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  1. 2221

    Evaluation of Decision-Making Processes and Impact Levels in Apparent Loss Management Using Analytic Hierarchy Process (AHP) and Fuzzy AHP by Furkan Acar, Cansu Bozkurt, Mahmut Fırat

    Published 2025-07-01
    “…Apparent losses including the water theft, illegal usages, losses due to the inaccuracies in water meters, billing errors and incomplete data recording cause loss of income as well as water and energy loss. …”
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  2. 2222

    Benefits of medication charts provided at transitions of care: a narrative systematic review by Fine Michèle Dietrich, Kurt E Hersberger, Isabelle Arnet

    Published 2020-10-01
    “…In the ‘patient theme’, the most obvious benefits were an increase in medication knowledge, a reduction of medication errors and higher medication adherence. …”
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  3. 2223

    Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

    Published 2024-11-01
    “…The results of these studies can provide the basis for further research in the field of constructing confidence intervals and obtaining estimates of the convergence rate, which, in turn, will make it possible to obtain specific values of errors in signal processing for a wide range of thresholding methods.…”
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  4. 2224

    Logística e troca eletrônica de informação em empresas automobilísticas e alimentícias Logistics and electronic information interchange in automotive and food companies by Karine Araújo Ferreira, Maria Rita Pontes Assumpção Alves

    Published 2005-12-01
    “…Therefore, food processing industries aim to reduce both errors and cycle-time orders; as well as to improve inventory visibility and transport planning in the distribution of its products. …”
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    Article
  5. 2225

    Effect of using bolus on the efficiency of the 3DCRT of the breast cancer after mastectomy by Iman Ghali Hassan, Nabaa Abdulateef Rasheed Naji, Hadeel Kamil Abdullah

    Published 2024-09-01
    “…The plans had one isocenter for both breasts to avoid the errors that may cause the overlapping of the radiation fields with and without the use of bolus. …”
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  6. 2226

    Attitudes and Familiarity of Hospital Administrative and Medical Staff Towards Artificial Intelligence: A cross-sectional study in Turkey by Beyza Büyükkaya, Selma Altındiş, Gazi Ünlü

    Published 2025-05-01
    “…In contrast, attitudes were divided regarding AI’s ability to reduce healthcare costs, minimize errors, offer a competitive advantage, assist in decision-making, and optimize healthcare resources. …”
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  7. 2227

    Analysis of Biological Samples in a Contemporary Laboratory Practice (Review) by I. I. Miroshnichenko, Y. E. Shilov

    Published 2019-05-01
    “…The questions of carry-over reduction, ion suppression, matrix effect are covered. …”
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  8. 2228

    A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

    Published 2025-04-01
    “…Finite element method modeling and analysis revealed that common structural geometric errors significantly introduce the 1st harmonic. By integrating a rectangular pulse function into the mass distribution function to simulate etching grooves, spectral analysis revealed that groove depth and width determine the amplitude and gradient of introduced harmonics. …”
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  9. 2229

    A river network model using a weight-based merged LSTM for multi-source monitoring integration by Jonggyu Jung, Taeseung Park, Jaegwan Park, Dogeon Lee, YoonKyung Cha

    Published 2025-12-01
    “…The model demonstrates strong forecasting performance, with mean absolute errors ranging from 0.055 to 0.518, root mean squared errors from 0.075 to 0.784, and coefficients of determination between 0.424 and 0.721. …”
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  10. 2230

    Damage Identification in Large-Scale Structures Using Time Series Analysis and Improved Sparse Regularization by Huihui Chen, Xiaojing Yuan

    Published 2025-01-01
    “…Furthermore, regarding the numerical example, the damage identification results show that the max identification errors of the proposed method are 6% among the three cases under noise-free and noise-polluted data, while the max identification errors for MFO and the regularization method are 15% and 10%, respectively. …”
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    Article
  11. 2231

    Optimizing VGOS observations using an SNR-based scheduling approach by Matthias Schartner, Bill Petrachenko, Mike Titus, Hana Krásná, John Barrett, Dan Hoak, Dhiman Mondal, Ming Hui Xu, Benedikt Soja

    Published 2025-05-01
    “…In addition, Earth orientation parameters showed significant improvement, with a 40 % to 50 % reduction in formal errors. Graphical Abstract…”
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  12. 2232

    SERF magnetometer array using concurrent amplitude-stabilized optical modulation by Ziqian Yue, Yueyang Zhai, Yuhao Wang, Xiangjin Xu, Junjian Tang

    Published 2025-08-01
    “…Moreover, the array shows high measurement consistency within 10–100 pT, with measurement errors below 0.76 pT and non-linear errors less than 2 %. …”
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  13. 2233

    A Novel Hybrid Approach for UT1-UTC Ultra-Short-Term Prediction Utilizing LOD Series and Sum Series of LOD and First-Order-Difference UT1-UTC by Fei Ye, Minsi Ao, Ningbo Li, Rong Zeng, Xiangqiang Zeng

    Published 2025-02-01
    “…The evaluation demonstrated promising results: (1) The mean absolute errors (MAEs) of the proposed method range from 21 to 869 µs in 1–10-day UT1-UTC predictions. (2) Comparative analysis against zero-/first-/second-order-difference LS + AR and zero-/first-order-difference LS + MAR hybrid method reveals a substantial reduction in MAEs by an average of 54/64/44 µs, and 47/20 µs, respectively, with the proposed method. (3) Correspondingly, the proposed method achieves average improvement percentages of 17%/18%/15%, and 13%/3% in 1–10-day UT1-UTC predictions.…”
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  14. 2234
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  16. 2236

    Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Vadim Tynchenko, Alexander Lomazov, Vadim Lomazov, Dmitry Evsyukov, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Ivan Malashin

    Published 2024-11-01
    “…In computational experiments, the use of fuzzy procedures resulted in an over 25% reduction in errors compared to traditional methods, particularly in adjusting project scenarios from pessimistic to baseline projections. …”
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  17. 2237

    Multi-decadal spatiotemporal dynamics of alpine plant functional types (PFTs) inferred from Landsat-derived fractional cover across the Yarlung Zangbo river basin, China by Qichi Yang, Lihui Wang, Xiaoqi Li, Xue Yan, Jinliang Huang, Yun Du, Feng Ling

    Published 2025-08-01
    “…Climate-induced shifts in the composition and structure of alpine vegetation cover, both expansion and reduction, are altering alpine ecosystem functions. …”
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  18. 2238

    Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

    Published 2025-01-01
    “…To keep the separability, the mask is periodically updated during the training by binarizing the reconstruction errors. Our training strategy is model-independent, making it possible to apply to different DNN structures. …”
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  19. 2239

    Predictive Energy Management Strategy for Heavy-Duty Series Hybrid Electric Vehicles Based on Drive Power Prediction by Yuan Cao, Changshui Liang, Shi Cheng, Xinxian Yin, Daxin Chen, Zhixi Liu, Chaoyang Sun, Tao Chen

    Published 2025-03-01
    “…Within the prediction timeframe, different rolling calculation energy distribution methods utilizing equivalent factors are employed to achieve optimal energy consumption reduction. Road experiment data demonstrate that identification errors for various vehicle weights remain below 3%. …”
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  20. 2240

    Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

    Published 2024-09-01
    “…The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
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    Article