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Simple Search
Hits 1 – 12 of 12
1
END-TO-END SPEECH RECOGNITION FROM FEDERATED ACOUSTIC MODELS
Gao, Yan
;
Parcollet, Titouan
;
Zaiem, Salah
...
In: The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-03601224 ; The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), May 2022, Singapour, Singapore (2022)
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2
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Gao, Yan
;
Guo, Jiaqi
. - : Underline Science Inc., 2021
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3
A Hybrid Semantic Parsing Approach for Tabular Data Analysis ...
Gao, Yan
;
Lou, Jian-Guang
;
Zhang, Dongmei
. - : arXiv, 2019
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4
The “PNE” driving simulator-based training model founded on the theory of planned behavior [<Journal>]
Zhao, Xiaohua
[Verfasser];
Xu, Wenxiang
[Sonstige];
Ma, Jianming
[Sonstige].
DNB Subject Category Language
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5
Mobile technology utilization among patients from diverse cultural and linguistic backgrounds attending cardiac rehabilitation.
Gao, Yan
;
Ding, Ding
;
Gallagher, Patrick
. - 2018
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6
Textual organisation and construal of interpersonal meanings in different genres of medical texts ...
Gao, Yan
. - : Aston University, 2018
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7
Textual organisation and construal of interpersonal meanings in different genres of medical texts
Gao, Yan
. - 2018
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8
Mobile Technology Utilization Among Patients From Diverse Cultural and Linguistic Backgrounds Attending Cardiac Rehabilitation in Australia: Descriptive, Case-Matched Comparative Study
Zhang, Ling
;
Ding, Ding
;
Neubeck, Lis
;
Gallagher, Patrick
;
Paull, Glenn
;
Gao, Yan
;
Gallagher, Robyn
. - : JMIR Publications, 2018
Abstract:
BACKGROUND: Barriers to attending cardiac rehabilitation (CR), including cultural and linguistic differences, may be addressed by recent technological developments. However, the feasibility of using these approaches in culturally and linguistically diverse patients is yet to be determined. OBJECTIVE: This study aims to assess the use of mobile technologies and features, as well as confidence in utilization across patients speaking different languages at home (ie, English, Mandarin Chinese, and a language other than English and Mandarin [other]) and are both eligible and physically suitable for CR. In addition, the study aims to determine the sociodemographic correlates of the mobile technology/feature use, including language spoken at home in the three groups mentioned above. METHODS: This is a descriptive, case matched, comparative study. Age and gender-matched patients speaking English, Mandarin and other languages (n=30/group) eligible for CR were surveyed for their mobile technology and mobile feature use. RESULTS: ‘Participants had a mean age of 66.7 years (SD 13, n=90, range 46-95), with 53.3% (48/90) male. The majority (82/90, 91.1%) used at least one technology device, with 87.8% (79/90) using mobile devices, the most common being smartphones (57/90, 63.3%), tablets (28/90, 31.1%), and text/voice-only phones (24/90, 26.7%). More English-speaking participants used computers than Mandarin or “other” language speaking participants (P=.003 and .02) and were more confident in doing so compared to Mandarin-speaking participants (P=.003). More Mandarin-speaking participants used smartphones compared with “other” language speaking participants (P=.03). Most commonly used mobile features were voice calls (77/82, 93.9%), text message (54/82, 65.9%), the internet (39/82, 47.6%), email (36/82, 43.9%), and videoconferencing (Skype or FaceTime [WeChat or QQ] 35/82, 42.7%). Less Mandarin-speaking participants used emails (P=.001) and social media (P=.007) than English-speaking participants. Speaking Mandarin was independently associated with using smartphone, emails, and accessing the web-based medication information (OR 7.238, 95% CI 1.262-41.522; P=.03, OR 0.089, 95% CI 0.016-0.490; P=.006 and OR 0.191, 95% CI 0.037-0.984; P=.05). CONCLUSIONS: This study reveals a high usage of mobile technology among CR patients and provides further insights into differences in the technology use across CALD patients in Australia. The findings of this study may inform the design and implementation of future technology-based CR.
Keyword:
Original Paper
URL:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858003/
https://doi.org/10.2196/cardio.9424
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9
Why did you withdraw? Experiences of Chinese international doctoral students in Canada
Gao, Yan
. - 2018
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10
Mobile Technology Use Across Age Groups in Patients Eligible for Cardiac Rehabilitation: Survey Study
Neubeck, Lis
;
Gallagher, Robyn
;
Roach, Kellie
. - : JMIR Publications, 2017
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11
A Tentative Research on Chinese Culture Integrated Into College English Teaching: Taking an English Optional Course Dialogue With Chinese Culture as an Example
GAO, Yan
In: Cross-Cultural Communication; Vol 12, No 11 (2016): Cross-Cultural Communication; 27-32 ; 1923-6700 ; 1712-8358 (2016)
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12
SCUT-COUCH2009 - a comprehensive online unconstrained Chinese handwriting database and benchmark evaluation
Liu, Gang
;
Ding, Kai
;
Gao, Yan
...
In:
International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer
14 (2011) 1, 53-64
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