Effect of Ce(3+) on soluble microbial products production in anaerobic granular sludge digestion

Upflow anaerobic sludge bed reactors fed on glucose were used to investigate the effects of Ce(3+) on soluble microbial products (SMP) production, which is the majority of the residual chemical oxygen demand present in the effluent. It was found that Ce(3+) concentration of 0.05 mg/L had no significant effect on the amount of SMP production, whereas that of 1 mg/L led to the increase in SMP production. The molecular-weight distribution and carbohydrate analysis indicated that an increase in SMP production may be partly attributed to the release of extracellular polymeric substances (EPS) into the bulk solution resulted from cerium toxicity, and the nucleic acids analysis suggested that increased cell lysis also contributed to SMP accumulation in the presence of Ce(3+). The increase in SMP production in the presence of Ce(3+) is possibly a consequence of the release of EPS and increased cell lysis due to cerium toxicity.     

杭州市清泰水厂膜处理自控系统方案比选

结合杭州市清泰水厂净水技术改造工程,介绍了膜处理自控系统的特点和要求,就三个膜处理自控系统方案进行了分析和总结。通过对比,选用了方案三,该方案实现了每一膜组的冗余热备控制,较好地达到了设计要求,可靠性高。     

国有企业计算机网络管理

本论文在简单了解了计算机网络的相关内容后,对国有企业的计算机网络进行了简单的介绍,并举例说明了某国有企业的网络管理结构及功能。     

P2P流媒体点播系统中的缓存管理方案的研究和实现

视频点播系统的缓存管理对系统的性能有重要的影响.回顾了现有的缓存策略,分析了P2P网络和传统中心服务器网络缓存策略的不同,然后提出一种适应P2P流媒体点播系统的缓存管理算法.给出了新型的算法描述,并构建原型系统进行性能对比测试.测试结果表明系统骨干节点的资源利用率和普通节点节目的播放质量和流畅性都得到了提高,证实了算法在P2P点播系统中的可行性和有效性.     

蚁群算法及其在路由优化中的应用综述

蚁群算法(ACO)是一类新型的机器学习技术,根据蚁群算法的正反馈原理和启发式原理的特点,针对目前国内国际的研究情况,对蚁群算法在最优路径的搜寻上从收敛性,收敛算法的改进以及收敛速度等方面的研究分别进行了分析综述,并对蚁群算法的一些应用,如:LEO卫星网络和无线传感等方面进行了阐述.对蚁群算法在路由优化和负载平衡上的研究进行了对比分析,发现了它们存在的不足,指出了在该领域需要进一步研究的热点问题.     

Logistic混沌网络会议加密系统的设计

文章采用Logistic混沌序列对实时视频传输系统进行数据的分块加／解密,并从算法的安全性、效率等方面进行了性能分析,该算法具有良好的实时性、快速性和易实施性,可以有效地防止敏感信息被轻易的窃取、篡改和传播,有效保障网络视频传输的流畅性及安全性。     

决策支持系统在跨部门电子政务工程中的实现

决策支持系统合理应用到跨部门电子政务工程中不但可以降低大量的人力和财力成本,还会为电子政务中半结构化或非结构化问题提供重要的决策支持。文章提供了一种跨部门电子政务工程中决策支持系统技术架构的设计,为决策支持系统在跨部门电子政务工程中的实现提供了一种方法。     

Macrophage Membrane-Coated Nanoparticles Sensitize Glioblastoma to Radiation by Suppressing Proneural–Mesenchymal Transformation in Glioma Stem Cells

Radiotherapy is identified as a crucial treatment for patients with glioblastoma, but recurrence is inevitable. The efficacy of radiotherapy is severely hampered partially due to the tumor evolution. Growing evidence suggests that proneural glioma stem cells can acquire mesenchymal features coupled with increased radioresistance. Thus, a better understanding of mechanisms underlying tumor subclonal evolution may develop new strategies. Herein, data highlighting a positive correlation between the accumulation of macrophage in the glioblastoma microenvironment after irradiation and mesenchymal transdifferentiation in glioblastoma are presented. Mechanistically, elevated production of inflammatory cytokines released by macrophages promotes mesenchymal transition in an NF-κB-dependent manner. Hence, rationally designed macrophage membrane-coated porous mesoporous silica nanoparticles (MMNs) in which therapeutic anti-NF-κB peptides are loaded for enhancing radiotherapy of glioblastoma are constructed. The combination of MMNs and fractionated irradiation results in the blockage of tumor evolution and therapy resistance in glioblastoma-bearing mice. Intriguingly, the macrophage invasion across the blood-brain barrier is inhibited competitively by MMNs, suggesting that these nanoparticles can fundamentally halt the evolution of radioresistant clones. Taken together, the biomimetic MMNs represent a promising strategy that prevents mesenchymal transition and improves therapeutic response to irradiation as well as overall survival in patients with glioblastoma.     

Decomposed-distance weighted optimal transport for unsupervised domain adaptation

Applied Intelligence - Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a label-rich source domain to an unlabeled target domain with a different but related distribution....