122 research outputs found
Komagata’s “Paperscapes”: Theatricality and Materiality in Blue to Blue
No full textU slikovnicama se tekst, slika i sama knjiga kao predmet međusobno natječu ili surađuju kako bi posredovali i predstavili pripovijed. Uključivanje materijalnih sastavnica u pripovjednu slikovnicu istodobno proširuje pojam čitanja preko granice čisto kognitivne aktivnosti: čitatelj izvodi i interpretira pripovijed na taj način tako što fizički surađuje s arhitektonskim prostorom knjige. U slikovnici Blue to Blue [Plavo do plavoga] Katsumija Komagate (1994), papir preuzima važnu pripovjednu ulogu umjesto povlačenja u ulogu dekorativne pozadine ili pukoga materijalnoga oslonca vizualnih i tekstualnih sastavnica. Osim što svojstva papira, kao na primjer tekstura, prozirnost i svjetlucavost, prizivaju značajke prikazanih krajolika i likova u priči, oblici papira i prorezi u njem također stvaraju dubinu i formiraju likove koji oživljavaju kad ih okreću, guraju ili miluju čitateljeve ruke.In picturebooks, the text, the image and the material book compete or cooperate with each other to convey and perform the narrative. The incorporation of material elements into the picturebook narrative at the same time extends reading beyond a purely cognitive activity: the reader enacts and interprets the narrative by interacting physically with the architectural space of the book. In Katsumi Komagata’s Blue to Blue, the paper steps forward to take up a significant narrative role rather than retreating as the decorative backdrop or mere material support for the visual and textual elements. Not only do the qualities of the paper like texture, transparency and luminosity evoke features of the landscapes and characters in the story, but the shapes of the paper and the die-cuts also create physical depth and form characters that spring into life at the turning, poking and caressing of the reader’s hands
Reading as Performance: Theatrical Books from Tristram Shandy to Artists\u27 Books for Children
No full textThis dissertation project explores the material book as a site of performance and reading as a process of theatricalization. To understand the phenomenological experience of reading, I focus on what I call theatrical books: books that activate their material surfaces to make us aware of our encounter with them. Theatrical books reveal reading as a process of continuous negotiation, a movement propelled by tension and they call attention to the theatrical elements of all book reading. My research takes up questions raised by Bert State’s study on the phenomenology of theater, Robin Bernstein’s work on scriptive things, Christopher Grobe’s idea of bookish performance, and Andrew Sofer’s concept of dark matter, and extends them both backward in time to the eighteenth-century and outward into puppet studies and into reading practices in everyday life. I bring into conversation early printed books, like the first edition of Laurence Sterne’s The Life and Opinions of Tristram Shandy (1759), with modern and contemporary artists’ books by Keith Godard, Remy Charlip, Bruno Munari, Shingu Susumu, Suzy Lee, and Komagata Katsumi, highlighting the book as not only an animate thing that scripts meaningful bodily movements but also a powerful interface from which imagination of virtual actions and events takes flight
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Machine Learning-Based Decision Support to Enhance the Seismic Resilience of Distributed Infrastructure
No full textSeismic resilience of infrastructure has received growing attention in the past decades. Thisdissertation aims to propose a general decision support framework for the post-earthquake damage
and recovery of distributed infrastructures in order to improve their resilience. A damage
assessment framework is first proposed that incorporates a neural network-based pre-event
assessment model, and a graph neural network-based model for dynamically updating the damage
estimates in the recovery process. Next, a spatially explicit model is developed to quantify and
estimate the possible recovery trajectory based on the Gaussian Process model. Finally, a deep
reinforcement learning based framework is proposed to optimize the repair actions in the recovery
process. The framework can provide critical insights to the recovery of distributed infrastructure
and improve pre-event planning and post-earthquake recovery tasks
A high-performance and energy-efficient FIR adaptive filter using approximate distributed arithmetic circuits
No full textIn this paper, a fixed-point finite impulse response adaptive filter is proposed using approximate distributed arithmetic (DA) circuits. In this design, the radix-8 Booth algorithm is used to reduce the number of partial products in the DA architecture, although no multiplication is explicitly performed. In addition, the partial products are approximately generated by truncating the input data with an error compensation. To further reduce hardware costs, an approximate Wallace tree is considered for the accumulation of partial products. As a result, the delay, area, and power consumption of the proposed design are significantly reduced. The application of system identification using a 48-Tap bandpass filter and a 103-Tap high-pass filter shows that the approximate design achieves a similar accuracy as its accurate counterpart. Compared with the state-of-The-Art adaptive filter using bit-level pruning in the adder tree (referred to as the delayed least mean square (DLMS) design), it has a lower steady-state mean squared error and a smaller normalized misalignment. Synthesis results show that the proposed design attains on average a 55% reduction in energy per operation (EPO) and a 3.2\times throughput per area compared with an accurate design. Moreover, the proposed design achieves 45%-61% lower EPO compared with the DLMS design. A saccadic system using the proposed approximate adaptive filter-based cerebellar model achieves a similar retinal slip as using an accurate filter. These results are promising for the large-scale integration of approximate circuits into high-performance and energy-efficient systems for error-resilient applications.Accepted Author ManuscriptBiomechatronics & Human-Machine Contro
The relationship between proportions of carbohydrate and fat intake and hyperglycaemia risk in Chinese adults
No full textAbstract
Objective:
To address the relationship between the proportions of carbohydrates and fat and hyperglycaemia in the Chinese population.
Design:
A cross-section research involving data from the China Health and Nutrition Survey in 2009, and nutritional status and health indicators were mainly focused.
Setting:
China.
Participants:
8197 Chinese individuals aged over 16 years, including 1345 subjects who had a low-carbohydrate and high-fat diet, 3951 individuals who had a medium proportion of carbohydrate and fat diet, 2660 participants who had a high-carbohydrate and low-fat diet and 241 people who had a very-high-carbohydrate and low-fat diet.
Results:
Subjects with the high-carbohydrate and low-fat diet were significantly associated with an increased risk of hyperglycaemia (OR: 1·142; 95 % CI: 1·022, 1·276) when compared with the individuals with the medium proportion of carbohydrate and fat diet. Meanwhile, people with a very-high-carbohydrate and low-fat diet had a higher risk of hyperglycaemia (OR: 1·829; 95 % CI: 1·377, 2·429). In contrast, the association between participants with a low-carbohydrate and high-fat diet and hyperglycaemia was NS (OR: 1·082; 95 % CI: 0·942, 1·243) with adjusting a series of confounding factors. Furthermore, people with a very-high-carbohydrate and low-fat diet were significantly associated with a higher risk of hyperglycaemia in the major energy levels and social characteristics subgroup.
Conclusions:
We found the high-carbohydrate and low-fat and very-high-carbohydrate and low-fat diets were significantly associated with a high risk of hyperglycaemia. And, the association between low-carbohydrate and high-fat diets and the risk of hyperglycaemia was NS
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