Speak Good English Movement in Singapore : Reactions in Social and Traditional Media

The first Speak Good English Movement, SGEM, took place in 2000, and has been organized annually ever since. Speaking a “standard” form of English is considered to bring increased personal power. However, the SGEM wants the Singaporeans to use “standard” English in their private life as well. A decade after the beginning of the campaign, a Speak Good Singlish Movement was started. Based on studies of language and identity, it is understandable why some Singaporeans might feel the SGEM threatens their identity. However, the reactions towards the campaign are mainly positive. For the purposes of this analysis, Twitter messages, Facebook pages, and newspaper articles from The Straits Times were collected. The SGEM has hailed both direct and indirect praise and criticism in both social and traditional media: Five newspaper articles praise the campaign while five criticize it; the results are nine and seven respectively for social media. This thesis looks at reactions towards the SGEM in both social and traditional media, analyzes how these reactions might relate to the ideas of the power of language, its variety and the relation of language and identity.

From a traditional academic library to a modern learning environment : Dalarna University Library - expectations and results

This report describes the ideas and vision behind Dalarna University's award-winning library in Falun. A description of the planning and construction processes and an evaluation of the final outcome are presented together with experiences and observations drawn from the project.

Utilizando conceitos como descritores de textos para o processo de identificação de conglomerados (clustering) de documentos

A descoberta e a análise de conglomerados textuais são processos muito importantes para a estruturação, organização e a recuperação de informações, assim como para a descoberta de conhecimento. Isto porque o ser humano coleta e armazena uma quantidade muito grande de dados textuais, que necessitam ser vasculhados, estudados, conhecidos e organizados de forma a fornecerem informações que lhe dêem o conhecimento para a execução de uma tarefa que exija a tomada de uma decisão. É justamente nesse ponto que os processos de descoberta e de análise de conglomerados (clustering) se insere, pois eles auxiliam na exploração e análise dos dados, permitindo conhecer melhor seu conteúdo e inter-relações. No entanto, esse processo, por ser aplicado em textos, está sujeito a sofrer interferências decorrentes de problemas da própria linguagem e do vocabulário utilizado nos mesmos, tais como erros ortográficos, sinonímia, homonímia, variações morfológicas e similares. Esta Tese apresenta uma solução para minimizar esses problemas, que consiste na utilização de “conceitos” (estruturas capazes de representar objetos e idéias presentes nos textos) na modelagem do conteúdo dos documentos. Para tanto, são apresentados os conceitos e as áreas relacionadas com o tema, os trabalhos correlatos (revisão bibliográfica), a metodologia proposta e alguns experimentos que permitem desenvolver determinados argumentos e comprovar algumas hipóteses sobre a proposta. As conclusões principais desta Tese indicam que a técnica de conceitos possui diversas vantagens, dentre elas a utilização de uma quantidade muito menor, porém mais representativa, de descritores para os documentos, o que torna o tempo e a complexidade do seu processamento muito menor, permitindo que uma quantidade muito maior deles seja analisada. Outra vantagem está no fato de o poder de expressão de conceitos permitir que os usuários analisem os aglomerados resultantes muito mais facilmente e compreendam melhor seu conteúdo e forma. Além do método e da metodologia proposta, esta Tese possui diversas contribuições, entre elas vários trabalhos e artigos desenvolvidos em parceria com outros pesquisadores e colegas.

An evolving possibilistic fuzzy modeling approach for value-at-risk estimation

Market risk exposure plays a key role for nancial institutions risk management. A possible measure for this exposure is to evaluate losses likely to incurwhen the price of the portfolio's assets declines using Value-at-Risk (VaR) estimates, one of the most prominent measure of nancial downside market risk. This paper suggests an evolving possibilistic fuzzy modeling approach for VaR estimation. The approach is based on an extension of the possibilistic fuzzy c-means clustering and functional fuzzy rule-based modeling, which employs memberships and typicalities to update clusters and creates new clusters based on a statistical control distance-based criteria. ePFM also uses an utility measure to evaluate the quality of the current cluster structure. Computational experiments consider data of the main global equity market indexes of United States, London, Germany, Spain and Brazil from January 2000 to December 2012 for VaR estimation using ePFM, traditional VaR benchmarks such as Historical Simulation, GARCH, EWMA, and Extreme Value Theory and state of the art evolving approaches. The results show that ePFM is a potential candidate for VaR modeling, with better performance than alternative approaches.

Sensory aspects of liquid smoking of giant river prawn: comparison with traditional smoking

P>The purpose of this paper is to investigate the impact of liquid smoke on the sensory characteristics of giant river prawn (Macrobrachium rosenbergii). The sensorial profile was plotted using quantitative descriptive analysis and assessment of the acceptability of samples of beheaded and peeled and only beheaded freshwater prawns smoked using the traditional method or liquid smoke (LS). The prawns subjected to LS were characterised by their aroma, artificial flavour and bitter flavour. The beheaded, peeled prawns were found to be more acceptable, confirming that the presence of the shell is a limiting factor in the acceptability of smoked prawns.

Causas de variação nos preços de bovinos nelore elite no Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Uma Aplicação do Algoritmo QT Clustering para Marcação Colaborativa de Pontos Perigosos em Vias Públicas

This work proposes a collaborative system for marking dangerous points in the transport routes and generation of alerts to drivers. It consisted of a proximity warning system for a danger point that is fed by the driver via a mobile device equipped with GPS. The system will consolidate data provided by several different drivers and generate a set of points common to be used in the warning system. Although the application is designed to protect drivers, the data generated by it can serve as inputs for the responsible to improve signage and recovery of public roads

Hybrid evolutionary algorithm for the Capacitated Centered Clustering Problem

The Capacitated Centered Clustering Problem (CCCP) consists of defining a set of p groups with minimum dissimilarity on a network with n points. Demand values are associated with each point and each group has a demand capacity. The problem is well known to be NP-hard and has many practical applications. In this paper, the hybrid method Clustering Search (CS) is implemented to solve the CCCP. This method identifies promising regions of the search space by generating solutions with a metaheuristic, such as Genetic Algorithm, and clustering them into clusters that are then explored further with local search heuristics. Computational results considering instances available in the literature are presented to demonstrate the efficacy of CS. (C) 2010 Elsevier Ltd. All rights reserved.