ΔVO₂ (ml/min), ΔVO₂/HR and ΔVE/VCO₂ slope baseline and post CRT+MRT, CRT and RUHB. by Sergio R. Thomaz (20308465)

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Clinical characteristics of the study population. by Sergio R. Thomaz (20308465)

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Example of sample data. by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Structure of BPNN. by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

S1 Data - by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Impact of red blood cell-platelet ratio trajectories in the first four days before ICU admission on prognosis and clinical outcomes in the validation set. by Jie Zhao (49409)

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Impact of red blood cell-platelet ratio trajectories on prognosis and clinical outcomes in the first four days before ICU admission in the training set. by Jie Zhao (49409)

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Effects of letrozole and high-fat diet induction on body weight, ovarian weight, serum hormone levels, estrous cycle, and ovarian morphology. by Haoxuan Xue (19949764)

The properties of dental materials: Purpose of usage, manufacturer, composition, setting type and setting time. by Meltem Karahan (19713246)

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Association between platelet count and height loss by hypertension status. by Yuji Shimizu (174369)

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Demographic and Clinical Characteristics of Children Exposed or Not Exposed to the Fear Self-Assessment Tool (Trouillomètre®). by Myriam Aïche (22290591)

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Characteristics of the study population by platelet count quartile. by Yuji Shimizu (174369)

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Dose-dependent effect of dental materials on hatching rate of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

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Flow chart. by Myriam Aïche (22290591)

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Dose-dependent effect of dental materials on the survival of zebrafish embryos and larvae at the indicated time points. by Meltem Karahan (19713246)

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Characteristics of the study participants by hypertension status. by Yuji Shimizu (174369)

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Determination of Cleaved Caspase-3 positive cells in MTA and Harvard treated groups. by Meltem Karahan (19713246)

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