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Regular languages extended with reduplication: Formal models, proofs and illustrations
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Wang, Yang. - : eScholarship, University of California, 2021
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network ...
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A Sequence-to-Sequence Approach to Dialogue State Tracking ...
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Assessment of Use and Fit of Face Masks Among Individuals in Public During the COVID-19 Pandemic in China
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In: JAMA Netw Open (2021)
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Dual Convolutional LSTM Network for Referring Image Segmentation ...
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Cross-Modal Self-Attention Network for Referring Image Segmentation ...
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A critical review of 'English' in China's English education: How far can Chinese teachers embrace ELF?
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DeepDDK: A Deep Learning based Oral-Diadochokinesis Analysis Software
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In: IEEE EMBS Int Conf Biomed Health Inform (2019)
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Translation Analysis of Metaphor Translation in the Black Slaves
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In: Cross-Cultural Communication; Vol 15, No 4 (2019): Cross-Cultural Communication; 11-14 ; 1923-6700 ; 1712-8358 (2019)
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Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data ...
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Relations Between Self-Reported Daily-Life Fatigue, Hearing Status, and Pupil Dilation During a Speech Perception in Noise Task
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In: Ear Hear (2018)
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The Pupil Dilation Response During Speech Perception in Dark and Light: The Involvement of the Parasympathetic Nervous System in Listening Effort
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Immigrants’ Use of eHealth Services in the United States, National Health Interview Survey, 2011-2015
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Abstract:
OBJECTIVES: Little is known about the use of electronic health (eHealth) services supported by information technology in the United States among immigrants, a group that faces barriers in accessing care and, consequently, disparities in health outcomes. We examined differences in the use of eHealth services in the United States by immigration status in a nationally representative sample. METHODS: We used data from the 2011-2015 National Health Interview Survey to assess use of eHealth services among US natives, naturalized citizens, and noncitizens. Our outcome variable of interest was respondent-reported use of eHealth services, defined as making medical appointments online, refilling prescriptions online, or communicating with health care professionals through email, during the past 12 months. We analyzed use of eHealth services, demographic characteristics, socioeconomic status, and health status among all 3 groups. We used multivariate logistic regression models to examine the association between immigration status and the likelihood of using eHealth services, adjusting for individual demographic, socioeconomic, and health characteristics. RESULTS: Among 126 893 US natives, 18 763 (16.1%) reported using any eHealth services in the past 12 months, compared with 1738 of 15 102 (13.0%) naturalized citizens and 1020 of 14 340 (7.8%) noncitizens. Adjusting for socioeconomic factors reduced initial gaps: naturalized citizens (adjusted odds ratio [aOR] = 0.81; 95% confidence interval [CI], 0.75-0.87) and noncitizens (aOR = 0.81; 95% CI, 0.72-0.90) had approximately 20% lower odds of using eHealth services than did US natives. However, the differences varied by type of eHealth service. Immigrants with higher English-language proficiency were more likely to use eHealth services than were immigrants with lower English-language proficiency. CONCLUSIONS: Targeted interventions that reduce socioeconomic barriers in accessing technology and promote multilingual electronic portals could help mitigate disparities in use of eHealth services.
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Keyword:
Research
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URL: https://doi.org/10.1177/0033354918795888 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225887/ http://www.ncbi.nlm.nih.gov/pubmed/30223716
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Relations between self-reported daily-life fatigue, hearing status and pupil dilation during a speech perception in noise task
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Relations between self-reported daily-life fatigue, hearing status, and pupil dilation during a speech perception in noise task
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