Principles of value creation in event tourism: Enhancing the competitiveness of regional clusters Chung-Shing Lee a , Drew Martin b , Pi-Feng Hsieh

Chung-Shing Lee,Drew Martin,Pi-Feng Hsieh,Wan-Chen Yu 한국마케팅과학회 2020 마케팅과학연구 Vol.30 No.4

Using a strategic management perspective, this paper conceptualizes how event tourism creates and appropriates value for locations and regions supporting tourism. A conceptual framework of the six principles of tourism value creation integrates theoretical developments in value creation and retention, service innovation, and networks and regional clusters. This model applies to three levels of players: individual entities, tourism-supporting organizations, and the geographic or regional clusters that promote tourism. This framework demonstrates how event tourism creates value for individual tourists, tourism-related organizations, and regional economies, while also enhancing competitiveness for regions and individual nations. The model offers a new perspective for future research directions and practitioner guidance to create and sustain competitive advantage.

Twelve Weeks of Ledipasvir/Sofosbuvir for Patients with Chronic Hepatitis C Genotype 2 Infection: Integrated Analysis of Three Clinical Studies

( Chung-feng Huang ),( Yasuhiro Asahina ),( Chun-jen Liu ),( Edward Gane ),( Yoshito Itoh ),( Norifumi Kawada ),( Yoshiyuki Ueno ),( Jin Youn ),( Chen-yu Wang ),( Joe Llewellyn ),( Anu Osinusi ),( Jen 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1

Aims: HCV genotype (GT) 2 is the second most common genotype in several Asian countries including Taiwan and Korea. Treatment options for GT2 remain limited in these countries. The once-daily fixed-dose combination of ledipasvir/sofosbuvir (LDV/SOF) was evaluated for the treatment of GT 2, in patients with or without compensated cirrhosis, in three phase 2 and 3 studies. Methods: This was a retrospective analysis of subjects treated with LDV/SOF for 12 weeks in the GS-US-337-1655 (Taiwan), GS-US-337-1903 (Japan) and GS-US-1468 (New Zealand) studies. Subjects analyzed in this integrated analysis were either mono-infected with HCV GT2, or co-infected with HCV GT2 and HBV. The data was pooled and safety and efficacy were analyzed. Results: Overall 200 subjects were treated and analyzed; 88% of subjects were Asian, 46% male, 31% had prior treatment failure, 15% were cirrhotic, 25% were IL28B non-CC, 34% were 65 years or older and 22% (n=43) were co-infected with HBV. The overall SVR rate was 97% (194/200), and was 93% (27/29) among patients with cirrhosis and 97% (59/61) in patients who had failed previous therapy. Of the 197 patients with available testing; NS5A resistance-associated substitutions (RASs) were present in 86% (169/197) at baseline. SVR12 rate was 98% (165/169) in patients with baseline NS5A RASs compared with 100% (28/28) in patients without NS5A RASs. No new RASs emerged in patients with virologic failure. Treatment with LDV/SOF for 12 weeks was well tolerated. Overall the most common adverse events AEs were headache and nasopharyngitis. Few subjects experienced serious AEs, none of which were assessed as treatment related. One patient discontinued treatment due to AE. Conclusions: Treatment with LDV/SOF for 12 weeks is highly effective and well tolerated in patients with GT2 HCV infection, including patients who are treatment experienced and/or have compensated cirrhosis, baseline NS5A RASs and with HBV/HCV coinfection.

Scaling up the in-hospital hepatitis C virus care cascade in Taiwan

( Chung-feng Huang ),( Pey-fang Wu ),( Ming-lun Yeh ),( Ching-i Huang ),( Po-cheng Liang ),( Cheng-ting Hsu ),( Po-yao Hsu ),( Hung-yin Liu ),( Ying-chou Huang ),( Zu-yau Lin ),( Shinn-cherng Chen ),( 대한간학회 2021 Clinical and Molecular Hepatology(대한간학회지) Vol.27 No.1

Background/Aims: Obstacles exist in facilitating hepatitis C virus (HCV) care cascade. To increase timely and accurate diagnosis, disease awareness and accessibility, in-hospital HCV reflex testing followed by automatic appointments and a late call-back strategy (R.N.A. model) was applied. We aimed to compare the HCV treatment rate of patients treated with this strategy compared to those without. Methods: One hundred and twenty-five anti-HCV seropositive patients who adopted the R.N.A. model in 2020 and another 1,396 controls treated in 2019 were enrolled to compare the gaps in accurate HCV RNA diagnosis to final treatment allocation. Results: The HCV RNA testing rate was significantly higher in patients who received reflex testing than in those without reflex testing (100% vs. 84.8%, P<0.001). When patients were stratified according to the referring outpatient department, a significant improvement in the HCV RNA testing rate was particularly noted in patients from non-hepatology departments (100% vs. 23.3%, P<0.001). The treatment rate in HCV RNA seropositive patients was 83% (83/100) after the adoption of the R.N.A. model, among whom 96.1% and 73.9% of patients were from the hepatology and non-hepatology departments, respectively. Compared to subjects without R.N.A. model application, a significant improvement in the treatment rate was observed for patients from non-hepatology departments (73.9% vs. 27.8%, P=0.001). The application of the R.N.A. model significantly increased the in-hospital HCV treatment uptake from 6.4% to 73.9% for patients from non-hepatology departments (P<0.001). Conclusions: The care cascade increased the treatment uptake and set up a model for enhancing in-hospital HCV elimination. (Clin Mol Hepatol 2021;27:136-143)

Unmet needs of chronic hepatitis C in the era of direct-acting antiviral therapy

Chung-Feng Huang,Ming-Lung Yu 대한간학회 2020 Clinical and Molecular Hepatology(대한간학회지) Vol.26 No.3

The treatment of chronic hepatitis C (CHC) has been revolutionized in an era of all-oral direct-acting antivirals (DAAs) since 2014. Satisfactory treatment efficacy and tolerability can be provided by novel DAAs. Nevertheless, there are still some unmet needs and emerging issues in the treatment of CHC in the DAA era. Certain hard-to-cure populations are prone to have inferior treatment responses, including patients with severe liver decompensation, active hepatocellular carcinoma (HCC), and hepatitis C virus (HCV) genotype 3 (HCV-3) infection and those who experience multiple DAA treatment failures. Hepatitis B virus (HBV) reactivation during and after DAA treatment has raised concern regarding the use of prophylactic antivirals against HBV throughout DAA treatment. However, the standard strategy for the use of prophylactic antivirals is not uniform across regional guidelines. In the post-sustained virological response (SVR) period, HCC still occurs in a substantial proportion of patients. Due to the relatively short follow-up period, the net benefit of the achievement of an SVR by DAAs in the reduction of extrahepatic manifestations has not yet been determined. Attention must also be paid to HCV reinfection, particularly in high-risk populations. The most critical and unmet need for HCV elimination is the large gap in the HCV care cascade at the population level. To accomplish the World Health Organization (WHO)’s goal for HCV elimination by 2030, the expansion of access to HCV care requires a continuous effort to overcome practical and political challenges.

Temperature development and cracking characteristics of high strength concrete slab at early age

Chung-Hao Wu,Yu-Feng Lin,Shu-Ken Lin,Chung-Ho Huang 국제구조공학회 2020 Structural Engineering and Mechanics, An Int'l Jou Vol.74 No.6

High-strength concrete (HSC) generally is made with high amount of cement which may release large amount of hydration heat at early age. The hydration heat will increase the internal temperature of slab and may cause potential cracking. In this study, slab specimens with a dimension of 600 × 600 × 100 mm were cast with concrete incorporating silica fume for test. The thermistors were embedded in the slabs therein to investigate the interior temperature development. The test variables include water-to-binder ratio (0.25, 0.35, 0.40), the cement replacement ratio of silica fume (RSF; 5 %, 10 %, 15 %) and fly ash (RFA; 10 %, 20 %, 30 %). Test results show that reducing the W/B ratio of HSC will enhance the temperature of first heat peak by hydration. The increase of W/B decrease the appearance time of second heat peak, but increase the corresponding maximum temperature. Increase the RSF or decrease the RFA may decrease the appearance time of second heat peak and increase the maximum central temperature of slab. HSC slab with the range of W/B ratio of 0.25 to 0.40 may occur cracking within 4 hours after casting. Reducing W/B may lead to intensive cracking damage, such as more crack number, and larger crack width and length.

Direct-acting antivirals response in hepatocellular carcinoma: Does the presence of hepatocellular carcinoma matter?

Chung-Feng Huang,Ming-Lung Yu 대한간학회 2019 Clinical and Molecular Hepatology(대한간학회지) Vol.25 No.2

During the clinical trial development of directly acting antivirals (DAAs), evidence regarding the treatment efficacy in chronic hepatitis C patients with hepatocellular carcinoma (HCC) was scarce because these patients have always been excluded. Apart from the clinical trials, more HCC patients are currently being treated in daily practice, given that these treatments are highly effective and involve well-tolerated regimens. Large scale, real-world studies have demonstrated potentially suboptimal antiviral treatment efficacy in HCC patients who received DAAs. It is postulated that the impairment of the bioavailability of DAAs may account for the inferior treatment response. However, the results could not be generalized across all studies. The differing results were attributed to diverse patient characteristics, suboptimal regimens or imprecise definitions of active cancer statuses at the time of treatment initiation. Additional large-scale studies that utilize the treatment of choice in clearly defined HCC patients with different disease severities are warranted to clarify the issue.

Optimization of the Needle Punching Process for the Nonwoven Fabrics with Multiple Quality Characteristics by Grey-Based Taguchi Method

Kuo, Chung-Feng Jeffrey,Su, Te-Li,Tsai, Cheng-Ping The Korean Fiber Society 2007 Fibers and polymers Vol.8 No.6

This study is intended for finding out the optimal processing parameters for needle punching nonwoven fabrics in order to work out its maximal strength. Taguchi method together with grey relational analysis is employed to resolve the problem as regards multiple-quality optimization, and further discover the optimal combination of processing parameters for needle punching nonwoven fabrics. Firstly, orthogonal array $L_{18}(2^1{\times}3^7)$ is used to deal with the processing parameters that may exert influence over the manufacturing of needle punching nonwoven fabrics. Then grey relational analysis is applied to resolve the deficiency of Taguchi method that focus on single quality characteristic. Next, the response table of grey relational analysis is used to obtain the optimal combination of processing parameters for multiple quality characteristics. In the current experiment quality characteristic refers to the tensile strength and tear strength of the nonwoven fabrics. Additionally, signal-to-noise ratio (SN ratio) calculation and analysis of variance (ANOVA) can be adopted to explore the experimental results. Through ANOVA, the significant factors that exert comparatively significant influence over the quality characteristic of the needle punching nonwoven fabrics, that is, the control factors are determined so that the quality characteristic of the needle punching nonwoven fabrics can be effectively controlled. Finally, confirmation experiment is conducted within 95 % confidence interval to verify the experimental reliability and reproducibility.

Quercetin-mediated Cell Cycle Arrest and Apoptosis Involving Activation of a Caspase Cascade through the Mitochondrial Pathway in Human Breast Cancer MCF-7 Cells

Chu-Chung Chou,Jai-Sing Yang,Hsu-Feng Lu,Siu-Wan Ip,Chyi Lo,Chih-Chung Wu,Jing-Pin Lin,Nou-Ying Tang,Jing-Gung Chung,Ming-Jen Chou,Ying-Hock Teng,Dar-Ren Chen 대한약학회 2010 Archives of Pharmacal Research Vol.33 No.8

Dietary polyphenols have been correlated with a reduced risk of developing cancer. Quercetin (a natural polyphenolic compound) induced apoptosis in many human cancer cell lines, including breast cancer MCF-7 cells. However, the involvement of possible signaling pathways and the roles of quercetin in apoptosis are still undefined. The purpose of this study was to investigate the effects of quercetin on the induction of the apoptotic pathway in human breast cancer MCF-7 cells. When MCF-7 cells were treated with quercetin for 24 and 48 h and at various doses (10-175 μM), cell viability decreased significantly in time- and dose-dependent manners. Exposure of MCF-7 cells to 10-175 μM quercetin resulted in an approximate 90.25% decrease in viable cells. To explicate the mechanism underlying the antiproliferative effect of quercetin, cell cycle distribution and apoptosis in MCF-7 cells was investigated after exposure to 150 μM quercetin for 6-48 h. Quercetin caused a remarkable increase in the number of S phase (14.56%to 61.35%) and sub-G1 phase cells (0.1% to 8.32%) in a dose- and time-dependent manner. Quercetin caused S phase arrest by decreasing the protein expression of CDK2, cyclins A and B while increasing the p53 and p57 proteins. Following incubation with quercetin for 48 h, MCF-7 cells showed apoptotic cell death by the decreased levels of Bcl-2 protein and ΔΨ m and increased activations of caspase-6, -8 and -9. Moreover, quercetin increased the AIF protein released from mitochondria to nuclei and the GADD153 protein translocation from endoplasmic reticulum to the nuclei. These data suggested that quercetin may induce apoptosis by direct activation of the caspase cascade through the mitochondrial pathway in MCF-7 cells.

Self-organizing Map Network for Automatically Recognizing Color Texture Fabric Nature

Kuo, Chung-Feng Jeffrey,Kao, Chih-Yuan The Korean Fiber Society 2007 Fibers and polymers Vol.8 No.2

The method of recognizing color texture brought forth in the present study is to employ unsupervised learning network to automatically recognize the fabric type and the main texture types. Firstly, the color scanner is adopted to extract fabric image which is afterwards saved as the digital image. Secondly, CIE-Lab color model is taken to obtain the feature value and wavelet transform is utilized to display the texture of the fabric image. Thirdly, co-occurrence matrix is employed to figure out the feature values of the texture structure such as angular second moment, entropy, homogeneity, contrast. Finally, self-organizing map (SOM) network is used as the classifier. The experiment result shows that the study can automatically and accurately classify the fabric types (including shuttle-woven fabric, jersey fabric and non-woven fabric) and main texture type of the fabric (such as plain weave, twill weave, satin weave, single jersey, double jersey and non-woven fabric).

Optimization of Multiple Quality Characteristics for Polyether Ether Ketone Injection Molding Process

Kuo Chung-Feng Jeffrey,Su Te-Li The Korean Fiber Society 2006 Fibers and polymers Vol.7 No.4

This study examines multiple quality optimization of the injection molding for Polyether Ether Ketone (PEEK). It also looks into the dimensional deviation and strength of screws that are reduced and improved for the molding quality, respectively. This study applies the Taguchi method to cut down on the number of experiments and combines grey relational analysis to determine the optimal processing parameters for multiple quality characteristics. The quality characteristics of this experiment are the screws' outer diameter, tensile strength and twisting strength. First, one should determine the processing parameters that may affect the injection molding with the $L_{18}(2^1{\times}3^7)$ orthogonal, including mold temperature, pre-plasticity amount, injection pressure, injection speed, screw speed, packing pressure, packing time and cooling time. Then, the grey relational analysis, whose response table and response graph indicate the optimum processing parameters for multiple quality characteristics, is applied to resolve this drawback. The Taguchi method only takes a single quality characteristic into consideration. Finally, a processing parameter prediction system is established by using the back-propagation neural network. The percentage errors all fall within 2%, between the predicted values and the target values. This reveals that the prediction system established in this study produces excellent results.