The Experts below are selected from a list of 300 Experts worldwide ranked by ideXlab platform
Per F V Hasle - One of the best experts on this subject based on the ideXlab platform.
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the persuasive expansion rhetoric information architecture and Conceptual Structure
International Conference on Conceptual Structures, 2006Co-Authors: Per F V HasleAbstract:Conceptual Structures are, as a rule, approached from logical perspectives in a broad sense. However, since Antiquity there has been another approach to Conceptual Structures in thought and language, namely the rhetorical tradition. The relationship between these two grand traditions of Western Thought, Logic and Rhetoric, is complicated and sometimes uneasy – and yet, both are indispensable, as it would seem. Certainly, a (supposedly) practical field such as Information Architecture bears witness to the fact that for those who actually strive to work out IT systems Conceptually congenial to human users, rhetorical and logical considerations intertwine in an almost inextricable manner.
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ICCS - The persuasive expansion: rhetoric, information architecture, and Conceptual Structure
Conceptual Structures: Inspiration and Application, 2006Co-Authors: Per F V HasleAbstract:Conceptual Structures are, as a rule, approached from logical perspectives in a broad sense. However, since Antiquity there has been another approach to Conceptual Structures in thought and language, namely the rhetorical tradition. The relationship between these two grand traditions of Western Thought, Logic and Rhetoric, is complicated and sometimes uneasy – and yet, both are indispensable, as it would seem. Certainly, a (supposedly) practical field such as Information Architecture bears witness to the fact that for those who actually strive to work out IT systems Conceptually congenial to human users, rhetorical and logical considerations intertwine in an almost inextricable manner.
Jonathan B Freeman - One of the best experts on this subject based on the ideXlab platform.
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the neural representation of facial emotion categories reflects Conceptual Structure
Proceedings of the National Academy of Sciences of the United States of America, 2019Co-Authors: Jeffrey A Brooks, Junichi Chikazoe, Norihiro Sadato, Jonathan B FreemanAbstract:Humans reliably categorize configurations of facial actions into specific emotion categories, leading some to argue that this process is invariant between individuals and cultures. However, growing behavioral evidence suggests that factors such as emotion-concept knowledge may shape the way emotions are visually perceived, leading to variability—rather than universality—in facial-emotion perception. Understanding variability in emotion perception is only emerging, and the neural basis of any impact from the Structure of emotion-concept knowledge remains unknown. In a neuroimaging study, we used a representational similarity analysis (RSA) approach to measure the correspondence between the Conceptual, perceptual, and neural representational Structures of the six emotion categories Anger, Disgust, Fear, Happiness, Sadness, and Surprise. We found that subjects exhibited individual differences in their Conceptual Structure of emotions, which predicted their own unique perceptual Structure. When viewing faces, the representational Structure of multivoxel patterns in the right fusiform gyrus was significantly predicted by a subject’s unique Conceptual Structure, even when controlling for potential physical similarity in the faces themselves. Finally, cross-cultural differences in emotion perception were also observed, which could be explained by individual differences in Conceptual Structure. Our results suggest that the representational Structure of emotion expressions in visual face-processing regions may be shaped by idiosyncratic Conceptual understanding of emotion categories.
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the Conceptual Structure of face impressions
Proceedings of the National Academy of Sciences of the United States of America, 2018Co-Authors: Ryan Mayer Stolier, Eric Hehman, Mirella Walker, Matthias Keller, Jonathan B FreemanAbstract:Humans seamlessly infer the expanse of personality traits from others’ facial appearance. These facial impressions are highly intercorrelated within a Structure known as “face trait space.” Research has extensively documented the facial features that underlie face impressions, thus outlining a bottom-up fixed architecture of face impressions, which cannot account for important ways impressions vary across perceivers. Classic theory in impression formation emphasized that perceivers use their lay Conceptual beliefs about how personality traits correlate to form initial trait impressions, for instance, where trustworthiness of a target may inform impressions of their intelligence to the extent one believes the two traits are related. This considered, we explore the possibility that this lay “Conceptual trait space”—how perceivers believe personality traits correlate in others—plays a role in face impressions, tethering face impressions to one another, thus shaping face trait space. In study 1, we found that Conceptual and face trait space explain considerable variance in each other. In study 2, we found that participants with stronger Conceptual associations between two traits judged those traits more similarly in faces. Importantly, using a face image classification task, we found in study 3 that participants with stronger Conceptual associations between two traits used more similar facial features to make those two face trait impressions. Together, these findings suggest lay beliefs of how personality traits correlate may underlie trait impressions, and thus face trait space. This implies face impressions are not only derived bottom up from facial features, but also shaped by our Conceptual beliefs.
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The Conceptual Structure of face impressions
2018Co-Authors: Ryan Mayer Stolier, Eric Hehman, Matthias David Keller, Mirella Walker, Jonathan B FreemanAbstract:This is a preprint of this manuscript, published at the Proceedings of the National Academy of Sciences of the United States of America (http://www.pnas.org/content/early/2018/08/22/1807222115), version dated July 30th, 2018 (date will be updated with preprint, old versions documented by OSF). Project data and analysis materials are available online: https://osf.io/z23kf/.
Yoshiyuki Inagaki - One of the best experts on this subject based on the ideXlab platform.
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Conceptual Structure Design of High Temperature Isolation Valve for High Temperature Gas Cooled Reactor
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2011Co-Authors: Shoji Takada, Yoshiyuki InagakiAbstract:The high temperature isolation valve (HTIV) is a key component to assure the safety of a high temperature gas cooled reactor connected with a hydrogen production system for protections of radioactive material release from the reactor to the hydrogen production system as well as of combustible gas ingress to the reactor at the accident of fracture of an intermediate heat exchanger and the chemical reactor. However, the HTIV has not been made for practical use in the helium condition over 900°C yet. The Conceptual Structure design of an angle type HTIV was carried out. A seat made of Hasteloy-XR is welded inside a valve box. Internal thermal insulation is employed around the seat and a liner because the high temperature helium gas flows inside the valve. The inner diameter of the top of seat was set 445 mm based on fabrication experiences of valve makers. A draft overall Structure was proposed based on the diameter of the seat. The numerical analysis was carried out to estimate the temperature distribution and stress of metallic components by using a three-dimensional finite element method code. Numerical results showed that the temperature of the seat was simply decreased from the top around 900°C to the root, and the thermal stress locally increased at the root of the seat, which was connected with the valve box. The stress was lowered below the allowable limit 120 MPa by decreasing the thickness of the connecting part and increasing the temperature of the valve box to around 350°C. The stress also increased at the top of the seat. Creep analysis revealed that the intactness of the HTIV is kept after the assumed operation cycles of the plant life as well as at the depressurization accident.
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Conceptual Structure Design of High Temperature Isolation Valve for High Temperature Gas Cooled Reactor
18th International Conference on Nuclear Engineering: Volume 6, 2010Co-Authors: Shoji Takada, Yoshiyuki InagakiAbstract:The high temperature isolation valve (HTIV) is a key component to assure the safety of a high temperature gas cooled reactor (HTGR) connected with a hydrogen production system, that is, protection of radioactive material release from the reactor to the hydrogen production system and combustible gas ingress to the reactor at the accident of fracture of an intermediate heat exchanger and the chemical reactor. The HTIV used in the helium condition over 900 °C, however, has not been made for practical use yet. The Conceptual Structure design of an angle type HTIV was carried out. A seat made of Hasteloy-XR is welded inside a valve box. Internal thermal insulation is employed around the seat and a liner because high temperature helium gas over 900 °C flows inside the valve. Inner diameter of the top of seat was set 445 mm based on fabrication experiences of valve makers. A draft overall Structure was proposed based on the diameter of seat. The numerical analysis was carried out to estimate temperature distribution and stress of metallic components by using a three-dimensional finite element method code. Numerical results showed that the temperature of the seat was simply decreased from the top around 900 °C to the root, and the thermal stress locally increased at the root of the seat which was connected with the valve box. The stress was lowered below the allowable limit 120 MPa by decreasing thickness of the connecting part and increasing the temperature of valve box to around 350 °C. The stress also increased at the top of the seat. Creep analysis was also carried out to estimate a creep-fatigue damage based on the temperature history of the normal operation and the depressurization accident.Copyright © 2010 by ASME
Peter C H Cheng - One of the best experts on this subject based on the ideXlab platform.
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probably good diagrams for learning representational epistemic recodification of probability theory
Topics in Cognitive Science, 2011Co-Authors: Peter C H ChengAbstract:The representational epistemic approach to the design of visual displays and notation systems advocates encoding the fundamental Conceptual Structure of a knowledge domain directly in the Structure of a representational system. It is claimed that representations so designed will benefit from greater semantic transparency, which enhances comprehension and ease of learning, and plastic generativity, which makes the meaningful manipulation of the representation easier and less error prone. Epistemic principles for encoding fundamental Conceptual Structures directly in representa- tional schemes are described. The diagrammatic recodification of probability theory is undertaken to demonstrate how the fundamental Conceptual Structure of a knowledge domain can be analyzed, how the identified Conceptual Structure may be encoded in a representational system, and the cognitive benefits that follow. An experiment shows the new probability space diagrams are superior to the conventional approach for learning this Conceptually challenging topic.
Ramez Elmasri - One of the best experts on this subject based on the ideXlab platform.
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Learning Rules for Conceptual Structure on the Web
Journal of Intelligent Information Systems, 2004Co-Authors: Hyoil Han, Ramez ElmasriAbstract:This paper presents an infraStructure and methodology to extract Conceptual Structure from Web pages, which are mainly constructed by HTML tags and incomplete text. Human beings can easily read Web pages and grasp an idea about the Conceptual Structure of underlying data, but cannot handle excessive amounts of data due to lack of patience and time. However, it is extremely difficult for machines to accurately determine the content of Web pages due to lack of understanding of context and semantics. Our work provides a methodology and infraStructure to process Web data and extract the underlying Conceptual Structure, in particular relationships between ontological concepts using Inductive Logic Programming in order to help with automating the processing of the excessive amount of Web data by capturing its Conceptual Structures.