Speech intelligibility and recall were examined in normally hearing and hearing-impaired hospitalized patients. Fifty-two participants completed testing in a sound-attenuated booth. While listening to a recorded male speaker talking at conversational level, participants were asked to identify and remember the last (key) word in each of a series of five sentences presented in hospital noise with or without voices at three decibel levels (59, 64, and 69 dBA). Noise level and sentence context had the largest impact on key word identification (p < .001). Noise level had the largest impact on key word recall (p < .001). Type of hospital noise and hearing loss also significantly influenced performance on both measures. These findings have implications for healthcare providers communicating with hospitalized patients.
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http://dx.doi.org/10.1002/nur.21540 | DOI Listing |
Sci Rep
January 2025
Institute for System Dynamics, University of Stuttgart, Waldburgstr. 19, 70563, Stuttgart, Germany.
Including sensor information in medical interventions aims to support surgeons to decide on subsequent action steps by characterizing tissue intraoperatively. With bladder cancer, an important issue is tumor recurrence because of failure to remove the entire tumor. Impedance measurements can help to classify bladder tissue and give the surgeons an indication on how much tissue to remove.
View Article and Find Full Text PDFJ Voice
January 2025
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.
Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).
Med Phys
January 2025
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Department of Chemistry, National Sun Yat-sen University, No. 70 Lienhai Rd., Kaohsiung 80424, Taiwan; Center for Nanoscience & Nanotechnology, National Sun Yat-sen University, No. 70 Lienhai Rd., Kaohsiung 80424, Taiwan; School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, No.100, Shiquan 1st Rd., Kaohsiung 80708, Taiwan. Electronic address:
Food freshness monitoring and volatile amine detection are key to food safety. In this study, we demonstrated the applicability of mixed-valence rhenium oxide quantum dots (MV-ReOQDs), synthesized via the hydrothermal reaction of α-cyclodextrin and rhenium ion precursors, in triethylamine (TEA) sensing. Spectroscopic correlation techniques showed that the developed MV-ReOQDs possessed mixed-valent rhenium, α-cyclodextrin as capped ligand, partially carbonized surface, and amorphous phase structure.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Washington, Seattle, WA, USA.
Background: Leveraging non-invasive ultra-high field, 7 Tesla (7T) MRI, with increased signal-to-noise ratio and improved soft tissue contrast afforded by 7T allows us to accurately map tissue microstructure. We aim to use 7T MR Elastography (MRE), 7T Diffusion Tensor Imaging (DTI), 3T amyloid-PET, and Preclinical Alzheimer Cognitive Composite (PACC) score to determine the relationships between these metrics in a cohort of older individuals with either normal cognition (CN), mild cognitive impairment (MCI), or Alzheimer's Disease (AD).
Methods: 7T MRE, 7T DTI, 3T PET (Fig.
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