This study explores the development of English textbooks in North Korea through corpus-based analysis aimed at illuminating the differences between materials produced during the Kim Jong-il and Kim Jong-un regimes. In the context of educational reforms and changing political ideology, this study investigates BNC/COCA-based lexical coverage and the key lexical features of North Korean middle school English textbooks, highlighting the complexity, vocabulary, and readability of the learning materials. The findings revealed that the Kim Jong-un regime had implemented reforms to improve English language education, with increased lexical diversity, textual complexity, and vocabulary exposure. Although no significant differences were found between the two regimes regarding the lexical coverage of textbooks, the Kim Jong-un regime’s textbooks exhibited improvements in diversity, readability, and complexity. This study contributes to a broader understanding of the interplay between political ideology and English language education in North Korea, offering insights that have implications beyond the North Korean context and encouraging reflection on the nation-driven educational reform.

목적 : 광학 시뮬레이션 프로그램을 통해 Gullstrand 모형안을 입체적으로 설계하여, 정시와 굴절이상을 구현하 였다. 이를 이용하여 망막 상의 해상도 변화를 확인하고 정량적인 분석법을 제시하고자 하였다. 방법 : 3D 광학 시뮬레이션 프로그램인 Ansys SPEOS Ver. 2012(ANSYS Inc., USA)를 이용하여 모형안을 설계하였으며, 각막 전면 곡률반지름을 변화시켜 근시 및 원시의 굴절이상을 구현하였다. 각막 전면에서 우측 24.00, 24.38 및 25.00 mm 떨어진 위치에 탐지기를 설치하여 위치에 따른 상의 변화를 분석하였다. 굴절이상의 정도와 검출기 위치에 따른 상의 겉보기 해상도, 세기 분포, 가시성, 선명도를 확인하였으며 도출하였으며, 최종적 으로 정량적 해상도를 계산하였다. 결과 : 망막 상의 겉보기 해상도는 근시는 망막 앞에, 그리고 원시는 망막 뒤에 결상된 상에서 가장 우수한 결과 를 보였다. 세기 분포는 24.76 mm에서 +1.00과 +2.00 D가 모두 유사하게 높은 것으로 나타나 겉보기 해상도와 일부 차이를 보였다. 가시성은 24.00 mm에서 –2.00과 –1.00 D, 24.38 mm에서 –1.00과 +0.00 D, 24.76 mm에 서 +1.00과 +2.00 D가 높게 측정되었다. 선명도는 24.00 mm에서 –2.00 D, 24.38 mm에서는 -1.00 D, 그리고 24.76 mm에서는 +1.00 D에서 가장 높게 측정되었다. 이로써 가시성과 선명도 값은 위치와 굴절이상도에 따른 서로 다른 결과로 분석되었다. 정량적인 해상도는 24.00 mm에서 –2.00 D, 24.38 mm에서 –1.00과 +0.00 D, 24.76 mm에서 +1.00 D가 가장 우수하게 분석되었으며, 겉보기 해상도와 잘 일치하는 것이 확인되었다. 결론 : 본 연구에서 제안된 망막 상의 정량적 해상도 분석 결과를 통해 상대적으로 비교가 까다로운 망막 상에 대하여 정량적으로 명확한 분석이 가능할 것으로 판단된다.

Nursing research in veterinary hospitals is critical to the work of veterinary nursing and is necessary for continued advancements that promote optimal nursing care. Since the work of veterinary nursing involves animals with whom communication is difficult, the level of work performance can vary greatly depending on the experience, knowledge, and abilities of each animal nurse. In addition, veterinary nursing might establish a successful work environment through collaboration with veterinarians, and smooth work cooperation and communication among hospital members are direct factors in improving the work performance of animal hospitals. Because the work of nursing shows significant differences in performance depending on the individual, much research is being conducted to develop tools to measure work performance in the veterinary nursing field of medical assistants. In the present study, we attempted to develop a work performance measurement tool that is useful and suitable for veterinary nursing using the Delphi method. As a result of this study, an 18-item questionnaire was developed to measure the work performance of veterinary nursing, and these evaluation items were found to have excellent suitability in terms of content and construct validity. The evaluation scale of work performance of animal nurses developed through this study is believed to be useful in evaluating work performance in terms of work performance ability, attitude, and work performance relationship. Additionally, it is considered that the results of this study can be actively used to understand and develop the work relationships of veterinary nursing.

최근 다양한 기술의 발달로 인하여 시간과 공간의 제약 없이 관람객에게 사실감과 현장감을 표 현하며 관람객에게 실제적인 감각을 선사하는 실감미디어에 대한 관심과 시장이 늘어나고 있다. 모든 미디어는 기술 발전에 따라 더 실제적인 감각을 선사할 수 있는 콘텐츠를 제공한다. 기존 사각형의 영상 프레임에 머물던 디스플레이의 형태를 감상하는 환경과 다르다. 이러한 360도 영상은 콘텐츠 제작, 영상 렌더링 플랫폼 및 영상 이미징 장비 등 다양한 분야에서 적용되고 있 다. 전방위적인 360도를 제공하는 돔 형태를 통한 실감미디어 콘텐츠의 사례가 국내와 국외적 으로 늘어나고 있다. 하지만 이러한 상황에 비하여 360도의 돔 형태를 활용한 실감미디어의 콘 텐츠 사례 연구가 부족한 상황이다. 따라서 이 논문에서는 360도의 영상 개요를 살펴보며 돔 형태 영상의 디스플레이가 가진 특성을 알아보았다. 본 논문을 통해 360도 돔 형태를 활용한 실감미디어의 콘텐츠 사례들을 살펴보며, 이를 통하여 360도 영상을 기반으로 돔 형태를 활용 한 실감미디어 콘텐츠를 기획하려는 다양한 영상 창작자들에게 보탬이 되고자 한다.

This paper presents a path planning optimization model for the engineering units to install obstacles in the shortest time during wartime. In a rapidly changing battlefield environment, engineering units operate various engineering obstacles to fix, bypass, and delay enemy maneuvers, and the success of the operation lies in efficiently planning the obstacle installation path in the shortest time. Existing studies have not reflected the existence of obstacle material storage that should be visited precedence before installing obstacles, and there is a problem that does not fit the reality of the operation in which the installation is continuously carried out on a regional basis. By presenting a Mixed Integrer Programming optimization model reflecting various constraints suitable for the battlefield environment, this study attempted to promote the efficient mission performance of the engineering unit during wartime.

The use of big data needs to be emphasized in policy formulation by public officials in order to improve the transparency of government policies and increase efficiency and reliability of government policies. ‘Hye-Ahn’, a government-wide big data platform was built with this goal, and the subscribers of ‘Hye-Ahn’ has grown significantly from 2,000 at the end of 2016 to 100,000 at August 2018. Additionally, the central and local governments are expanding their big data related budgets. In this study, we derived the costs and benefits of ‘Hye-Ahn’ and used them to conduct an economic feasibility analysis. As a result, even if only some quantitative benefits are considered without qualitative benefits, the net present value, the benefit/ cost, and internal rate of return turned out to be 22,662 million won, 2.3213, and 41.8%, respectively. Since this is larger than the respective comparison criteria of 0 won, 1.0, and 5.0%, it can be seen that ‘Hye-Ahn’ has had economic feasibility. As noticed earlier, the number of analysis using ‘Hye-Ahn’ is increasing, so it is expected that the benefits will increase as time passes. Finally, the socioeconomic value gained when the results of analysis using ‘Hye-Ahn’ are used in policy is expected to be significant.

본 논문의 목적은 생성형 AI 기술의 급속한 발달로 인해 변화하는 게임산업의 생태계를 살펴 보고 이에 따른 대응방안을 모색하는 데 있다. 2022년 11월 OpenAI가 ChatGPT를 대중에게 공개한 이후, 생성형 AI를 가장 직접적으로 활용 및 투자하고 있는 분야는 게임콘텐츠 산업이 다. 생성형 AI의 활용은 단순반복적인 작업의 효율화를 통해 게임 개발의 간소화와 예산 절감 을 가능케 한다. 여기에 플레이어의 반응에 실시간 반응하며 소통하는 콘텐츠 자동 생성을 통 해 사용자 경험을 극대화한다. 실제 게임 개발 현장에서도 게임 레벨, 맵, 퀘스트, 지능형 NPC, QA 자동화 등 게임 제작과 운영의 전 분야에서 생성형 AI 도구가 활용되고 있다. 신기 술에 민감하며 노동집약적인 게임의 산업적 특성 때문에 생성형 AI가 게임산업의 미래를 바꿀 것이라는 전망과 함께, 저작권 이슈와 대량 해고 등 우려 또한 제기되고 있다. 이에 대응하기 위해 게임업계는 생성형 AI가 가져올 불가피한 변화를 적극적으로 받아들이고, 이분법적 ‘대체 론’을 넘어 인간의 창의력과 AI 기술의 장점을 결합할 수 있는 새로운 협업 지성과 창작물에 대한 법적, 윤리적 가이드라인을 모색해야 한다.

As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

Extracellular traps (ETs), primarily composed of DNA and antibacterial peptides, are mainly secreted by neutrophils to inhibit pathogen spread and eliminate microorganisms. Recent reports suggest that microglia can also secrete ETs, and these microglial ETs are associated with various neurological conditions, including nerve injury, tumor microenvironment, and ischemic stroke. However, the components and functions of microglial ETs remain underexplored. Secretagogin (Scgn), a calcium-sensor protein, plays a crucial role in the release of peptide hormones, such as insulin, in endocrine cells; however, its function in immune cells, including microglia, is not well understood. Our study demonstrated that Scgn deficiency can lead to the formation of abnormal ETs. We hypothesized that this may involve the c-Jun N-terminal kinase-myeloperoxidase pathway and autophagy.

This study was conducted to collect the patents of microbiome-based treatment technology for pets. An electronic search for microbiome or probiotics in brain nervous system disease was studied using the WINTELIPS database. Patent Cooperation Treaty of Korea, Japan, the EU, the US, and China that were registered by October 31, 2022 were selected in this study. A total of 206 patents were included for final analysis. Since 2016, patent activity has shown an explosive increase in recent years. China is the leading market in this technology field, and Korea has the second-highest market share. To provide the groundwork for the next research and development, we examined the industrial trend of microbiome for brain nervous system diseases in this study using an analysis of patents that have been applied for and registered up to this point. Looking at the overall patent trends by year in the technology field related to treating of brain and nervous system diseases using the microbiome, there was a tendency to repeat increasing and decreasing trends. However, considering 2021 and 2022, which have undisclosed sections, it can be seen that patent activity has tended to increase explosively in recent years, starting in 2016. If related studies use the patent analysis data constructed in this way strategically, it is expected that it will lead to patent registration and the development of new products, ultimately contributing to the revitalization of the companion animal industry.

This study introduces a novel approach for identifying potential failure risks in missile manufacturing by leveraging Quality Inspection Management (QIM) data to address the challenges presented by a dataset comprising 666 variables and data imbalances. The utilization of the SMOTE for data augmentation and Lasso Regression for dimensionality reduction, followed by the application of a Random Forest model, results in a 99.40% accuracy rate in classifying missiles with a high likelihood of failure. Such measures enable the preemptive identification of missiles at a heightened risk of failure, thereby mitigating the risk of field failures and enhancing missile life. The integration of Lasso Regression and Random Forest is employed to pinpoint critical variables and test items that significantly impact failure, with a particular emphasis on variables related to performance and connection resistance. Moreover, the research highlights the potential for broadening the scope of data-driven decision-making within quality control systems, including the refinement of maintenance strategies and the adjustment of control limits for essential test items.

고주파 흡수제(Accusorb MRI)를 이용한 자기공명영상 검사 중 화재가 발생했다. 다행히 환자는 화상을 입지는 않았 지만 스트랩과 4채널 코일의 케이블, Accusorb MRI가 녹아서 탄 흔적이 발견되었다. 자기공명영상 검사에 사용되 는 도구의 안전 지침을 준수해야 하지만 이를 지키지 않으면 화상, 열상, 장비 손상의 위험이 있다. 사고를 방지하기 위해서는 철저한 사전 점검을 해야 하고 모든 기기, 물품들이 자기공명영상 검사 시 사용 가능한 제품인지 확인하고 사용법을 정확하게 숙지하여야 한다.

Forecasting port container throughput is crucial due to its impact on economic development. Socio-economic factors, which introduce uncertainty, are increasingly integrated into throughput forecasting. The complexity of common multivariate forecasting models significantly affects accuracy, yet few studies compare their performance on the same time series for throughput modeling. This study implements, evaluates, and compares the performance of eight multivariate forecasting models for port throughput within a proposed multiple-input single-output (MISO) system, chosen for their frequent use in container throughput research. It investigates two data preprocessing approaches: Random Forest Variable Importance Method (RF-VIM) and a Multi Lagged Value approach. The comparison uses six error metrics: normalized root mean squared error, mean absolute error, mean absolute percentage error, mean error, and root mean percentage error. Performances are discussed, and recommendations for adopting a suitable model are provided.

흉골 자기공명영상 검사 시 호흡 등 환자 움직임에 의한 인공물 발생을 최소화하는 것은 어렵다. 하지만 자기공명영 상 검사는 타 영상 검사와 비교해 흉골 병변을 발견하는 데 있어 진단적 가치가 높은 장점이 있다. 따라서 본 연구에 서는 환자의 검사 자세 및 딥러닝 기법을 통해 최적의 검사 방법을 도출하고자 한다. 자세 별 영상 변화를 확인하기 위해 바로 누운 자세, 엎드린 자세, 유방 코일을 사용한 엎드린 자세로 진행하였으며, 고식적 기법의 영상과 Deep Resolve Boost(DRB) 기법을 적용한 영상을 비교 관찰하였다. 모든 대상에게 같은 조건으로 각 영상을 2회씩 획득 한 후 전반적인 영상 품질을 기준으로 정성적으로 평가하였고, DRB의 적용 여부에 따른 신호 대 잡음비의 변화 정도를 정량적으로 평가하여 개선 정도를 산출하였다. 정성적 평가에서 DRB 적용 여부와 무관하게 엎드린 자세, 유방 코일을 사용한 엎드린 자세, 바로 누운 자세 순으로 높은 점수를 얻었으며, DRB를 적용한 영상이 고식적 기법 의 영상보다 높은 점수를 얻었다. 또한 정량적 평가를 통해 유방 코일을 사용한 엎드린 자세, 엎드린 자세, 바로 누운 자세 순으로 높은 개선 정도를 확인하였다. 본 연구를 통해 흉골 검사 시 DRB 기법을 적용하는 것은 영상의 질을 높이는 방법임을 확인하였다. DRB를 적용하지 못하는 환경에서는 될 수 있으면 엎드린 자세를 적용하는 것을 권고하며, DRB를 적용할 수 있는 환경에서는 환자 측 인자를 고려하여 엎드린 자세와 유방 코일을 사용한 엎드린 자세를 모두 적용할 수 있다.

Purpose: Nursing students' competence in virtual simulation-based learning is a key factor in its success. This study explored the validity and reliability of a virtual-simulation-based learning competency self-evaluation tool for nursing students. Methods: Data were collected from a web-based survey. First, 11 nursing professors participated in a focus group interview, and 7 simulation education experts participated in the preliminary item content validity. The participants in these two aspects were not the same. Then, a preliminary survey was conducted with 15 fourth-year nursing students in I City. Next, based on these three efforts, a final survey comprising 20 evaluation items was developed. This survey was administered to third- and fourth-year nursing students at four nursing colleges in Korean provinces (Seoul, Gyeonggi, Gangwon, and Gyeongsan-do); 222 complete questionnaires were used for the final analysis. Further, Kirkpatrick’s evaluation model was used for four steps each of tool development and verification processes of the associated psychometric aspects, for a total of eight steps. An exploratory factor analysis was performed on the collected survey data, and verify the tool's validity and reliability. Results: Four factors comprising 15 items explained 66.59% of the variance: learning preparation and start-up (4 items), nursing assessment (3 items), data interpretation (3 items), and problem solving (5 items). The Cronbach's α of the tool was 0.74, and that of the factors ranged from 0.72 to 0.80. Conclusions: The tool's validity and reliability were demonstrated using established methodologies. This tool can be useful for evaluating Korean nursing students' virtual simulation learning competence.

기술의 발전은 예술에도 큰 영향을 준다. 기술이 발전함에 따라 예술계의 양상은 변화하였다. 그러나 단순 기술집약적, 기술 제안 예술이 늘어남에 따라 예술적 가치를 중요시하는 작품을 위한 연구가 필요하다. 따라서 본 연구에서는 현존감을 주는 매체 VR을 활용한 인터랙티브 아 트를 연구하며 몰입감을 주는 미디어아트 제작을 도모함으로써 예술적 가치의 확장을 보여준 다. 몰입감을 위한 비교를 위해 실사 영상 작품과 VR 게임 작품을 관조형 작품과 참여형 작품 으로 제작하고 전시하여 관객들에게 차이점과 연관성을 제시하고 설문조사를 통해 분석한다.

Gas identification techniques using pattern recognition methods were developed from four micro-electronic gas sensors for noxious gas mixture analysis. The target gases for the air quality monitoring inside vehicles were two exhaust gases, carbon monoxide (CO) and nitrogen oxides (NOx), and two odor gases, ammonia (NH3) and formaldehyde (HCHO). Four MEMS gas sensors with sensing materials of Pd-SnO2 for CO, In2O3 for NOX, Ru-WO3 for NH3, and hybridized SnO2-ZnO material for HCHO were fabricated. In six binary mixed gas systems with oxidizing and reducing gases, the gas sensing behaviors and the sensor responses of these methods were examined for the discrimination of gas species. The gas sensitivity data was extracted and their patterns were determined using principal component analysis (PCA) techniques. The PCA plot results showed good separation among the mixed gas systems, suggesting that the gas mixture tests for noxious gases and their mixtures could be well classified and discriminated changes.