• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.25-33
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• 2023

Purpose : Stabilization exercise and respiratory muscle training are used to train trunk muscles that affect postural control and respiratory function. However, there have been no studies that combine stabilization exercise and respiratory muscle training. The purpose of this study is to investigate effects of stabilization exercise with and without respiratory muscle training on respiratory function and postural sway. Methods : Fifteen healthy adults were recruited for this experiment. All the subjects performed stabilization exercise with and without respiratory muscle training. For stabilization exercise with respiratory muscle training, the subjects sat on a gym ball wearing a stretch sensor. The subjects inspire maximally as long as possible during lifting one foot off the ground, alternately for 30 seconds. The stretch sensor was placed on both anterior superior iliac spine (ASIS), and the stretch sensor was used to monitor inspiration. For stabilization exercise without respiratory muscle training, the subjects sat on a gym ball and lifted one foot off the ground, without respiratory muscle training. Kinovea program used to investigate postural sway tracking during exercise. The maximum inspiratory pressure (MIP) and maximum expiratory pressure (MEP) were measured using a spirometer to investigate changes of respiratory muscle strength before and after exercise. A paired t-test was used to determine significant differences postural sway tracking, MIP, and MEP between stabilization exercise with and without respiratory muscle training. Results : There were significantly lower a distance of postural sway tracking during stabilization exercise with respiratory muscle training, compared with stabilization exercise without respiratory muscle training (p<.05). The MIP and MEP were significantly increased after stabilization exercise with respiratory muscle training compared with before stabilization exercise with respiratory muscle trianing (p<.05). Conclusion : The results of this study suggest that stabilization exercise with repiratory muscle training would be recommended to improve postural control and respiratory muscle strength.

• Knowledge Management Research
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• v.24 no.1
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• pp.73-97
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• 2023

Recently, the MyData market has been growing as the importance of data and issues related to personal information protection have drawn much attention together. MyData refers to the concept of guaranteeing an individual's right to personal information and providing and utilizing one's data according to individual consent. MyData service providers can combine and analyze customer information to provide personalized services. In the early days, the MyData business was activated mainly by private companies and the financial industry, but recently, public institutions are also actively taking advantage of MyData. Meanwhile, the importance of an individual's intention to provide MyData for the success of MyData businesses continues to increase, but research related to this is lacking. Moreover, existing studies have been mainly conducted on individual benefits of MyData; there are not enough studies in which both public benefit and perceived risk factors are considered at the same time. In this regard, this study intends to derive factors affecting the intention to provide MyData based on the privacy calculus model, examine their influencing mechanism, and further verify the moderating effects of individual capabilities and institutional type. This study can find academic significance in that it expanded and demonstrated the privacy calculus model in the context of MyData providing intention. In addition, the results of this study are expected to offer practical guidelines for developing and managing new services in MyData businesses.

• Development and Reproduction
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• v.2 no.2
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• pp.179-187
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• 1998

The effects of prostaglandins in hatching and implantation have been studied but the results were various, and those are not well known by the embryonic stage. The present study examined the effects of prostaglandin $E_2$(PG $E_2$) and prostaglandin $F_2$$_{\alpha}$ (PG $F_2$$_{\alpha}$) on the expansion and hatching of mouse embryos by embryonic stage. Also we tried to measure the concentration of prostaglandins of morula, expanded, and hatching embryos. In early morula stage embryos, high concentration of PG $E_2$(>100$\mu$M) showed cytotoxicity but PG $F_2$$_{\alpha}$ did not. The hatching was inhibited all groups but not gave negative effects on expansion. In 84 hr and 96 hr stage embryos, the hatching rate was decreased at all treatment groups but not inhibited the expansion. When combine prostaglandin with indomethacin, the hatching rate was increased significantly compared to the prostaglandin-treated groups, and as lower and lower the PG $E_2$ concentration, the hatching rate increased to the control level. The embryonic synthesis of PG $E_2$ increased dramatically but that of PG $F_2$$_{\alpha}$ increased gradually. PG $E_2$ showed cytotoxicity at early stage embryos much than late stage embryos, but PG $F_2$$_{\alpha}$ did not. Hatching was inhibited by the high PG $F_2$$_{\alpha}$ concentration. It is suggested that the inhibition of hatching might be at resulted from cytotoxicity of PG $E_2$ on embryo. However, it is thought that the mechanisms of inhibition of hatching are different between PG $E_2$ and PG $F_2$$_{\alpha}$. In conclusion, it can be suggested that PG $E_2$ and PG $F_2$$_{\alpha}$ concerned with the expansion and hatching, and their effects on hatching were different by the embryonic stage.$/ concerned with the expansion and hatching, and their effects on hatching were different by the embryonic stage.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.1
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• pp.82-95
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• 2015

This study is intended to obtain a guideline for creating a therapeutic garden soundscape in a psychiatric hospital by analyzing the psychological and physiological effects of auditory components on mental patients. The subjects were 27 inpatients at a psychiatric institute located in Jeollabuk-do. They were recommended by their doctors and had been diagnosed with mild cases of schizophrenia. The survey was carried out in October 2011. With regard to the study, the subjects listened to single sounds(the sound of flowing water, birdsong, wind chimes and music) and 4 sounds composed of some of these, and then Electroencephalography(EEG) and psychological effects were measured. The moving water sound was perceived as pleasing and revitalizing and the birdsong as sonorous and delightful. When designing a healing garden in a psychiatric hospital, the vitality of sound should be considered. In comparison to other single sounds, water sounds were highly preferred and had greater effects on psychological vitality. Music sounds had a significant effect on enhancing tranquility while water sounds affected on both psychological vitality and tranquillity. When comparing single sounds with combined sounds, single sounds such as running water for vitality and music for tranquility had a greater psychological effect than combined sounds. In terms of combined sound preferences, the combination of water and bird sounds had higher preference rates. Generally, combined sounds including water tended to have higher preference rates. The physiological effects of single sounds showed that music had a greater therapeutic effect than natural sounds such as water sounds and birdsong in promoting tranquility. As for combined sounds adopted to enhance physiological tranquility, it is most appropriate to combine music and birdsong or music and water sounds. However, a single music sound is more effective than combined sounds. Overall, analyses of both psychological and physiological reactions showed music and water sounds to be most calming while water sounds promoted the greatest vitality.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.65-79
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• 2022

Non-face-to-face classes continue due to Covid-19. There have been e-learning classes since the past, but the difference is that the current non-face-to-face classes are blended classes that combine real-time and recording classes or combine face-to-face and non-face classes. It is also characterized by being able to self-filmed or choose various lecture platforms in a place other than a dedicated studio. The advantages of non-face-to-face classes can be learned beyond time and space, and repetitive viewing and learning speed can be adjusted. Greening classes have no time and place constraints, and real-time classes have the advantage of high communication effects with learners. Evaluating whether non-face-to-face classes provide sufficient quality compared to face-to-face classes or e-learning will be necessary if branded classes are considered for post Covid. In this paper, for the evaluation of the service quality of non-face-to-face classes, the essential attributes desired by the instructors were derived from the viewpoint of Kano quality attributes and a quality improvement plan was proposed. After expressing the degree of functions that non-face-to-face classes should have on the X-axis and the satisfaction of learners on the Y-axis, 23 quality attributes were classified into 6 quality dimensions. In addition, satisfaction coefficient, dissatisfaction coefficient, and customer satisfaction improvement index were derived. As a result, 50% of learners were satisfied with non-face-to-face classes, but the preference was slightly higher than satisfaction, suggesting the sustainability of non-face-to-face classes. In terms of the customer satisfaction improvement index, the ranking of attributes with the largest increase in satisfaction when improving class quality was as follows. Professors' quick answers to learners' questions, content that can fully explain the subject, what the professor explains easily, develop high-quality content that can be learned on mobile phones, fairness of attendance checks, and real-time classes should start on time.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.59-68
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• 2015

It's important to analyse effects of word of mouth for making its impact higher in performance of motions pictures. And it's required to combine variety sales activities like free gift, promotion goods and price discount with word of mouth for the box office of film. The purpose of this study is to compare between groups classified by demographic characteristic into effects from word of mouth and methods of sales promotion in intention of watching film. On the other hand existing studies on sales activity and word of mouth were one-sided in theoretical background, a meaning of this study is theorizing a social phenomenon about sales promotion of movie giving actual examples that currently are effected by production company, Movie theaters, distribution company and affiliated company. For this purpose, it conducted a survey targeting 500 students in B university in Seoul city and 379 answers got received, and it proceeded this study with 369 answers except 10 inaccurate ones. Creating questionnaires with Likert 5 point scale, it decided that case of substantial inclination was 5 points and inverse one is 1 point. Doing analysis T and ANOVA according to male and female, kinds of major study and number of average monthly watching movie, it analysed the test results after comparison analysis between classified group. The results are summarized as follows: First, offering premiums is more effective by masculine than feminine, but situation of free gift is an opposite result. Second, there are no differences of effects word of mouth and methods of sales promotion by majority departments. Third, there are much differences between groups classified by average number of watching film in a month into effects from word of mouth and methods of sales promotion. Group of watching film more 3 times in a month is more effective than the other groups in intension of watching film by word of mouth. Fourth, word of mouth is great factor to increase intention of watching film and second one is discount on the price.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.289-334
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• 2018

Even though information in many languages other than English is quickly increasing, English is still playing the role of the lingua franca and being accounted for the largest proportion on the web. Therefore, it is necessary to investigate the key features and differences between "information searching behavior using mother tongue as a search language" and "information searching behavior using English as a search language" of users who are non-mother tongue speakers of English to acquire more diverse and abundant information. This study conducted the experiment on the web searching which is applied in concurrent think-aloud method to examine the information searching behavior and the cognitive process in Korean search and English search through the twenty-four undergraduate students at a private university in South Korea. Based on the qualitative data, this study applied the frequency analysis to web search pattern under search language. As a result, it is active, aggressive and independent information searching behavior in Korean search, while information searching behavior in English search is passive, submissive and dependent. In Korean search, the main features are the query formulation by extract and combine the terms from various sources such as users, tasks and system, the search range adjustment in diverse level, the smooth filtering of the item selection in search engine results pages, the exploration and comparison of many items and the browsing of the overall contents of web pages. Whereas, in English search, the main features are the query formulation by the terms principally extracted from task, the search range adjustment in limitative level, the item selection by rely on the relevance between the items such as categories or links, the repetitive exploring on same item, the browsing of partial contents of web pages and the frequent use of language support tools like dictionaries or translators.

• Journal of the Korean Applied Science and Technology
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• v.33 no.2
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• pp.374-384
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• 2016

Concern about air pollution is gradually rising up in domestic and foreign, automotive and fuel researchers are trying to reduce vehicle exhaust emissions, through a lot of approaches, which consist of new engine design and innovative after-treatment systems, using clean (eco-friendly alternative) fuels and fuel quality improvement. This research is proceeding by two main issues : exhaust emissions and PM particle emissions of gasoline vehicle. Exhaust emissions, non-regulated emissions and PM (particulate matter) particles of automotive are causing many problems which ambient pollution and harmful effects on the human body. The main particulate fraction of automotive exhaust emissions consists of small particles. Because of their small size, inhaled particles can easily penetrate deep into the lungs. The rough surfaces of these particles make it easier for them to combine with other toxins in the environment. Thus, the hazards of particle inhalation are increased. Based on the oxygenated fuel additive types (MTBE, Bio-ETBE, Bio-ethanol, Bio-butanol), this paper discussed the influence of oxygen contents on gasoline vehicle exhaust emissions, non-regulated emissions and nano-particle emissions. Also, this paper assessed exhaust emission characteristics at 2 type test modes. The test modes were FTP-75 and HWFET. All measurement items be verified less than the value of regulated emissions. It could be known difference increase and decrease by each measurement item depending on increase the oxygen contents.

• The Journal of Dong Guk Oriental Medicine
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• v.9
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• pp.139-154
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• 2000

This studies were examined in orther to investigate the object and the method of animal experimental papers on medicinal herbs of cancer therapeutic activities from the reported 23 literatures containing anti-cancer effects of medicinal herbs. The results were obtained as follows: 1. The oriental medicinal therapies on cancer were Pujeung(扶正法), Kuesa(祛邪法), Pujeungkuesa(扶正法邪法). 2. The experimental medicinal herbs of cancers therapy were 103 species, which was used for experimental cancer single or combine. Among then, Houttuyniae herba, Polyporus, Manitis squama, Evodiae fructus, Aucklandiae radix and Pharbitidis semen were effective for cancer treatment, while Houttuyniae herba inhibited tumor cells, but not normal cells. Also, Evodiae fructus, Aucklandiae radix and Pharbitidis semen showed strong cytoxicities on 20 different tumor cell lines, whereas Saururi herba seu rhizoma showed cytoxicity against HT-29 cell, melanoma, SK-MEL-5 cell, and Anemarrhenae rhizoma against ovarian tumor cell only, and Schizonepetae herba against HT-29 cell line only with a potent inhivitory activities. 3. P815 cell, Yac-1 cell, Sarcoma 180 cell, K 562 cell, and SNU-1 cells were frequently used as experimental cancer therapy.