Objective: To adapt the trait version of the Self Statements during Public Speaking (SSPS) scale to a state version (SSPS-S) and to assess its discriminative validity for use in the Simulated Public Speaking Test (SPST).
Method: Subjects with and without social anxiety disorder (n = 45) were assessed while performing the SPST, a clinical-experimental model of anxiety with seven different phases.
Results: Alterations in negative self-assessment occurred with significant changes throughout the different phases of the procedure (p = .05). Non-cases presented significantly higher mean values of the SSPS-S in all phases of the procedure than cases (p < .01).
Conclusion: Cases assessed themselves in a less positive and more negative manner during the SPST than did non-cases. SSPS-S is adequate for this assessment, especially its negative subscale, and shows good psychometric qualities.
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http://dx.doi.org/10.1016/j.rbp.2012.02.009 | DOI Listing |
Sci Rep
January 2025
Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA.
Auditory perception requires categorizing sound sequences, such as speech or music, into classes, such as syllables or notes. Auditory categorization depends not only on the acoustic waveform, but also on variability and uncertainty in how the listener perceives the sound - including sensory and stimulus uncertainty, the listener's estimated relevance of the particular sound to the task, and their ability to learn the past statistics of the acoustic environment. Whereas these factors have been studied in isolation, whether and how these factors interact to shape categorization remains unknown.
View Article and Find Full Text PDFSci Data
January 2025
Department of Engineering Technology, University of Houston, Houston, TX, USA.
Functional near-infrared spectroscopy (fNIRS) is an increasingly popular neuroimaging technique that measures cortical hemodynamic activity in a non-invasive and portable fashion. Although the fNIRS community has been successful in disseminating open-source processing tools and a standard file format (SNIRF), reproducible research and sharing of fNIRS data amongst researchers has been hindered by a lack of standards and clarity over how study data should be organized and stored. This problem is not new in neuroimaging, and it became evident years ago with the proliferation of publicly available neuroimaging datasets.
View Article and Find Full Text PDFNat Commun
January 2025
Los Alamos National Laboratory, EES-17 National Security Earth Science, Los Alamos, NM, 87545, USA.
Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault shear, then successfully extended to slow-slipping faults. Here we apply the Wav2Vec-2.
View Article and Find Full Text PDFJ Voice
January 2025
Universidade Estadual de Campinas - UNICAMP, Campinas, São Paulo, Brazil. Electronic address:
Objective: To analyze acoustic measures of speech and vowel samples from individuals of different genders and to correlate these acoustic measures with vocal satisfaction. This study aims to provide additional data on acoustic measures, serving as references for clinicians while emphasizing the importance of moving beyond cisgender norms. Additionally, it addresses a gap in the Brazilian context by exploring correlations between acoustic measures and self-perceived vocal satisfaction across diverse gender groups.
View Article and Find Full Text PDFAdvances in personalized medicine and Systems Biology have introduced probabilistic models and error discovery to cardiovascular care, aiding disease prevention and procedural planning. However, clinical application faces cultural, technical, and methodological hurdles. Patient autonomy remains essential, with shared decision-making (SDM) gaining importance in managing complex cardiovascular treatment options.
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