Food webs have received global attention as next-generation biomonitoring tools; however, it remains challenging because revealing trophic links between species is costly and laborious. Although a link-extrapolation method utilizing published trophic link data can address this difficulty, it has limitations when applied to construct food webs in domestic streams due to the lack of information on endemic species in global literature. Therefore, this study aimed to develop a link extrapolation-based food web model adapted to Korean stream ecosystems. We considered taxonomic similarity of predation and dominance of generalists in aquatic ecosystems, designing taxonomically higher-level matching methods: family matching for all fish (Family), endemic fish (Family-E), endemic fish playing the role of consumers (Family-EC), and resources (Family-ER). By adding the commonly used genus matching method (Genus) to these four matching methods, a total of five matching methods were used to construct 103 domestic food webs. Predictive power of both individual links and food web indices were evaluated by comparing constructed food webs with corresponding empirical food webs. Results showed that, in both evaluations, proposed methods tended to perform better than Genus in a data-poor environment. In particular, Family-E and Family-EC were the most effective matching methods. Our model addressed domestic data scarcity problems when using a link-extrapolation method. It offers opportunities to understand stream ecosystem food webs and may provide novel insights into biomonitoring.

4차 산업혁명 시대에 건설산업은 전통적인 업무 방식에서 디지털 프로세스로 전환하고 있다. 특히, 건설산업의 특성으로 인해 업무 절차의 변경에는 어려움이 따르며, 점진적인 디지털 전환 및 시행착오가 발생하고 있다. 건설현장의 안전관리 분야도 역시 이 흐름을 따라 모든 데이터의 디지털화와 자동화를 목표로 연구 및 시도가 활발히 진행되고 있다. 그러나 최근의 통계에 따르면, 건설업 안전사 고는 계속해서 발생하고 있으며, 안전사고 사망자 수도 줄지 않고 있다. 본 연구는 이러한 문제를 해결하기 위해 건설공사 안전관리 종 합정보망의 빅데이터를 대규모 언어모델 인공지능을 통해 분석하였다. 분석된 결과는 실시간으로 업데이트가 가능한 상세설계모델 로부터 위치정보와 공간적 특성을 반영하여 안전관리가 필요한 현장모델링에 정보를 맵핑하였다. 해당 연구를 통해 건설현장 안전관 리 데이터의 디지털화를 통한 시설물 및 근로자의 안전을 강화하고, 건설사고 예방 및 효과적인 교육 지시를 위한 빅데이터 기반 안전 관리 플랫폼 개발을 목표로 한다.

이 글은 한국어 학습을 위한 웹 기반 한자 사전 모델을 제시하기 위한 것이다. 중국 문화권 학습자를 대상으로 한 이 연구에서는 웹 기반 한자 사전의 필요성을 확인하고 기존 사전의 한자 단어 학습의 문제점 을 분석하였다. 한자 단어 학습 시 한자 원어 형태소 인식이 중요하다고 보고 이를 반영한 별도의 팝오버 (popover) 창을 개발하였다. 한자 사전의 미시구조에는 항목, 단어 유형, 발음, 한-베트남어 단어(있는 경우), 한자의 어원, 한-베 소리(voice)가 포함되며, 이밖에 베트남어 어원에 대한 설명, 한자의 원래 형태소 와 관련된 한-베 단어, 번역, 설명, 예시 등이 포함되어야 함을 밝혔다. 그런 다음, 한자어 형태소와 한자- 베트남어의 발음을 포함하는 어원 틀, 베트남어 및 한자어의 한자 형태소 의미를 포함한 웹 사전을 구성하 고 그 활용 방안을 보여주었다. 본 연구는 한자어 형태소와 관련된 베트남 단어에 대한 정보를 추가하고, 프로그래밍 기술, 데이터베이스 업데이트 과정, 300개 규모의 한자 사전 모델을 제시한 기초연구로써 이후 한국어 학습자를 위한 웹 한자 사전 구축에 보탬이 되고자 한다.

This study aimed to explore nursing students' experience of learning cardiopulmonary resuscitation (CPR) in a web-based virtual simulation (vSim) through analysis of the reflection journals. Method: From June to July 2020, data were collected from 48 fourth-year nursing students who performed the simulation by reviewing prompt feedback on their CPR performance. The contents of the reflection journals were analyzed using NVivo qualitative data analysis software. Results: Nursing students experienced unfamiliarity with the English-based virtual environment as well as psychological pressure and anxiety about emergencies. Incorrect interventions were identified in the following order of frequency: violation of defibrillator guidelines, missing fundamental nursing care, error in applying an electrocardiogram monitor, inadequate initial response to cardiac arrest, insufficient chest compression, and inadequate ventilation. Lastly, the participants learned the importance of embodied knowledge, for knowing and acting accurately and reacting immediately, and their attitudes as nurses, such as responsibility, calmness, and attentiveness. Learning strategies included memory retention through repetition, real-time feedback analysis, pre-learning, and imagining action sequences in advance. The level of achievement, time required, CPR quality, and confidence improved with behavior-modification strategies developed through self-reflection. Conclusion: Educational interventions that are based on understanding accurate algorithms can strengthen selfawareness of mistakes to improve efficient imparting of CPR education.

The purpose of this study was to develop a nursing education program using Web-based simulation for the care of patients with intracranial pressure. An additional aim was to verify the effectiveness of nursing knowledge, problem-solving competency, a critical thinking disposition, and the expectation of learning transfer. Methods: This was an experimental study using repeated measures with a nonequivalent control group. The participants were senior nursing students, randomly assigned to experimental (n=30) and control (n=30) groups. The experimental group participated in a nursing education program that included Web-based lectures, pre-briefing, Web-based simulation, and debriefing, whereas the control group’s program included only Web-based lectures. Results: A significant difference was found between the experimental and control groups in problem-solving competency (F=5.84, p=.005), critical thinking disposition (F=4.25, p=.021), and the expectation of learning transfer (t=2.30, p<.025). Also, a significant interaction between time and group was found in problem-solving competency and critical thinking disposition. Conclusion: The results of this study showed that the education program using Web-based simulation positively affected nursing students’ problem-solving competency, critical thinking disposition, and the expectation of learning transfer. Therefore, this program can be considered a valuable aid in educating nursing students.

Land monitoring involves systematically understanding changes in land use, leveraging spatial information such as satellite imagery and aerial photographs. Recently, the integration of deep learning technologies, notably object detection and semantic segmentation, into land monitoring has spurred active research. This study developed a web service to facilitate such integrations, allowing users to analyze aerial and drone images using CNN models. The web service architecture comprises AI, WEB/WAS, and DB servers and employs three primary deep learning models: DeepLab V3, YOLO, and Rotated Mask R-CNN. Specifically, YOLO offers rapid detection capabilities, Rotated Mask R-CNN excels in detecting rotated objects, while DeepLab V3 provides pixel-wise image classification. The performance of these models fluctuates depending on the quantity and quality of the training data. Anticipated to be integrated into the LX Corporation's operational network and the Land-XI system, this service is expected to enhance the accuracy and efficiency of land monitoring.

The purpose of this study is to review the discourse on vaccination from a critical perspective by considering coronavirus disease 2019 (COVID-19) news on web portals to be practical arguments advocating for certain actions. For this purpose, this study analyzed the argument patterns of the discourse on vaccination with the keyword COVID-19 vaccine side effects and examined discourse characteristics highlighted by media reports to evaluate their meaning. Contrasting patterns were observed between pro- and anti-vaccine arguments, which consisted of the necessity of vaccination and medical evidence and which focused on personal choice and vaccine side effects, respectively. The characteristics of the political discourse were observed in the contest between these arguments. Rhetorical phrases, which are often used in the political discourse, represented the misleading arguments that lacked evidential accuracy and argumentative validity by maximizing fear, instead of alleviating fear about a health crisis with scientific information and discussion. As fake news trending on social media was introduced to online news portals, which are regarded as public discourse platforms, and undermined trust in the public discourse, it served as an opportunity to politicize the discourse on vaccination.

본 연구의 목적은 청소년들의 스마트폰 과의존과 피로회복 간의 관계에서 불안의 매개효과를 검증하여, 청소년의 스마트폰 과의존 중재의 근거자료를 확보하는 것이다. 연구 대상자는 ‘제16차 청소년 건강행태 온라인조사’를 이용한 청소년 54,948명이다. 연구변수 간의 관계는 상관분석, 요인분석, 매개효과 분석을 실시하였다. 연구 결과 청소년의 스마트폰 과의존은 피로회복에 영향을 미치는 직접효과와, 불안을 경유하여 피로회복에 영향을 주는 간접효과가 나타났다. 청소년의 스마트폰 과의존이 매개변인인 불안에 유의한 영향을 주었고, 피로회복에 유의한 영향을 주었다. 또한 또한 불안은 스마트폰 과의존과 피로회복 간의 관계에서 매개효과가 있는 것으로 확인되었다. 따라서 스마트폰 과의존 청소년을 대상으로 피로회복 을 향상하기 위해 불안을 관리할 필요가 있다.

사물인터넷(IoT) 기술을 활용한 전력 사용량 모니터링은 스마트팜 운영비 절감 기술 개발을 위한 기초자료로 필요성이 부각되고 있다. 본 연구에서는 멜론 생산 스마트팜 운영 중 실시간 전력사용량 모니터링 시스템을 설치한 예를 소개하고 이 를 이용하여 수집된 데이터를 실시간으로 활용하는 방법을 제 안한다. 전력사용량 모니터링 시스템의 실증을 위하여 멜론 스마트팜에서 3개월의 멜론 재배기간 동안 보일러, 양분분배 시스템, 자동제어기, 순환팬, 보일러제어기, 기타 IoT 관련 유 틸리티 등 스마트팜 시설에서 사용하는 개별 전원 기구들의 전력사용량 데이터를 수집하였다. 모니터링 결과를 이용하여 전기에너지 소비패턴의 예시를 분석하고, 측정 데이터를 최 적으로 활용하기 위해 필요한 고려사항을 제시하였다. 본 논 문은 전력사용량 모니터링 시스템을 새로이 구축하고자 하는 유저들에게 기술적 진입장벽을 낮추고 생성된 데이터 활용 시 시행착오를 줄이는 데 유용한 자료가 될 것으로 사료된다.

Numerous spent nuclear fuels are generated every year in Korea. To solve the spent nuclear fuel problem within saturated temporary storage, the authorities are readying to build an interim storage and a permanent disposal facility in the country. At the same time, the authorities are readying to establish a management procedure for spent nuclear fuel. In the future, the authorities need to make and apply the Database of spent nuclear fuel to practice the management procedure. However, the structure of a traditional database is not reasonable for information management because it has a problem with listing data and identifying data features due to its structure. In addition, the traditional database always exists human error from working in Excel program by a human. Therefore, this research proposes a new standard information management model based on Semantic Web technique. Semantic Web uses a data structure named ontology. By using the ontology in the information database of the spent nuclear fuel, users, such as institutions related to management, could more easily recognize and understand the Database. Furthermore, since this task proceeds in the ontology construction program, the human error in the new model reduces rather than an environment of the traditional database.

The purpose of study was to examine the factors influencing fast food consumption in Korean adolescents. The analysis was conducted using cross sectional study data from the 16th Korea Youth Risk Behavior Web-based Survey in 2020. A total 54,948 middle and high school students participated in this study. The subjects in the analysis were 28,353 males and 26,595 females, 28,961 middle school and 25,987 high school students. In total, 56.6% Korean adolescents consumed fast food once or twice weekly and 25.4% consumed fast food more than three times weekly. Logistic regression analysis revealed that fast food consumption was significantly associated with dietary behavior such as lower breakfast intake (OR: 0.930, 95%CI: 0.891~0.970, p<0.001), higher soda drinks consumption (OR: 2.563, 95%CI: 2.452~2.678, p<0.001), and higher sweet drinks consumption (OR: 1.898, 95%CI: 1.818~1.982, p<0.001). For psychological and health behavior factors, fast food consumption was also significantly associated with higher perceived stress (OR: 1.239, 95%CI: 1.163-1.321, p<0.001), higher smoking (OR: 1.300, 95%CI: 1.164~1.453, p<0.001), higher drinking (OR: 1.193, 95%CI: 1.112~1.280, p<0.001), higher depression experience, higher loneliness experience, and lower subjective health, In conclusion, fast food consumption in Korean adolescents was associated with undesirable dietary habits and psychological and health behavior, suggesting that appropriate education programs are necessary to reduce such behavior.

Purpose: This study aimed to develop a web-based video program related to abnormal mental disorder behaviors in standardized patients and verify its effectiveness for nursing students. Methods: This study consisted of pre-test and post-test for a non-equivalent control group design. The participants were 46 nursing students(experimental group: 23, control group: 23). The experimental group was trained in a video program that applied standardized patients, while the control group received traditional training. Data collected from March to June, 2020, were analyzed using IBM SPSS Statistics for Windows, version 25.0, chi-square test, Fisher's exact test, Mann-Whitney U test, and independent t-test. Results: The difference between the experimental and control groups was statistically significant in terms of learning satisfaction (Z=2.08, p=.038), learning self-efficacy(t=2.80, p=.009), motivation for transfer(t=3.45, p=.001), and clinical reasoning competence(t=2.28, p=.028). Conclusion: This study showed that a video program on abnormal mental disorder behaviors in standardized patients is an effective tool for mental health nursing education.

Korea has numerous astronomical resources, such as observational records, star maps, and a wealth of literature, covering the period from the Three Kingdoms (54 BC - 932 AD) to the Joseon Dynasty (1392 - 1910 AD). The research activities related to these resources have been limited to those by individual researchers. It is now necessary to conduct research by efficiently and systematically collecting and managing Korean astronomical records using an accessible Web environment. The purpose of this study is to complete a system that enables researchers systematically to collect and verify a large number of historical records related to astronomical phenomena in a Web environment. In 2017, a preliminary survey was conducted, and the requirements pertaining to an implementation target system were devised. In addition, a joint development plan was carried out by the developer, lasting three months in 2018. Although the system is relatively simple, it is the first system to be attempted in the historical astronomy field. In order to proceed with the systematic development, the software development methodology is applied to the entire process from deriving the requirements of researchers to completing the system. The completed system is verified through integrated function and performance tests. The functional test is repeated while modifying and testing the system based on various test scenarios. The performance test uses a performance measurement test tool that takes measurements by setting up a virtual operation environment. The developed system is now in normal operation after a one-year trial period. Researchers who become authorized to use the system can use it to verify the accuracy of data and to suggest improvements. The collected feedback will be reflected in future systems, and Korean astronomical records will be available for use internationally through a multilingual service.

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.

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.

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.