Probing met repressor-operator recognition in solution.

The three-dimensional crystal structure of the Escherichia coli methionine repressor, MetJ, complexed with a DNA operator fragment is described in an accompanying article. The complex exhibits several novel features of DNA-protein interaction. DNA sequence recognition is achieved largely by hydrogen-bond contacts between the bases and amino-acid side chains located on a beta-ribbon, a mode of recognition previously hypothesized on the basis of modelling of idealized beta-strands and DNA, and mutagenesis of the Salmonella phage P22 repressors Arc and Mnt. The complex comprises a pair of MetJ repressor dimers which bind to adjacent met-box sites on the DNA, and contact each other by means of a pair of antiparallel alpha-helices. Here we assess the importance of these contacts, and also of contacts that would be made between the C-helices of the protein and DNA in a previous model of the complex, by studying mutations aimed at disrupting them. The role of the carboxy-terminal helix face in operator binding was unclear, but we demonstrate that recognition of operator sequences occurs through side chains in the beta-strand motif and that dimer-dimer interactions are required for effective repression.     

鄂尔多斯盆地腹部下古生界天然气赋存系统研究

运用深盆气圈闭的基本原理，综合分析了鄂尔多斯盆地下古生界天然气赋存的基本地质因素，论证并提出了盆地腹部下古生界深盆气圈闭的新认识，并依据盆地地质构造特征将其进一步划分为：西部前渊拗陷型和中东部复式向斜型两大深盆气赋存系统．     

绢纺生产用抗静电剂的研究——SS1与SS2绢纺抗静电剂

本文对绢纺生产用抗静电剂的配方进行了研究,研制出SS1及SS2绢纺抗静电剂。应用表明,采用此类抗静电剂,不但降低了生产中的静电,而且提高了梳折;在圆梳系统中提高了3.23％,在精梳系统中提高了3.1％;同时精绵的长度和强力也有所增加,从而提高了经济效益。     

超微粒MnO_2的合成

以MnCl_2和NaOH为原料,采用胶溶法,制备了超微粒MnO_2制得的MnO_2超微粒为非晶态,直径6.0～10.0 nm,呈球状,在有机溶剂中具有良好的分散性和透明性,考察了影响氧化锰溶胶调制的因素,获得了最佳制胶条件,研究了表面活性剂用量与Mn迁移率的关系;通过X-光粉末衍射、红外光谱、热重及差热分析,研究了产品的结构性能。     

改性沥青防水卷材的地下室施工

介绍新型防水材料ＳＢＳ改性沥青柔性油毡的性能、施工工艺、操作方法及保证质量的措施，并提出存在的问题及施工中注意事项。     

耐火砖模具设计中空间平面尺寸的合理标注

分析空间四边平面加工过程中产生不共面的原因，提出了合理标注空间平面尺寸的方法并阐述了其理论根据。     

特征结构提取的高阶Hopfield神经网络实现

本文首先建立了特征结构提取问题的罚函数表示，通过对罚函数求极小可以求得原始协方差矩阵的主特征向量及其对应的特征值。为了求得其他特征结构，特构造了一个协方差矩阵序列。如果将罚函数展开并进行整理，高阶Ｈｏｐｆｉｅｌｄ神经网络可被引入到特征结构提取中。这种方法比较直观，它将网络稳定时的输出与所求协方差矩阵的主特征向量的各个分量相对应，而网络稳定时的能量则对应于协方差矩阵的迹与所求特征值之差，计算机仿真结果验证了这种方法的正确性。