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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' 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) BASE Show details 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 BASE Show details 3 A Hybrid Semantic Parsing Approach for Tabular Data Analysis ... Gao, Yan; Lou, Jian-Guang; Zhang, Dongmei. - : arXiv, 2019 BASE Show details 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 Show details 5 Mobile technology utilization among patients from diverse cultural and linguistic backgrounds attending cardiac rehabilitation. Gao, Yan; Ding, Ding; Gallagher, Patrick; Neubeck, Lis; Paull, Glenn; Zhang, Ling; Gallagher, Robyn. - 2018 Abstract: Background: Barriers to attending cardiac rehabilitation (CR), including cultural and linguistic differences, may be addressedby recent technological developments. However, the feasibility of using these approaches in culturally and linguistically diversepatients is yet to be determined.Objective: This study aims to assess the use of mobile technologies and features, as well as confidence in utilization acrosspatients 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 sociodemographiccorrelates 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, Mandarinand 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 usedcomputers than Mandarin or “other” language speaking participants (P=.003 and .02) and were more confident in doing socompared 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%), textmessage (54/82, 65.9%), the internet (39/82, 47.6%), email (36/82, 43.9%), and videoconferencing (Skype or FaceTime [WeChator QQ] 35/82, 42.7%). Less Mandarin-speaking participants used emails (P=.001) and social media (P=.007) than English-speakingparticipants. Speaking Mandarin was independently associated with using smartphone, emails, and accessing the web-basedmedication 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 intodifferences in the technology use across CALD patients in Australia. The findings of this study may inform the design andimplementation of future technology-based CR. Keyword: 616.2 Respiratory diseases; Cultural; Diverse; eHealth; Linguistic; Long-Term Conditions Research Group; Mobile Technology; Wellbeing; WG 18.2 Cardiology URL: https://napier-surface.worktribe.com/1182170/1/Mobile%20technology%20utilization%20among%20patients%20. https://doi.org/10.2196/cardio.9424 http://researchrepository.napier.ac.uk/Output/1182170 BASE Hide details 6 Textual organisation and construal of interpersonal meanings in different genres of medical texts ... Gao, Yan. - : Aston University, 2018 BASE Show details 7 Textual organisation and construal of interpersonal meanings in different genres of medical texts Gao, Yan. - 2018 BASE Show details 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. - : JMIR Publications, 2018 BASE Show details 9 Why did you withdraw? Experiences of Chinese international doctoral students in Canada Gao, Yan. - 2018 BASE Show details 10 Mobile Technology Use Across Age Groups in Patients Eligible for Cardiac Rehabilitation: Survey Study Neubeck, Lis; Gallagher, Robyn; Roach, Kellie. - : JMIR Publications, 2017 BASE Show details 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) BASE Show details 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 BLLDB OLC Linguistik Show details

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