1000 resultados para percepções de suporte


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Environmental degradation is a global problem that particularly affects areas subject to seasonal climatic variations, such as the brazilian semiarid region, namely the Caatinga Domain. Combined with other negative factors, such as natural resource misuse and disorderly land occupation, the consequences of Environmental Degradation have challenged science in the quest for addressing the resulting social and environmental problems. Accordingly, Environmental Perception methodology, by analyzing the concepts, attitudes and values, (especially those pertaining to environmental conservation) represent an important tool in studies that address the relationship between the environment and human actions. Sustainability Indicators are also relevant tools to assess the possible causes and consequences of environmental problems. Among several Sustainability Indicators available, the PressuresState-Impact-Response (PSIR) method is an analytical tool that permits the grouping of factors affecting sustainability as well as their consequences for nature and human health, and thus indicate mitigating actions for society and the public authorities. From this perspective, three areas of Caatinga were studied in Rio Grande do Norte state: Seridó Ecological Station (ESEC), Municipality of Serra Negra do Norte; Private Natural Reserve Stoessel de Brito (PNRSB), Municipality of Jucurutu; and part of the Serra de Santana, Municipality of Tenente Laurentino Cruz. The areas are both legally protected and unprotected and subject to diferent management protocols, though their share the common characteristic of human misuse of natural resources. In this scenario, this thesis´ main goal was to introduce the rural communities into the conservation process, using the results of Environmental Perception of such communities, combined with the analysis of the sustainability of municipalities through PSIR. Information on Environmental Perception was obtained from primary and secondary data from previous studies carried out in the ESEC Seridó and PRNP Stoessel de Brito. Additional data was obtained through direct observation and interview forms applied to rural communities in the Municipality of Tenente Laurentino Cruz. The results showed that respondents possessed a broad knowledge regarding environmental degradation, its causes and consequences for the caatinga biome. PEIR analysis showed that environmental degradation was smaller in countries with protected areas, as compared to those without. The population´s knowledge about environmental degradation and their acceptance of conservation units, as showed by Environmental Perception Analysis, coupled with the results of PEIR, suggest that those attitudes may foster actions aimed at reduction of environmental degradation in the Caatinga domain

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The developed study proposes a new computer modeling efficient and easy to apply in usual project situations to evaluate the interaction between masonry panels and support structure. The proposed model simulates the behavior of the wall exclusively using frame finite elements, thus compounding an equivalent frame. The validation was performed in two ways: firstly, through the analysis of various panels of generic plans, comparing the results obtained from equivalent frame model with the ones from a reference model, which uses shell finite elements in discretization of the walls; and in a second step, comparing with the results of the experimental model of Rosenhaupt. The analyzes considered the linear elastic behavior for materials and consisted basically in the evaluation of vertical displacements and efforts in support beams, and tensions at the base of walls. Was also evaluated, from flat and threedimensional modeling of some walls from a real project, important aspects of the wall-beam interaction, e.g.: the presence of openings of doors and windows, arranged in any position; conditions of support and linking of beams; interference of moorings between walls; and consideration of wind action. The analysis of the achieved results demonstrated the efficiency of the proposed modeling, since they have very similar aspects in the distribution of stresses and efforts, always with intensities slightly larger than those of the reference and experimental models.

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Business tourism is one of tourist segments with different market characteristics in relation to others segmentations, such as low seasonality, there is no requirement of natural attractions, it serves as destination projection and it generates profitable larger numbers. Due to the context around business travels, the hotel so many times has a fundamental whole among the elements of the production chain in this segmentation. Business tourism in Teresina is the primary segmentation of the capital, since it represents almost 70% of hotel demand; hence this research has as objective to evaluate through the perceptions of business travelers, the level of quality services of hotels of Teresina. The research is exploratory and descriptive, of functionalist character. This study is characterized by qualitative and quantitative research, supported by a basis of methodological pluralism. For primary data collection was performed applying a suitable research instrument of SERVPERF model (Service Performance). The universe of this study were Teresina's accommodations, restricted to only those that fit in hotel category and it was inside metropolitan area of Teresina. The study subjects were business travelers who were hosted in these hotels. For the analysis, it was considered certain factors: descriptive analysis, factor analysis, correlation matrix analysis of the variables; It was still compiling a graphic of lexicons obtained in the survey about respondent's the notion of quality of vision in the hotel service; Finally, qualitative analysis was based on the theories of marketing, targeting and quality of tourism services applied. The results show that the Teresina hotel service is on a regular average, especially for Reliability and Safety dimensions were highlighted. Whereas, the factor analysis showed the emergence of two factors to explain "Empathy" dimension, one of this is about the organization and the other one is about consumer. And by Lexicometria was possible to observe the importance to the customer of other variables such as: personal aspects, price and location for this tour segmentation.

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The work of Caio Fernando Abreu has a very vast and impressive thematic horizon , which is usually the core of the papers on the work of this author . This paper proposes to understand this characteristic of a more intricate point of view : perceive and analyze how the work of the author builds itself thematically , but mainly textually . I n other words , as the text enacts his own writing . From this it is noticeable how the text of Abreu plays with some senses through textual constructions that do not impose directly sense to the reader . Thus, the research sees in the chosen corpus , the collection Os dragões não conhecem o paraíso ( 2014 ), the neutral as proposed by the French essayist Roland Barthes (2003 a ). This neutral is understood by Barthes as a possibility to suspend the paradigms that constitute the sense, what exactly justifies the noticeable game in the work of Abreu . This game , to Roland Barthes , is precisely the literature. If the paradigm involves transforming the language , and all language expressions, in a way to propagate ideologies , the literature does not escape this fate . In order to escape this fate , you must fight the language internally ; we must play wit h the language . The neutral is the possibility of the game. Thus , the study sought neutral in Caio Fernando Abreu short stories , presenting it and analyzing it through " figures" which, for Barthes , is a way of perceiving the neut ral through texts , but not in a prescriptive manner. It was proposed , in the analysis , then understand the " Subjectivities ", the " Default ", the " Body " and " Disease " , for example, as possibilities of the game . Finally , in many Abreu’s work instances , the neutral is achieved by textual operations that are not in themselves neutral , but which achieve a " neutral effect ", which explains the game , the literature, in the texts of Caio Fernando Abreu .

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In this paper we propose a class for introducing the probability teaching using the game discs which is based on the concept of geometric probability and which is supposed to determine the probability of a disc randomly thrown does not intercept the lines of a gridded surface. The problem was posed to a group of 3nd year of the Federal Institute of Education, Science and Technology of Rio Grande do Norte - Jo~ao C^amara. Therefore, the students were supposed to build a grid board in which the success percentage of the players had been previously de ned for them. Once the grid board was built, the students should check whether that theoretically predetermined percentage corresponded to reality obtained through experimentation. The results and attitude of the students in further classes suggested greater involvement of them with discipline, making the environment conducive for learning.

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In this paper we propose a class for introducing the probability teaching using the game discs which is based on the concept of geometric probability and which is supposed to determine the probability of a disc randomly thrown does not intercept the lines of a gridded surface. The problem was posed to a group of 3nd year of the Federal Institute of Education, Science and Technology of Rio Grande do Norte - Jo~ao C^amara. Therefore, the students were supposed to build a grid board in which the success percentage of the players had been previously de ned for them. Once the grid board was built, the students should check whether that theoretically predetermined percentage corresponded to reality obtained through experimentation. The results and attitude of the students in further classes suggested greater involvement of them with discipline, making the environment conducive for learning.

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The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end the hyperplane that maximizes the distance between the groups, to increase the generalization of the classifier. In this work, we treated some problems of binary classification of data obtained by electroencephalography (EEG) and electromyography (EMG) using Support Vector Machine with some complementary techniques, such as: Principal Component Analysis to identify the active regions of the brain, the periodogram method which is obtained by Fourier analysis to help discriminate between groups and Simple Moving Average to eliminate some of the existing noise in the data. It was developed two functions in the software R, for the realization of training tasks and classification. Also, it was proposed two weights systems and a summarized measure to help on deciding in classification of groups. The application of these techniques, weights and the summarized measure in the classier, showed quite satisfactory results, where the best results were an average rate of 95.31% to visual stimuli data, 100% of correct classification for epilepsy data and rates of 91.22% and 96.89% to object motion data for two subjects.

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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

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A presente investigação de tese de mestrado em gestão cultural tem como objetivo propor um projeto de intervenção contemporânea no Mosteiro de Santa Maria da Vitória – Batalha, onde realizei o meu estágio. O contexto arquitetónico, espacial, cultural e social como suporte da prática artística, assim como a consciência e tentativa de criação de intimidade entre um monumento gótico e um objeto artístico contemporâneo são o fio condutor deste projeto. Também tem a intenção de entender qual a importância deste género de projetos no património e na sua gestão e dinamização. Enquanto projeto, foi proposto a dois artistas plásticos contemporâneos a conceção de uma instalação artística através de uma abordagem ao lugar no seu contexto arquitetónico, histórico e também social: a perceção do espaço, assim como a desmistificação da experiência dos artistas no monumento surgem como a ilustração que inicia a proposta prática deste projeto. Desta forma, procuro o envolvimento de profissionais da gestão cultural, e das artes plásticas num processo colaborativo em que cada saber é operacionalizado dialogicamente. O Mosteiro da Batalha ganha um carater de instalação experimental relevando diferentes fazeres num todo definido coletivamente; o espetador torna-se parte integrante da obra. A experiência sensorial dos artistas no Mosteiro da Batalha é a base de todo o desenvolvimento do processo construtivo da obra, no final pretende-se criar um diálogo entre o monumento e a arte contemporânea, respeitando-se mutuamente. Com o tema O monumento gótico como suporte da prática artística contemporânea pretende-se desenvolver um estudo em especial sobre o Mosteiro de Santa Maria da Vitória e intervenções site-specific nesse contexto espacial em duas perspetivas, de um lado do artista e do outro da gestão do património. Será também uma reflexão acerca da arte contemporânea como expoente simbólico do lugar.

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Denomina-se geração um conjunto de indivíduos da mesma idade. Seus filhos caracterizariam uma nova geração e assim sucessivamente, em recortes temporais, social e biologicamente justificados de 25 anos. Acreditava-se que os membros da mesma geração, embora apresentassem diferenças típicas dos grupos socioeconômicos e culturais nos quais se inseriam, teriam hábitos, comportamentos e aspirações semelhantes. As gerações trariam consigo as marcas do seu tempo. Contudo, em razão do avanço exponencial da tecnologia, sobretudo de comunicação, informação e transporte, estima-se que novas gerações sejam formadas em intervalos temporais cada vez menores, criando considerável diversidade na percepção sobre papel, atitude e comprometimento no ambiente de trabalho, entre líderes e liderados, sendo esta diferença tida como fonte potencial de conflitos. Este artigo visa identificar as diferentes percepções acerca dos atributos, percepções e valores de cada geração. Trata-se de uma pesquisa exploratória, apoiada na aplicação de questionários via redes sociais. Os resultados mostram diferenças discretas entre as gerações, o que não é indicativo de conflito. Foi observado que o comprometimento e a fidelidade ao trabalho mantem-se inalteradas como um valor percebido pelos profissionais.

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PEDRINI, Aldomar; SZOKOLAY, Steven. Recomendações para o desenvolvimento de uma ferramenta de suporte às primeiras decisões projetuais visando ao desempenho energético de edificações de escritório em clima quente. Ambiente Construído, Porto Alegre, v. 5, n. 1, p.39-54, jan./mar. 2005. Trimestral. Disponível em: . Acesso em: 04 out. 2010.