• Journal of Korea Port Economic Association
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• v.34 no.4
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• pp.69-84
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• 2018

The purpose of this study is to provide a comparative evaluation of container port criteria at four major container ports in the Bay of Bengal, including Colombo Port in Sri Lanka, Chennai Port in India, Chittagong Port in Bangladesh and Yangon Port in Myanmar. Important container port selection criteria are identified and comparisons among container ports are made using previous studies, personal interviews and questionnaires, completed by top shipping companies, freight forwarders, logistics service providers, and experts in Myanmar. The AHP method is used to verify the research model and hypothesis. This study identified five main criteria and eleven sub-criteria when choosing potential regional hub ports among the four ports in the Bay of Bengal. The main findings from the five main criteria suggest that port efficiency is the highest priority criteria, and the second priority is port costs. The criteria of geographical location and available port facilities are the third and fourth most important, respectively, and the last priority is port's hinterland. Regarding the relative competition among these ports, Colombo Port obtained the highest priority among the four influential factors except for port hinterland. This study has certain limitations that will require future research. First, the sample group for the population size is relatively small. Second, interviewees had limited experience answering questionnaires using this methodology and a limited amount of time was available for respondents for the interviews.

• Korean Journal of Psychosomatic Medicine
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• v.23 no.2
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• pp.79-85
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• 2015

Objectives : To investigate clinical and symptomatic differences among motoric subtypes of delirium. Methods : A total of 256 patients referred to psychiatric consultation services for delirium due to general medical condition were assessed retrospectively. Motoric subtypes were determined according to Lipowski's criteria for hyperactive, hypoactive and mixed subtypes. All patients were evaluated according to Delirium Rating Scale-Revised-98(DRS-98-R) by trained psychiatrists to obtain symptomatic profiles of delirium. Results : Hyperactive subtype were 50.8%(n=130), mixed 46.1%(n=118) and hypoactive 3.1%(n=8). Hyperactive patients were younger than mixed subtype($69.62{\pm}13.976$ vs. $73.97{\pm}11.569$, p=0.022) and received antipsychotics to manage symptoms of delirium more frequently(83.8% vs. 57.6%, p<0.001). Hyperactive patients had higher DRS-R-98 scores on both noncognitive($7.14{\pm}3.543$ for hyperactive, $5.62{\pm}3.279$ for mixed subtype) and cognitive subscales($10.00{\pm}3.574$ for hyperactive, $6.38{\pm}2.875$ for hypoactive, $7.43{\pm}3.771$ for mixed subtype, p<0.001). Conclusions : We demonstrated that clinical and symptomatic profiles were different across motoric subtypes in delirium. Diagnostic and therapeutic approach should be made differently according to motoric subtypes of delirium and special attention is needed not to underestimate or delay treatment in specific motoric subtype of delirium.

• Geophysics and Geophysical Exploration
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• v.22 no.1
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• pp.1-11
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• 2019

Well logging technologies are used to measure the physical properties of reservoirs through boreholes. These technologies have been utilized to understand reservoir characteristics, such as porosity, fluid saturation, etc., using equations based on rock physics models. The analysis of well logs is performed by selecting a reliable rock physics model adequate for reservoir conditions or characteristics, comparing the results using the Archie's equation or simandoux method, and determining the most feasible reservoir properties. In this study, we developed a joint inversion algorithm to estimate physical properties in shaly sandstone reservoirs based on the pre-existing algorithm for sandstone reservoirs. For this purpose, we proposed a rock physics model with respect to shale volume, constructed the Jacobian matrix, and performed the sensitivity analysis for understanding the relationship between well-logging data and rock properties. The joint inversion algorithm was implemented by adopting the least-squares method using probabilistic approach. The developed algorithm was applied to the well-logging data obtained from the Colony gas sandstone reservoir. The results were compared with the simandox method and the joint inversion algorithms of sand stone reservoirs.

• (The)Study of the Eastern Classic
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• no.37
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• pp.307-344
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• 2009

This year of 2009 is the 420th anniversary for the high treason case in the year of ox (year 1589). Until now, there is an endless discussion still progressing about Jeong, Yeo Rip. The evaluation of such individual varies widely according to the viewpoint of each individual. However, the problem is that such confusion or issue is exaggerated under the pretense of his idea's progressivity. The true identity and ideology of Jeong, Yeo Rip will become clear once we review such fact from the origin. This article considered abstract and ideological evaluation of occasion and took its approach thoroughly based on the historical research of literature. Until now, some parts academic world have denied and argued about the fabrication about every details of Jeong, Yeo Rip and event of high treason in the year of ox while accepting the habitual sentence spoken by such individual without a doubt. They have exaggerated Jeong, Yeo Rip as an 'Incompleted Revolutionist' or 'Individual of Revolutionary Ideology'. However, it is imprecise to speak about the terminology of 'Revolutionary'. His ideology is simply elucidating the principal of original Confucianism or a new interpretation of the principle of Confucianism. Jeong, Yeo Rip wanted to contradict the system of national school based on the Zhu-xi's ideology and returned to the principle of original Confucianism. His idea of utopia based on the Confucianism arouse out of the intention of reviving the spirit of original Confucianism. His antagonistic propensity to Zhu-xi's ideology or political idea has transcended the principle of justification based on Sung Confucianism and was also logical and realistic. He was forced on to the deadly circumstance since the society of Joseon Dynasty couldn't accept such logical and progressive idea and deemed him to be nothing more than a disturbing element for the society.

• The Korean Journal of Emergency Medical Services
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• v.26 no.3
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• pp.161-184
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• 2022

Purpose: This study aimed to develop a cardiopulmonary resuscitation training program for firefighters (FD-CPR) to help improve the survival rate after cardiac arrest on the fireground. Methods: The FD-CPR was developed following 3 steps of the FD-CPR instructional design based on the behaviorism theory. The content of the program was validated by a group of 7 experts using the contents validity index (CVI) and through a pilot-test. Results: A scenario consisting of 7 procedures, and a skill performance evaluation tool consisting of 16 questions were developed. The evaluation tool average score for the difficulty test was 41.16% (even) and that for the discrimination test was 0.32 (high). Subsequently, an 80 min training program was developed. As verified by the 7 experts through the CVI, it was as high as 1.0. Conclusion: The FD-CPR developed domestically for the first time in this study was effective in enhancing the CPR performance skills of the firefighters. If FD-CPR is added to the curriculum at the Fire Service Academy educational course for the new firefighters, the CPR performance skills could be maintained. Furthermore, the program can facilitate a better survival rate for colleagues having cardiac arrest on the field.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3A
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• pp.193-200
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• 2010

Structural design requires simultaneously to ensure safety by considering quantitatively uncertainties in the applied loadings, material properties and fabrication error and to maximize economical efficiency. As a solution, system reliability-based design optimization (SRBDO), which takes into consideration both uncertainties and economical efficiency, has been extensively researched and numerous attempts have been done to apply it to structural design. Contrary to conventional deterministic optimization, SRBDO involves the evaluation of component and system probabilistic constraints. However, because of the complicated algorithm for calculating component reliability indices and system reliability, excessive computational time is required when the large-scale finite element analysis is involved in evaluating the probabilistic constraints. Accordingly, an algorithm for SRBDO exhibiting improved stability and efficiency needs to be developed for the large-scale problems. In this study, a more stable and efficient SRBDO based on the performance measure approach (PMA) is developed. PMA shows good performance when it is applied to reliability-based design optimization (RBDO) which has only component probabilistic constraints. However, PMA could not be applied to SRBDO because PMA only calculates the probabilistic performance measure for limit state functions and does not evaluate the reliability indices. In order to overcome these difficulties, the decoupled algorithm is proposed where RBDO based on PMA is sequentially performed with updated target component reliability indices until the calculated system reliability index approaches the target system reliability index. Through a mathematical problem and ten-bar truss problem, the proposed method shows better convergence and efficiency than other approaches.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.1
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• pp.1-22
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• 2024

목 적: 본 연구의 목적은 유방암 세포(MCF-7) 이식 누드 마우스 모델을 이용하여 육종용 열수 추출물의 면역활성 효과를 통한 항암 활성을 체계적으로 평가하는 것이다. 육종용 열수 추출물은 유방암 치료제로 자주 사용되는 대표적인 경구용 항암제인 tamoxifen 경구 투여군과 비교하여 분석 연구하였다. 방 법: 총 110마리의 6주령 암컷 누드 마우스를 준비하여, 7일간 적응 후 체중이 일정한 마우스를 선정하여 우측 둔부 피하부위에 MCF-7 세포를 이식하였다. 종양세포 이식을 한 지 20일 후, 종양 크기 및 체중을 기준으로 그룹 당 8마리씩 본 실험에 사용하였다. MCF-7 이종 이식 21일 후부터 매일 1회씩 35일간 육종용 열수 추출물을 10 ml/kg의 용량(400, 200 및 100 mg/kg)으로 경구 투여하였으며, tamoxifen 역시 10 ml/kg의 용량(20 mg/kg)으로 경구 투여하였고, 정상 및 종양 이식 매체 대조군에서는 멸균증류수만 종양 이식 21일 후부터 동일한 방법으로 35일간 경구 투여 하였다. 결 과: 본 실험의 결과, MCF-7 세포 이식을 함으로써 현저한 비장 및 하악하 림프절 무게, 혈중 IFN-γ의 함량, IL-1β 및 IL-10의 함량, 비장내 TNF-α, 비장세포 및 복강 대식구의 활성의 감소가 관찰되었고, 비장 및 하악하 림프절의 림프구 감소에 의한 조직병리학적 위축 또한 관찰되었다. 그리고 체중 및 증체량의 감소 역시 관찰되었으며, 혈중 IL-6 함량의 증가, 난소 주위의 지방 무게의 감소 및 조직병리학적으로 난소 주위의 축적 지방 조직 위축 현상이 인정되어, 종양 이식 후에 전형적인 종양과 관련된 면역억제와 악액질 현상이 유발된 것으로 판단되었다. 한편 육종용 열수 추출물 400, 200 및 100 mg/kg 경구 투여군에서는 종양 이식 대조군에 비해 유의성 있는 현저한 항암활성이 투여 용량 의존적으로 관찰되었다. 또한 tamoxifen 20 mg/kg 경구 투여군에서는 종양 관련 악액질 소견이 오히려 악화되는 반면, 육종용 열수 추출물 경구 투여군에서는 면역활성 및 악액질 억제 효과가 관찰되었다. 결 론: 본 연구 결과, 육종용 열수 추출물의 적절한 경구 투여는 심각한 부작용 없이, 종양 관련 악액질 소견을 포함하여, 효과적인 유방암 치료 수단을 제공할 수 있을 것으로 기대된다.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.57-79
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• 2024

Purpose: The present study identified the determinants in the development of intrapreneurial intention in small and medium-sized local hospitals. A careful literature review led to the development of a conceptual model which identified two types of employee competence-individual competence and managerial competence-to influence intrapreneurial orientation positively. It was hypothesized that intrapreneurial orientation predicts intrapreneurial intention and is mediated by intrapreneurial commitment. Methodology/Approach: The target population was chosen from two medical institutions of 'D' Hospital and 'E' Geriatric Hospital in Changwon City, South Korea. Samples were collected from 299 respondents who completed a structured questionnaire. Findings: The results from a structural equation modeling statistical analysis indicated that (1) individual competence and managerial competence positively and significantly predict intrapreneurial orientation, (2) intrapreneurial orientation positively and significantly influences intrapreneurial intention, (3) intrapreneurial commitment partially mediates the relation of intrapreneurial orientation to intrapreneurial intention, and (4) the mediation effect of intrapreneurial commitment was significant in the medical-personnel group, but not in the non-medical group. Practical Implications: Overall findings from the present work provide vital insights into understanding the preconditions for developing employee intrapreneurship in small and medium-sized local hospitals.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.