본 연구에서는 한·중 양국의 웹드라마 제작배경, 창작의 주체, 시청자 그룹, 콘텐츠 구성, 드라마 제작, 수익모델, 프로모션, 시청자 피드백 및 심사 기준 등 아홉 가지 측면에서 비교고찰을 하였다. 아울러 중국 웹드라마 산업에서 시청자 포지셔닝, 고품질의 드라마 제작, 관람 연령 등급제도의 제정, 감독 메커니즘 개선 및 완전한 산업체인 솔루션의 구축이 필요하다고 제시하였다. 중국 웹드라마 산업은 독특한 산업특징, 표현방식과 산업적 가치를 가지고 있어, 인터넷의 장점을 충분히 활용하여 웹드라마 산업의 수준을 향상시키고 산업 메커니즘을 구축하고 새로운 제작, 소비 및 운영 모델을 계속 탐구해야만 웹드라마 산업의 장기적인 발전을 꾀할 수 있다.

최근 소나무재선충의 매개충을 방제하기 위한 방제법으로 널리 이용되고 있는 항공방제의 환경 영향에 대한 논의가 계속되고 있다. 본 연구에서는 2017년 경남 양산 금정산 일대를 무처리구와 처리구(3회 살포 및 5회 살포)로 구분한 뒤, 유인항공기로 살포된 티아클로프리드가 비표적 절지동물인 무당거미의 생물적 형질(체중, 체장, 머리가슴의 폭 및 뒷다리 전체 길이)에 미치는 영향을 조사하였다. 2017년 10월 11일에 각 조사구에서 성숙한 무당거미 암컷 성충을 채집하였다. 조사 결과, 무당거미의 생물적 형질은 살충제 살포 여부에 따라 통계적으로 유의하게 달라졌는데, 특히 체장, 머리가슴의 폭, 그리고 뒷다리의 전체 길이는 항공방제구에서 채집된 무당거미가 무처리구에서 잡힌 개체에 비해 짧은 것으로 나타났다. 그러나 살충제 살포 횟수에 따른 차이는 관찰되지 않았다. 결론적으로 무당거미의 형태적 특성은 살충제 살포에 의해 직접적 또는 간접적 으로 영향을 받았을 가능성이 있으며, 이는 장기적으로 개체군의 건강성에 영향을 줄 것이라 생각된다. 따라서 향후 장기적으로 살충제(직접 효과)와 먹이 가용성(간접 효과)에 대한 무당거미의 반응에 대한 모니터링이 수행되어야 할 것이다.

본 연구는 2019년 8월 한반도 주변해역(동해, 서해, 남해, 동중국해)에서 탄소 및 질소 안정동위원소 기법을 활용하여 하위영양 단계에서의 먹이망 구조를 파악하였다. 입자성 유기물(POM)의 δ13C 범위는 -26.18 ~ 20.61 ‰, δ15N 범위는 5.36 ~ 15.20 ‰의 넓은 범위를 보였다. POM과 각 생물별 개체군 사이의 δ13C 분별작용의 결과는 대부분 micro-POM을 섭식하는 것으로 확인하였으나 해역 간 차이를 보였 다. 각 생물별 영양단계는 chaetognaths (3.40±0.61)가 가장 높은 영양단계에 있음을 확인하였다. 동위원소 혼합모델을 적용한 결과에서 chaetognaths의 먹이원으로 copepods (13 ~ 48 %)와 euphausiids (20 ~ 51 %)가 가장 높은 기여도를 나타냈다. 본 연구결과 각 해역별 먹이원의 제한적 공급 및 다양성의 차이가 먹이망 구조 및 각 생물별 동위원소 비에 영향을 미친 것으로 판단된다.

The purpose of this study is to evaluate the application of a web-based cost management competency enhancement program (Web-CMCEP) on nursing students. Medical services are limited and essential for maintenance of human basic life. In order to improve the quality of human life, cost management competency that enable efficient allocation of medical resources are essential. This study adopts a randomized controlled pre/post repeated measure design. The sample comprised 39 nursing students in the web-group and 35 in the textbook-group. Experimental group and control group learned respectively with Web- CMCEP and textbook for 4 weeks. The research variables were measured at 4 times: pre, post, after 4 weeks of intervention, and after 8 weeks of intervention. Data were analyzed using χ2 -test, t-test, paired t-test, repeated measures ANOVA, Friedman test, and Wilcoxon signed rank test. Significant differences were found in cost management knowledge. The web-group showed higher cost management knowledge than the text-group. At different measuring points, the Web-CMCEP led to significant increases in the following: cost management knowledge, cost management attitude, cost management behavior, cost management self-efficacy, and entrepreneurship. Based on the findings, we suggested utilizing the Web-CMCEP as a prototype in developing education programs to improve nursing students’ cost management competency and to support nursing start-ups.

본 연구에서는 CFRP판으로 보강된 콘크리트 보의 피로파괴 특성을 알아보기 위하여 보강재의 정착 길이, 보강재의 정착넓이, 보강재의 정착량을 실험변수로 반복 하중에 따른 역학적 거동과 파괴형태를 분석하고 CFRP판 사용에 대한 안전성과 타당성을 평가하도록 하였다. 반복하중의 범위는 극한하중의 10~70%를 취하고 3점 재하방식으로 sine파를 이용한 3Hz의 속도로 재하 하였다. 실험결과 보강길이가 작을수록 보강재 단부에서 박리파괴가 일어날 확률이 증가하였고 반복하중의 횟수도 현저히 감소되어 안정성은 다소 감소됨을 알 수 있다. 보강두께는 감소할수록 피로수명은 증가하지만 CFRP와 콘크리트사이의 부착력 이 저하되어 경계면에서 박리파괴가 일어나 최종파괴를 이루었다. 보강넓이는 감소할수록 피로 횟수는 현저하게 증가되었고 보강재의 이용률도 현저하게 증가되어 안정성도 증가함을 알 수 있다.

The purpose of this study is to analyze the factors influencing consumers’ selection of web-toon service through AHP (Analytic Hierarchy Process) analysis and to provide the strategy of web-toon service. To accomplish this study, theories, existing research and references related to AHP were sufficiently examined and selected the factors in the selection criteria. Surveys from consumers who used the web-toon service were conducted with selected factors. Through this, the results were analyzed by AHP analysis to find out the weighting values and the differences were examined and analyzed. The highest weighting factor in the first layer that consists of web-toon service was cinematic quality. The cinematic quality was the most important factor in the selection criteria of customers who use the web-toon service regardless of their preferred genre. Furthermore, it was confirmed that the weighting value or ranking changed in the second layer by genre. In this study, the effective basis of strategy were suggested by ranking the quantitative selection factors according to the preferred genre of consumers using web-toon services. In addition, This research provides some practical implications. That is, the web-toon service provider can easily recognize and respond to the customer’s requirements, which factors are important when the customer selects a specific genre from the web-toon genre.

This paper is an exploratory study to investigate the influence of characteristics of local government web-sites on user satisfaction and trust. The objective of this research is to identify the characteristics of local government web-sites influencing on user satisfaction and trust, and determine how they affect user satisfaction and trust. From the literature review, we identify four characteristics which are expected to influence on user satisfaction: technical, information, customer-oriented, and work-performing characteristics. In addition, we develop research model that the four characteristics are expected to affect user satisfaction and trust via users’ perceived values. The results of the research are as follows. The technical, customer-oriented, and work-performing characteristics significantly affects perceived values, which significantly affected user satisfaction and trust. Perceived value is partially mediated by user satisfaction in affecting user trust. The characteristics of local government web-sites affecting perceived values differed partially by the purpose of visitor. As for the personal goal, the technical, customer-oriented, and work-performing characteristics significantly affect perceived values, with the technical and customer-oriented characteristics having more significant effects. As for the business goal, the technical, information, work-performing characteristics significantly affected perceived values, with information characteristics having more significant effects.

This study empirically analyzed the influence of fashion brands’ marketing issues on actual sales and consumer preference—focusing on evaluation trends of brands over time by using the theoretical background and big data provided through literature. This study examined the influence of three fashion brands (Balenciaga, Vetements, and Off-White) that have recently seen a drastic increase in the number of searched volumes through social networks. To identify the consumer-brand evaluations and trends and the marketing issues, the time period was divided into Groups A and B, which are from 2014 to 2015 and from 2016 to 2017, respectively. This study analyzed the frequency of overlapping keywords by using the R program to graphically visualize the changes over the timeline. Specifically, this analysis extracted data mainly related to bags, wallets and accessories for 2014-2015, but in 2016-2017, all four brands saw a vast increase in the frequency of searching product keywords related to clothing and footwear, and newly extracted ones were the top keywords. When analyzing the big data with these keywords as indicators, I confirmed that the products related to bags, wallets, and accessories were shifted to those related to apparel and footwear. Consumers previously recognized luxury brands such as Balenciaga as accessoriesoriented brands that were focused on handbags and sunglasses, but now they are gaining popularity and recognition among consumers as a fashion brand.

A paucity of research investigates the salient predictors of web-store quality. Through web-stores, loyalty can be enhanced by proffering a secure and easy to use shopping arena. The findings of this research provide a simplistic model to assist fashion strategists when targeting female consumers of cosmetic products thereby supplementing emerging online retailers to compete at par with multi-national enterprises.

Due to rapid increase of international trade, many invasive and exotic pests have been introduced in Korea. One of typical example is Solenopsis invicta found in harbor and nearby areas unexpectedly triggering alerts of invasive and exotic pests. Practically, critical limitation to identify these species based on morphology exists because of lack of experts, so that it is very important to develop fast and accurate methods to identify these species. Molecular marker is one of candidates for satisfying these requirements of invasive and exotic pests: usually COI gene has been used for identifying insect species efficiently. Here, we developed web-based integrated platform for identifying invasive and exotic pests. As a first step, we collected 71,146 COI sequences from 529 species which are potentially invasive and exotic pests in Korea. In addition, we are collecting their complete mitochondrial genome sequences for evaluating additional marker regions which can be more effective for identifying species. Web-based interfaces are under development to access these raw data as well as bioinformatic analysis function to identify species based on mitochondrial sequences. Our platform will be a fundamental resources not only to identify invasive and exotic pests effectively but also to understand ecology of these species to find anticipative policies to prevent invasion of these species.

Recently, quantitative analyses of food web structure based on carbon and nitrogen stable isotopes are widely applied to environmental assessments as well as ecological researches of various ecosystems, particularly rivers and streams. In the present study, we analyzed carbon and nitrogen stable isotope ratios of POM (both planktonic and attached forms), zooplankton, benthic macroinvertebrates and fish collected from 6 sites located at Nakdong River. Samples were collected from upstream areas of 5 weirs (Sangju, Gangjeong- Goryeong, Dalseong, Hapcheon-Changnyeong, and Changnyeong-Haman Weirs) and one downstream area of Hapcheon-Changnyeong Weir in dry season (June) and after rainy season (September). We suggested ranges of their carbon and nitrogen stable isotope ratios and calculated their trophic levels in the food web to compare their temporal and spatial variations. Trophic levels of organisms were relatively higher in Sangju Weir located at upper part of Nakdong River, and decreased thereafter. However, the trophic levels were recovered at the Changnyeong-Haman Weir, the lowest weir in the river. The trophic level calculated by nitrogen stable isotope ratios showed more reliable ranges when they were calculated based on zooplankton than POM used as baseline. The suggested quantitative ecological information of the majority of biological communities in Nakdong River would be helpful to understand the response of river food web to environmental disturbances and can be applied to various further researches regarding the quantitative approaches for the understanding food web structure and function of river ecosystems as well as restoration.

With the advent of the digital age, production and distribution of web pages has been exploding. Internet users frequently need to extract specific information they want from these vast web pages. However, it takes lots of time and effort for users to find a specific information in many web pages. While search engines that are commonly used provide users with web pages containing the information they are looking for on the Internet, additional time and efforts are required to find the specific information among extensive search results. Therefore, it is necessary to develop algorithms that can automatically extract specific information in web pages. Every year, thousands of international conference are held all over the world. Each international conference has a website and provides general information for the conference such as the date of the event, the venue, greeting, the abstract submission deadline for a paper, the date of the registration, etc. It is not easy for researchers to catch the abstract submission deadline quickly because it is displayed in various formats from conference to conference and frequently updated. This study focuses on the issue of extracting abstract submission deadlines from International conference websites. In this study, we use three machine learning models such as SVM, decision trees, and artificial neural network to develop algorithms to extract an abstract submission deadline in an international conference website. Performances of the suggested algorithms are evaluated using 2,200 conference websites.