In a cross-modal matching task, participants were asked to match visual and auditory displays of speech based on the identity of the speaker. The present investigation used this task with acoustically transformed speech to examine the properties of sound that can convey cross-modal information. Word recognition performance was also measured under the same transformations. The authors found that cross-modal matching was only possible under transformations that preserved the relative spectral and temporal patterns of formant frequencies. In addition, cross-modal matching was only possible under the same conditions that yielded robust word recognition performance. The results are consistent with the hypothesis that acoustic and optical displays of speech simultaneously carry articulatory information about both the underlying linguistic message and indexical properties of the talker.
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http://dx.doi.org/10.1037/0096-1523.30.2.378 | DOI Listing |
Efficient visual word recognition presumably relies on orthographic prediction error (oPE) representations. On the basis of a transparent neurocognitive computational model rooted in the principles of the predictive coding framework, we postulated that readers optimize their percept by removing redundant visual signals, allowing them to focus on the informative aspects of the sensory input (i.e.
View Article and Find Full Text PDFJ Mater Chem B
January 2025
Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Sulfur-containing small molecules, mainly including cysteine (Cys), homocysteine (Hcy), glutathione (GSH), and hydrogen sulfide (HS), are crucial biomarkers, and their levels in different body locations (living cells, tissues, blood, urine, saliva, ) are inconsistent and constantly changing. Therefore, it is highly meaningful and challenging to synchronously and accurately detect them in complex multi-component samples without mutual interference. In this work, we propose a steric hindrance-regulated probe, NBD-2FDCI, with single excitation dual emissions to achieve self-adaptive detection of four analytes.
View Article and Find Full Text PDFPeerJ
January 2025
Anesthesiology and Reanimation, Central Clinical Hospital, Baku, Azerbaijan.
Background: Patients who are informed about the causes, pathophysiology, treatment and prevention of a disease are better able to participate in treatment procedures in the event of illness. Artificial intelligence (AI), which has gained popularity in recent years, is defined as the study of algorithms that provide machines with the ability to reason and perform cognitive functions, including object and word recognition, problem solving and decision making. This study aimed to examine the readability, reliability and quality of responses to frequently asked keywords about low back pain (LBP) given by three different AI-based chatbots (ChatGPT, Perplexity and Gemini), which are popular applications in online information presentation today.
View Article and Find Full Text PDFOtolaryngol Head Neck Surg
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Department of Otolaryngology-Head and Neck Surgery, Columbia University Vagelos College of Physicians and Surgeons, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, New York, USA.
Objective: Hearing loss (HL) is associated with depression, but existing datasets are limited by the type of data available for both hearing and mental health conditions. The purpose of this study is to determine if there is an association between HL and depressive disorders within a large bi-institutional electronic health record (EHR) system containing more granular diagnostic information.
Study Design: Cross-sectional epidemiologic study.
J Prev Alzheimers Dis
February 2025
Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: Cognitive training (CT) has been one of the important non-pharmaceutical interventions that could delay cognitive decline. Currently, no definite CT methods are available. Furthermore, little attention has been paid to the effect of CT on mood and instrumental activities of daily living (IADL).
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