Objectives : This study is a random-controlled post-design for confirmation of headache degree, quality of life, and satisfaction to therapeutical effect on chronic headache adults after management of non-medicinal treatment (acupuncture therapy and stellate ganglion block therapy). Methods : 51 clinical experiment participants were gathered and through a questioutaire patients who experienced headache for more than 4 hours a day and more than 15 days per month were qualified as chronic headache patients. The qualified patients were classified in to two groups, acupuncture group (AT group, n=28) and stellate ganglion block group (SGB group, n=23). Treatment was applied 2 times a weeks for 4 weeks. The effects of both groups were analyzed using VAS scores, BPI (Brief Pain Inventory) and the satisfaction degree to the therapy. Results : 1. The recognized score of the headache of AT group and SGB group was reduced indicating the degree of the headache was released. 2. The recognition at damage to the quality of life was reduced post therapy of AT group and SGB group, in which general activity, mood, enjoyment of life, personal relationship, and sleeping showed significant improvement of life quality, 3. The satisfaction degree to the therapy showed lower score than expectation to it in AT group and SGB group, however, it was not significant. Conclusions : The results showed that the four-week non-medicinal treatment (AT and SGB) in chronic headache patients was effective for reducing headache and releasing its damage in daily life, however, no difference in superiority was found. Therefore, non-medicinal treatment (AT therapy and SGB) could be utilized in chronic headache patients.
Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.
This paper examines discussions surrounding cognitive liberty, neuro-privacy, and mental integrity from the perspective of Neuro-rights. The right to control one's neurological data entails self-determination of collection and usage of one's data, and the right to object to any way such data may be employed to negatively impact oneself. As innovations in neurotechnologies bear benefits and downsides, a novel concept of the neuro-rights has been suggested to protect individual liberty and rights. In Oct. 2020, the Chilean Senate presented the 'Proyecto de ley sobre neuroderechos' to promote the recognition and protection of neuro-rights. This new bill defines all data obtained from the brain as neuronal data and outlaws the commerce of this data. Neurotechnology, especially when paired with big data and artificial intelligence, has the potential to turn one's neurological state into data. The possibility of inferring one's intent, preferences, personality, memory, emotions, and so on, poses harm to individual liberty and rights. However, the collection and use of neural data may outpace legislative innovation in the near future. Legal protection of neural data and the rights of its subject must be established in a comprehensive way, to adapt to the evolving data economy and technical environment.
Journal of the Korean Society for Library and Information Science
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v.55
no.4
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pp.187-217
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2021
This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian's personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.6
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pp.531-540
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2019
The purpose of this study was to establish the relationship between social support(MOS-SSS) and cognitive impairment(MMSE-K) to the elderly in long-term care facilities. The study subjects were 372 aged 65 and older who were admitted to care facilities located in D metropolitan city. Data were collected through a personal interview conducted by interviewers who visited each care facility in October 2018. As a result, the levels of cognitive impairment(MMSE-K) was significantly higher in the group with lower social support(MOS-SSS) scores. In correlation to the cognitive impairment and social support, the cognitive impairment score showed a significant positive correlation between the social support score (r=0.250, p<0.001). Therefore, the lower the social support level, the higher the level of cognitive impairment. In result of the logistic regression, the risk ratio of critical cognitive impairment increased significantly from 2.8 times (ORs=2.75, 95% CI=1.40 to 5.79) in the low group(Q1) than in the very high group(Q4) of social support scores. A hierarchical multiple regression analysis shows that the lower the social support, the higher the cognitive impairment. As such research suggests that the cognitive impairment of the elderly in care facilities increases with lower social support, it is necessary to seek concrete measures to improve social support as part of the measures to enhance the recognition capability of the elderly in care facilities.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.5
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pp.200-212
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2019
The purpose of this study is to examine the motivational factors of university graduates participating in 'Youth Technology Transfer Specialist Training Project(Youth TLO)' by applying Vroom's expectancy theory. Moreover, it is verified that the effect of actual participation behavior and individual performance improvement for the university graduates in Gyeonggi-do, Busan regions. The motivation factors were consisted of valence, instrumentality, and expectancy. An empirical analysis was conducted of the effects on the verification of the demographic characteristics of the target, the behaviour of personal business participation in the Valence and Force model, and the improvement of performance. Three results were inferred from 322 collected data as follows; First, comparative analysis about expectancy, which related to work experience, according to demographic characteristics such as gender, residence, age, and employment period revealed no significant differences in mean value, except career duration. Especially, the university graduates in 'Youth TLO' who had internship experience had the highest level of recognition for the expectancy. Second, both of valence and force model had influence on participation behavior and performance improvement. Notably, determination of coefficient for the valence model were higher than those for the force model. Third, level of mediation effects for the valence model were higher than those for the force model in respect of direct, indirect, and the total. Moreover, it was verified that the three motivation factors could improve individual performance and participation behavior had partial mediation effect.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.7
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pp.61-67
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2019
The purpose of this study is to apply self-leadership program using films to nursing students and to confirm the effects of self-leadership, empowerment, self-directed learning and happiness. The study participants were 60 nursing students, the data was collected from March 7, to June 13, 2017. The data was analyzed by frequency, percentage, mean, standard deviation, and paired t-test using SPSS WIN 24.0 computer program. The self-leadership program consisted of 13 sessions, and 14 films were used for self-management, self-training, and self-branding. The self-leadership of nursing students was significantly increased after education(t=-4.38, p<.001). In details, behavior-focused strategies, natural-reward strategies, and constructive thought pattern strategies were all significant. Empowerment also increased significantly after education(t=-5.83, p<.001), and personal skills, collective recognition, and self-determination were all significant. Self-directed learning were high after education(t=-3.31, p=.002), and learning plans and learning practices were significant. In addition, the happiness of nursing college students was significantly higher after education(t=-4.49, p<.001). As a result of this study, self-leadership program using movies can improve self-leadership, empowerment, self-directed learning and happiness of nursing students and It will be possible to apply as educational intervention in the future.
Based on sports known to reduce adolescents' smartphone addiction, this study aims to identify the structural causal relationship between sport commitment and smartphone addiction. First of all, based on prior studies, it was intended to show that adolescents' sport commitment is effective in reducing smartphone addiction through social support and ego-resilience, and that such causal relationships vary significantly depending on gender. To this end, a survey of 605 middle and high school students was conducted, and the structural relationship between the four established latent variables was analyzed by analyzing the structural equation model using the SPSS 25.0 and AMOS 23.0 programs. According to the analysis, adolescents' sport commitment was found to have an adverse effect on smartphone addiction, and social support and ego-resilience in the relationship between the two variables were found to have a mediated effect. In addition, these results showed significant differences in gender. This study expanded the field of smartphone addiction and sports convergence study by revealing the relationship between sport commitment as psychological recognition variable and addiction Unlike previous studies using a participation time, duration, and intensity, and suggested that structural relationships with personal characteristic variables and gender-specific approaches are important. Through this, it is meaningful that it provided basic data for in-depth convergence study in the smartphone addiction and development of gender-specific programs.
Journal of the Korea Academia-Industrial cooperation Society
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v.22
no.1
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pp.333-337
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2021
Companion animals are physically, mentally, and socially beneficial to humans, giving us great comfort in living in the Corona19 (COVID-19) era. It is also an era of the Fourth Industrial Revolution, featuring the convergence of information and communication technology. Korea, which is facing a super-aged society, has the highest suicide rate among OECD countries, and companion animals that are effective in emotional stability can be the answer. This study is about companion animals that are effective in stabilizing the emotions of the elderly, one of the major problems in the Republic of Korea, which is about to solve in a super-aged society with more than 20 percent of the elderly aged 65 or older, needs to solve. The impact of knowledge of raising companion animals on the satisfaction level of the elderly was investigated through the management and awareness of infectious diseases. Although the level of care of companion animals had a very significant (p<0.001) effect on the satisfaction of the companion animals, the recognition of infectious diseases has no statistical significance (p>0.05). Raising companion animals with knowledge of rearing increases the satisfaction level and can lead to a happier life. While personal learning is important, it is also believed that supporting education will be necessary as a policy consideration.
Personal hearing devices, such as hearing aids, may be fine-tuned by allowing the users to conduct self-adjustment. Two self-adjustment procedures were developed to collect the listener preferred gains in six octave-frequency bands from 0.25 kHz to 8 kHz. These procedures were designed to allow rapid exploration of a multi-dimensional parameter space using a simple, one-dimensional user control interface (i.e., a programmable knob). The two procedures differ in whether the user interface controls the gains in all frequency bands simultaneously (Procedure A) or only the gain in one frequency band (Procedure B) on a given trial. Monte-Carlo simulations suggested that for both procedures the gain preference identified by simulated listeners rapidly converged to the ground-truth preferred gain profile over the first 20 trials. Initial behavioral evaluations of the self-adjustment procedures, in terms of test-retest reliability, were conducted using 20 young, normal-hearing listeners. Each estimate of the preferred gain profile took less than 20 minutes. The deviation between two separate estimates of the preferred gain profile, conducted at least a week apart, was about 10 dB ~ 15 dB.
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