965 resultados para country-specific


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In February 2015, when Econet Wireless Zimbabwe Limited, EWZL, the market leader of the telecommunications sector in Zimbabwe, published the financial results, the management team was worried about the shareholders’ reaction. With over 60% market share in its core business (the voice and SMS market), it has achieved remarkable results due to the great diversification strategy. However, the share price was continuously falling due to exogenous factors that were pressuring margins and threatening future sustainability of the company. EWZL was highly exposed to Zimbabwe’s specific risks and regulatory policies. This case explores both the business environment surrounding the company and the strategic decisions necessary to fight against the economic and political challenges. Students will step into Econet’s obstacles by analyzing the strategies and diagnosing the multiple risk factors affecting the profitability of the firm. Furthermore, they will have to compute the valuation of the firm, facing several challenges of a developing country.

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RESUMO - O quadro legislativo de um país, no que concerne aos resíduos hospitalares (RH), contém a sua designação, definição e classificação. É essa a matriz de referência para a separação efectuada na origem e todo o circuito que, a partir desse momento, um determinado resíduo toma até ao seu tratamento. Assim, faz-se o estudo comparativo das definições e tipos de classificação de RH em quatro países da União Europeia: Alemanha, Reino Unido, Espanha (Região Autónoma da Catalunha) e Portugal. Reconhecem-se as diferentes designações deste tipo de resíduos e discute-se o seu significado e as suas implicações na percepção de risco por parte dos profissionais e do público. Identificam-se duas estratégias subjacentes à elaboração das definições: a contaminação de materiais com microrganismos patogénicos bem definidos, as suas fontes e as actividades que os produzem. Apresentam-se as classificações de RH propostas pelos organismos internacionais de referência e analisa-se comparativamente a evolução do enquadramento legal português e da Região Autónoma da Catalunha, evidenciando-se a variabilidade temporal e justificando-se a necessidade de se efectuar o estudo da variabilidade geográfica. Utilizam-se três critérios para a análise das classificações consideradas: a concordância definição-classificação, o número e tipo de grupos das classificações e os tipos de resíduos por grupos. Identificam-se os denominadores comuns às classificações analisadas, assim como as suas principais diferenças. Conclui-se que a definição de RH adoptada por cada país condiciona o tipo de classificação de RH nesse mesmo país. Verifica-se ainda que a inexistência de critérios claros de avaliação da contaminação pode dificultar a tarefa da triagem dos RH por parte dos profissionais de saúde.

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Esta pesquisa foca-se na comunidade imigrante portuguesa em Macau e na comunidade imigrante nepalesa em Portugal. Analisa os usos dos média – étnicos, mainstream e transnacionais - por imigrantes durante o processo de integração: na manutenção de laços com o país de origem e na adaptação à sociedade de acolhimento, em que a língua de acolhimento assume um papel crucial. A investigação enquadra-se nos estudos de audiências e baseia-se na teoria dos Usos e Gratificações dos Média (Katz, Blumler, & Gurevitch, 1974). No que respeita à integração assenta no modelo de estratégias de aculturação de Berry & Sam (2001, 2006). Quanto à língua, assenta na teoria do poder e da prática de Bourdieu (1991), especificamente na parte relativa ao poder simbólico da língua. Quanto à metodologia, foram realizadas oito entrevistas em profundidade na comunidade nepalesa e 29 entrevistas na comunidade portuguesa. A amostra foi de conveniência e teoricamente sustentada. A seguir às entrevistas, foi feita uma análise de conteúdo individual e transversal. Esta tese pretende contribuir para o enriquecimento de linhas de investigação sobre audiências activas dos média. Poderá servir de fonte de informação para políticas relacionadas com a integração de imigrantes, nomeadamente, para reformulação de políticas relacionadas com os média e com a língua de acolhimento. No caso de empresas de comunicação, a informação obtida poderá ser útil para adaptarem melhor os seus conteúdos a este público específico.

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Search is now going beyond looking for factual information, and people wish to search for the opinions of others to help them in their own decision-making. Sentiment expressions or opinion expressions are used by users to express their opinion and embody important pieces of information, particularly in online commerce. The main problem that the present dissertation addresses is how to model text to find meaningful words that express a sentiment. In this context, I investigate the viability of automatically generating a sentiment lexicon for opinion retrieval and sentiment classification applications. For this research objective we propose to capture sentiment words that are derived from online users’ reviews. In this approach, we tackle a major challenge in sentiment analysis which is the detection of words that express subjective preference and domain-specific sentiment words such as jargon. To this aim we present a fully generative method that automatically learns a domain-specific lexicon and is fully independent of external sources. Sentiment lexicons can be applied in a broad set of applications, however popular recommendation algorithms have somehow been disconnected from sentiment analysis. Therefore, we present a study that explores the viability of applying sentiment analysis techniques to infer ratings in a recommendation algorithm. Furthermore, entities’ reputation is intrinsically associated with sentiment words that have a positive or negative relation with those entities. Hence, is provided a study that observes the viability of using a domain-specific lexicon to compute entities reputation. Finally, a recommendation system algorithm is improved with the use of sentiment-based ratings and entities reputation.

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Companies seeking to continue growing and developing need to consider the possibility of international expansion and what that represents to their future. To tackle this challenge it becomes necessary to establish the company’s interests and priorities as well as defining and assessing the foreign market opportunities of a specific industry. This directed research internship proposes and conducts a simulation of the preliminary foreign market assessment and selection within the Juncker Plan: country filtering and ranking having as a frame of reference the second largest construction company in Brazil, Andrade Gutierrez.

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Estimates of terrestrial biomass depend critically on reliable information about the specific gravity of the wood of forest trees. The study reported on here was carried out in the southern Peruvian Amazon and involved collection of wood samples from trees (70 spp.) in intact forest stands. Results demonstrate the high degree of variability in specific gravity (ovendry weight/green volume) in trees at single locations. Three forest types (swamp, high terrace forest with alluvial soil, and sandy-soil forest) had values close to the average reported for tropical forest woods (.69). Two early successional forest types, which make up as much as 12% of the total vegetated area in this part of the Amazon, had values significantly lower (.40). An increase in specific gravity with increasing age of the tree, which has been reported in some spe cies of tropical-forest woods, is seen in a positive relationship between specific gravity and di ameter for a species prevalent in one plot. Increases in specific gravity with tree and forest age may be significant in estimating changes in carbon stores over time.

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Dissertação de mestrado em Português Língua Não Materna (PLNM) – Português Língua Estrangeira (PLE) e Língua Segunda (PL2)

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"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

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Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.

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During the last few years many research efforts have been done to improve the design of ETL (Extract-Transform-Load) systems. ETL systems are considered very time-consuming, error-prone and complex involving several participants from different knowledge domains. ETL processes are one of the most important components of a data warehousing system that are strongly influenced by the complexity of business requirements, their changing and evolution. These aspects influence not only the structure of a data warehouse but also the structures of the data sources involved with. To minimize the negative impact of such variables, we propose the use of ETL patterns to build specific ETL packages. In this paper, we formalize this approach using BPMN (Business Process Modelling Language) for modelling more conceptual ETL workflows, mapping them to real execution primitives through the use of a domain-specific language that allows for the generation of specific instances that can be executed in an ETL commercial tool.

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Today it is easy to find a lot of tools to define data migration schemas among different types of information systems. Data migration processes use to be implemented on a very diverse range of applications, ranging from conventional operational systems to data warehousing platforms. The implementation of a data migration process often involves a serious planning, considering the development of conceptual migration schemas at early stages. Such schemas help architects and engineers to plan and discuss the most adequate way to migrate data between two different systems. In this paper we present and discuss a way for enriching data migration conceptual schemas in BPMN using a domain-specific language, demonstrating how to convert such enriched schemas to a first correspondent physical representation (a skeleton) in a conventional ETL implementation tool like Kettle.

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Studies on nutritional status and leaf traits were carried out in two tropical tree species Swietenia macrophylla King (mahogany) and Dipetryx odorata Aubl. Willd. (tonka bean) planted under contrasting light environments in Presidente Figueiredo-AM, Brazil. Leaves of S. macrophylla and D. odorata were collected in three year-old trees grown under full sunlight (about 2000 µmol m-2 s-1) and natural shade under a closed canopy of Balsa-wood plantation (Ochroma pyramidale Cav. Ex. Lam.Urb) about 260 µmol m-2 s-1. The parameters analysed were leaf area (LA), leaf dry mass (LDM), specific leaf area (SLA) and leaf nutrient contents. It was observed that, S. macrophylla leaves grown under full sunlight showed LA 35% lower than those grown under shade. In D. odorata leaves these differences in LA were not observed. In addition, it was observed that S. macrophylla shade leaves, for LDM, were 50% smaller than sun leaves, while in D. odorata, there differences were not observed. SLA in S. macrophylla presented that sun leaves were three times smaller than those grown under shade. In D. odorata, no differences were observed. Nutrient contents in S. macrophylla, regardless of their light environments, showed higher contents for P and Ca than those found in D. odorata. The N, K, Fe and Mn contents in S. macrophylla leaves decreased under shade. Finally, we suggest that the decreasing in leaf nutrient contents may have a negative influence on leaf growth. The results demonstrated that the tested hypothesis is true for leaf traits, which D. odorata, late-successional species, showed lower plasticity for leaf traits than Swietenia macrophylla, mid-successional species.

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Tese de Doutoramento em Ciências da Administração

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Tese de Doutoramento em Ciências da Comunicação (área de especialização em Comunicação Estratégica e Organizacional).

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Dissertação de mestrado em Economia Monetária, Bancária e Financeira