930 resultados para Analysis tools
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Complex networks have been increasingly used in text analysis, including in connection with natural language processing tools, as important text features appear to be captured by the topology and dynamics of the networks. Following previous works that apply complex networks concepts to text quality measurement, summary evaluation, and author characterization, we now focus on machine translation (MT). In this paper we assess the possible representation of texts as complex networks to evaluate cross-linguistic issues inherent in manual and machine translation. We show that different quality translations generated by NIT tools can be distinguished from their manual counterparts by means of metrics such as in-(ID) and out-degrees (OD), clustering coefficient (CC), and shortest paths (SP). For instance, we demonstrate that the average OD in networks of automatic translations consistently exceeds the values obtained for manual ones, and that the CC values of source texts are not preserved for manual translations, but are for good automatic translations. This probably reflects the text rearrangements humans perform during manual translation. We envisage that such findings could lead to better NIT tools and automatic evaluation metrics.
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We consider the issue of performing residual and local influence analyses in beta regression models with varying dispersion, which are useful for modelling random variables that assume values in the standard unit interval. In such models, both the mean and the dispersion depend upon independent variables. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. An application using real data is presented and discussed.
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Coconut water is a natural isotonic, nutritive, and low-caloric drink. Preservation process is necessary to increase its shelf life outside the fruit and to improve commercialization. However, the influence of the conservation processes, antioxidant addition, maturation time, and soil where coconut is cultivated on the chemical composition of coconut water has had few arguments and studies. For these reasons, an evaluation of coconut waters (unprocessed and processed) was carried out using Ca, Cu, Fe, K, Mg, Mn, Na, Zn, chloride, sulfate, phosphate, malate, and ascorbate concentrations and chemometric tools. The quantitative determinations were performed by electrothermal atomic absorption spectrometry, inductively coupled plasma optical emission spectrometry, and capillary electrophoresis. The results showed that Ca, K, and Zn concentrations did not present significant alterations between the samples. The ranges of Cu, Fe, Mg, Mn, PO (4) (3-) , and SO (4) (2-) concentrations were as follows: Cu (3.1-120 A mu g L(-1)), Fe (60-330 A mu g L(-1)), Mg (48-123 mg L(-1)), Mn (0.4-4.0 mg L(-1)), PO (4) (3-) (55-212 mg L(-1)), and SO (4) (2-) (19-136 mg L(-1)). The principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied to differentiate unprocessed and processed samples. Multivariated analysis (PCA and HCA) were compared through one-way analysis of variance with Tukey-Kramer multiple comparisons test, and p values less than 0.05 were considered to be significant.
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Background: Human infection by the pork tapeworm Taenia solium affects more than 50 million people worldwide, particularly in underdeveloped and developing countries. Cysticercosis which arises from larval encystation can be life threatening and difficult to treat. Here, we investigate for the first time the transcriptome of the clinically relevant cysticerci larval form. Results: Using Expressed Sequence Tags (ESTs) produced by the ORESTES method, a total of 1,520 high quality ESTs were generated from 20 ORESTES cDNA mini-libraries and its analysis revealed fragments of genes with promising applications including 51 ESTs matching antigens previously described in other species, as well as 113 sequences representing proteins with potential extracellular localization, with obvious applications for immune-diagnosis or vaccine development. Conclusion: The set of sequences described here will contribute to deciphering the expression profile of this important parasite and will be informative for the genome assembly and annotation, as well as for studies of intra- and inter-specific sequence variability. Genes of interest for developing new diagnostic and therapeutic tools are described and discussed.
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Tuberculosis (TB) is one of the most common infectious diseases known to man and responsible for millions of human deaths in the world. The increasing incidence of TB in developing countries, the proliferation of multidrug resistant strains, and the absence of resources for treatment have highlighted the need of developing new drugs against TB. The shikimate pathway leads to the biosynthesis of chorismate, a precursor of aromatic amino acids. This pathway is absent from mammals and shown to be essential for the survival of Mycobacterium tuberculosis, the causative agent of TB. Accordingly, enzymes of aromatic amino acid biosynthesis pathway represent promising targets for structure-based drug design. The first reaction in phenylalanine biosynthesis involves the conversion of chorismate to prephenate, catalyzed by chorismate mutase. The second reaction is catalyzed by prephenate dehydratase (PDT) and involves decarboxylation and dehydratation of prephenate to form phenylpyruvate, the precursor of phenylalanine. Here, we describe utilization of different techniques to infer the structure of M. tuberculosis PDT (MtbPDT) in solution. Small angle X-ray scattering and ultracentrifugation analysis showed that the protein oligomeric state is a tetramer and MtbPDT is a flat disk protein. Bioinformatics tools were used to infer the structure of MtbPDT A molecular model for MtbPDT is presented and molecular dynamics simulations indicate that MtbPDT i.s stable. Experimental and molecular modeling results were in agreement and provide evidence for a tetrameric state of MtbPDT in solution.
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This work aims at combining the Chaos theory postulates and Artificial Neural Networks classification and predictive capability, in the field of financial time series prediction. Chaos theory, provides valuable qualitative and quantitative tools to decide on the predictability of a chaotic system. Quantitative measurements based on Chaos theory, are used, to decide a-priori whether a time series, or a portion of a time series is predictable, while Chaos theory based qualitative tools are used to provide further observations and analysis on the predictability, in cases where measurements provide negative answers. Phase space reconstruction is achieved by time delay embedding resulting in multiple embedded vectors. The cognitive approach suggested, is inspired by the capability of some chartists to predict the direction of an index by looking at the price time series. Thus, in this work, the calculation of the embedding dimension and the separation, in Takens‘ embedding theorem for phase space reconstruction, is not limited to False Nearest Neighbor, Differential Entropy or other specific method, rather, this work is interested in all embedding dimensions and separations that are regarded as different ways of looking at a time series by different chartists, based on their expectations. Prior to the prediction, the embedded vectors of the phase space are classified with Fuzzy-ART, then, for each class a back propagation Neural Network is trained to predict the last element of each vector, whereas all previous elements of a vector are used as features.
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This study aims to investigate the important indicators that contribute to happiness among Beijing residence. The residents of Beijing were taken as the target population for the survey. A questionnaire was used as the main statistical instrument to collect the data from the residents in Beijing. In so doing the investigation employs Factor analyses and chi-square analyses as the main statistical tools used for the analyses in this research. The study found that Beijing residents gained greater happiness in the family, interpersonal relationships, and health status. The analysis also shows that generally, the residence of Beijing feels happier and also in terms of gender basis, females in Beijing feel happier as compare to their male counterpart. It will find that gender, age and education are statistically significant when dealing with happiness.
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In a northern European climate a typical solar combisystem for a single family house normally saves between 10 and 30 % of the auxiliary energy needed for space heating and domestic water heating. It is considered uneconomical to dimension systems for higher energy savings. Overheating problems may also occur. One way of avoiding these problems is to use a collector that is designed so that it has a low optical efficiency in summer, when the solar elevation is high and the load is small, and a high optical efficiency in early spring and late fall when the solar elevation is low and the load is large.The study investigates the possibilities to design the system and, in particular, the collector optics, in order to match the system performance with the yearly variations of the heating load and the solar irradiation. It seems possible to design practically viable load adapted collectors, and to use them for whole roofs ( 40 m2) without causing more overheating stress on the system than with a standard 10 m2 system. The load adapted collectors collect roughly as much energy per unit area as flat plate collectors, but they may be produced at a lower cost due to lower material costs. There is an additional potential for a cost reduction since it is possible to design the load adapted collector for low stagnation temperatures making it possible to use less expensive materials. One and the same collector design is suitable for a wide range of system sizes and roof inclinations. The report contains descriptions of optimized collector designs, properties of realistic collectors, and results of calculations of system output, stagnation performance and cost performance. Appropriate computer tools for optical analysis, optimization of collectors in systems and a very fast simulation model have been developed.
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A organização do trabalho constitui-se a partir da caracterização de sua estrutura e dos respectivos impactos do desempenho de papéis profissionais. O relacionamento interpessoal no ambiente de trabalho reflete o grau de participação e colaboração dos indivíduos. Os indivíduos diferem uns dos outros pelas suas atitudes em relação a um trabalho "estimulante" ou não. O valor prático do estudo, busca analisar o grau de satisfação I insatisfação dos indivíduos em relação a si próprios e em relação a empresa. Também foi feito um estudo das abordagens motivacionais e suas ligações com os indivíduos acima citados. A maior parte dos autores que contribuíram ao desenvolvimento dos temas considerados neste estudo parecem ter querido conciliar dois imperativos: aumentar a rendimento dos trabalhadores e elevar o seu nível de satisfação no trabalho (este segundo imperativo foi reformulado recentemente em termos de melhora da qualidade de vida no trabalho). Ainda no corpo do trabalho foram apresentados resultados da pesquisa realizada e discutidas algumas das abordagens motivacionais, com a finalidade de fundamentar teoricamente a questão principal que é a forma de administração da empresa o que se trata de satisfação I motivação na empresa TREE TOOLS, escolhida como agente deste estudo de caso.
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With the constant decrease of the wine consumption in traditional winemaking countries, more and more Brazil is seen as an appealing market. But the country also pretends to become an international player of winemaking in its own right. Both the participants of the Brazilian wine industry and the foreigners trying to get advantage of this promising market are facing new challenges to develop the consumption of wine in the world’s fifth largest country. Among all the possible actions to be taken in that sense, it also is worth taking time for a collective thought on the place of wine in the country, as well as the factors that shape it. What are these factors, which ones really make the difference, and what is their respective impact on the evolution of the place of wine in the country? After drawing the big picture of the wine market situation, this thesis tries to identify the levers of the evolution of the place of wine in Brazil. Using the tools of prospective, it aims at putting into perspective the different driving forces that influence its development, and in particular the relative influence of the political drivers. This paper also intends to be a first step of a prospective study as it constitutes a solid base for scenario planning. This paper is divided in five chapters starting with “introduction”, followed by chapter 2 “Theoretical framework”. Chapter 3 is “Methodology”, followed by chapter 4 “Description and analysis of the results”. Finally the results are discussed and concluded in the last part “Conclusions and implications for future studies”.
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With the increasing importance of digital communication and its distinct characteristics, marketing tools and strategies adopted by companies have changed dramatically. Among the many digital marketing tools and new media channels available for marketers, the phenomenon known as social media is one of the most complex and enigmatic. It has a range that still is quite unexplored and deeply transforms the present view on the promotion mix (Mangold & Faulds, 2009). Conversations among users on social media directly affect their perceptions on products, services and brands. But more than that, a wide range of other subjects can also become topics of conversations on social media. Hit songs, sporting events, celebrity news and even natural disasters and politics are topics that often become viral on the web. Thus, companies must grasp that, and in order to become more interesting and relevant, they must take part in these conversations inserting their brands in these online dynamic dialogues. This paper focuses on how these social interactions are manifested in the web in to two distinct cultures, Brazil and China. By understanding the similarities and differences of these cultures, this study helps firms to better adjust its marketing efforts across regions, targeting and positioning themselves, not only geographically and culturally, but also across different web platforms (Facebook and RenRen). By examining how companies should focus their efforts according to each segment in social media, firms can also maximize its results in communication and mitigate risks. The findings suggest that differences in cultural dimensions in these two countries directly affect their virtual social networking behavior in many dimensions (Identity, Presence, Relationships, Reputation, Groups, Conversations and Sharing). Accordingly, marketing efforts must be tailored to each comportment and expectations.
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No Brasil, o mercado de crédito corporativo ainda é sub-aproveitado. A maioria dos participantes não exploram e não operam no mercado secundário, especialmente no caso de debêntures. Apesar disso, há inúmeras ferramentas que poderiam ajudar os participantes do mercado a analisar o risco de crédito e encorajá-los a operar esses riscos no mercado secundário. Essa dissertação introduz um modelo livre de arbitragem que extrai a Perda Esperada Neutra ao Risco Implícita nos preços de mercado. É uma forma reduzida do modelo proposto por Duffie and Singleton (1999) e modela a estrutura a termo das taxas de juros através de uma Função Constante por Partes. Através do modelo, foi possível analisar a Curva de Perda Esperada Neutra ao Risco Implícita através dos diferentes instrumentos de emissores corporativos brasileiros, utilizando Títulos de Dívida, Swaps de Crédito e Debêntures. Foi possível comparar as diferentes curvas e decidir, em cada caso analisado, qual a melhor alternativa para se tomar o risco de crédito da empresa, via Títulos de Dívida, Debêntures ou Swaps de Crédito.
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The term “social entrepreneurship” has been attracting growing interest from different sectors in the past years, driven by the possibility of employing business techniques to tackle recurrent social and environmental issues. At the forefront of this global phenomenon is microcredit, seen by many as an effective anti-poverty tool and having the Grameen Bank as its flagship program. While the prospects of social entrepreneurship seem promising, the newness of the concept and its somewhat confusing definition make conditions difficult to analyze this contemporary phenomenon. Therefore, the objective of this study was to discuss the challenges faced by social entrepreneurs and alternatives of development for social businesses through a case study on a Brazilian microcredit institution and inclusive business, Banco Pérola. The case addresses a growing need for case studies designed for teaching in the field of social entrepreneurship. It was focused mainly on understanding the development challenges within Banco Pérola, and built based on interviews carried out with top management, credit officer and clients of the institution, as well as on secondary data collected. An analysis of the case study was performed under a Teaching Notes. As illustrated by the Banco Pérola case, the main difficulties encountered by social entrepreneurs relate to the systematization of processes and creation of operational routines, including for performance evaluation (impact assessment tools); to the capture and management of both financial and human capital; to scaling up the business model and to the need of forging closer and more personal relationships with customers as against in traditional banking practices. In spite of certain limitations, such as the fact that the case might soon become outdated due to the fast-changing environment surrounding Banco Pérola, or the fact that not all relevant stakeholders (e.g. partners) were selected for interviews, the research objective has been achieved and the study can be seen as a contribution to spreading the concept of social entrepreneurship.
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This research aimed to apply the sociometric theory and its methodology to create an integrated multicultural work team. The study focused on the application of the sociometry theory, developed by Jacob L. Moreno in 1934, to analyze the small multicultural group. In the beginning, a review of the literature was done to have a better understanding of Sociometric Theory as well as the modern tools and software developed to analyze and map the social networks. After this part of the study, the qualitative study was done, in which 26 students from 12 countries, which studied together in a Corporate International Master (2014-2015), developed by Georgetown University’s McDonough School of Business, Corporate Master of Business Administration from ESADE Business School and FGV/EBAPE, were surveyed and asked them to choose people, among the selected group, who they attracted, rejected or they were neutral towards, in 4 different scenarios: work team, leadership, trip (leisure time) and personal problem. Additionally, there were, two questions asked about how they felt when they answered the survey and which question(s) was/were difficult to answer and why. The focus on these two questions was to understand the emotional state of the respondents when they answered the survey and related this emotional state to the Sociometric Theory. The sociometric matrix, using Microsoft Excel, was created using the answers and the total of the positive, negative and neutral choices were analyzed for each scenario as well as the mutualities and incongruences of the choices. Furthermore, the software Kumu was used to analyze the connections between the people in the selected group using three metrics: size, degree centrality and indegree. Also Kumu was used to draw the social maps or sociometric maps. Using the relationship level analyses of the sociometric matrix and maps, it was possible to create an integrated multicultural work team. In the end, the results obtained suggest that it is possible to apply the sociometric methodology to study the relationships inside companies, project teams and work teams and identify the best work team based on the interrelationship between the people as well as the lack of communication among the team members, project team or inside the company as a whole.
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Disfunções envolvendo o sistema nervoso são de grande importância na Medicina Veterinária, pois tratam-se de enfermidades de elevada incidência e com poucos subsídios auxiliares no seu diagnóstico, prognóstico e na avaliação de terapias empregadas. Ainda hoje, o diagnóstico baseia-se, em grande parte, no histórico e no exame clínico neurológico. Dessa forma, a análise dos constituintes do fluido cefalorraquidiano torna-se uma das poucas alternativas de acesso clínico ao sistema nervoso central (SNC). Mesmo com a grande utilidade do exame físico-químico e citoscópico do liquor na neurologia veterinária, poucos são os estudos sobre a estabilidade dos seus constituintes sob estocagem. Dessa forma, o presente trabalho teve como finalidade verificar a influência da temperatura e do tempo de conservação nas características físico-químicas do liquor de cães hígidos. Para tanto, foram coletadas amostras de LCR, através da punção da cisterna cerebelo-medular de cães clinicamente sadios, as quais foram submetidas à análise da densidade específica, do pH, da glicorraquia, das proteínas totais e das atividades das enzimas creatina quinase (CK) e aspartato aminotransferase (AST), após conservá-las em diferentes temperaturas (25°C, 4°C e -4°C) e por diferentes períodos de tempo (logo após a colheita, 24 horas, 48 horas, uma semana e um mês). Dentre os resultados obtidos, foi possível verificar, principalmente, que houve estabilidade dos parâmetros estudados por até um mês de estocagem nas amostras mantidas sob a temperaturas de congelamento de -4°C.