双-{N-[2-脱氧-β-D-吡喃葡糖-2-(3-甲酰基水杨酸胺)]} 金属合物及其金属胶束催化PNPP水解动力学

作者合成和表征了双－｛N-[2-脱氧－β－D－吡喃葡糖－2－（3－甲酰基水杨酸胺）]｝M2（Ⅱ）配合物（M＝Cu,Zn,Co）；研究了该双核金属配合物在CTAB胶束溶液中催化PNPP水解反应动力学；用双核复合物金属胶束的三元复合动力学模型对实验结果进行了定理处理，结果表明：配合物在CTAB胶束溶液中形成金属胶束后，催化水解的能力明显增强，可使反应速率提高几百倍至二千多倍，金属配合物催化水解的速率常数大小顺序为Cu(Ⅱ），Zn（Ⅱ）和Co(Ⅱ)。     

微波辐射下交联壳聚糖树脂的制备及其吸附性能

在稀醋酸溶液中，微波辐射下壳聚糖与Zn^2 反应制备了壳聚糖Zn^2 配合物，然后将制得的配合物与环氧氯丙烷在微波辐射下进行交联反应后，用稀酸除去Zn^2 ，合成了具有Zn^2 离子孔穴的交联壳聚糖树脂。实验考察了该树脂对一些金属离子的吸附性能，并对影响树脂吸附性能的因素进行了研究。     

两个Cu（Ⅱ）配位超分子的研制及光物理性质

采用水热和溶剂热方法合成了2个Cu（Ⅱ）配合物：[Cu（C3H2O4）（phen）（H2O）]2·3H2O（1）和[Cu（inic）2（H2O）3]·H2O（2）（phen=邻菲啰啉;inic=异烟酸根）.通过单晶X射线衍射、IR、UV-Vis-NIR吸收光谱、表面光电压光谱（SPS）对其进行了结构表征和物性测试.结构分析表明,2种配合物均为单核Cu（Ⅱ）配合物.配合物（1）中Cu（Ⅱ）离子为五配位,配位环境为畸变的四方锥构型;配合物（2）中Cu（Ⅱ）离子为五配位,配位微环境为畸变的四方锥构型.丰富的分子间氢键将它们网联成了2D配位超分子.2种配合物的SPS在300～800nm范围内都呈现出正的表面光伏响应,表明它们都具有一定的光电转换能力.分析讨论了2种配合物的电子光谱和SPS谱.     

TiO_2-KNO_3溶液界面吸附Cu(Ⅱ)的动力学特征

本文通过用BAM理论处理吸附动力学数据，得出Cu（Ⅱ）在TiO2-KNO3溶液界面上的吸附过程由液膜扩散所控制，吸附反应级数为一级．     

粘土-壳聚糖复合吸附剂吸附铬(Ⅵ)离子性能的研究

通过壳聚糖与粘土的结合，制备出复合吸附剂，并研究其对Cr（Ⅵ）离子的吸附性能．研究结果表明，与单一的粘土或壳聚糖相比，该吸附剂对Cr（Ⅵ）离子吸附速度快、吸附能力强．吸附除去Cr（Ⅵ）的最佳工艺条件是：壳聚糖与粘土质量比为0．04，pH值4～6，Cr（Ⅵ）离子的质量浓度≤10mg／L，吸附平衡时间为40min，吸附荆用量为8．0g／L．     

壳聚糖—Cu(Ⅱ)配合物对尿素的吸附

研究了利用天然高分子聚合物壳聚糖与Ｃｕ（Ⅱ）的配合物配位吸附尿素的方法。结果表明：当配合物中含铜质量分数为６．５％,溶液ｐＨ＝６．０时吸附尿素效果最好。当尿素原液质量浓度为１３００．０ｍｇ／Ｌ,吸附时间８．０ｈ时,吸附量可达８３．６ｍｇ／ｇ。     

3,5—diBr—PADAP—Triton X—100光度法测定微量铜

本文系统研究了在表面活性剂TritonX－100存在下，3，5—diBr—PADAP与Cu（Ⅱ）的显也反应性能，提出了测定微量铜的新方法．在pH3．5HAc－NaAc缓冲液中，Cu（Ⅱ）与3，5-diBr-PADAP形成1：2配合物，其最大吸收波长为573nm，表观摩尔吸光系数为8．5×104，Cu（Ⅱ）含量在0～4μg／10ml范围内服从比耳定律．在确定条件下，大量金属离子不干扰，反应有较好的选择性．方法直接用于铝合金中微量铜测定，结果满意．     

D-葡萄糖胺西佛碱金属配合物金属胶束催化PNPP水解反应动力学的研究

合成了[N-(2-脱氧－β-D-吡喃葡糖－2－水杨醛胺）]M（Ⅱ）单核金属配合物（M=Cu,Zn,Co,Ni)，使用分光光度法研究了该单核的在CTAB胶束溶液中催化PNPP水解反应动力学，用单核配合物金属胶束的三元复合动力学模型对实验结果进行了讨论。实验结果表明：这类配合物在CTAB胶束溶液中形成金属胶束后，催化水解的能力明显增强，在中性或偏碱性环境中对PNPP的水解具有很好的催化活性，且金属配合物催化水解的速率常数其大小顺序为Zn(Ⅱ),Cu(Ⅱ),Co(Ⅱ),Ni（Ⅱ）。     

双核铜、锰三元配合物[Cu2(L1)(Phen)4](ClO4)4及 [Mn2(L2)2(Phen)4](ClO4)2: 合成、表征、结构与π-π堆积作用

合成了含邻菲咯啉的三元混配的双核酮、锰配合物：[Cu2（L^1）（Phen）4]（ClO4）4（1）和[Mn2（L^2）2（Phen）4]（ClO4）（2）（Phen=邻菲咯啉，L^1=苯并三氮唑，L^2=4-喹啉羧酸），并用X-射线单晶衍射法测定了它们的晶体结构．配合物1中两个Cu（Ⅱ）中心均为五配位的四方锥配位构型，两金属中心之间通过苯并三氮唑桥联，分子内Cu…Cu距离为0．5877nm；配合物2中Mn（Ⅱ）中心为六配位的八面人本构型，两个4-喹啉羧酸均以双单齿的桥联模式将两个Mn（Ⅱ）原子连接，分子内Mn…Mn的距离为0．4728nm．此外，两个配合物均存在着较强的π-π堆积作用．     

一维配位聚合物{[Cu（tzda）（H2O）3]·3．5H2O}n的合成、晶体结构及电化学性质

合成了一维配位聚合物{[Cu（tzda）（H2O）3]·3．5H2O}n（H2tzda为1,3,4-噻二唑-2,5-二硫代乙酸）,对其结构进行了红外、元素分析和X射线单晶衍射测定．配合物属单斜晶系,空间群C2／c,晶胞参数a=1．9073（12）nm,b=0．7134（4）nm,c=2．3635（15）nm,β=91．3780（10）°,Z=8．金属中心Cu（Ⅱ）离子呈现出五配位,处于四角锥的配位环境;配体阴离子tzda2-采用双（单）齿配位模式将Cu（Ⅱ）离子连接成一维链状结构．配合物的电化学研究表明：在-0．3—0．4V电位范围内,Cu2＋／Cu＋电对在电极上的氧化还原反应过程是准可逆过程且受扩散控制．     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.