805 resultados para Knowledge Discovery in Databases
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Pós-graduação em Educação - FFC
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ABSTRACT: Methanogenic archaeans are organisms of considerable ecological and biotechnological interest that produce methane through a restricted metabolic pathway, which culminates in the reaction catalyzed by the Methyl-coenzyme M reductase (Mcr) enzyme, and results in the release of methane. Using a metagenomic approach, the gene of the a subunit of mcr (mcrα) was isolated from sediment sample from an anoxic zone, rich in decomposing organic material, obtained from the Tucuruí hydroelectric dam reservoir in eastern Brazilian Amazonia. The partial nucleotide sequences obtained were 83 to 95% similar to those available in databases, indicating a low diversity of archaeans in the reservoir. Two orders were identified -the Methanomicrobiales, and a unique Operational Taxonomic Unit (OTU) forming a clade with the Methanosarcinales according to low bootstrap values. Homology modeling was used to determine the three-dimensional (3D) structures, for this the partial nucleotide sequence of the mcrα were isolated and translated on their partial amino acid sequences. The 3D structures of the archaean mcrα observed in the present study varied little, and presented approximately 70% identity in comparison with the mcrα of Methanopyrus klanderi. The results demonstrated that the community of methanogenic archaeans of the anoxic C1 region of the Tucurui reservoir is relatively homogeneous.
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A automação na gestão e análise de dados tem sido um fator crucial para as empresas que necessitam de soluções eficientes em um mundo corporativo cada vez mais competitivo. A explosão do volume de informações, que vem se mantendo crescente nos últimos anos, tem exigido cada vez mais empenho em buscar estratégias para gerenciar e, principalmente, extrair informações estratégicas valiosas a partir do uso de algoritmos de Mineração de Dados, que comumente necessitam realizar buscas exaustivas na base de dados a fim de obter estatísticas que solucionem ou otimizem os parâmetros do modelo de extração do conhecimento utilizado; processo que requer computação intensiva para a execução de cálculos e acesso frequente à base de dados. Dada a eficiência no tratamento de incerteza, Redes Bayesianas têm sido amplamente utilizadas neste processo, entretanto, à medida que o volume de dados (registros e/ou atributos) aumenta, torna-se ainda mais custoso e demorado extrair informações relevantes em uma base de conhecimento. O foco deste trabalho é propor uma nova abordagem para otimização do aprendizado da estrutura da Rede Bayesiana no contexto de BigData, por meio do uso do processo de MapReduce, com vista na melhora do tempo de processamento. Para tanto, foi gerada uma nova metodologia que inclui a criação de uma Base de Dados Intermediária contendo todas as probabilidades necessárias para a realização dos cálculos da estrutura da rede. Por meio das análises apresentadas neste estudo, mostra-se que a combinação da metodologia proposta com o processo de MapReduce é uma boa alternativa para resolver o problema de escalabilidade nas etapas de busca em frequência do algoritmo K2 e, consequentemente, reduzir o tempo de resposta na geração da rede.
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There has been a great advance in the pharmacognosy field, which has increased the use of medicinal plants by health professionals and practitioners of folk medicine. This systematic review explored the history and the present day application of phytotherapeutic medicines. We searched the databases Cochrane Library, Embase, Lilacs, PubMed, Scielo and a specialized bibliography. We concluded that there are many therapeutic potentialities in the use of phytotherapeutic medicines and medicinal plants. We also concluded that despite the increasing number of publications in the field each year, there is still a lack of reviews and meta-analyses that could promote a better integration of the knowledge produced. In addition, research about pharmacological interactions and multidisciplinary studies may promote a quicker and safer process from the workbench up to the clinical trials.
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Pós-graduação em Ciência da Computação - IBILCE
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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It highlights the innovation importance in the current society and presents innovation indicators applied in 125 countries. We made an analysis in the 80 variables distributed through seven GII pillars, trying to identify the direct, indirect or null incidences of the knowledge conversion way described by the SECI Process. The researched revealed the fact that knowledge management, in this case specifically the knowledge conversion SECI Process, is present in the variables that, according to the GII, make clear innovative activity in countries.
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This text is mainly aimed to address essential aspects of teacher formation in the light of education-work relations in the higher education, from our systematic experience in higher education teaching, particularly teaching and research in the field of Didactics discipline. This formulation is justified considering our concern in seeking to situate this discussion in the context of bringing together knowledge areas and the field of teaching knowledge. Still, our choice to develop such an approach in the light of work-education relationship is due to the belief about the possibilities of seeking to overcome the requirements imposed by capitalism to our educational system, within the possible contradictions of these relationships. In this context the teachers’ formation in higher education gains social and strategic importance, taking on the task of forming individuals of “action-reflection-action” in a society established historically based on the social relations which settle in the light of capital’s multiple determinations. It appears that, in this sense, the major confrontations have been given within the discussions about what to prioritize or combine in the list of criteria and content for teacher’s formation. In Didactic, we seek to emphasize discussions that we consider with a philosophical background, referring to the orientation of teaching practice in knowledge of contemporary ideological struggle; socio-historical, referring to the possibility of formation of disciplines, among them Didactic, and curriculums and references to support its guidance in the process of teacher’s formation. This context of discussion is based on the concrete teaching practice with a view to transformation and to search for new syntheses in terms of knowledge and in terms of historical reality. Then therefore, our methodological approach grounded in the dimensions of the same unit: historical materialism as posture, method and as praxis.
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In the study of theoretical trends in Administration, the management of information follows the development of theories of Administration; constant-adaptations are suffered. Information Science area understands and concerns itself with the changes wrought in these endeavour of the knowledge society as new forms of communication and integration. The libraries interact in ways that maximize access to information and facilitate the improvement on their structural environment as strategic approach for your services. The research aims at identifying the requirements and specifications of an information system for knowledge management in the public’s library environment and proposes to achieve a pre-defined structure for the implementation of administration management. The research is conducted with public’s library of the metropolitan region of the North’s Portugal. Portugal libraries are institutions that operate in the social process of their communities reflecting the society and its organic sphere of informational performance. These libraries have developed the organizational theories to make a framework easily for effective management practices and have been using their produced knowledge in the optimization of their actions. In the improvement of systems, theoretical administrative trends become management decisions and result in the ultimate success of the organization. In order to achieve its objectives the study verified an economy based on knowledge management, and its production emphasizes the human capital that permeates the condition of the information in support for the development of communities.
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In this paper we study the intersection of Knowledge Organization with Information Technologies and the challenges and opportunities for Knowledge Organization experts that, in our view, are important to be studied and for them to be aware of. We start by giving some definitions necessary for providing the context for our work. Then we review the history of the Web, beginning with the Internet and continuing with the World Wide Web, the Semantic Web, problems of Artificial Intelligence, Web 2.0, and Linked Data. Finally, we conclude our paper with IT applications for Knowledge Organization in libraries, such as FRBR, BIBFRAME, and several OCLC initiatives, as well as with some of the challenges and opportunities in which Knowledge Organization experts and researchers might play a key role in relation to the Semantic Web.
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People store data of the most different daily events, to know yourself, detect behaviors, predict events and have an strongly knowledge to take decisions. The growth of the events, results in a large amount of data colected and this data needs to be processed to get value information. This data have a temporal component from the collect process (daily, monthly or annualy) and this need to be consider on the exploration. The exploration based on temporal component can be uni-scale or multi-scale. The data mining goes toward to extract knowledge from large databases and if combined with visualization tools, the data mining can be more effective to detect information. This visualization tools display data and allow user to manipulate and change it by interaction features toward your goal. The user can combine tools and combine the steps of visualization among the tools through messages. This monograph aim to insert interactivity on AdaptaVis architecture model, developed by Shimabukuro (2004), the InfoVis, then extends its ability of exploration and provide a consistent base for the user handle data and extract information
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Nowadays, in any area that acts within the veterinary medicine, we talk a lot of specialists. Specialists in neurology, cardiology, dermatology, endocrinology, finally, more specialized in a subject, better is the veterinarian. However, on one hand to deepen the knowledge helped in the discovery of new diagnostics and treatments, secondly, a bit lost sight of the patient as a whole. Traditional Chinese medicine, one of whose branches is acupuncture, is aimed at exactly this approach to be fully alive, where all body is interconnected and the disease is not seen as the imbalance of one system, but, as the imbalance between our being and the environment external. Acupuncture is an alternative in the treatment of many diseases, among them Cauda Equina Syndrome, and consists of stimulating specific points on the body surface, which help the body return to its natural harmony. A Cauda Equina Syndrome is a frame subsequent to a neuromuscular spinal cord at the level of the spinal canal of the lower lumbar spine and sacral, whose treatment is almost always surgical. This study aims to show the relevance of acupuncture treatment in this condition and report the importance of the philosophy of traditional Chinese medicine nowadays, even when their arms are not in the treatment of choice
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Several body fluids have been evaluated as new sources for cancer biomarker discovery. In this context, salivary and serum proteomics seem promising diagnostic and predictive tools for head and neck diseases. In the present study, we performed a proteomic analysis of saliva and serum from patients presenting head and neck squamous cell carcinoma (HNSCC) and compared the results before and after therapy. In saliva of cancer patients, we observed an altered protein profile, including over-expression of PLUNC and zinc-alpha-2-glycoprotein. Both proteins may contribute to control tumor growth and, therefore, represent targets for new analysis. We also detected serotransferrin and a modified transthyretin form with altered levels in serum from patients. Comparing preoperative and postreatment samples, the results showed that the protein profile after treatment reverted to a pattern closer to those observed for controls. These results add information on the role of secreted proteins in the cancer process and emphasize the potential of saliva and serum analysis for diagnosis and monitoring of HNSCC.
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The notification of the occurrence or suspicion of violence is mandatory for health professionals and is a key tool for epidemiological surveillance and the definition of public policies for prevention and intervention. However, professionals feel unprepared for this assignment, which renders underreporting prevalent. To address this issue, the objective is to identify the means available to the professional to submit notification as well as ensure due process follow-up. For this purpose, research and document analysis was conducted in Brazilian legislation, ordinances, and government programs, codes of ethics and consultation of the literature in databases on the subject over a period of five years to establish a brief comparative analysis with other countries. The conclusion drawn is that while some measures are inapplicable, knowledge about the appropriate process for the notification and routing to specific organs will enable healthcare professionals to make the appropriate decisions for the protection and safety of the victim, besides the measures in order to change this situation of violence in the country.
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Pós-graduação em Ciência da Computação - IBILCE