The optimized parameters of the proposed GPR method. by Fahd Saeed Alakbari (10701871)

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The optimized GPR approach’s error histogram of the validation dataset. by Fahd Saeed Alakbari (10701871)

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Changes in mental health symptoms after the sleep intervention (n = 160 completers). by Anton Kurapov (11346019)

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Group error analysis of compressional time for the proposed GPR and some previous approaches. by Fahd Saeed Alakbari (10701871)

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

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Nonlinear relationship between UACR and cognitive impairment. by Yubo Teng (21246745)

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Distribution of quality of life and respiratory variables scores of all 3 visits (visit = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group... by Nattapon Riengvirodkij (11268720)

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The baseline characteristics of classifications and body condition score of the 2 groups (frequencies) at entry (visit 1, day 0). by Nattapon Riengvirodkij (11268720)

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Trend analysis of the ν_s – RHOB in the range of data found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

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The comparison of ν_s – DTc trends models with experimental measured values for RHOB = 2.02 g/cc and DTs =  265.03 us/ft. by Fahd Saeed Alakbari (10701871)

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Threshold effect analysis of UACR and cognitive impairment. by Yubo Teng (21246745)

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Analyzing the relationship between UACR (<30) and cognitive scores and impairment. by Yubo Teng (21246745)

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Analyzing the relationship between UACR and cognitive scores and impairment. by Yubo Teng (21246745)

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The comparison of ν_s – RHOB trends models with experimental measurements. by Fahd Saeed Alakbari (10701871)

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The comparison of ν_s – DTs trends models with experimental measured values for RHOB = 2.33 g/cc and DTc = 118.67 us/ft. by Fahd Saeed Alakbari (10701871)

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Distribution of continuous variables of all 3 visits (visit 1 = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as mea... by Nattapon Riengvirodkij (11268720)

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The optimized GPR approach’s cross-plotting for the training dataset. 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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Trend analysis of the ν_s – DTc in the range found in the dataset used for the optimized GPR. 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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