823 resultados para pacs: IT training requirements


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Esta investigação empírica discute e analisa o trabalho docente do profissional do Ensino Médio, sua formação e desestruturação na sociedade contemporânea, procurando relacioná-la à própria crise da formação cultural em vigor. O objetivo principal é analisar as formas de adaptação e de resistência do professor perante as grandes mudanças e novas exigências para o educador do novo século iniciado no ano de 2000, com a chegada do novo milênio. A partir desse objetivo analisado, foi estudado como o professor compreende sua formação e carreira, focalizando as ações instauradas atualmente pela Secretaria do Estado da Educação de São Paulo, no período de 2000 a 2014, nas escolas de Ensino Médio do município de Barueri, confrontando com as regras propostas pela última LDB (Lei de Diretrizes e Bases) e legislação correlata também em âmbito estadual. A hipótese que rege esta investigação é a de que há inconsistências e incoerências na normatização na esfera executiva do sistema estadual de ensino. As Escolas Estaduais de Ensino Médio do município de Barueri (SP) serão o campo empírico desta pesquisa que se realizará em 2013 e 2014. A partir de informações obtidas por meio de análise documental e de respostas fornecidas por professores com questionários padronizados, objetivando caracterizar o perfil profissional do professor, confronta-lo com as exigências do sistema, identificar ações que regulam a sua seleção e explicitar sua manifestação sobre o impacto da má qualidade de sua formação no exercício da docência, fator que favorece o agravamento de forças conservadoras, cristalizadas em forma de práticas voltadas para a resolução de problemas do cotidiano escolar do Ensino Médio. Os estudos sobre cultura escolar, história da educação será apoiado Florestan Fernandes (1966), Otaíza de Oliveira Romanelli (1990), Helena Souza Patto (1999), Raquel Volpato Serbino (1998), Edgar Morin (2006), Guiomar Namo de Mello (2004), Dermeval Saviani (2003), Antônio Nóvoa (1995), José Mário P. Azanha (1968), Selma Pimenta Garrido (1992), Bernadete Gatti (1996), Francisco Imbernón (2002), Martha Abrahão Saad Lucchesi (2002), Lizete Shizue Bomura Maciel (2004), entre outros autores que estaremos pesquisando ao longo do nosso trabalho.

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A simple method for training the dynamical behavior of a neural network is derived. It is applicable to any training problem in discrete-time networks with arbitrary feedback. The algorithm resembles back-propagation in that an error function is minimized using a gradient-based method, but the optimization is carried out in the hidden part of state space either instead of, or in addition to weight space. Computational results are presented for some simple dynamical training problems, one of which requires response to a signal 100 time steps in the past.

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A simple method for training the dynamical behavior of a neural network is derived. It is applicable to any training problem in discrete-time networks with arbitrary feedback. The method resembles back-propagation in that it is a least-squares, gradient-based optimization method, but the optimization is carried out in the hidden part of state space instead of weight space. A straightforward adaptation of this method to feedforward networks offers an alternative to training by conventional back-propagation. Computational results are presented for simple dynamical training problems, with varied success. The failures appear to arise when the method converges to a chaotic attractor. A patch-up for this problem is proposed. The patch-up involves a technique for implementing inequality constraints which may be of interest in its own right.

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It is well known that the addition of noise to the input data of a neural network during training can, in some circumstances, lead to significant improvements in generalization performance. Previous work has shown that such training with noise is equivalent to a form of regularization in which an extra term is added to the error function. However, the regularization term, which involves second derivatives of the error function, is not bounded below, and so can lead to difficulties if used directly in a learning algorithm based on error minimization. In this paper we show that, for the purposes of network training, the regularization term can be reduced to a positive definite form which involves only first derivatives of the network mapping. For a sum-of-squares error function, the regularization term belongs to the class of generalized Tikhonov regularizers. Direct minimization of the regularized error function provides a practical alternative to training with noise.

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This paper focuses on the questions which heterosexual trainees ask about lesbian, gay and bisexual (LGB) experience within diversity training about LGB issues. Drawing on a data corpus of 162 questions asked by trainees in 13 tape-recorded training sessions, questions were coded into six categories: (1) general understanding questions; (2) questions about the trainer's life, experience and practices; (3) professional practice questions; (4) questions about lesbian and gay related legislation, policies and procedures; (5) questions about specific people and projects and (6) questions about the meanings, derivations and correct use of terms and symbols. Real questions are compared with the decontexualized questions (and answers to them) that are provided in training manuals and it is demonstrated that these questions differ markedly from how questions actually get asked and how they actually get answered. Recommendations are provided for improving training and the argument made for turning towards analyses of the real world in action, especially when considering intergroup relations. Copyright © 2008 John Wiley & Sons, Ltd.

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We are concerned with the problem of image segmentation in which each pixel is assigned to one of a predefined finite number of classes. In Bayesian image analysis, this requires fusing together local predictions for the class labels with a prior model of segmentations. Markov Random Fields (MRFs) have been used to incorporate some of this prior knowledge, but this not entirely satisfactory as inference in MRFs is NP-hard. The multiscale quadtree model of Bouman and Shapiro (1994) is an attractive alternative, as this is a tree-structured belief network in which inference can be carried out in linear time (Pearl 1988). It is an hierarchical model where the bottom-level nodes are pixels, and higher levels correspond to downsampled versions of the image. The conditional-probability tables (CPTs) in the belief network encode the knowledge of how the levels interact. In this paper we discuss two methods of learning the CPTs given training data, using (a) maximum likelihood and the EM algorithm and (b) emphconditional maximum likelihood (CML). Segmentations obtained using networks trained by CML show a statistically-significant improvement in performance on synthetic images. We also demonstrate the methods on a real-world outdoor-scene segmentation task.

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This field work study furthers understanding about expatriate management, in particular, the nature of cross-cultural management in Hong Kong involving Anglo-American expatriate and Chinese host national managers, the important features of adjustment for expatriates living and working there, and the type of training which will assist them to adjust and to work successfully in this Asian environment. Qualitative and quantitative data on each issue was gathered during in-depth interviews in Hong Kong, using structured interview schedules, with 39 expatriate and 31 host national managers drawn from a cross-section of functional areas and organizations. Despite the adoption of Western technology and the influence of Western business practices, micro-level management in Hong Kong retains a cultural specificity which is consistent with the norms and values of Chinese culture. There are differences in how expatriates and host nationals define their social roles, and Hong Kong's recent colonial history appears to influence cross-cultural interpersonal interactions. The inability of the spouse and/or family to adapt to Hong Kong is identified as a major reason for expatriate assignments to fail, though the causes have less to do with living away from family and friends, than with Hong Kong's highly urbanized environment and the heavy demands of work. Culture shock is not identified as a major problem, but in Hong Kong micro-level social factors require greater adjustment than macro-level societal factors. The adjustment of expatriate managers is facilitated by a strong orientation towards career development and hard work, possession of technical/professional expertise, and a willingness to engage in a process of continuous 'active learning' with respect to the host national society and culture. A four-part model of manager training suitable for Hong Kong is derived from the study data. It consists of a pre-departure briefing, post-arrival cross-cultural training, language training in basic Cantonese and in how to communicate more effectively in English with non-native speakers, and the assignment of a mentor to newly arrived expatriate managers.

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Companies must not see e-Business as a panacea but instead assess the specific impact of implementing e-Business on their business from both an internal and external perspective. E-Business is promoted as being able to increase the speed of response and reduce costs locally but these benefits must be assessed for the wider business rather than as local improvements. This paper argues that any assessment must include quantitative analysis that covers the physical as well as the information flows within a business. It is noted that as business processes are e-enabled their structure does not significantly change and it is only by the use of modelling techniques that the operational impact can be ascertained. The paper reviews techniques that are appropriate for this type of analysis as well as specific modelling tools and applications. Through this review a set of requirements for e-Business process modelling is derived.

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Women are actively encouraged to educate themselves about pregnancy from formal sources (e.g., information leaflets, antenatal classes, books). In addition, informal stories of pregnancy and birth are routinely told between women. However, increased prenatal testing means that more fetuses are diagnosed with abnormalities, shifting the information requirements during pregnancy. Traditional sources of information cannot cover all possible outcomes, and the Internet is beginning to fill this gap. In this article, we draw from interviews about experiences of antenatal screening and pregnancy to explore how the Internet provides a unique resource for problematic pregnancies. It allows access to information about rarer conditions beyond standard pregnancy texts, as well as personal narratives about conditions. Learning how others have coped or are coping in similar situations can help alleviate feelings of isolation, and also places women back in a familiar territory of shared pregnancy narratives.

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This article describes a study of the relationships between team inputs (task type and team size) and team processes in 87 cross industry Portuguese teams, some of which had high and some low requirements to innovate. Team processes were measured using the Team Climate Inventory (TCI), which focuses on clarity of and commitment to team objectives, levels of participation, support for innovation, and quality emphases. Three hypotheses were tested. The first proposed that teams carrying out tasks with a high innovation requirement would have high scores on a measure of team processes. This was supported insofar as such teams reported higher levels of participation and support for innovation. The second hypothesis proposed that large teams would have poorer team processes. This hypothesis was confirmed. The third hypothesis concerned the interaction between size and innovation. The results suggested that large teams operating under a relatively high pressure to innovate have poorer team processes than large teams that do not have a high requirement to innovate.

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From the first recognition of AIDS as a disease, it was publicly conceptualized as a 'gay plague'. In response, health education and diversity training sought to counter this association claiming that AIDS is an 'equal opportunity' virus - that it can affect anyone. In this article, we analyse talk about HIV/AIDS within a data corpus of 13 tape-recorded lesbian and gay awareness training sessions. Counter to the way in which interactions are described in the lesbian and gay awareness training literature, we found that it was trainees, rather than trainers, who pursued discussions about HIV/AIDS, and who did so in order to claim the 'de-gaying' of AIDS, which they treated as representing a 'non-prejudiced' position. By contrast, and in response to trainees' insistence on de-gaying AIDS, trainers were 're-gaying' AIDS. Our analysis highlights that in these sessions - designed explicitly to counter homophobic attitudes - apparently 'factual' claims and counter-claims about infection rates and risk groups are underpinned by essentially contested definitions of what constitutes a 'homophobic' attitude. We conclude by pointing to the value of detailed analysis of talk-in-interaction for understanding professional practices, and suggest strategies for improving the pedagogic value of training. Copyright © 2005 SAGE Publications.

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Some of the factors affecting colonisation of a colonisation sampler, the Standard Aufwuchs Unit (S. Auf. U.) were investigated, namely immersion period, whether anchored on the bottom or suspended, and the influence of riffles. It was concluded that a four-week immersion period was best. S. Auf. U. anchored on the bottom collected both more taxa and individuals than suspended ones. Fewer taxa but more individuals colonised S. Auf. U. in the potamon zone compared to the rhithron zone with a consequent reduction in the values of pollution indexes and diversity. It was concluded that a completely different scoring system was necessary for lowland rivers. Macroinvertebrates colonising S. Auf. U. in simulated streams, lowland rivers and the R. Churnet reflected water quality. A variety of pollution and diversity indexes were applied to results from lowland river sites. Instead of these, it was recommended that an abbreviated species - relative abundance list be used to summarise biological data for use in lowland river surveillance. An intensive study of gastropod populations was made in simulated streams. Lynnaea peregra increased in abundance whereas Potamopyrgas jenkinsi decreased with increasing sewage effluent concentration. No clear-cut differences in reproduction were observed. The presence/absence of eight gastropod taxa was compared with concentrations of various pollutants in lowland rivers. On the basis of all field work it appeared that ammonia, nitrite, copper and zinc were the toxicants most likely to be detrimental to gastropods and that P. jenkinsi and Theodoxus fluviatilis were the least tolerant taxa. 96h acute toxicity tests of P. jenkinsi using ammonia and copper were carried out in a flow-through system after a variety of static range finding tests. P. jenkinsi was intolerant to both toxicants compared to reports on other taxa and the results suggested that these toxicants would affect distribution of this species in the field.