植物形态信息处理系统的研究

植物志是植物分类学研究中最重要的成果之一，它包含了大量的信息，如形态描述、命名及考证、地理分布等，其中形态学信息最为丰富，而且在分类学研究中始终占据着重要地位。植物分类学数据量的庞大和繁琐显然不适合手工处理，因此有必要利用计算机收集整理批量化数据的优势，以实现植物形态数据的自动处理。 本项研究结合作者的计算机实践和对分类学的认识，首次采用转换生成语法技术对植物志文本进行词法分析、语法分析以提炼植物志所包含的形态学信息，初步实现了植物志自然文本的中英文转换、中文检索表到数据库的自动转换、普通植物志描述文本到数据库的自动转换。 1.本系统处理过程对植物志文本不加任何限制，即无须前编辑处理，于是就增加了植物形态术语的切分难度，但由此提出了结合植物形态信息处理特点的词语切分方法。数值信息在植物志中占据着重要的地位，本系统则采用正规文法处理整数和无符号小数。 2.本系统将植物志文本的句式分为基本句和复合句，以基本句为基础总结归纳了一套适用于植物志文本的上下文无关文法，系统扩充了DELTA系统的描述结构，允许无性状主体句式的存在。而在语法制导翻译阶段利用继承属性补足无主句的性状主体。 3.本系统虽以绞股蓝属为基础来开展研究工作的，总结出文法并进行植物志文本的中英文转换，但经扩大术语库的词汇量后，也能适用于其他的科属。本系统附带有术语库的修订功能，可以自行编辑、修改和添加术语库中的词汇。 4.本系统设计了从检索表到数据库的自动转换程序，利用数据库的特点方便检索的查询。 5.系统实现了从一般植物志描述文本到数据库的自动生成，以利于对植物志住处的收集整理和查询。

Genetic diversity of plankton community as depicted by PCR-DGGE fingerprinting and its relation to morphological composition and environmental factors in lake donghu

To collect information about the genetic diversity of the plankton community and to study how plankton respond to environmental conditions, plankton samples were collected from five stations representing different trophic levels in a shallow, eutrophic lake (Lake Donghu), and investigated by PCR-DGGE fingerprinting. A total of 100 bands (61 of 16S rDNA bands and 39 of 18S rDNA bands) were detected. The DGGE bands unique to any single station accounted for 38% of the total bands, whereas common bands detected at all five stations accounted for only 11%. Using UPGMA clustering and MDS ordination of DGGE fingerprints, stations I and II were found to initially group together into one cluster, which was later joined by station V. Stations III and IV were isolated into two separate groups of one station each. Some differences in grouping relationships were found when analysis was completed on the basis of chemical characteristics and morphological composition, with zooplankton composition showing the greatest variability. However, the most similar stations (I and II) were always initially grouped into one cluster. Moreover, stations that exhibited the same or similar trophic level (stations III and IV), but different concentrations of heavy metals, were further differentiated by the DGGE method. Results of the present study indicated that PCR-DGGE fingerprinting was more sensitive than the traditional methods, as other studies suggested. Additionally, PCR-DGGE appears to be more appropriate for diversity characterization of the plankton community, as it is more canonical, systematic, and effective. Most importantly, fingerprinting results are more convenient for the comparative analyses between different studies. Therefore, the use of the described fingerprinting analysis may provide an operable and sensitive biomonitoring approach to identify critical, and potentially negative, stress within an aquatic ecosystem.

Information geometry theory of high-dimension space and application for speaker independent continuous digit speech recognition

In the light of descriptive geometry and notions in set theory, this paper re-defines the basic elements in space such as curve and surface and so on, presents some fundamental notions with respect to the point cover based on the High-dimension space (HDS) point covering theory, finally takes points from mapping part of speech signals to HDS, so as to analyze distribution information of these speech points in HDS, and various geometric covering objects for speech points and their relationship. Besides, this paper also proposes a new algorithm for speaker independent continuous digit speech recognition based on the HDS point dynamic searching theory without end-points detection and segmentation. First from the different digit syllables in real continuous digit speech, we establish the covering area in feature space for continuous speech. During recognition, we make use of the point covering dynamic searching theory in HDS to do recognition, and then get the satisfying recognized results. At last, compared to HMM (Hidden Markov models)-based method, from the development trend of the comparing results, as sample amount increasing, the difference of recognition rate between two methods will decrease slowly, while sample amount approaching to be very large, two recognition rates all close to 100% little by little. As seen from the results, the recognition rate of HDS point covering method is higher than that of in HMM (Hidden Markov models) based method, because, the point covering describes the morphological distribution for speech in HDS, whereas HMM-based method is only a probability distribution, whose accuracy is certainly inferior to point covering.

Morphological and genetic study of Prorocentrum donghaiense Lu from the East China Sea, and comparison with some related Prorocentrum species

In this paper, the detailed morphology of Prorocentrum donghaiense Lu from both field samples and cultures was examined, and a taxonomic comparison was made between P donghaiense and some related Prorocentrum spp. using morphological and molecular data and other published information. There were distinct differences among these species in morphological characteristics that historically have been presented as conservative features. The discrepancies extended beyond that of individual variations within the same species due to environmental factors. Therefore, these morphological features may not be conservative but, rather, polymorphic depending on environmental conditions. Based on this analysis, we suggest that the high-biomass bloom-forming species in the East China Sea, previously reported as Prorocentrum dentatum Stein, is P donghaiense Lu. The species reported from the East China Sea and Japanese and Korean waters appear to be the same species. Molecular data also suggest that P. dentatum (CCMP1517) and P. donghaiense are genetically identical. Therefore, the geographic distribution of P. donghaiense may be much wider than expected. (C) 2004 Elsevier B.V. All rights reserved.