840 resultados para Contextual fear conditioning
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COSTA, Roberta Kaliny de Souza ; ENDERS, Bertha Cruz ; MENEZES, Rejane Maria Paiva de . Trabalho em equipe em saúde: uma análise contextual. Ciência, Cuidado e Saúde, v. 7, p. 530-536, 2008.
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Otto-von Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften, Dissertation, 2016
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O medo e a ansiedade dentária são importantes fatores condicionantes do tratamento dentário. Ao interferirem na condição psicológica do paciente, condicionam o seu comportamento na consulta e a atitude que apresentam em relação aos cuidados de saúde oral. Os pacientes ansiosos, medrosos ou fóbicos adiam a consulta de medicina dentária, evitam os tratamentos e só recorrem ao médico dentista quando surgem os sintomas dolorosos. Este adiar dos procedimentos dentários resultará num agravamento dos problemas de saúde oral, e em maiores necessidades de tratamento, tratamento esse que será mais intensivo, mais invasivo e potencialmente mais traumático, levando a um reforço do medo e da ansiedade dentária já existente. As crianças, pela menor maturidade psico-emocional têm menor capacidade de lidar com as suas emoções perante diversos acontecimentos, nomeadamente, em contexto médico-dentário. Tornam-se assim mais suscetíveis ao desenvolvimento de medo e ansiedade dentária, e exibindo, com alguma frequência, comportamentos negativos na consulta, que dificultam a adequada prestação de cuidados de saúde oral. Existem ainda outros fatores etiológicos predisponentes e desencadeantes de ansiedade dentária na criança e que condicionam o seu comportamento na consulta (idade, género, faixa etária, número de consultas anteriores, entre outros). Objetivo: Neste trabalho pretendeu-se avaliar os fatores determinantes do comportamento infantil na consulta de medicina dentária da Unidade de Saúde da Ilha Terceira, em crianças com idades entre os 4 e os 16 anos. Métodos: Foi realizado um estudo descritivo observacional transversal onde se pretendeu avaliar a ansiedade dentária da criança antes da consulta dentária através da Facial Image Scale (FIS); avaliar a ansiedade dentária dos acompanhantes através da. Corah Dental Anxiety Scale, Revised (DAS-R). e o comportamento das crianças durante o tratamento dentário usando a Escala de Frankl. O estudo decorreu de 30 de Abril a 8 de Maio na Unidade de Saúde da Ilha Terceira, Região Autónoma dos Açores, tendo sido observadas 53 crianças de idades compreendidas entre os 4 e os 16 anos. Resultados: Numa amostra de 53 crianças, verificou-se que 11,3% das crianças apresentavam ansiedade dentária antes da consulta dentária, que os pais eram mais ansiosos que as crianças, 49,1% apresentavam ansiedade dentária e que a percentagem de crianças com um comportamento negativo durante a consulta médico-dentária foi muito baixa, correspondendo a 1,9%. Verificou-se que a ansiedade dentária parental não interfere com a ansiedade dentária da criança, quando comparadas, ao contrário do que alguns estudos sugerem. Não houve relação entre a ansiedade dentária da criança e o género, idade, número de vezes que veio ao médico dentista ou estatuto social. Conclusão: Neste estudo pôde-se concluir que as crianças que frequentaram a consulta de medicina dentária da Unidade de Saúde da Ilha Terceira entre 30 de Abril a 8 de Maio apresentaram baixa prevalência de ansiedade dentária e elevada prevalência de comportamento positivo na consulta. Já os seus pais ou acompanhantes apresentaram uma prevalência de ansiedade dentária parental elevada. Conhecer os fatores que condicionam o comportamento infantil na consulta dentária como a ansiedade dentária da criança e a ansiedade dentária parental e medi-los antes da consulta poderá ajudar a equipa dentária na abordagem comportamental da criança durante os tratamentos dentários. Envolver a comunidade escolar e a população infantil em ações de promoção da saúde oral, promovendo rastreios dos problemas orais nas escolas, e consultas dentárias de acompanhamento logo desde muito jovens, poderá ter um efeito benéfico na diminuição da ansiedade dentária nas crianças e no desenvolvimento de comportamentos positivos nas consultas.
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submitted by Verena Felizitas Maurer
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From the beginning of the twentieth century, ``Modernism`` impacted and transformed art and clothing. Pablo Picasso and Gabrielle ``Coco`` Chanel were two of the most central characters in Modernism working simultaneously in their disciplines. Picasso`s innovations, particularly in abstract art and Chanel`s fashion designs, that dramatically departed from the previous corseted and highly deco-rative styles, were so significant that they have left an influence on contemporary art and fashion. This study will compare their visual works and documented evidence of their motivations, within the context of their cultural backgrounds, to reveal meaning in the occurrences of overlaps. This approach has ex-amined the historical, cultural background of the artist and designer`s environment from different per-spectives, adding to previous research in this area. Through this research, outcomes of the analysis have shown similarities and divergences in the wider genres of art and fashion and the practice of the artist and fashion designer. The reference list to this text, used in the survey, gives a comprehensive overview of pertinent publications disseminating Picasso and Chanel`s visual works, oral perspectives and cultural impact.
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Se han realizado muchos estudios que analizan el efecto de la estricta legislación de protección del empleo. Sin embargo, casi todos ellos se han enfocado en un impacto a posteriori; dejando de lado un segundo canal, pero igualmente importante: las expectativas. Este trabajo tiene como objetivo analizar el papel de las expectativas en el mercado laboral formal e informal peruano.
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COSTA, Roberta Kaliny de Souza ; ENDERS, Bertha Cruz ; MENEZES, Rejane Maria Paiva de . Trabalho em equipe em saúde: uma análise contextual. Ciência, Cuidado e Saúde, v. 7, p. 530-536, 2008.
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With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the author(s) of a biomedical publication, or implicit, such as the positive or negative sentiment that an author had when she wrote a product review; there may also be complex context such as the social network of the authors. Many applications require analysis of topic patterns over different contexts. For instance, analysis of search logs in the context of the user can reveal how we can improve the quality of a search engine by optimizing the search results according to particular users; analysis of customer reviews in the context of positive and negative sentiments can help the user summarize public opinions about a product; analysis of blogs or scientific publications in the context of a social network can facilitate discovery of more meaningful topical communities. Since context information significantly affects the choices of topics and language made by authors, in general, it is very important to incorporate it into analyzing and mining text data. In general, modeling the context in text, discovering contextual patterns of language units and topics from text, a general task which we refer to as Contextual Text Mining, has widespread applications in text mining. In this thesis, we provide a novel and systematic study of contextual text mining, which is a new paradigm of text mining treating context information as the ``first-class citizen.'' We formally define the problem of contextual text mining and its basic tasks, and propose a general framework for contextual text mining based on generative modeling of text. This conceptual framework provides general guidance on text mining problems with context information and can be instantiated into many real tasks, including the general problem of contextual topic analysis. We formally present a functional framework for contextual topic analysis, with a general contextual topic model and its various versions, which can effectively solve the text mining problems in a lot of real world applications. We further introduce general components of contextual topic analysis, by adding priors to contextual topic models to incorporate prior knowledge, regularizing contextual topic models with dependency structure of context, and postprocessing contextual patterns to extract refined patterns. The refinements on the general contextual topic model naturally lead to a variety of probabilistic models which incorporate different types of context and various assumptions and constraints. These special versions of the contextual topic model are proved effective in a variety of real applications involving topics and explicit contexts, implicit contexts, and complex contexts. We then introduce a postprocessing procedure for contextual patterns, by generating meaningful labels for multinomial context models. This method provides a general way to interpret text mining results for real users. By applying contextual text mining in the ``context'' of other text information management tasks, including ad hoc text retrieval and web search, we further prove the effectiveness of contextual text mining techniques in a quantitative way with large scale datasets. The framework of contextual text mining not only unifies many explorations of text analysis with context information, but also opens up many new possibilities for future research directions in text mining.
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The continuous flow of technological developments in communications and electronic industries has led to the growing expansion of the Internet of Things (IoT). By leveraging the capabilities of smart networked devices and integrating them into existing industrial, leisure and communication applications, the IoT is expected to positively impact both economy and society, reducing the gap between the physical and digital worlds. Therefore, several efforts have been dedicated to the development of networking solutions addressing the diversity of challenges associated with such a vision. In this context, the integration of Information Centric Networking (ICN) concepts into the core of IoT is a research area gaining momentum and involving both research and industry actors. The massive amount of heterogeneous devices, as well as the data they produce, is a significant challenge for a wide-scale adoption of the IoT. In this paper we propose a service discovery mechanism, based on Named Data Networking (NDN), that leverages the use of a semantic matching mechanism for achieving a flexible discovery process. The development of appropriate service discovery mechanisms enriched with semantic capabilities for understanding and processing context information is a key feature for turning raw data into useful knowledge and ensuring the interoperability among different devices and applications. We assessed the performance of our solution through the implementation and deployment of a proof-of-concept prototype. Obtained results illustrate the potential of integrating semantic and ICN mechanisms to enable a flexible service discovery in IoT scenarios.
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Dissertação de Mestrado apresentada ao Instituto Superior de Psicologia Aplicada para obtenção de grau de Mestre na especialidade de Psicologia Educacional.
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350 p.
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International audience
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Tese de Doutoramento em Biologia Comportamental apresentada ao ISPA - Instituto Universitário
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Adolescence’s changes may become more pronounced when living with a chronic condition (CC). This study aims to examined the differences in satisfaction with family life, perception of school competence and “pressure with homework” of Portuguese adolescents’ 1) living with CC; 2) how living with CC affects school participation; taking into account age, gender and family socioeconomic status (SES). Five thousand fifty Portuguese adolescents (mean age 14 ± 1.85) of the Health Behaviour in School-aged Children (HBSC/WHO) were included. Results showed increased vulnerability in adolescents living with CC, presenting a lower satisfaction with family life and poor school outcomes. Younger boys, having a higher SES and not having CC are significantly associated with satisfaction with family life. Older girls, having a lower SES and living with CC were associated with more stress related to school work. Future interventions should include these features combined with ‘listening’ to adolescents and their needs, allowing their participation in the promotion of personal health.