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  1. 1101

    Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

    Published 2025-06-01
    “…The hybrid model achieved metrics of RMSE 0.55, MAPE 4.61%, and correlation coefficient 0.94, showcasing its exceptional accuracy. …”
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    Article
  2. 1102

    Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review by Eliezer Zahid Gill, Daniela Cardone, Alessia Amelio

    Published 2024-12-01
    “…These tools are assessed for their ability to predict air pollutant levels, improve concrete quality, and monitor worker safety in real time. …”
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    Article
  3. 1103

    A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

    Published 2025-09-01
    “…Then, the Maximum Information Coefficient (MIC) quantifies the nonlinear relationship between environmental factors and ratio errors, reducing redundant features. …”
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    Article
  4. 1104

    Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

    Published 2024-12-01
    “…The results demonstrate marked improvements across several performance metrics, including Dice similarity, mean squared error (MSE), peak signal-to-noise ratio (PSNR), and the Tanimoto coefficient (TC), underscoring this method’s robustness and segmentation accuracy. …”
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    Article
  5. 1105

    Advertisement and Sales Performance in Mtn Uganda, Kabale Branch. by Mwebesa, Acleo

    Published 2023
    “…Descriptive statistics included the use of frequencies and percentages to analyze biodata, while inferential statistics included the use of mean and standard deviations to test individual responses; as well as the Pearson correlation coefficient (r) to test the relationship between advertisement and sales performance of the MTN Uganda Kabale branch. …”
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    Thesis
  6. 1106
  7. 1107

    Variation analysis of fruit traits of jujube seedlings and screening of excellent germplasm by JI Yinzhong, CHEN Youfu, YAN Fenfen, WANG Jiurui, LIU Mengjun

    Published 2025-07-01
    “…The average single fruit weight and fruit diameter of Dongzao were both higher than those of the Yuhong population, indicating that Dongzao has a greater potential for selecting large fruit. The coefficient of variation for intrinsic quality traits ranged from 7.51% to 64.72%. …”
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    Article
  8. 1108

    Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

    Published 2025-01-01
    “…However, in the long-term deflection prediction, the DWT-LSTM-based bridge deflection separation model achieved the highest accuracy and strongest generalization ability, with correlation coefficients of 0.86 and 0.77, root mean square errors (RMSE) of 2.18 mm and 2.20 mm, and mean absolute errors (MAE) of 2.05 mm and 1.91 mm. …”
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    Article
  9. 1109

    The Effect of Serish Root Gum (Eremurus luteus) as Fat Replacer on Rheological, Physical and Sensory Properties of Low Fat Ice Cream by Fatemeh Sabzmeidani, Masoud Taghizadeh, Mohammad Saleh Hemati Hasan Poor

    Published 2025-05-01
    “…The results showed that these variables have the ability to simulate rheological properties (apparent viscosity, consistency coefficient, yield stress and plastic viscosity), melting speed and sensory characteristics such as creaminess, roughness, cryogenicity, viscosity, hardness and overall acceptance of the control sample  with high fat as effective factors on the texture production process and the mouthfeel of the product in low-fat ice creams. …”
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    Article
  10. 1110

    Polish validation of soft skills questionnaire for nurses by Katarzyna Tomaszewska, Krystyna Kowalczuk, Marek Sobolewski, Bożena Majchrowicz

    Published 2025-07-01
    “…Furthermore, Spearman's rank correlation coefficients between the two administrations were exceptionally high (rs > 0.90), and test-retest reliability, as assessed by the intraclass correlation coefficient (ICC), also exceeded 0.90 across all subscales. …”
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    Article
  11. 1111

    Preoperative inflammatory markers and tumor markers in predicting lymphatic metastasis and postoperative complications in colorectal cancer: a retrospective study by Huiming Wu, Yize Wang, Min Deng, Zhensheng Zhai, Dingwen Xue, Fei Luo, Huiyu Li

    Published 2025-02-01
    “…The calibration curve indicated high prediction accuracy, with a ROC curve AUC of 0.729, demonstrating excellent discriminatory ability, and the DCA decision curve showed good clinical applicability. …”
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    Article
  12. 1112

    The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

    Published 2019-03-01
    “…Obtained results show that prediction of bed load transport with the median diameters of sediment particles (D50) ranging from 1 to 1.4 mm led to significant outcomes of NSE= 0.952, as well as flow condition in the intervals of 0.65 and 0.75 of Froude number generate better predictive ability with NSE= 0.925. Besides, it is found that hydraulic conditions govern the rivers flow in specific intervals of Shear Reynolds number and bed slope of channel led to better predictive ability of bed load transport rate in gravel-bed rivers. …”
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    Article
  13. 1113

    Genetic effects in callose content in root apex of inbred resistant and susceptible corn lines to acid soils Efectos genéticos de la formación de calosa en ápices radicales de líne... by Arcos Alba Lucía, Narro Luis Alberto, Caetano Creuci Maria, Salazar Fredy Alberto

    Published 2007-12-01
    “…Heterosis varied from –21.2% to 276.3%. General combining ability (GCA) and specific combining ability (SCA) were highly significant indicating that both, additive and non–additive gene effects were important for callose inheritance. …”
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    Article
  14. 1114

    Study on Road Performance and Ice-Breaking Effect of Rubber Polyurethane Gel Mixture by Yuanzhao Chen, Zhenxia Li, Tengteng Guo, Chenze Fang, Jingyu Yang, Peng Guo, Chaohui Wang, Bing Bai, Weiguang Zhang, Deqing Tang, Jiajie Feng

    Published 2025-06-01
    “…RPGM shows better de-icing performance than traditional asphalt mixtures, and with an increase in rubber particle content, the ice-breaking ability is effectively improved. When the thickness of the ice layer exceeds 9 mm, the ice-breaking ability of the mixture is significantly weakened. …”
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    Article
  15. 1115

    Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder by Muzher Saleem, Ghada A. Khouqeer, Fazal Haq, Naglaa AbdelAll, Arshad Hussain, Mohammed Sallah

    Published 2025-09-01
    “…THNFs offer significant advantages in enhanced heat transfer, stability, and customizable properties. Their ability to improve efficiency and reduce energy consumption makes them a valuable option for various industrial and technological applications. …”
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    Article
  16. 1116

    Comparative analysis of digital mammography and contrast-enhanced mammography in diagnosing suspicious breast calcifications: implications for surgical decision-making by Marwa Mohamed Taher Mohamed ElSayad, Maha Hussein Mohamed Helal, Omar Hussein Omar, Ahmed Gamal Eldeen Othman, Marwa Elsayed Abdelrahman Ibrahim

    Published 2025-08-01
    “…While Digital Mammography (DM) remains the gold standard for detecting breast microcalcifications, its ability to differentiate between benign and malignant types based solely on morphology and distribution is limited. …”
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    Article
  17. 1117

    Association Between Irisin Level and Cognitive Function: A Systematic Review and Meta‐Analysis by Chengyan Han, Zining Zhou, Linlin Kong, Jing Lu, Xinyun Li

    Published 2025-07-01
    “…Secondary outcomes were the correlation between irisin level and each cognitive domain, the correlation between brain‐derived neurotrophic factor (BDNF) level and global cognition, and the correlation between irisin level and BDNF level. Correlation coefficient (r) was used as effect size with its 95% confidence intervals (CI). …”
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    Article
  18. 1118

    Value of multi-modal MRI in predicting the effect of high-intensity focused ultrasound for uterine fibroids by Si-Qi Tao, Li-Ye Shi, Xiao-Shan Chai, Xiao-Rui Yuan, Shi-Xiong Tang, Jun Zhang, Du-Jun Bian, Chun Fu

    Published 2025-12-01
    “…In addition, we assessed and verified the performance of the model.Results Hyperintense on T2 weighted imaging (T2WI), large apparent diffusion coefficient (ADC) values derived from DWI, and high perfusion index derived from ASL were associated with a poor HIFU effect. …”
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    Article
  19. 1119

    A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

    Published 2025-05-01
    “…On the test set, the SVR model achieved a coefficient of determination (R<sup>2</sup>) of 0.9941 and an RMSE of 0.6988 μmol m<sup>−2</sup> s<sup>−1</sup> (relative to the full Pn range of −4.19 to 39.2 μmol m<sup>−2</sup> s<sup>−1</sup>). …”
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    Article
  20. 1120

    Validation of the Persian version of the summary of diabetes self-care activities scale (SDSCA) in pregnant women with gestational diabetes mellitus using a COSMIN methodology by Mahsa Maghalian, Mohammad Asghari Jafarabadi, Fatemeh Abbasalizadeh, Sakineh Mohammad-Alizadeh-Charandabi, Solmaz Ghanbari-Homaie, Mojgan Mirghafourvand

    Published 2025-04-01
    “…The reliability analysis showed a Cronbach’s alpha of 0.78 and a McDonald’s omega of 0.91, with an intraclass correlation coefficient (ICC) of 0.92 (95% CI: 0.83–0.96). Ceiling effects were observed for blood sugar testing (26.7%), while floor effects were noted for exercise (6.7%) and blood sugar testing (6.1%). …”
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