917 resultados para model-based clustering


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Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.

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Science4you, a Portuguese developer, producer and seller of scientific and educational toys, leveraged the worldwide growth of this category to successfully expand its operations abroad. Following a recent entry into the United States market, the purpose of this report is to help the company define the next step in its international expansion. A customized scoring model, based on a set of relevant macro and micro-criteria was developed for Anglo-Saxon and Asian countries, yielding Canada as the market with the highest potential. The recommended entry mode is direct exporting via an independent distributor, being complemented with a financial and risk analysis.

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Frutaformas is a Portuguese micro-enterprise, specialized in the production of premium dehydrated-fruit, an emerging snack category fostered by the increasing trend for healthier alimentary habits in developed countries. The relatively small size of the domestic market and the growing competition led Frutaformas to consider Europe as an attractive for export market. A scoring model based on a set of macro and micro-level criteria suggested the United Kingdom as the preferential target country at this stage. Recommendations on the entry mode and the associated risks were elaborated taking into account the country and industry analysis as well as Frutaformas’ unique organizational platform.

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At a time of global economic instability, to which Portugal is not oblivious, and aware that the main source of Portuguese State revenue relies on the collection of tribute, the National Republican Guard holds within its mission relevant assignments to the protection of the financial interests of the country, in particular, fiscal and customs. These assignments were inherited from the century - old institution Guarda Fiscal - with evidence given in this domain, which was integrated into the National Republican Guard in 1993, to adopt, a 1St model, that held a specialized unit – Brigada Fiscal, with surveillance and patrolling missions of costa and fiscal and customs supervision, throughout the national territory and maritime zone of respect. In 2009, the result of political decisions, reorganization the State's central administration, appears de 2Nd model, because the Brigada Fiscal assignments were divided by two specialized units - UAF with investigation skills, and UCC for patrolling and surveillance of the coast. Analyzed the legal spectrum of special legislation leading the criminal and transgression sector punitive (RGIT), in essence, is in the UAF that resides the role assignments from the scope of the investigation and supervision of goods in the national territory on a par with the tax authority. Tax inspection assignments, fiscal and customs of the National Republican Guard, are unmatched in the National Tribute System, constituting itself as a potentiality of this special body, in similarity of their counterparts - Spain and Italy; however, have some constraints, that urge to clarify and repair. Foreseeing the future, face the announced news of a new restructuring, on behalf of the interests of the country, and in order to raise the quality of performance of the tax inspection, fiscal and customs, the National Republican Guard shall maintain a model based on the experience already accumulated, obviously adapted to the new demands of a changing society. Despite the current model gain in efficiency, loses in effectiveness. However, the efficiency of a model, without the necessary resources, can never bring “the letter to Garcia” against any kind of infringements, criminal or transgressions. Unless better opinion, both tax structures of the National Republican Guard are valid as an instrument for the prevention and combat of these illegal types. Because they are strategic in pursuing the public interest, given the scarce resources of the country and be the National Republican Guard, the force with the means and know-how of this nature. The political power has the final word.

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The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the paper. The authors would like to thank Dr. Elaine DeBock for reviewing the manuscript.

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The present paper reports the precipitation process of Al3Sc structures in an aluminum scandium alloy, which has been simulated with a synchronous parallel kinetic Monte Carlo (spkMC) algorithm. The spkMC implementation is based on the vacancy diffusion mechanism. To filter the raw data generated by the spkMC simulations, the density-based clustering with noise (DBSCAN) method has been employed. spkMC and DBSCAN algorithms were implemented in the C language and using MPI library. The simulations were conducted in the SeARCH cluster located at the University of Minho. The Al3Sc precipitation was successfully simulated at the atomistic scale with the spkMC. DBSCAN proved to be a valuable aid to identify the precipitates by performing a cluster analysis of the simulation results. The achieved simulations results are in good agreement with those reported in the literature under sequential kinetic Monte Carlo simulations (kMC). The parallel implementation of kMC has provided a 4x speedup over the sequential version.

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Programa Doutoral em Matemática e Aplicações.

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Tese de Doutoramento em Biologia Ambiental e Molecular

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Relatório de estágio de mestrado em Ciências da Comunicação (área de especialização em Publicidade e Relações Públicas)

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Dissertação de mestrado em Direito Administrativo (área de especialização em Emprego Público)

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Natural mineral waters (still), effervescent natural mineral waters (sparkling) and aromatized waters with fruit-flavors (still or sparkling) are an emerging market. In this work, the capability of a potentiometric electronic tongue, comprised with lipid polymeric membranes, to quantitatively estimate routinely quality physicochemical parameters (pH and conductivity) as well as to qualitatively classify water samples according to the type of water was evaluated. The study showed that a linear discriminant model, based on 21 sensors selected by the simulated annealing algorithm, could correctly classify 100 % of the water samples (leave-one out cross-validation). This potential was further demonstrated by applying a repeated K-fold cross-validation (guaranteeing that at least 15 % of independent samples were only used for internal-validation) for which 96 % of correct classifications were attained. The satisfactory recognition performance of the E-tongue could be attributed to the pH, conductivity, sugars and organic acids contents of the studied waters, which turned out in significant differences of sweetness perception indexes and total acid flavor. Moreover, the E-tongue combined with multivariate linear regression models, based on sub-sets of sensors selected by the simulated annealing algorithm, could accurately estimate waters pH (25 sensors: R 2 equal to 0.99 and 0.97 for leave-one-out or repeated K-folds cross-validation) and conductivity (23 sensors: R 2 equal to 0.997 and 0.99 for leave-one-out or repeated K-folds cross-validation). So, the overall satisfactory results achieved, allow envisaging a potential future application of electronic tongue devices for bottled water analysis and classification.

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Boost pressure, egr, cylinder pressure, ecu, model based control strategy, diesel engine

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The primary purpose of this exploratory empirical study is to examine the structural stability of a limited number of alternative explanatory factors of strategic change. On the basis of theoretical arguments and prior empirical evidence from two traditional perspectives, we propose an original empirical framework to analyse whether these potential explanatory factors have remained stable over time in a highly turbulent environment. This original question is explored in a particular setting: the population of Spanish private banks. The firms of this industry have experienced a high level of strategic mobility as a consequence of fundamental changes undergone in their environmental conditions over the last two decades (mainly changes related to the new banking and financial regulation process). Our results consistently support that the effect of most explanatory factors of strategic mobility considered did not remain stable over the whole period of analysis. From this point of view, the study sheds new light on major debates and dilemmas in the field of strategy regarding why firms change their competitive patterns over time and, hence, to what extent the "contextdependency" of alternative views of strategic change as their relative validation can vary over time for a given population. Methodologically, this research makes two major contributions to the study of potential determinants of strategic change. First, the definition and measurement of strategic change employing a new grouping method, the Model-based Cluster Method or MCLUST. Second, in order to asses the possible effect of determinants of strategic mobility we have controlled the non-observable heterogeneity using logistic regression models for panel data.

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We propose a model based on competitive markets in order to analyze an economy with several principals and agents. We model the principal-agent economy as a two-sided matching game and characterize the set of stable outcomes of this principal-agent matching market. A simple mechanism to implement the set of stable outcomes is proposed. Finally, we put forward examples of principal-agent economies where the results fit into.

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This paper applies the so-called Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) to the economy of the Spanish region of Catalonia. By applying Georgescu-Roegen's fund-flow model, it arrives at the conclusion that within a context of the end of cheap oil, the current development model based on the growth of low productivity sectors such as services and construction must change. The change is needed not only because of the increasing scarcity of affordable energy carriers, or because of the increasing environmental impact that the present development represents, but also because of an ageing population that demands labour productivity gains. This will imply industry requiring more energy consumption per worker in order to increase its productivity, and therefore its competitiveness. Thus, we conclude that energy intensity, and exosomatic energy metabolism of Catalonia will increase dramatically in the near future unless major conservation efforts are implemented in both the household and transport sectors.