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  1. 1121

    Novel non-destructive authentication of nine Dendrobium species using residual convolutional neural network relying on plant images and FT-NIR spectral information by Yulin Xu, Lian Li, Yuanzhong Wang, Qiang Hu

    Published 2025-08-01
    “…When the weight decay coefficient λ of the deep learning model based on ResNet is 0.0001 and the learning rate is 0.01, it can identify up to 100 % of Dendrobium species. …”
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    Article
  2. 1122

    Teacher Quality Dimensions in Improving the Quality of National Education at Madrasah Aliyah in Lampung by M. Ihsan Dacholfany, Agus Wibowo, Muhammad Kharis Fadillah

    Published 2023-01-01
    “…In addition, the results of the information obtained by students expect quality teachers such as having preparation, knowledge/ability in teaching, class management, personality, dedication, open-mindedness, responsibility, varied teaching methods, punctual work, and good judgment. …”
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    Article
  3. 1123

    Performance of EncephalApp Stroop Test in Cirrhotic Patients for Evaluating Covert Hepatic Encephalopathy by Juferdy Kurniawan, Stefanus Satrio Ranty, Andri Sanityoso Sulaiman, Rino Alvani Gani

    Published 2023-11-01
    “…This study aimed to validate and test the reliability and diagnostic ability of EncephalApp Stroop Test to diagnose covert HE, compared to the Psychometric Hepatic Encephalopathy Score (PHES) and critical flicker frequency (CFF). …”
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    Article
  4. 1124

    Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach by Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary

    Published 2024-11-01
    “…If not managed properly, it can lead to human losses, property damage, and the destruction of livelihoods. The ability to rapidly assess such damages is crucial for emergency management. …”
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    Article
  5. 1125

    Predicting Aboveground Carbon Storage in Different Types of Forests in South Subtropical Regions Using Machine Learning Models by Jiarun Liu, Zihang Yang, Lin Li, Xiaoxue Chu, Shiguang Wei, Juyu Lian

    Published 2025-05-01
    “…The model with the best generalization ability was selected to calculate SHAP values for each predictor. …”
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  6. 1126
  7. 1127

    Growth differentiation factor 5 improves meniscal healing in a pilot study on rats by David Mazy, Nathaniel Léveillé, Line Séguy, Irene Londono, Florina Moldovan, Marie‐Lyne Nault

    Published 2025-04-01
    “…The aim of this study was to demonstrate, in an in vivo rat model, the ability of growth differentiation factor 5 (GDF5) to improve meniscal tear healing. …”
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  8. 1128

    The use of big data on the labor market in HR business processes of organizations in the Republic of Belarus by Alena V. Vankevich, Iryna N. Kalinouskaya

    Published 2024-12-01
    “…A significant regional differentiation of wages was revealed (coefficient of variation 23.8 %), while the average wages in the metropolitan region exceeds the national average ones by 25 %. …”
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  9. 1129

    Development of a risk score for prediction of poor treatment outcomes among patients with multidrug-resistant tuberculosis. by Kefyalew Addis Alene, Kerri Viney, Darren J Gray, Emma S McBryde, Zuhui Xu, Archie C A Clements

    Published 2020-01-01
    “…Therefore, the early prediction of poor treatment outcomes may be useful in patient care, especially for clinicians when they have the ability to make treatment decisions or offer counselling or additional support to patients. …”
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  10. 1130

    Correlation Between Spinopelvic Parameters, Body Mass Index, Waist Circumference, and Chronic Non-Specific Low Back Pain by Daphne Butzen, Yannick Smolders, Tom Stroobants, Gino Verleye, Dieter Thijs, Erik Van de Kelft

    Published 2024-12-01
    “…A significant correlation coefficient of 0.271 (<i>p</i> < 0.001; 95%CI 0.157–0.377) was found between BMI and PI and 0.410 (<i>p</i>-value < 0.001; 95%CI 0.262–0.539). …”
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  11. 1131

    Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

    Published 2020-12-01
    “…The results revealed that the Active Contour algorithm has higher segmentation accuracy when tested across the three different similarity coefficients. Moreover, the achieved results of the two algorithms verify the ability of the proposed method to choose the best RoIs of the MRI samples.…”
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  12. 1132

    Boosting the optical, physical, and gamma-ray attenuation capabilities of barium borate glasses through the addition of Y2O3 and PbO2 by K.A. Mahmoud, M.I. Sayyed, Shrikant Biradar, Yasser Maghrbi

    Published 2025-03-01
    “…The radiation shielding ability for prepared glasses was evaluated over the energy interval of 0.015–15 MeV using the Monte Carlo simulation. …”
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  13. 1133

    Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

    Published 2025-07-01
    “…Aligning with this approach, Xue et al. (2023) compared DNN performance with genetic programming and minimax probability machine regression in predicting the lateral confinement coefficient for CFRP-wrapped RC columns, showing competitive predictive capability. …”
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  14. 1134

    Informal Settlements Extraction and Fuzzy Comprehensive Evaluation of Habitat Environment Quality Based on Multi-Source Data by Zanxian Yang, Fei Yang, Yuanjing Xiang, Haiyi Yang, Chunnuan Deng, Liang Hong, Zhongchang Sun

    Published 2025-03-01
    “…These areas limit the ability to comprehensively capture spatial heterogeneity and dynamic shifts in regional sustainable development. …”
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  15. 1135

    Self-Compacting Concrete with Artificial Lightweight Aggregates from Sugarcane Ash and Calcined Scheelite Mining Waste by Jemima Tabita F. de Sousa, Marcos Alyssandro S. dos Anjos, José Anselmo da S. Neto, Evilane C. de Farias, Fernando G. Branco, Cinthia Maia Pederneiras

    Published 2025-01-01
    “…The concretes studied were subjected to characterisation tests in a fresh state; fluidity, apparent viscosity, visual stability, and passing ability were assessed through slump flow tests, flow time (T500), visual stability index, and J-ring, respectively, as well as measurement of the fresh specific mass. …”
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  16. 1136

    Knowledge, attitude, and practice regarding trauma-informed care among nursing students in Eastern China: A cross-sectional study by Di Zhang, Praneed Songwathana, Ratjai Vachprasit, Eleanor Holroyd

    Published 2025-08-01
    “…The findings provide baseline information for further development of a KAP-TIC comprehensive course and exploration of practice ability-centered TIC education for nursing students. …”
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  17. 1137

    Machine learning prediction and explanation of high intraoperative blood pressure variability for noncardiac surgery using preoperative factors by Zheng Zhang, Yi Duan, Zuozhi Li, Zhifeng Gao, Huan Zhang

    Published 2025-08-01
    “…High IBPV was defined as a coefficient of variation exceeding 20% during the surgical procedure. …”
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  18. 1138

    Heterogeneity in susceptibility and connectivity for epidemic models by Mr Tarek Alrefae

    Published 2025-03-01
    “…On one end are agent-based models (ABMs), whose ability to incorporate realistic heterogeneities is theoretically unbounded. …”
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  19. 1139

    Validation of the Chinese version of the Yale-Brown Obsessive Compulsive Scale for Pathological Gambling for individuals with gambling disorder in Mainland China by Dongli Fan, Dongli Fan, Xiyuan Zhang, Siyao Shi, Jingyang Liu, Yicheng Wei, Ge Song, Yiyi Zhou, Yuanyuan Zhu, Jingyun Shi, Xingshi Cai, Gangliang Zhong, Jiang Du

    Published 2025-05-01
    “…A total of 116 individuals with gambling disorder were recruited.ResultsReliability was assessed using Cronbach’s α coefficient (0.958) and test-retest reliability (0.722). …”
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  20. 1140

    Application value of different frailty assessment tools in older patients undergoing major abdominal surgery by Junli You, Xuepiao Chen, Yu Rong, Sining Pan, Tianxiao Liu, Yubo Xie

    Published 2025-10-01
    “…The TOPSIS indicated that EFS required optimization in multiple aspects (closeness coefficient (Ci) < 0.8). Conclusion: EFS has excellent diagnostic performance and clinical net benefit for frailty. …”
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