Organisms causing bacterial culture contamination and the contamination rate for each organism during the study period. by Miki Doi (15347878)

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Swab cultures around the hole of a needle-removing device. by Miki Doi (15347878)

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Comparison of the contaminant isolation rate between the control and bundle periods in August and September and in the remaining 10 months. by Miki Doi (15347878)

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Fig 6 - by Keith Fraser (1868587)

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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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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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Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …”