17,823 research outputs found

    Desarrollo de papeles biocativos por injerto de moléculas específicas en celulosa

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    Tesis (DCI)--FCEFN-UNC, 2019En la presente tesis se presenta el desarrollo de papeles bioactivos con potencial aplicación en el envasado activo de alimentos. Para tal fin, se propuso el injerto de eugenol, un compuesto de origen natural con propiedades antimicrobiana, antioxidante y repelente de insectos, en celulosa, utilizando ácido policarboxílico como agente ligante. Con el objetivo de evaluar la escalabilidad del proceso propuesto, se estudiaron distintas tecnologías de curado, tales como calentamiento por convección, infrarrojo, microondas y conducción. En todos los casos, se analizaron la influencia de las variables operativas sobre el avance de la reacción y propiedades finales del papel preparado, utilizando un diseño de experimentos Doehlert para elegir las experiencias a realizar, y analizando los resultados mediante metodología de superficie de respuesta y análisis estadístico ANOVA. Se pudo comprobar que la reacción de injerto de eugenol en papel comercial se produjo con éxito en todas las tecnologías estudiadas. Asimismo, se encontraron las condiciones óptimas de reacción para cada una de las tecnologías, para lo cual se buscó un compromiso entre el avance de la reacción y las propiedades finales del material (mecánicas y color). A partir de estas condiciones, se prepararon papeles y se realizó una caracterización más específica para su aplicación como envase de alimentos comparando los papeles modificados con el papel virgen. Se analizaron las propiedades mecánicas por ensayo de tracción, rasgado y punzonado y se midió la absorción de agua y la capacidad de degradación. Por otro lado, las propiedades bioactivas analizadas fueron la actividad antioxidante, antimicrobiana, repelente e insecticida de gorgojos (T. castaneum y R. dominica). Una vez probado que el papel modificado presenta buenas características físicas y bioactivas para su posible aplicación en el envasado de alimentos, se realizaron prototipos de envasado para harina, como alimento representativo de alimentos derivados de cereales, susceptibles al ataque de plagas. En este estudio se analizó la migración de reactivos, propiedades organolépticas y conservación del alimento, arrojando resultados promisorios para la industria de envases de alimentos. Finalmente, se realizó una comparación de las tecnologías de curado ensayadas, analizando diferentes aspectos como avance de reacción, propiedades finales, apariencia, tiempo de reacción, consumo de energía, entre otros, como así también disponibilidad y uso de estas tecnologías a escala industrial, seleccionando la tecnología de conducción como la más adecuada para una propuesta de escalado industrial.Fil: Muratore, Florencia. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Fil: Muratore, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigación y Desarrollo en Ingeniería de Procesos y Química Aplicada; Argentina

    Building body identities - exploring the world of female bodybuilders

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    This thesis explores how female bodybuilders seek to develop and maintain a viable sense of self despite being stigmatized by the gendered foundations of what Erving Goffman (1983) refers to as the 'interaction order'; the unavoidable presentational context in which identities are forged during the course of social life. Placed in the context of an overview of the historical treatment of women's bodies, and a concern with the development of bodybuilding as a specific form of body modification, the research draws upon a unique two year ethnographic study based in the South of England, complemented by interviews with twenty-six female bodybuilders, all of whom live in the U.K. By mapping these extraordinary women's lives, the research illuminates the pivotal spaces and essential lived experiences that make up the female bodybuilder. Whilst the women appear to be embarking on an 'empowering' radical body project for themselves, the consequences of their activity remains culturally ambivalent. This research exposes the 'Janus-faced' nature of female bodybuilding, exploring the ways in which the women negotiate, accommodate and resist pressures to engage in more orthodox and feminine activities and appearances

    Factors shaping future use and design of academic library space

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    COVID is having immediate and long-term impacts on the use of libraries. But these changes will probably not alter the importance of the academic library as a space. In the decade pre COVID libraries saw a growing number of visits, despite the increasing availability of material digitally. The first part of the paper offers an analysis of the factors driving this growth, such as changing pedagogies, diversification in the student body, new technologies plus tighter estates management. Barriers to change such as academic staff readiness, cost, and slow decision making are also presented. Then, the main body of the paper discusses emerging factors which are likely to further shape the use of library space, namely: concerns with student well-being; sustainability; equality, diversity and inclusion, and decolonisation; increasing co-design with students; and new technologies. A final model captures the inter-related factors shaping use and design of library space post COVID

    Queer spies in British Cold War culture: literature, film, theatre and television

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    This PhD thesis investigates how male homosexuality has been represented in British spy fiction from the 1950s to the 2010s in multiple media: literature, film, television and theatre. Due mainly to the betrayal of the Cambridge Spy ring around the middle of the century, British culture has associated spies with homosexuality, while the wider Anglophone world was in the grip of a homophobic atmosphere created by McCarthy's Red Scare. My thesis explores how this history is reflected in the spy genre from the Cold War to the present, in which male homosexuality and secret agency intersect as “queer”, in so far as they were both considered to be discreet and criminal, existing outside of the heteronormative order. By following multiple texts across media and time, I discuss how some writers, television and film directors and actors update queer identity in spy fiction, creating a shifting image of queer spies through decades. I refer to the findings of adaptation studies and queer studies, along with numerous studies on spy fiction. I conclude that the interrelation of different media has contributed to the re-drawing of queer identity in spy fiction. These developments have enabled the spies' queer identity to transcend its pejorative history in British culture, towards its more flexible and pliant sense which is designated by the term's modern usage. I also discuss that spies’ homosexuality has been represented as a fleeting ghost in most of the texts examined, hovering on the margins of pages and screen. Although homosexuality is not “the love that dare not speak its name” anymore, clandestine queer spies have been preserved as spectral others in the genre for many years. Spy fiction is a cultural repository retaining the memory of violence inflicted against those who have been called “queer” in twentieth century Britain, and the spectral nature of queer spies narrates this history reaching back to the Oscar Wilde trial in 1895, from which point British queer identity as we know now developed. This thesis benefits the study of spy fiction by filling a gap in the investigation of homosexual representation. It also contributes to the field of gender studies of literature, film, television, and theatre by illustrating queer history in a genre which has not received a great deal of focus on its representation of homosexuality. Spy fiction occupies a central position in British popular culture, and by exploring this genre in terms of homosexuality, this research will identify the role which same-sex desire has historically played in the British cultural imagination

    Data-to-text generation with neural planning

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    In this thesis, we consider the task of data-to-text generation, which takes non-linguistic structures as input and produces textual output. The inputs can take the form of database tables, spreadsheets, charts, and so on. The main application of data-to-text generation is to present information in a textual format which makes it accessible to a layperson who may otherwise find it problematic to understand numerical figures. The task can also automate routine document generation jobs, thus improving human efficiency. We focus on generating long-form text, i.e., documents with multiple paragraphs. Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or its variants. These models generate fluent (but often imprecise) text and perform quite poorly at selecting appropriate content and ordering it coherently. This thesis focuses on overcoming these issues by integrating content planning with neural models. We hypothesize data-to-text generation will benefit from explicit planning, which manifests itself in (a) micro planning, (b) latent entity planning, and (c) macro planning. Throughout this thesis, we assume the input to our generator are tables (with records) in the sports domain. And the output are summaries describing what happened in the game (e.g., who won/lost, ..., scored, etc.). We first describe our work on integrating fine-grained or micro plans with data-to-text generation. As part of this, we generate a micro plan highlighting which records should be mentioned and in which order, and then generate the document while taking the micro plan into account. We then show how data-to-text generation can benefit from higher level latent entity planning. Here, we make use of entity-specific representations which are dynam ically updated. The text is generated conditioned on entity representations and the records corresponding to the entities by using hierarchical attention at each time step. We then combine planning with the high level organization of entities, events, and their interactions. Such coarse-grained macro plans are learnt from data and given as input to the generator. Finally, we present work on making macro plans latent while incrementally generating a document paragraph by paragraph. We infer latent plans sequentially with a structured variational model while interleaving the steps of planning and generation. Text is generated by conditioning on previous variational decisions and previously generated text. Overall our results show that planning makes data-to-text generation more interpretable, improves the factuality and coherence of the generated documents and re duces redundancy in the output document

    Upgrading Urban Services Through BPL: Practical Applications for Smart Cities

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    Current initiatives related to smart cities in LATAM reveal an increasing interest in the improvement of cities and the wellbeing of their citizens. In addition, specific working groups have been created for this purpose. In this sense, the communication technologies set the basis for gathering, transporting, and managing the large amount of data generated in cities to provide a wide range of services. Within the many alternatives available, BPL positions as a promising technology, since smart cities can greatly benefit of its higher data rates and low latency. In addition, since the medium is already deployed and most of the assets and sensors are connected to the same medium, the cost of the communication systems will be reduced in price and simplicity. The work presents four practical applications: smart buildings, urban lighting, energy assets management and broadband access, in which the possibilities and advantages of BPL are further addressed. Finally, some conclusions and key aspects relating BPL to the success of smart cities are identified.Eusko Jaurlaritza IT-1234-19, KK-202

    Fuzzy Perceptron Learning for Non-Linearly Separable Patterns

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    Perceptron learning has its wide applications in identifying interesting patterns in the large data repositories. While iterating through their learning process perceptrons update the weights, which are associated with the input data objects or data vectors. Though perceptrons exhibit their robustness in learning about interesting patterns, they perform well in identifying the linearly separable patterns only. In the real world, however, we can find overlapping patterns, where objects may associate with multiple patterns. In such situations, a clear-cut identification of patterns is not possible in a linearly separable manner. On the other hand, fuzzy-based learning has its wide applications in identifying non-linearly separable patterns. The present work attempts to experiment with the algorithms for fuzzy perceptron learning, where perceptron learning and fuzzy-based learning techniques are implemented in an interfusion manner
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