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赤泥是氧化铝生产过程中排放的强碱性固体废物,尤其对于三水铝石矿低温拜耳法产生的赤泥,其中含有大量的Al2O3未被溶出,造成资源的极大浪费。以低温拜耳法赤泥为原料,通过高温溶出回收其中的Al2O3,系统研究了石灰添加量、循环母液苛碱浓度、溶出温度、固含、溶出时间对Al2O3溶出性能的影响规律,获得了溶出过程中物相转变机理和溶出动力学。结果表明:低温拜耳法赤泥高温溶出过程中,Al2O3溶出率随苛碱浓度、溶出温度、时间的增加而增加,随着石灰添加量和固含的增加而降低。推荐Al2O3的溶出条件为:固含500 g/L、苛碱浓度210 g/L、溶出温度270℃、溶出时间60 min、溶出过程不添加石灰,在此条件下Al2O3溶出率为50.36%,溶出液硅量指数为260。Al2O3溶出过程受内扩散控制... 相似文献
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工程应用中,平面微弹簧存在弹性系数的非线性现象且难以被忽略,弹簧结构的几何非线性是引起这种现象的主要原因。针对特定形状的弹簧运用Ansys软件进行了非线性有限元静力学仿真,计算出弹簧弹性力F与弹性形变x之间的对应关系,并与采用MEMS微细加工技术制得弹簧样品实测实验结果比较,相对误差低于3.2%,验证了分析模型的可靠性。而后设计了5种不同平面形状的微弹簧,仿真计算它们的力学性能曲线,以及改变弹簧臂宽度厚度后的力学性能曲线,分别进行比较以讨论影响非线性的主要因素,为弹簧的设计工作提供参考依据。 相似文献
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Chuanhuang Li Yan Wu Xiaoyong Yuan Zhengjun Sun Weiming Wang Xiaolin Li Liang Gong 《International Journal of Communication Systems》2018,31(5)
Distributed denial of service (DDoS) is a special form of denial of service attack. In this paper, a DDoS detection model and defense system based on deep learning in Software‐Defined Network (SDN) environment are introduced. The model can learn patterns from sequences of network traffic and trace network attack activities in a historical manner. By using the defense system based on the model, the DDoS attack traffic can be effectively cleaned in Software‐Defined Network. The experimental results demonstrate the much better performance of our model compared with conventional machine learning ways. It also reduces the degree of dependence on environment, simplifies the real‐time update of detection system, and decreases the difficulty of upgrading or changing detection strategy. 相似文献
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WANG Xiaolin ZENG Guangzhou XU Xinshun 《电子学报:英文版》2014,(1):1-5
The mobile agent is a computer program that is able to migrate continuously among hosts in a net- work and use host service to meet its task. The host, known as workplace, can be regarded as a proxy of social member. The sequence of workplaces on which the mobile agent completed its tasks is called path. In this paper, we propose a dynamic building method of mobile agent path with minimum payment based on referral. By referral, the next workplace of mobile agent can be recommended by the current workplace provider based on his acquaintance knowledge. The simulation results on a random network model show that the more acquaintance relationships there are on the referral network, the more efficiently the mo- bile agent path can be built, and the fewer costs need to be paid on the path. 相似文献
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Peng Liu Xinyue Wang Qian Yang Xiaolin Yan Yu Fan Si Zhang Yi Wei Min Huang Lingyan Jiang Lu Feng 《International journal of molecular sciences》2022,23(12)
Escherichia coli K1 is a leading cause of neonatal bacterial meningitis. Recruitment of neutrophils to the central nervous system (CNS) via local immune response plays a critical role in defense against E. coli K1 infection; however, the mechanism underlying this recruitment remains unclear. In this study, we report that microglia and astrocytes are activated in response to stimulation by E. coli K1 and/or E. coli K1-derived outer membrane vesicles (OMVs) and work collaboratively to drive neutrophil recruitment to the CNS. Microglial activation results in the release of the pro-inflammatory cytokine TNF-α, which activates astrocytes, resulting in the production of CXCL1, a chemokine critical for recruiting neutrophils. Mice lacking either microglia or TNF-α exhibit impaired production of CXCL1, impaired neutrophil recruitment, and an increased CNS bacterial burden. C-X-C chemokine receptor 2 (CXCR2)-expressing neutrophils primarily respond to CXCL1 released by astrocytes. This study provides further insights into how immune responses drive neutrophil recruitment to the brain to combat E. coli K1 infection. In addition, we show that direct recognition of E. coli K1 by microglia is prevented by the K1 capsule. This study also reveals that OMVs are sufficient to induce microglial activation. 相似文献