Earticle

Focusing on China’s profound historical/cultural heritage, as well as its favorable environment for the expansion of cultural and creative industries (CCIs), this paper considers the unique attributes of Chinese museum cultural and creative products (MCCPs) from the angle of cross-border development, and summarizes the main forms and effects of cross-border innovation in relation to Chinese MCCPs. It also examines the chief problems of Chinese MCCPs’ cross-border growth at three levels – the national policy system, product development, and design and marketing – to explore countermeasures and suggestions for cross-border novelties and the advancement of products.

The core of the university policy pursued by the Moon Jae-in administration is to strengthen university competencies through the diagnosis of universities. To this end, the word structural reform evaluation is changed to strengthening the basic competencies of universities, and is trying to escape from the past reduction of pro-class capacity. Deputy Prime Minister Kim Sang-gon insisted, "We will improve the university structure evaluation, which is biased toward quantitative quota adjustment, with a diagnosis of basic university competency to support the autonomous development of the university." The Ministry of Education expressed its intention to strengthen the capacity of local universities by saying that it would also consider regional conditions in reducing the university quota due to the decrease in the school-age population so far. In the meantime, as the school-age population declined, the Ministry of Education promoted the reform of the university structure by dividing it into three cycles from 2014. This paper focuses on the problems of diagnosis of education reform and improvement measures, and tries to find out what is the desirable direction for education innovation. This paper studied the structural reform of universities following the decline of local universities. The policy alternatives in this paper are as follows. First, the contents of the government's push for university structural reform were analyzed. Second, we considered the problems of university structural reform. Third, they sought ways to develop local universities and enhance their competitiveness.

The purpose of the present study was to present evidence for driving interventions for the elderly by conducting programs that can improve visual perception and cognitive function in a driving simulator for elderly drivers and analyse their effects. Three elderly subjects who were 65 years or older, did not have physical and cognitive impairments, and were able to drive themselves participated in the present study. A total of 12 intervention sessions, of which subjects participated in 10 sessions of nine different visual perception and cognitive function programs available in a driving simulator, were conducted and pre- and post-program assessments were conducted (two assessments in total). The assessments included the evaluation of visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy. The results showed positive effects of the driving simulator program on the visual perception, frontal lobe function, concentration, safe driving behaviour, and self-efficacy of all subjects. Changes in the simulator results showed remarkable improvement in the response evaluation, judgment evaluation, and predictive power evaluation, but showed difficulties in interference tasks and depth perception in common. The results showed positive effects of driving simulator training on the driving ability of the elderly, and consistent provision of such training is expected to improve the quality of life of the elderly by securing the safety of driving and actively supporting social participation.

The purpose of this study is to examine the spatial characteristics of violent and burglary crimes in South Korea. Violent crimes and burglary crimes depend on a spatial setting with good conditions for their criminal purposes. This study defines population density, racial heterogeneity, types of houses, and density of commercial facilities as variables of place affecting crime in cities and counties. The study collects data from 229 cities in Korea to analyze the effect of spatial characteristics on crime. We conduct additional analyses to meet the statistical requisites of the spatial econometrics model using the open-source software R and GeoDa 1.12.1.129. From the analytical result, population density, racial heterogeneity, apartments, and commercial areas relate to crime occurrence. We suggest the implication of the theoretical and practical contributions to the relationship between place and crime.

This study wanted to find out what college students thought about family participated delivery and what concerns they had. To this end, eight college students aged 20 to 25 were interviewed three times. The data collection period was from March 20 to April 10, 2021. Interview materials were collected and interpreted simultaneously using the Giorgi method, a phenomenological research method. As a result of the analysis, 29 semantic units were derived, 12 subcomponents were grouped again, and five categories were formed as final components. The five categories of thoughts on the participated delivery of college students consisted of Responsibility, Happiness, Stability, Shame, and Anxiety. Based on the above meaning, college students were found to be comfortable with their families and to be more comfortable with birth happiness, while also feeling the risk of infection and shame as women. Accordingly, this study suggests that when participating in the delivery of family participation of college students who will be future parents, a systematic protocol will be established to thoroughly prepare for infection and protect women's privacy.

The coronavirus disease 2019 (COVID-19) pandemic continuously influences on the health and well-being of people and communities worldwide. The purpose of this study was to explore the published research articles in the fields of nursing and health during the COVID-19 pandemic. The research design is an exploratory study. Samples are the abstracts of the articles from a literature database, PubMed, that were published from January 1st, 2020 to April 15th, 2021. We used a MeSH term, ‘nursing’ and “COVID-19” to retrieve articles that are related to COVID-19. Five hundred and fifty-five articles were retrieved. Two hundred and sixteen articles were excluded as they were not met the inclusion criteria. The total number of articles used in this study was three hundred and thirty-nine. The average number of articles published during the data collection period was 21.9. Seven topics were discovered from the abstracts of the articles: COVID-19 management and guidance; Perinatal COVID-19 and breastfeeding; Nurse; Health service and support; Patient care; Research; and Education and experience. This study revealed some interesting topics from the articles related to COVID-19 and provided some sense of research areas that may be interesting and allow us to develop important research questions about nursing science and nursing practice.

The purpose of this study is to analyze the impact of participatory design workshops conducted to design forest play spaces that reflect young children's needs and demands on the development of spatial concepts in young children. As a research method for this purpose, we used the participatory design workshop (6 times) and Landscape Montage Techniques (LMT). We conducted this study at the "Songsan-mulbit Forest Experience Center for children (FECC)" located in Gwangsan-gu, Gwangju Metropolitan City, from the second week of May to third week of June 2018 for preschoolers in K-kindergarten (six and seven-year-old integrated classes; 41 preschoolers in total). We conducted the LMT evaluation on the same preschoolers before and after the workshop, and the drawings of 39 preschoolers drawn for LMT evaluation before and after the workshop were subject to the final evaluation. As a result of the study, the cognitive levels for the spatial concept after the workshop are higher than those for the spatial concept before the workshop, especially showed the result of comparing the LMT values of 6 age and 7 age, there were significant differences on pre and post workshop in p<0.01.

This study is to develop a strategy to prepare an improvement strategy according to the environmental change of the hotel. Currently, domestic hotels are implementing marketing through food and beverage as a countermeasure against the sales decrease, and in order to develop effective marketing plan, 5 Force Model environmental analysis and STP analysis are analyzed. 5 Force Model Environmental Analysis showed that domestic hotels are facing various difficulties such as the expansion of accommodation sharing system, the decrease of Chinese tourists due to the THAAD problem, the increase of hotels, the introduction of PMS, the increase of minimum wage, the introduction of 52 hours work week, and the increase in product preference As an STP response strategy to correspond these difficulties, it is necessary to develop products for the main customers of the hotel food and beverage, such as those in the 20s-30s, the workers, smartphones and SNS users. And also hotels should seek ways to lower price of the product to the level desired by the user to compete against substitutes. In conclusion we suggest that hotels are committed to fulfilling their role by meeting guest safety and COVID-19 compliance requirements, but a focus on immediate cleanliness and quarantine against infectious diseases, like Airbnb, will enable greater growth.

This study is to analyze the structure of the networks of tourism marketing on Twitter, identifying the most prominent users, the flow of information about tourism marketing, and the interaction between the users posting tweets. This study employs NodeXL pro as a visualization software package for social network analysis. The number of vertices or nodes is 171, and the number of the unique edges or links is 128, but there are 101 edges with duplicates, so the total links are 229, which means that there are fewer Twitter accounts in the social network on tourism marketing, but they have a few close relationships by sharing information. The research can map the social network of communicators of tourism marketing using Twitter data. The network has a complicated pattern, including one independent network and some connected networks. Some mediators connect each network and can control the information flow of tourism marketing. More communicators are getting the information than the ones providing it, which means that there is likely to be the dependence of information among communicators that can cause an obstacle and distortion of the information flow system, especially in the independent network.

Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.

In Korea, some pharmaceutical companies and agricultural machine manufacturers associate the length of the credit period with the retailer’s order size. This kind of commercial practice is based on the principle of economy of scale from the supplier’s point of view and tends to make retailer’s order size large enough to qualify a certain credit period break. Also, the credit period allowed by the supplier makes it possible to reduce the retail price expecting that the retailer can earn more profits by the stimulating the customer’s demand. Since the retailer’s order size is affected by the end customer’s demand, it is reasonable to determine the retail price and the order size simultaneously. In this regard, this paper analyzes the retailer’s problem who has to decide his sales price and order quantity from a supplier who offers different credit periods depending on his order size. And we show that the retailer’s order size large enough to qualify a certain credit period break. Also, it is assumed that the end customer’s demand rate is represented by a linear decreasing function of the retail price.

Contactless service is rapidly emerging as a new growth strategy due to consumers who are reluctant to the face-to-face situation in the global pandemic of coronavirus disease 2019 (COVID-19), and various technologies are being developed to support the fast-growing contactless service market. In particular, the restaurant industry is one of the most desperate industrial fields requiring technologies for contactless service, and the representative technical case should be a kiosk, which has the advantage of reducing labor costs for the restaurant owners and provides psychological relaxation and satisfaction to the customer. In this paper, we propose a solution to the restaurant's store operation through the unmanned kiosk using a state-of-the-art artificial intelligence (AI) technology of image recognition. Especially, for the products that do not have barcodes in bakeries, fresh foods (fruits, vegetables, etc.), and autonomous restaurants on highways, which cause increased labor costs and many hassles, our proposed system should be very useful. The proposed system recognizes products without barcodes on the ground of image-based AI algorithm technology and makes automatic payments. To test the proposed system feasibility, we established an AI vision system using a commercial camera and conducted an image recognition test by training object detection AI models using donut images. The proposed system has a self-learning system with mismatched information in operation. The self-learning AI technology allows us to upgrade the recognition performance continuously. We proposed a fully automated payment system with AI vision technology and showed system feasibility by the performance test. The system realizes contactless service for self-checkout in the restaurant business area and improves the cost-saving in managing human resources.

The aim is to find cyber measures in consideration of physical CPTED in order to prepare countermeasures for cybercrime prevention. For this, the six applied principles of CPTED were used as the standard. A new control item was created in connection with the control items of ISO27001. A survey was conducted on former and current investigators and security experts. As a result of the reliability analysis, the Kronbar alpha coefficient value was 0.947, indicating the reliability of the statistical value. As a result of factor analysis, it was reduced to six factors. The following are six factors and countermeasures. Nature monitoring blocks opportunities and strengthens business continuity. Access control is based on management system compliance, personnel security. Reinforcement of territoriality is reinforcement of each wife and ethics. Establishment of security policy to enhance readability, security system maintenance. Increasing usability is seeking ways to utilize, periodic incentives. For maintenance, security education is strength and security-related collective cooperation is conducted. The differentiation of this study was to find countermeasures against cybercrime in the psychological part of the past. However, they approached to find in cyber measures. The limitation of the study is to bring the concept of physical CPTED to the cyber concept.

Recently we have a lot of Youtube contents and their influence. ASMR content is in vogue through YouTube recently But Just a few Studies have announced Youtube content’s effect. The purpose of this paper is to examine whether ASMR helps improve mental stability and learning skills of teenagers who enjoy using it. To this end, a sample comparison of teenagers showed that the sample group that played ASMR had an advantage in psychological stability and learning effects over the comparison group that did not. As a result, half of the respondents felt positive differences in learning and psychological stability. Therefore, rather than unilaterally banning the use of ASMR content at school or at home, it is educationally effective to create an atmosphere where teenagers are understood and joined together. So We suggest that positive use of ASMR would be proposed as alternatives rather than unilateral measures such as banning ASMR content to teenagers.

When shaving, it is easy to suffer shaving burns, that is, facial burn irritation during shaving. The reason is that the razor blade irritates the skin. The current solution is to make the razor sharper and use a razor with a blade heating function. Although these ways can increase the comfort of shaving, they will also greatly increase shaving costs. This paper proposes using a hairdryer to massage the skin before shaving to reduce skin irritation during shaving. This is a simple, practical and low-cost method. The hair dryer's heat, sound, and wind energy have a massage effect, and they can make shaving easier and more comfortable. For analyzing shaving effect, two evaluation methods are used, which are sound spectrum analysis and mos. The sound spectrum analysis is used to analyze the working status of the razor objectively. The MOS test can reflect the subjective feelings of the subject on the shaving's comfort. The results show that the hairdryer thermal vibration massage can make the beard easier to cut, thereby reducing the irritation of the razor to the skin and improving shaving comfort.

Because of the COVID-19 epidemic, many countries have made the obligation to wear masks normal. Wearing masks in public places has become a must. At present, wearing a mask to participate in sports makes it very common. People seek to gain health through exercise but ignore the potential respirato-ry health threat. That is, wearing a mask will cause a decrease in oxygen content in the body. This neg-ative impact becomes more prominent as the wear-ing time and oxygen consumption increase. To pro-tect people from viruses and enjoy a healthy life. This paper proposes a breathing pattern that im-proves blood oxygen saturation while wearing a jogging mask and walking. Namely, shouting breathing pattern. Use a pulse oximeter to measure the blood oxygen saturation of running at different speeds and compare the normal breathing pattern and the shouting breathing pattern. The results show that the shouting breathing pattern has a sig-nificant improvement in the blood oxygen satura-tion of low-speed walking and medium-speed jog-ging.