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      • KCI등재

        Using Multidetector-Row CT for the Diagnosis of Afferent Loop Syndrome Following Gastroenterostomy Reconstruction

        Yu-Hsiu Juan,Wei-Chou Chang,Chih-Yung Yu,Hsian-He Hsu,Guo-Shu Huang,De-Chuan Chan,Chang-Hsien Liu,Ho-Jui Tung 연세대학교의과대학 2011 Yonsei medical journal Vol.52 No.4

        Purpose: To assess the clinical manifestations and multidetector-row computed tomography (MDCT) findings of afferent loop syndrome (ALS) and to determine the role of MDCT on treatment decisions. Materials and Methods: From January 2004 to December 2008, 1,100 patients had undergone gastroenterostomy reconstruction in our institution. Of these, 22 (2%) patients were diagnosed as ALS after surgery that included Roux-en-Y gastroenterotomy (n=9), Billroth-II gastrojejunostomy (n=7), and Whipple’s operation (n=6). Clinical manifestations and MDCT features of these patients were recorded and statistically analyzed. The presumed etiologies of obstruction shown on the MDCT were correlated with clinical information and confirmed by surgery or endoscopic biopsy. Results: The most common clinical symptom was acute abdominal pain, presenting in 18 patients (82%). We found that a fluid-filled C-shaped afferent loop in combination with valvulae conniventes projecting into the lumen was the most common MDCT features of ALS. Malignant causes of ALS, such as local recurrence and carcinomatosis, are the most common etiologies of obstruction. These etiologies and associated complications can be predicted 100% by MDCT. Conclusion: Our results suggest that MDCT is a reliable modality for assessing the etiologies of ALS and guiding treatment decisions.

      • Factors Related to Treatment Refusal in Taiwanese Cancer Patients

        Chiang, Ting-Yu,Wang, Chao-Hui,Lin, Yu-Fen,Chou, Shu-Lan,Wang, Ching-Ting,Juang, Hsiao-Ting,Lin, Yung-Chang,Lin, Mei-Hsiang Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.8

        Background: Incidence and mortality rates for cancer have increased dramatically in the recent 30 years in Taiwan. However, not all patients receive treatment. Treatment refusal might impair patient survival and life quality. In order to improve this situation, we proposed this study to evaluate factors that are related to refusal of treatment in cancer patients via a cancer case manager system. Materials and Methods: This study analysed data from a case management system during the period from 2010 to 2012 at a medical center in Northern Taiwan. We enrolled a total of 14,974 patients who were diagnosed with cancer. Using the PRECEDE Model as a framework, we conducted logistic regression analysis to identify independent variables that are significantly associated with refusal of therapy in cancer patients. A multivariate logistic regression model was also applied to estimate adjusted the odds ratios (ORs) with 95% confidence intervals (95%CI). Results: A total of 253 patients (1.69%) refused treatment. The multivariate logistic regression result showed that the high risk factors for refusal of treatment in cancer patient included: concerns about adverse effects (p<0.001), poor performance(p<0.001), changes in medical condition (p<0.001), timing of case manager contact (p=.026), the methods by which case manager contact patients (p<0.001) and the frequency that case managers contact patients (${\geq}10times$) (p=0.016). Conclusions: Cancer patients who refuse treatment have poor survival. The present study provides evidence of factors that are related to refusal of therapy and might be helpful for further application and improvement of cancer care.

      • INVESTIGATING THE DEVELOPMENT OF BRAND LOYALTY IN BRAND COMMUNITIES FROM A POSITIVE PSYCHOLOGY PERSPECTIVE

        Chia-Wu Lin,Kai-Yu Wang,Shu-Hao Chang,Jin-An Lin 글로벌지식마케팅경영학회 2016 Global Marketing Conference Vol.2016 No.7

        Brand communities have been increasingly used by marketers to build brands. A brand community can be defined as a “…group of consumers with a shared enthusiasm for the brand and a well-developed social identity, whose members engage jointly in group actions to accomplish collective goals and/or express mutual sentiments and commitments” (Bagozzi and Dholakia, 2006, p. 45). Recent research on brand communities has begun to identify the importance of consumers’ psychological processes in regard to developing successful brand communities. Based on the flow theory from positive psychology, we propose that flow could be generated by brand community characteristics and plays an important role in influencing brand community members’ attitudes toward the brand. Specifically, we propose a model that identifies brand community characteristics (i.e., community cohesiveness and information quality) that produce flow experience and how the flow experience impacts brand identification and brand loyalty. Members from 31 automobile brand communities participated in this survey study, and 580 validated questionnaires were returned. Structural Equation Model was used to test the research hypotheses. The results show that community cohesiveness and information quality positively directly influence brand identification and also indirectly influence brand identification via flow. Flow also positively influences members’ brand identification and, subsequently, impacts brand loyalty. The results from our research contribute to the branding, brand community, and flow theory literature.

      • KCI등재

        Multislice CT Scans in Patients on Extracorporeal Membrane Oxygenation: Emphasis on Hemodynamic Changes and Imaging Pitfalls

        Kao-Lang Liu,Yu-Feng Wang,Yeun-Chung Chang,Shu-Chien Huang,Shyh-Jye Chen,Yuk-Ming Tsang,Chin-Chen Chang 대한영상의학회 2014 Korean Journal of Radiology Vol.15 No.3

        This pictorial review provides the principles of extracorporeal membrane oxygenation (ECMO) support and associated CT imaging features with emphasis on the hemodynamic changes and possible imaging pitfalls encountered. It is important that radiologists in ECMO centers apply well-designed imaging protocols and familiarize themselves with post-contrast CT imaging findings in patients on ECMO.

      • KCI등재

        Dextromethorphan Protect the Valproic Acid Induced Downregulation of Neutrophils in Patients with Bipolar Disorder

        Ru-Band Lu,Yun-Hsuan Chang,Sheng-Yu Lee,Tzu-Yun Wang,Shu-Li Cheng,Po See Chen,Yen Kuang Yang,Jau-Shyong Hong,Shiou-Lan Chen 대한정신약물학회 2020 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.18 No.1

        Objective: Valproic acid (VPA) is an anticonvulsant and commonly long term used as a mood stabilizer for patients with mood disorders. However its chronic effects on the hematological changes were noticed and need to be further evaluated. In this study, we evaluated, in Taiwanese Han Chinese patients with bipolar disorders (BD), the chronic effects of VPA or VPA plus dextromethorphan (DM) on the hematological molecules (white blood cell [WBCs], red blood cells [RBCs], hemoglobin, hematocrit, and platelets). Methods: In a 12-week, randomized, double-blind study, we randomly assigned BD patients to one of three groups: VPA plus either placebo (VPA+P, n = 57) or DM (30 mg/day, VPA+DM30, n = 56) or 60 mg/day (VPA+DM60, n = 53). The Young Mania Rating Scale and Hamilton Depression Rating Scale were used to evaluate symptom severity, and the hematological molecules were checked. Results: Paired t test showed that the WBC, neutrophils, platelets and RBCs were significantly lowered after 12 weeks of VPA+P or VPA+DM30 treatment. VPA+DM60 represented the protective effects in the WBCs, neutrophils, and RBCs but not in the platelets. We further calculated the changes of each hematological molecules after 12 weeks treatment. We found that combination use of DM60 significantly improved the decline in neutrophils induced by the long-term VPA treatment. Conclusion: Hematological molecule levels were lower after long-term treatment with VPA. VPA+DM60, which yielded the protective effect in hematological change, especially in the neutrophil counts. Thus, DM might be adjunct therapy for maintaining hematological molecules in VPA treatment.

      • SCIESCOPUSKCI등재

        Platelet-Derived Growth Factor Receptor-α Subunit Targeting Suppresses Metastasis in Advanced Thyroid Cancer In Vitro and In Vivo

        ( Ching-ling Lin ),( Ming-lin Tsai ),( Yu-hsin Chen ),( Wei-ni Liu ),( Chun-yu Lin ),( Kai-wen Hsu ),( Chien-yu Huang ),( Yu-jia Chang ),( Po-li Wei ),( Shu-huey Chen ),( Li-chi Huang ),( Chia-hwa Lee 한국응용약물학회 2021 Biomolecules & Therapeutics(구 응용약물학회지) Vol.29 No.5

        Thyroid cancer is the most common endocrine malignancy. Patients with well-differentiated thyroid cancers, such as papillary and follicular cancers, have a favorable prognosis. However, poorly differentiated thyroid cancers, such as medullary, squamous and anaplastic advanced thyroid cancers, are very aggressive and insensitive to radioiodine treatment. Thus, novel therapies that attenuate metastasis are urgently needed. We found that both PDGFC and PDGFRA are predominantly expressed in thyroid cancers and that the survival rate is significantly lower in patients with high PDGFRA expression. This finding indicates the important role of PDGF/PDGFR signaling in thyroid cancer development. Next, we established a SW579 squamous thyroid cancer cell line with 95.6% PDGFRA gene insertion and deletions (indels) through CRISPR/Cas9. Protein and invasion analysis showed a dramatic loss in EMT marker expression and metastatic ability. Furthermore, xenograft tumors derived from PDGFRA geneedited SW579 cells exhibited a minor decrease in tumor growth. However, distant lung metastasis was completely abolished upon PDGFRA gene editing, implying that PDGFRA could be an effective target to inhibit distant metastasis in advanced thyroid cancers. To translate this finding to the clinic, we used the most relevant multikinase inhibitor, imatinib, to inhibit PDGFRA signaling. The results showed that imatinib significantly suppressed cell growth, induced cell cycle arrest and cell death in SW579 cells. Our developed noninvasive apoptosis detection sensor (NIADS) indicated that imatinib induced cell apoptosis through caspase-3 activation. In conclusion, we believe that developing a specific and selective targeted therapy for PDGFRA would effectively suppress PDGFRA-mediated cancer aggressiveness in advanced thyroid cancers.

      • KCI등재

        Optimization of Triple Response Systems by Using the Dual Response Approach and the Hooke-Jeeves Search Method

        Shu-Kai S. Fan,Chia-Fen Huang,Ko-Wei Chang,Yu-Chiang Chuang 대한산업공학회 2010 Industrial Engineeering & Management Systems Vol.9 No.1

        This paper presents an extended computing procedure for the global optimization of the triple response system (TRS) where the response functions are nonconvex (nonconcave) quadratics and the input factors satisfy a radial region of interest. The TRS arising from response surface modeling can be approximated using a nonlinear mathematical program involving one primary (objective) function and two secondary (constraints) functions. An optimization algorithm named triple response surface algorithm (TRSALG) is proposed to determine the global optimum for the nondegenerate TRS. In TRSALG, the Lagrange multipliers of target (secondary) functions are computed by using the Hooke-Jeeves search method, and the Lagrange multiplier of the radial constraint is located by using the trust region (TR) method at the same time. To ensure global optimality that can be attained by TRSALG, included is the means for detecting the degenerate case. In the field of numerical optimization, as the family of TR approach always exhibits excellent mathematical properties during optimization steps, thus the proposed algorithm can guarantee the global optimal solution where the optimality conditions are satisfied for the nondegenerate TRS. The computing procedure is illustrated in terms of examples found in the quality literature where the comparison results with a gradient-based method are used to calibrate TRSALG.

      • SCIESCOPUSKCI등재

        The Porcine FoxO1, FoxO3a and FoxO4 Genes: Cloning, Mapping, Expression and Association Analysis with Meat Production Traits

        Yu, Jing,Zhou, Quan-Yong,Zhu, Meng-Jin,Li, Chang-Chun,Liu, Bang,Fan, Bin,Zhao, Shu-Hong Asian Australasian Association of Animal Productio 2007 Animal Bioscience Vol.20 No.5

        FoxO1, FoxO3a and FoxO4 belong to the FoxO gene family, which play important roles in the PI3K/PKB pathway. In this study, we cloned the porcine FoxO1, FoxO3a and FoxO4 sequences and assigned them to SSC11p11-15, SSC1p13 and SSC xq13 using somatic cell hybrid panel (SCHP) and radiation hybrid panel (IMpRH). RT-PCR results showed that these three genes are expressed in multiple tissues. Sequencing of PCR products from different breeds identified a synonymous T/C polymorphism in exon 2 of FoxO3a. This FoxO3a single nucleotide polymorphism (SNP) can be detected by AvaII restriction enzyme. The allele frequencies of this SNP were investigated in Dahuabai, Meishan, Tongcheng, Yushan, Large White, and Duroc pigs. Association of the genotypes with growth and carcass traits showed that different genotypes of FoxO3a were associated with carcass length and backfat thickness between 6th and 7th ribs (BTR) and drip loss (p<0.05).

      • KCI등재

        Multi-Phase MPCA Modeling and Application Based on an Improved Phase Separation Method

        Shu Wang,Yu-Qing Chang,Zhen Zhao,Fu-Li Wang 제어·로봇·시스템학회 2012 International Journal of Control, Automation, and Vol.10 No.6

        Regarding the multi-phase characteristic of batch process, a new phase separation method is developed in this paper. The method realizes a 3-step sub-phase separation of the batch process using the retained principal components number, loading matrixes and principal component matrixes, which can adequately reflect the features variation of the process. In line with the different features and clas-sification step, automatic identification of ‘burrs’ and transition phases has been expounded. The pro-posed method can directly separate the stable phases and transition phases in the batch process, and deduce high-precision transition phase models. Based on the proposed method, the MPCA modeling and online monitoring is applied in the injection molding process. The experimental results have veri-fied the effectiveness of the proposed method.

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