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Objective: The goal of this study was to assess recognition of foreign-accented speech of varying intelligibility and linguistic complexity in older adults. It is important to understand the factors that influence the recognition of this commonly encountered type of speech, in a population that remains understudied in this regard.
Design: A repeated measures design was used. Listeners repeated back linguistically simple and complex sentences heard in noise. The sentences were produced by three talkers of varying intelligibility: one native American English, one foreign-accented talker of high intelligibility and one foreign-accented talker of low intelligibility. Percentage word recognition in sentences was measured.
Study Sample: Twenty-five older listeners with a range of hearing thresholds participated.
Results: We found a robust interaction between talker intelligibility and linguistic complexity. Recognition accuracy was higher for simple versus complex sentences, but only for the native and high intelligibility foreign-accented talkers. This pattern was present after effects of working memory capacity and hearing acuity were taken into consideration.
Conclusion: Older listeners exhibit qualitatively different speech processing strategies for low versus high intelligibility foreign-accented talkers. Differences in recognition accuracy for words presented in simple versus in complex sentence contexts only emerged for speech over a threshold of intelligibility.
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http://dx.doi.org/10.1080/14992027.2020.1814431 | DOI Listing |
Hum Brain Mapp
December 2024
SEB Centre for Brain Resilience & Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada.
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MRI)-based biomarker of cerebral small vessel disease (CSVD). WMH are associated with cognitive decline and increased risk of stroke and dementia, and are commonly observed in aging, vascular cognitive impairment, and neurodegenerative diseases. The reliable and rapid measurement of WMH in large-scale multisite clinical studies with heterogeneous patient populations remains challenging, where the diversity of imaging characteristics across studies adds additional complexity to this task.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Shanxi Provincial People's Hospital, No. 29 Shuangta East Street, Yingze District, Taiyuan City, Shanxi Province, China.
Objective: This study examined the longitudinal development of metacognitive skills and clinical decision-making abilities in nursing students, focusing on the interactions between metacognitive processes, situational factors, and individual differences.
Methods: A longitudinal, quantitative design was employed, following 185 third-year nursing students from a major university in China over one academic year. Data were collected at six time points using the Metacognitive Awareness Inventory, Nursing Decision-Making Instrument, and custom-designed clinical scenario assessments.
Appl Clin Inform
October 2024
Harvard Medical School, Boston, Massachusetts, United States.
Background: There is growing recognition of the need to incorporate informatics education in U.S. residencies.
View Article and Find Full Text PDFJ Environ Manage
December 2024
College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
The COVID-19 lockdown created a unique opportunity to study the impact of reduced human activities on water quality. This study aimed to explore how changes in human activities, specifically reduced traffic emissions, influenced water quality in the San Francisco Bay Area from 2019 to 2021. Using chlorophyll-a (Chl-a) concentration as an indicator of water quality and NO₂ concentration as a proxy for traffic emissions, we analyzed the effects of reduced emissions on water quality across different regions of the Bay.
View Article and Find Full Text PDFJ Am Chem Soc
December 2024
State Key Laboratory of Green Pesticide, International Joint Research Center for Intelligent Biosensing Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China.
The complex composition of real plastic wastes poses a significant challenge for their large-scale disposal. A responsive on-site compositional analysis of plastics is informative in choosing downstream processing methods. Nanocatalyst-based assay kit is highly qualified for this scene; however, there remain no efficient nanocatalysts for plastics due to their highly inert chemistry.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!