983 resultados para Intellectual Framework


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In this paper an approach to extreme event control in wastewater treatment plant operation by use of automatic supervisory control is discussed. The framework presented is based on the fact that different operational conditions manifest themselves as clusters in a multivariate measurement space. These clusters are identified and linked to specific and corresponding events by use of principal component analysis and fuzzy c-means clustering. A reduced system model is assigned to each type of extreme event and used to calculate appropriate local controller set points. In earlier work we have shown that this approach is applicable to wastewater treatment control using look-up tables to determine current set points. In this work we focus on the automatic determination of appropriate set points by use of steady state and dynamic predictions. The performance of a relatively simple steady-state supervisory controller is compared with that of a model predictive supervisory controller. Also, a look-up table approach is included in the comparison, as it provides a simple and robust alternative to the steady-state and model predictive controllers, The methodology is illustrated in a simulation study.

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The juxtapositioning of government providing a public good through research and development investment on one hand and engaging in commercialisation of the research outcome on the other is a paradox. Using agricultural research as an example, we examine the nature of the paradox to determine if commercialisation potentially leads to a conflict in the role of public research institutions set up to fulfil public good responsibilities. We identify the reasons for the shift in policy towards commercialisation and greater exploitation of public sector intellectual property and how this has contributed to the emergence of the apparent inconsistency. We argue that the belief in working for public good is inherent and embedded in an organisation's history and its wider operating environment. We propose that the creation of public sector intellectual property and its commercialisation are influenced by the political, social and economic environment in which the public institutions operate. [ABSTRACT FROM AUTHOR]

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The purpose was to develop an evaluative case study of six 3-hr sessions, spaced over 3 months, of psychological skills training (PST) provided to athletes with an intellectual disability who were training for the Basketball Australia State Championships. Participants were 7 males and 7 females, aged 15.8 to 27.1 years, with a receptive language level of 7 to 13.7 years, 2 female coaches, 2 psychologists, and I registered psychologist supervisor. Sessions focused specifically on stress management, with primary attention given to cue words, breathing techniques, and positive thinking. Findings, based on interviews and participant observations, revealed that all participants believed that the PST was appropriate and worthwhile.

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This article describes an exploratory study that examined the perspectives of practitioners who spend much of their working day listening to and in some ways interpreting for people with severe intellectual disabilities. On the basis of focus group interviews with 23 professional disability-sector workers, including speech therapists, psychologists, and human service workers, the article reports on the importance of a practitioner's values and experience in successful interactions with individuals who rely on self-developed nonsymbolic communication repertoires. The article includes a discussion of the likelihood of including individuals with severe intellectual disabilities in narrative research.

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With the advent of object-oriented languages and the portability of Java, the development and use of class libraries has become widespread. Effective class reuse depends on class reliability which in turn depends on thorough testing. This paper describes a class testing approach based on modeling each test case with a tuple and then generating large numbers of tuples to thoroughly cover an input space with many interesting combinations of values. The testing approach is supported by the Roast framework for the testing of Java classes. Roast provides automated tuple generation based on boundary values, unit operations that support driver standardization, and test case templates used for code generation. Roast produces thorough, compact test drivers with low development and maintenance cost. The framework and tool support are illustrated on a number of non-trivial classes, including a graphical user interface policy manager. Quantitative results are presented to substantiate the practicality and effectiveness of the approach. Copyright (C) 2002 John Wiley Sons, Ltd.

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In this paper I explore the Indigenous Australian women's performance classroom (hereafter ANTH2120) as a dialectic and discursive space where the location of possibility is opened for female Indigenous performers to enter into a dialogue from and between both non-Indigenous and Indigenous voices. The work of Bakhtin on dialogue serves as a useful standpoint for understanding the multiple speaking positions and texts in the ANTH2120 context. Bakhtin emphasizes performance, history, actuality and the openness of dialogue to provide an important framework for analysing multiple speaking positions and ways of making meaning through dialogue between shifting and differing subjectivities. I begin by briefly critiquing Bakhtin's "dialogic imagination" and consider the application and usefulness of concepts such as dialogism, heteroglossia and the utterance to understanding the ANTH2120 classroom as a polyphonic and discursive space. I then turn to an analysis of dialogue in the ANTH2120 classroom and primarily situate my gaze on an examination of the interactions that took place between the voices of myself as family/teacher/student and senior Yanyuwa women from the r e m o t e N o r t h e r n T e r r i t o r y A b o r i g i n a l c o m m u n i t y o f B o r r o l o o l a as family/performers/teachers. The 2000 and 2001 Yanyuwa women's performance workshops will be used as examples of the way power is constantly shifting in this dialogue to allow particular voices to speak with authority, and for others to remain silent as roles and relationships between myself and the Yanyuwa women change. Conclusions will be drawn regarding how my subject positions and white race privilege affect who speaks, who listens and on whose terms, and further, the efficacy of this pedagogical platform for opening up the location of possibility for Indigenous Australian women to play a powerful part in the construction of knowledges about women's performance traditions.

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This paper reports descriptive information on the relationship between social competence and the amount and type of peer interaction for nine adolescents with intellectual disability attending a regular high school. Each adolescent's social competence was assessed using the AAMR Adaptive Behavior Scale-School (2nd edn) (ABS-S:2). Naturalistic observations were conducted to obtain information on the amount and type of peer interaction. Data were analysed to determine the relationship between social competence and peer interactions. Social competence was not consistently correlated with the amount of peer interaction. Results from the naturalistic observations showed individual differences in patterns of peer interaction with a tendency towards more frequent interactions with peers who also had intellectual disabilities. These data suggest that social competence did not significantly influence the amount and type of peer interaction. Implications for facilitating peer interactions between adolescents with and without intellectual disability are discussed.

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To approach philosophy as a way of working on the self means to begin not with the experience it clarifies and the subject it discovers, but with the acts of self‐transformation it requires and the subjectivity it seeks to fashion. Commenting on the variety of spiritual exercises to be found in the ancient schools, Pierre Hadot remarks that: Some, like Plutarch’s ethismoi, designed to curb curiosity, anger or gossip, were only practices intended to ensure good moral habits. Others, particularly the meditations of the Platonic tradition, demanded a high degree of mental concentration. Some, like the contemplation of nature as practiced in all philosophical schools, turned the soul toward the cosmos, while still others—rare and exceptional—led to a transfiguration of the personality, as in the experiences of Plotinus. We also saw that the emotional tone and notional content of these exercises varied widely from one philosophical school to another: from the mobilization of energy and consent to destiny of the Stoics, to the relaxation and detachment of the Epicureans, to the mental concentration and renunciation of the sensible world among the Platonists.1 While successfully applied to ancient philosophy,2 this approach has not been widely exploited in the history of philosophy more broadly. There is, however, at least one study of medieval metaphysics in these terms,3 and there are some important discussions of early modern Stoicism and Epicureanism.4 And a recent study of Hume shows the fruitfulness of the approach for Enlightenment philosophy.5 It is all the more surprising then that there seems to have been no serious attempt to approach Kant’s moral philosophy in this way.

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This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.