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  1. 761

    Ionospheric Correction Based on Ingestion of Global Ionospheric Maps into the NeQuick 2 Model by Xiao Yu, Chengli She, Weimin Zhen, Nava Bruno, Dun Liu, Xinan Yue, Ming Ou, Jisheng Xu

    Published 2015-01-01
    “…The accuracy of TEC prediction can be improved further through performing a four-coefficient function expression of Az versus MODIP. …”
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    Article
  2. 762

    Measuring and estimation of suspended sediment variation using sediment rating curve approach in Mereg River by Sohila Aghabeigi Amin, Heidar Mirzaei

    Published 2017-08-01
    “…Therefore, recognizing the variability of rivers is essential to manage water resources and environmental issues. …”
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    Article
  3. 763
  4. 764

    XPolypNet: A U-Net-Based Model for Semantic Segmentation of Gastrointestinal Polyps With Explainable AI by Arjun Kumar Bose Arnob, Muhammad Mostafa Monowar, Md. Abdul Hamid, M. F. Mridha

    Published 2025-01-01
    “…Although the model exhibited satisfactory performance, it still faced challenges regarding boundary misclassification and reduced efficacy in datasets with high variability. The next steps of this research will focus on domain adaptation and integration of additional modalities to enhance generalizability. …”
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    Article
  5. 765

    Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics by T. D. Besedina, A. P. Boyko, Ts. V. Tutberidze, N. S. Kiseleva

    Published 2021-04-01
    “…The expediency of the crop’s large-scale cultivation calls for measuring the parameters of agroclimatic indicators, ranging in variability, intensity, and duration of their impact. …”
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    Article
  6. 766

    Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams by Thomas G. Westfall, Tim J. Peterson, Anna Lintern, Andrew W. Western

    Published 2025-06-01
    “…However, significant variability within high‐frequency data sets can result in poor explanation of temporal dynamics using the simple C‐Q equation. …”
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    Article
  7. 767

    Automatic detection of optic canal fractures and recognition and segmentation of anatomical structures in the orbital apex based on artificial intelligence by Yu-Lin Li, Yu-Hao Li, Mu-Yang Wei, Guang-Yu Li

    Published 2025-05-01
    “…Timely and accurate diagnosis and treatment are crucial for preserving visual function. However, diagnosing OCF can be challenging for inexperienced clinicians due to atypical OCF changes in imaging studies and variability in optic canal anatomy. …”
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    Article
  8. 768

    Respiratory Muscle Strength as a Predictor of VO2max and Aerobic Endurance in Competitive Athletes by Gökhan Deliceoğlu, Banu Kabak, Veli O. Çakır, Halil İbrahim Ceylan, Muntean Raul-Ioan, Dan Iulian Alexe, Valentina Stefanica

    Published 2024-10-01
    “…Conversely, the other predictor variables did not exhibit a significant effect on VE (mean ± SD: 134.80 ± 36.69), VO<sub>2</sub> (mean ± SD: 3877.52 ± 868.47 mL), and VCO<sub>2</sub> (mean ± SD: 4301.27 ± 1001.07 mL). …”
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    Article
  9. 769

    Leveraging Cognitive and Speech Ecological Momentary Assessment in Individuals With Phenylketonuria: Development and Usability Study of Cognitive Fluctuations in a Rare Disease Pop... by Shifali Singh, Lisa Kluen, Katelin Curtis, Raquel Norel, Carla Agurto, Elizabeth Grinspoon, Zoe Hawks, Shawn Christ, Susan Waisbren, Guillermo Cecchi, Laura Germine

    Published 2025-06-01
    “…Similarly, to assess variability in task performance over the course of all EMAs, the coefficient of variability was computed; 28% for the task measuring sustained attention, 37% for semantic fluency, 15.8% for the task measuring executive functioning, and 17.6% for processing speed. …”
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    Article
  10. 770

    Thermoelastic damping in piezothermoelastic nanobeam resonators under the strain gradient theory with micro-inertia and non-fourier heat conduction by Olha Hrytsyna, Maryan Hrytsyna

    Published 2025-06-01
    “…To account for small-scale effects, the Helmholtz free energy density is defined as a function of the strain tensor, strain gradient tensor, electric field vector, and temperature field, considering these parameters as independent state variables. …”
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    Article
  11. 771

    Adaptive Fault-Tolerant Control of Mobile Robots with Fractional-Order Exponential Super-Twisting Sliding Mode by Hao Wu, Shuting Wang, Yuanlong Xie, Hu Li

    Published 2024-10-01
    “…The proposed FTC scheme achieves fast convergence and the sliding variables can be confined in a predetermined neighborhood of the sliding manifold under actuator faults. …”
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    Article
  12. 772

    Performance Analysis of Reconfigurable Intelligent Surface-Assisted Underwater Wireless Optical Communication Systems by Qi Zhang, Dian-Wu Yue, Xian-Ying Xu

    Published 2024-01-01
    “…In the RIS-assisted UWOC systems with intensity modulation and direct detection (IM-DD), we apply the approximate distribution of the sum of Gamma-Gamma random variables to derive the probability density function (PDF) of the instantaneous received signal-to-noise ratio (SNR) for the first time. …”
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  13. 773

    Commercial Vehicle Ride Comfort Optimization Based on Intelligent Algorithms and Nonlinear Damping by Shuilong He, Keren Chen, Enyong Xu, Wei Wang, Zhansi Jiang

    Published 2019-01-01
    “…The sum of the frequency-weighted RMS of the driver seat acceleration, the RMS of dynamic tyre load, and suspension working space is taken as the objective function in this article, using nonlinear damping coefficients and stiffness of suspension as design variables. …”
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  14. 774

    RESOURCE USE EFFICIENCY OF TEMPERATE SILK COCOONS IN NORTH-WESTERN HIMALAYAN REGION OF KASHMIR VALLEY, JAMMU AND KASHMIR, INDIA by Ruyida MUSHTAQ, Tariq Ahmed RAJA, Abida FAYAZ, Harmeet SINGH, Pervez AHMED, Mushtaq Rasool MIR, Rajesh YADAV

    Published 2022-01-01
    “…As the total of calculated coefficients of significant variables was found to be more than unity, (1.32).MVP indicates that there is still scope to invest in the study's elements in order to attain the best resource combination and profit maximisation. …”
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  15. 775

    IrrigApp: An Online Tool for Determining Crop Water Use and Evaluating Irrigation Scheduling Options by José O. Payero

    Published 2025-01-01
    “…IrrigApp calculates daily crop evapotranspiration (ETc) and conducts a daily soil water balance to estimate several daily and seasonal variables, such as ETc under dryland and irrigated conditions, soil water content in the crop root zone, and water losses by runoff and deep percolation. …”
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  16. 776

    Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 by A. Lauer, L. Bock, B. Hassler, P. Jöckel, L. Ruhe, M. Schlund

    Published 2025-02-01
    “…While the examples shown here focus on atmospheric variables, the new functionality can be applied to any other ESM component such as land, ocean, sea ice, or land ice. …”
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  17. 777

    Correlation Between Hallux Valgus Severity, Abductor Hallucis Muscle Properties, and Plantar Pressure Distribution by Kyeong-Ah Moon, Ye Jin Kim, Hye-Seon Jeon

    Published 2024-12-01
    “…Objects: This study aimed to explore how changes in skeletal, muscular, and functional variables correlate with HV severity and to provide evidence for more integrated treatment approaches. …”
    Article
  18. 778

    Study on the Photosynthetic Physiological Responses of Greenhouse Young Chinese Cabbage (<i>Brassica rapa</i> L. <i>Chinensis Group</i>) Affected by Particulate Matter Based on Hyp... by Lijuan Kong, Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Yue Yu, Haiye Yu

    Published 2025-05-01
    “…Physiological Reflectance Index (PRI), Modified Chlorophyll Absorption Ratio Index (MCARI), spectral red-edge position (λr), and spectral sensitive bands were used as spectral feature variables. Through cubic polynomial and 24 combinations of spectral preprocessing and modeling methods, an inversion model of spectral features and net photosynthetic rate was established. …”
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    Article
  19. 779

    Hydrodynamic and sensitivity analysis of a polymeric calendering process for non-Newtonian fluids with temperature-dependent viscosity by Ali Fateh, Zahid Muhammad, Farmer M., Al Taisan Nada, Faqihi Abdullah A., Souayeh Basma, Raju S. Suresh Kumar, Alam Mir Waqas

    Published 2025-08-01
    “…Additionally, using the response surface method, Nusselt number (Nu)(\text{Nu}), sheet thickness HH0\left(\phantom{\rule[-0.75em]{}{0ex}},\frac{H}{{H}_{0}}\right), and shear stress (Sxy)({S}_{xy}), simulations were carried out to investigate the influence of variable viscoelastic parameters on the response functions (Nu\text{Nu}, HH0\frac{H}{{H}_{0}}, and Sxy{S}_{xy}). …”
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  20. 780

    A simple model of the rheological curve of HPAM solutions at different temperatures by Eduar Pérez, Dario Alviso, Mauricio Carmona, Eduardo Manrique, Guillermo Artana

    Published 2024-12-01
    “…The solvent viscosity and relaxation time-employed as references to define these parameters-are functions of temperature. On the master surface, while the power coefficient of Carreau-Yasuda (n) exhibits only a slight dependency on temperature, the relative viscosity depends monotonically on this variable. …”
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