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Taipei, Taiwan

The National Taipei University is a public university in Taiwan, founded in 1949. Before 2000, the University was named the College of Law and Business, National Chung Hsing University . The university's main campus is in Sanxia District, New Taipei, Taiwan. Two other small campuses are in Zhongshan District, Taipei, Taiwan.NTPU is regarded as one of the best universities in Taiwan, particularly in law, business, public affairs, humanities and social science. Approximately 10,950 students attend National Taipei University. It is also a member of the University System of Taipei . Wikipedia.


Chen T.T.,National Taipei University
Scientometrics | Year: 2012

Literature review is an important but time-consuming task that involves many disparate steps. A simple query to a library database may return voluminous literature that often bewilders novices. We believe the bibliographic techniques developed by the information scientists provide useful process and methods that facilitate literature analysis and review. We thereby developed a citation-based literature analyzing and structuring system, which may facilitate novices to perform tasks that are usually carried out by trained professionals. A field study was carried out to gauge the utility as well as users' perception using a questionnaire adopted from relevant empirical studies. Graduate students participated in the field study are able to publish papers in their first semester by utilizing this system. The utility and usefulness of the intellectual structuring system are demonstrated by the objective evidence of the high acceptance rate of papers utilizing the system as well as the subjective positive response from the users. A system utilization model utilizing the structure equation modeling technique found the task characteristics construct affects the information quality construct, which in turn affects the perceive usefulness of the system. © 2012 Akadémiai Kiadó, Budapest, Hungary. Source


Chang L.-C.,National Taipei University
Aging and Mental Health | Year: 2014

Objectives: The objectives of this study were to examine whether a leisure education program could facilitate leisure competence among older adults and whether it could also reduce their stress.Methods: A pre-test-post-test randomized experimental design was conducted. Subjects were randomly assigned to either an experimental group (n = 30) or a control group (n = 30). A leisure education program was used to serve as the intervention. A day before this experiment was carried out, pre-test data were collected using leisure competence and stress scales. Thirty minutes after this experiment ended, post-test data were collected using the same scales. These data were analyzed using an analysis of covariance.Results: The results indicated that the average post-test scores of leisure competence in the experimental group were significantly higher than those in the control group and that the average post-test scores of stress in the experimental group were significantly lower than those in the control group.Conclusion: Healthcare practitioners should adopt the provision of leisure education as a priority to facilitate leisure competence and reduce stress among older adults. © 2014 Taylor & Francis. Source


The calculation procedures and index interpretation of ecological footprint (EF) analysis, a method for assessing sustainable development (SD), have been continuously improved since the early 1990s. To identify potential for further improvement, this study compared the information revealed by existing EF applications for SD assessment with the core concerns of SD and found that intra-generational equity has not been appropriately addressed in the existing applications of EF analysis for SD assessment because the concept of nested open systems has been ignored. This study then argued that the concept of nested open systems should play a critical role in addressing global SD and conducting national EF analysis for SD assessment. Finally, the potential for improving EF analysis for SD assessment at the global and national scales was discussed. © 2014 Elsevier B.V. Source


Lin D.-T.,National Taipei University
Image and Vision Computing | Year: 2010

Matching two-dimensional electrophoresis (2-DE) gel images typically generates a bottleneck in the automated protein analysis, and image distortion and experimental variation, which reduce the matching accuracy. However, conventional matching schemes only compare two complete images, and landmark selection and registration procedures are rather time-consuming. This work presents a novel and robust Maximum Relation Spanning Tree (MaxRST) algorithm, in which an autonomous sub-image matching method does not require registering or manual selection of landmarks. The 2D gel images are represented graphically. Image features are then quantitatively extracted regardless of image size. Similarity between a sub-image and large image is then determined based on Gaussian similarity measurement inspired by fuzzy method, thereby increasing the accuracy of fractional matching. The proposed autonomous matching algorithm achieves an accuracy of up to 97.29% when matching 627 2-DE gel test images. In addition to accommodating image rotation, reversals, shape deformation and intensity changes, the proposed algorithm effectively addresses the sub-image mapping problem and was analyzed thoroughly using a large dataset containing 4629 images. The contributions of this work are twofold. First, this work presents a novel MaxRST strategy and autonomous matching method that does not require manual landmark selection. Second, the proposed method, which extends 2-DE gel matching to query sub-image and a database containing large sets of images, can be adopted for mapping and locating, and to compare small gel images with large gel images with robustness and efficiency. © 2009 Elsevier B.V. All rights reserved. Source


Chen Y.-S.,National Taipei University
Scientometrics | Year: 2011

This study applies patent analysis to discuss the influences of the three aspects of patent trait-a firm's revealed technology advantage in its most important technological field (RTAMIT), relative patent position in its most important technological field (RPPMIT), and patent share in its most important technological field (PSMIT)-upon corporate growth and discusses the moderation effect of relative growth rate of its most important technological field (RGRMIT) in the American pharmaceutical industry. The results demonstrate that the three relationships between corporate growth and the three aspects of patent trait are positive, and verify that RGRMIT moderates the three relationships. This study suggests that pharmaceutical companies should enhance their R&D capabilities, the degree of leading position, and concentration of R&D investment in their most important technological fields to increase their growth. Finally, this study classifies the pharmaceutical companies into four types, and provides some suggestions to them. © 2011 Akadémiai Kiadó, Budapest, Hungary. Source

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