921 resultados para DIMENSION


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Peace education can be most simply thought of as educating students to create a more peaceful world. However, just as peace needs to be thought of as more than merely the absence of war, so too peace education needs to be thought of as being more than educating students to understand the importance of avoiding war. Peace is the presence of justice, and thus a fuller definition of peace education is educating students to create a more just and harmonious world. Peace education may thought of as having an international dimension, that is, educating for peace and social justice between nation-states; as having a domestic dimension, that is, educating for peace and social justice within societies, groups and families; and as having a personal dimension, that is, educating for peace and justice in our individual personal relationships and educating for inner peace. Moreover, many writers now also see peace education as encompassing our inter-relationship with our natural environment. All these dimensions of peace education can be seen to be inter-related...

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The development of early Childhood Education for Sustainability (ECEfS) practices with young children from birth to eight years is an emerging area in academic and professional literature. ECEfS practices reflect growing awareness of the imperative for twenty-first century societies to respond to the pressures of unsustainable patterns of living. This article contributes to the growing area of ECEfS research by exploring sustainability conceptualisations and practice initiatives as reported by early childhood teachers, educators, pre-service educators and parents in Tasmania. We do this by analysing data collected from participants who attended ECEfS professional learning workshops, entitled Living and learning about sustainability in the early years. Findings show that environmental (nature/natural) aspects of sustainability dominate these adults' practice initiatives and understandings. While many of the reported educational initiatives are to be celebrated, the authors contend that there is much work to be done to extend thinking and practice beyond the natural/environmental dimension in order to embrace holistic notions of sustainability incorporating social, economic and political dimensions.

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Diabetic macular edema (DME) is one of the most common causes of visual loss among diabetes mellitus patients. Early detection and successive treatment may improve the visual acuity. DME is mainly graded into non-clinically significant macular edema (NCSME) and clinically significant macular edema according to the location of hard exudates in the macula region. DME can be identified by manual examination of fundus images. It is laborious and resource intensive. Hence, in this work, automated grading of DME is proposed using higher-order spectra (HOS) of Radon transform projections of the fundus images. We have used third-order cumulants and bispectrum magnitude, in this work, as features, and compared their performance. They can capture subtle changes in the fundus image. Spectral regression discriminant analysis (SRDA) reduces feature dimension, and minimum redundancy maximum relevance method is used to rank the significant SRDA components. Ranked features are fed to various supervised classifiers, viz. Naive Bayes, AdaBoost and support vector machine, to discriminate No DME, NCSME and clinically significant macular edema classes. The performance of our system is evaluated using the publicly available MESSIDOR dataset (300 images) and also verified with a local dataset (300 images). Our results show that HOS cumulants and bispectrum magnitude obtained an average accuracy of 95.56 and 94.39 % for MESSIDOR dataset and 95.93 and 93.33 % for local dataset, respectively.

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Our contribution to this volume is not on the work of the teacher who inspires the child writer, but the teacher as the writer and illustrator of multilingual texts for classroom use that inspires the child reader. This chapter focuses on a first time teacher writer from Fiji, Bereta , who participated in a two day writing workshop known as the Information Text Awareness Project (hereafter ITAP). This chapter commences with an overview of the ITAP which was conducted in Nadi, Fiji, in 2012 with Bereta and 17 teachers from urban, semi-urban and rural contexts within the Nadi educational district. The politics of presenting Western ways of knowing to teachers from diverse cultural and linguistic contexts via a Western pedagogical approach is explored in the second section. We believe that this work involves a moral dimension that needs careful consideration. The third section outlines the eight stages of ITAP where teacher writers such as Bereta produced an English and a vernacular information text for use in their classrooms. The outline of the eight stages of ITAP is justified with links to the research literature. The final section recounts Bereta’s interview data where she talks about using the newly created English and vernacular information texts in the classroom and the community’s response to her inaugural publications. The findings may be of interest to those seeking to establish an adult writing cooperative to produce English and vernacular information texts for classroom use.

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A new transdimensional Sequential Monte Carlo (SMC) algorithm called SM- CVB is proposed. In an SMC approach, a weighted sample of particles is generated from a sequence of probability distributions which ‘converge’ to the target distribution of interest, in this case a Bayesian posterior distri- bution. The approach is based on the use of variational Bayes to propose new particles at each iteration of the SMCVB algorithm in order to target the posterior more efficiently. The variational-Bayes-generated proposals are not limited to a fixed dimension. This means that the weighted particle sets that arise can have varying dimensions thereby allowing us the option to also estimate an appropriate dimension for the model. This novel algorithm is outlined within the context of finite mixture model estimation. This pro- vides a less computationally demanding alternative to using reversible jump Markov chain Monte Carlo kernels within an SMC approach. We illustrate these ideas in a simulated data analysis and in applications.

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Stakeholders commonly agree that food systems need to be urgently reformed. Yet, how food systems should be reformed is extremely contested. Public international law and regulations are uniquely placed to influence and guide law, policy, programmes and action at regional, national and local levels. Although plenty of international legal instruments intersect with food-related issues, the international regulation of food systems is fragmented, understudied and contested. In order to address these issues, this paper maps and analyses the public international regulatory aspects of food production with a view to providing recommendations for reform. Accordingly, this paper brings together a variety of binding and non-binding international regulatory instruments that to varying degrees and from a range of angles deals with the first activity in the food system: food production. The following paper traces the regulatory tools from natural resources, to the farmers and farm workers that apply skill and experience, and finally to the different dimension of world trade in food. The various regulatory instruments identified, and their collective whole, will be analysed against a rights-based approach to food security.

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This work describes the development of a model of cerebral atrophic changes associated with the progression of Alzheimer's disease (AD). Linear registration, region-of-interest analysis, and voxel-based morphometry methods have all been employed to elucidate the changes observed at discrete intervals during a disease process. In addition to describing the nature of the changes, modeling disease-related changes via deformations can also provide information on temporal characteristics. In order to continuously model changes associated with AD, deformation maps from 21 patients were averaged across a novel z-score disease progression dimension based on Mini Mental State Examination (MMSE) scores. The resulting deformation maps are presented via three metrics: local volume loss (atrophy), volume (CSF) increase, and translation (interpreted as representing collapse of cortical structures). Inspection of the maps revealed significant perturbations in the deformation fields corresponding to the entorhinal cortex (EC) and hippocampus, orbitofrontal and parietal cortex, and regions surrounding the sulci and ventricular spaces, with earlier changes predominantly lateralized to the left hemisphere. These changes are consistent with results from post-mortem studies of AD.

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This article contributes to the theorization of the role of informal regulation (undertaken by leading firms) in the ongoing organization of global production networks. It does so through a qualitative case study of BHP Billiton's Ravensthorpe Nickel Operation (RNO) in the rural Shire of Ravensthorpe in Western Australia. This less tangible, and to date under-researched, dimension of global production networks is foregrounded through a focus on the corporate social responsibility strategy implemented by RNO in the service of achieving and/or demonstrating a broader ‘social licence to operate’. This ‘licence’ functions – beyond the corporation – as a legitimated and legitimating multi-scalar mechanism through which to gain and maintain access to mineral resources and thus to establish viable and ongoing global production networks. Further, this informal regulation is shown to shape social relations and qualities of place conducive to competitive global mineral extraction and to facilitate the positioning of local communities and places in mineral global production networks.

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The paper is a critical argument foregrounding race, the senses, and the materials of literacy practices. The author argues that counter-colonial literacies in the contemporary times require openly acknowledgement of the influences of white imperialism and racism in dominant schooling practices. The first concern is narrow conceptions of literacy and schooling that follow a white racial script, and which function as a form of historical reproduction, control, and privilege. The second is the need to acknowledge the need to rediscover the sensory nature of literacy practices that is intrinsic to many cultures, and which is transformed in human interactions with new digital forms of textual production. The final argument is the need to attend to the materiality of literacy practices, including the meanings connected to the material ecology. This principle is particularly relevant to Indigenous culture and experience, but likewise, to all digital environments where the materials of literacy practices are continually shifting.

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A central dimension of the State’s responsibility in a liberal democracy and any just society is the protection of individuals’ central rights and freedoms, and the creation of the minimum conditions under which each individual has an opportunity to lead a life of sufficient equality, dignity and value. A special subset of this responsibility is to protect those who are unable to protect themselves from genuine harm. Substantial numbers of children suffer serious physical, emotional and sexual abuse, and neglect at the hands of their parents and caregivers or by other known parties. Child abuse and neglect occurs in a situation of extreme power asymmetry. The physical, social, behavioural and economic costs to the individual, and the social and economic costs to communities, are vast. Children are not generally able to protect themselves from serious abuse and neglect. This enlivens both the State’s responsibility to protect the child, and the debate about how that responsibility can and should be discharged. A core question arises for all societies, given that most serious child maltreatment occurs in the family sphere, is unlikely to be disclosed, causes substantial harm to both individual and community, and infringes fundamental individual rights and freedoms. The question is: how can society identify these situations so that the maltreatment can be interrupted, the child’s needs for security and safety, and health and other rehabilitation can be met, and the family’s needs can be addressed to reduce the likelihood of recurrence? This chapter proposes a theoretical framework applicable for any society that is considering justifiable and effective policy approaches to identify and respond to cases of serious child abuse and neglect. The core of the theoretical framework is based on major principles from both classical liberal political philosophy (Locke and Mill), and leading political philosophers from the twentieth century and the first part of the new millennium (Rawls, Rorty, Okin, Nussbaum), and is further situated within fundamental frameworks of civil and criminal law, and health and economics.

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We know from anecdote and research, science and art, that human resilience is a powerful, seemingly ubiquitous force. What is needed is a better understanding of the properties, variations, and applications of that concept to health and well-being. In this paper we put forth two definitions of resilience: Sustainability of purpose in the face of stress, and recovery from adversity. We review current thinking in the social sciences on the nature of biological, psychological and socio-community processes that may confer resilience. In doing so, we encourage greater attention to aspects of biopsychosocial resourcefulness as a dimension of influence on health and mental health distinct from measures of risk found in standard models of public health inquiry. Multi-level, longitudinal, and intervention methods are advocated for research and applications of the concept with conceptual guidelines for the examination of laboratory, diary, and community indicator data on manifestations of resilience across the life span.

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Summary: This book explores the fascinating topic of heritage language learning, looking in particular at Chinese Australians' learning of Chinese. The author studies the investment, challenges and benefits of heritage language learning across varied contexts including school, work, home and in the community. The book investigates how Chinese Australians navigate and negotiate their Chineseness and how resources are used to support their learning. The book is based on a mixed methods study which uses Bourdieu's sociological theory, and offers implications for sociologists of language and education, Chinese heritage language learners and teachers, as well as language and cultural policy makers. Review: This book is a compelling account of the habitus of Chineseness in a world of mobility. It offers up a plethora of insights into the implication of heritage language learning in the constitution of Chinese identity; it makes available a sophisticated mixed methods approach for using the thinking tools of Pierre Bourdieu; it adds to these tools a nuanced cultural dimension. Karen Dooley, Queensland University of Technology, Australia In our increasingly trans-migratory world, language can be central to cultural identity. Dr Mu’s research breaks new ground by adapting Bourdieu’s insights to examine how cultural identity (‘Chinese-ness’) is linguistically learned and practiced in Australia. His remarkable book will interest educators and researchers grappling with how language pertains to identity. Tom Strong, University of Calgary, Canada A thought-provoking, highly engaging work that has deftly shown how Bourdieusian framework can be applied in the research field of literacy education and Heritage Language learning. A must-read for those interested in overseas Chinese communities and Heritage Language learning across various immigrant communities in general! Liang Du, Beijing Normal University, China

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Big Datasets are endemic, but they are often notoriously difficult to analyse because of their size, heterogeneity, history and quality. The purpose of this paper is to open a discourse on the use of modern experimental design methods to analyse Big Data in order to answer particular questions of interest. By appealing to a range of examples, it is suggested that this perspective on Big Data modelling and analysis has wide generality and advantageous inferential and computational properties. In particular, the principled experimental design approach is shown to provide a flexible framework for analysis that, for certain classes of objectives and utility functions, delivers near equivalent answers compared with analyses of the full dataset under a controlled error rate. It can also provide a formalised method for iterative parameter estimation, model checking, identification of data gaps and evaluation of data quality. Finally, it has the potential to add value to other Big Data sampling algorithms, in particular divide-and-conquer strategies, by determining efficient sub-samples.

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In this work, we study the fractal and multifractal properties of a family of fractal networks introduced by Gallos et al (2007 Proc. Nat. Acad. Sci. USA 104 7746). In this fractal network model, there is a parameter e which is between 0 and 1, and allows for tuning the level of fractality in the network. Here we examine the multifractal behavior of these networks, the dependence relationship of the fractal dimension and the multifractal parameters on parameter e. First, we find that the empirical fractal dimensions of these networks obtained by our program coincide with the theoretical formula given by Song et al (2006 Nature Phys. 2 275). Then from the shape of the τ(q) and D(q) curves, we find the existence of multifractality in these networks. Last, we find that there exists a linear relationship between the average information dimension 〈D(1)〉 and the parameter e.

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Variability is observed at all levels of cardiac electrophysiology. Yet, the underlying causes and importance of this variability are generally unknown, and difficult to investigate with current experimental techniques. The aim of the present study was to generate populations of computational ventricular action potential models that reproduce experimentally observed intercellular variability of repolarisation (represented by action potential duration) and to identify its potential causes. A systematic exploration of the effects of simultaneously varying the magnitude of six transmembrane current conductances (transient outward, rapid and slow delayed rectifier K(+), inward rectifying K(+), L-type Ca(2+), and Na(+)/K(+) pump currents) in two rabbit-specific ventricular action potential models (Shannon et al. and Mahajan et al.) at multiple cycle lengths (400, 600, 1,000 ms) was performed. This was accomplished with distributed computing software specialised for multi-dimensional parameter sweeps and grid execution. An initial population of 15,625 parameter sets was generated for both models at each cycle length. Action potential durations of these populations were compared to experimentally derived ranges for rabbit ventricular myocytes. 1,352 parameter sets for the Shannon model and 779 parameter sets for the Mahajan model yielded action potential duration within the experimental range, demonstrating that a wide array of ionic conductance values can be used to simulate a physiological rabbit ventricular action potential. Furthermore, by using clutter-based dimension reordering, a technique that allows visualisation of multi-dimensional spaces in two dimensions, the interaction of current conductances and their relative importance to the ventricular action potential at different cycle lengths were revealed. Overall, this work represents an important step towards a better understanding of the role that variability in current conductances may play in experimentally observed intercellular variability of rabbit ventricular action potential repolarisation.