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Perceptual learning of modulation filtered speech.
J Exp Psychol Hum Percept Perform
January 2025
School of Psychology, University of Sussex.
Human listeners have a remarkable capacity to adapt to severe distortions of the speech signal. Previous work indicates that perceptual learning of degraded speech reflects changes to sublexical representations, though the precise format of these representations has not yet been established. Inspired by the neurophysiology of auditory cortex, we hypothesized that perceptual learning involves changes to perceptual representations that are tuned to acoustic modulations of the speech signal.
View Article and Find Full Text PDFA design space for the filtration of challenging monoclonal antibodies using Planova™ S20N, a new regenerated cellulose virus removal filter.
Biotechnol Prog
January 2025
Biologics Technology Research Laboratories, Biologics Division, Daiichi Sankyo Co., Ltd, Oura-gun, Gunma, Japan.
Virus removal by filtration is a crucial step in ensuring the safety of therapeutic antibodies and other biopharmaceutical products by mitigating the risk of endogenous and adventitious viral contamination. However, there are monoclonal antibodies (mAb) that are difficult to filter effectively using virus removal filters (i.e.
View Article and Find Full Text PDFGraph anomaly detection based on hybrid node representation learning.
Neural Netw
January 2025
Institute of Artificial Intelligence, Fujian University of Technology, Fuzhou, China; Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China. Electronic address:
Anomaly detection on graph data has garnered significant interest from both the academia and industry. In recent years, fueled by the rapid development of Graph Neural Networks (GNNs), various GNNs-based anomaly detection methods have been proposed and achieved good results. However, GNNs-based methods assume that connected nodes have similar classes and features, leading to issues of class inconsistency and semantic inconsistency in graph anomaly detection.
View Article and Find Full Text PDFAdsorption adaptive response exposed to algal organic matter: correlation to the characteristics of granular activated carbon.
Environ Technol
January 2025
College of Architecture & Civil Engineering, Beijing University of Technology, Beijing, People's Republic of China.
The release of algal organic matter (AOM) during seasonal algal blooms increases the complexity and heterogeneity of natural organic matter (NOM) in water sources, altering its hydrophilic-hydrophobic balance and posing significant challenges to conventional water treatment processes. This study aims to verify whether the (Granular activated carbon) GAC selected for the adsorption of NOM in sand filtration effluent can adapt to water quality fluctuations caused by AOM release, and identify the criteria influencing GAC adsorption performance. Results indicated that external surface area, mesopore volume, pore size and surface functional groups were key indicators of GAC adsorption performance.
View Article and Find Full Text PDFFMCW-based contactless heart rate monitoring.
Sci Rep
January 2025
College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, Gansu, China.
Heart disease is a significant global health issue. Traditional methods for heart rate monitoring typically require close physical contact, which limits the continuity and convenience of monitoring. To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology.
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