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  1. 341

    Mix Design With Low Bearing Capacity Materials by Gianluca Dell’Acqua, Mario De Luca, Francesca Russo, Renato Lamberti

    Published 2012-09-01
    “…Correlations based on linear regression were then performed to determine the optimal combination of the properties measured with dependent CBR variables and Max Dry Density (MDD) to be predicted for low-volume roads. …”
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  6. 346

    Online Algorithm for Deriving Heart Rate Variability Components and Their Time–Frequency Analysis by Krzysztof Adamczyk, Adam G. Polak

    Published 2025-01-01
    “…Heart rate variability (HRV) containing four components of high (HF), low (LF), very low (VLF), and ultra-low (ULF) frequencies provides insight into the cardiovascular and autonomic nervous system functions. …”
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  7. 347

    Improved variable step-size LMS algorithm based on hyperbolic tangent function by Jianwu ZHANG, Hao YU, Qianhua ZHANG

    Published 2020-11-01
    “…In order to improve that the LMS algorithm for determining step size cannot satisfy both rapid convergence and low steady-state misalignment errors,a variable step size algorithm (IVSSLMS) based on an improved hyperbolic tangent function was proposed.The step size feedback factor and the correlation value of the error signal were used to adjust the step size,and the problems of slow convergence speed and poor anti-noise ability of the fixed-step size algorithm was overcame.The performance and parameters settings of the proposed algorithm were analyzed.The simulation results show that IVSSLMS has a faster convergence rate,lower steady-state error and better system tracking capability than the existing variable step size algorithms under high and low SNR conditions.…”
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  8. 348

    Experimental Research on Variable Stiffness Property of Hydraulic Ball Joint for Rail Vehicles by Xingwu DING, Wei WEI, Jiling BU, Shiqiang WANG, Bo ZOU, Tao WANG

    Published 2019-09-01
    “…The test results showed that this hydraulic ball joint can achieve low stiffness at low frequency and high stiffness at high frequency, and this property is strongly related to excitation amplitude and pre-load. …”
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  9. 349
  10. 350

    Synaptic Variability Introduces State-Dependent Modulation of Excitatory Spinal Cord Synapses by David Parker

    Published 2015-01-01
    “…The relevance of neuronal and synaptic variability remains unclear. Cellular and synaptic plasticity and neuromodulation are also variable. …”
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  11. 351

    NONPARAMETRIC METHOD OF RECONSTRUCTING PROBABILITY DENSITY ACCORDING TO THE OBSERVATIONS OF A RANDOM VARIABLE by A. D. Kryzhanovsky, A. A. Pastushkov

    Published 2018-06-01
    “…However, for multi-vertex distributions its convergence rate is also low. Similar conclusions can be drawn regarding the method proposed in the work of Vapnik V.N. …”
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  12. 352

    Orbital and suborbital temperature variability in the central Mediterranean across the Pliocene/Pleistocene transition. by Elena Zanola, Teresa Rodrigues, Sergio Bonomo, Patrizia Ferretti, Eliana Fornaciari, Agata Di Stefano, Alessandro Incarbona, Nereo Preto, Isabella Raffi, Luca Capraro

    Published 2024-01-01
    “…Alternatively, it may be interpreted as the resonance (i.e., harmonics) of the low-latitude precessional forcing in mid-latitude regions. …”
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  13. 353

    Effect of Health Literacy on Antiviral Treatment of Hepatitis B: Instrumental Variable Analysis by Hanchao Cheng, Shiyang Liu, Zhitao Wang, Qiyou Wu, Xin Wang, Polin Chan, Zhongdan Chen, Simon Luo, Yinghua Li, Jing Sun

    Published 2024-12-01
    “… Abstract BackgroundChina is a country with a high burden of hepatitis B (Hep B) but a low treatment rate. One of the key reasons for the low treatment rate is the inadequate health literacy (HL) of the people, which may affect the awareness and knowledge of Hep B and its treatment, as well as the ability to actively and correctly seek medical resources. …”
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  14. 354
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    Baseline Maternal and Newborn Variables in a Birth Cohort Study in Southern Brazil by Paulo Floriani Kramer, Elisa Maria Rosa de Barros Coelho, Lívia Mund de Amorim, Gabriela Fernandes Kern dos Santos, Priscila Humbert Rodrigues, Carlos Alberto Feldens

    Published 2025-01-01
    “…Objective: Describe baseline maternal and newborn variables in a birth cohort study. Material and Methods: A birth cohort study was conducted in Canoas, Brazil. …”
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  16. 356

    The Effects of Spatial Resolution Variability of Digital Elevation Models on Flood Hazard Analysis by Hasan Özdemir, Abdullah Akbaş

    Published 2023-06-01
    “…While the model time and average computational errors from low resolution to high resolution increased, the water extent and the spatial distribution of the hazard classes produced for people and buildings decreased. …”
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  17. 357
  18. 358

    Performance Analysis of a Reciprocating Refrigeration Compressor Under Variable Operating Speeds by Willian T. F. D. da Silva, Vitor M. Braga, Cesar J. Deschamps

    Published 2025-07-01
    “…Variable-speed reciprocating compressors (VSRCs) have been increasingly used in domestic refrigeration due to their ability to modulate cooling capacity and reduce energy consumption. …”
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  19. 359

    Heart rate variability and increased risk for developing type 2 diabetes mellitus by Penčić-Popović Biljana, Ćelić Vera, Ćosić Zoran, Pavlović-Kleut Milena, Čaparević Zorica, Kostić Nada, Milovanović Branislav, Šljivić Aleksandra, Stojčevski Biljana

    Published 2014-01-01
    “…The aim of this study was to evaluate the association between heart rate variability (HRV) and slightly increased risk for DM2. …”
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  20. 360

    Investigation of the spatial distribution of deterministic chaos in some meteorological variables across Nigeria by Matthias Idugba Echi, Emmanuel Vezua Tikyaa, Eweh Jnr. Eweh, Alexander A. Tyovenda, Tertsea Igbawua

    Published 2025-08-01
    “…In this study, the spatial variation of dynamical complexities in selected meteorological variables over Nigeria were investigated. Quantitative tools of nonlinear analysis such as correlation dimension, Lyapunov exponents and approximate entropy were implemented on daily mean values of meteorological variables recorded across Nigeria from 1982-2020. …”
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