408 resultados para Orthographic representations


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The 2000s were marked by a resurgence of interest in creativity and cities. If the rapid global proliferation of the Internet and digital media technologies in the 1990s had set off enthusiasm for a post-industrial ‘new economy’, where the significance of location would be in decline, the 2000s saw an energetic search by artists, entrepreneurs, investors, policy-makers, journalists and many others to uncover the well-springs of creativity and its relationship to place (Flew 2012a). This chapter begins with a discussion of the discourses or ‘scripts’ that have emerged to try and conceptualise the relationship between creativity and cities, notably theories of creative clusters, creative cities and creative class theories. Such work can be seen as representing a growth in the field of cultural economic geography although – as is noted in the chapter – it possesses some significant gaps. Among the issues that are drawn out in this book, and discussed in this chapter, are: the need to move beyond ‘imagined geographies’ of creative inner cities and come to terms with empirical evidence that suggests significant concentrations of the creative workforce in suburbs and regional cities; the relevance of urban cultural policy as a variable in the rise of cities as creative hubs or, in a different model, media capitals; and the challenges of bringing together cultural research with economic discourses in ways that get beyond caricatured representations of the ‘other’, as found, for instance, in some of the most influential framings of the concept of neo-liberalism.

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This paper addresses the issue of analogical inference, and its potential role as the mediator of new therapeutic discoveries, by using disjunction operators based on quantum connectives to combine many potential reasoning pathways into a single search expression. In it, we extend our previous work in which we developed an approach to analogical retrieval using the Predication-based Semantic Indexing (PSI) model, which encodes both concepts and the relationships between them in high-dimensional vector space. As in our previous work, we leverage the ability of PSI to infer predicate pathways connecting two example concepts, in this case comprising of known therapeutic relationships. For example, given that drug x TREATS disease z, we might infer the predicate pathway drug x INTERACTS WITH gene y ASSOCIATED WITH disease z, and use this pathway to search for drugs related to another disease in similar ways. As biological systems tend to be characterized by networks of relationships, we evaluate the ability of quantum-inspired operators to mediate inference and retrieval across multiple relations, by testing the ability of different approaches to recover known therapeutic relationships. In addition, we introduce a novel complex vector based implementation of PSI, based on Plate’s Circular Holographic Reduced Representations, which we utilize for all experiments in addition to the binary vector based approach we have applied in our previous research.

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This book explores the relationship between gender and power in Burmese history from pre-colonial times to the present day and aims to identify the sources, nature and limitations of women’s power. The study takes as its starting point the apparent contradiction that, though Burmese women historically enjoyed relatively high social status and economic influence, for the most part they remained conspicuously absent from positions of authority in formal religious, social and political institutions. The book thus examines the concept of ‘family’ in Burmese political culture, and reveals how some women were able to gain political influence through their familial connections with powerful men, even while cultural models of ‘correct’ female behaviour prevented most women from attaining official positions of political authority. The study also considers how various influences – Buddhism, colonialism, nationalism, modernisation and militarism – shaped Burmese concepts of gender and power, with important implications for how women were able to exercise social, economic and political influence. The book explores how the effects of prolonged armed conflict, economic isolation and political oppression have constrained opportunities for women to attain power in contemporary Burma, and examines opportunities opened up by the pro-democracy movement and recent focus on women's issues and rights for women to exercise influence both inside Burma and in exile. Using an interdisciplinary approach that draws on feminist, anthropological and social science discourses, placing them within an historical framework, the author offers a broad understanding of how power is obtained and exercised in Burma in order to reassess historical representations of Burmese women and so provide a more comprehensive and inclusive understanding of power relations in historical and contemporary Burma.

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This paper explores one of the ways in which the Somerset region in the United Kingdom, devastated by the foot and mouth epidemic in 2001, is trying to free itself from recurring negative representations and create more positive images of the area. After the epidemic projects were sought that would promote a more positive image and draw tourists back to the area. One of these projects drew on literary tourism to reinvigorate the site. A Walking and Bridle trail called the ‘Coleridge Way Walk’ has been implemented to take the images of the area from ones of disease and dirtiness to ones of Romantic longing. The Coleridge Way Walk uses past imaginings to re-energise the area. This energy, in part, comes from ‘re-imagining’ the site through past imaginings. The Coleridge Way Walk uses the past to create future direction for the once tainted area.

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Detailed representations of complex flow datasets are often difficult to generate using traditional vector visualisation techniques such as arrow plots and streamlines. This is particularly true when the flow regime changes in time. Texture-based techniques, which are based on the advection of dense textures, are novel techniques for visualising such flows. We review two popular texture based techniques and their application to flow datasets sourced from active research projects. The techniques investigated were Line integral convolution (LIC) [1], and Image based flow visualisation (IBFV) [18]. We evaluated these and report on their effectiveness from a visualisation perspective. We also report on their ease of implementation and computational overheads.

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Wound debridement refers to the removal of necrotic, devitalized, or contaminated tissue and/or foreign material to promote wound healing. Surgical debridement uses sharp instruments to cut dead tissue from a wound and it is the quickest and most efficient method of debridement. A wound debridement simulator [1,2] can ensure that a medical trainee is competent prior to performing a procedure on a genuine patient. Irrigation is performed at different stages of debridement in order to remove debris and reduce the bacteria count through rinsing the wound. This paper presents a novel approach for realistic irrigation visualization based on texture representations of debris. This approach applies image processing techniques to a series of images, which model the cleanliness of the wound. The active texture is generated and updated dynamically based on the irrigation state, location, and range. Presented results demonstrate that texture mapping and image processing techniques can provide effective and efficient solutions for irrigation visualization in the wound debridement simulator.

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The work by graduate teachers in this volume represent intentional design of learning experiences using technology for Early Childhood settings. They were given a two-part design task: a sequence of lessons organised around a themed project; and the collection of resources to support such activities. The project had to be constructive in nature where the children built objects and representations that were meaningful to them. The excellent works presented here offer a range of approaches that would be suitable in a variety of contexts. Because they are reasoned, these projects offer flexibility in implementation along with confidence that they would be effective.

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longitudinal study of data modelling across grades 1-3. The activity engaged children in designing, implementing, and analysing a survey about their new playground. Data modelling involves investigations of meaningful phenomena, deciding what is worthy of attention (identifying complex attributes), and then progressing to organising, structuring, visualising, and representing data. The core components of data modelling addressed here are children’s structuring and representing of data, with a focus on their display of metarepresentational competence (diSessa, 2004). Such competence includes students’ abilities to invent or design a variety of new representations, explain their creations, understand the role they play, and critique and compare the adequacy of representations. Reported here are the ways in which the children structured and represented their data, the metarepresentational competence displayed, and links between their metarepresentational competence and conceptual competence.

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This paper describes a process undertaken to develop and review five clinical vignettes to be used in geriatric nursing educational research. The purpose of this process was to provide valid depictions of delirium and its subtypes and distinguish delirium from dementia. Five vignettes depicting hospital bedside interactions between nursing staff, family, and an older patient who displayed signs of one of the following conditions: delirium (hyper and hypo-active types respectively), dementia, or delirium (both types) superimposed on dementia were constructed. Vignette accuracy and reliability was established using a multistage process that culminated in formal review by a group of ten international nursing and medical delirium experts. The final five vignettes accurately depicted the given scenario as agreed by the experts and were at an appropriate level of simplicity and clarity. Given the increased interest in vignettes for both nursing research and educational purposes, the described method of vignette development and review has the ability to assist other vignette developers in creating reliable representations of their desired clinical scenarios.

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The aim of this paper is to provide a comparison of various algorithms and parameters to build reduced semantic spaces. The effect of dimension reduction, the stability of the representation and the effect of word order are examined in the context of the five algorithms bearing on semantic vectors: Random projection (RP), singular value decom- position (SVD), non-negative matrix factorization (NMF), permutations and holographic reduced representations (HRR). The quality of semantic representation was tested by means of synonym finding task using the TOEFL test on the TASA corpus. Dimension reduction was found to improve the quality of semantic representation but it is hard to find the optimal parameter settings. Even though dimension reduction by RP was found to be more generally applicable than SVD, the semantic vectors produced by RP are somewhat unstable. The effect of encoding word order into the semantic vector representation via HRR did not lead to any increase in scores over vectors constructed from word co-occurrence in context information. In this regard, very small context windows resulted in better semantic vectors for the TOEFL test.

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This chapter provides an overview of the contribution of feminist criminologies to understandings of the complex intersections between sex, gender and crime. Dozens of scholars and activists have participated in these debates over the past four decades. For our contribution to this handbook, we interviewed ten distinguished scholars whose contributions are recognized internationally. Through the commentary provided by these scholars, this chapter examines some of the distinctive contributions of feminism to our knowledge about sex, gender, and crime, as well as some of the challenges it continues to face in the field of criminology. We conclude that feminist work within criminology continues to face a number of lingering challenges, most notably in relation to the struggle to maintain relevance in a world where concerns about gender inequality are marginalized and considered as historical relics not contemporary issues; where there are on-going tensions around the best strategies for change, as well as difficulties in challenging distorted representations of female crime and violence; and where a backlash, anti-feminist politics seeks to discredit explanations that draw a link between sex, gender, and crime. This chapter critically reviews these lingering challenges—locating feminist approaches (of which there are many) at the centre and not the periphery of advancing knowledge about gender, sex, and crime.

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At common law, a corporation may be liable vicariously for the conduct of its appointed agents, employees or directors. This generally requires the agent or employee to be acting in the course of his or her agency or employment and, in the case of representations, to have actual or implied authority to make the representations. The circumstances in which a corporation may be liable for the conduct of its agents, employees or directors is broadened under the Australian Consumer Law (ACL) to where one of these parties engages in conduct “on behalf of” the corporation. As the decision in Bennett v Elysium Noosa Pty Ltd (in liq) demonstrates, this may extend to liability for the misleading conduct of a salesperson for the joint venture to parties who are not formal members of the joint venture, but where the joint venture activities are within the course of the entity’s “business, affairs or activities”.

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This paper presents a graph-based method to weight medical concepts in documents for the purposes of information retrieval. Medical concepts are extracted from free-text documents using a state-of-the-art technique that maps n-grams to concepts from the SNOMED CT medical ontology. In our graph-based concept representation, concepts are vertices in a graph built from a document, edges represent associations between concepts. This representation naturally captures dependencies between concepts, an important requirement for interpreting medical text, and a feature lacking in bag-of-words representations. We apply existing graph-based term weighting methods to weight medical concepts. Using concepts rather than terms addresses vocabulary mismatch as well as encapsulates terms belonging to a single medical entity into a single concept. In addition, we further extend previous graph-based approaches by injecting domain knowledge that estimates the importance of a concept within the global medical domain. Retrieval experiments on the TREC Medical Records collection show our method outperforms both term and concept baselines. More generally, this work provides a means of integrating background knowledge contained in medical ontologies into data-driven information retrieval approaches.

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The challenge of persistent appearance-based navigation and mapping is to develop an autonomous robotic vision system that can simultaneously localize, map and navigate over the lifetime of the robot. However, the computation time and memory requirements of current appearance-based methods typically scale not only with the size of the environment but also with the operation time of the platform; also, repeated revisits to locations will develop multiple competing representations which reduce recall performance. In this paper we present a solution to the persistent localization, mapping and global path planning problem in the context of a delivery robot in an office environment over a one-week period. Using a graphical appearance-based SLAM algorithm, CAT-Graph, we demonstrate constant time and memory loop closure detection with minimal degradation during repeated revisits to locations, along with topological path planning that improves over time without using a global metric representation. We compare the localization performance of CAT-Graph to openFABMAP, an appearance-only SLAM algorithm, and the path planning performance to occupancy-grid based metric SLAM. We discuss the limitations of the algorithm with regard to environment change over time and illustrate how the topological graph representation can be coupled with local movement behaviors for persistent autonomous robot navigation.

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Understanding complex systems within the human body presents a unique challenge for medical engineers and health practitioners. One significant issue is the ability to communicate their research findings to audiences with limited medical knowledge or understanding of the behaviour and composition of such structures. Much of what is known about the human body is currently communicated through abstract representations which include raw data sets, hand drawn illustrations or cellular automata. The development of 3D Computer Graphics Animation has provided a new medium for communicating these abstract concepts to audiences in new ways. This paper presents an approach for the visualisation of human articular cartilage deterioration using 3D Computer Graphics Animation. The animated outcome of this research introduces the complex interior structure of human cartilage to audiences with limited medical engineering knowledge.