• Journal of Korea Trade
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• v.23 no.4
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• pp.58-79
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• 2019

Purpose - This study focused on the effect of mobile app information system quality on re-use intention in the medical service trade, and examined how the Chinese, currently the main consumer of Korea's medical service trade, obtained information through mobile apps, and the status of satisfaction felt by experiencing medical services. Design/methodology - The survey period was from November 2018 to January 2019, and was conducted on Chinese who voluntarily experienced medical services. The collected data verified causality of the study model through the statistical program, SPSS.24. The results showed that the most popular medical institution through the medical service mobile app is dermatology, and the quality of the app's information system plays a mediating role in influencing re-use intention. Findings - Overall, the current trade in medical services is first accessed and acquired through mobile apps, and as a result, consumers revisit medical institutions according to the reliability of information. Comments and likes, another new form of the word of mouth that has greatly influenced revisiting in the past, are seen to be spreading through the app's medical information. Originality/value - The previous market for the medical services trade was formed by very conservative word of mouth, but now we believe that the app's information system actively influences the revisit effect. This means that apps can be used in diverse areas in the medical service trade market. In addition, the medical service market needs to further develop a mobile app environment that can reflect consumers' diverse needs, behaviors, and culture from time to time in order to revitalize the service trade. Such an app environment development will have tremendous promotional effects on the trade market and provide directions for expanding trade in medical services.

• Convergence Security Journal
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• v.11 no.3
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• pp.67-74
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• 2011

One of the major requisites for the success of the smart-TV is to create a circumstance where smart-TV app's are produced and purchased on a large scale. However, the smart TV app's may succeed only under the condition that the user interface of the smart TV is greatly evolved from the typical TV remote controller. Several equipments have been devised to tackle the problem of the poor user interface of the smart-TV; however, they are not satisfactory in the aspects that they usually increase the costs of TV-set and they do not help practically the app developers. The equipments are pre formed so that it is hard for the app developers to design their own user interface using them. In the paper, sMartUX, a method for developing the smart-TV app is introduced. sMartUX provides a new paradigm and development environment for designing, implementing, and operating the user interface of the smart TV app using a smart-phone. With sMartUX, app developers can design their own user interface using the various facilities of a smart-phone, and they need not to care the details of various smart-phones and how to launch their user interface onto a smart-phone.

• Journal of Life Science
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• v.22 no.12
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• pp.1608-1613
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• 2012

A conventional kinesin, KIF5/Kinesin-I, transports various cargoes along the microtubule through interaction between its light chain subunit and the cargoes. Kinesin light chains (KLCs) interact with many different cargoes using their tetratricopeptide repeat (TPR) domain, but the mechanism underlying recognition and binding of a specific cargo has not yet been completely elucidated. We used the yeast two-hybrid assay to identify proteins that interact with the TPR domain of KLC1. We found an interaction between the TPR domain of KLC1 and an amyloid precursor protein (APP)-binding protein PAT1 (protein interacting with APP tail 1). The yeast two-hybrid assay demonstrated that the TPR domain-containing region of KLC1 mediated binding to the C-terminal tail region of PAT1. PAT1 also bound to KLC2 but not to kinesin heavy chains (KIF5A, KIF5B, and KIF5C) in the yeast two-hybrid assay. These protein-protein interactions were also observed in the glutathione S-transferase (GST) pull-down assay and by co-immunoprecipitation. Anti-PAT1 antibody as well as anti-APP anti-body co-immunoprecipitated KLC and KHCs associated with PAT1 from mouse brain extracts. These results suggest that PAT1 could mediate interactions between Kinesin-I and APP containing vesicles.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1433-1442
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• 2018

This study develops and improves the EZ Touch App of the scorecard application (app) using the smartphone and the pad, and works with the customer management system (C/S). The research was conducted as follows. First, how do you handle the EZ Touch input method on a scorecard? Second, how to configure the platform of customer (member) management system (C/S) and data server system? Third, does EZ Touch App work organically with customer management system (C/S)? The developed EZ Touch is entered into the scorecard as an input method using the gesture as a result of this research, and it is linked with the C/S system to organize the review function, hall information function, field coaching function through score, It can be used for applications such as information management functions and statistics through differentiated statistics. However, there are some problems and improvements in user convenience in real time use. I think there is a need to study to solve this problem in the future. EZ Touch input method is input to the scorecard by inputting gesture of the finger as a result of this study, and it is linked with this, and it is possible to use differentiated statistics such as review function, hall information function, field coaching function, It is the purpose of the study to improve the technical competitiveness of the product by developing the application.

• Journal of Internet Technology
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• v.20 no.3
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• pp.827-838
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• 2019

The recent evolution of mobile devices and services have resulted in such plethora of mobile applications (apps) that users have difficulty finding the ones they wish to use in a given moment. We design an app recommendation system which predicts the app to be executed with high accuracy so that users are able to access their next app conveniently and quickly. We introduce the App-Usage Tracking Feature (ATF), a simple but powerful feature for predicting next app launches, which characterizes each app use from the sequence of previously used apps. In addition, our method can be implemented without compromising the user privacy since it is solely trained on the target user's mobile usage data and it can be conveniently implemented in the individual mobile device because of its less computation-intensive behavior. We provide a comprehensive empirical analysis of the performance and characteristics of our proposed method on real-world mobile usage data. We also demonstrate that our system can accurately predict the next app launches and outperforms the baseline methods such as the most frequently used apps (MFU) and the most recently used apps (MRU).

• Journal of Biomedical Engineering Research
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• v.35 no.6
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• pp.219-226
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• 2014

This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluate the function of the app. Suggested app contains chest compression feedback function, the map of automated external defibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone, we implemented a real-time algorithm that estimates the chest compression depth and rate for high quality cardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We made contents which were easy to learn the BLS for the layperson and implemented a function that provides the AED location information based on the user's current location. From the manikin experiment, the chest compression depth and rate were no significant differences between the manikin data and the app's feedback data (p > 0.05). Developed BLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learn the BLS for the layperson.

• Development and Reproduction
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• v.21 no.4
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• pp.417-424
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• 2017

Alzheimer's disease (AD) is neurodegenerative disease, characterized by the progressive decline of memory, cognitive functions, and changes in personality. The major pathological features in postmortem brains are neurofibrillary tangles and amyloid beta ($A{\beta}$) deposits. The majority of AD cases are sporadic and age-related. Although AD pathogenesis has not been established, aging and declining mitochondrial function has been associated. Mitochondrial dysfunction has been observed in AD patients' brains and AD mice models, and the mice with a genetic defect in mitochondrial complex I showed enhanced $A{\beta}$ level in vivo. To elucidate the role of mitochondrial complex I in AD, we used SH-SY5Y cells transfected with DNA constructs expressing human amyloid precursor protein (APP) or human Swedish APP mutant (APP-swe). The expression of APP-swe increased the level of $A{\beta}$ protein in comparison with control. When complex I was inhibited by rotenone, the increase of ROS level was remarkably higher in the cells overexpressing APP-swe compared to control. The number of dead cell was significantly increased in APP-swe-expressing cells by complex I inhibition. We suggest that complex I dysfunction accelerate amyloid toxicity and mitochondrial complex I dysfunction in aging may contribute to the pathogenesis of sporadic AD.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.118-125
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• 2021

This study's purpose is to examine the effects of mobile apps on learners' vocabulary acquisition and to analyze students' perceptions and opinions about the vocabulary app. To this end, this study set up a control group, which was given explicit instructions in the classroom by the instructor and an experimental group, which used a vocabulary app. The vocabulary acquisition test results suggested that the difference between the the two groups was insignificant. However, user satisfaction with regard to the mobile app was high, and the reasons given were the following: convenience, efficiency of memorizing, having fun while learning, and the app's interface. Based on these results, this study suggests that teachers should use mobile apps much more actively in classroom instruction, and encourge students to let apps play a more active role in their language studies.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.821-828
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• 2013

This paper proposed CHELS-App that Smart-phone APP optimized cultural heritage experiential learning is configured can learning and sightseeing at the same time with experience the cultural heritage and enjoying the mission through quests to take advantage of the Smart-phone. CHELS-App is provide a guide maps by using the location-based service and cultural commentary(commentary, photos, quizzes, games, cartoon) with capability of event push about the Jongmyo Shrine as world heritage, and configured with capability of experience diary create and foot stamp through these experiences.

• Journal of Fashion Business
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• v.15 no.5
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• pp.129-143
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• 2011

The purpose of this study is to classify fashion brand app types through current fashion brand app releases. To this end, this study used Internet Web, articles, newspapers, and existing studies on brand applications as well as the data that were analyzed after downloading the relevant brand app. Firstly, this study aimed to analyze rapidly growing smartphone market and brand app market situations and look into brand app's own characteristics from the corporate marketing perspective. In addition, the study divided the types into a basic information type and an additional information type by analyzing functions of 30 fashion brand apps. As the result, the basic information type contains product info, store info, fashion info, and coordination info. The additional information type contains entertainment, hobbies, life info, mutual experiences, and sharing services. According to the divided fashion brand app types, the goals of companies also can be divided as three. Firstly, the aim is to expand sales, secondly to improve brand awareness, and lastly to build customer relationship. Consequently, companies will have to select brand app types suitable for their goals and provide to consumers.