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Search Results: 1 - 10 of 20483 matches for " Sanghyun Kim "
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Appropriation of Wireless Technology: Direct Impacting Factors on the Youth`s Adoption Intention and Usage of the Wireless Application Protocol Phone
Sanghyun Kim
Information Technology Journal , 2008,
Abstract: The main purpose of this study is to suggest a research model that empirically investigates factors impacting the youth`s adoption intention and usage of wireless technology. More people are turning to wireless technology as similar trend as when PC was introduced to the market. Most of the wireless technologies are initially used for business purposes. Now, these technologies are more common for our daily-life reasons for various purposes, such as communication, information surfing, protection, etc. Particularly, the youth`s adoption of the Wireless Application Protocol (WAP) phone has rapidly increased. Unlike adults, the youth have different reasons of using a WAP phone. However, a study on the adoption of a WAP phone using the youth as a study subject is a scant. Therefore, this study suggests a research model empirically investigating factors impacting the youth`s adoption intention and usage of wireless technology; WAP phone in this study. The research model was developed based on the well-known Technology acceptance model and adds new additions and casual relations, such as Perceived safety, Enjoyment and Peer influence. The data, collected from 327 subjects, were tested against the model. The results of the study showed that all variables in the research model had a significant influence on other variables. The implications of the findings suggest a new theoretical framework for future IS/IT research and offer suggestions that the marketer of wireless technology should consider regarding the technology.
Determinants Influencing Individuals’ Likelihood of Adopting and Actual use of Blueberry
Sanghyun Kim,Youngmi Song
Journal of Applied Sciences , 2009,
Abstract: The main purpose of this study is to empirically examine the research model attempting to explain factors influencing individuals’ adoption intention and actual use of blueberry. The proposed research model suggests three external characteristics-economic, social and technological characteristics that affect the likelihood of blueberry adoption, which then leads to actual use of the technology. Each characteristic includes variables, such as policies, income, peer influence, safety concerns, various services, ubiquity and cost savings. Two hundred and eighty nine responses were collected in order to test the proposed model. The results of the study revealed that all variables had a significant impact on the likelihood of blueberry adoption, as well as actual use of the technology. The implications of the findings suggest a new theoretical framework for further research on wireless technology adoption and offer suggestions that the marketers and wireless service providers should consider with respect to blueberry.
Determinants Influencing Consumers’ Trust and Trust Performance of Social Commerce and Moderating Effect of Experience
Sanghyun Kim,Mi-Jin Noh
Information Technology Journal , 2012,
Abstract: The main purpose of this study is to investigate the effects of various antecedents of trust in Social commerce (s-commerce) (reputation, size, information quality and communication) on consumers’ trust. In addition, the study examines the moderating effects of consumers’ s-commerce experience on the relationships between these trust antecedents and trust and the effect of trust on trust performance. The results based on a sample of 466 s-commerce users and structural equation modeling with SmartPLS 2.0 indicate significant effects of all trust antecedents; significant moderating effects of consumers’ s-commerce experience and a positive effect of trust on trust performance and suggest a new theory for IS research. In addition, the results have important implications for s-commerce firms wishing to develop consumers’ trust as well as effective business models.
Development of Theory of Mind Stimuli in Magnetoencephalography for Nursing Evaluation
Sungwon Park,Sanghyun Lim,Kiwoong Kim
International Journal of Signal Processing, Image Processing and Pattern Recognition , 2009,
Abstract: We introduce the development of animation stimuli for theory of mind (ToM) in magnetoencepalography (MEG). We will discuss apparatus for presenting animation stimuli and a technical problem like an eye movement signal generated from following triangles in the animations, and its rejection using independent component analysis (ICA). With the ToM animations and the apparatus, we conducted MEG measurements for 8 normal controls and 6 schizophrenic patients. We present a preliminary assessment result for the developed animation stimuli as a tool for ToM test, which has been obtained by scoring in the followingup interview after the MEG measurement.
Analysis of apigenin in Blumea balsamifera Linn DC. and its inhibitory activity against aldose reductase in rat lens  [PDF]
Dong Gu Lee, So-Youn Mok, Changsun Choi, Eun Ju Cho, Hyun Young Kim, Sanghyun Lee
Journal of Agricultural Chemistry and Environment (JACEN) , 2012, DOI: 10.4236/jacen.2012.11005
Abstract: To investigate the therapeutic potentials of na- tural sources, stepwise polarity fractions of Blumea balsamifera were tested for their ability to inhibit aldose reductase (AR) activity in rat lenses. Of these, the ethyl acetate (EtOAc) fraction exhibited a unique AR inhibitory activity (IC50 value, 0.11 μg/mL). Apigenin was identified from the active EtOAc fraction and exhibited high AR inhibitory activity (IC50 value, 4.03 μM). The content of apigenin was measured in B. balsamifera (0.47 mg/g) by HPLC/UV analysis. Our result suggests that B. balsamifera could be a useful natural source for the development of a novel AR inhibitory agent against diabetic complications.


Effects of Antecedents of Collectivism on Consumers’ Intention to Use Social Commerce
Sanghyun Kim,Mi-Jin Noh,Kyung-Tag Lee
Journal of Applied Sciences , 2012,
Abstract: Social commerce (s-commerce), a subset of electronic commerce (e-commerce), involves social interactions and user contributions and facilitates the online buying and selling of a wide range products and services. Given that s-commerce encourages consumers to share product- and service-related information, it reflects collectivism, not individualism. Using the Technology Acceptance Model (TAM), this study employs the Structural Equation Modeling (SEM) method to investigate a research model incorporating consumers’ preferences, reliance, concern and norm acceptance as antecedents of collectivism. The results of a survey of 365 s-commerce users indicate that preferences, reliance and norm acceptance had significant effects on the perceived usefulness of s-commerce. In addition, the goodness-of-fit results indicate that collectivism and perceived ease of use accounted for 65.7% of the variance in the perceived usefulness of s-commerce. This study contributed to the literature by providing useful insights into the factors influencing consumers’ decision to adopt s-commerce.
Integrative Gene Network Construction to Analyze Cancer Recurrence Using Semi-Supervised Learning
Chihyun Park, Jaegyoon Ahn, Hyunjin Kim, Sanghyun Park
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0086309
Abstract: Background The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses only a few labeled samples. Semi-supervised learning can be a great alternative to solve this problem. There have been few attempts based on manifold assumptions to reveal the detailed roles of identified cancer genes in recurrence. Results In order to predict cancer recurrence, we proposed a novel semi-supervised learning algorithm based on a graph regularization approach. We transformed the gene expression data into a graph structure for semi-supervised learning and integrated protein interaction data with the gene expression data to select functionally-related gene pairs. Then, we predicted the recurrence of cancer by applying a regularization approach to the constructed graph containing both labeled and unlabeled nodes. Conclusions The average improvement rate of accuracy for three different cancer datasets was 24.9% compared to existing supervised and semi-supervised methods. We performed functional enrichment on the gene networks used for learning. We identified that those gene networks are significantly associated with cancer-recurrence-related biological functions. Our algorithm was developed with standard C++ and is available in Linux and MS Windows formats in the STL library. The executable program is freely available at: http://embio.yonsei.ac.kr/~Park/ssl.php.
Isolation and identification of alkaloids and anthocyanins from flower and bulb of Lycoris radiata using HPLC and LC-ESI-MS  [PDF]
Jin-Hyuk Chun, In Hyuk Jang, Mariadhas Valan Arasu, Naif Abdullah Al-Dhabi, Veeramuthu Duraipandiyan, Dong-Hoon Lee, Sanghyun Lee, Sun-Ju Kim
Journal of Agricultural Chemistry and Environment (JACEN) , 2013, DOI: 10.4236/jacen.2013.21004
Abstract: Three anthocyanins (cyanidin 3-diglucoside, cyanidin 3-sambubioside and cyanidin 3-glucoside) together with eleven known alkaloids (lycoricidine, hipppeastrine,O-Demethyllycoramin, lycoricidinol, galanthine, lycorine, lycorenine, lycoramine, galanthamine, homolycorine and pretazettine) were identified in the flower and bulb of Lycoris radiata using high-performance liquid chromatography coupled with UV detection and electrospray ionization mass spectrometry. Anthocyanins play a major role in protecting plant’s DNA from the UV spectrum of sunlight and also in attracting insects for the purpose of pollination. Thus, knowledge on the contents and types of anthocyanins of L. radiata will help to evaluate the adaptive evolution of flowers and provide useful information for the ornamental breeding.
Incidence and Clinical Characteristics of Deep Vein Thrombosis (DVT) after Total Knee Arthroplasty (TKA) with DVT Chemoprophylaxis  [PDF]
Yong Sung Won, Mihyeong Kim, Kang Woong Jun, Woo Seok Nam, Sanghyun Ahn, Jeong-Kye Hwang, Sang-Dong Kim, Sun-Cheol Park, Sang Seob Yun, Won-Chul Lee, Jang-Sang Park, Jang Yong Kim
World Journal of Cardiovascular Diseases (WJCD) , 2014, DOI: 10.4236/wjcd.2014.411064
Abstract: Objective: Deep vein thrombosis (DVT) after total knee arthroplasty (TKA) is very common and leading cause of death due to this procedure. The objective of this study was to investigate the incidence and clinical characteristics of DVT after TKA with DVT chemoprophylaxis. Methods: This is a prospective cohort study in single institution. The patients received postoperative DVT chemoprophylaxis (low molecular weight heparin (LMWH) or Fondaparinux), followed by duplex ultrasonography to check for DVT 1 - 2 weeks after TKA. The clinical characteristics were summarized and analysed by chi-square test and regression analysis. Results: Five hundred and thirty four patients were enrolled from January 2007 to December 2010. DVT chemoprophylaxis was administered in 524 (98.1%) of the 534 patients. DVT occurred in 9 subjects (1.69%); 8 subjects had DVT in the leg, and 1 subject had a pulmonary embolism. Among them, asymptomatic DVT was observed in 5 patients (0.94%). Univariate analysis showed that surgical methods (revision, P = 0.0007), body mass index (BMI) (>25, P = 0.0028), low platelet count (less than 150 × 103, P = 0.0219), time in the intensive care unit (ICU) (P < 0.0001), no administration of prophylactic LMWH (P = 0.0392), and a history of DVT (P < 0.0001) were significant risk factors of DVT. Conclusions: The incidence of DVT was 1.69% after TKA with prophylactic antithrombotic therapy. Revision surgery, BMI, low platelet count, time in ICU, absence of prophylactic LMWH and history of DVT were significant risk factors of DVT.
Human Cytomegalovirus Clinical Strain-Specific microRNA miR-UL148D Targets the Human Chemokine RANTES during Infection
Youngkyun Kim equal contributor,Sanghyun Lee equal contributor,Sungchul Kim,Donghyun Kim,Jin-Hyun Ahn,Kwangseog Ahn
PLOS Pathogens , 2012, DOI: 10.1371/journal.ppat.1002577
Abstract: The human cytomegalovirus (HCMV) clinical strain Toledo and the attenuated strain AD169 exhibit a striking difference in pathogenic potential and cell tropism. The virulent Toledo genome contains a 15-kb segment, which is present in all virulent strains but is absent from the AD169 genome. The pathogenic differences between the 2 strains are thought to be associated with this additional genome segment. Cytokines induced during viral infection play major roles in the regulation of the cellular interactions involving cells of the immune and inflammatory systems and consequently determine the pathogenic outcome of infection. The chemokine RANTES (Regulated on activation, normal T-cell expressed and secreted) attracts immune cells during inflammation and the immune response, indicating a role for RANTES in viral pathogenesis. Here, we show that RANTES was downregulated in human foreskin fibroblast (HFF) cells at a later stage after infection with the Toledo strain but not after infection with the AD169 strain. miR-UL148D, the only miRNA predicted from the UL/b' sequences of the Toledo genome, targeted the 3′-untranslated region of RANTES and induced degradation of RANTES mRNA during infection. While wild-type Toledo inhibited expression of RANTES in HFF cells, Toledo mutant virus in which miR-UL148D is specifically abrogated did not repress RANTES expression. Furthermore, miR-UL148D-mediated downregulation of RANTES was inhibited by treatment with a miR-UL148D-specific inhibitor designed to bind to the miR-UL148D sequence via an antisense mechanism, supporting the potential value of antisense agents as therapeutic tools directed against HCMV. Our findings identify a viral microRNA as a novel negative regulator of the chemokine RANTES and provide clues for understanding the pathogenesis of the clinical strains of HCMV.
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