• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.2
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• pp.70-81
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• 2013

In this study, the locational and constructional characteristics of Jukrimseowon, pavilion Imrijeong, and Palgwaejeong located in Nonsan, Ganggyung-eup were reviewed and the interrelation of these three places were studied through references including records of those days; Sagyeyonbo(沙溪年譜), Jukrimseowon dorok(竹林書院都錄), Imrijeonggi(臨履亭記), Jukrimseowon Myojeongbi(竹林書院廟庭碑), Namyurok(南遊錄). The result is as follows. Jukrimseowon enshrining Yukhyeon(六賢) is arranged as 'Hongsalmoon-Woisalmoon-Dongjae(憲章堂; Heonjangdang)' and 'LIbrary-Naesammoon(神門; shin moon)-Sau(竹林祠: Jukimsa)', excluding a lecture hall. In case of Sagye Jangsang Kim's Imrijeong(沙溪金長生) and Uam Shiyoel Song(尤庵宋時烈)'s Palgwaejeong respectively constructed 50 meters and 10 meters each away from Jurimseowon, detail designs such as scale, roofs, surface, windows, doors, and tablets as well as its prospect are nearly identified. Especially Taking Imrijeong and Palgwaejeong's locational conditions composed of rocks centered on Jukrimseowon, those are maintain the bilateral symmetry as much as possible and surround the shrine. It appeared that the Jukrimseowon's shrine enshrining Yulgok(栗谷) and Ugye(牛溪) was rebuilt during the reconstruction of auditoriums because of political conditions after the renovation of Kiing Injo and it was called as 'Hwangsanseowon(黃山書院)' with Imrijeong which was a lecture hall. It was an inevitable consequence to keep the bilateral symmetry which is a basic order of auditorium structure by maintaining and using Imrijeong and Palgwaejeong as a lecture hall of the auditorium after the reconstruction at least. Consequently, the desperate attempt to adjust the arrangement and visual imbalance of Imrijeong built with periodical differences and Hwangsanseowon resulted from the construction of shrine was Palgwaejeong built under Monggoibyuk of Hwansan Taken these circumstances together, Jukrimseowon is a 'shrine-centered auditorium' with characteristics of auditorium, constructed by integrating Imrijeong which was used as a lecture hall after the construction of shrine and Palgwaejeong repaired through the reconstruction. The construction of Palgwaejeong and the formative conformity with Imrijeong are assumed as an consequence intended for the compensation of Jukrimseowon's function and role as an auditorium. This study will provide an opportunity to focus on the auditorium and pavilion's complementary function as well as the Confucian and constructional functions by revealing the fact that pavilions were established as a complementary facility for the lecture hall of auditorium.

• Journal of Hospice and Palliative Care
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• v.14 no.1
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• pp.8-19
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• 2011

Purpose: This study identifies research trends and provides fundamental data related to curative power of aromatherapy to relieve pain in Korea. Methods: The study analyzed 44 experimental studies on humans that were published in Korea before the end of December, 2009. The key words used for searching were: aroma, aromatherapy, hyang-yobeob, hyanggi-yobeob, hyanggichilyo, aromatherapy and pain, headache, scapulodynia, omodynia, feeling uncomfortable in the perineal region, sense of pain, labor pains, arm pain, menstrual pain, aches, and dysmenorrheal. Those words were found on websites, including those for Korea Education & Research Information Service, the National Assembly Library, KISS, KoreaMed, and NDSL. Collected data were analyzed using descriptive statistics. Results: The results showed that most of essential oils to relieve pain is composed of three to four kinds of oils, including Lavender, Roman chamomile, Rosemary, and Clarysage. Aromatherapy is applied usually by means of massage (50%), inhalation (13.6%), or a combination of the above two (13.6%). Measuring instruments as a dependent variable include VAS, questionnaire, GRS, blood pressure, pulse, and Algometer. Aromatherapy plays an important role in soothing headaches and arthralgia. However, when it comes to labor and menstrual pain, it doesn't seem to be effective. Conclusion: The study found that different kinds of oil, frequencies, and periods of time are used for the same symptoms. Further research should employ standardized oil blending, application, duration, and measuring instruments, and more systematically analyze the effects of aromatherapy to establish the effects on relieving pain.

• Journal of Life Science
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• v.24 no.4
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• pp.343-351
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• 2014

Phosphoinositide 3-kinase (PI3K) plays a central role in cell signaling and leads to cell proliferation, survival, motility, exocytosis, and cytoskeletal rearrangements, as well as specialized cell responses, superoxide production, and cardiac myocyte growth. PI3K is divided into three classes; type I PI3K is preferentially expressed in leukocytes and activated by ${\beta}{\gamma}$ subunits of heterotrimeric G-proteins. In this study, the cDNAs encoding the $PI3K{\gamma}$ gene were isolated from a brain cDNA library constructed using the flounder (Paralichthys olivaceus). The sequence of the isolated $PI3K{\gamma}$ was 1341 bp, encoding 447 amino acids. The nucleotide sequence of the $PI3K{\gamma}$ gene was analyzed with that of other species, including Oreochromis niloticus and Danio rerio, and it turned out to be well conserved during evolution. The $PI3K{\gamma}$ gene was subcloned into the expression vector pET-44a(+), and expressed in the E. coli BL21 (DE3) codon plus cell. The resulting protein was expressed as a fusion protein of approximately 49 kDa containing a C-terminal six-histidine extension that was derived from the expression vector. The expressed protein was purified to homogeneity by His-tag affinity chromatography and showed enzymatic activity corresponding to $PI3K{\gamma}$. The binding of wortmannin to $PI3K{\gamma}$, as detected by anti-wortmannin antisera, closely followed the inhibition of the kinase activities. The results obtained from this study will provide a wider base of knowledge on the primary structure and characterization of the $PI3K{\gamma}$ at the molecular level.

• Analyses & Alternatives
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• v.6 no.1
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• pp.69-114
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• 2022

This paper analyzes Taiwan's 「New Southbound Policy」 from the perspective of 'balancing' and 'bandwagoning' in international politics. Specifically, it examines the changes and characteristics of 'Southbound policies' that have continued since the period of the Lee Teng-hui(李登輝) administration, and examines the meaning of the New Southbound Policy promoted by the Tsai Ing-wen(蔡英文) administration. Taiwan's foreign policy has been strongly influenced by external variables such as U.S.-China relations. Previous Taiwanese governments have actively promoted Southbound policies to advance to Southeast Asian countries such as ASEAN with the aim of 'De-Sinicization', but have not achieved much results. This is because variables such as cooperative U.S.-China relations and strong checks from China played a role at the time. In this environment, Taiwan had to pursue an appropriate 'balancing' between the United States, China, and Southeast Asian countries. However, since the inauguration of the Trump administration, strategic competition between the U.S. and China has been maximized, creating a new space for Taiwan's foreign policy. This is because the U.S. valued cooperation with Taiwan in the process of embodying the 'Indo-Pacific Strategy' to curb China's rise. The New Southbound Policy promoted by the Tsai Ing-won administration is different from the existing Southbound policies in that it seeks to link with the U.S. India-Pacific Strategy and attempts to advance to South Asian countries such as India. From an international political point of view, the Tsai Ing-won administration's New Southbound Policy can be interpreted as a 'bandwagoning' to the United States, not a balanced strategy between the U.S. and China. Strategic competition between the U.S. and China is expected to intensify for a considerable period of time in the future, and honeymoon between Taiwan and the U.S. are also expected to continue. Taiwan's bandwagoning strategy, which actively pursues a link between the New Southbound Policy and the India-Pacific Strategy, is also expected to be maintained.

• Asia pacific journal of information systems
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• v.21 no.1
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• pp.103-122
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• 2011

Recently, numerous documents have been made available electronically. Internet search engines and digital libraries commonly return query results containing hundreds or even thousands of documents. In this situation, it is virtually impossible for users to examine complete documents to determine whether they might be useful for them. For this reason, some on-line documents are accompanied by a list of keywords specified by the authors in an effort to guide the users by facilitating the filtering process. In this way, a set of keywords is often considered a condensed version of the whole document and therefore plays an important role for document retrieval, Web page retrieval, document clustering, summarization, text mining, and so on. Since many academic journals ask the authors to provide a list of five or six keywords on the first page of an article, keywords are most familiar in the context of journal articles. However, many other types of documents could not benefit from the use of keywords, including Web pages, email messages, news reports, magazine articles, and business papers. Although the potential benefit is large, the implementation itself is the obstacle; manually assigning keywords to all documents is a daunting task, or even impractical in that it is extremely tedious and time-consuming requiring a certain level of domain knowledge. Therefore, it is highly desirable to automate the keyword generation process. There are mainly two approaches to achieving this aim: keyword assignment approach and keyword extraction approach. Both approaches use machine learning methods and require, for training purposes, a set of documents with keywords already attached. In the former approach, there is a given set of vocabulary, and the aim is to match them to the texts. In other words, the keywords assignment approach seeks to select the words from a controlled vocabulary that best describes a document. Although this approach is domain dependent and is not easy to transfer and expand, it can generate implicit keywords that do not appear in a document. On the other hand, in the latter approach, the aim is to extract keywords with respect to their relevance in the text without prior vocabulary. In this approach, automatic keyword generation is treated as a classification task, and keywords are commonly extracted based on supervised learning techniques. Thus, keyword extraction algorithms classify candidate keywords in a document into positive or negative examples. Several systems such as Extractor and Kea were developed using keyword extraction approach. Most indicative words in a document are selected as keywords for that document and as a result, keywords extraction is limited to terms that appear in the document. Therefore, keywords extraction cannot generate implicit keywords that are not included in a document. According to the experiment results of Turney, about 64% to 90% of keywords assigned by the authors can be found in the full text of an article. Inversely, it also means that 10% to 36% of the keywords assigned by the authors do not appear in the article, which cannot be generated through keyword extraction algorithms. Our preliminary experiment result also shows that 37% of keywords assigned by the authors are not included in the full text. This is the reason why we have decided to adopt the keyword assignment approach. In this paper, we propose a new approach for automatic keyword assignment namely IVSM(Inverse Vector Space Model). The model is based on a vector space model. which is a conventional information retrieval model that represents documents and queries by vectors in a multidimensional space. IVSM generates an appropriate keyword set for a specific document by measuring the distance between the document and the keyword sets. The keyword assignment process of IVSM is as follows: (1) calculating the vector length of each keyword set based on each keyword weight; (2) preprocessing and parsing a target document that does not have keywords; (3) calculating the vector length of the target document based on the term frequency; (4) measuring the cosine similarity between each keyword set and the target document; and (5) generating keywords that have high similarity scores. Two keyword generation systems were implemented applying IVSM: IVSM system for Web-based community service and stand-alone IVSM system. Firstly, the IVSM system is implemented in a community service for sharing knowledge and opinions on current trends such as fashion, movies, social problems, and health information. The stand-alone IVSM system is dedicated to generating keywords for academic papers, and, indeed, it has been tested through a number of academic papers including those published by the Korean Association of Shipping and Logistics, the Korea Research Academy of Distribution Information, the Korea Logistics Society, the Korea Logistics Research Association, and the Korea Port Economic Association. We measured the performance of IVSM by the number of matches between the IVSM-generated keywords and the author-assigned keywords. According to our experiment, the precisions of IVSM applied to Web-based community service and academic journals were 0.75 and 0.71, respectively. The performance of both systems is much better than that of baseline systems that generate keywords based on simple probability. Also, IVSM shows comparable performance to Extractor that is a representative system of keyword extraction approach developed by Turney. As electronic documents increase, we expect that IVSM proposed in this paper can be applied to many electronic documents in Web-based community and digital library.

• Korean small business review
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• v.31 no.4
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• pp.67-93
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• 2009

The purpose of this paper is to explore the relations between financial constraints and dividend smoothing of innovative small and medium sized enterprises(SMEs) listed on Korea Securities Market and Kosdaq Market of Korea Exchange. The innovative SMEs is defined as the firms with high level of R&D intensity which is measured by (R&D investment/total sales) ratio, according to Chauvin and Hirschey (1993). The R&D investment plays an important role as the innovative driver that can increase the future growth opportunity and profitability of the firms. Therefore, the R&D investment have large, positive, and consistent influences on the market value of the firm. In this point of view, we expect that the innovative SMEs can adjust dividend payment faster than the noninnovative SMEs, on the ground of their future growth opportunity and profitability. And also, we expect that the financial unconstrained firms can adjust dividend payment faster than the financial constrained firms, on the ground of their financing ability of investment funds through the market accessibility. Aivazian et al.(2006) exert that the financial unconstrained firms with the high accessibility to capital market can adjust dividend payment faster than the financial constrained firms. We collect the sample firms among the total SMEs listed on Korea Securities Market and Kosdaq Market of Korea Exchange during the periods from January 1999 to December 2007 from the KIS Value Library database. The total number of firm-year observations of the total sample firms throughout the entire period is 5,544, the number of firm-year observations of the dividend firms is 2,919, and the number of firm-year observations of the non-dividend firms is 2,625. About 53%(or 2,919) of these total 5,544 observations involve firms that make a dividend payment. The dividend firms are divided into two groups according to the R&D intensity, such as the innovative SMEs with larger than median of R&D intensity and the noninnovative SMEs with smaller than median of R&D intensity. The number of firm-year observations of the innovative SMEs is 1,506, and the number of firm-year observations of the noninnovative SMEs is 1,413. Furthermore, the innovative SMEs are divided into two groups according to level of financial constraints, such as the financial unconstrained firms and the financial constrained firms. The number of firm-year observations of the former is 894, and the number of firm-year observations of the latter is 612. Although all available firm-year observations of the dividend firms are collected, deletions are made in the case of financial industries such as banks, securities company, insurance company, and other financial services company, because their capital structure and business style are widely different from the general manufacturing firms. The stock repurchase was involved in dividend payment because Grullon and Michaely (2002) examined the substitution hypothesis between dividends and stock repurchases. However, our data structure is an unbalanced panel data since there is no requirement that the firm-year observations data are all available for each firms during the entire periods from January 1999 to December 2007 from the KIS Value Library database. We firstly estimate the classic Lintner(1956) dividend adjustment model, where the decision to smooth dividend or to adopt a residual dividend policy depends on financial constraints measured by market accessibility. Lintner model indicates that firms maintain stable and long run target payout ratio, and that firms adjust partially the gap between current payout rato and target payout ratio each year. In the Lintner model, dependent variable is the current dividend per share(DPS_t), and independent variables are the past dividend per share(DPS_t-1) and the current earnings per share(EPS_t). We hypothesized that firms adjust partially the gap between the current dividend per share(DPS_t) and the target payout ratio(Ω) each year, when the past dividend per share(DPS_t-1) deviate from the target payout ratio(Ω). We secondly estimate the expansion model that extend the Lintner model by including the determinants suggested by the major theories of dividend, namely, residual dividend theory, dividend signaling theory, agency theory, catering theory, and transactions cost theory. In the expansion model, dependent variable is the current dividend per share(DPS_t), explanatory variables are the past dividend per share(DPS_t-1) and the current earnings per share(EPS_t), and control variables are the current capital expenditure ratio(CEA_t), the current leverage ratio(LEV_t), the current operating return on assets(ROA_t), the current business risk(RISK_t), the current trading volume turnover ratio(TURN_t), and the current dividend premium(DPREM_t). In these control variables, CEA_t, LEV_t, and ROA_t are the determinants suggested by the residual dividend theory and the agency theory, ROA_t and RISK_t are the determinants suggested by the dividend signaling theory, TURN_t is the determinant suggested by the transactions cost theory, and DPREM_t is the determinant suggested by the catering theory. Furthermore, we thirdly estimate the Lintner model and the expansion model by using the panel data of the financial unconstrained firms and the financial constrained firms, that are divided into two groups according to level of financial constraints. We expect that the financial unconstrained firms can adjust dividend payment faster than the financial constrained firms, because the former can finance more easily the investment funds through the market accessibility than the latter. We analyzed descriptive statistics such as mean, standard deviation, and median to delete the outliers from the panel data, conducted one way analysis of variance to check up the industry-specfic effects, and conducted difference test of firms characteristic variables between innovative SMEs and noninnovative SMEs as well as difference test of firms characteristic variables between financial unconstrained firms and financial constrained firms. We also conducted the correlation analysis and the variance inflation factors analysis to detect any multicollinearity among the independent variables. Both of the correlation coefficients and the variance inflation factors are roughly low to the extent that may be ignored the multicollinearity among the independent variables. Furthermore, we estimate both of the Lintner model and the expansion model using the panel regression analysis. We firstly test the time-specific effects and the firm-specific effects may be involved in our panel data through the Lagrange multiplier test that was proposed by Breusch and Pagan(1980), and secondly conduct Hausman test to prove that fixed effect model is fitter with our panel data than the random effect model. The main results of this study can be summarized as follows. The determinants suggested by the major theories of dividend, namely, residual dividend theory, dividend signaling theory, agency theory, catering theory, and transactions cost theory explain significantly the dividend policy of the innovative SMEs. Lintner model indicates that firms maintain stable and long run target payout ratio, and that firms adjust partially the gap between the current payout ratio and the target payout ratio each year. In the core variables of Lintner model, the past dividend per share has more effects to dividend smoothing than the current earnings per share. These results suggest that the innovative SMEs maintain stable and long run dividend policy which sustains the past dividend per share level without corporate special reasons. The main results show that dividend adjustment speed of the innovative SMEs is faster than that of the noninnovative SMEs. This means that the innovative SMEs with high level of R&D intensity can adjust dividend payment faster than the noninnovative SMEs, on the ground of their future growth opportunity and profitability. The other main results show that dividend adjustment speed of the financial unconstrained SMEs is faster than that of the financial constrained SMEs. This means that the financial unconstrained firms with high accessibility to capital market can adjust dividend payment faster than the financial constrained firms, on the ground of their financing ability of investment funds through the market accessibility. Futhermore, the other additional results show that dividend adjustment speed of the innovative SMEs classified by the Small and Medium Business Administration is faster than that of the unclassified SMEs. They are linked with various financial policies and services such as credit guaranteed service, policy fund for SMEs, venture investment fund, insurance program, and so on. In conclusion, the past dividend per share and the current earnings per share suggested by the Lintner model explain mainly dividend adjustment speed of the innovative SMEs, and also the financial constraints explain partially. Therefore, if managers can properly understand of the relations between financial constraints and dividend smoothing of innovative SMEs, they can maintain stable and long run dividend policy of the innovative SMEs through dividend smoothing. These are encouraging results for Korea government, that is, the Small and Medium Business Administration as it has implemented many policies to commit to the innovative SMEs. This paper may have a few limitations because it may be only early study about the relations between financial constraints and dividend smoothing of the innovative SMEs. Specifically, this paper may not adequately capture all of the subtle features of the innovative SMEs and the financial unconstrained SMEs. Therefore, we think that it is necessary to expand sample firms and control variables, and use more elaborate analysis methods in the future studies.