Signal strength of reports of finasteride administration at the preferred term level in the FAERS database. by Xiaoling Zhong (181270)

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Four major algorithms used for signal detection. by Xiaoling Zhong (181270)

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Time to onset of AEs in male and female patients receiving finasteride therapy. by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration at the SOC level. by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration at the SOC level by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration in female at the PT level. by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration in male at the PT level. by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration at the PT level (age = 18-65). by Xiaoling Zhong (181270)

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Signal strength of reports of finasteride administration at the PT level (age>=65). by Xiaoling Zhong (181270)

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Clinical characteristics of reports with finasteride as the primary suspected drug from the FAERS database. by Xiaoling Zhong (181270)

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Sex-differentiated risk signal volcano plot for finasteride. by Xiaoling Zhong (181270)

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Number of adverse reaction case reports of finasteride administration at the PT level. by Xiaoling Zhong (181270)

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Patients’ responses to EQ5-D items. by Walid Al-Qerem (3760027)

“…Findings from regression analysis indicated as patients’ age increased, their quality of life scores significantly decreased (-0.004, 95%CI (-0.006, -0.001), p = 0.002). …”

Effect of ibuprofen (IBU) on carbonic anhydrase IX (CA IX) expression. by Katarina Grossmannova (7543517)

“…P < 0.05 was considered significant. * denotes P < 0.05, **P < 0.01, *** P < 0.001, and **** P < 0.0001, respectively. …”

Changes of MDA content in DlERF10 overexpressed tobacco and wild-type tobacco under low-temperature stress. by Ruijin Zhou (15918112)

The effects of ERK mutants on PRV replication. by Lucai Wang (22050158)

Model parameter indicators. by Hongwei Bai (1447999)

“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”

Accuracy and loss values of each model. by Hongwei Bai (1447999)

“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”

Classification of bearing data labels. by Hongwei Bai (1447999)

“…The global max-pooling layer replaces the fully connected layer, reducing the number of parameters, improving computational efficiency, and lowering the risk of overfitting. Experimental results demonstrate that the proposed model achieves superior performance in fault diagnosis, attaining an accuracy of 99.62%, significantly outperforming traditional CNNs and other benchmark methods.…”

NMN attenuates neuronal injury after cardiac arrest in mice. by Daiki Kaito (12514087)