• Restorative Dentistry and Endodontics
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• v.26 no.6
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• pp.451-463
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• 2001

목적 - Inflammatory cytokine으로 알려진 interleukin 1$\beta$, tumor necrosis factor $\alpha$는 치수 및 치근단질환에서 주요한 역할을 하며, 골흡수를 자극하고 골형성을 방해하는 것으로 알려져 왔다. 이들 cytokine은 주로 단핵세포/대식세포가 형성하는 것으로 알려져 왔으나 최근 연구에 의하면, PMN도 또한 이 런 cytokine들을 형성할 수 있다는 것이 보고되었다. 오랫동안 염증반응이나 면역반응에서 PMN의 역할이 주로 포식작용 을 통해 병원균을 제거하는 것이라고만 생각되어져 왔던 것을 생각하면, 새로운 발견이라 할 수 있다. 또, PMN은 IL-1ra도 생성하는 것으로 보고되었는데, IL-1ra란 IL-1의 생물학적 작용을 방해하는 인자이므로, IL-1과 밀접한 관련을 가지는 질환의 발전에 있어서 IL-1과 IL-1ra의 balance가 매우 중요한 역할을 할 것으로 생각된다 즉, IL-1ra는 IL-1$\beta$의 proinflammatory effect를 제한할 수 있는 negative feedback mechanism이라고 할 수 있다. 이 연구의 목적은 치수 및 치근단 조직의 감염에 있어서 주요 원인균인 Porphyromonas endodontalis의 LPS가 PMN의 IL-1$\beta$, TNF-$\alpha$, IL-1ra생성에 미치는 영향을 단백질과 mRNA 수준에서 관찰하는 것이다. 잘 알려진 non-oral bacterium인 E. coli의 LPS를 positive control로 사용하였으며, IL-1ra가 IL-1$\beta$의 생물학적 작용을 방해하는 작용을 관찰하기 위해, IL-1의 biological assay도 시행하였다. 방법 - P. endodontalis ATCC 35406을 혐기성 조건에서 배양하고, hot phenol-water extraction의 방법으로 LPS를 추출(crude LPS)한 후, 제조회사로부터 구입한 E. coli의 crude LPS와 함께 정제하였다. 건강한 자원자들을 대상으로 말초혈액을 채취한 후 dextran sedimentaion을 거쳐 Lymphoprep을 이용하여 PMN층을 분리하였다. 얻어진 세포들은 RPMI 1640 (supplemented with fetal bovine serum antibiotics)에 5$\times$$10^{6}$cells/ml이 되도록 resuspend시킨 후 각기 다른 농도 (0, 0.01, 0.1, 1 and 10$\mu$g/ml)의 LPS를 처리하여, 각기 다른 시간(Northern blot : 1, 2, 4시간 ELISA : 2, 6, 12, 18시간)동안 37$^{\circ}C$ in 5% $CO_2$ 의 조건으로 배양하였다. 상층액은 -7$0^{\circ}C$에 보관하였다가 추후에 ELISA를 이용한 단백질 농도 측정과 IL-1 biological assay에 사용되어졌으며, 배양된 세포로부터 RNA를 추출하여 Northern hybridization을 통해 mRNA expression을 관찰하였다. (중략)

• Health Communication
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• v.12 no.1
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• pp.97-110
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• 2017

Purpose: This study is an overview of the experiences of nurses who have participated in a communication education program which was designed to develop proper change-of-shift dialogues. The goal of this program was to improve the communication competencies of outgoing and incoming nurses during handover and takeover of their shifts. Methods: The materials used in this study to analyze the experiences qualitatively were transcripts from narrative interviews with seven nurse participants. The education program consisted of two rounds of change-of-shift simulations by pairs of nurses, planning of a forthcoming change-of-shift, three lectures on ideal dialogue patterns, and time for video feedback. Afterwards the participants' experiences of the program were evaluated generally, highlighting the positive and the negative aspects, and how this educational experiences might affect their future change-of-shift activities. Results: High practicability, originality, professionalism, and effectiveness were some of the positive assessments made by the nurse participants. In addition, they pointed out that the sample video in which two professors performed an ideal handover and takeover and the paper kardex were both quite unrealistic. The location of the change-of-shift simulation was also unfamiliar so it needed to be supplemented. However, most of the nurses took for granted that such a communication education program is necessary and that it will provide a substantial help in their future job performance. In this regard they recommended the program to all related hospitals and nursing schools. Conclusion: The results of this study could be applied to other forms of communication education programs regardless of the specific area where communication takes place.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.189-200
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• 2022

In today's digital world, smartphones and web-based applications have gained remarkable importance throughout the globe. These smart applications are playing a very significant role in maintaining a powerful business. As well as, they are helping a lot to expand these businesses via social networks. Social media networks such as Instagram, Facebook, Twitter, and LinkedIn are playing a prominent role to promote the companies. In the hospitality sector, most of the companies are running their hotel booking systems by utilizing mobile applications and a web-based infrastructure, but usability issues still exist. This study has been conducted specifically to tackle the usability issues of hotel booking systems and the best utilization of social networks to promote the business. TripAdvisor was selected as an authentic source for selecting those systems and two international hotels are selected for this study. The first step is to identify different hotel booking systems. In the second step, the user's satisfaction level was measured for the selected systems by performing the System Usability Scale (SUS, Quick & Dirty) approach. Additionally, by which source (social media or personal relations) they found these hotels. It is found that the SUS rating for both systems is below the acceptable level of usability. The Mean SUS for hotel 1 is found at 55.25 and 51.2 for hotel 2. The third step was to identify the user interface (UI) issues, and heuristic evaluation is performed for this. The experts identified the UI issues on the basis of their experience. The major issues were related to the visibility of system status, error prevention, flexibility and efficiency of use. Depending upon the identified issues, an interactive UI (prototype) for the selected web-based applications was proposed. This prototype is mainly based on the user's perspective. This prototype can be used for improving the UI of the selected systems which is based on the user's perspective. During the process of verifying the satisfaction level, it is revealed that the targeted audience is not able to use these systems efficiently and effectively. The reason behind this is the negligence of usability guidelines throughout the process of design and development of these hotel booking systems. Therefore, it is highly recommended that the usability of these systems should be evaluated and redesigned, based on expert opinions. It has also been observed that the reviews/ feedback of customers has spread a negative impact through social networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.245-271
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• 2023

The purpose of this study was to assess the perception of e-book subscription services among the digitally native generation in their twenties, who have a high e-book usage rate. This study employed a mixed-methods approach, combining survey responses and usability testing. It aimed to assess the awareness and usage of e-book subscription services among university students in their twenties, a demographic known for their high utilization of electronic devices and e-books. The survey was conducted among 202 university students, and the responses were categorized and examined based on whether they were users or non-users. As a result of the survey, I found there is different awareness of e-book between users and non-users, on the other hand, convenience and portability are the strong point of e-books for users and non-users commonly also. Usability testing was performed on a group of 10 university students in their twenties who had not previously used the 'Millies Library' application, which is renowned as the most widely-used e-book platform. Following the experiment, participants expressed positive feedback regarding various optional features, convenience, design, and cost-effectiveness. However, they also had negative reactions concerning touch errors, malfunctions, functional practicality, a lack of interest, system issues, and the absence of a library.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.101-106
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• 2023

In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.44-53
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• 2022

The purpose of this study is to plan and develop contents for training social skills using robots for elementary school students. Seven functions (guiding activity, providing reinforcement, guiding students behavior, team setting, presenting team order, timer setting, and checking scores) were developed by analyzing functions that robots can take charge of in the training contents. A total of 8 sessions of social skills training contents were developed by selecting social skills required for academic achievement and social interaction of elementary school students. The lesson consisted of providing positive and negative examples, modeling, role-playing, providing feedback on performance, and encouraging generalization stages using effective strategies for acquiring social skills. After developing social skills training contents using robots for elementary school students, so-called Friendly Friends (FF), a satisfaction survey was conducted on the field application of contents and participating students and teachers to examine the acceptance pattern. As a result, it was found that the participating students and teachers were satisfied with the contents. Finally, the meaning and the expected effects of the 'FF (Friendly Friends)' contents were discussed, and also, the matters to be considered when developing social skills training contents using robots in the future were suggested.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.343-348
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• 2023

This study attempted to verify and examine the effect of screen golf course service quality on reuse. A total of 300 copies were distributed, and a total of 247 copies were used for analysis, excluding 53 questionnaires with poor responses or many missing questions. Based on these results, the following implications were derived. First, screen golf course users were mainly used by friends, acquaintances, and social groups, and information was obtained through human and Internet, and empathy and reliability among service quality affected the reuse of screen golf courses. When users experience high-quality services, they have high satisfaction and high service quality, and they can increase the probability of forming loyalty and recommending and promoting them to people around them. However, experiencing poor quality services can disappoint customers and leave negative comments on people around them, which reduces the likelihood of reuse. Therefore, in order to increase the reuse of golf courses, quality management, customer opinions and feedback must be accepted, and problems must be dealt with quickly to improve the quality of services and provide services that satisfy customers. Second, although the types, responsiveness, and certainty of sub-factors of screen golf course service quality were not significant in this study, management strategies should be used to increase survival in the highly competitive screen golf industry and reuse them by providing differentiated services.

• International Journal of Stem Cells
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• v.16 no.3
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• pp.342-355
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• 2023

Background and Objectives: Osteoblasts are derived from bone marrow mesenchymal stem cells (BMMSCs) and play important role in bone remodeling. While our previous studies have investigated the cell subtypes and heterogeneity in osteoblasts and BMMSCs separately, cell-to-cell communications between osteoblasts and BMMSCs in vivo in humans have not been characterized. The aim of this study was to investigate the cellular communication between human primary osteoblasts and bone marrow mesenchymal stem cells. Methods and Results: To investigate the cell-to-cell communications between osteoblasts and BMMSCs and identify new cell subtypes, we performed a systematic integration analysis with our single-cell RNA sequencing (scRNA-seq) transcriptomes data from BMMSCs and osteoblasts. We successfully identified a novel preosteoblasts subtype which highly expressed ATF3, CCL2, CXCL2 and IRF1. Biological functional annotations of the transcriptomes suggested that the novel preosteoblasts subtype may inhibit osteoblasts differentiation, maintain cells to a less differentiated status and recruit osteoclasts. Ligand-receptor interaction analysis showed strong interaction between mature osteoblasts and BMMSCs. Meanwhile, we found FZD1 was highly expressed in BMMSCs of osteogenic differentiation direction. WIF1 and SFRP4, which were highly expressed in mature osteoblasts were reported to inhibit osteogenic differentiation. We speculated that WIF1 and sFRP4 expressed in mature osteoblasts inhibited the binding of FZD1 to Wnt ligand in BMMSCs, thereby further inhibiting osteogenic differentiation of BMMSCs. Conclusions: Our study provided a more systematic and comprehensive understanding of the heterogeneity of osteogenic cells. At the single cell level, this study provided insights into the cell-to-cell communications between BMMSCs and osteoblasts and mature osteoblasts may mediate negative feedback regulation of osteogenesis process.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.59-70
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• 2018

With the breakthrough of speech recognition technology, conversational agents have become pervasive through smartphones and smart speakers. The recognition accuracy of speech recognition technology has developed to the level of human beings, but it still shows limitations on understanding the underlying meaning or intention of words, or understanding long conversation. Accordingly, the users experience various errors when interacting with the conversational agents, which may negatively affect the user experience. In addition, in the case of smart speakers with a voice as the main interface, the lack of feedback on system and transparency was reported as the main issue when the users using. Therefore, there is a strong need for research on how users can better understand the capability of the conversational agents and mitigate negative emotions in error situations. In this study, we applied social strategies, "forewarning" and "apology", to conversational agent and investigated how these strategies affect users' perceptions of the agent in breakdown situations. For the study, we created a series of demo videos of a user interacting with a conversational agent. After watching the demo videos, the participants were asked to evaluate how they liked and trusted the agent through an online survey. A total of 104 respondents were analyzed and found to be contrary to our expectation based on the literature study. The result showed that forewarning gave a negative impression to the user, especially the reliability of the agent. Also, apology in a breakdown situation did not affect the users' perceptions. In the following in-depth interviews, participants explained that they perceived the smart speaker as a machine rather than a human-like object, and for this reason, the social strategies did not work. These results show that the social strategies should be applied according to the perceptions that user has toward agents.