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Thanks to China's economic development, the food service industry and franchise industry have combined to serve a huge market, and alterations continue to take place, such as the changing tastes of Chinese people and the changing food culture. Global franchise companies centered in the US are rapidly making inroads into the market, and Chinese local companies are also making efforts to expand their influence. In particular, in this situation where trends are gradually changing due to the COVID-19 pandemic, we look at the trends of franchise headquarters, franchisees, employment, and operating profits for the past 10 years using information published by the National Statistical Office of China. As we examine the information, possibilities push through. In addition, we will look at the cases of domestic companies that have entered China, the conditions and plans for their activities there, and what companies planning to enter China in the future need to prepare for.

This study examined whether K-pop dance is qualified as an academic subject and how university students perceive K-pop dance as a liberal art subject. The survey was conducted with 138 students. Among the total of 138, 40 participants were male, and 53 participants were female. Fourteen(14) participants had experience with K-pop classes, and 124 participants did not have any experience with K-pop dance classes. According to the study, K-pop is a form of Korean culture that adds unique cultural and social characteristics to Koreans. It is in the cultural and art education category. In addition, K-pop dance is a socio-cultural phenomenon characterized by dance. However, K-pop dance is not qualified as an academic subject because it lacks theoretical foundations. The survey result also revealed that the students did not perceive that K-pop dance had personal, aesthetic, social, or educational value. They did not want to take a class if K-pop dance is offered as an academic subject in liberal art class. When analyzing the data by gender and experiences with dance classes, there was a difference based on gender in the two questions. In the case of females, they responded to having fun and joy from K-pop dance, while male respondents did not. Regarding the learners’ interest in K-pop dance class, female respondents were more optimistic about the learner interest than male respondents. In conclusion, K-pop dance is a sociocultural phenomenon, and many informal online courses are created daily, spreading everywhere. However, the status of K-pop dance as an academic area is not set up yet.

Purpose of the study To study the effects of teaching chamber music courses on the mental health of college students in music schools. The key to the results is as follows. There was a significant difference in the total level of mental health between the experimental and control classes after the experiment. The total level of mental health of male and female college students in the experimental class had significant differences after the experiment, respectively. There was no significant difference in the ten factors of scl-90 in the control class before and after the experiment, while there was a significant difference. in the ten factors of scl-90 in the experimental class before and after the experiment. The experimental teaching of chamber music courses improves the mental health level of female college students better than male college students. We have come to understand Teaching chamber music courses can significantly improve the mental health of college students in music schools.

In this study, we extracted sound waves that can improve psychological skills for volleyball players, investigated the changes that the application training of the extracted sound waves has on the brain waves of volleyball players, and the changes in brain waves are the psychological of volleyball players. The purpose of the research is to investigate the effect on technology. In order to achieve this purpose of the study, a total of 10 people from the experimental group and 10 from the control group were selected as the research subjects of university volleyball players with more than 5 years of volleyball experience. The experimental procedure was for the experimental group to listen to sound waves for more than 30 minutes at least 4 times a week for 12 weeks, and brain waves were measured 3 times before, during, and after. In addition, psychological skills were measured twice before and after. The measured data were subjected to t-test and two-way variance repeated measures analysis using SPSS 20.0. The results obtained through this process are as follows. First, as a result of analyzing the differences in psychological skills according to sound wave application training, there were statistically significant differences in goal setting and attention factors of the experimental group. Second, as a result of repeated measurement variance analysis at each time point according to the application of the sound wave application training program, it was found that alpha waves had a synergistic effect at the statistical significance level in the experimental group. Third, as a result of repeated measurement variance analysis at each time point according to the application of the sound wave application training program, it was found that the beta wave had a synergistic effect at the statistical significance level in the experimental group.

The purpose of this study is to examine the effects of sensory integration training on children with developmental delays. To achieve this goal, an educational experiment is conducted in five main areas: gross motor ability, fine motor ability, adaptive ability, language and social ability in children with developmental delay. The study subjects were children with developmental delays aged 3-6 years diagnosed at Beijing Institute of Pediatrics and Beijing Medical University and received sensory integration intervention and home-based training at the Golden Rain Forest Beijing Tongzhou Center from 2018 to 2021. According to the purpose of the analysis, the data collected are subjected to descriptive statistics using SPSS 21.0 statistical program, Two-way MANOVA analysis, and data analysis method of multivariate analysis is used to process the collected data. In addition, a total of 39 subjects were selected, including 19 children who received sensory integration training and 20 children who only received family training. The results show that the sensory integration training group outperformed the home training group in all aspects and developmental quotient, but the home training group also showed higher levels of significance for improvements in gross motor, fine motor and developmental quotient.

The effect on learning satisfaction was compared and analyzed according to the interaction of learners in non-face-to-face classes. 38 students enrolled in the Department of Chemistry Education at G University in Gyeongnam were selected for the study. As a result of analyzing the change in learning satisfaction according to learners' interactions, positive correlations between them were shown in non-face-to-face classes. The type of classes mainly consisted of non-face-to-face real-time classes, and despite the non-face-to-face classes environment, learners focused on classes and put a lot of effort to strengthen learning. Among learners' interactions, the effect of learner-content interaction on learning satisfaction was relatively the highest, while the effect of learner-learner interaction and learner-instructor interaction on learning satisfaction was low. It was found that learners' teaching-learning in non-face-to-face classes relied heavily on learning content, and interactions with fellow learners and instructors were very limited.

Since 2019, severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) has spread rapidly, infecting millions of people worldwide. On March 11, 2020, the World Health Organization declared coronavirus disease (COVID-19) a pandemic owing to the worldwide spread of SARS-CoV-2, which created an unprecedented burden on the global healthcare system. In this context, there are increasing concerns regarding co-infections with other respiratory viruses, such as the influenza virus. In this study, clinical data of patients infected with SARS‑CoV‑2 and other respiratory viruses were compared with patients infected with SARS‑CoV‑2 alone. The hematology and blood biochemistry results of 178 patients infected with SARS‑CoV‑2 , who were tested on admission, were retrospectively reviewed. In patients with SARS‑CoV‑2 and adenovirus co-infection, C-reactive protein levels were elevated on admission, whereas lactate dehydrogenase (LDH), prothrombin time, international normalized ratio, activated partial thromboplastin clotting time, and bilirubin values were all within the normal range. Moreover, patients with SARS‑CoV‑2 and human bocavirus co-infection had low LDH and high bilirubin levels on admission. These findings reveal the clinical features of respiratory virus and SARS‑CoV‑2 co-infections and support the development of appropriate approaches for treating patients with SARS-CoV-2 and other respiratory virus co-infections.

South Korea is in the limelight in the past decades as Korean universities races for internationalization. As the number of students studying abroad tremendously increasing, there has been a growing need for higher education institutions to understand international working students’ life satisfaction and sense of belonging. The aim of this research is to outline which determinants affects life satisfaction as mediated by sense of belonging. With the samples size of 102 respondents, the proposed research model was examined using structural equation modeling (SEM) and SPSS. Results show that all determinants (Recognition, Quality of Education, Experienced Difficulties in Public Service and Understanding Korean Language) were positively significant toward Sense of Belonging. Likewise sense of belonging holds the positive indirect significant effects of the four determinants to life satisfaction.

The ecological expression of art in modern society takes the harmonious developmental relationship between man and nature as an element and combines it with the various manifestations of painting as an expression of ecological artistic development. The necessary relationship for the harmonious development of nature is accurately articulated, and the ecological changes in people are expressed in integrated materials that inspire human reflection. In the pursuit of material pleasures, mankind is neglectful and indifferent to the environment. The development of composite painting in art and ecology is a process that more reveres the harmony between man and nature as well as satisfying the creative value of the work. After systematic evaluation and research, people have engaged in various structural forms of composite art painting development in the long history of art development, focusing on the integration of environmental and ecological culture.In the process of nature education going through development, the comprehensive practical development of nature education is enhanced and efforts are made to feel new ecological art ideas and new ways of valuing environmental protection. In this paper, an observational study of eco-art will be carried out, starting from the theory of hierarchical division and analyzing the contradictory relationship between man and nature. Recognize nature, understand it and feel it through eco-art painting. The analysis of the contradictory relationship between man and nature is combined with the identification of various types of information that give value to the environmental protection public, and the combination of ecological painting and nature art to achieve an upgrade of the environmental protection idea of the value of painting.

The purpose of this study was to analyzed the current status of the of the Virtual Reality-based education for healthcare students in Korea. Five databases (KoreaMed, KMbase, NDSL, KISS, KiSTi) were searched prior to July 2022. A total 10 articles met the inclusion criteria. 5 articles developed VR-based education contents and the other 5 articles were using vSim already developed as a VR education program and evaluated the effectiveness. As a result of this literature review, VR-based education program was found to be effective in improving the healthcare students’ competency. VR-based education program could be considered to improve the healthcare students’ clinical practice ability.

The Yellow River, one of the longest rivers in the world and the second longest river in the north of China, enjoys the reputation of "Mother River". In recent years, more and more researches have pointed to the traditional culture of the Yellow River Basin. The traditional sports of the Yellow River basin belong to the ancient culture of the Yellow River basin. We assume the responsibility in protection and inheritance. This paper from the coupling of tourism and traditional sports to unfold the study by using the methods of literature and data, logical analysis, expert interview methods and so on: 1. The development of tourism leads to the development of Chinese traditional sports. 2. Tourism can make traditional sports get around and promote them as a kind of culture. 3. Let more people know, understand and learn traditional sports culture in a comfortable way, so as to pave the way for the inheritance of traditional sports. The research results of this paper can provide theoretical basis for more research on the development and inheritance of traditional culture in the Yellow River Basin.

This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.

The educational environment of the era of age of uncertainty and human and disaster, where nothing is predictable, so it is bringing about many changes. The purpose of this study is to suggest the implications of Integrative arts therapy in the educational field of unpredictable times as a way to move the minds of people living in various educational changes. As for the research method, the characteristics of the integrative arts therapy shown in the previous studies were examined through the literature method, and then through the cases in the modern education environment practiced we propose three things. First, in the field of university education, students should have an integrative arts therapy approach in terms of teaching methods, and also, second, in order to recover from failure and frustration, continuous gratitude sharing training to discover and acknowledge positivity in the situation by changing perspectives should improve students' self-esteem and self-efficacy. Third, professors should play the role of facilitators and also coaches in knowledge transfer. Therefore the coaching process should be integrated into the process of sustainable education when the integrative arts therapy is approached from the pedagogical curriculum.

The purpose of this study is to investigate the effect of the national image on the intention to repurchase Korean cosmetics products from the perspective of consumers. This study investigated the effect of the Korean national image on the repurchase intention through the perceived quality and eco-friendly product image for Mongolian consumers. This study conducted a survey of Mongolian consumers, and the survey was conducted online with a total of 110 people. The analysis method was verified using the SPSS 18 program. As a result of the analysis, it was confirmed that the national image had a positive and significant effect on Mongolian consumers' intention to repurchase Korean cosmetics. In addition, it was found that perceived quality or eco-friendly product images play a mediating role in the relationship between the national image and the intention to repurchase cosmetics.

This thesis explores the principle of a performer’s organic action by means of his/her bodily responses on stage. This research has been developed to define the nature of a performer’s central task in order to constitute empirical understanding of acting and the purpose of training in addressing the question of what sort of qualitative bodily training is necessary to be in a state of the full body involvement. This study investigates to articulate a performer’s fundamental task at the most rudimentary level by utilizing those theatre artists’ concepts with practical assumptions. In particular, the key terms, happen and change signifies the quality of a performer’s body that has to fit into the given environment in which the performer’s body can be subordinated through the moment on stage. Here, we argue that a performer’s essential task parallel to make the following moment to happen and change by means of progressing a set of the next moment. In this manner, we also argue that a moment of displaying the performer’s conscious effort, forceful and externalizing the visible elements under the use of erroneous language leads his/her body not to function on stage, a state of disengagement from his/her body. Finally, we provide a way to facilitate a performer’s organic action by focused on his/her lived experience to create the functional moment which is opposite to the predominance of a representation, maintaining the performer’s intellectual sense.

This paper selected 'Line', the messenger application of Korea's leading software-based IT company ‘Naver’, and performed a case analysis specially in the early stages of the messenger industry. First, this study analyzed what the mobile messenger industry is and the external environment. Next, an internal analysis was carried out through the strengths and weaknesses through Naver Line's resources and capabilities. With this analysis, this study could evaluate the platform strategy, communication strategy, and the user basic strategy that Naver is carrying out. This study gave us more understanding of the mobile instant messenger (MIM) industry and understand Naver's growth strategy, which will provide great implications for the working staff of IT companies.

Since the 21st century, the internet has been an essential existence due to the 4th industrial revolution and the development of IT technology, but the focus of the existing development direction has changed a lot over the past three years. COVID-19, also known as a pandemic, first occurred in 2020 escalating rapidly and cutting off society existing as an off-line form in every country. As non-face-to-face life continues, everyday technologies using online such as hybrid work have promptly developed, and an online virtual world called Metaverse excelled and became a phenomenal topic. In this study, theoretical considerations and the current status of the metaverse, which are being highlighted as global trend keywords, are examined, and the utility of the metaverse in the fashion industry was studied. Based on this study, it is expected that the work is recognized and brings helpful intuitions as a way to revitalize the shrinking fashion industry by using the metaverse, which is still in its infancy.

Appearance management is evolving as a means of self-expression or as a way of expressing one's individuality. In particular, hairstyle is the most important part of a person's appearance and accounts for 70% of the appearance. Improving people's appearance by changing their hairstyle gives them confidence. Among them, the fringe hair style plays an important role in determining the first impression and reflects the trend. Fringe is shorter and simpler than general hair treatment, but even these small treatments have the effect of changing the impression, so women are trying to transform into a fringe hair style. A previous study was conducted on four lines classified: round, heart, square, and triangular. In this study, we added them to define 5 hairlines and created them by combining each hairline. that have been produced 5 fringe hair styles that suit the shape of the face. It is expected that the results of this study will be used as educational materials for hair line and fringe hair styles in the field, contributing to the beauty industry.

The amount of digital text data is growing exponentially, and many machine learning solutions are being used to monitor and manage this data. Artificial intelligence and machine learning are used in many areas of our daily lives, but the underlying processes and concepts are not easy for most people to understand. At a time when many experts are needed to run a machine learning solution, no-code machine learning tools are a good solution. No-code machine learning tools is a platform that enables machine learning functions to be performed without engineers or developers. The latest No-Code machine learning tools run in your browser, so you don't need to install any additional software, and the simple GUI interface makes them easy to use. Using these platforms can save you a lot of money and time because there is less skill and less code to write. No-Code machine learning tools make it easy to understand artificial intelligence and machine learning. In this paper, we examine No-Code machine learning tools and compare their features.

Developing a machine learning model and putting it into production goes through a number of steps. Automated Machine Learning(AutoML) appeared to increase productivity and efficiency by automating inefficient tasks that occur while repeating this process whenever machine learning is applied. The high degree of automation of AutoML models allows non-experts to use machine learning models and techniques without the need to become machine learning experts. Automating the process of applying machine learning end-to-end with AutoML models has the added benefit of creating simpler solutions, generating these solutions faster, and often generating models that outperform hand-designed models. In this paper, the AutoML data is collected and AutoML's Color Petri net model is created and analyzed based on it.

Although the National Intelligence Service Act has been amended considering the growing importance of economic counterintelligence, a clear interpretation of certain provisions and improvement of the effectiveness of economic counterintelligence are required. This article presents some suggestions for regulations on economic counterintelligence. Firstly, the meaning of the term "disturbance of economic order in connection with foreign powers" will become clear by interpreting it with the terms of the Counterintelligence Duty Regulation and by setting categories referring to the U. S. regulations. Secondly, counterintelligence authorities' request for cooperation may be reinforced by amending relevant regulations or by applying a special procedure for the acquisition of data. Finally, strengthened punishment for activities in connection with foreign powers may improve the efficiency of counterintelligence. For these reasons, this paper aims to present a direction for the future, focusing on this new economic counterintelligence.

CPR in High-rise building is one of the challenging tasks to 119 paramedics, evacuating patient from the narrow and vertical area. This study was built to compare the method of mechanical CPR and manual CPR is to maximizing on-scene treatment time, and minimizing the hand-off time in cardiac arrest, transporting patient as fast as possible. The electronic data research (Science, Pubmed, Medline, Medline and 55 academic DB interworking) was conducted, and five articles were included by reviewing and excluding through the Covidence program and Review Manager version 5.4(Cochrane Collaboration). OHCA occurring on the higher floor indicates lower in survival. A total studies uniformly reported mechanical CPR is more effective during the high-rise building evacuation, than manual CPR in rate, depth, and hands-on time of chest compression. Use of mechanical CPR device is more suitable in case of High-rise building OHCA to improve the survival rate which is affected by high-quality CPR.

This research aims to investigate the relationship between safety climate and safety perception and safety behavior. Safety perception of the relationship is considered to have a mediating effect. Previous literature has tended to regard safety perception as an independent variable at the same level as the safety climate, which can be said to depend on behavioralism to approach the causal relationship to an one-way perspective. The survey was administrated through full- service carries in Korea such as Korean Air and Asiana Airlines, and low-cost carriers such as JeJu air, Jin air, and Air Pusan. It can identify a mediator of safety perception between safety climate and safety behavior. There are significant indirect effects of each value, which means mediators values of safety perception of safety climate variables and safety behavior. The study highlights that airlines should focus on the importance of their psychological aspects to strengthen the safety behavior of flight attendants and the value of organizational efforts to mature safety perceptions, suggesting some implications of theoretical and practical aspects.

This study attempted to explore the realization and research direction of a successful metaverse environment in the future by analyzing international research trends of the metaverse using topic modeling. A total of 208 papers among WoS and ScienceDirect papers using metaverse as keywords were selected, and quantitative frequency analysis and topic modeling were performed. As a result, it was confirmed that research has rapidly increased after 2022. The main keywords of the research topics were ‘second’, ‘life’, ‘learning’, ‘reality’, ‘metaverse’, ‘virtual’, ‘blockchain’, ‘nft’, ‘medical’, ‘avatar’, etc. The topic keywords ‘Second life & Education’ and ‘Virtual Reality & Medical’ accounted for a large proportion of 57%, followed by ‘Blockchain & Cryptocurrency’, ‘Avatar & Interaction’, and ‘Sensing and Device’. As a result of semantic analysis, current metaverse research is focused on application and utilization, and research on underlying technologies and devices is also active. Therefore, it is necessary to identify the commonalities and differences between domestic and foreign studies, and to study the application method considering the domestic environment. In addition, new jurisprudence research is more necessary along with predicting new problems. It is expected that the results of study will provide the right research direction for domestic researchers in the era of digital transformation and contribute to the realization of a digital society.

Increasing interest in the metaverse world these days, interest in realistic content such as 3D displays is growing. In particular, hologram images seen in movies provide viewers with an immersive display that cannot be seen in conventional 2D images. Since the first discovery of holography by Dennis Gabor in 1948, this technology has developed rapidly. Spatially, this beginning of technology like Optical hologram called analog hologram and Digital hologram such as computer-generated hologram (CGH). In analog and digital holograms, a recording angle and a recording wavelength are having important role when reproducing and display hologram. In the hologram, diffraction of light causes by unexpected formed by the synthesis from interference with object and reference light. When recording, the incident light information and mismatched reproduction light reconstruct the hologram in an undesirable direction. Reproduction light that is out of sync with incident light information with initial condition of recording will cause reconstructed image in an undesirable direction. Therefore, we analyze the holographic interference pattern generated by hologram recording in volume holograms using photopolymer and analyze the characteristics that vary depending on the angle of the reproduced light. This is expected to be used as a basic research on various holographic application that may cause as holograms are applied to industries in the future.

EOTS for drones is showing another aspect of market expansion in detection and recognition areas previously occupied by artificial satellites. The two-axis EOTS for drones controls the vibration or disturbance caused by the drone during the mission so that EOTS can accurately recognize the goal. Vibration generated by drones is transmitted to EOTS. Therefore, it is essential to develop a stabilization controller that attenuates vibrations transmitted from drones so that EOTS can maintain the viewing angle. Therefore, it is necessary to standardize drone disturbance and secure the performance of EOTS disturbance attenuation controller optimized for disturbance level through this. In this paper, a method of standardizing drone disturbance applied to EOTS is studied, through which EOTS controller simulation is performed and stabilization controller shape is selected and designed.

Holography is a human-friendly technology that can express 3D stereoscopic information without eye fatigue. You can experience the mysterious features of light directly and indirectly, and you can also experience the principles of 3D imaging, which makes it a very good curriculum. As such, although holography is very effective in teaching students optics and 3D imaging technology, it has not yet been systematically established. The reason is the cost burden such as expensive equipment and laboratories, and the lack of easily accessible educational equipment. We implemented a portable holographic recording system to solve this problem. In addition, since silver halides, which use harmful chemicals, are not used in the process of developing the recording medium, and photopolymers are used, it is possible to educate not only the general public but also young students. In order to improve the completeness of the recorded result, the mechanism part, light source, and recording medium part of the production system were newly constructed to complement all the existing problems. The proposed system will make holography easily accessible to many people in a variety of fields, not just education. Through the interesting experience of various features and principles of light and the production of holograms with high satisfaction, we hope to popularize them in various fields such as education.

This study aims to determine the importance of each factor considered when operating a rotorcraft in a city. After identifying factors that could affect urban air mobility, we reviewed the influencing factors by applying an analytic hierarchy process (AHP). Level 1 classifies the essential factors of the urban operation of rotorcraft in nominal and off-nominal situations. The factors corresponding to the characteristics of each were composed of lower levels, such as Levels 2 and 3. Using this, the importance of influencing factors was analyzed and the most important factors were determined. The most influential factors of the urban operation of rotorcraft included engine failure, fire situations, and vehicle safety. Accordingly, an environment that can guarantee safe operation by considering the most influential factors in advance in an actual operation stage must be constructed.

This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.

Recently, due to rapid climate change, the population of honey bees has decreased, posing a great threat to the existence of the Earth's ecosystem. In particular, the colony collapse phenomenon in which bees disappeared nationwide in early 2022 had devastating consequences for beekeepers. In order to solve the problems of beekeeping due to climate change, it is urgent to develop a system that can monitor the situation inside the hive through various IoT sensors. This paper develops a system that can measure the activity of bees inside the hive and uses it to measure the number of times of entry and exit of the hive. The data measured by the developed system can be monitored in real time on a smartphone through the cloud server. The system developed in this paper can monitor the ecology of bees according to climate change and measure internal and external bee activities. Using this method, it is possible to check in advance for the colony collapse phenomenon in which bees disappeared in early 2022. This is very meaningful in that it presents an alternative that can identify the cause of the problem through early detection.