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Validation of the somatic symptom disorder-B Criteria Scale (SSD-12) in Bangladesh.
PLoS One
January 2025
Department of Clinical Psychology, University of Dhaka, Bangladesh.
Background: The absence of a reliable and valid Bangla instrument for measuring somatic symptom disorder hinders research and clinical activities in Bangladesh. The present study aimed at translating and validating the Somatic Symptom Disorder-B criteria (SSD-12).
Method: A cross-sectional design was used with purposively selected clinical (n = 100) and non-clinical (n = 100) samples.
Modelling sensory attenuation as Bayesian causal inference across two datasets.
PLoS One
January 2025
Department of Psychology, Theoretical Cognitive Science Group, Philipps-Universität Marburg, Marburg, Germany.
Introduction: To interact with the environment, it is crucial to distinguish between sensory information that is externally generated and inputs that are self-generated. The sensory consequences of one's own movements tend to induce attenuated behavioral- and neural responses compared to externally generated inputs. We propose a computational model of sensory attenuation (SA) based on Bayesian Causal Inference, where SA occurs when an internal cause for sensory information is inferred.
View Article and Find Full Text PDFPhysiological growth of ocular axial length among Chinese children and teenagers: A 6-year cohort study.
PLoS One
January 2025
School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR.
To investigate the pattern and threshold of physiological growth, defining as axial length (AL) elongation that results in little refraction progression, among Chinese children and teenagers, a total of 916 children aged between 7 and 18 years from a 6-year longitudinal cohort study were included for analysis. Ocular biometry, cycloplegic refraction and demographic data were obtained annually. Physiological growth was calculated based on myopic progression and Gullstrand eye model, respectively.
View Article and Find Full Text PDFPedestrian POSE estimation using multi-branched deep learning pose net.
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Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
In human activity-recognition scenarios, including head and entire body pose and orientations, recognizing the pose and direction of a pedestrian is considered a complex problem. A person may be traveling in one sideway while focusing his attention on another side. It is occasionally desirable to analyze such orientation estimates using computer-vision tools for automated analysis of pedestrian behavior and intention.
View Article and Find Full Text PDFReply to van Schie et al.: ARK2N in TCR: Across in vivo and in vitro studies.
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Department of Radiation Medicine, School of Basic Medical Sciences, Peking University International Cancer Institute, Beijing Key Laboratory of Tumor Systems Biology, Peking University Health Science Center, Beijing 100191, China.
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