Journal of the Korean Society of Physical Medicine
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v.19
no.2
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pp.107-122
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2024
PURPOSE: This study examined sports injuries among national sitting volleyball players and to provide baseline data for the development of programs to prevent injuries and enhance performance. METHODS: The study surveyed 21 national team athletes (12 males and nine females) participating in the 4th Hangzhou Asian Para Games. The questionnaire consisted of 17 items, including general information, type of disability, sites and types of sports injuries and their causes, the current state of sports injuries and the treatment and management of injuries. RESULTS: The survey results suggested that the most common injury sites were the finger, shoulder, and waist. The most frequent types of injuries were sprain, muscle cramp, and LBP. The causes were insufficient warm-up, playing unhealed and carelessness. Injuries were most prevalent during morning training and in the winter. Most injuries occurred in practice, and the actions most likely to cause injuries were blocking, spike and sitting movements. Ice and spray were the most common treatments, usually administered by the athletes themselves. Physical therapy was the most common post-injury management, and the most common sequelae involved continuing to use despite pain. CONCLUSION: Based on these results, systematic and individualized training and therapeutic support tailored to the characteristics of sitting volleyball and the types of disabilities are necessary to prevent and manage sports injuries among national players. Continuous injury management by medical staff, particularly physical therapists, is essential to maintain the health of disabled athletes.
Bae, Mi-Jung;Park, Seon-Min;Kim, Ja-Kyung;Hong, Jeong-Gi;Ryu, Shi Hyun
Korean Journal of Ecology and Environment
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v.53
no.1
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pp.22-30
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2020
In this study, we investigated the relationships between benthic macroinvertebrate assemblages and various environmental factors in Iancheon (NIA) and Bukcheon (NBC) streams, Korea. We collected benthic macroinvertebrates and 33 environmental factors in April 2017 at 9 sites (5 sites in NIA and 4 sites in NBC). We identified 93 species(5 phyla, 9 classes, 16 orders, and 53 families) and 69 species(5 phyla, 9 classes, 17 orders, and 47 families) in NIA and NBC streams, respectively. Considering benthic macroinvertebrate index (BMI), NIA (88.2) and NBC (80.2) streams were in "very good" status. Upstream areas showed the highest scores, 95.5 (NIA1) and 94.2 (NBC1), whereas BMI score was the lowest in downstream areas of both streams, especially in NBC4 (51.0 "bad" status). Cluster analysis and non-metric multidimensional scaling analysis represented the differences of benthic macroinvertebrate assemblages according to spatial and anthropogenic gradients. Our findings provide reference data and highlight the need for the continued monitoring to maintain the good status and manage macroinvertebrate diversity in these two streams, in Sangju-si, Korea.
We propose a mechanism for monitoring load in quality of service (QoS)-enabled wireless networks and show how it can be used for network management as well as for dynamic pricing. Mobile network traffic, especially video, has grown exponentially over the last few years and it is anticipated that this trend will continue into the future. Driving factors include the availability of new affordable, smart devices, such as smart-phones and tablets, together with the expectation of high quality user experience for video as one would obtain at home. Although new technologies such as long term evolution (LTE) are expected to help satisfy this demand, the fact is that several other mechanisms will be needed to manage overload and congestion in the network. Therefore, the efficient management of the expected huge data traffic demands is critical if operators are to maintain acceptable service quality while making a profit. In the current work, we address this issue by first investigating how the network load can be accurately monitored and then we show how this load metric can then be used to provide creative pricing plans. In addition, we describe its applications to features like traffic offloading and user satisfaction tracking.
Purpose: The purpose of this study was to investigate the relationship between systemic diseases and denture wear status in elderly. The subjects of this study were 4,340 seniors aged 65 or older who conducted screenings and health surveys using the National Health and Nutrition Survey data during the sixth period (2013, 2014 and 2015). Methods: For the general characteristics and denture wear status according to general systemic diseases, complex sample frequency analysis and cross-analysis were performed. After controlling the general characteristics, complex sample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. Statistical software was used for SPSS (SPSS 23.0 for Windows, SPSS Inc, USA). Significance level was considered as 0.05. Results: A multisample logistic regression analysis was performed to determine the relationship between systemic diseases and denture wear status. The results showed that the dentured state had a significant effect on dyslipidemia and diabetes. Conclusion: Dyslipidemia and diabetes, which are related to denture wearing condition, need to be prevented and treated with regular checkups. In addition, based on the results of the study, it is thought that the elderly need denture prosthetic treatment after tooth extraction. In addition, it can be used as basic data for oral health business plan that can maintain and manage oral health.
This study is used to understand the characteristics of home economics teachers that could to help develop personal development in home economics teacher and home economics education. The questionnaire survey was conducted on 150 home economics teachers who belong to either the home economics teachers' study association or Korean home economics education essociation. The survey was processed with frequency analysis, standard deviations, factor analysis, independent sample t-test, and reliability analysis using SPSS 12.0 depending on the contents of the research. The study results are as follows. First, for home economics teachers' conscious teaching, they build their own identities as experts, and have a vocation and sense of duty for their job. The culture of research and investigation community to study education and to maintain collaborative relationships with teachers of home economics teachers' associations has evolved. Second, home economics teachers have the ability to analyze and manage students' demands in order to perform teaching activities, and understand individual student characteristics. They understand new study trends and curriculum, develop sources for class, use appropriate teaching and learning theories, and create students' reflective activities. In addition, they grow their learning ability as specialist and study in self-oriented ways.
International Journal of Internet, Broadcasting and Communication
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v.13
no.2
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pp.60-66
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2021
Blockchain is a technology that enables trust-based consensus and verification based on a decentralized network. Distributed ID (DID) is based on a decentralized structure, and users have the right to manage their own ID. Recently, interest in self-sovereign identity authentication is increasing. In this paper, as a method for transparent and safe sovereignty management of data, among data pseudonymization techniques for blockchain use, various methods for data encryption processing are examined. The public key technique (homomorphic encryption) has high flexibility and security because different algorithms are applied to the entire sentence for encryption and decryption. As a result, the computational efficiency decreases. The hash function method (MD5) can maintain flexibility and is higher than the security-related two-way encryption method, but there is a threat of collision. Zero-knowledge proof is based on public key encryption based on a mutual proof method, and complex formulas are applied to processes such as personal identification, key distribution, and digital signature. It requires consensus and verification process, so the operation efficiency is lowered to the level of O (logeN) ~ O(N2). In this paper, data encryption processing for blockchain DID, based on zero-knowledge proof, was proposed and a one-way encryption method considering data use range and frequency of use was proposed. Based on the content presented in the thesis, it is possible to process corrected zero-knowledge proof and to process data efficiently.
International Journal of Computer Science & Network Security
/
v.23
no.8
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pp.101-106
/
2023
In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.
Park Chan-Woo;Park Joo-Nam;Wang Jong-Bae;Cho Yun-ok
Proceedings of the KSR Conference
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2005.11a
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pp.599-604
/
2005
As a public transportation possible to convey a large quantity, the railway is safe and keeps time, but it has hazards to cause a disaster if the accidents such as collision, derailment, and fire occur. So advanced countries carry out System Safety Plan with various program activities which have connected orders to maintain or improve safety level by finding hazards, evaluation, taking measures and practice, and improving problems. Especially they systematically manage hazards to cause railway accidents and the factors which possibly threat safety, using national classification of risk and causes with analysis of the related data such as establishing accident/incident data and safety regulations/standards. As executing railway safety regulations, domestic railway is currently trying to improve railway safety management system. The research of classification system of accidents/incidents is one thing to make railway safety management systems better. In this research, we reviewed hazardous factors of railway systems and classification of the causes as the beginning of system safety management, and we conducted study on development of railway accident classification based on findings of this research. The results are able to be used in identifying hazards and activities of systemic safety management at the step of railway accident report and investigation.
The purpose of this article was to study the influence of tangible clues of raw-fish restaurants on consumers' emotional responses and repurchasing behavior in eastern area of Kangwon-province. In this study frequency analysis, reliability analysis, factor analysis and path analysis(SEM) were applied to analyze the data. Through path analysis tangible clues' performances had generally significant influences upon consumers' emotional responses to buy products of raw-fish restaurants. According to the results, exterior facility had positive influence on pleasure(p<0.001) and arousal(p<0.01). Interior facility had positive influence on pleasure(p<0.001) and arousal(p<0.001), but negative on dominance(p<0.01). And the others had positive influence on pleasure(p<0.05). Press copy had positive influence on pleasure(p<0.001) and arousal(p<0.001). And Pleasure and arousal had positive influence on repurchasing behavior(p<0.001). But Dominance didn't have significant influence on repurchasing behavior. As a result, we studied that the tangible clues was an effective marketing tactic to maintain and increase consumers' positive emotional reponses to repurchase at restaurants. Therefore it is finally needed that dining-out corporations manage tangible clues in a customer-maintaining without additional costs, and especially to use mixing tangible clues each other in some suitable condition.
The Transactions of the Korea Information Processing Society
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v.7
no.1
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pp.126-134
/
2000
Version control is an application to maintain consistency between different instances of the same document allowing operations such as navigation, differencing, and merging. Most version control systems, however, lack the support of functionality for cooperative writing environment, such as to represent and store the history of the actions of different individuals, to effectively differentiate and merge the individual actions including the text object, and to manage different access privileges for different granularity and individuals. With the help of Activity IDentification (AID) tag and its unique addressing scheme proposed in this paper, differencing and merging become simple and effective. Access and role control is improved by associating the access right table and role assignment in AID scheme also eliminates the requirements for large storage capacity for version information maintenance.
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