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  1. 481

    An efficient dynamic reliability method for maglev vehicle-bridge systems and its application in random controller parameters analysis by Lidong Wang, Qingrong Li, Xun Zhang, Xiumeng Bu, Peng Hu, Yan Han

    Published 2025-03-01
    “…Next, an adaptive surrogate model of the equivalent extreme value of the system dynamic response is established by combining an adaptive sampling method with radial basis functions. Finally, the adaptive surrogate model and PDEM are combined to further improve the efficiency of the dynamic reliability analysis. …”
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    Article
  2. 482

    An analysis of agricultural production efficiency of Yellow River Basin based on a three-stage DEA Malmquist model by Xiejun Cheng, Jinxin Bian, Dongmei He, Decai Tang

    Published 2025-08-01
    “…Abstract Agriculture functions as the cornerstone of national development, and the Yellow River Basin (YRB) plays a crucial role in China’s economy. …”
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    Article
  3. 483

    Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

    Published 2024-12-01
    “…Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer’s disease classification. …”
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    Article
  4. 484
  5. 485

    Non-parametric calibration estimation of distribution function under stratified random sampling by Abdullah Mohammed Alomair, Weineng Zhu, Usman Shahzad, Fawaz Khaled Alarfaj

    Published 2025-02-01
    “…By leveraging auxiliary information under a stratified random sampling (StRS) framework, the proposed methodology employs multiple calibration constraints with a chi-square distance measure to derive calibrated weights, enhancing estimation efficiency. The estimators incorporate key descriptive measures of auxiliary variable, including the CDF and coefficient of variation, and tackle the challenge of bandwidth selection using advanced techniques such as plug-in selectors and cross-validation approaches. …”
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    Article
  6. 486
  7. 487

    Modeling TEC Irregularities in the Arctic Ionosphere Using Empirical Orthogonal Function Method by Yaqi Jin, Wojciech J. Miloch, Daria Kotova, Knut Stanley Jacobsen, Đorđe Stevanović, Lasse B. N. Clausen, Nicholas Ssessanga, Federico DaDalt

    Published 2023-08-01
    “…To develop a climatological model, the ROTI maps are decomposed into base functions and coefficients using the empirical orthogonal function (EOF) method. …”
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    Article
  8. 488
  9. 489

    Multi-Dimensional Analytic Functions for Laplace Equations and Generalized Cauchy–Riemann Equations by Chein-Shan Liu, Zhuojia Fu, Chung-Lun Kuo

    Published 2025-04-01
    “…Since the projective variable is a complex variable, we can construct the analytic function based on the conventional complex analytic function theory. …”
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    Article
  10. 490

    Role of the functional status of the autonomic nervous system in the clinical course of purulent meningitis by D. A. Zadiraka, O. V. Ryabokon

    Published 2014-04-01
    “…Research aim: to increase the autonomic dysfunction diagnostics efficiency for patients suffering from purulent meningitis in the disease dynamics based on the complex of clinical evidence and functional status of autonomic nervous system. …”
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    Article
  11. 491

    Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures by Sergei Yu. Tsiupka, Valentina A. Tsiupka, Ilya V. Bulavin

    Published 2025-02-01
    “…At a low gradient of temperature exposure (-7... - 10°C), leaf tissues of the European selection varieties ‘Coreggiolo’, ‘Ascolano’, ‘Leccino’ and ‘Razzo’ were damaged: electrical conductivity reached 15%, chlorophyll stability index decreased, variable fluorescence and photosynthetic activity coefficients decreased, uncontrolled photon quenching was significantly higher than the effective photochemical quantum yield and non-photochemical quenching. …”
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    Article
  12. 492

    A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

    Published 2025-10-01
    “…Recent studies have attempted to enhance detection performance through multimodal information fusion, yet they largely overlook the impact of functional connectivity among multimodal signals. To address this limitation, we propose a novel multimodal fatigue classification framework integrating electroencephalogram (EEG) and electrocardiogram (ECG) signals. …”
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    Article
  13. 493
  14. 494

    Regularized regression outperforms trees for predicting cognitive function in the Health and Retirement Study by Kyle Masato Ishikawa, Deborah Taira, Joseph Keaweʻaimoku Kaholokula, Matthew Uechi, James Davis, Eunjung Lim

    Published 2025-09-01
    “…Model performance was evaluated using RMSE and R2 and interpretability was assessed via coefficients, variable importance, and decision trees. …”
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    Article
  15. 495

    Personalized ML-based wearable robot control improves impaired arm function by James Arnold, Prabhat Pathak, Yichu Jin, David Pont-Esteban, Connor M. McCann, Carolin Lehmacher, John P. Bonadonna, Tanguy Lewko, Katherine M. Burke, Sarah Cavanagh, Lynn Blaney, Kelly Rishe, Tazzy Cole, Sabrina Paganoni, David Lin, Conor J. Walsh

    Published 2025-08-01
    “…Abstract Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. …”
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    Article
  16. 496
  17. 497

    Consumptive Water Use and Efficiency of Irrigated U.S. Corn: Learning From Hundreds of Site‐Management‐Year Observations by Meetpal S. Kukal

    Published 2024-08-01
    “…With the largest water footprint, irrigated corn production in the U.S. must be assessed for its ETc and water use efficiency (WUE) at a scale meaningful for producers and water managers. …”
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  18. 498

    Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

    Published 2025-06-01
    “…Furthermore, the least values of coefficient of variability (CV) in the device switching voltages are 6.09% (VSET) and 3.22% (VRESET) in the case of device-to-device (D2D) while 1.76% (VSET) and 2.14% (VRESET) in the case of cycle-to-cycle (C2C). …”
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  19. 499

    Association between various blood glucose variability-related indicators during early ICU admission and 28-day mortality in non-diabetic patients with sepsis by Jingyan Zhou, Zhiheng Chen, Hao-Neng Huang, Chun-Quan Ou, Xin Li

    Published 2025-01-01
    “…The dose-response relationship between BG variability-related indexes and mortality was explored using multivariate logistic regression with restricted cubic spline (RCS) function. …”
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    Article
  20. 500

    Comparison of Blood Pressure Variability between 24 h Ambulatory Monitoring and Office Blood Pressure in Diabetics and Nondiabetic Patients: A Cross-Sectional Study by Ana Lídia Rouxinol-Dias, Marta Lisandra Gonçalves, Diogo Ramalho, Jose Silva, Loide Barbosa, Jorge Polónia

    Published 2022-01-01
    “…We found that diabetes is associated with higher variability of daytime BP than nondiabetics along with worse damage of vascular and renal function. …”
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    Article