37,587 research outputs found
Individual metacognition in technology-assisted collaborative translation: comparing higher- and lower-achieving teams
No full textThe upsurge of translation technology has fostered complex socio-cognitive communication environments where metacognition emerges as a crucial mediator among translators and other relevant agents. Most research has centered on individual translators, and evidence is scarce on how translation teams navigate such environments and how individual metacognitive activities impact the teams’ translation performance. This study bridges this gap by exploring trainees’ metacognitive activities in the technology-assisted project. This study split between higher- and lower-achieving teams based on their project outcomes and explored their socio-cognitive behaviors and team-averaged metacognitive differences. Data were collected and cross-referenced from self-reflection reports, focus group interviews, questionnaires, log data, chat data, and classroom observations. The analyses suggest that (1) all the teams engaged in various collaborative inquiries; higher-achieving teams prioritized mutuality, engaged in more self-directed activities, and displayed greater learner autonomy, whereas lower-achieving teams relied more on instructor scaffoldings and participated less actively in discussions and complex tasks; (2) teams in both conditions had similar levels of metacognitive knowledge of person and strategy, but the higher-achieving teams showed higher metacognitive knowledge of task and metacognitive regulation; (3) higher-achieving teams exhibited more critical self-evaluations and more analytical approaches to tasks, indicating their enhanced metacognitive awareness than lower-achieving teams. In light of these results, metacognition and self-autonomy are important in translation and other complex communication tasks
Atteggiamenti sessisti e rappresentazioni di una carica politica declinata al maschile o al femminile fra studenti cinesi. Primi risultati di ricerca
No full textWe investigate gender representations applied to a Ministerial political office, the attitudes
towards women in a group of Chinese college students and whether such attitudes are reflected
in the representations of the Ministerial political office. These representations were detected, inter
alia, by the request of three free associations to the stimulus-words Man/Woman Minister. With
the scale of Glick and Fiske (1996), administered after the free associations, we verified the twofactor
structure of Ambivalent Sexism (ASI, Hostile / Benevolent Sexism) highlighted in a crosscultural
comparison in 19 countries (Glick et al., 2000). The respondents were 181 students at
Hangzhou Dianzi University and Zhejiang University (51.4% women; average age about 22
years) contacted in 2016. The results confirmed the two-factor structure of the ASI scale, which
explains 31.8% of the total variance, with a first factor of Hostile Sexism (HS) and a second factor
of Benevolent Sexism (BS). Textual data revealed a general vocabulary differentiated for
Man/Woman Minister. The findings were commented by referring to the literature on stereotypes
and gender bias, to the specificity of Chinese cultural context, to the comparison with similar
Italian investigations, and also to the reference to political representations
Special issue: Process safety in times of a pandemic
No full textGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc
Hedonic editing and order effect in decision-making with neurometric evaluation
No full textInvestment decisions are based largely on the information that investors are received from the target firm. In this research, we consider both the variable of Organization of Information, either segregate or integrate, and the Order of the information, either in the order of Negative-Positive or in the order of Positive-Negative. Three groups of information are tested in the experiment: a piece of Big Positive information and a piece of Small Negative information (BP/SN); a piece of Big Negative information and a piece of Small Positive (BN/SP); and a piece of Small Positive information and a piece of Small Negative information (SP/SN). The study applied the gathering of the electroencephalographic rhythms variations, as well as the heart rate and galvanic skin response. The neurometric indicators here employed were the Approach-Withdrawal (AW) and the Emotional (EI) indexes. In SP/SN group, the recency effect is found in AWI. However, when receiving information in large scale, either big positive or big negative, emotion plays a role during decision-making. In both case of BP/SN and BN/SP, emotion is effected by organization of information. In the condition of BP/SN, neurometrics AWI result suggests more approach potentials when two pieces of information presented integrated. While in the case of BN/SP, we observe the influence of both order and organization. Individual favours separation of information with the order of Negative-Positive, the recency effect
Distributed human computation framework for linked data co-reference resolution
No full textDistributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud
Intersystem soft handover for converged DVB-H and UMTS networks
No full textDigital video broadcasting for handhelds (DVB-H) is the standard for broadcasting Internet Protocol (IP) data services to mobile portable devices. To provide interactive services for DVB-H, the Universal Mobile Telecommunications System (UMTS) can be used as a terrestrial interaction channel for the unidirectional DVB-H network. The converged DVB-H and UMTS network can be used to address the congestion problems due to the limited multimedia channel accesses of the UMTS network. In the converged network, intersystem soft handover between DVB-H and UMTS is needed for an optimum radio resource allocation, which reduces network operation cost while providing the required quality of service. This paper deals with the intersystem soft handover between DVB-H and UMTS in such a converged network. The converged network structure is presented. A novel soft handover scheme is proposed and evaluated. After considering the network operation cost, the performance tradeoff between the network quality of service and the network operation cost for the intersystem soft handover in the converged network is modeled using a stochastic tree and analyzed using a numerical simulation. The results show that the proposed algorithm is feasible and has the potential to be used for implementation in the real environment
Beyond interfaces: A usability study of Chinese journal databases
No full textA presentation at the Council on East Asian Libraries (CEAL) annual meeting in Boston, MA on March 21, 2007
Rose Galaida and the Central China Relief Records, 1946: Discovery, Investigation, and Implications
No full textThe materials in the Central China Relief Records (CCRR) collection provide a window to the experiences of Rose Galaida in Hubei. The collection consists of about 100 documents totaling over 300 pages (excluding duplicate copies) and 5 photographs.Peer reviewedPublished in the Journal of East Asian Libraries and available from the journal at: https://scholarsarchive.byu.edu/jeal/vol2011/iss153/
Breaking New Ground in East Asia Library History
No full textReview of Peter X. Zhou. Collecting Asia: East Asian Libraries in North America (2010).Published in H-Net Reviews in the Humanities and Social Sciences and available at: http://www.h-net.org/reviews/showrev.php?id=32231March 201
Good news or bad news, which do you want first? The importance of the sequence and organization of Information for financial decision-making: a neuro-electrical imaging study
No full textInvestment decisions are largely based on the information investors received from the target firm. Thaler introduced the hedonic editing framework, in which suggests that integration/segregation of information influence individual's perceived value. Meanwhile, when evaluating the evidence and information in a sequence, order effect and biases have been found to have an impact in various areas. In this research, the influence of the Organization of Information (Integration vs. Segregation) and the Sequence of Information (Negative-Positive order vs. Positive-Negative order) on individual's investment decision-making both at the behavioral level (decision) and neurometrix level (measured by an individual's emotion and Approach Withdraw tendency) was assessed for the three groups of information: a piece of Big Positive Information and a piece of Small Negative Information, a piece of Big Negative Information and a piece of Small Positive Information, and a piece of Small Negative information. The behavioral results, which are an individual's final investment decision, were consistent for all three scenarios. In general, individuals will invest more/retire less when receiving two pieces of information in a Negative-Positive order. However, the neurometric results (Emotional Index, Approach Withdraw Index and results from LORETA) show differences among information groups. An effect of the Sequence of Information and the Organization of Information was found for the different scenarios. The results suggest that in the scenarios that involve large-scale information, the organization of information (Integration vs. Segregation) influences the emotion and Approach Withdraw tendency. The results of this investigation should provide insight for effective communication of information, especially when large-scale information is involved
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