996 resultados para Literary object


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Teachers listen attentively to the classroom conversations in which their students engage. This often involves delicate judgments about whether to stay silent or intervene. Should I move the discussion along by asking a question or making a comment? Or would it be better to allow the conversation to continue, however awkwardly the students might be expressing their insights? Awkward or not, there is value in providing opportunities for young people to find the words they need in order to converse with one another in classroom settings, building on each other’s sentences in an effort to jointly construct meaning and reach understanding.

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Regular expressions are used to parse textual data to match patterns and extract variables. They have been implemented in a vast number of programming languages with a significant quantity of research devoted to improving their operational efficiency. However, regular expressions are limited to finding linear matches. Little research has been done in the field of object-oriented results which would allow textual or binary data to be converted to multi-layered objects. This is significantly relevant as many of todaypsilas data formats are object-based. This paper extends our previous work by detailing an algorithmic approach to perform object-oriented parsing, and provides an initial study of benchmarks of the algorithms of our contribution

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The Parthenon is a unique example of a colonial Australian magazine published for girl readers by two aspirant writers, Ethel and Lilian Turner. In addition to its domestic content, typical of women's magazines, it also sought to contribute to nascent Australian literary culture. This article locates the Parthenon within the history of colonial women's publishing and literary culture, and situates its content within the context of the Woman Movement of the period. It reads the Parthenon's telling picture of young women's perceptions of colonial literary culture and of the need to balance literary aspirations with domestic responsibilities through the lens of the “expediency feminism” advocated by the Dawn, a women's magazine published by Louisa Lawson from 1888. The article argues that the Parthenon's superficially conservative opinion of women's supreme calling being in the home rather than the newspaper office or university library was in alignment with the arguments made by the Woman Movement to advocate for women's greater participation in the public sphere. The comparison of these contemporaneous monthly publications written and produced by women enables an understanding of the ways in which late nineteenth-century attempts to encourage women's careers and independence were grounded in domesticity.

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This thesis examines looking in literary and filmic representations to discover its aims and capacities beyond the conventional interpretations of the act as voyeurism.

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This article considers the relation between L'Etranger and Caligula, with Camus' philosophical discourse. It aims at mediocra firma between the idea that the literary 'absurds' just illustrate Camus' philosophy; and the idea that they are wholly autonomous from that philosophy. Following threads from Camus' own responses to Melville, du Gard and others, we argue that Meursault and the crazed emperor Caligula are not illustrations of the absurd, let alone Camusian ethical ideals. They embody 'temptations' to forms of philosophical suicide and murder Camus systematically opposed in his philosophical writings, whose paradigm in The Rebel is the Marquis de Sade. Rather than rebelling against the unjust irrationality of the world, these figures (either passively or actively) become agents of this irrationality. Camus the man, or his thinking, should not be identified with them, as such, any more than Shakespeare should be identified with his Iago, or sundry other villains.

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The purpose of this study is to prove the convergence of the simultaneous estimation of the optical flow and object state (SEOS) method. The SEOS method utilizes dynamic object parameter information when calculating optical flow in tracking a moving object within a video stream. Optical flow estimation for the SEOS method requires the minimization of an error function containing the object's physical parameter data. When this function is discretized, the Euler-Lagrange equations form a system of linear equations. The system is arranged such that its property matrix is positive definite symmetric, proving the convergence of the Gauss-Seidel iterative methods. The system of linear equations produced by SEOS can alternatively be resolved by Jacobi iterative schemes. The positive definite symmetric property is not sufficient for Jacobi convergence. The convergence of SEOS for a block diagonal Jacobi is proved by analysing the Euclidean norm of the Jacobi matrix. In this paper, we also investigate the use of SEOS for tracking individual objects within a video sequence. The illustrations provided show the effectiveness of SEOS for localizing objects within a video sequence and generating optical flow results.

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Deformation is the direct cause of heritage object collapse. It is significant to monitor and signal the early warnings of the deformation of heritage objects. However, traditional heritage object monitoring methods only roughly monitor a simple-shaped heritage object as a whole, but cannot monitor complicated heritage objects, which may have a large number of surfaces inside and outside. Wireless sensor networks, comprising many small-sized, low-cost, low-power intelligent sensor nodes, are more useful to detect the deformation of every small part of the heritage objects. Wireless sensor networks need an effective mechanism to reduce both the communication costs and energy consumption in order to monitor the heritage objects in real time. In this paper, we provide an effective heritage object deformation detection and tracking method using wireless sensor networks (EffeHDDT). In EffeHDDT, we discover a connected core set of sensor nodes to reduce the communication cost for transmitting and collecting the data of the sensor networks. Particularly, we propose a heritage object boundary detecting and tracking mechanism. Both theoretical analysis and experimental results demonstrate that our EffeHDDT method outperforms the existing methods in terms of network traffic and the precision of the deformation detection.