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1	Nonverbal Auditory Cues Allow Relationship Quality to be Inferred During Conversations. ...
	Dunbar, RIM; Robledo, Juan-Pablo; Tamarit, Ignacio. - : Apollo - University of Cambridge Repository, 2022
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2	LexiComWeb: donnees et executables. Synthèse de la communication web par le lexique ...
	, REYMOND; Lebourgeois; Campos. - : Zenodo, 2022
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3	LexiComWeb: donnees et executables. Synthèse de la communication web par le lexique ...
	, REYMOND; Lebourgeois; Campos. - : Zenodo, 2022
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4	Listening to Stakeholders Involved in Speech-Language Therapy for Children With Communication Disorders: Content Analysis of Apple App Store Reviews
	Du, Yao; Choe, Sarah; Vega, Jennifer...
	In: JMIR Pediatr Parent (2022)
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5	What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing
	Crombé, Amandine; Seux, Mylène; Bratan, Flavie...
	In: J Digit Imaging (2022)
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6	Ageing and selective inhibition of irrelevant information in an attention-demanding rapid serial visual presentation task
	Walker, Maegen E.; Vibell, Jonas F.; Dewald, Andrew D....
	In: Brain Neurosci Adv (2022)
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7	Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content
	Sidani, Jaime E; Hoffman, Beth; Colditz, Jason B...
	In: JMIR Form Res (2022)
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8	The Influence of Face Masks on Verbal Communication in Persian in the Presence of Background Noise in Healthcare Staff
	Aliabadi, Mohsen; Aghamiri, Zahra Sadat; Farhadian, Maryam...
	In: Acoust Aust (2022)
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9	EfficientMask-Net for face authentication in the era of COVID-19 pandemic
	Azouji, Neda; Sami, Ashkan; Taheri, Mohammad
	In: Signal Image Video Process (2022)
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10	Prioritizing Support Offered to Caregivers by Examining the Status Quo and Opportunities for Enhancement When Using Web-Based Self-reported Health Questionnaires: Descriptive Qualitative Study
	Coles, Theresa; Lucas, Nicole; Daniell, Erin...
	In: JMIR Form Res (2022)
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11	Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline
	Caskey, John; McConnell, Iain L; Oguss, Madeline...
	In: JMIR Public Health Surveill (2022)
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12	Smartphone App–Based Noncontact Ecological Momentary Assessment With Experienced and Naïve Older Participants: Feasibility Study
	Burke, Louise; Naylor, Graham
	In: JMIR Form Res (2022)
	Abstract: BACKGROUND: Smartphone app–based ecological momentary assessment (EMA) without face-to-face contact between researcher and participant (app-based noncontact EMA) potentially provides a valuable data collection tool when geographic, time, and situational factors (eg, COVID-19 restrictions) place constraints on in-person research. Nevertheless, little is known about the feasibility of this method, particularly in older and naïve EMA participants. OBJECTIVE: This study aims to assess the feasibility of app-based noncontact EMA as a function of previous EMA experience, by recruiting and comparing a group of participants who had never participated in EMA before against a group of participants who had been part of an earlier in-person EMA study, and age, by recruiting middle-aged to older adults. METHODS: Overall, 151 potential participants were invited via email; 46.4% (70/151) enrolled in the study by completing the baseline questionnaire set and were emailed instructions for the EMA phase. Of these participants, 67% (47/70) downloaded an EMA app and ran the survey sequence for 1 week. In total, 5 daytime surveys and 1 evening survey, each day, assessed participants’ listening environment, social activity, and conversational engagement. A semistructured exit telephone interview probed the acceptability of the method. As markers of feasibility, we assessed the enrollment rate, study completion rate, reason for noncompletion, EMA survey response rate, and likelihood of reporting an issue with survey alerts and requested assistance from researchers, family, or friends. RESULTS: Enrollment rates among invitees (63.3% vs 38.2%; P=.004) and completion rates among enrollees (83.9% vs 53.8%; P<.001) were higher in the experienced than in the naïve EMA group. On average, experienced participants responded to 64.1% (SD 30.2%) of the daytime EMA surveys, and naïve participants responded to 54.3% (SD 29.5%) of the daytime EMA surveys (P=.27). Among participants who retrospectively reported issues with survey alerts, only 19% (3/16) requested researcher assistance during data collection. Older participants were more likely to report not being alerted to EMA surveys (P=.008), but age was unrelated to all other markers of feasibility. Post hoc analyses of the effect of the phone operating system on markers of feasibility revealed that response rates were higher among iOS users (mean 74.8%, SD 20.25%) than among Android users (mean 48.5%, SD 31.35%; P=.002). CONCLUSIONS: Smartphone app–based noncontact EMA appears to be feasible, although participants with previous EMA experience, younger participants, and iOS users performed better on certain markers of feasibility. Measures to increase feasibility may include extensive testing of the app with different phone types, encouraging participants to seek timely assistance for any issues experienced, and recruiting participants who have some previous EMA experience where possible. The limitations of this study include participants’ varying levels of existing relationship with the researcher and the implications of collecting data during the COVID-19 social restrictions.
	Keyword: Original Paper
	URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941427/ https://doi.org/10.2196/27677 http://www.ncbi.nlm.nih.gov/pubmed/35258471
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13	Facial and Vocal Markers of Schizophrenia Measured Using Remote Smartphone Assessments: Observational Study
	Abbas, Anzar; Hansen, Bryan J; Koesmahargyo, Vidya...
	In: JMIR Form Res (2022)
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14	Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria
	Saidu, Musa Kallah; Al Mamun, Md Abdullah
	In: TechTrends (2022)
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15	Social emotional ability development (SEAD): An integrated model of practical emotion-based competencies
	Harris, Victor W.; Anderson, Jonathan; Visconti, Brian
	In: Motiv Emot (2022)
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16	Quantitative Measurement of Adult Human Larynx post General Anesthesia with Intubation
	Kuo, Chung Feng Jeffrey; Barman, Jagadish; Liu, Shao-Cheng
	In: Int J Med Sci (2022)
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17	Interpersonal Mindfulness Questionnaire: Scale Development and Validation
	Khoury, Bassam; Vergara, Rodrigo C.; Spinelli, Christina
	In: Mindfulness (N Y) (2022)
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18	Students’ feedback experiences and expectations pre- and post-university entry
	Gray, Keith; Riegler, Robert; Walsh, Michael
	In: SN Soc Sci (2022)
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19	NMD is required for timely cell fate transitions by fine-tuning gene expression and regulating translation
	Huth, Michelle; Santini, Laura; Galimberti, Elena...
	In: Genes Dev (2022)
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20	Understanding the #longCOVID and #longhaulers Conversation on Twitter: Multimethod Study
	Santarossa, Sara; Rapp, Ashley; Sardinas, Saily...
	In: JMIR Infodemiology (2022)
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