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Hits 21 – 40 of 1.047

21	Effect of Best Possible Self Writing Activities on Preservice Teachers' Attitudes towards Technology Integration
	Duan, Suzhen; Exter, Marisa; Newby, Timothy
	In: TechTrends (2022)
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22	Virtual Reality Simulation Training for Cardiopulmonary Resuscitation After Cardiac Surgery: Face and Content Validity Study
	Sadeghi, Amir H; Peek, Jette J; Max, Samuel A...
	In: JMIR Serious Games (2022)
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23	Association between sleep parameters and longitudinal shortening of telomere length
	Jin, Jeong-Hwa; Kwon, Hyuk Sung; Choi, Seong Hye...
	In: Aging (Albany NY) (2022)
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24	How to Talk to Myself: Optimal Implementation for Developing Fluency in EFL Speaking Through Soliloquizing
	Huang, Shang-En; Liu, Yeu-Ting
	In: English Teaching & Learning (2022)
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25	Use of a Paid Digital Marketing Campaign to Promote a Mobile Health App to Encourage Parent-Engaged Developmental Monitoring: Implementation Study
	Arshanapally, Suraj; Green, Katie; Slaughter, Karnesha...
	In: JMIR Pediatr Parent (2022)
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26	Think-Aloud Testing of a Novel Safer Drinking App for College Students During COVID-19: Usability Study
	Smith, Jessica Gomez; Alamiri, Nour Sami; Biegger, Grace...
	In: JMIR Form Res (2022)
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27	Adult Vaccine Hesitancy Scale in Arabic and French: Protocol for Translation and Validation in the World Health Organization Eastern Mediterranean Region
	Nour, Radwa; Powell, Leigh; Alnakhi, Wafa K...
	In: JMIR Res Protoc (2022)
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28	Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study
	Boillat, Thomas; Nawaz, Faisal A; Rivas, Homero
	In: JMIR Med Educ (2022)
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29	In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study
	Carlier, Chiara; Niemeijer, Koen; Mestdagh, Merijn; Bauwens, Michael; Vanbrabant, Peter; Geurts, Luc; van Waterschoot, Toon; Kuppens, Peter
	In: JMIR Ment Health (2022)
	Abstract: BACKGROUND: Emotions and mood are important for overall well-being. Therefore, the search for continuous, effortless emotion prediction methods is an important field of study. Mobile sensing provides a promising tool and can capture one of the most telling signs of emotion: language. OBJECTIVE: The aim of this study is to examine the separate and combined predictive value of mobile-sensed language data sources for detecting both momentary emotional experience as well as global individual differences in emotional traits and depression. METHODS: In a 2-week experience sampling method study, we collected self-reported emotion ratings and voice recordings 10 times a day, continuous keyboard activity, and trait depression severity. We correlated state and trait emotions and depression and language, distinguishing between speech content (spoken words), speech form (voice acoustics), writing content (written words), and writing form (typing dynamics). We also investigated how well these features predicted state and trait emotions using cross-validation to select features and a hold-out set for validation. RESULTS: Overall, the reported emotions and mobile-sensed language demonstrated weak correlations. The most significant correlations were found between speech content and state emotions and between speech form and state emotions, ranging up to 0.25. Speech content provided the best predictions for state emotions. None of the trait emotion–language correlations remained significant after correction. Among the emotions studied, valence and happiness displayed the most significant correlations and the highest predictive performance. CONCLUSIONS: Although using mobile-sensed language as an emotion marker shows some promise, correlations and predictive R(2) values are low.
	Keyword: Original Paper
	URL: http://www.ncbi.nlm.nih.gov/pubmed/35147507 https://doi.org/10.2196/31724 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8881775/
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30	Understanding the Potential of Mental Health Apps to Address Mental Health Needs of the Deaf and Hard of Hearing Community: Mixed Methods Study
	Borghouts, Judith; Neary, Martha; Palomares, Kristina...
	In: JMIR Hum Factors (2022)
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31	The ambivalent role of Urdu and English in multilingual Pakistan: a Bourdieusian study
	Ashraf, Hina
	In: Lang Policy (2022)
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32	Is language a ‘right’ in U.S. education?: unpacking Castañeda’s reach across federal, state, and district lines
	Coady, Maria R.; Ankeny, Brian; Ankeny, Raisa
	In: Lang Policy (2022)
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33	Understanding Engagement and the Potential Impact of an Electronic Drug Repository: Multi-Methods Study
	Soobiah, Charlene; Phung, Michelle; Tadrous, Mina...
	In: JMIR Form Res (2022)
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34	Assessment of the Readability of Web-Based Patient Education Material From Major Canadian Pediatric Associations: Cross-sectional Study
	Man, Alice; van Ballegooie, Courtney
	In: JMIR Pediatr Parent (2022)
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35	Online Literacy Instruction for Young Korean Dual Language Learners in General Education
	Kim, Sunyoung; Kang, Veronica; Kim, Hanae...
	In: J Behav Educ (2022)
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36	A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation
	Huang, Zonghai; Miao, Jiaqing; Chen, Ju...
	In: JMIR Med Inform (2022)
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37	Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App
	Jackson, Devlon N; Sehgal, Neil; Baur, Cynthia
	In: JMIR Form Res (2022)
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38	Birthing Experiences of Spanish Speakers During the COVID-19 Pandemic in NYC
	Granada, Stephanie; Quinteros Baumgart, Cibel; Rupley, Devon
	In: J Immigr Minor Health (2022)
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39	Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach
	Ferrario, Andrea; Luo, Minxia; Polsinelli, Angelina J...
	In: JMIR Aging (2022)
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40	Adapting Child Health Knowledge Translation Tools for Somali Parents: Qualitative Study Exploring Process Considerations and Stakeholder Engagement
	Elliott, Sarah A; Wright, Kelsey S; Scott, Shannon D...
	In: JMIR Form Res (2022)
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