Progress and recent trend in MILD combustion

Moderate or intense low oxygen dilution(MILD)combustion plays a significant role in the mitigation of combustion-generated pollutants and greenhouse gases whilst meeting thermal efficiency needs.However,due to the lack of the fundamental knowledge on this combustion,there is a misconception that MILD combustion should be established by high preheating of the air,which has limited its application.Our research and development on this combustion has been performed for several years. We have found that the requ...     

财富效应与我国宏观经济调控分析

根据西方财富效应理论,研究了中国股市财富效应对居民消费、货币供求和财政收入的传导机制,并进一步分析阐明了当前我国发挥财富效应的条件及影响因素,对政府宏观调控中应如何引导财富效应发挥其正面的积极作用提出了相应的建议.     

CuO-NiO/Al_20_2催化剂上N-甲基哌嗪合成研究

以共沉淀法制备铜、铝系复合氧化物作为催化剂,二乙醇胺和甲胺为原料,合成了N-甲基哌嗪.利用高压反应釜对其进行活性评价,发现CuO-NiO/Al2O3活性最高.并对铜、铝、镍摩尔比、沉淀剂种类、沉淀方式,焙烧温度等条件进行了优化.结果表明:催化剂中理想的Cu、Al、Ni摩尔比为1:1:3.2,沉淀剂为氢氧化钠,沉淀方式为并流,焙烧温度为500℃.该条件下N-甲基哌嗪的选择性为27.7%,二乙醇胺的转化率达89.8%.另外通过对使用前后催化剂进行表征分析发现催化剂失活原因为表面高聚物的附着和对孔道的堵塞.     

数据挖掘技术在学生评估中的应用

近几年随着科技和现代教育的发展,数据库和网络技术得到飞速的发展和广泛的应用,智能教学系统也就大量地出现,这样就有大量的数据伴随着出现,而怎样处理这些数据使人们从中获得有用的信息变成一个热门的话题。数据挖掘技术就是将大量数据以一定的方式进行处理,得到对人们有用的信息,来帮助人们学习和预测。将数据挖掘技术引入到教学过程中学生的个人学习素质评估当中,创新性地通过决策树算法和聚类算法相结合的方法对学生数据分析,挖掘潜在的信息资源,找出影响个人综合素质的关键因素及各因素之间的关系,总结优秀学生的个人综合素质的培养方法,弥补不足,提高学生的个人综合素质。     

二氰基取代的四硫富瓦烯硫杂冠醚衍生物的合成及性质研究

在甲苯溶液中,在亚磷酸三乙酯存在下,采取高度稀释的方法,使4,5-二氰基-1,3-二硫杂环戊二烯-2-酮分别和多缩硫杂冠醚进行交叉偶联反应,成功地得到了不对称的2,3-二氰基四硫富瓦烯衍生物。用1HNMR、MSI、R和EA表征了其结构,并用循环伏安法研究了它们的电化学性质,用1HNMR初步评价了衍生物对钠离子的配合性能。     

国内外聚乙烯醇工业的进展及市场展望

简述了国内外聚乙烯醇工业情况，介绍了聚乙烯醇及其衍生物的应用领域，展望了聚乙烯醇的发展形势和市场状况。     

LogGAN: a Log-level Generative Adversarial Network for Anomaly Detection using Permutation Event Modeling

Information Systems Frontiers - System logs that trace system states and record valuable events comprise a significant component of any computer system in our daily life. Each log contains...     

Probabilistic and interval reliability design of the composite pressure vessel

Considering the randomness or interval character of physical parameters and applied loads of composite pressure vessels (COPV), the COPV reliability-analyzing model is built. And then the computational expressions for the mean value, standard deviation and deviation of fiber stress are deduced by the random factor method. The probabilistic and interval reliability designs on COPV are implemented by utilizing the probabilistic method and interval method combined with the improved particle swarm optimization (PSO) algorithm, respectively. The influence of fluctuation of structure uncertain parameters on COPV design thickness is inspected. Finally, examples are given to demonstrate that both probabilistic and interval reliability methods can satisfy the safety requirement and both are of higher rationality than the traditional safety factor method. And probabilistic method has a lower relative error but a higher computational complexity contrasted with the interval method.     

高职院校大学生主动退学现象透析及柔性干预策略研究

文章在对L职业大学近两年退学情况进行调查的基础上,辅之深度访谈与参与式观察相结合的质性研究方法,透析了大学生主动退学的深层次原因,提出"以生为本"的教育管理理念及柔性干预策略.