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In this paper, an improved time-synchronization algorithm is proposed. The improvement of time synchronizing performance was achieved by introducing a stochastic model-based direct compensation of the disturbance effects appearing in the IEEE 1588 Precision Time Protocol (PTP)-based time synchronization system. A dynamic model of PTP clock system was obtained by reflecting the three major sources of disturbances, i.e., clock frequency drift, clock rate offset, and network noise. With the application of the dynamic model of the PTP clock system, the effects of the disturbances can be effectively eliminated in the PTP time synchronization control loop. Computer simulations are performed to verify the performance of the proposed time synchronization algorithm by applying the various types of disturbances, including network noise and clock drift. The simulation results are compared with those of other representative time synchronization algorithms, i.e., IEEE 1588 PTP algorithm and Kalman-filter-based algorithm. It is shown that the proposed algorithm improves time synchronizing performance up to 84% with respect to that of the Kalman-filter-based synchronization algorithm when simulated with colored noise type disturbances. The proposed time synchronization algorithm is expected to contribute for the realization of future Ethernet-based industry-plant monitoring and control including IEC 61850-based digital substation.
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http://dx.doi.org/10.3390/s19163499 | DOI Listing |
IEEE Trans Cybern
September 2025
This article addresses the fixed-time leaderless cluster synchronization of spatiotemporal community networks (SCNs) characterized by nonidentical node dynamics and reaction-diffusion feature. First, a signed SCN with reaction-diffusion effect is formulated, where the sign-based coupling is introduced to capture the dynamics of coopetition interactions among different communities. Second, to ensure the invariance of the synchronous manifold, an improved interdegree balance condition is proposed as a prerequisite for achieving cluster synchronization of the community network.
View Article and Find Full Text PDFWorld J Urol
September 2025
Department of Urology and Transplantation Surgery, Nantes University Hospital, Nantes, France.
Purpose: In 5-10% of cases, renal cancer extends into the venous system, particularly the inferior vena cava (IVC), which worsens prognosis. This study aims to assess morbidity, mortality, and oncological outcomes of patients treated surgically for renal cancer with IVC extension over a 30-year period, in two experienced centers.
Materials And Methods: This bicentric, retrospective study analyzed patients treated between 1988 and 2020 for renal cancer involving the IVC.
J Clin Exp Neuropsychol
September 2025
Department of Psychology, University of British Columbia, Vancouver, Canada.
Background: Metamemory is the awareness of and ability to evaluate one's own cognitive abilities. This study examined impaired metamemory as a possible mechanism contributing to persistent cognitive symptoms after COVID-19.
Methods: Individuals with previous COVID-19 illness were recruited.
Medicine (Baltimore)
September 2025
Department of Orthopaedic Surgery, Kobe Red Cross Hospital, Hyogo, Japan.
This study aims to clarify the dynamic changes in the cervical lordotic angle (CLA) during normal swallowing using an automated motion analysis method. Physiological cervical lordosis is crucial for spinal alignment and musculoskeletal function. While previous studies have noted the relevance of cervical curvature in clinical contexts, its dynamic modulation during swallowing has not been well studied.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany. Electronic address:
Climate change poses a growing threat to human health, increasing exposure to extreme environmental conditions. Wearable biosensors provide real-time monitoring of physiological responses to heat stress, including cardiovascular strain, thermoregulatory disruptions, sleep disturbances, and biomarkers of heat-related illnesses. These devices also assess behavioural adaptations, such as reduced physical activity, offering insights into physiological resilience and susceptibility.
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