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Macrophages-Based Immunotherapy for the Brain Diseases

神经药理学报 2019年第Z1期 13-14页

作者： ZHANG Zi-jian So Yoon Lee Cara Orji daewoo hong Jamil Espinal Anthony Bastian DOU Huan-yu Department of Molecular and Translational Medicine Paul L.Foster School of Medicine Graduate School of Biomedical Sciences Texas Tech University Health Sciences Center

The fundamental difficulties of immunotherapy for the brain diseases are delivery of therapeutic molecules to cross the blood-brain barrier(BBB),to transfect non-dividing neurons and macrophages,and to edit gene in and/or out in the diseased tissues. Regulation of immune responses is particular important in immunotherapy in brain cancer,stroke,traumatic brain injury,and brain infections. Immunotherapy appears to have significant therapeutic potential for the treatment of neurological conditions by regulation of immune responses to prevent irreversible destructive mechanisms. The systemic and brain immune responses to treatment closely contributed to long-term therapeutic efficacy. We have been developed three platforms by targeting macrophages. First,manipulating macrophages to "turn off" neuropathologyical signals and to "turn on" therapeutic immune responses. This immunoswitch allows to develop the effective immunotherapies for the brain diseases. Second,we used a targeting peptide,rabies virus glycoprotein(RVG),to bind core-shell nanoparticles(RVG-NPs) for dual targeting the brain and macrophages. RVG-NPs enhanced trans-BBB and favored to macrophages and microglia. Using NPs to deliver plasmid DNA(pDNA) into macrophages,we obtained the higher transfection efficiency. The pDNA-NPs showed to effectively edit foreign gene in and delete target gene out. Moreover,macrophage is cellular immune regulator that target to the brain diseased site treatment of brain diseases. Thus,macrophages based immunotherapy is a promising strategy in neurological ailments.

关键词： Macrophages-Based Immunotherapy for the Brain Diseases BBB

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Predicting the Rainfall-Triggered Landslides in a Forested Mountain Region Using TRIGRS Model

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Journal of Mountain Science 2010年第1期7卷 83-91页

作者： Dongyeob KIM Sangjun IM Sang Ho LEE Youngjoo hong Kyung-Sub CHA Dept. of Forest Sciences Seoul National University Dept. of Forest Sciences Research Institute for Agriculture & life sciences Seoul National University Civil Engineering Team DaeWoo E&C Suwon 440-210 Korea

Landslides are natural disasters which can pose a serious threat to human and property in many areas around the world. The Transient Rainfall Infiltration and Grid-based Regional Slope-stability (TRIGRS) model was used to investigate the rainfall-induced shallow landslides in a forested mountain region, Korea. Various input data for TRIGRS model include time-varying rainfall, topographic characteristics, soil depth, material strength, and hydraulic properties. A series of calculations were conducted in determining the slope stability over the Jangheung region in Korea during the storm occurred on August 6, 1998. The results show that TRIGRS model captured about 64.1% of landslides that were extracted from the IKONOS2 imageries. The model demonstrated how the factor of safety changed with time during a storm considering both the transient and spatial responses of pore water pressure in its slope stability calculation.

关键词： TRIGRS landslides IKONOS2 safetyfactor slope stability Korea

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基于响应面优化的客车后高地板骨架设计

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机械设计与研究 2022年第1期38卷 161-167页

作者：韦韬李明黄洪龙云泽刘晓刚桂林航天工业学院汽车与交通工程学院广西桂林541004 中国公路车辆机械总公司北京100073 桂林大宇客车有限公司广西桂林541000

在进行车身轻量化设计时可能会降低车身刚度,造成固有频率下降,车身在外部激励下容易产生共振。基于有限元法建立客车车身后高地板骨架总成模型,通过对模型的模态分析确定轻量化设计的可行性;随后建立优化模型并对构成零件的外廓尺寸和... 详细信息

在进行车身轻量化设计时可能会降低车身刚度,造成固有频率下降,车身在外部激励下容易产生共振。基于有限元法建立客车车身后高地板骨架总成模型,通过对模型的模态分析确定轻量化设计的可行性;随后建立优化模型并对构成零件的外廓尺寸和厚度进行参数化设置。在对模型进行优化之前,先通过敏感性分析剔除与优化目标相关性弱的参数,再用克里金法生成拟合优度满足要求的响应面模型,最后通过遗传算法寻优并生成3个候选点,参考候选点参数并结合生产实际对原模型参数进行调整,优化后的高地板骨架减重比例达16%。采集实车后高地板骨架在发动机全转速功率段的振动信号,信号的时域和频域分析结果表明,设计优化后的车辆后部振动特性正常,乘客的乘坐舒适性满足要求。

关键词：客车高地板骨架响应面优化遗传算法频谱分析

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