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  1. 181

    Evaluating the Impact of Smart Infusion Pump Interoperability on Reducing Medication Administration Errors: A Systematic Literature Review by Borrelli EP, Lucaci JD, Wilson NS, Taneja A, Weiss M, Beer I

    Published 2025-04-01
    “…For the primary outcome of assessing medication administration errors impactable by interoperability, interoperability implementation resulted in a 15.4% to 54.8% reduction in specific medication administration errors. …”
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    Article
  2. 182

    Analysis of Student Errors According to the Nolting Procedure on Mathematical Literacy Problems in View of Kolb's Divergent and Assimilation Styles by Luna Stefani, Liana Metta, Doni Azmi Roma

    Published 2024-01-01
    “…This study describes the types of student errors based on the Nolting procedure on mathematical literacy problems in the form of AKM questions in terms of Kolb's divergent and assimilation styles. …”
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  3. 183

    Reduced Gaussian Kernel Filtered-x LMS Algorithm with Historical Error Correction for Nonlinear Active Noise Control by Jinhua Ku, Hongyu Han, Weixi Zhou, Hong Wang, Sheng Zhang

    Published 2024-11-01
    “…To further enhance noise reduction, we also develop the historical error correction RGKxLMS (HECRGKxLMS) algorithm, incorporating historical error information. …”
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  4. 184

    A Self-Adaptive Regression-Based Multivariate Data Compression Scheme with Error Bound in Wireless Sensor Networks by Jianming Zhang, Kun Yang, Lingyun Xiang, Yuansheng Luo, Bing Xiong, Qiang Tang

    Published 2013-03-01
    “…By designing an incremental algorithm for computing regression coefficients, a multivariate data compression scheme based on self-adaptive regression with infinite norm error bound for WSNs is proposed. According to error bounds and compression incomes, the self-adaption means that the proposed algorithms make decisions automatically to transmit raw data or regression coefficients, and to select the number of data involved in regression. …”
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  5. 185

    Geolocation error compensation method for geocoded SAR images using pixel-offset series without control points by Liqun Liu, Zhiwei Li, Yan Zhu, Yifan Zhang, Chenglong Cao, Xun Du, Kun Han, Haiqiang Fu

    Published 2025-08-01
    “…Experiments with geocoded TanDEM-X SAR images near Guangzhou, China, demonstrate that the method (1) is independent of reference image position and can resist the gross geolocation error in geocoding to a certain extent, and (2) improves the root-mean-square error of the geolocation error at the tie-points to 0.72 pixels, a 65% reduction. …”
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  6. 186

    Application of type I and II error analysis to support economic decision-making of using an immunomodulator feed additive by L.T. Casarotto, A. De Vries, J.D. Chapman, L.O. Ely, G.E. Dahl

    Published 2024-12-01
    “…The type I and II error analysis can aid in decision-making process to evaluate the adoption of a new technology.…”
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  7. 187

    A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

    Published 2025-04-01
    “…The experimental results demonstrate 96.94% and 65.63% reductions in absolute average errors for the pitch and roll angles, respectively, especially when the maximum positioning error under the maximum load condition is controlled within ±5%, which significantly enhances motion accuracy and robustness under complex working conditions. …”
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    Article
  8. 188

    Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

    Published 2023-03-01
    “…Therein, error reductions and effectivity indices are consulted to establish the robustness and efficiency of our framework.…”
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  9. 189

    Anterior insular cortex glutamate-glutamine (Glx) levels predict general psychopathology via heightened error sensitivity by Haeorum Park, Minchul Kim, Minchul Kim, Jaejoong Kim, Jaejoong Kim, Sunghwan Kim, Sunghwan Kim, Bumseok Jeong

    Published 2025-07-01
    “…IntroductionThe anterior insular cortex (AIC) integrates interoceptive, cognitive-emotional, and error-monitoring signals, and is consistently hyperactive in anxiety and depression. …”
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  10. 190
  11. 191

    Piecewise-linear companding transform for peak-to-average power ratio reduction of OFDM signals by YANG Pin-lu, HU Ai-qun

    Published 2011-01-01
    “…In order to reduce the peak-to-average power ratio(PAPR) of orthogonal frequency division multiplexing(OFDM) signals,a piecewise-linear companding transform was proposed.Small amplitudes were multiplied by a scale factor,while large ones were not only multiplied by a scale factor but also added by a shift.The resulting companding transform was piecewise-linear and continuous.It can provide significant PAPR reduction performance with low compu-tational complexity,and has low influence on system performances through piecewise transform.It is shown by theoreti-cal analysis and simulation that,a good trade-off between PAPR reduction and bit-error-rate performances can be achieved by carefully choosing the two scales and the shift.Furthermore,compared with existing linear and nonlinear companding transforms,a better power spectral density performance can be achieved.…”
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  12. 192

    Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

    Published 2023-04-01
    “…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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  13. 193

    Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system by Guang YANG, Zhaoyang WU, Min NIE, Xiaohong YAN, Fan JIANG

    Published 2023-04-01
    “…In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi-wavelet OFDM technology was proposed firstly.However, the PAPR reduction was limited and the computational complexity was high.To solve this problem, a multi-wavelet OFDM PAPR reduction algorithm based on conditional Wasserstein generative adversarial network (CWGAN) and SLM was proposed, which was called CWGAN-SLM algorithm.CWGAN was introduced to generate more time-domain alternative signals to reduce the PAPR in the CWGAN-SLM algorithm.Simulation results indicate that the CWGAN-SLM algorithm greatly reduces the PAPR of the system and the computational complexity, and has a lower bit error rate.Compared with the GAN and WGAN, the CWGAN has the advantages of easy training, strong stability and good PAPR performance.…”
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    Article
  14. 194
  15. 195

    PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

    Published 2011-01-01
    “…A novel peak-to-average power ratio (PAPR) reduction technique for orthogonal frequency division multiplexing (OFDM) systems is addressed. …”
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  16. 196
  17. 197

    Impacts of inter-train distances on aerodynamic drag reduction in heavy-haul train groups by LYU Jun, XIANG Tao, SONG Zongying, GAO Guangjun

    Published 2024-09-01
    “…The comparison indicated an error of 3.4%, suggesting a close alignment between the numerical simulation data and the results from the wind tunnel experiments. …”
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  18. 198
  19. 199

    Joint Sparse Local Linear Discriminant Analysis for Feature Dimensionality Reduction of Hyperspectral Images by Cong-Yin Cao, Meng-Ting Li, Yang-Jun Deng, Longfei Ren, Yi Liu, Xing-Hui Zhu

    Published 2024-11-01
    “…Finally, extensive experiments conducted on three hyperspectral image (HSI) datasets demonstrated that the performance of JSLLDA surpassed that of some related state-of-the-art dimensionality reduction methods.…”
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  20. 200