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  1. 4761

    Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

    Published 2025-06-01
    “…With an A-scan rate of 50 MHz, the classification model yielded 100% accuracy with a root mean square error (RMSE) of 0.2416. This approach offers a robust alternative to Fourier-based analysis, particularly in systems prone to nonlinearities during signal acquisition.…”
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  2. 4762

    Removal of anthracene from vehicle-wash wastewater through adsorption using eucalyptus wood waste-derived biochar by Muhammad Ilyas, Yuxuan Liao, Jiajun Xu, Siyu Wu, Wanying Liao, Xuelin Zhao

    Published 2024-01-01
    “…The experiment's findings showed that the Langmuir isotherm model provided the most accurate fit to the data. Also, error function analysis was performed. …”
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  3. 4763

    Features of water extracts sample preparation of solar panels components for biotesting by M. Semenova, A. Smirnov, I. Vezhenkova, T. Kustov, A. Kovalevskaya

    Published 2022-06-01
    “…The extraction times were chosen to be 1, 7, 21, 28, 42 and 56 days. Data analysis was carried out using two-way replicated analysis of variance implemented using MatLab® tools. …”
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  4. 4764

    Functioning in patients with major depression treated with duloxetine or a selective serotonin reuptake inhibitor in East Asia by Novick D, Montgomery W, Haro JM, Moneta MV, Zhu G, Yue L, Hong J, Duenas H, Brugnoli R

    Published 2016-02-01
    “…In addition, this study examined the impact of painful physical symptoms (PPS) on the effects of these treatments.Patients and methods: Data for this post hoc analysis were taken from a 6-month prospective observational study involving 1,549 patients with major depressive disorder without sexual dysfunction. …”
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  5. 4765

    Investigating The Performance Of Local And Indigenous Businesses In Times Of Economic Recession With Emphasis On Developing The Capabilities Of Cooperatives In Sistan And Baluchest... by Ali Asghar Tabavar, Abdoulnaser Derakhshan, Sahar Arefi

    Published 2024-12-01
    “…Then, by examining co-accumulation, the existence of a long-term relationship between the variables is tested, and by confirming the assumption of the existence of a long-term relationship between the variables, certain scientific results are extracted using the VECM model. Data analysis was done using EViews software. According to the findings of the vector error correction model (VECM), the Bland mat equation can be reported as follows.PERF = 10.11+0.047 CAP +0.516 INFL -1.237 DUMMYIn the long term, cooperatives can improve business performance by creating and collecting capital. …”
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  6. 4766

    ESTIMATION OF TENDENCIES IN THE HEIGHT OF THE SNOW COVERAT WEATHER STATIONS IN THE NORTHERN CAUCASUS by L. A. Kesheva

    Published 2022-07-01
    “…In this work, the assessment of trends in the height of snow cover at three meteorological stations in the North Caucasus, located in different climatic zones, is carried out. For the analysis, data from observations of snow cover for the period 1961- 2018 were used. …”
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  7. 4767

    An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

    Published 2025-06-01
    “…Discussion of Results & Conclusions  In this study, a neural network model was developed based on palaeogeography and evolutionary analysis of brachiopods in North America, and a back-propagation neural network model was created to estimate the location of the Rhynchotrema and Hiscobeccus specimens, based on a set of nine morphometric data (Nouri-Taleghani et al. 2015; Abdizadeh et al. 2017; Farzi et al. 2017) (Fig. 4). …”
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  8. 4768

    Improving the quality of theoretical training of cadets with the help of information and communication technologies by V. V. Bulgakov

    Published 2019-11-01
    “…Methods of synthesis and analysis of information processes, methods of statistical analysis were used to summarize the experimental data. …”
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  9. 4769
  10. 4770
  11. 4771

    Optimization of anti-MRSA compound production by Streptomyces sp. AR05 using an integrated RSM-ANN-GA approach by Fateh Merouane, Amani Kifadji, Racha Mansouri, Meroua Safa Mechouche, Chemes El-Houda Messaad, Anfal Bellebcir

    Published 2024-09-01
    “…These factors were optimized using Box-Behnken design, while RSM and ANN were utilized for modeling the experimental data. The predicted accuracy of ANN model was higher than that of the RSM model, with lower values of mean absolute percentage error (MAPE) and root mean square error (RMSE). …”
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  12. 4772

    Prediction of summer precipitation via machine learning with key climate variables:A case study in Xinjiang, China by Chenzhi Ma, Junqiang Yao, Yinxue Mo, Guixiang Zhou, Yan Xu, Xuemin He

    Published 2024-12-01
    “…For Northern and Southern XJ, the Mean Absolute Error and Root Mean Square Error of the ANN model were 15.34 (20.40) and 23.21 (30.01), respectively. …”
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  13. 4773

    Experimental Study on Pressure Drop Characteristic of Sing-phase and Two-phase Flow in Helical Cruciform Fuel Assembly by ZHANG Qi1, 2, , WANG Haoyu1, , ZHOU Yi1, HUANG Yongzhong1, ZHENG Lele1, LI Chenxi1, XIAO Yao2, GU Hanyang2

    Published 2024-12-01
    “…A new prediction model with a geometrical factor was proposed for the single-phase frictional factor of the helical cruciform fuel assembly, and the prediction error is less than 6.4%. The experimental data of two-phase flow were analyzed based on the separated flow model, which demonstrats the applicability to the typical rod bundle channel. …”
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  14. 4774

    Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution by Diego Guffanti, Moisés Filiberto Mora Murillo, Marco Alejandro Hinojosa, Santiago Bustamante Sanchez, Javier Oswaldo Obregón Gutiérrez, Nelson Gutiérrez, Miguel Sánchez

    Published 2025-06-01
    “…Both models were validated by comparing their predicted trajectories against real odometry data obtained from a SLAM system implemented on a differential-drive robot. …”
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  15. 4775

    Heart-rate and rating-of-perceived-exertion running-speed thresholds show acceptable test-retest reliability by Logan Sallas, Brandi Antonio, David H. Fukuda, Jeffrey R. Stout

    Published 2025-09-01
    “…Reliability statistics included ICC₂,₁, coefficient of variation (CV %), standard error of measurement (SEM), and minimum detectable change at 95% confidence (MDC₉₅).Results Twelve RS_HR and fourteen RS_RPE data sets met quality criteria. …”
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  16. 4776
  17. 4777

    Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path by Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante

    Published 2020-01-01
    “…The results obtained compared with the classic literature models (ITU-R 1546 and Okumura-Hata) in the city for distances up 20 km and over the river for distances up 5 km. A quantitative analysis is performed between the measured and predicted data through the Standard deviation (SD), Root Mean Square Error (RMSE), and the Grey Relational Grade, combined with the Mean Absolute Percentage Error (GRG-MAPE). …”
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  18. 4778

    Application of D-InSAR in monitoring the impacts of shaft grouting on surface and building deformations by Hui LIU, Rumeng LU, Lijuan SU, Shiguang CHENG, Pengfei ZHANG, Hua CHENG

    Published 2024-12-01
    “…[Results and Conclusions] The results indicate that compared to leveling measurements, the D-InSAR-based land subsidence monitoring yielded an average error of 1.70 mm and a maximum error of 2.70 mm. …”
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  19. 4779

    A clinical prediction model for blood pressure changes after renal denervation in patients with resistant hypertension by Yishuan Zhang, Ruiqing He, Chen Chen, Hong Zhang, Lingyan Li, Rongxue Xiao, Shuangyu Chen, Shuyi Wu, Zongjun Liu, Junqing Gao

    Published 2025-07-01
    “…In the prediction model on SBP change, compared to the OLS model, the Ridge regression exhibited lower prediction errors [mean absolute error [MAE]: 6.40 vs. 6.95; mean squared error [MSE]: 65.58 vs. 76.15] and a higher R² (0.79 vs. 0.72). …”
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  20. 4780

    Development and validation of a new predictive model for the immune tolerance stage of chronic HBV infection based on the liver histopathological changes by Wentao Li, Rui Huang, Jian Wang, Binhao Zhang, Qiupeng Wang, Jiang Feng, Tongjing Xing

    Published 2025-05-01
    “…Methods Clinical and liver pathology data from chronic hepatitis B (CHB) patients who underwent liver biopsy were retrospectively collected. …”
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