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Tainan, Taiwan

Chia Nan University of Pharmacy and Science is a private university in Rende District, Tainan, Taiwan. It was established in 1966, upgraded in 1996 and renamed in 2000 Wikipedia.


Epidemiological and animal studies point to a possible protective effect of citrus flavonoids against cardiovascular diseases. The aim of this study is to investigate the effects of citrus flavonoids, 5-hydroxy-3,6,7,8,3',4'-hexamethoxyflavone (5-OH-HxMF) and 3,5,6,7,8,3',4'-heptamethoxyflavone (HpMF), on the activities and expressions of macrophage scavenger receptors and the hepatic LDL receptor. Treatment of HpMF (20 μM) during THP-1 differentiation successfully attenuated 12-myristate 13-acetate (PMA)-mediated DiI-labeled oxidized low-density lipoprotein (oxLDL) uptake as evidenced by flow cytometry, indicating that the functions of scavenger receptors were blocked. RT-Q-PCR analysis suggests that the decrease in oxLDL uptake was due to the down-regulation of PMA-induced SR-A mRNA expression. In terminally differentiated THP-1 macrophages, 5-OH-HxMF and HpMF could significantly reduce DiI-oxLDL uptake, with the former having a greater effect. 5-OH-HxMF attenuated oxLDL-mediated CD36 and SR-A expression; while HpMF only decreased CD36 expression. The effects of these two flavonoids on the activity and expression of the hepatic LDL receptor (LDLR) were further investigated in HepG2 cells. 5-OH-HxMF (10-20 μM) enhanced DiI-LDL uptake by 1.33-fold due to the enhanced LDLR expression. These results imply that HpMF is better at inhibiting PMA-induced oxLDL uptake during THP-1 differentiation, while 5-OH-HxMF is more powerful in attenuating oxLDL-induced scavenger receptor expression and activity in terminally differentiated THP-1 macrophages. Furthermore, 5-OH-HxMF may have hypolipidemic activity due to its up-regulating hepatic LDLR expression. Source


Hou C.-K.,Chia Nan University of Pharmacy and Science
International Journal of Information Management | Year: 2012

The advent of new information technology has radically changed the end-user computing environment over the past decade. To enhance their management decision-making capability, many organizations have made significant investments in business intelligence (BI) systems. The realization of business benefits from BI investments depends on supporting effective use of BI systems and satisfying their end user requirements. Even though a lot of attention has been paid to the decision-making benefits of BI systems in practice, there is still a limited amount of empirical research that explores the nature of end-user satisfaction with BI systems. End-user satisfaction and system usage have been recognized by many researchers as critical determinants of the success of information systems (IS). As an increasing number of companies have adopted BI systems, there is a need to understand their impact on an individual end-user's performance. In recent years, researchers have considered assessing individual performance effects from IS use as a key area of concern. Therefore, this study aims to empirically test a framework identifying the relationships between end-user computing satisfaction (EUCS), system usage, and individual performance. Data gathered from 330 end users of BI systems in the Taiwanese electronics industry were used to test the relationships proposed in the framework using the structural equation modeling approach. The results provide strong support for our model. Our results indicate that higher levels of EUCS can lead to increased BI system usage and improved individual performance, and that higher levels of BI system usage will lead to higher levels of individual performance. In addition, this study's findings, consistent with DeLone and McLean's IS success model, confirm that there exists a significant positive relationship between EUCS and system usage. Theoretical and practical implications of the findings are discussed. © 2012 Elsevier Ltd. All rights reserved. Source


Hsieh P.-J.,Chia Nan University of Pharmacy and Science
International Journal of Medical Informatics | Year: 2015

Purpose: Electronic medical records (EMRs) exchange improves clinical quality and reduces medical costs. However, few studies address the antecedent factors of physicians' intentions to use EMR exchange. Based on institutional trust and perceived risk integrated with the decomposed theory of planned behavior (TPB) model, we propose a theoretical model to explain the intention of physicians to use an EMR exchange system. Methods: We conducted a field survey in Taiwan to collect data from physicians who had experience using the EMR exchange systems. A valid sample of 191 responses was collected for data analysis. To test the proposed research model, we employed structural equation modeling using the partial least squares method. Results: The study findings show that the following five factors have a significant influence on the physicians' intentions to use EMR exchange systems: (a) attitude; (b) subjective norm; (c) perceived behavior control; (d) institutional trust; and (e) perceived risk. These five factors are predictable by perceived usefulness, perceived ease of use, and compatibility, interpersonal and governmental influence, facilitating conditions and self-efficacy, situational normality and structural assurance, and institutional trust, respectively. The results also indicate that institutional trust and perceived risk integrated with the decomposed TPB model improve the prediction of physician's intentions to use EMR exchange. Conclusion: The results of this study indicate that our research model effectively predicts the intention of physicians to use EMR exchange, and provides valuable implications for academics and practitioners. © 2014 Elsevier Ireland Ltd. Source


Hong C.-W.,Chia Nan University of Pharmacy and Science
Expert Systems with Applications | Year: 2012

This study proposes a clustering method based on Taguchi method for effective market segmentation. To select appropriate initial seeds, we propose the use of Taguchi method as the tools. This study compares the results of the proposed a Self-Organizing Map (SOM) for application to a real-world case of tea-beverage market segmentation. The results show that the proposed Taguchi method may improve segmentation performance. © 2011 Elsevier Ltd. All rights reserved. Source


Wang J.C.,Chia Nan University of Pharmacy and Science
Energy and Buildings | Year: 2012

This study presents a discussion on the energy performance of hotel buildings in Taiwan. Energy consumption data, building information, and other operations data were collected from 45 Taiwanese international tourist hotels, 19 standard tourist hotels, 116 hotel enterprises, and 20 bed and breakfast facilities. The energy use intensity (EUI) of the 4 rated hotels is 280.1, 237.7, 186.3, and 143.6 kWh/m 2/year. Mean energy consumption per guest room at the 4 rated hotels is 26.7, 25.0, 14.6, and 9.4 MWh/room/year. Electricity predominantly comprises total energy consumption, which accounts for 84% of total energy on average. Pearson correlations between EUI and possible explanatory indicators revealed that certain building conditions, operations, and other factors are significant. Two regression models were established to predict annual energy consumption and EUI, and gross floor area, number of guest rooms, occupancy rate, and building construction year were selected as independent variables. The coefficient of the adjusted R 2 is 0.928 and 0.612, which implies reliability. This study provides managerial suggestions according to the results for improving hotel energy performance. © 2012 Elsevier B.V. All rights reserved. Source

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