It is often assumed that the benefit of hearing aids is not primarily reflected in better speech performance, but that it is reflected in less effortful listening in the aided than in the unaided condition. Before being able to assess such a hearing aid benefit the present study examined how processing load while listening to masked speech relates to inter-individual differences in cognitive abilities relevant for language processing. Pupil dilation was measured in thirty-two normal hearing participants while listening to sentences masked by fluctuating noise or interfering speech at either 50% and 84% intelligibility. Additionally, working memory capacity, inhibition of irrelevant information, and written text reception was tested. Pupil responses were larger during interfering speech as compared to fluctuating noise. This effect was independent of intelligibility level. Regression analysis revealed that high working memory capacity, better inhibition, and better text reception were related to better speech reception thresholds. Apart from a positive relation to speech recognition, better inhibition and better text reception are also positively related to larger pupil dilation in the single-talker masker conditions. We conclude that better cognitive abilities not only relate to better speech perception, but also partly explain higher processing load in complex listening conditions.
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http://dx.doi.org/10.1155/2012/865731 | DOI Listing |
Psicol Reflex Crit
January 2025
Departamento de Psicología. Facultad de Educación, Ciencias Sociales y Humanidades, Universidad de La Frontera, Temuco, Chile.
Background: Social support is relevant to studying well-being, quality of life, and health during aging, particularly in people over 50. Therefore, brief instruments that allow its measurement within the clinical evaluation and research processes are necessary. The ENRICH Social Support Scale (ESSI) is a brief and easy-to-use instrument that measures the perception of social support; however, its psychometric properties in people over 50 in the Chilean context have yet to be tested.
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December 2024
The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States.
As a ubiquitous feature of the biological world, gradation, in either composition or structure, is essential to many functions and processes. Taking protein gradation as an example, it plays a pivotal role in the development and evolution of human bodies, including stimulation and direction of the outgrowth of peripheral nerves in a developing fetus. It is also critically involved in wound healing by attracting and guiding immune cells to the site of injury or infection.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
College of Food Science and Engineering, Nanjing University of Finance and Economics, PR China; Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, Jiangsu 210023, PR China.
Lead-containing wastewater has been a significant challenge in the field of wastewater treatment. Cellulose surface has a large number of active sites, which is conducive to load modification. And amino acids have rich functional groups, which is a good choice for cellulose modification.
View Article and Find Full Text PDFBioresour Technol
December 2024
School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou 450001, China. Electronic address:
Polyhydroxyalkanoates (PHAs) are biodegradable polyesters poised to replace plastics. Mixed culture (MC)-based three-stage processes are effective for carbon recovery from waste biomass, but the energy-intensive PHA synthesis is negatively affected by ammonia nitrogen, inhibiting PHA yield. This study aims to reuse ammonia nitrogen efficiently to mitigate its impact and prevent secondary pollution.
View Article and Find Full Text PDFNeural Netw
December 2024
The school of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China. Electronic address:
Emotion recognition via electroencephalogram (EEG) signals holds significant promise across various domains, including the detection of emotions in patients with consciousness disorders, assisting in the diagnosis of depression, and assessing cognitive load. This process is critically important in the development and research of brain-computer interfaces, where precise and efficient recognition of emotions is paramount. In this work, we introduce a novel approach for emotion recognition employing multi-scale EEG features, denominated as the Dynamic Spatial-Spectral-Temporal Network (DSSTNet).
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