Journal of Korean Society of Neurocognitive Rehabilitation
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v.10
no.2
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pp.45-52
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2018
The purpose of the present study was to determine correlations between the Berg Balance Scale (BBS), Montreal Cognitive Assessment-Korean (MoCA-K) and Modified Barthel Index (MBI) targeting stroke patients, and it seeks to analyze the influence among each factor to establish the fundamental research in evaluating the functional performance capability of stroke patients. The study was conducted between December 2017 and March 2018 and the target of the study was 34 stroke patients who are hospitalized and treated in Y rehabilitation hospital located in Goyang city. Following in criteria of how participants were selected. First, a person without the onset of 6months or more. Second, a person who can communicate and score over 20 points on MMSE-K. Third, a person without unilateral neglect. Fourth, a person without lower motor neuron lesion and orthopedic disease on the bilateral lower extremity. Fifth, a person without audiovisual problem and history of using drug or surgery that influence athletic function. sixth, patients who agreed on participating in the study. The evaluation was processed by measuring BBS, MoCA-K, and MBI with the occupational therapist and physical therapist. Also, one assistant was participated in measuring balanced ability for the safety reason. It was found that significantly correlates (p<.01) with BBS and MoCA-K (r=.459), BBS and MBI (r=.550), MoCA-K and MBI (r=.565). This study is meaningful that it provided the basis for the active use of BBS, MoCA-K and MBI as a clinical evaluation tool and its usefulness.
This study identified the level of awareness of dangerous accidents by empirically analyzing the possibility of hazardous accidents at work and the possibility of dangerous accidents due to COVID-19 targeting the participating seniors who are active in the Senior Club, an organization dedicated to job placement for the elderly. The purpose of this study is to provide basic data for preparing measures to improve risk accidents that may occur in organizations in charge of job placement for the elderly and to suggest countermeasures to prevent dangerous accidents. For this purpose, data were collected from the elderly participating in 16 senior clubs in Busan, and 425 of the collected 430 were ultimately used. As a result of this study, first, it was found that the elderly who participated in a job-dedicated institution for the elderly generally perceived the possibility of occupational risk accidents and risk factors due to COVID-19 to be low. Second, it was found that there was a statistically significant difference in the probability of occurrence of hazardous accidents at work according to demographic characteristics during the participation period, and the probability of occurrence of dangerous accidents with COVID-19 was found to have statistically significant differences in the classification and age of the participating elderly. Based on the results of this study, the project manager suggested creating a safety accident management record sheet, preparing a risk management manual, and establishing a risk management system reflecting the individual characteristics of the participants.
The purpose of this paper is to confirm how traditional legends are changing and existing in modern times, and how they are inheriting and developing legendary values and meanings. The subject of the study is uncanny stories concerning army that is judged to be worthwhile alongside uncanny stories concerning school. The uncanny stories concerning army are urban legends that are active in the internet. It can be defined as 'a narrative story that raises fear with supernatural and strange experiences in the army'. In addition to the internet community sites, humor sites and game sites are actively handed down. Recently, ghost stories have appeared on the site, and uncanny stories concerning army are easily collected from these various sites. The uncanny stories concerning army can be divided into three types: ghost experience type, Bulgogi GP type, mystery radio type. The ghost experience type has the largest number of version, the contents are rich and varied. It does not deviate much from the traditional notion of ghosts. Bulgogi GP type has a frenzied horror from its name. It is related to actual events and raises horror. Mystery radio type is a romantic material used in movies and dramas. However, unlike movies and dramas, uncanny stories concerning army are perceived as fearsome. The uncanny stories concerning army continues to emphasize that the story is actually experienced in the title and content. It has presented concrete evidence. The emphasis on truthfulness is intended to make fear more realistic. This comes from the desire for safety. Uncanny stories concerning army focus on horror. So It tries to reveal the history and truthfulness of the story itself. As a result, the history of reality, the truth of reality, and the realistic ideology are erased. Historical and truthfulness of traditional legends has been varied in the case of uncanny stories concerning army.
Klaus Schwab's discussion on the Fourth Industrial Revolution provides a framework for predicting the direction of legal technology development. Technological convergence, which has emerged as the core concept of the Fourth Industrial Revolution has a significant effect on legal technology. In particular, various new technologies, such as legal chatbots and platforms, are being introduced to enhance efficiency and accessibility in the legal field. However, legal technology is still in its early stage, with institutional improvement needed to vitalize the industry. In this paper, we first specify the concept and classification of legal technology in Chapter 2, followed by trends and limitations in Chapter 3 and ways of vitalizing legal technology in the future in Chapter 4. To invigorate legal technology development, it is necessary to put in place legal regulatory measures that stipulate the active disclosure of legal data, such as precedents, and make free use of such measures. In the law, many issues, such as the safety of artificial intelligence, personal information protection, and ethical standards, will be discussed in the future. Therefore, via this paper, we hope to promote the formation of social consensus and prepare countermeasures, such as legislative measures.
This paper aims reinterpreting and reflecting on the current status and problems with the various contents that have developed through Jeongeupsa (井邑詞, Jeongeup Lyrics) in order to enhance the local and cultural value of Jeongeupsa within the broader context of classical poetry. The results of this research are as follows: First, I raised the questions by summarizing previous studies on the interpretation of Jeongeupsa. The view of Jeongeupsa as songs about the jealousy and anger of wives is highlighted, and the view of the wives' desire for their husbands' safety is confirmed to be passive portrayals of women. These two interpretations raise questions about the extent to which Jeongeupsa remain relevant to local cultural content of today. Second, it was understood that Jeongeupsa shows a mature attitude that does not indicate spatial separation from the subjects in the poem. This is shown via the absence of those subjects, and further shows an active and subjective attitude of waiting. Therefore, it was deemed that there is room to reconsider to the categorization of Jeongeupsa as lewd songs. Third, the contents generated through Jeongeupsa are buried in feelings of sadness and anger. Thereby, the contents have not guaranteed the health of Jeongeupsa. In order to promote Jeongeupsa as a source of local and cultural content, the positive value of Jeongeupsa must be enhanced.
Purpose: To examine whether the Patient Experience Assessment (PEA) has led to perceptible changes at the ground level of health care, as a way of evaluating PEA as a policy intervention for quality improvement. Methods: Four focus group discussions (FGDs) were conducted, each comprising six to eight participants who were employees responsible for patient experience at their respective hospitals. The primary focus of the FGDs was on questions such as: 1) How do hospitals respond to PEA? 2) What significant changes were observed after the implementation of PEA? 3) What were the unintended consequences of implementing PEA, if any? 4) What areas of improvement have been identified for maximizing the potential of PEA? Results: Two broad themes emerged out of the FGDs: changes observed post implementation of PEA, and areas for improvement of PEA. Four significant changes were reported by participants: changes in perception and attitude regarding patient experience in hospital employees, increased active involvement by the hospital leadership, enhanced efforts to improve patient experience, and increased cooperation between such activities. Furthermore, eight areas of improvement were identified, which have been grouped in three categories: improving the process of data collection for PEA, introducing additional catalysts to facilitate further changes, and paying attention to structure- and patient-level constraints that must be addressed in parallel. Conclusion: The implementation of PEA led to perceptible changes within hospitals, which implies that it can serve as an effective catalyst for improving patient experience. A number of areas of improvement that would aid in maximizing the potential of PEA were also identified.
Recently, research to classify human activity using imagery has been actively conducted for the purpose of crime prevention and facility safety in public places and facilities. In order to improve the performance of human activity classification, most studies have applied deep learning based-transfer learning. However, despite the increase in the number of backbone network models that are the basis of deep learning as well as the diversification of architectures, research on finding a backbone network model suitable for the purpose of operation is insufficient due to the atmosphere of using a certain model. Thus, this study applies the transfer learning into recently developed deep learning backborn network models to build an intelligent system that classifies human activity using imagery. For this, 12 types of active and high-contact human activities based on sports, not basic human behaviors, were determined and 7,200 images were collected. After 20 epochs of transfer learning were equally applied to five backbone network models, we quantitatively analyzed them to find the best backbone network model for human activity classification in terms of learning process and resultant performance. As a result, XceptionNet model demonstrated 0.99 and 0.91 in training and validation accuracy, 0.96 and 0.91 in Top 2 accuracy and average precision, 1,566 sec in train process time and 260.4MB in model memory size. It was confirmed that the performance of XceptionNet was higher than that of other models.
The safe driving reward system aims to reduce the loss of life and property by reducing the occurrence of accidents by motivating safe driving and encouraging active participation by providing direct reward to vehicle drivers who have performed safe driving. In the case of the existing digital tachograph, the goal is to limit dangerous driving by recording the driving status of the vehicle whereas the safe driving reward system is a support measure to increase the effect of accident prevention and induces safe driving with financial reward when safe driving is performed. In other words, in an area where accidents due to speeding are high, direct reward is provided to motivate safe driving to prevent traffic accidents when safe driving instructions such as speed compliance, maintaining distance between vehicles, and driving in designated lanes are performed. Since these safe operation data and reward histories must be managed transparently and safely, the reward evidences and histories were constructed using the closed blockchain Hyperledger Fabric. However, while transparency and safety are guaranteed in the blockchain system, low data processing speed is a problem. In this study, the sequential block generation speed was as low as 10 TPS(transaction per second), and as a result of applying the acceleration function a high-performance network of 1,000 TPS or more was implemented.
International Journal of Computer Science & Network Security
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v.22
no.7
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pp.213-219
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2022
Building Ukraine as an independent, sovereign state requires the education of a citizen-patriot, able to live and work in a democracy, ensure the unity of Ukraine, feel constant responsibility for themselves, their people, country, seek to make a real contribution to the reform process. Modern modernization of the education system requires the search for new information and communication technologies that can ensure the formation of a citizen with an active civic position, which involves not only students mastering the rights and responsibilities of citizens, convincing them of the feasibility of democratic transformation of society, patriotic qualities and feelings, but also the identification of motivated civic actions. The pandemic and hostilities have led to significant changes in the field of education around the world, they have caused educational problems in Ukraine. At the beginning of the quarantine in the spring of 2020, all educational institutions in the emergency mode switched to distance learning. Intensive use of information and communication technologies in the life of modern society has led to a rethinking of the content of education and training of future professionals: the main role is played not so much by the information itself as the ability to work with it, critically comprehend and produce new knowledge; the main thing is not the amount of information, but its quality; information is needed for further practical application and transformation into knowledge, and the ability to work with information becomes one of the important competencies of the modern specialist in the new transformation of society: from information to the knowledge society. In this context, one of the main forms of training is distance learning, which is able to respond to the challenges of society. The main methodological positions that are taken into account in the construction of the structure and dynamics of the formation of civic responsibility of the individual during the use of information and communication technologies are highlighted. The structure of civil responsibility as a holistic system of information and communication technologies is outlined, which includes three subsystems that characterize the natural, social and systemic qualities of citizenship, interconnected hierarchically and synergistically.The constituent elements of the structural part of the model of civic culture of the individual are analyzed.
HK shiitake mushroom mycelium (HKSMM), containing 14% β-glucan, is a health functional food ingredient individually approved by the Korea Ministry of Food and Drug Safety for liver health. The anti-inflammatory effect of a 50% aqueous ethanol extract of HKSMM (designated HKSMM50) was studied in RAW 264.7 macrophage cells treated with lipopolysaccharide (LPS). An active hexose correlated compound (AHCC) was used as a positive control. LPS-activated RAW 264.7 cells were treated with HKSMM50 and AHCC (0, 20, 100, 500 ㎍/ml) and cultured for 24 hr. Inflammation-related elements in the supernatant were measured using enzyme-linked immunosorbent assay (ELISA) kits, and the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) proteins in the cells was analyzed by Western blotting. The HKSMM50 lowered iNOS and COX-2 protein expressions, and nuclear factor-kappa B (NF-κB), nitric oxide (NO) and prostaglandin E2 (PGE2) contents in a concentration-dependent manner as compared to LPS treatment. Similarly, the HKSMM50 lowered the content of pro-inflammatory cytokines interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), interleukin-4 (IL-4) and interleukin-6 (IL-6) contents and increased the activity of antioxidant enzymes superoxide dismutase (SOD) and catalase (CAT). The efficacy of the AHCC treatment was similar to that of the HKSSM50 treatments. These results indicate that HKSMM50 showed an anti-inflammatory effect in LPS-treated RAW 264.7 cells by down-regulation of NF-κB signaling and suggest that HKSMM could be used as a health functional food ingredient to help improve immune function.
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