기후변화와 식품공급망의 복잡성 증대로 식품 위해요소 의 발생 경로와 패턴이 다변화됨에 따라, 과학적 예측과 선 제적 개입이 가능한 예방형 식품안전 관리체계의 필요성이 대두되고 있다. 본 연구는 기후·환경 요인이 식품 위해요소 에 미치는 영향을 분석함으로써, 기후 민감성이 높은 위해 요소를 식별하고 예측 가능성과 주요 환경인자를 도출하였 다. 아울러 국내외 데이터 기반 위해예측 시스템의 운영 사 례를 비교·분석함으로써, 식품위해예측센터의 실질적 운영 과 역할을 위한 발전방향을 제시하였다. 본 연구를 통해 향 후 식품위해예측센터가 식품안전 정책의 과학화와 지능화 를 이끄는 전략적 플랫폼으로 기능하고, 예방 중심의 관리 체계로의 전환을 유도할 수 있도록 실효적 토대와 정책적 방향성을 제공하고자 한다.

In this paper, the uniaxial tensile mechanical characteristics after synchronous biaxial pre-tension analysis are investigated on a ETFE film crown model. After the biaxial pre-stretching is completed, the rectangular specimens are cut along the MD and TD directions of the biaxially pre-stretched ETFE film to conduct the uniaxial stretching test. The uniaxial tensile mechanical properties of the ETFE film after biaxial pre-stretching are investigated, the specific uniaxial tensile mechanical property parameters of the biaxially pre-stretched film are determined, and the influence of biaxial pre-stretching on the uniaxial tensile mechanical properties of the ETFE film is analyzed.

Dynasty and Japanese colonial period using historical texts and dictionaries. For Mat-bae roofs, component-related terms include Bak-gong, Bak-poong, Poong-pan, and Poong-cha, while Bae-jip refers to the roof as a whole. Bak-gong was more commonly used than its synonym Bak-poong, and its Chinese character representation varied. Poong-pan, derived from Pung-cha, replaced it in the 19th century, while Bae-jip’s use in Joseon-era texts is unclear. For Pal-jak roofs, component terms include Chu-nyeo and Hap-gak, while Paljak refers to the entire roof. Chu-nyeo has both linear and planar meanings and appeared with diverse Chinese character forms and Korean spellings, evolving over time. Hap-gak, synonymous with Heo-ga, became recognized as a native term until the 1940s. Pal-jak, often written as 八雀 in Joseon texts, likely originated from the Korean mimetic word Pal-jjak, reflecting its meaning and sound.

In this paper, the changes of the uniaxial tensile mechanical properties of the ETFE film after the uniaxial pre-stretching stress exceeds the first yield stress and the second yield stress was investigated. The ETFE film is first pre-stretched uniaxially along the MD direction or TD direction. After the pre-stretching loading stress exceeds the first yield stress and the second yield stress to cause the ETFE film to undergo plastic deformation, rectangular uniaxial tensile specimens are cut from the pre-stretched film along the MD direction and the TD direction for subsequent uniaxial tensile tests, thereby determining the uniaxial tensile mechanical property parameters of the ETFE film after uniaxial pre-stretching, including yield stress, tensile strength and elongation at break, and discussing the changes in its uniaxial tensile mechanical properties.

본 연구는 19세기 후반과 20세기 초반에 한국에서 활동한 외국인 선교사들이 편찬한 5종의 영한 사전에 나타난 질병명을 분석한다. 이 근대이중어사전들의 질병명은 서구 과학 지식이 동아시아로 급속히 유입되면서 한국에서 새로운 의학 용어의 필요성 을 반영한다. 질병명의 정확한 번역은 공중 보건에 중요했으며, 당시의 의학 지식과 인식 을 반영하기 때문이었다. 본 연구는 5개 근대영한사전을 개요하고 46개의 질병어를 선택 한 기준을 기술했다. 또한, 전염병 관련 질병명이 다수를 차지하는 이유를 당시의 정부의 전염병 예방 규칙 과 관련하여 살펴보았다. 또한 1925년 사전에 새로 추가된 용어, 과거 와 현재 질병명의 공존을 조사한다. 아울러, 고유어 번역, 1925년 사전과 현대 사전 간의 번역 연속성, 현대에서 음역된 질병명 등의 분석을 통해 문화적, 사회적 맥락을 탐구한 다. 이 연구는 한중일 질병명의 역사적 변천과 상호 교류를 근대이중어사전을 통해 제시 하였다.

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 address the increasing demand for technologies preventing mushroom fly damage. By monitoring the annual occurrence patterns of pests over several years and accumulating data, we conducted an analysis to evaluate the efficacy of preventive measures applied before the surge in mushroom fly infestation, typically observed in May. For preemptive control, physical measures involved installing air curtains at cultivation facility entrances and placing sticky traps and insect traps around entry points to block external entry and reduce internal insect density. Additionally, we applied an organic agricultural material, Dalmatian chrysanthemum extract, weekly alongside chemical control measures. To assess the reduction in mushroom fly populations, yellow sticky traps (15×25 cm) were placed at three locations within the mushroom cultivation facility, and the occurrence patterns before and after implementing preventive measures were compared. Compared to conventional practices, the application of preventive techniques resulted in a significant reduction, with a 60% decrease from 15 levels of mushroom flies/m² to 6 levels of mushroom flies/m² in May and a 40% decrease from 10 levels of mushroom flies/m² to 6 levels of mushroom flies/m² in June. While achieving over 50% efficacy during the peak mushroom fly season with preventive measures, we identified complementary actions such as blocking external sources (gaps in cultivation facility doors) and maintaining cleanliness around cultivation facilities (proper disposal of spent substrate) for further improvement. Comprehensive analysis and safety studies, including correlation analysis with contaminants and pathogens, are recommended to ensure the widespread adoption of mushroom fly preventive techniques for safe and stable mushroom production in the agricultural sector.

Sentiment analysis is a method used to comprehend feelings, opinions, and attitudes in text, and it is essential for evaluating consumer feedback and social media posts. However, creating sentiment dictionaries, which are necessary for this analysis, is complex and time-consuming because people express their emotions differently depending on the context and domain. In this study, we propose a new method for simplifying this procedure. We utilize syntax analysis of the Korean language to identify and extract sentiment words based on the Reason-Sentiment Pattern, which distinguishes between words expressing feelings and words explaining why those feelings are expressed, making it applicable in various contexts and domains. We also define sentiment words as those with clear polarity, even when used independently and exclude words whose polarity varies with context and domain. This approach enables the extraction of explicit sentiment expressions, enhancing the accuracy of sentiment analysis at the attribute level. Our methodology, validated using Korean cosmetics review datasets from Korean online shopping malls, demonstrates how a sentiment dictionary focused solely on clear polarity words can provide valuable insights for product planners. Understanding the polarity and reasons behind specific attributes enables improvement of product weaknesses and emphasis on strengths. This approach not only reduces dependency on extensive sentiment dictionaries but also offers high accuracy and applicability across various domains.

Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

Kimchi, a centuries-old Korean fermented food, has gained global popularity due to increased interest in Korean cuisine. However, little is known about the actual status of kimchi information provided by major foreign online encyclopedias. In this study, we analyzed the content and quality of kimchi information in major foreign online encyclopedias, such as Baidu Baike, Encyclopædia Britannica, Citizendium, and Wikipedia. Our results revealed that the kimchi information provided by these encyclopedias was often inaccurate or inadequate, despite kimchi being a fundamental part of Korean cuisine. The most common inaccuracies were related to the definition and origins of kimchi and its ingredients and preparation methods. Our findings highlight the need for more accurate and reliable information about kimchi in major foreign online encyclopedias. This is particularly important in the context of promoting Korean food culture and increasing international awareness of kimchi. To achieve this, the collaborative efforts of Korean food experts and online encyclopedias are needed to ensure the accurate representation of kimchi in these resources. In conclusion, our study shows that foreign online encyclopedias often contain incomplete, inaccurate information about kimchi. This shortcoming must be addressed to promote a more accurate and comprehensive understanding of kimchi and Korean cuisine.

Park, Eunha. (2023). “Perceptions of “Hwanhyangnyeo,” “Wianbu,” “Yang-gongju” Through Example Sentences in Korean Dictionaries and the Internet Articles“. The Sociolinguistic Journal of Korea, 31(2), 29-58. This study investigated and analyzed examples of three terms found in dictionary entries and internet articles to examine the perceptions of war and women in Korean society. A preliminary examination of dictionary entries found that one dictionary’s referred to “hwanhyangnyeo” as a stigmatized term, used to expression hatred toward women even after returning home post the war. In the example sentences of “wianbu,” in the dictionaries, the phrase “other expressions” was commonly used, which precisely conveyed or demanded facts. Entries regarding “wianbu, Japan, and the government’s expressions” generally portrayed a negative view of “wianbu” victims and related issues. Further, concerning the example sentences of “yang-gongju,” in dictionaries, the most frequently used entry depicted it as an “expression of other people’s perception of yang-gongju.” Except for other expressions conveying factual information, two negative expression types related to “yang-gongju” were identified. When examining the usage of these expressions in internet articles, entries related to “the government’s response” were found to be the most prevalent. For “hwanhyangnyeo,” articles most frequently focused on “the history of ‘hwanhyangnyeo’.” Regarding articles containing “wianbu,” primary topic of interest was “the expedition of the Girl Statue in German.” Finally, articles concerning “yang-gongju” commonly referred to “the poor life of ‘yang-gongju.’”

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald’s (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

최근 자기공명영상 획득을 위한 시뮬레이션 도구가 개발되어 오랜 시간이 소요되는 임상 연구를 대체할 수 있게 되었다. 이에 본 연구에서는 MRiLab 시뮬레이션을 사용하여 부가인자인 에코 시간의 변화에 따라 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하여 영상의 신호 및 노이즈의 변화를 정량적으로 평가하고 경향성을 파악하고자 한다. 이를 위해 실제 MRI 장비를 기반으로 새롭게 개발된 MRiLab simulation tool을 사용하여 모든 파라미터를 같게 고정한 후 TE만을 20~95 ms범위에서 5 ms 간격으로 각각 설정하여 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하였다. 획득된 영상들의 신호 및 노이즈 특성 변화를 정량적으로 평가하기 위해 신호대잡음비 및 대조대잡음비를 측정하였다. 결과적으로, TE가 증가할수록 SNR은 감소하고 CNR은 증가하는 경향을 보였다. 이는 TE가 증가할수록 관심 영역으로 설정된 뇌척 수액 신호는 일정하게 유지되는 반면 노이즈는 증가하였으며, 백그라운드로 설정된 백질의 경우 신호가 감소함과 동시에 노이즈가 증가한 것이 원인으로 분석된다. 결론적으로, 진단에 용이한 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하기 위해서는 그 목적에 따라 적합한 TE를 설정하는 것이 중요함을 확인하였다.