1,721,051 research outputs found
Psychometric Evaluation of the Chinese Version of the Theory of Mind Inventory for Children With Autism Spectrum Disorder
No full textAbstract
Date Presented 4/1/2017
This study developed a Chinese version of the Theory of Mind Inventory (ToMI–C) for assessing theory of mind (ToM) performance in children with autism spectrum disorder (ASD) in actual social contexts. The ToMI–C will facilitate the evaluation of the ToM of Taiwanese children with ASD accurately.
Primary Author and Speaker: Dai-Rong Jiang
Additional Authors and Speakers: Kuan-Lin Chen
Contributing Authors: Chien-Ho Lin, Li-Chen Tung, Ya-Chen Lee</jats:p
The Relationship Between Pretend Play and Playfulness in Children With Autism Spectrum Disorder
No full textAbstract
Date Presented 3/30/2017
This study explored the relationship between pretend play and playfulness in children with autism spectrum disorder (ASD). Our findings suggest that it is important to assist children with ASD to engage in pretend play, for doing so could promote their internal experience of playfulness.
Primary Author and Speaker: Hsiu-Man Chiu
Additional Authors and Speakers: Kuan-Lin Chen
Contributing Authors: Ya-Chen Lee, Cheng-Te Chen, Chien-Ho Lin, Yu-Ching Lin</jats:p
sj-docx-1-aut-10.1177_13623613231170698 – Supplemental material for Interpreting the results of explicit and applied theory of mind collectively in autistic children: A solution from Rasch analysis
No full textSupplemental material, sj-docx-1-aut-10.1177_13623613231170698 for Interpreting the results of explicit and applied theory of mind collectively in autistic children: A solution from Rasch analysis by Shih-Chieh Lee, Chien-Yu Huang, I-Ning Fu and Kuan-Lin Chen in Autism</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Exploring Material Design Space with a Deep-Learning Guided Genetic Algorithm
Full text linkDesigning complex, dynamic yet multi-functional materials and devices is challenging because the design spaces for these materials have numerous interdependent and often conflicting constraints. Taking inspiration from advances in artificial intelligence and their applications in material discovery, we propose a computational method for designing metamorphic DNA-co-polymerized hydrogel structures. The method consists of a coarse-grained simulation and a deep learning-guided optimization system for exploring the immense design space of these structures. Here, we develop a simple numeric simulation of DNA-co-polymerized hydrogel shape change and seek to find designs for structured hydrogels that can fold into the shapes of different Arabic numerals in different actuation states. We train a convolutional neural network to classify and score the geometric outputs of the coarse-grained simulation to provide autonomous feedback for design optimization. We then construct a genetic algorithm that generates and selects large batches of material designs that compete with one another to evolve and converge on optimal objective-matching designs. We show that we are able to explore the large design space and learn important parameters and traits. We identify vital relationships between the material scale size and the range of shape change that can be achieved by individual domains and we elucidate trade-offs between different design parameters. Finally, we discover material designs capable of transforming into multiple different digits in different actuation states
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