In order to explore the context of fraudulent claims and the measures for preventing them targeting the long-term care institutions for the elderly, which is increasing every year in Korea, this study conducted the text mining analysis using the media report articles. The media report articles were collected from the news big data analysis system called 'BIG KINDS' for about 15 years from July 2008 when the Long-Term Care Insurance for the Elderly took effect, to February 28th 2022. During this period of time, total 2,627 articles were collected under keywords like 'elderly care+fraudulent claims' and 'long-term care+fraudulent claims', and among them, total 946 articles were selected after excluding overlapped articles. In the results of the text mining analysis in this study, first, the top 10 keywords mentioned in the highest frequency in every section(July 1st 2008-February 28th 2022) were shown in the order of long-term care institution for the elderly, fraudulent claims, National Health Insurance Service, Long-Term Care Insurance for the Elderly, long-term care benefits(expenses), elderly care facilities, The Ministry of Health & Welfare, the elderly, report, and reward(payment). Second, in the results of the N-gram analysis, they were shown in the order of long-term care benefits(expenses) and fraudulent claims, fraudulent claims and long-care institution for the elderly, falsehood and fraudulent claims, report and reward(payment), and long-term care institution for the elderly and report. Third, the analysis of TF-IDF was similar to the results of the frequency analysis while the rankings of report, reward(payment), and increase moved up. Based on such results of the analysis above, this study presented the future direction for the prevention of fraudulent claims of long-term care institutions for the elderly.
This experiment was carried out to evaluate Korean red rices as useful genetic resource. Semi-wild red rices were collected from farmer's field of the Korean peninsula from 1988 to 1991. The collected red rices were classified into two groups according to length /width ratio of paddy rice and ecological characters. One was long grain red rice and the other was short grain red rice. Those were evaluated in yield components, culm length and panicle length. Mean number of panicles per hill of collected long grain red rices was 21.5 and that of short grain was 11.8. Number of spikelets per panicile of the long and short grain red rices were 86.1 and 108.7, respectively. 1000 grains weight of long grain was 20.1g and that of short grain was 20.2g. Spikelet fertility of long and short grain were 80.4% and 79.4%, respectively. Culm length of long grain was 103.6cm and that of short grain was 94.8cm. Panicle length of long and short grain were 22.1cm and 21.3cm, respectively. Number of panicles per hill, number of spikelets per panicle and culm length were significantly different between the two groups, however no differences, in panicle, length and seed fertility were found between the two groups.
The Journal of the Convergence on Culture Technology
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v.9
no.2
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pp.437-444
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2023
With the development of modern society, society provides people with a quick and convenient life, but it also causes anxiety, depression, other psychological and mental illnesses, so art can also be used as a way and path to treating psychological disorders. Art therapy is a creative method of delivery used in therapy, resulting from the fusion of art and psychotherapy. Art is a service and public art activity, mainly aimed at solving human psychological problems, providing nonverbal expression and communication opportunities, and treating psychological and psychological entanglement by improving emotion, stability, and indirectly inappropriate behavior through multi-disciplinary convergence. Art therapy, as an independent discipline, began in Europe in the 3rd and 40th centuries and was mainly influenced by two psychologists, Sigmund Freud and Carl (Gustav Jung). We Starting with the theoretical foundation of psychoanalysis, this paper explores the effectiveness of modern people's psychotherapy, analyzes the similarities between the two ideas, explores the application of art therapy and the development of science and technology, and provides the public with various ways of art therapy and the validity of science and technology.
KSCE Journal of Civil and Environmental Engineering Research
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v.30
no.6D
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pp.577-585
/
2010
Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.
This study investigated the nature and dimensionality of the motives why employees showed the silence even though they could speak up their opinions. It aimed to develop the scales measuring employee silence. Thus, three studies were designed and particularly, two studies featured two different studies, totaling five studies. Study 1 conducted open-ended survey asking and 104 workers from a variety of work field answered. With the results of open-ended questions, a were developed, consisting of 60-items to measure employee silence motivation. Study 2 examined the scale developed and 481 workers from diverse work fields participated in. The exploratory factor and 'intra-ESEM' analyses were confirmed the construct of silence motivation, composing 5 factors(acquiescent, defensive, disengaged, opportunistic, relational silence) the 20-items was developed to measure the construct(Study 2-1). Furthermore, 'inter-ESEM' analysis was examined the discriminant validity of scale developed by the current study with general silence behavior and voice behavior. It found that the employee silence was distinguished from general silence behavior and voice behavior(Study 2-2). Study 3 was designed for validation of silence motivation scale which developed from Study 1 and Study 2. Based on these results, the implications and limitations of this study as well as the direction for future study were discussed.
This study was carried out to develop effective test method by soybean stink bug and to screen resistant genetic resources against soybean stink bug. The damage pod rate by stink bug showed 40% of most soybean varieties and was selected about 10% low of 10 varieties by 298 variety and degree in soybean at first year Stink bug damage rate research for 102 varieties that stink bug damage rate lowed at first year showed 10% low of 12 varieties and from 20% to 30% of the other varieties. So testing material is "Ilpumgeumjeongkong" to develop for effective test method soybean stink bug and result for stink bug damage rate research of according to growth stage showed rapidly high more full seed than full pod. Full seed stage (R6) was highest to 35.5% for stink bug damage rate. Result of resistant genetic resources selection according to stink bug damage pod rate was lowed of best to 10.3% for "Peking, Sorogkong, Hwangsaegjunjeari and Sobaeknamulkong" in the order. Also, stink bug damage seed rate was similar too. So "Peking, Sorogkong, Hwangsaegjunjeari and Sobaeknamulkong" were thought resistant variety against stink bug. Additional study carried out with "Peking and Sorogkong" so that concretely investigate about stink bug's refuse reaction. This result showed 10.0% for Peking and 14.2% for Sorogkong at R6 stage. But, damage pod rate was rapidly lowed.
The hepatocyte nuclear factor 4 alpha ($HNF4{\alpha}$) gene is related to lipid transport, including abdominal fat and growth, in chickens. Interestingly, the A543G SNP within the $HNF4{\alpha}$ gene has previously been reported to be associated with body weight in both broilers and Korean native chickens (KNCs). However, its exact position within the HNF4 is not yet reported. This study aimed to identify the position of the A543G SNP and to identify additional SNPs that can be used as genetic markers in KNCs. A total of 128 KNCs were used for the sequencing and analysis of these genetic associations. As a result, A543G SNP was located in intron 4 of the $HNF4{\alpha}$ gene; it is reported as rs731246957 in the NCBI database. Fourteen SNPs were detected in the sequenced portion of the $HNF4{\alpha}$ gene; three of these, rs731246957, rs736159604 and new SNP, intron 6 (249), were significantly related with growth in the chickens. In this study, the TT genotype of rs731246957, previously reported as A543G SNP, the GG genotype of rs736159604 and GT of new SNP have are highly associated with body weight from birth to 40 weeks of age in KNCs (P<0.01). These results suggest that rs736159604, rs731246957 and intron 6 (249) SNPs within the $HNF4{\alpha}$ gene could function as growth-related markers in the selective breeding of KNCs.
The emergence of the internet technology and SNS has increased the information flow and has changed the way people to communicate from one-way to two-way communication. Users not only consume and share the information, they also can create and share it among their friends across the social network service. It also changes the Social Media behavior to become one of the most important communication tools which also includes Social TV. Social TV is a form which people can watch a TV program and at the same share any information or its content with friends through Social media. Social News is getting popular and also known as a Participatory Social Media. It creates influences on user interest through Internet to represent society issues and creates news credibility based on user's reputation. However, the conventional platforms in news services only focus on the news recommendation domain. Recent development in SNS has changed this landscape to allow user to share and disseminate the news. Conventional platform does not provide any special way for news to be share. Currently, Social News Service only allows user to access the entire news. Nonetheless, they cannot access partial of the contents which related to users interest. For example user only have interested to a partial of the news and share the content, it is still hard for them to do so. In worst cases users might understand the news in different context. To solve this, Social News Service must provide a method to provide additional information. For example, Yovisto known as an academic video searching service provided time dependent metadata from the video. User can search and watch partial of video content according to time dependent metadata. They also can share content with a friend in social media. Yovisto applies a method to divide or synchronize a video based whenever the slides presentation is changed to another page. However, we are not able to employs this method on news video since the news video is not incorporating with any power point slides presentation. Segmentation method is required to separate the news video and to creating time dependent metadata. In this work, In this paper, a time dependent metadata-based framework is proposed to segment news contents and to provide time dependent metadata so that user can use context information to communicate with their friends. The transcript of the news is divided by using the proposed story segmentation method. We provide a tag to represent the entire content of the news. And provide the sub tag to indicate the segmented news which includes the starting time of the news. The time dependent metadata helps user to track the news information. It also allows them to leave a comment on each segment of the news. User also may share the news based on time metadata as segmented news or as a whole. Therefore, it helps the user to understand the shared news. To demonstrate the performance, we evaluate the story segmentation accuracy and also the tag generation. For this purpose, we measured accuracy of the story segmentation through semantic similarity and compared to the benchmark algorithm. Experimental results show that the proposed method outperforms benchmark algorithms in terms of the accuracy of story segmentation. It is important to note that sub tag accuracy is the most important as a part of the proposed framework to share the specific news context with others. To extract a more accurate sub tags, we have created stop word list that is not related to the content of the news such as name of the anchor or reporter. And we applied to framework. We have analyzed the accuracy of tags and sub tags which represent the context of news. From the analysis, it seems that proposed framework is helpful to users for sharing their opinions with context information in Social media and Social news.
Korean Journal of Agricultural and Forest Meteorology
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v.6
no.2
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pp.107-117
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2004
If doubtlessly contributes much to agriculture and rural development. The roles can be summarized as; 1. to activate rural areas and to provide more comfortable and safe rural life with equivalent services to those in urban areas, facilitating distance education, tole-medicine, remote public services, remote entertainment etc. 2. To initiate new agricultural and rural business such as e-commerce, real estate business for satellite officies, rural tourism and virtual corporation of small-scale farms. 3. To support policy-making and evaluation on optimal farm production, disaster management, effective agro-environmental resource management etc., providing tools such as GIS. 4. To improve farm management and farming technologies by efficient farm management, risk management, effective information or knowledge transfer etc., realizing competitive and sustainable farming with safe products. 5. To provide systems and tools to secure food traceability and reliability that has been an emerging issue concerning farm products since serious contamination such as BSE and chicken flu was detected. 6. To take an important and key role for industrialization of farming or lam business enterprise, combining the above roles.
Platform is considered as an alternative strategy to the traditional linear pipeline based business. Moreover, in the 4th industrial revolution period, efficiency driven pipeline business model needs to be changed to platform business. We have such success stories about platform as Apple, Google, Amazon, Uber, and so on. However, for those smaller corporations, it is not easy to find out the transformation strategy. The essence of platform business is to leverage network effect in management. Thus platform based management can be rephrased as network management across the business functions. Research on platform business is popular and related to diverse facets. But few scholars cover what the research trend of the domain is. The main purpose of this paper is to identify the research trend on platform business in Korea. To do that we first propose the analytical model for platform architecture whose components are consumers, suppliers, artifacts, and IT platform system. We conjecture that mapping of the research work on platform to the components of the model will make us understand the hidden domain of platform research. We propose three hypotheses regarding the characteristics of research and one proposition for the transitional path from pipeline to platform business model. The mapping is based on the research articles filtered from the Korea Citation Index, using keyword search. Research papers are searched through the keywords provided by authors using the word of "platform". The filtered articles are summarized in terms of the attributes such as major component of platform considered, platform type, main purpose of the research, and research method. Using the filtered data, we test the hypotheses in exploratory ways. The contribution of our research is as follows: First, based on the findings, scholars can find the areas of research on the domain: areas where research has been matured and territory where future research is actively sought. Second, the proposition provided can give business practitioners the guideline for changing their strategy from pipeline to platform oriented. This research needs to be considered as exploratory not inferential since subjective judgments are involved in data collection, classification, and interpretation of research articles.
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