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An issue in drug discovery research at pharmaceutical companies is the decline in the probability of market launch, and there is a need to improve the proof-of-concept (POC) acquisition rate by further improving clinical predictability. For this purpose, we need to deepen our understanding of human pathophysiology, and to make efficient of drug discovery research by utilizing human samples and data due to the change in mindset from "animals" to "humans" at the drug discovery research stage. In particular, with the aim of improving the efficiency of drug discovery research by utilizing human samples/data, we have established a human sample utilization support capability, then we are supporting the acquisition of appropriate human samples/data to meet each drug research need with collecting information on organizations that can provide various human samples and accumulating know-how on obtaining human samples/data. In addition, we have built a one-stop support system for surveying human samples/data, negotiating, and contracting with the organizations, obtaining ethical committee approvals, importing samples, and dealing with customs clearance. As results, our researchers can obtain high-quality human samples/data to meet their research needs rapidly/easily. By establishing this capability, the number of the research projects that implement target validation, pharmacological evaluation, BM identification, and patient stratification, etc. using human samples/data from the early stage of drug discovery, has increased, and then, the evidence obtained by using human samples/data contribute to create drug candidates with high probability of clinical effect. We will introduce our activities while showing the support flow that was actually constructed. [ABSTRACT FROM AUTHOR]

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Throughout history, human beings have developed a variety of strategies to traverse the enormous knowledge space and locate specific information. Taking metaphorical use of space as a means of conceptualizing information, namely where numerous information reside could be regarded as a vast space, and the trail navigating through the space to find information could be seen as an information path. The referenceable order or structure within information space is crucial in the process of information revisiting. From oral culture, written culture to bits culture, the research intends as a review of diverse methods of information organization, storage and retrieval developed in Western civilization. By looking at representative knowledge management systems in the three cultures, the discussion would be approached from the perspectives of mnemotechnics, library science and computer science. [ABSTRACT FROM AUTHOR]

This study aimed to explore the research trends in library and information science in the selected TSSCI (Taiwan Social Science Citation Index) journals including Journal of Educational Media & Library sciences, Journal of Library and Information Studies, and Journal of Library and Information Science Research. The publications from 2015 to 2019 were conducted with systematic content analysis. Three indicators for the coding scheme were (1) sample, (2) methodology, and (3) topic. The results showed that, in addition to focusing on literature and documents, the studies tended to choose users as research sample (e.g., librarians, adults, or students). Although the amount of quantitative studies have increased by years, the usage of experimental methods were relatively rare, as well as qualitative research and literature review research decreased every year. The three topics which have drawn scholars’ attention were (1) information service and user studies, (2) digital archive and e-learning studies, and (3) information and knowledge organization. Based on the findings of this studies, several directions for future work on library and information science were proposed.

In order to realize the automatic production line of immersed tube steel shell blocks, based on the steel shell manufacturing of Shenzhen -Zhongshan Link project, BIM technology was applied to carry out digital production design of immersed tube steel shell blocks, and establish the BIM model of the steel shell blocks. Through the extraction and integration of model information, the production organization information sets such as nesting drawing, cutting instruction, assembly drawing and assembly tree are generated, the automatic reconstruction of steel structure production line is carried out, the information management platform for steel shell block manufacturing is built, and the data channels among models, management platforms and production lines are established to realize the whole process production and information management of plate cutting, part manufacturing, sheet welding and block assembly guided by the BIM model of immersed steel shell block. [ABSTRACT FROM AUTHOR]

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

[Purpose/Significance] With the deepening of digital humanistic research on ancient books, the requirement for fine-grained classification based on text content is increasing continuously, and reasonable classification has become the key to the research and effective utilization of digital ancient books.[Method/Process] The research uses the concept of faceted classification, takes the text data of ancient books and related dictionary of ancient books as the research object, and combines conceptual semantic information to organize and describe the features of the content of ancient books. [Results/Conclusions] The classification system constructed in this paper breaks through the limitation of the number, genre and type of ancient books. The research selects five dimensions of politics, economy, culture, society and military to organize and reveal the contents of ancient books in an orderly manner, which is of great value to the in-depth development and utilization of digital resources of ancient books.

[Purpose/Significance] With the deepening of digital humanistic research on ancient books, the requirement for fine-grained classification based on text content is increasing continuously, and reasonable classification has become the key to the research and effective utilization of digital ancient books.[Method/Process] The research uses the concept of faceted classification, takes the text data of ancient books and related dictionary of ancient books as the research object, and combines conceptual semantic information to organize and describe the features of the content of ancient books. [Results/Conclusions] The classification system constructed in this paper breaks through the limitation of the number, genre and type of ancient books. The research selects five dimensions of politics, economy, culture, society and military to organize and reveal the contents of ancient books in an orderly manner, which is of great value to the in-depth development and utilization of digital resources of ancient books. [ABSTRACT FROM AUTHOR]

Copyright of Commerce & Management Quarterly is the property of Chinese Association of Business & Management Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Grounded on organization of information, this study used card sorting method to investigate female consumers’ preferred classification scheme, and adopted in-depth interview method to identify the organizing rules they lived by. The results of card sorting analysis were able to identified 14 categories of health food package information, and they were price, flavor, award and remarks, product liability insurance, disposal information, research development information, function claims, consumer complaints, production information and logo, nutritional ingredient, advertisement and national certificate, food instructions, manufacturer information, and others. This study found that the consumer-perceived most important food package information were product name, brand name, ingredient information, food additives information, and information on certified functions. It suggests that these five types of information should be prominently displayed in a conspicuous place to enable consumers make rationale and efficient choices. The 14 categories of food package information and their labels resulted from the card sorting experiment may provide a guide as to how the information should be organized and grouped in a way that facilitates making sense of the information. This study may also facilitate consumers to efficiently and accurately locate the information they need when making purchasing decision of health food. (Article content in Chinese with English extended abstract)

Grounded on organization of information, this study used card sorting method to investigate female consumers' preferred classification scheme, and adopted in-depth interview method to identify the organizing rules they lived by. The results of card sorting analysis were able to identified 14 categories of health food package information, and they were price, flavor, award and remarks, product liability insurance, disposal information, research development information, function claims, consumer complaints, production information and logo, nutritional ingredient, advertisement and national certificate, food instructions, manufacturer information, and others. This study found that the consumer-perceived most important food package information were product name, brand name, ingredient information, food additives information, and information on certified functions. It suggests that these five types of information should be prominently displayed in a conspicuous place to enable consumers make rationale and efficient choices. The 14 categories of food package information and their labels resulted from the card sorting experiment may provide a guide as to how the information should be organized and grouped in a way that facilitates making sense of the information. This study may also facilitate consumers to efficiently and accurately locate the information they need when making purchasing decision of health food. [ABSTRACT FROM AUTHOR]

It is an important trend to expand the use of bibliographic records from the supply chain for libraries. However, what are the sources of vendors’ bibliographic records? Their quality? How do libraries deal with these bibliographic records? Are they satisfied them? This study first drawn 1,080 bibliographic records from 29 e-book products, and MarcEdit was used to check their quality and 14% were found to contain errors. Secondly, this study interviewed 12 vendors and found out that bibliographic records of western books were mostly copied from the OCLC, and there were also bibliographic records from the original vendors who commissioned outsource companies to do the cataloging process. In addition, there were those cataloged by Taiwanese manufacturers themselves. Lastly, this study sent questionnaires to Taiwan Academic E-Book & Database Consortium members to survey their satisfaction on bibliographic records provided by vendors and their recommendations thereof. This study shows that most libraries have inputted the bibliographic records of the e-books into their OPAC system and are generally satisfied with the bibliographic records provided by the vendors, though opinions vary on the accuracy of these records.

Text clustering is a powerful information retrieval technique to detect topics from document corpora, so as to provide information browsing, analysis, and organization. On the other hand, the Instant Response System (IRS) has been widely used in recent years to enhance student engagement in class and thus improve their learning effectiveness. However, the lack of functions to process short text responses from the IRS prevents the further application of IRS in classes. Therefore, this article aims to discuss the current status of IRS application, illustrate the characteristics of short text responses from the IRS, review current short text processing techniques, propose a proper short text clustering module for the IRS, and demonstrate our implemented techniques through real-world examples, so as to provide experiences and insights for further study. In particular, we have compared three clustering methods and the result shows that theoretically better methods need not lead to better results, as there are various factors that may affect the final performance. [ABSTRACT FROM AUTHOR]

The purpose of this study is to explore the characteristics of the literature on information organization in Taiwan. A total of 610 articles from 1882 to 2008 and 113 theses and dissertations from 1971 to 2008 were identified and analyzed. The growth of literature, research subjects, author productivity, the distribution of journals and organizations are addressed. The results of this study reveal that the journal articles in Taiwan had been up-growing except after 2003, but the theses and dissertations had been growing stably. The major research subject of journal articles is classification theory and descriptive cataloging, but the theses and dissertations are knowledge organization. The zone analysis from Bradford’s law is not applicable to journal productivity. Productivity is mainly focused on single author and toward coauthor. The Journal of Educational Media and Library Sciences is the major journal that publishes information organization articles. The National Taiwan University is the most productive schools of theses and dissertations, but various schools have their characteristics of research subjects. (Article content in Chinese with English abstract)

“Butterflies of Taiwan” is a sub-project under Taiwan Digital Museum Project(TDMP), sponsored by the National Science Council of Taiwan. “Butterflies of Taiwan”, a cooperative project, was proposed by National Chi-Nan University and National Museum of Natural Science; its metadata was developed by Resources Organization Searching Specification (ROSS, also a sub-project under TDMP) Research Team. In order to design the appropriate elements and create the butterfly metadata, ROSS started to gather relevant information on butterfly and information cataloging in August 1998. The main purpose of this project is to establish a digital museum to support and promote science education. Task of ROSS is the following: with respect to information storage and retrieval demand, to develop butterfly metadata format and design system specification based on the project content. This article presents the metadata format created for butterfly project and discusses issues related with its implementation. In order to promote information exchange, mapping of butterfly metadata to Dublin Core will also be presented. (Article content in Chinese with English abstract)

In view of the difficulties to recognize ECG signal automatically, this paper presented a new clustering algorithm, which was proposed based on the MSE attribute weights genetic simulated annealing to improve K-means clustering algorithm, in order to improve the ECG signal automatic identification technology. It used wavelet transform and multi-resolution and good anti-jamming capability to detect QRS complex, P wave, T wave, improved the accuracy of feature detection. Because of the cluster method had more robust and suitable for large data volume analysis, it classified the ECG signals by using this method to analyze large data volume. It adopted the parts of data from the MIT-BIH standard ECG database to judge the result of the identification. The improved K-means clustering algorithm is more accurate than the traditional K-means clustering algorithm, experiments indicate that this algorithm is effective and accurate to classify ECG signals. [ABSTRACT FROM AUTHOR]

This paper studied the impacts on the efficiency of text automatic categorization system coming from three quantitative indexes of training set, including the number of features, categories and texts in each category. It used multifactor analysis of variance (multiple ANOVA) and took different kinds of corpus to explore the influence rule of three quantitative indexes on the system efficiency. The results show that the impact of feature numbers on the classification accuracy depends on different texts number and categories number, and three quantitative indexes in the training set affect the classification accuracy interactively. It raised a new way to improve the classify efficiency through optimizing relevant quantitative indexes of training set. The experimental results of the real world data show that the proposed method has a relative good performance to text categorization. [ABSTRACT FROM AUTHOR]

TPR-tree is the most popular indexing method for moving objects, but it is inefficient to deal with a huge number of moving objects within a limited area. When taking cognizance of the regular track of moving objects within a limited area, the grid technique can be relied upon to group the moving objects. With the GG TPR-tree, grouped moving objects which are neighbors and will run to the same direction in the future to improve the efficiency in indexing. Experimental results showed that GG TPR-tree's performance was better than the other indexing structure on managing a great number of moving objects within a limited area. [ABSTRACT FROM AUTHOR]