Comparison of the blood culture contamination rate between the control and bundle periods according to the evaluation method. by Miki Doi (15347878)

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A Wearable Dual-Modal Patch for Rapid Pre-Hospital Diagnosis of Acute Myocardial Infarction by Kuo Yang (280921)

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S1 Data - by Miki Doi (15347878)

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Maps of median projected λ_<i>S</i> (a) and <i>R</i>₀ (b) across 1st-level sub-national administrative regions in selected South American countries. by Keith Fraser (1868587)

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S1 Fig - by Miki Doi (15347878)

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Table of parameters. by Keith Fraser (1868587)

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Fig 7 - by Keith Fraser (1868587)

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Comparison of the proportion of each organism among contaminants between the control and bundle periods. by Miki Doi (15347878)

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Summary of ROM normalization results for surgical segments after different surgeries for specimens under six basic working conditions. by Jia Zhu (135506)

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Summary of ROM percentage for each segment in intact specimen. by Jia Zhu (135506)

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Design and machining schematic of the novel ZPC for the Chinese population. by Jia Zhu (135506)

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Raw data. by Jia Zhu (135506)

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Testing states of cadaveric specimens under different surgical conditions. by Jia Zhu (135506)

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Histogram of motion distribution of specimens after different surgical products under six basic working conditions. by Jia Zhu (135506)

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Stacked bar of motion distribution of intact specimen under different working conditions. by Jia Zhu (135506)

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Parameters of the newly designed ZPC for the Chinese population used in test. by Jia Zhu (135506)

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Initial preparation state diagram of the specimen experiment. by Jia Zhu (135506)

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MGPC module. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Comparative experiment. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”

Pruning experiment. by Bo Tong (2138632)

“…Experimental results indicate that at a pruning level of 1.5, mAP@0.5 and mAP@0.5:0.95 improved by 3.9% and 4.6%, respectively, while computational load decreased by 21% and parameter count dropped by 53%. …”