The optimized GPR approach’s cross-plotting for the validation dataset. by Fahd Saeed Alakbari (10701871)

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(a) Average absolute percentage relative error (AAPRE), and, (b) Coefficient of determination (R²) of the models. by Fahd Saeed Alakbari (10701871)

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(a) Taylor diagrams of Khandelwal et al. [13], Brabdas et al, Kumar et al. [12] models. (b) Taylor diagrams of Ranjbar-Karami et al. [14], Christaras et al. [52], Feng et al. [16],... by Fahd Saeed Alakbari (10701871)

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(a, b). The statistical error analyses for the models using the same dataset. by Fahd Saeed Alakbari (10701871)

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The optimized GPR approach’s cross-plotting for the training dataset. by Fahd Saeed Alakbari (10701871)

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Methodology flowchart. by Fahd Saeed Alakbari (10701871)

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The most common machine learning methods to predict ν_s. by Fahd Saeed Alakbari (10701871)

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Statistical error analyses of the proposed or optimized GPR model. by Fahd Saeed Alakbari (10701871)

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Fracture pressure based on proposed GPR Poisson’s ratio model. by Fahd Saeed Alakbari (10701871)

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Comparison of ν_s measured and predicted estimates of the optimized GPR approach for (a) training, (b) validation, and (c) testing datasets. by Fahd Saeed Alakbari (10701871)

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Map of Zimbabwe highlighting the districts detected as persistent hotspots of <i>S. haematobium</i> prevalence (PPHS), persistent hotspots of decreased praziquantel efficacy (EPHS)... by Takafira Mduluza (39754)

A) RT-qPCR analysis of <i>Yap</i>, <i>Taz</i>, and <i>Tead2</i> shows a significant decrease in transcript levels over postnatal stages from P0 to P28. by Heather L. Dingwall (14573796)

Diallyl Trisulfide, an Active Substance from Garlic, Inhibits Female Oviposition by Decreasing the Expression of the <i>OCT</i> Gene, which is Highly Expressed in the Spermathecal... by Wen-Han Yan (20539256)

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Diallyl Trisulfide, an Active Substance from Garlic, Inhibits Female Oviposition by Decreasing the Expression of the <i>OCT</i> Gene, which is Highly Expressed in the Spermathecal... by Wen-Han Yan (20539256)

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Characteristics of HACE respondents by year. by David Henderson (4612354)

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Clinical diagnosis and abnormal signals of AEFIs(/10,000). by Chao Zhang (51048)

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Changes in reported rate of AEFIs in the pre-LAW and post-LAW period(/10000). by Chao Zhang (51048)

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Data. by Chao Zhang (51048)

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Characteristics of AEFIs with JEV-L vaccine in the pre-LAW and post-LAW period. by Chao Zhang (51048)

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Reporting rate of AEFI of JEV-L in Huzhou, Zhejiang province, 2014–2023 (/10,000). by Chao Zhang (51048)

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