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The Science of the Total Environment|January 11, 2021
Relative contributions of different substrates to soil N2O emission and their responses to N addition in a temperate forestBo Peng, Jianfei Sun, Jun Liu, et al.
Journal of Cardiac Surgery|November 29, 2019
Systemic-to-pulmonary shunt vs right ventricle to pulmonary artery connection in the treatment of pulmonary atresia, ventricular septal defect, and major aortopulmonary collateral arteriesFan Fan, Bo Peng, Zhimin Liu, et al.
IEEE Transactions on Cybernetics|November 25, 2020
Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault DiagnosisBo Peng, Shuting Wan, Ying Bi, et al.
Biomedicine & Pharmacotherapy = Biomedecine & Pharmacotherapie|December 16, 2018
MiR-148a suppressed cell invasion and migration via targeting WNT10b and modulating β-catenin signaling in cisplatin-resistant colorectal cancer cellsLei Shi, Juanli Xi, Ximing Xu, et al.
Metabolic Engineering|August 8, 2016
Mutation of a regulator Ask10p improves xylose isomerase activity through up-regulation of molecular chaperones in Saccharomyces cerevisiaeJin Hou, Chunlei Jiao, Bo Peng, et al.
Chemosphere|August 15, 2021
Photochemical (UV-vis/H2O2) degradation of carotenoids: Kinetics and molecular end productsSofia Semitsoglou-Tsiapou, Travis B Meador, Bo Peng, et al.
Frontiers in Medicine|August 26, 2022
Corrigendum: Prediction model of immunosuppressive medication non-adherence for renal transplant patients based on machine learning technologyXiao Zhu, Bo Peng, QiFeng Yi, et al.
Brain Research. Brain Research Protocols|February 22, 2005
Detection of degeneration in rat sciatic nerve by in vivo near infrared spectroscopyArun Kumar Senapati, Harsha Radhakrishnan, Hanli Liu, et al.
Experimental and Therapeutic Medicine|July 2, 2019
Oncogenic role of long non-coding RNA SNHG12 in gastric cancer cells by targeting miR-16Guodong Zhao, Suineng Wang, Xianwen Liang, et al.
Frontiers in Medicine|March 7, 2022
Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning TechnologyXiao Zhu, Bo Peng, QiFeng Yi, et al.
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