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  1. 541

    Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network by Yingxue Li, Jing Lei, Shiyuan Zhong, Chunming Huang, Chao Huang

    Published 2015-11-01
    “…As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented,and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel,primary user and noise.Numerical simulations show that the new detector performs better than other detectors.…”
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  2. 542

    Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network by Yingxue Li, Jing Lei, Shiyuan Zhong, Chunming Huang, Chao Huang

    Published 2015-11-01
    “…As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented,and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel,primary user and noise.Numerical simulations show that the new detector performs better than other detectors.…”
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  3. 543
  4. 544

    Caffeine’s influence on vertical jump height: a real-life collegiate student-athlete approach by Zacharias Papadakis, Vassilios Panoutsakopoulos, Antonella Schwarz, Jose Antonio

    Published 2025-12-01
    “…This study examined whether acute caffeine ingestion at this threshold improves squat jump (SJ) and countermovement jump (CMJ) performance in NCAA Division II student-athletes, while exploring sex-specific responses and trial-to-trial variability.Methods Forty NCAA Division II athletes (18 females, 22 males; 21.3 ± 2.4 years) participated in a single-blind, randomized, crossover trial. …”
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  5. 545

    State-of-the-Art Document Image Binarization Using a Decision Tree Ensemble Trained on Classic Local Binarization Algorithms and Image Statistics by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

    Published 2025-07-01
    “…Global thresholding uses a single threshold value for the entire image, whereas local thresholding uses different values for the different pixels. …”
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  6. 546

    Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

    Published 2024-10-01
    “…Herein, wavelet threshold processing, short-time Fourier transform, and periodogram methods are employed to process radar echo data. …”
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  7. 547

    Sex differences between atherogenic index of plasma and α-klotho levels in middle-aged and older adults: NHANES 2007–2016 by Cheng Zuo, Zi-Duo Shen, Yaojun Lu

    Published 2025-04-01
    “…The trend analysis and smoothed curve fitting showed a nonlinear dose–response relationship. Threshold effect analysis showed a significant difference in the association between AIP and α-klotho before and after the AIP break point (0.434). …”
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  8. 548

    Locating activation sites of TMS with opposite current directions using probabilistic modelling and biophysical axon models by Ilkka Laakso, Juhani Kataja, Noora Matilainen, Timo Roine, Thomas Tarnaud, Yoshikazu Ugawa

    Published 2025-03-01
    “…Background:: Motor responses evoked by transcranial magnetic stimulation (TMS) using posterior–anterior (PA) and anterior–posterior (AP) current directions have distinct latencies and thresholds. However, the underlying reasons for these differences remain unclear. …”
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  9. 549

    Decomposing decision mechanisms in female substance use disorder: drift diffusion modeling of context-dependent biases in gain and loss processing by Hao Zhang, Gavin Kader, Huoyin Zhang, Haijian Zhao, Wanke Pan, Peng Lei

    Published 2025-08-01
    “…Participants made choices between smaller-immediate and larger-delayed monetary options across varying magnitudes, delay lengths, and reward differences. Behavioral preferences were analyzed using delay discounting models, while cognitive mechanisms were examined using hierarchical drift diffusion modeling to extract decision parameters (drift rates, thresholds, bias, non-decision time). …”
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  10. 550
  11. 551

    Efficient and Accurate Calibration of Discrete Element Method Parameters for Black Beans by Xuezhen Wang, Qinghang Zhai, Shihao Zhang, Qianwen Li, Hanmi Zhou

    Published 2024-11-01
    “…The suggested method can be potentially used to calibrate the DEM parameters of BLBs with good accuracy. …”
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  12. 552

    Presence and detection methods of pseudo-periods in GNSS coordinate time series by Kaichun Yang, Hua Chen, Zhao Li, Jian Wang, Xin Ding, Weiping Jiang

    Published 2025-07-01
    “…Based on this observation, we proposed the AIC_diff (Akaike Information Criterion Difference) pseudo-period detection method with the threshold as −5, indicating that the signal is more likely to be a pseudo-period, if the AIC_diff exceeds −5. …”
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  13. 553

    Crack Recognition Algorithm Integrating Attention Mechanism and Region Growth Method by LING Xiaokang, ZHAN Jie, MA Jianfei

    Published 2023-01-01
    “…To optimize traditional crack identification methods,improve the robustness and accuracy of the crack identification method,and realize automatic crack identification,this paper proposes a crack recognition algorithm integrating attention mechanism and region growth.It establishes dynamic thresholds and obtains the crack results under different thresholds by employing the region growth method.The attention mechanism is introduced to assign different weight coefficients to each pixel of the image according to the crack identification under dynamic thresholds for more accurate crack recognition results.Finally,the characteristic information of cracks is determined by the length of the crack skeleton and the area occupied by the crack region (length and average width of the crack).Through verifying field crack images,the results show that the crack characteristic information identified by the crack identification method integrating attention mechanism and region growth is basically consistent with the actual crack characteristics.The method features strong robustness and identification accuracy,which provides support for engineering health monitoring.…”
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  14. 554

    Comparing weight loss rates between males and females: a preliminary analysis by Valentina Rodriguez Da Silva, Ryan Singh, Valeria V. Silva Ramirez, Daniel Arevalo, Eric T. Trexler, Landon Shannahan, John Solis, Samuel Blanke, Samuel Evers, Talon Westervelt, John Holtje, Bill I. Campbell

    Published 2025-09-01
    “…Mean time to reach this threshold was 9.45 ± 3.38 weeks for females and 8.71 ± 2.80 weeks for males.Conclusion Although males and females present different biological profiles that result in differing body composition outcomes, under a controlled caloric deficit, males and females lose 5% of body weight at similar rates, with no significant difference between groups. …”
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  15. 555

    Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

    Published 2025-03-01
    “…Firstly, to address the impact of varying illumination on edge recognition, we introduce an entropy-based adaptive thresholding method. This approach maintains stable performance under different lighting conditions, ensuring accurate extraction of component edges. …”
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  16. 556

    Comparative efficacy of different lengths of anterior cruciate ligament stump during reconstruction with peroneus longus tendon by Chunrong Chen, Zhang Jing, Zhimin Li, Minghua Hu, Chaoyong Bei, Linwei Xin

    Published 2025-04-01
    “…The knee joint proprioceptive threshold of passive motor perception was used to evaluate recovery of proprioception. …”
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  17. 557

    Evaluation of Image Segmentation Methods for In Situ Quality Assessment in Additive Manufacturing by Tushar Saini, Panos S. Shiakolas, Christopher McMurrough

    Published 2024-11-01
    “…This research evaluated five image segmentation methods (simple thresholding, adaptive thresholding, Sobel edge detector, Canny edge detector, and watershed transform) on the same platform for their effectiveness in isolating and identifying features in 3D-printed layers under different contrast conditions for in situ quality assessment. …”
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  18. 558

    Research on Quantitative Safety Risk Assessment Methods at Vehicle Controllability Level by Lei He, Zichong Li, Xuezhu Yang, Yuanle Zhou, Zikun Qu, Zhiqiang Ren

    Published 2025-01-01
    “…The model is applied in multiple simulation scenarios to assess vehicle controllability under different conditions. Additionally, the safety boundaries of motor torque are determined at varying speeds, providing insights into critical thresholds beyond which the vehicle’s controllability may be compromised. …”
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  19. 559

    Comparison of Factors Affecting Quality of Life in Patients with Acute Ischemic Stroke Across Different Stroke Severities by Yuxuan Lu, Weiping Sun, Yining Huang, Zhaoxia Wang, Zhiyuan Shen, Wei Sun, Ran Liu, Fan Li, Junlong Shu, Qing Peng, Jingjing Jia, Peng Sun, Yijun Song, Haiqiang Jin, CASTOR Investigators

    Published 2025-04-01
    “…Higher hospitalization costs did not consistently improve QoL beyond a certain threshold. Trial Registration ClinicalTrials.gov Identifier: NCT02470624.…”
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  20. 560

    Quality evaluation and influencing factors analysis of 6-minute walking test in coronary heart disease patients (冠心病患者6分钟步行试验质量评价与原因分析) by WANG Shanshan (王珊珊)

    Published 2023-02-01
    “…Objective To investigate the influencing factors of accuracy of 6-minute walking test (6MWT) for patients with coronary heart disease, and to summarize strategies to improve the quality of 6MWT. Methods The oxygen uptake and heart rate at anaerobic threshold in the Cardiopulmonary Exercise Test (CPET) were set as the standards of testing, and the peak oxygen uptake and maximal heart rate of 6MWT among different groups were analyzed by chi-square test. …”
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