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The Functional Organization of Corticomotor Neurons Within the Motor Cortex Differs Among Basketball and Volleyball Athletes With Patellar Tendinopathy Compared to Asymptomatic Controls
Get PDFAn effective approach to tackling complex health policy challenges. Using a clinical microsystems approach and rethinking codesign
Get PDFEffects of Post-Joint Comprehensive Plan of Action Sanctions on Weight Gain of Pregnant Mothers, Birth Weight, and Food Security of Their Families (2017–2020)
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The Bergen–Yale Sexual Addiction Scale (BYSAS): Longitudinal Measurement Invariance Across a Two-Year Interval
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An experimental investigation of the pyrolysis behaviour of pine wood with different fire-retardant additives
No full textProteus effect avatar profiles: Associations with disordered gaming and activity levels
Get PDFGaming avatars can influence users’ attitudes and behaviors and manifest as the proteus effect. The present study examined proteus effect profiles among 571 gamers and their associations with disordered gaming and physical activity. Latent class analysis identified three profiles: non-influenced gamers, emotion-perception influenced gamers (highest proteus effect), and emotion-behavior influenced gamers (moderate proteus effect). The high proteus effect group exhibited significantly higher gaming disorder symptoms at baseline and 6 months compared to other profiles. Proteus effect profiles did not significantly differ in physical activity levels. However, higher disordered gaming and proteus effect predicted lower activity over time. The strong proteus effect group's avatar immersion may increase gaming disorder risks. Minimal avatar influence for the non-influenced gamers appears protective. While proteus effect profiles do not directly relate to activity, amplified disordered gaming can reduce active lifestyles. Overall, findings demonstrate how avatars differentially affect gamers’ experiences and functioning through proteus-induced changes
Harmonic Components Isolation in Vehicle Vibrations: Enhancing Quarter-Car Model Analysis with an Extended Kalman Filter Approach
No full textThis article addresses the essential task of understanding vibrations produced by vehicles to enhance the design of authentic laboratory tests. The article focuses on two primary sources of vibrations: those arising from vehicle-road surface interaction, which is largely random, and those emanating from the drivetrain, characterized as a summation of harmonics with a time-varying fundamental frequency. The method involves the application of the extended Kalman filter (EKF) paired with robust nonlinear least-squares (NLS) initialization to isolate the harmonic components effectively. Through a comprehensive analysis involving mean-square-error (MSE) evaluation via Monte Carlo simulation, considering additive white Gaussian noise (AWGN) and a two-degrees-of-freedom quarter-car model's simulation response to the road, the research demonstrates the EKF's proficiency. The results indicate the EKF's capability to accommodate AWGN with a signal-to-noise ratio (SNR) up to 0 dB and road-induced random background vibrations up to an SNR of -3 dB, maintaining an MSE order of approximately 10-
