The purpose of this study is to identify how to efficiently integrate long-term care facilities into geriatric hospitals. We conducted a survey on the current operations of facilities and medical services of 2009 of 192 long-term facilities and 168 geriatric hospitals in Korea between October and November. Technical statistics and chi-square test were conducted on the collected data using the SPSS 13.0/Win program. There was a difference between the two facility types in terms of the co-payment levels of the food services. Both types selected the budget deficit as their major management problem. Ease of access and the surrounding environment were critical factors used to select the location of both types of facilities. Facility users benefited from the discounted co-payments of both facility types. However, facility users wanted more frequent visits and support from their family members during their stay at the facilities. It was discovered that users in the long-term care facilities stayed longer, that is until they died, compared to their counterparts in geriatric hospitals. The two types of facilities provided their services totally separately to users. Users of the two types of facilities are poorly supported and cared for by their families. This study suggests that setting reasonable service fees, paying caretakers, introducing an integrated facility, strengthening facility assessment standards, introducing the family doctor system, and introducing the handling of long-term care insurance by geriatric hospitals would allow the integration between long- term care facilities and geriatric hospitals to be beneficial.
Korean Journal of Culture and Arts Education Studies
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v.6
no.2
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pp.37-62
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2011
The aim of this study was to search conditions activating the regional consortium for regional culture education in schools. Results of this study are follows: the regional consortium consists of parents of students, communities, schools, school boards, public institutes, and NGO groups. The consortium contribute the educational support and development for student activities in schools. Furthermore the consortium make an offer to coordinate and facilitate the delivery of information, resources, and services to students, educators, employers, and the community. Therefore, the consortium might be best described as "matchmakers" that help ensure that our customers are able to easily connect with providers of the services they need. The consortium will be made up of a network of service providers from across its region that all collaborate in helping to connect the local education and school communities.
The purpose of this study is to examine the effect of absolute / relative poverty on the life satisfaction focusing on mediation effect of subjective social status by type of elderly residents. In order to analyze the distinct characteristics of the elderly, analysis was conducted with 3,327 the elderly living together and 668 the elderly living alone using 'Korean Longitudinal Study of Ageing(KLoSA)' from 3rd to 5th wave data provided by the Korea Employment Information Service. The main analysis results are as follows. First, each poverty rate for the elderly living together accounted for 43.5 percent and 51.4 percent, while 63.8 percent and 77.2 percent for the elderly living alone respectively. Second, life satisfaction was higher among the elderly living together than living alone, However, life satisfaction was not related to condition of poverty among the elderly living alone. Third, absolute / relative poverty were associated with life satisfaction of the elderly living together, and subjective social status had a mediating effect. However, relative poverty was not related to life satisfaction among the elderly living alone, which indicated that it needs to support not only the financial approach to overcome absolute poverty but also the multi-dimensional poverty perspective in the intervention of the elderly living alone Based on the results, the study suggested to make a tool to measure of poverty using multi-dimensional poverty indicators.
In this study, the author develops and tests a model that incorporates the mediating effects of two frontline employee psychological variables (emotional exhaustion and intrinsic motivation) based on job demand and resource model. As a form of environmental resource, person-organization fit was proposed as a leading factor of frontline employee boundary spanning behavior through emotional exhaustion and intrinsic motivation. All measures were adapted from or developed based on prior research. Data for the study were collected from a cross-sectional sample of retail bank employees in South Korea. Questionnaires were distributed to 500 frontline employees across several banks. Of these, 322 usable questionnaires were returned. To analyze the data, a structural equation model procedure using LISREL 8.5 was employed. Results show that an employee's perceived fit with his/her organization enhances intrinsic motivation and reduces emotional exhaustion. These mechanisms, in turn, increase the employee's boundary spanning behavior. These results support the notion that person-organization fit should be one of the factors affecting motivation, affect and attachment, and extends such an understanding to a purely service-based environment among customer contact employees. Results also confirms that P-O fit can be viewed as environmental resources, and the JD-R model provides a theoretical base in further studying the antecedent role of P-O fit on frontline employees's boundary spanning behavior through intrinsic motivation and emotional exhaustion. These results suggest that organizations have to do their best to manage P-O fit, be it through employee screening or training and workshops to try and align organization and employee values and objectives. If managers of organizations are positively evaluated by the employees, it will be easier for them to, give things of value to employees, such as sense of direction, values, and recognition, and receive other things in return such as esteem and responsiveness. Consequently, organizational leaders are not only able to manage employee experiences, but also their fit with the organization. Even if a manager cannot control employee P-O fit, this research suggests, that a focus on reducing emotional exhaustion rather than increasing intrinsic motivation seems optimal. This research also supports the idea that motivation has a direct association with a frontline employee's boundary spanning behavior. Even in situations where emotional exhaustion cannot be reduced, organizations may still influence frontline behaviors through motivation.
Our society has an obligation and responsibility to respect and protect the character of the child. Recently, however, Korean society has been suffering from child abuse and abuse that is pouring out every day. In order to protect these children, the child protection system and the judicial system should be fundamentally child-friendly. The CASA(Court Appointed Special Advocates) volunteer program, which is being held in the United States with such a concern, is a continuing program of court attendance and emotional support services for abused children throughout the United States. In Korea, however, there are many similar programs such as mentoring projects, dream co-supporters project similar to the CASA program in various organizations of the region and the enactment of the Act on the Punishment of Child Abuse increases the involvement of the public system in child abuse. There is also an increased awareness of children's rights and strengthened government intervention through active monitoring to prevent recurrence of child abuse. These changes in the Korean society should be actively reviewed by the US CASA program and settled as a national project in the Korean society so that the system of protecting the safety and rights of the victims of child abuse will be established. It is anticipated to be a way to prevent social problems from occurring in advance.
SeungJin Kwak;Younghee Noh;Seokhyoung Lee;Kwanpyo Bae;Bong-Suk Kang;Jeong Taek Kim
Journal of the Korean Society for Library and Information Science
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v.57
no.4
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pp.49-74
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2023
This study aimed to establish the 2nd Comprehensive Library Development Plan (2024~2028) for Chungnam Library as a metropolitan representative library to enhance the quality of life for the province's residents through library service development and provide comprehensive and systematic support for public libraries in the province. To achieve this, a diagnosis and analysis of libraries in Chungcheongnam-do, an analysis of the policy environment in Chungcheongnam-do, and a future policy environment outlook for libraries were conducted. Ultimately, the study proposed the mission, vision, goals, implementation strategies, and action plans for the 2nd Comprehensive Library Development Plan for Chungcheongnam-do. Firstly, the mission was proposed as "Leading the future 'knowledge and cultural values' by embracing the people of Chungcheongnam-do." Secondly, the vision was suggested as "An inclusive space that leads the knowledge and culture of the future." The goals include: 1) Creating an inclusive library environment accessible to everyone, 2) Providing library services that embrace the community, 3) Operating the library to realize knowledge and cultural values, 4) Developing library infrastructure to lead the future, and 5) Strengthening community exchange and cooperation networks.
Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.
International Journal of Computer Science & Network Security
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v.23
no.10
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pp.1-10
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2023
This paper proposes a method to extend Inter-Carrier Interference (ICI) canceling Orthogonal Frequency Division Multiplexing (OFDM) receivers for 5G mobile systems to spatial multiplexing 2×2 MIMO (Multiple Input Multiple Output) systems to support high-speed ground transportation services by linear motor cars traveling at 500 km/h. In Japan, linear-motor high-speed ground transportation service is scheduled to begin in 2027. To expand the coverage area of base stations, 5G mobile systems in high-speed moving trains will have multiple base station antennas transmitting the same downlink (DL) signal, forming an expanded cell size along the train rails. 5G terminals in a fast-moving train can cause the forward and backward antenna signals to be Doppler-shifted in opposite directions, so the receiver in the train may have trouble estimating the exact channel transfer function (CTF) for demodulation. A receiver in such high-speed train sees the transmission channel which is composed of multiple Doppler-shifted propagation paths. Then, a loss of sub-carrier orthogonality due to Doppler-spread channels causes ICI. The ICI Canceller is realized by the following three steps. First, using the Demodulation Reference Symbol (DMRS) pilot signals, it analyzes three parameters such as attenuation, relative delay, and Doppler-shift of each multi-path component. Secondly, based on the sets of three parameters, Channel Transfer Function (CTF) of sender sub-carrier number n to receiver sub-carrier number l is generated. In case of n≠l, the CTF corresponds to ICI factor. Thirdly, since ICI factor is obtained, by applying ICI reverse operation by Multi-Tap Equalizer, ICI canceling can be realized. ICI canceling performance has been simulated assuming severe channel condition such as 500 km/h, 8 path reverse Doppler Shift for QPSK, 16QAM, 64QAM and 256QAM modulations. In particular, 2×2MIMO QPSK and 16QAM modulation schemes, BER (Bit Error Rate) improvement was observed when the number of taps in the multi-tap equalizer was set to 31 or more taps, at a moving speed of 500 km/h and in an 8-pass reverse doppler shift environment.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.18
no.3
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pp.1-15
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2023
Impact investment involves investing in companies that pursue both social value and financial returns. It focuses on addressing various social problems through innovative solutions while generating profits. The domestic impact investment ecosystem has experienced significant growth with the support of the government and public institutions. In 2021, it witnessed a 3.5-fold increase over three years, reaching a total of 700 billion won in operating assets. In order to foster qualitative growth alongside this quantitative expansion, it is crucial to conduct research specifically on impact investment, which sets it apart from conventional venture investment. This study aims to empirically analyze the unique factors that influence impact investment decisions. Firstly, the factors affecting investment decisions were identified through a literature analysis. Then, a consultation and Delphi survey involving 11 representatives and evaluators from impact investment companies was conducted to determine the major investment determinants. Subsequently, an AHP (Analytic Hierarchy Process) survey was carried out with 10 impact investment evaluators to ascertain the relative importance of these factors. The analysis revealed the following order of importance for the top factors: market>entrepreneur(team)>product/service>finance. Furthermore, the importance of specific factors was identified in the following order: market competition and entry barriers>new market creation>market growth and potential expansion>team expertise and capabilities. Unlike previous studies that primarily focus on general startup investment factors, this research demonstrates that impact investment places greater emphasis on market-related factors and considers the sustainability and profitability of the business model to be more important than the social impact of social ventures.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.1
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pp.229-249
/
2022
This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.
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