蚕蛹虫草菌丝生物学特性的研究

对蛹虫草菌丝体进行液体摇瓶培养，以菌丝体干重为指标，从碳源、氮源、pH、温度等方面探讨了蛹虫草菌丝的生物学特性．结果表明，蛹虫草菌丝的生长可以利用多种碳源和氮源，在以红糖为碳源、奶粉为氮源的液体培养基中生长最佳，且碳源／氮源合适的比例为2．0—2．5／1．0，适宜pH为5．0—6．5，最适pH为6．0，适宜生长温度范围为15—30℃，最适温度为25℃．     

培养条件对杏鲍菇菌丝生长的影响

对杏鲍菇菌丝生长所需的碳源、氮源和无机盐进行了优化实验。结果表明：杏鲍菇菌丝生长的最佳碳源为玉米粉，最佳氮源为NH4Cl，最适无机盐为KH2PO4和MgSO4·7H2O。并且通过L9（3^4）iE交实验得出在碳源、氮源和无机盐（KH2PO4和MgSO4·7H2O）这4个主要因素中，对菌丝生长影响最大的是碳源，氮源次之，无机盐影响最小；最佳组合为玉米粉5％，NH4C10．3％，KH2PO40．05％，MgSO4·7H2O0．15％。     

羊肚菌菌丝生物学特性的研究

从固体培养基、液体培养基、碳源、氪源、酸碱度、温度、光照等方面探讨羊肚菌菌丝的生物学特性．结果表明，羊肚茵菌丝适宜在PDA固体培养基以及黄豆芽——玉米粉液体培养基中生长；单肚菌菌丝生长的最适碳源为葡萄糖，最适氮源为硫酸铵；羊肚菌菌丝生长的最适pH范围为6～7，最适温度为25～33℃之间，并且在光照条件为弱光时羊肚菌菌丝生长状况较好．     

平菇液体菌种发酵条件的研究

对平菇液体菌种的碳氮营养需求及培养条件进行了研究．结果表明：黑平王（平菇）菌株能利用多种碳氮源，其中碳源以玉米粉为最好，有机氮优于无机氮，豆饼粉为最佳氮源．培养基最佳组合为玉米粉2％，豆饼粉1.5％，KH2PO4 0．15％，MgSO4 0．1％，pH6．最适培养条件为25℃，摇床转速140r／min，接种量8％，装液量为100mL发酵液／300mL三角瓶，发酵时间为4d．     

灰离褶伞菌丝的生长营养和培养条件研究

研究了灰离褶伞(Lyophyllum cinerascens(Bull.et Konr.)Konr.& Maubl.)菌丝生长所需的碳氮营养及其培养条件.结果表明,适宜灰离褶伞菌丝生长的最佳碳源为蔗糖,最佳氮源为麦麸和蛋白胨,最佳碳氮比为5∶1～10∶1,最适温度为25℃,最适pH为6.0.     

不同培养条件对秦皇岛地区葡萄灰霉病菌菌丝生长的影响

为明确秦皇岛地区葡萄灰霉病菌菌丝生长的适宜环境,采用不同温度、光照、培养基、氮源和碳源对葡萄灰霉病菌菌丝生长进行了试验研究。结果表明:秦皇岛地区葡萄灰霉病菌丝生长的最适宜温度是20~25℃,全光条件下最适宜于菌丝的生长;葡萄灰霉菌在供试的各种营养条件的培养基上均能生长,最适宜于其生长的培养基是胁本哲氏培养基;碳源和氮源试验中,以蔗糖为碳源的培养基和以蛋白胨为氮源的培养基最适于菌丝的生长。     

金针菇菌丝体静置培养的研究

在碳源为２％,氮源含量为０．１％,采用液本静置培养方法,研究了金针菇Ｆq-19菌株对碳源、氮源、矿质元素和生长因子的利用。试验表明,金针菇Fq-19菌丝营养对有机氮的利用比对无机氮强,有机氮中,其对复合氮素如酵母粉、蛋白胨、黄豆粉的比单一氮素如尿素、谷胺酰胺强,在无机氮中,其对铵态氮的利用较强硝态氨基本上不被利用。金针菇Ｆq-19菌株对碳素营养的利用较很广泛,在多糖中,对玉米粉的利用最好。其次是可溶性淀粉,对纤维素的利用较差;单糖 的葡萄糖,双糖中的红糖、白糖、蔗糖、麦芽糖是理想的碳源,在缺碳素营养、氮素营养的培养基上菌丝不生长。添加生长因子可促进菌丝的生长,以葡萄为碳源,硫酸铵为氮源,金针菇Ｆq－１９菌株适宜Ｃ／Ｎ为１７－２４：１,最适宜Ｃ／Ｎ为２０：１。当Ｃ／Ｎ比为２０：１时,菌丝生长旺盛,对营养利用较为合理。除碳、氮源外,维生素Ｂ１,Ｋ,Ｐ,Ｍ是金针菇菌丝生长的必须因子。     

褐口蘑菌丝的培养优化

探讨了不同营养条件对褐口蘑菌丝生长的影响.实验结果表明:褐口蘑菌丝生长的最佳碳源为蔗糖,最佳氮源为蛋白胨;能明显促进菌丝生长的微量元素为硫酸镁,生长调节因子为吲哚乙酸;最适温度为25℃;最佳pH值为7～8.     

杏鲍菇菌丝营养生理特性研究

采用平板培养法研究了杏鲍菇菌丝的营养生理特性.结果表明:果糖、麦芽糖和葡萄糖等简单糖类是杏鲍菇菌丝生长的适宜碳源,最适碳源是果糖,对多糖、有机酸和甘露醇的利用较差;酵母粉、牛肉膏、玉米浆、蛋白胨和豆饼粉等有机氮源是杏鲍菇菌丝生长的适宜氮源,最适氮源为酵母粉,对尿素、铵盐和和硝酸盐利用较差,不能利用亚硝酸盐;在基础培养基中添加磷酸二氢钾和硫酸镁可以促进菌丝生长,但添加硫酸锌菌丝不能生长.     

青蘑菌种分离与培养特性研究

以新鲜野生青蘑子实体为材料,用组织分离法获得青蘑菌株。研究了该菌株的培养特性。结果表明,青蘑菌丝生长的适宜pH为6.5,适宜温度为25℃,适宜氮源是蛋白胨,适宜碳源是玉米粉,适宜栽培培养基是棉籽壳培养基。     

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.