• 재활복지
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• v.20 no.4
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• pp.31-54
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• 2016

The purpose of this study is to explore the improvement method of the emergency safety system as a social protection scheme for the elderly living alone with severe disabilities. The study was conducted by randomly choosing three regions in the metropolitan area (Jongno-gu, Seoul), the small-medium city (Yongin-si, Gyeonggi-do) and the rural area (Geochang-gun, Gyeongsangnam-do) among 17 cities and counties nationwide. The study method is based on the interview form of the structured questionnaires with city officials, county officials, and center operators. According to the results of the interview analysis, it was recognized that there was a need for an emergency safety system for the elderly living alone with severe disabilities. In spite of this necessity, there were problems about publicity for the discovery of victims of the blind spot in welfare, about inconvenience due to frequent malfunctions of the emergency equipment, about insufficient awareness of the security of the emergency officials and about supply and demand of manpower for 24-hour monitoring service. In order to improve the effective operation of the emergency safety system, it was the most urgent issue to formulate the legislation for responding to the crisis management of the vulnerable. A suggestion of this study is to build a safety system in which one-stop service is provided for the realization of compact welfare through the establishment of a MOU for linkage with community organizations, the full inspection of emergency equipment to solve safety equipment malfunction problems and the manpower supplement for 24-hour monitoring.

• 한국노년학
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• v.36 no.3
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• pp.633-648
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• 2016

This study focuses on the sleep pattern of the elderly people living in the community and its relationship to the occurrences of the depression and deterioration of the cognitive function. Our primary data is the raw data gathered by the Korean Ministry of Health and Welfare in 2008 in the National Senior Living Conditions and Well-being Needs Assessment Survey. The survey contained data from 12,087 people over 65 years of age living in the community. We have used the secondary data analysis method on this raw data to see if there exists correlation between age, gender, soundness of the sleep, total sleep time and the depression and the cognitive difficulties. Our study finds that the older a person is, the more trouble she has in sleeping. It also shows that too much sleep (in excess of 9 hours) and too little sleep (less than 6 hours) can both be linked to more occurrence of depression. Lack of restful sleep could also be linked to more frequent occurrence of depression and cognitive difficulties. Changes in the sleep pattern is not always pathological in elderly people. However, our study shows that it is important the primary health-care givers understand the role of sleep in elderly person's daily life. They should examine the elderly person's sleep pattern focusing on the quantity and the quality of sleep and develop programs suited for individuals to prevent and intervene sleep disorder.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.15 no.1
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• pp.74-78
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• 2019

Atypical teratoid rhabdoidal tumor(AT/RT) is a rare and fast-growing tumor usually diagnosed in childhood. Routine magnetic resonance imaging(MRI) assessment of AT/RT patients is done to detect metastatic tumors and recurrent lesions. The purpose of this case report is to present a case about caries treatment of a 3-year-8-month old female patient with AT/RT under general anesthesia. A 3-year-8-month old patient with AT/RT visited Seoul National University Dental Hospital for caries treatment. At the first dental visit, she was receiving chemotherapy. Multiple caries were observed from clinical and radiographic examination. The dental procedure was successfully performed under general anesthesia. Patients with brain tumor may take routine MRI to detect metastatic tumors and recurrent lesions. Dentists should take into consideration of possible dislodgement of restoration by ferromagnetic properties and artifact formation on MRI image. Ready-made zirconia crowns can be a good restoration option for such patients.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.15 no.1
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• pp.50-54
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• 2019

Muscular dystrophy (MD) is a heterogeneous group of inherited neuromuscular disorders, characterized by progressive muscle weakness. Severity of the disease ranges from mild to severe, and the disease is mostly caused by mutations in a number of genes. These genetic mutations cause lack of proteins which are essential for muscle cell stability. Muscle fibers are gradually replaced by fat and fibrous tissue. The muscles of the head and neck are affected in several types of MD that manifest as altered craniofacial morphology and dental malocclusion. A 3-year-10-month old, 15.0 kg boy with MD presented to Seoul National University Dental Hospital, Seoul, South Korea because of extensive carious teeth. A number of dental caries in primary dentition were identified during clinical oral examination. Due to dental anxiety and underlying systemic disease, general anesthesia was considered. General anesthesia was induced and maintained with intravenous anesthetics, propofol and remifentanil. Caries treatments - resin restoration, pulpectomy, zirconia crown restoration, stainless steel crown restoration - were performed. Under general anesthesia, successful dental procedure was done. Total intravenous anesthesia (TIVA) was performed instead of inhalation anesthesia in order to avoid risk of complications such as malignant hyperthermia and life-threatening rhabdomyolysis. With decreasing muscle function, plaque control becomes more difficult and leads to gingivitis. Especially, the open-mouth posture worsens gingivitis and can leads to malocclusions and problems in swallowing. Regular and periodic dental care is essential for maintaining oral health for patients with MD.

• Convergence Security Journal
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• v.18 no.1
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• pp.19-31
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• 2018

As the ICT technologies advance, the unprecedently large amount of digital data is created, transferred, stored, and utilized in every industry. With the data scale extension and the applying technologies advancement, the new services emerging from the use of large scale data make our living more convenient and useful. But the cybercrimes such as data forgery and/or change of data generation time are also increasing. For the data security against the cybercrimes, the technology for data integrity and the time verification are necessary. Today, public key based signature technology is the most commonly used. But a lot of costly system resources and the additional infra to manage the certificates and keys for using it make it impractical to use in the large-scale data environment. In this research, a new and far less system resources consuming signature technology for large scale data, based on the Hash Function and Merkle tree, is introduced. An improved method for processing the distributed hash trees is also suggested to mitigate the disruptions by server failures. The prototype system was implemented, and its performance was evaluated. The results show that the technology can be effectively used in a variety of areas like cloud computing, IoT, big data, fin-tech, etc., which produce a large-scale data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.394-405
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• 2019

The purpose of this study is to clarify the concept of the frail elderly and to obtain theoretical evidence. The research method was conducted using the basic principles for conceptual analysis of Walker and Avant(2005). As a Result of a review of the literature about how to utilize the concept of a frail elderly, frail elderly might be in the intermediate state of health and disease. They can be defined as physically vulnerable in the sarcopenia, inflammation, insulin resistance, and preceding advanced disease, lead to hospitalization, falls, disability, and death. The attributes were physiological, psychological, and socio-environmental and economic factors, so they had multidimensional factors. They were required the assist daily living of another person. Also, their attributes had decreased the amount of recovery time and degree, and exhaustion. The attributes of frail elderly consisted of these facts: dynamic process, multidimensional factors, dependency, vulnerability. The frail elderly was a dynamic process that involves the possibility of change to health and disease, and include physical, mental, cognitive, and social environmental factors. In addition, the frail elderly was difficulty in daily life, physical vulnerability and difficulty in adaption. In conclusion, frail elderly as defined by the results of this study will contribute to the foundation of health care systems, including community visiting nursing to understand the level of frail elderly and systemic management to do not go into long term care.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.14 no.2
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• pp.97-101
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• 2018

Lesch-Nyhan syndrome is a rare X-linked recessive genetic disorder. During purine metabolism, the hypoxanthine guanine phosphribosyl transferase (HGPRT) enzyme is deficient causing phosphoribosyl transferase to accumulate and resulting in excessive uric acid. Clinical symptoms include hypercalcemia, choreoathetosis, spasticity, mental retardation, and self-injury to lips, tongue or fingers. This results not only in pain caused by the self-injury but also secondary infection of the wound site and the esthetic damage of the soft tissue defect. Dental treatments include conservative methods using intraoral appliances such as soft mouthguards, fixed lip bumpers, and occlusal guards, and invasive methods such as extraction of all teeth or forming an artificial anterior open bite. We report two cases of Lesch-Nyhan syndrome patients with self-mutilation behavior; one was treated with a preservative method using a soft mouthguard, and the other was treated with extraction of all teeth.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.589-598
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• 2019

This study was conducted to build a structural equation model explaining factors that affect hemodialysis patients' quality of life to test the goodness of fit of the model and identify directly and indirectly significant paths. To accomplish this, 230 patients receiving hemodialysis registered at study hospitals in G Metropolitan City and M City were randomly selected, and 201 were used in the final analysis. Data were collected using a self reporting questionnaire from February 1 to March 31, 2014. SPSS WIN 18.0 was used for descriptive statistics and correlation analysis of the general characteristics and for reliability analysis of the research tools. In addition, AMOS 18.0 was used for confirmatory factor analysis of latent variables, to determine the goodness of fit of the hypothetic model, and hypotheses testing. The results of this study were as follows: the fit of the modified model was 41.32, GFI = .96, AGFI = .92, RMR = .04, NFI = .96, CFI = .91 and TLI = .95. Twelve out of the 22 research hypotheses that were improved and improved were statistically significant. The results indicated that hemodialysis patients' quality of life was influenced directly by self-efficacy, depression, and self-care behavior, and indirectly by sleep disturbance, stress, fatigue, and family support. These variables explained 58.6% of the variation in quality of life. Overall, these findings suggest that nursing interventions for hemodialysis patients require strategies for managing patient depression and for increasing self-efficacy and self-care behavior to improve quality of life.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.2
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• pp.127-134
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• 2019

With the advancement of IT technology, the amount of data generated has been growing exponentially every year. As an alternative to this, research on distributed systems and in-memory based big data processing schemes has been actively underway. The processing power of traditional big data processing schemes enables big data to be processed as fast as the number of nodes and memory capacity increases. However, the increase in the number of nodes inevitably raises the frequency of failures in a big data infrastructure environment, and infrastructure management points and infrastructure operating costs also increase accordingly. In addition, the increase in memory capacity raises infrastructure costs for a node configuration. Therefore, this paper proposes an in-memory-based hybrid big data processing scheme for improve the big data processing rate. The proposed scheme reduces the number of nodes compared to traditional big data processing schemes based on distributed systems by adding a combiner step to a distributed system processing scheme and applying an in-memory based processing technology at that step. It decreases the big data processing time by approximately 22%. In the future, realistic performance evaluation in a big data infrastructure environment consisting of more nodes will be required for practical verification of the proposed scheme.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.39-48
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• 2021

According to International Associating for the Study of Pain (IASP) definition, neuropathic pain is a disorder characterized by dysfunction of the nervous system that, under normal conditions, mediates virulent information to the central nervous system (CNS). This pain can be divided into a disease with provable lesions in the peripheral or central nervous system and states with an incorporeal lesion of any nerves. Both conditions undergo long-term and chronic processes of change, which can eventually develop into chronic pain syndrome, that is, nervous system is inappropriately adapted and difficult to heal. However, the treatment of neuropathic pain itself is incurable from diagnosis to treatment process, and there is still a lack of notable solutions. Recently, several studies have observed the responses of CNS to harmful stimuli using image analysis technologies, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and optical imaging. These techniques have confirmed that the change in synaptic-plasticity was generated in brain regions which perceive and handle pain information. Furthermore, these techniques helped in understanding the interaction of learning mechanisms and chronic pain, including neuropathic pain. The study aims to describe recent findings that revealed the mechanisms of pathological pain and the structural and functional changes in the brain. Reflecting on the definition of chronic pain and inspecting the latest reports will help develop approaches to alleviate pain.