Adhesiveness changes across different IDDSI levels and food categories. by Muxi Chen (9294270)

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Statistical analysis of adhesiveness, hardness, and cohesiveness across IDDSI levels. by Muxi Chen (9294270)

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Comparison of hardness ranges for different food categories under IDDSI levels. by Muxi Chen (9294270)

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Raw_data_N_adition_increased_SOC_PNAS.xlsx by Guoyong Yan (14273351)

“…We found that SOC significantly increased with N addition, driven by the combined responses of plants, soil, and microbes. …”

Effect of Bcl-xL on proteins involved in the apoptotic pathway of MDCK cells. by Jiahao Zheng (807470)

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Effect of Bcl-xl on the tumorigenicity of MDCK cells in nude mice. by Jiahao Zheng (807470)

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Analysis and comparison of transcriptome data between WT and BY-02 cells. by Jiahao Zheng (807470)

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The targeting strategies, qRT-PCR, and western bolt to verify BY-02 cells. by Jiahao Zheng (807470)

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Differences in growth, metabolism and migration of BY-02 cells compared with WT cells. by Jiahao Zheng (807470)

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Transcriptome analysis. by Jiahao Zheng (807470)

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Superimposition of the cephalometric tracings obtained before and after treatment of case with premolar tooth extraction. by Lijuan Liu (136685)

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Superimposition of the cephalometric tracings obtained before and after treatment of case with mandibular third molar extraction. by Lijuan Liu (136685)

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Typical measurement parameters. by Lijuan Liu (136685)

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Cephalometric measurement points. by Lijuan Liu (136685)

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Posttreatment facial, intraoral photographs, and radiographs of the case with premolar tooth extraction. by Lijuan Liu (136685)

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Anonymized raw cephalometric data. by Lijuan Liu (136685)

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Posttreatment facial, intraoral photographs, and radiographs of the case with mandibular third molar extraction. by Lijuan Liu (136685)

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Comparison of pretreatment cephalometric variables between premolar extraction and mandibular third molar extraction groups. by Lijuan Liu (136685)

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Demographic characteristics of study participants. by Lijuan Liu (136685)

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Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

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