los parámetros de calidad. 3)Caracterizar y cuantificar la interacción genotipo por ambiente sobre la expresión de los parámetros que determinan el rendimiento y la calidad comercial e industrial del trigo pan en ambientes con diferentes disponibilidades de nitrógeno. Se realizaron ensayos en dos localidades, durante dos años, utilizando seis variedades de distinta aptitud panadera (2 de cada grupo de clasificación por grupo de calidad -GC-), aplicando cuatro tratamientos de fertilización nitrogenadas. Se evaluó el efecto genético, ambiental y la interacción G x A, sobre el rendimiento y sus componentes, el peso de los granos y sus componentes y sobre los parámetros de calidad comercial e industrial. Los resultados mostraron que el rendimiento y sus componentes (número de granos, biomasa aérea, eficiencia de uso de la radiación interceptada acumulada)fueron afectados principalmente por el ambiente y el manejo nutricional dentro de de cada ambiente. Para el peso de los granos y sus componentes (tasa y duración)el efecto del manejo del nitrógeno no fue importante, aunque sí lo fue el efecto genotipo. Para los parámetros de calidad el efecto genotipo fue más importante solo para la tenacidad, mientras que el peso hectolítrico, gluten húmedo, fuerza panadera, la relación de equilibrio (P/L)y volumen de pan fueron modificados principalmente por el efecto ambiente no manejable como son el año y la localidad, en tanto la proteína fue afectada principalmente por el factor ambiental asociado al manejo nutricional. La interacción GxA fue el efecto que explicó en mayor medida las variaciones de rendimiento de harina, absorción de agua y tiempo de amasado. La fuerte interacción GxA observada para la mayoría de los parámetros de calidad determinó que variedades de un determinado GC cambien de grupo asociado principalmente a factores ambientales como la localidad y el año, mientras que el manejo nutricional tuvo un impacto menor
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p.93-102
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In the analysis of industrial processes, there is an increasing emphasis on systems governed by interacting continuum phenomena. Mathematical models of such multi-physics processes can only be achieved for practical simulations through computational solution procedures—computational mechanics. Examples of such multi-physics systems in the context of metals processing are used to explore some of the key issues. Finite-volume methods on unstructured meshes are proposed as a means to achieve efficient rapid solutions to such systems. Issues associated with the software design, the exploitation of high performance computers, and the concept of the virtual computational-mechanics modelling laboratory are also addressed in this context.
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We report on practical experience using the Oxford BSP Library to parallelize a large electromagnetic code, the British Aerospace finite-difference time-domain code EMMA T:FD3D. The Oxford BS Library is one of the first realizations of the Bulk Synchronous Parallel computational model to be targeted at numerically intensive scientific (typically Fortran) computing. The BAe EMMA code is one of the first large-scale applications to be parallelized using this library, and it is an important demonstration of the cost effectiveness of the BSP approach. We illustrate how BSP cost-modelling techniques can be used to predict and optimize performance for single-source programs across different parallel platforms. We provide predicted and observed performance figures for an industrial-strength, single-source parallel code for a variety of real parallel architectures: shared memory multiprocessors, workstation clusters and massively parallel platforms.
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The parallelization of existing/industrial electromagnetic software using the bulk synchronous parallel (BSP) computation model is presented. The software employs the finite element method with a preconditioned conjugate gradient-type solution for the resulting linear systems of equations. A geometric mesh-partitioning approach is applied within the BSP framework for the assembly and solution phases of the finite element computation. This is combined with a nongeometric, data-driven parallel quadrature procedure for the evaluation of right-hand-side terms in applications involving coil fields. A similar parallel decomposition is applied to the parallel calculation of electron beam trajectories required for the design of tube devices. The BSP parallelization approach adopted is fully portable, conceptually simple, and cost-effective, and it can be applied to a wide range of finite element applications not necessarily related to electromagnetics.
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This paper presents an Eulerian-based numerical model of particle degradation in dilute-phase pneumatic conveying systems including bends of different angles. The model shows reasonable agreement with detailed measurements from a pilot-sized pneumatic conveying system and a much larger scale pneumatic conveyor. The potential of the model to predict degradation in a large-scale conveying system from an industrial plant is demonstrated. The importance of the effect of the bend angle on the damage imparted to the particles is discussed.
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The extent and gravity of the environmental degradation of the water resources in Dhaka due to untreated industrial waste is not fully recognised in international discourse. Pollution levels affect vast numbers, but the poor and the vulnerable are the worst affected. For example, rice productivity, the mainstay of poor farmers, in the Dhaka watershed has declined by 40% over a period of ten years. The study found significant correlations between water pollution and diseases such as jaundice, diarrhoea and skin problems. It was reported that the cost of treatment of one episode of skin disease could be as high as 29% of the weekly earnings of some of the poorest households. The dominant approach to deal with pollution in the SMEs is technocratic. Given the magnitude of the problem this paper argues that to control industrial pollution by SMEs and to enhance their compliance it is necessary to move from the technocratic approach to one which can also address the wider institutional and attitudinal issues. Underlying this shift is the need to adopt the appropriate methodology. The multi-stakeholder analysis enables an understanding of the actors, their influence, their capacity to participate in, or oppose change, and the existing and embedded incentive structures which allow them to pursue interests which are generally detrimental to environmental good. This enabled core and supporting strategies to be developed around three types of actors in industrial pollution, i.e., (i) principal actors, who directly contribute to industrial pollution; (ii) stakeholders who exacerbate the situation; and (iii) potential actors in mitigation. Within a carrot-and-stick framework, the strategies aim to improve environmental governance and transparency, set up a packet to incentive for industry and increase public awareness.