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  1. 1641

    Comparative Evaluation of Vibratory Physiotherapy Methods in the Early Period after Cardiac Surgery by А. А. Eremenko, T. P. Zyulyaeva, D. V., Ryabova, А. P. Аlferova

    Published 2022-01-01
    “…Mechanical respiratory therapy procedures led to significant improvement in gas exchange variables, as evidenced by an increase in SpO2 in Groups 1 and 2 (p = 0.000009 and 0.000001, respectively) and a decrease in the proportion of patients with impaired oxygenating lung function (SpO2 below 92%) by 11 and 12 times, respectively (p < 0.01). …”
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  2. 1642

    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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  3. 1643

    Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

    Published 2025-12-01
    “…Under the BIA, an alpha coefficient (α) of 15% is applied, whereas in the SA, each business line has a specific beta coefficient (β) ranging between 12% and 18%. …”
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  4. 1644

    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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  5. 1645
  6. 1646

    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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  7. 1647

    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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  8. 1648

    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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  9. 1649

    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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  10. 1650

    Mass transpiration impact on effectiveness of heat transport of ternary hybrid nanofluid with velocity slip by S. Bilal, Muhammad Yasir

    Published 2025-09-01
    “…Furthermore, the implication of externally applied magnetic field and suction causes the opposite i.e. increasing and decreasing impact on velocity distribution respectively for first and second-branch solutions. Radiation and variable heat sources exclusively raise the temperature distribution in all situations.…”
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  11. 1651

    Neural Network and Generalized Extended State Observer Sliding Mode Control of Hydraulic Cylinder Position in the Independent Metering Control System with Digital Valves by Xiangfei Tao, Kailei Liu, Jing Yang

    Published 2025-04-01
    “…Consequently, a variable structure high-order sliding mode control strategy, augmented by RBF neural networks and finite time generalized extended state observer (RBF-GESO-SMC), is proposed. …”
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  12. 1652

    High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

    Published 2022-01-01
    “…The measuring parameters like robustness against noise and element quantity, estimation accuracy, computation complexity, various numbers of hydrophones, variability analysis, frequency distribution and cumulative distribution function of root mean square error (RMSE), and resolution ability are applied for analyzing the performance of the proposed model with additive white Gaussian noise (AWGN). …”
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  13. 1653

    RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

    Published 2025-07-01
    “…Additionally, the minimum point distance intersection over union (MPDIoU) loss function is proposed to enhance bounding box regression efficiency, mitigating challenges posed by overlapping targets and positional deviations. …”
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  14. 1654

    Dual RNA-seq reveals transcriptome changes during Fusarium virguliforme-Trichoderma afroharzianum interactions. by Mirian F Pimentel, Leonardo F Rocha, Arjun Subedi, Jason P Bond, Ahmad M Fakhoury

    Published 2025-01-01
    “…While extensive work has been done to understand Trichoderma antagonistic mechanisms, additional research is needed to fully understand how Trichoderma spp. recognize the pathogen-host and the intra-species variability i frequently observed upon interaction with a specific pathogen-host. …”
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  15. 1655

    Optimized Blade Design of Counter-Rotating-Type Pump-Turbine Unit Operating in Pump and Turbine Modes by Jin-Woo Kim, Jun-Won Suh, Young-Seok Choi, Kyoung-Yong Lee, Toshiaki Kanemoto, Jin-Hyuk Kim

    Published 2018-01-01
    “…The pump and turbine mode efficiencies of the unit were selected as the objective functions and they combined into a single specific objective function with the weighting factors. …”
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  16. 1656

    Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems by Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama, Mayuka Kono

    Published 2025-01-01
    “…Regression analysis confirmed the robustness of our approach against confounding variables like outdoor conditions and occupancy levels. …”
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  17. 1657
  18. 1658

    eDNAjoint: An R package for interpreting paired or semi‐paired environmental DNA and traditional survey data in a Bayesian framework by Abigail G. Keller, Ryan P. Kelly

    Published 2025-05-01
    “…Abstract Environmental DNA (eDNA) sampling is increasingly used in surveys of species distribution as a potentially sensitive and efficient monitoring method. Yet access to modelling tools designed specifically for interpreting this new data type lags behind its ubiquity. …”
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  19. 1659

    Thermo-economic optimization of a hybrid solar-wind energy system for the production of clean hydrogen and electricity by Ali Bedakhanian, Akbar Maleki, Siavash Haghighat

    Published 2025-03-01
    “…The objective functions included total cost rate and total exergy efficiency. …”
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  20. 1660

    Automated Geographic Information System Multi-Criteria Decision Tool to Assess Urban Road Suitability for Active Mobility by Bertha Santos, Sandro Ferreira, Pollyanna Lucena

    Published 2024-11-01
    “…The treatment, representation, and study of the variables considered in the analysis are carried out with the aid of geoprocessing, using the spatial and network analysis tools available in the GIS. …”
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