958 resultados para MAGNETIZATION STEPS
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A presente dissertação apresenta o resultado de uma pesquisa realizada, através da recolha de dados, nos distritos do Porto e Aveiro, onde foram analisados os fatores determinantes do (in)sucesso estratégico de clínicas/gabinetes (CG) particulares com a valência de terapia da fala (TF). Inicia com a apresentação de algumas considerações conceptuais relativas à empresa, organização e inovação. De seguida, são descritos os principais passos a dar em Portugal para a constituição de uma empresa e é feita uma abordagem aos temas da viabilidade estratégica de um projeto e do conceito de plano de negócios. A parte teórica do presente projeto de investigação encerra com os fatores de sucesso e insucesso empresarial descritos na literatura. Neste trabalho, procura-se analisar as principais determinantes de sobrevivência das novas empresas ligadas à área da TF. Para tal, procedeu-se à recolha de dados junto de proprietários e/ou gestores de CG particulares com TF, nos distritos de Porto e Aveiro, selecionados a partir da base de dados da Entidade Reguladora da Saúde (ERS), das Páginas Amarelas Online e da Internet com as palavraschave: “clínicas, gabinetes, terapia da fala”. Os resultados estatisticamente tratados e analisados evidenciam a importância dos seguintes fatores como estatisticamente significativos para o sucesso de uma CG privada com TF nos distritos de Porto e Aveiro: maior antiguidade da CG, maior número de utentes, de concorrentes e de TF a trabalhar, assim como a realização de rastreios na área da TF. Fatores como: proprietário com formação na área da gestão, maior número de valências, publicidade e acessibilidades na CG, parecem contribuir para o aumento das hipóteses de sobrevivência de CG particulares com TF nos distritos de Porto e Aveiro, ainda que não sejam estatisticamente significativos. Em contrapartida, a falta de um plano de negócios parece ser um fator que influencia o insucesso destas CG.
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Dissertação de Mestrado em Finanças Empresariais
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This study analyzed the influence of different speeds on ground reaction force’s (GRF), impulses and mean vertical force during gait of people submitted to occasional overload (backpack). A force plate was used to record the GRF data of 60 young adult subjects walking in two different cadences: 69 steps/min (slow gait) and 120 steps/min (fast gait). During the slow gait, the impact and propulsive impulses of vertical GRF, propulsive impulse of anterior-posterior GRF, impulse of medial-lateral GRF and duration of stance phase were larger than during the fast gait; the mean vertical force was the only variable that showed larger values during fast gait. Therefore, slow gait may present a larger possibility of blister development and gait unbalance, while the fast gait, even presenting a small impulse, seems to be more harmful to the musculoskeletal system.
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Storm- and tsunami-deposits are generated by similar depositional mechanisms making their discrimination hard to establish using classic sedimentologic methods. Here we propose an original approach to identify tsunami-induced deposits by combining numerical simulation and rock magnetism. To test our method, we investigate the tsunami deposit of the Boca do Rio estuary generated by the 1755 earthquake in Lisbon which is well described in the literature. We first test the 1755 tsunami scenario using a numerical inundation model to provide physical parameters for the tsunami wave. Then we use concentration (MS. SIRM) and grain size (chi(ARM), ARM, B1/2, ARM/SIRM) sensitive magnetic proxies coupled with SEM microscopy to unravel the magnetic mineralogy of the tsunami-induced deposit and its associated depositional mechanisms. In order to study the connection between the tsunami deposit and the different sedimentologic units present in the estuary, magnetic data were processed by multivariate statistical analyses. Our numerical simulation show a large inundation of the estuary with flow depths varying from 0.5 to 6 m and run up of similar to 7 m. Magnetic data show a dominance of paramagnetic minerals (quartz) mixed with lesser amount of ferromagnetic minerals, namely titanomagnetite and titanohematite both of a detrital origin and reworked from the underlying units. Multivariate statistical analyses indicate a better connection between the tsunami-induced deposit and a mixture of Units C and D. All these results point to a scenario where the energy released by the tsunami wave was strong enough to overtop and erode important amount of sand from the littoral dune and mixed it with reworked materials from underlying layers at least 1 m in depth. The method tested here represents an original and promising tool to identify tsunami-induced deposits in similar embayed beach environments.
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The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.
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Energy resource scheduling becomes increasingly important, as the use of distributed resources is intensified and massive gridable vehicle use is envisaged. The present paper proposes a methodology for dayahead energy resource scheduling for smart grids considering the intensive use of distributed generation and of gridable vehicles, usually referred as Vehicle- o-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with V2G owners. It takes into account these contracts, the user´s requirements subjected to the VPP, and several discharge price steps. Full AC power flow calculation included in the model allows taking into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33 bus distribution network and V2G is used to illustrate the good performance of the proposed method.
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We describe a novel, low-cost and low-tech method for the fabrication of elastomeric Janus particles with diameters ranging from micrometers to millimeters. This consists of UV-irradiating soft urethane/urea elastomer spheres, which are then extracted in toluene and dried. The spheres are thus composed of a single material: no coating or film deposition steps are required. Furthermore, the whole procedure is carried out at ambient temperature and pressure. Long, labyrinthine corrugations ("wrinkles") appear on the irradiated portions of the particles' surfaces, the spatial periodicity of which can be controlled by varying the sizes of particles. The asymmetric morphology of the resulting Janus particles has been confirmed by scanning electron microscopy, atomic force microscopy, and optical microscopy. We have also established that the spheres behave elastically by performing bouncing tests with dried and swollen spheres. Results can be interpreted by assuming that each sphere consists of a thin, stiff surface layer ("skin") lying atop a thicker, softer substrate ("bulk"). The skin's higher stiffness is hypothesized to result from the more extensive cross-linking of the polymer chains located near the surface by the UV radiation. Textures then arise from competition between the effects of bending the skin and compressing the bulk, as the solvent evaporates and the sphere shrinks.
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Introduction: The present paper deals with the issue of the increasing usage of corporation mergers and acquisitions strategies within pharmaceutical industry environment. The aim is to identify the triggers of such business phenomenon and the immediate impact on the financial outcome of two powerful biopharmaceutical corporations: Pfizer and GlaxoSmithKline, which have been sampled due to their successful approach of the tactics in question. Materials and Methods: In order to create an overview of the development steps through mergers and acquisitions, the historical data of the two corporations has been consulted, from their official websites. The most relevant events were then associated with adequate information from the financial reports and statements of the two corporations indulged by web-based financial data providers. Results and Discussions: In the past few decades Pfizer and GlaxoSmithKline have purchased or merged with various companies in order to monopolize new markets, diversify products and services portfolios, survive and surpass competitors. The consequences proved to be positive although this approach implies certain capital availability. Conclusions: Results reveal the fact that, as far as the two sampled companies are concerned, acquisitions and mergers are reactions at the pressure of the highly competitive environment. Moreover, the continuous diversification of the market’s needs is also a consistent motive. However, the prevalence and the eminence of mergers and acquisition strategies are conditioned by the tender offer, the announcer’s caliber, research and development status and further other factors determined by the internal and external actors of the market.
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Dissertação apresentada à Escola Superior de Educação de Lisboa Para a obtenção do Grau de Mestre em Ciências da Educação - Especialidade Supervisão em Educação
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A análise biomecânica da marcha engloba, entre outros, dados cinemáticos, cinéticos e sinais electromiográficos, que, em conjunto, promovem a descrição do fenómeno da marcha. Neste trabalho é efectuada uma revisão dos estudos existentes que versam sobre os aspectos biomecânicos da marcha, de forma a perceber-se os componentes a ter em consideração na referida análise, bem como os modelos comuns que suportam achados experimentais. A análise efectuada permitiu verificar que a necessidade de redirecção da velocidade do centro de massa entre passos prediz um forte componente do dispêndio energético na marcha e que este, por sua vez, está associado à velocidade.
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This paper presents a methodology supported on the data base knowledge discovery process (KDD), in order to find out the failure probability of electrical equipments’, which belong to a real electrical high voltage network. Data Mining (DM) techniques are used to discover a set of outcome failure probability and, therefore, to extract knowledge concerning to the unavailability of the electrical equipments such us power transformers and high-voltages power lines. The framework includes several steps, following the analysis of the real data base, the pre-processing data, the application of DM algorithms, and finally, the interpretation of the discovered knowledge. To validate the proposed methodology, a case study which includes real databases is used. This data have a heavy uncertainty due to climate conditions for this reason it was used fuzzy logic to determine the set of the electrical components failure probabilities in order to reestablish the service. The results reflect an interesting potential of this approach and encourage further research on the topic.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Mestrado em Controlo e Gestão dos Negócios
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Dissertação apresentada à Escola Superior de Educação para a obtenção do Grau de Mestre em Ciências da Educação, especialidade em Supervisão em Educação
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Mestrado em Auditoria