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1,842 results on '"ZHAO Yongsheng"'

51. Kinematics Analysis of a New Parallel Mechanism with Complete Separation of Constraints and Drives

Author

Qiu, Can, Wang, Yu, Wu, Jiabin, He, Xiaoyu, Ma, Xuejian, Xu, Yundou, Zhao, Yongsheng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Huayong, editor, Liu, Honghai, editor, Zou, Jun, editor, Yin, Zhouping, editor, Liu, Lianqing, editor, Yang, Geng, editor, Ouyang, Xiaoping, editor, and Wang, Zhiyong, editor

Published
2023
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52. Analysis of a Five-Degree-of-Freedom Hybrid Robot RPR/RP + RR + P

Author

Ma, Xuejian, Xu, Yundou, Wang, Yu, Yang, Fan, Zhao, Yongsheng, Yao, Jiantao, Zhou, Yulin, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, and Liu, Xinjun, editor

Published
2023
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62. Antisense oligodeoxynucleotides targeting ATM strengthen apoptosis of laryngeal squamous cell carcinoma grown in nude mice

Author

Zhao Yongsheng, Li Li, Zou Jian, Feng Jun, and Liu Shixi

Subjects
ATM, Antisense oligodeoxynucleotides, apoptosis, squamous cell carcinoma, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background To conserve laryngeal function and elevate living quality of laryngeal squamous cell carcinoma (LSCC) patients, we designed antisense oligodeoxynucleotides (AS-ODNs) to reduce expression of ATM and to enhance the apoptosis of hep-2 (Human epidermoid laryngeal carcinoma) cells to radiation in vitro and in vivo. Methods The expression of ATM mRNA and protein in hep-2 cells were examined by real-time quantitative PCR and western blotting respectively. Clonogenic survival assay was carried out to detect the survival ability of hep-2 cells after irradiation, and analyzed the cell apoptosis by flow cytometry. The volume of solid tumors was measured, while TUNEL assay and western blotting used to analyze cell apoptosis and protein expression after irradiation. Results The relative ATM mRNA and protein expression in hep-2 cells treated with ATM AS-ODNs were decreased to 11.03 ± 2.51% and 48.14 ± 5.53% of that in untreated cells respectively (P Conclusion AS-ODNs of ATM reduce ATM expression and enhance hep-2 cells apoptosis to radiation in vitro and in vivo.

Published
2011
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73. Pressure enhanced interplay among lattice, spin and charge in La2FeMnO6 mixed perovskite

Author

Li, Nana, Fan, Fengren, Sun, Fei, Wang, Yonggang, Zhao, Yongsheng, Liu, Fengliang, Zhang, Qian, Ikuta, Daijo, Xiao, Yuming, Chow, Paul, Heald, Steve M., Sun, Chengjun, Brewe, Dale, Li, Aiguo, Lü, Xujie, Mao, Ho-kwang, Khomskii, Daniel I., Wu, Hua, and Yang, Wenge

Subjects
Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Materials Science
Abstract

Spin crossover plays a central role in the structural instability, net magnetic moment modification, metallization, and even in superconductivity in corresponding materials. Most reports on the pressure-induced spin crossover with a large volume collapse so far focused on compounds with single transition metal. Here we report a comprehensive high-pressure investigation of a mixed Fe-Mn perovskite La2FeMnO6. Under pressure, the strong coupling between Fe and Mn leads to a combined valence/spin transition: Fe3+(S = 5/2) to Fe2+(S = 0) and Mn3+(S = 2) to Mn4+(S = 3/2), with an isostructural phase transition. The spin transitions of both Fe and Mn are offset by ~ 20 GPa of the onset pressure, and the lattice collapse occurs in between. Interestingly, Fe3+ ion shows an abnormal behavior when it reaches a lower valence state (Fe2+) accompanied by a + 0.5 eV energy shift in Fe K-absorption edge at 15 GPa. This process is associated with the charge-spin-orbital state transition from high spin Fe3+ to low spin Fe2+, caused by the significantly enhanced t2g-eg crystal field splitting in the compressed lattice under high pressure. Density Functional Theory calculations confirm the energy preference of the high-pressure state with charge redistribution accompanied by spin state transition of Fe ions. Moreover, La2FeMnO6 maintains semiconductor behaviors even when the pressure reached 144.5 GPa as evidenced by the electrical transport measurements, despite the huge resistivity decreasing 7 orders of magnitude compared with that at ambient pressure. The investigation carried out here demonstrates high flexibility of double perovskites and their good potentials for optimizing the functionality of these materials., Comment: Physical Review B in press

Published
2019
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93. Predicting the Toxicity of Ionic Liquids toward Acetylcholinesterase Enzymes Using Novel QSAR Models

Author

Zhu, Peng, Kang, Xuejing, Zhao, Yongsheng, Latif, Ullah, and Zhang, Hongzhong

Subjects
Medicinal and Biomolecular Chemistry, Chemical Sciences, Acetylcholinesterase, Animals, Cholinesterase Inhibitors, Humans, Inhibitory Concentration 50, Ionic Liquids, Linear Models, Machine Learning, Models, Biological, Quantitative Structure-Activity Relationship, acetylcholinesterase enzyme, extreme learning machine, ionic liquids, multiple linear regression, toxicity, Other Chemical Sciences, Genetics, Other Biological Sciences, Chemical Physics, Biochemistry and cell biology, Microbiology, Medicinal and biomolecular chemistry
Abstract

Limited information on the potential toxicity of ionic liquids (ILs) becomes the bottleneck that creates a barrier in their large-scale application. In this work, two quantitative structure-activity relationships (QSAR) models were used to evaluate the toxicity of ILs toward the acetylcholinesterase enzyme using multiple linear regression (MLR) and extreme learning machine (ELM) algorithms. The structures of 57 cations and 21 anions were optimized using quantum chemistry calculations. The electrostatic potential surface area (SEP) and the screening charge density distribution area (Sσ) descriptors were calculated and used for prediction of IL toxicity. Performance and predictive aptitude between MLR and ELM models were analyzed. Highest squared correlation coefficient (R2), and also lowest average absolute relative deviation (AARD%) and root-mean-square error (RMSE) were observed for training set, test set, and total set for the ELM model. These findings validated the superior performance of ELM over the MLR toxicity prediction model.

Published
2019

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