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| 1 | Proteomic Analysis of Macrophages:A Potential Way to Identify Novel Proteins Associated with Activation of Macrophages for Tumor Cell Killing显示文摘One major mechanism through which macrophages effectively kill tumor cells requires cell to cell contact,indicating that certain molecules expressed on cell surface of activated macrophages may mediate the tumoricidal capability. Tumor necrosis factor (TNF) and nitric oxide (NO) are the two classical mediators of tumor cell death. However,evidence of discrepancy is accumulating indicating these known mediators do not appear to account for the broad and potent tumoricidal activity of macrophages. To obtain a full repertoire of tumoricidal activation-associated membrane proteins,we combined one-dimensional SDS-PAGE with capillary liquid chromatography-tandem mass spectrometry (LC-MS/MS). Using this technique,we identified 454 activated macrophage specifically expressed proteins with extremely high confidence,including most known activation markers of macrophages,such as NO synthase (iNOS),Ym1,cyclooxygenase,etc. Membrane bound TNF-α was also identified on activated macrophages. However,it was also detected on thioglycolate elicited macrophages,indicating this molecule may not play a key role in conjugation-dependent tumor cell killing. In contrast,although NO has not been assigned as an effector molecule of conjugation-dependent tumoricidal pathway,iNOS was identified from membrane fraction of activated macrophages,suggesting NO may be involved in conjugation-dependent tumoricidal mechanism,because iNOS association with plasma membrane is ideally suited to deliver NO directly into the contacted tumor cells. This research provides not only new insights into macrophage conjugation-dependent tumoricidal mechanisms,but also a valuable data set of macrophage activation associated membrane proteins,thus providing better understanding of the functional mechanisms of macrophages in anti-tumor and other biological processes. | Lingbing Zhang Haoxuan Zhu Yanni Lun Dongmei Yan Leyang Yu Bairong Du Xun Zhu | 2007 | Cellular & Molecular Immunology2007，4，5： | 7 |
| 2 | Genetic Nelder-Mead neural network algorithm for fault parameter inversion using GPS data显示文摘The traditional genetic algorithm(GA)has unstable inversion results and is easy to fall into the local optimum when inverting fault parameters.Therefore,this article considers the combination of GA with other non-linear algorithms in order to improve the inversion precision of GA.This paper proposes a genetic Nelder-Mead neural network algorithm(GNMNNA).This algorithm uses a neural network algorithm(NNA)to optimize the global search ability of GA.At the same time,the simplex algorithm is used to optimize the local search capability of the GA.Through numerical examples,the stability of the inversion algorithm under different strategies is explored.The experimental results show that the proposed GNMNNA has stronger inversion stability and higher precision compared with the existing algorithms.The effectiveness of GNMNNA is verified by the BodrumeKos earthquake and Monte Cristo Range earthquake.The experimental results show that GNMNNA is superior to GA and NNA in both inversion precision and computational stability.Therefore,GNMNNA has greater application potential in complex earthquake environment. | Leyang Wang Ranran Xu Fengbin Yu | 2022 | Geodesy and Geodynamics2022，13，4： | 1 |
| 3 | Modeling and analysis of a dual-channel solar thermal storage wall system with phase change material in hot summer and cold winter area显示文摘A dual-channel solar thermal storage wall system with eutectic phase change material is studied.The full-day cooling load in summer and heating load in winter can be both decreased by this novel system.To investigate the airflow in the dual channel,mixed area assumptions based on the experimental results are summarized.Dynamic mathematical models of the system under four work modes are established and verified by the experimental results.The average RMSD(root mean square deviation)value is 0.35%in summer and 0.95% in winter.By analyzing the heat flux,the combination of dual channel and PCM is proven to decrease and delay cooling load both in the daytime and nighttime of summer.In winter's daytime,the thermal efficiency is promoted by the dual channel.And in winter’s nighttime,the system is able to heat the room constantly by the PCM boards.Based on parameter researches,the optimum phase change temperature range and the optimum thickness of the PCM are 26-30℃,1.5 cm in summer and 16-22℃,0.6 cm in winter respectively.To reach the optimum annual thermal performance,the coverage area is 2 m^(2) for this system. | Lijie Xu Chenglong Luo Jingyong Cai Jie Ji Leyang Dai Bendong Yu Shengjuan Huang | 2022 | Building Simulation2022，15，2： | 1 |
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