Rapid Cloning and Expression of Glutaryl-7-Aminocephalosporanic Acid Acylase Genes from Soil Samples

A polymerase chain reaction （PCR）-based strategy was developed to rapidly obtain the gene encoding for an industrially important enzyme, glutaryl-7-aminocephalosporanic acid （GL-7-ACA） acylase.Different soil samples were cultured with a Pseudomonas selective medium to enrich specific microorganisms, and then the genomic DNA was extracted to serve as PCR templates. PCR primers for GL-7-ACA acylase gene amplification were designed on the basis of bioinformatics searches and analyses.The method was used to successfully amplify three GL-7-ACA acylase genes from different soil samples.The GL-7-ACA acylase genes were then cloned and overexpressed in Escherichia coil with a relatively high level of 266 unit · L^-1.     

高温高低周复合载荷试验加载技术

为了获取航空发动机涡轮转子叶片的疲劳寿命,通过电磁感应加热、高低周复合载荷协调加载控制方法实现正交载荷解耦联合加载,研究了转子叶片在高温环境、低周离心载荷和高周振动载荷耦合响应,并基于涡轮叶片模拟试验件,对上述技术进行了验证.结果表明,该试验技术具备可行性和正确性.可见该技术可以实现航空发动机结构部件的多场耦合复杂载荷...     

无溶剂条件下代硫醇试剂与α,β-不饱和酮的迈克尔加成反应

用4,4-二烷硫基-3-烯-2-丁酮(1)作为无气味硫醇替代试剂在硫杂迈克尔加成反应中进行了研究.用浓盐酸做催化剂,将一系列α,β-不饱和酮(2)与1在无溶剂条件下混合发生反应,得到了相应的产率较高硫杂迈克尔加成产物(3),并对其反应机理进行了探讨.     

多取代5,6二氢-4-噻喃并咪唑酮类化合物的合成

在α-肉桂酰基二硫缩烯酮类化合物(1)的基础上,由2,3-二氢-4-噻喃酮化合物(2)与水合肼在温和条件下合成了多取代5,6-二氢-4-噻喃并咪唑酮类化合物(3),通过核磁共振、红外光谱、质谱及元素分析对所得化合物进行了表征,并对该反应机理进行了探讨.     

飞行计划集中处理的流量瓶颈点的识别与优化

为建设全国级的空中交通流量管理系统提供智力支持,将飞行计划集中处理这一手段,运用于预战术飞行流量管理阶段的流量管理方法和技术的研究之中,提供了一条新的研究思路.首先,利用过点时间预测算法计算过点时间,并根据过点时间统计出关键航路点的流量预测值;接下来,通过航路点容量模型识别航路上飞行流量大于容量的航路点,即流量瓶颈点;...     

基于时变三维坐标重构的空间锥体目标微动特征提取方法

针对现有微动特征提取方法在散射系数复时变条件下不适用的问题,提出了一种基于时变三维坐标重构的微动特征提取方法。首先建立旋转对称空间锥体目标的微动信号模型,其次通过动态规划进行散射点分离,对各个散射点相位干涉处理后获得目标的时变三维像,最后利用高精度的三维坐标重构提取目标的三维微动特征。通过仿真实验在散射系数复时变的情况下进行微动特征提取,结果显示该方法的微动特征提取精度较传统方法有明显提高,可以较好地适用于散射系数复时变的情况。     

孤岛运行下微电网并联逆变器下垂控制策略研究

随着全球能源互联网的发展,微电网也得到了迅速的发展.微电网系统的稳定性和可靠性将直接受到逆变器运行特性的影响.结合微电网的电压、频率、有功功率和无功功率,分析了逆变器下垂控制的运行特性,实现了孤岛模式下微电网并联逆变器的下垂控制策略的优化.通过数学建模并搭建MATLAB/Simulink仿真模型,详细分析了孤岛模式下微电网负载变化时电压和频率的动态特性.仿真结果验证了微电网并联逆变器下垂控制策略优化的正确性和有效性.     

W/Hf摩尔比对HfB_2-WB_2-Si/SiC-SiC_(NW)复合涂层抗氧化性能的影响

为了提高C/C复合材料高温抗氧化性能,依次采用前驱体浸渍裂解、反应熔体浸渗和浆料涂刷工艺在C/C复合材料表面制得HfB_2-WB_2-Si/SiC-SiC_(NW)复合涂层,考察了W/Hf摩尔比对复合涂层物相组成、微观结构及抗氧化性能的影响。结果表明,当W/Hf摩尔比为2∶3时,所制HfB_2-WB_2-Si/SiC-SiC_(NW)复合涂层组织均匀、结构致密,表现出最佳的抗氧化性能。在涂层氧化过程中,WO_3的分相效应和HfSiO_4等高熔点颗粒的钉扎效应共同作用能使涂层表面氧化物玻璃相具有较高热稳定性和较低的氧扩散率,有利于提高涂层的抗氧化性能。     

基于网络药理学预测双莲方对肝细胞癌作用的机制

文章通过GEO数据库获取肝细胞癌样本差异表达基因,利用中药系统药理学数据库及 在线分析平台TCMSP收集双莲方的主要成分及作用靶点,通过Cytoscape构建双莲方中主要成分 的作用靶点与肝细胞癌相关基因的关系网络,预测双莲方治疗肝细胞癌的关键靶点基因,并利用 DAVID进行GO和KEGG富集分析,探讨双莲方治疗肝细胞癌的可能机制。结果表明,从双莲方中 筛选出225种活性成分,与肝细胞癌重合的靶点有28个,主要与肝细胞癌细胞中的激素代谢过程、 蛋白激酶复合物、细胞因子活性等关联,可能通过参与TNF信号通路、P53信号通路、Toll样受体信 号通路等发挥治疗肝细胞癌的潜在作用。研究结果为更深入地研究双莲方对肝细胞癌的作用提 供了理论依据。     

A quantum multi-agent based neural network model for failure prediction

An effective prognostic program is crucial to the predictive maintenance of complex equipment since it can improve productivity, prolong equipment life, and enhance system safety. This paper proposes a novel technique for accurate failure prognosis based on back propagation neural network and quantum multi-agent algorithm. Inspired by the extensive research of quantum computing theory and multi-agent systems, the technique employs a quantum multi-agent strategy, with the main characteristics of quantum agent representation and several operations including fitness evaluation, cooperation, crossover and mutation, for parameters optimization of neural network to avoid the deficiencies such as slow convergence and liability of getting stuck to local minima. To validate the feasibility of the proposed approach, several numerical approximation experiments were firstly designed, after which real vibrational data of bearings from the Laboratory of Cincinnati University were analyzed and used to assess the health condition for a given future point. The results were rather encouraging and indicated that the presented forecasting method has the potential to be utilized as an estimation tool for failure prediction in industrial machinery.