投标书制作及投标过程失误的分析与对策

一些施工企业在投标书制作及投标过程中由于经验不足,造成了失误,花费了大量的人力、物力、财力,结果标书被废弃。为了避免投标工作的失误,投标企业一定要熟悉招投标的有关法律、法规,详细研读招标文件,分工明确责任到人,同时确保标书按时投致业主手中。

人名识别技术在中国招中标领域的应用

招中标数据中的联系人和评审专家是企业关注的关键信息之一,为建立企业竞争信息服务平台,实现招中标数据的自动处理,采用基于隐马尔可夫模型的人名识别算法,并使用招中标数据进行模型修正的方法提高对联系人和评审专家提取的准确率。修正后的人名识别模型准确率从80%提高到了89.5%,召回率从88.9%提高到95.1%,达到了实际中可以应用的准确率要求,具有良好的应用价值。

Taxonomic revision of Gelidium tsengii and Gelidium honghaiwanense sp. nov. (Gelidiales, Rhodophyta) from China based upon molecular and morphological data analyses

The taxonomic relationship of Chinese GeBdium tsengii and Gelidium johnstonii was ambiguous. For almost 20 years they have been regarded as distinct taxa and until 2002 G.johnstonii was considered as a misapplied name of G. tsengii. In this study, herbarium specimens that initially attributed to G. tsengii and fresh G. tsengii specimens were used to address the taxonomic issues. In phylogenetic studies, G. tsengii from Dayawan, China, near the type locality of G. tsengii and G.johnstonii from Sonora, Mexico, the type locality of G. johnstonii, formed a monophyletic group with maximum support in rbcL and COl genes analyses, indicating that they were genetically identical. In morphological studies, G. tsengii was similar to G. johnstonii in branching pattern, inner structures and fructiferous organs. Consequently, we considered that semi-circular outline of G. tsengii could no longer be treated as a discrimating fea^re. G.johnstonii had priority of publication and according to the International Code of Botanical Nomenclature, G. tsengii was proposed as a synonym of G. johnstonii. Gelidium honghaiwanense sp. nov. was described from Guangdong, China on the basis of morphological and molecular data. For vegetative structures, it was characterized by flattened upright frond, regular two-three times branches pinnate or alternate and clavate ultimate branchlets. For reproductive structures, the tetrasporangial sori were in the apical part of branches and the tetrasporangial branchlets were distichously distributed along second order branches. The present study clarified the relationship between G. tsengii and G. johnstonii from Guangdong and added a new Gelidium species to the Chinese algal flora.

Exploring Enterprise Performance Indicators Network： A Case Study of China Telecommunication Industry

Perforrmnce indicators play some important roles in enterprise operation. Both researchers and managers have recently pointed out that the identification of correlation between different performmance indicators may lead to a better understanding of business. However, it is becoming more and more difficult to measure and analyze these indicators since the fast growing number of performance indicators and the complex relationships between them The existing categories failed to reflect these changes in an adequate way, and the quantitative analysis methods for identifying the characters of those pefformance indicators are still worthy of investigation. The main objective of this paper is to propose a practical methodology for managing and analyzing performance indicators in enterprises, which focuses on building up a performance indicator system and discovering the characters of those performance indicators by applying complex network methods. The empirical results of a telecommunieation enterprise show that the proposed method can be effective in understanding the correlations between performance indicators.

Clinical metabolic analysis combined with traceability of biosynthetic pathway:a new approach to quality marker of Chinese materia medica

Quality marker(Q-marker)of Chinese materia medica(CMM)plays an important role in quality control of CMM products.However,its research strategy and technique remain unclear.Based on the fact that quality standard of CMM should be associated with clinical efficacy,taking Jinqi Jiangtang tablet treating type 2 diabetes as an example,the Q-marker related to activity via the reverse analysis of drug metabolism in clinic and traceability of botanic biosynthetic pathways is discovered and validated.Therefore,we proposed a new research strategy of Q-marker of CMM with"Discovery of clinical active constituents as guidance,Reverse analysis of metabolic transformations as link,and Traceability of biosynthesis pathways as key",to improve quality control of CMM products.

The Functions of Componential Analysis to the Translation of Cultural Animal Images in The Classic of Mountains and Seas

The thesis aims to explain the functions of componential analysis to animal images in The Classic of Mountains and Seas. It serves as a treasure to the tremendous Chinese classics. However, as most of the animal images in the classic book are rarely seen in daily life, translation of animal images in the ancient Chinese book remains a hard nut to crack. In this case, explicit and accurate interpretation of these culture-loaded items is crucial to make readers understand. However, few previous studies touched upon this area. In this case, componential analysis serves as a solution. As an effective approach for analyzing semantic components, componential analysis is an effective way to break down semantic components of words and make them easily understood. In the previous studies, papers relating translation to componential analysis were not the majority. Among them, few papers are concerning application of componential analysis to the translation of literary works. In this essay, the analysis of animal images could be interpreted in lexical and textual level respectively. In this case, componential analysis bridges the gap for culture differences and enables readers of target language to savor the beauty. Therefore, readers of the target language can enjoy alien cultures of ancient China by reading this translated version.

Eye-Movement While Generating a Trajectory Using the Upper Limb

This paper describes the experimental analysis of eye-movement during the generation of a trajectory by the human upper limb, carried out to elucidate the human mechanism for visual-information recognition. The results showed that the subjects adopted an eye-movement pattern called the subgoal travel method （fixating in the vicinity of the fingertip while drawing/tracing） for the complete circle. Subsequently, when the target trajectory was one of incomplete shapes, some subjects continued following the subgoal travel method by drawing the missing part of the target trajectory, while others followed two other eye-movement patterns. The first is called the center-point fixation method, in which subjects consider the center point as the most important point for generating the target-image trajectory, and therefore, fix their gaze at the center point throughout the experiment. The second is called the point-to-point travel method, in which the subjects＇ gazes shift between the center point of a displayed image and their fingertip. Further, the results confirmed that the eye-movement pattern, movement accuracy, and drawing speed are correlated. Additional experiments clarified the conditions for which different eye-movement patterns are suitable： the subgoal travel method is suitable for high-accuracy drawing; the center-point fixation method is suitable for higher-sneed drawing

Regularized canonical correlation analysis with unlabeled data

In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great portion of data that we do not know which set it belongs to. This part of data is called unlabeled data, while the rest from definite datasets is called labeled data. We propose a novel method called regularized canonical correlation analysis (RCCA), which makes use of both labeled and unlabeled samples. Specifically, we learn to approximate canonical correlation as if all data were labeled. Then, we describe a generalization of RCCA for the multi-set situation. Experiments on four real world datasets, Yeast, Cloud, Iris, and Haberman, demonstrate that, by incorporating the unlabeled data points, the accuracy of correlation coefficients can be improved by over 30%.