• Title/Summary/Keyword: THREAT

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Text Mining Analysis of News Articles Related to 'Space Hazard' ('우주 위험' 관련 뉴스 기사의 텍스트 마이닝 분석 연구)

  • Jo, Hoon;Sohn, Jungjoo
    • Journal of the Korean earth science society
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    • v.43 no.1
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    • pp.224-235
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    • 2022
  • This study aimed to confirm the status of media reports on space hazards using topic modeling analysis of media articles that are related to space hazards for the past 12 years. Therefore, Latent Dirichlet Allocation (LDA) analysis was performed by collecting over 1200 space hazards articles between 2010 and 2021 on solar storm, artificial space objects, and natural space objects from BIGKins news platform. The articles related to solar storm focused on three topics: the effect of solar explosion on satellites; effect of solar explosion on radio communication in Korea, centered on the Korean Space Weather Center; and relationship between aircrew and space radiation. The articles related to artificial space objects focused on three topics: the threat of space garbage to satellite and space stations and the transition of useful objects into space junk; the relationship between space garbage and humanity as shown in movies; and the effort of developed countries for tracking, monitoring, and disposing of space garbage. The articles related to natural space objects focused on two topics: International Space Agency's tracking and monitoring of near-Earth asteroids and the countermeasures of collisions, and the evolution and extinction of dinosaurs and mammals, with a focus on the collisions of asteroids or comets. Therefore, this study confirmed that domestic media play a role in conveying dangers of space hazards and arousing the attention of public using a total of eight themes in various fields such as society and culture, and derived education method and policy on space hazards.

A Study on Unauthorized Anchoring of Foreign-flag Vessels in Internal Waters and Territorial Sea (외국선박의 내수 및 영해 무단정박에 관한 연구)

  • Lim, Chae-Hyun;Lee, Chang-Hee;Jeong, Dae-Deuk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.2
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    • pp.280-289
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    • 2022
  • Internal Waters refer to the waters located at the landward side of a baseline and is completely under the sovereignty of a coastal state. However, the right of innocent passage of foreign-flag vessels is recognized in internal waters that are newly incorporated by establishing a straight baseline. Korea has a massive Internal Waters on its south-western coast where the straight baseline is adopted and has a wide Internal Waters that allows innocent passage. A foreign-flag vessel navigating the internal waters must be properly managed according to the interest of the coastal states such as the fishing·safety·security·environment around the Korean coast. Additionally, Territorial Sea comes under the sovereignty of a coastal state and it is a very important sea area for managing the interests of the coastal states. However, several collision accidents involving illegally anchored or drifted foreign-flag vessels have been occurring recently in the Korean Internal Waters and Territorial Sea, and such accidents are a threat to its interests. Thus, this paper analyzes the cases of collision of foreign-flag vessels that anchored or drifted without authorization, and examines domestic·international laws on the passage of foreign-flag vessel through Internal Waters and Territorial Waters. Finally, this paper suggests that unauthorized anchoring of foreign-flag vessels in Korean Internal Waters and Territorial Water violates the requirements for innocent passage and this violation is punishable according to related Acts; a desirable improvement plan for the legal system of passage through Internal Waters and Territorial Waters.

Risk Assessment of Arsenic-Contaminated Groundwater in Multiple Scenarios in a Rural Area of Gyeongnam Province, Korea (경남 농촌 지역 비소 오염 지하수의 시나리오별 위해성 평가)

  • Oh, Serim;Lee, Jin-Yong;Moon, Sang-Ho;Jang, Jiwook;Jeong, Eunju
    • The Journal of Engineering Geology
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    • v.32 no.4
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    • pp.437-448
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    • 2022
  • This work aims to assess the threat to human health of hazardous materials in groundwater that is used domestically and for drinking. Two distinct sub-assessments are considered: cancer and non-cancer risk. The studied groundwater is in an agricultural area of Gyeongnam Province, Korea, and is contaminated by arsenic at a mean level of 16.27 ㎍/L, far greater than the WHO guideline (10 ㎍/L for drinking water). We collected groundwater data from the National Groundwater Information Center (gims.go.kr) and assessed the risk to human health following the methodology of the United States Environmental Protection Agency. We considered three exposure scenarios: domestic use (scenario 1) and drinking use with different doses (scenarios 2 and 3). Scenario 1 had a median hazard quotient (HQ) of 0.77 and a cancer risk (CR) of 0.013. Scenario 2 had a median HQ of 0.08 and a CR of 3.69 × 10-5, and the values for scenario 3 were 0.11 and 4.82 × 10-5, respectively. Scenario 1 is likely the most hazardous to human health. Further study of the origin of arsenic in groundwater in the study area is required, as are remedial measures to mitigate its health effects.

Cytokine-cytokine receptor interactions in the highly pathogenic avian influenza H5N1 virus-infected lungs of genetically disparate Ri chicken lines

  • Vu, Thi Hao;Hong, Yeojin;Truong, Anh Duc;Lee, Jiae;Lee, Sooyeon;Song, Ki-Duk;Cha, Jihye;Dang, Hoang Vu;Tran, Ha Thi Thanh;Lillehoj, Hyun S.;Hong, Yeong Ho
    • Animal Bioscience
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    • v.35 no.3
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    • pp.367-376
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    • 2022
  • Objective: The highly pathogenic avian influenza virus (HPAIV) is a threat to the poultry industry as well as the economy and remains a potential source of pandemic infection in humans. Antiviral genes are considered a potential factor for HPAIV resistance. Therefore, in this study, we investigated gene expression related to cytokine-cytokine receptor interactions by comparing resistant and susceptible Ri chicken lines for avian influenza virus infection. Methods: Ri chickens of resistant (Mx/A; BF2/B21) and susceptible (Mx/G; BF2/B13) lines were selected by genotyping the Mx dynamin like GTPase (Mx) and major histocompatibility complex class I antigen BF2 genes. These chickens were then infected with influenza A virus subtype H5N1, and their lung tissues were collected for RNA sequencing. Results: In total, 972 differentially expressed genes (DEGs) were observed between resistant and susceptible Ri chickens, according to the gene ontology and Kyoto encyclopedia of genes and genomes pathways. In particular, DEGs associated with cytokine-cytokine receptor interactions were most abundant. The expression levels of cytokines (interleukin-1β [IL-1β], IL-6, IL-8, and IL-18), chemokines (C-C Motif chemokine ligand 4 [CCL4] and CCL17), interferons (IFN-γ), and IFN-stimulated genes (Mx1, CCL19, 2'-5'-oligoadenylate synthase-like, and protein kinase R) were higher in H5N1-resistant chickens than in H5N1-susceptible chickens. Conclusion: Resistant chickens show stronger immune responses and antiviral activity (cytokines, chemokines, and IFN-stimulated genes) than those of susceptible chickens against HPAIV infection.

Outdoor Workers and Compensating Wage Differentials: A Comparison across Regions and Wage Levels (실외노동과 보상적 임금격차: 지역별·분위별 추이)

  • Jeong, Sangyun;Song, Changhyun;Kim, Yeonwoo;Lim, Up
    • Journal of the Korean Regional Science Association
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    • v.38 no.2
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    • pp.3-20
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    • 2022
  • The purpose of this study is to explore the heterogeneity of compensating wage differentials for outdoor workers, under the threat of climate change and heatwave, by region and by wage quantile. This study conducted Oaxaca-Blinder decomposition, multiple regression analysis by region, and unconditional quantile regression analysis using the Korean Working Conditions Survey, which provides individual-level information on the working environment and worker's characteristics. The implications derived from the results of the study are as follows: For most variables, the endowment effect and the price effect were greater for indoor workers, while experience and gender played a role in narrowing the wage gap; The compensating wage differentials for outdoor workers were confirmed to be 2.4% nationwide, depending on the region however, the compensating wage differentials varied from 5 times of national average to nothing statistically significant; The higher the wage quantile, the greater the compensating wage differentials for outdoor workers, and statistically significant monetary compensation was not identified for some low-level outdoor workers. This study is meaningful as an early study that revealed the heterogeneity of compensating wage differentials for outdoor workers and suggested further research on the topic.

Malicious Traffic Classification Using Mitre ATT&CK and Machine Learning Based on UNSW-NB15 Dataset (마이터 어택과 머신러닝을 이용한 UNSW-NB15 데이터셋 기반 유해 트래픽 분류)

  • Yoon, Dong Hyun;Koo, Ja Hwan;Won, Dong Ho
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.2
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    • pp.99-110
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    • 2023
  • This study proposed a classification of malicious network traffic using the cyber threat framework(Mitre ATT&CK) and machine learning to solve the real-time traffic detection problems faced by current security monitoring systems. We applied a network traffic dataset called UNSW-NB15 to the Mitre ATT&CK framework to transform the label and generate the final dataset through rare class processing. After learning several boosting-based ensemble models using the generated final dataset, we demonstrated how these ensemble models classify network traffic using various performance metrics. Based on the F-1 score, we showed that XGBoost with no rare class processing is the best in the multi-class traffic environment. We recognized that machine learning ensemble models through Mitre ATT&CK label conversion and oversampling processing have differences over existing studies, but have limitations due to (1) the inability to match perfectly when converting between existing datasets and Mitre ATT&CK labels and (2) the presence of excessive sparse classes. Nevertheless, Catboost with B-SMOTE achieved the classification accuracy of 0.9526, which is expected to be able to automatically detect normal/abnormal network traffic.

One-health Approach in the Post-COVID-19 Era: Focusing on Animal Infection (One-health 관점에서 본 Post-COVID-19 시대의 동물 감염)

  • Hye-Jeong Jang;Sun-Nyoung Yu;O-Yu Kwon;Soon-Cheol Ahn
    • Journal of Life Science
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    • v.33 no.2
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    • pp.199-207
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    • 2023
  • To prepare for the threat of a future epidemic in the post-COVID-19 era, research based on the one-health concept (i.e., the health of humans, animals, and the environment as "one") is essential. Cross-species infections are being identified as a result of the high infection rate and viral load of SARS-CoV-2 in humans. The possibility of transmission of SARS-CoV-2 from humans to mink has been determined. In addition, the transmission of SARS-CoV-2 from humans to cats through contact has been considered possible. The data so far show that livestock and poultry are less likely to be infected with SARS-CoV-2. However, if infections are established through a new mutation, the resulting diseases are expected to have enormous ripple effects on various fields, such as human food security, the economy, and trade. In addition, there are concerns about the endemic prospect of SARS-CoV-2 and the high accessibility of companion animals. This is because the evolution of the virus likely occurs in animal hosts. Once SARS-CoV-2 is established in other species, they might serve as intermediate hosts for the re-emergence of the virus in the human population. Thus, it is necessary to ensure a rapid response to future outbreaks by accumulating research data on the animal infection of SARS-CoV-2. These data can have implications for the development of animal models for vaccines and therapeutics against SARS-CoV-2. Therefore, in this study, epidemiological reviews were analyzed, and response strategies against SARS-CoV-2 infection in animals were presented using the One-health approach.

Microplastics in Processed Food: New Threats to Food Safet (가공식품에서의 미세플라스틱: 새로운 식품안전에 대한 위협)

  • Jihoo Kim;Hyeyoung Lee;Dong-Seob Kim;Chung-Yeol Lee;Heeseob Lee
    • Journal of Life Science
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    • v.33 no.2
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    • pp.216-226
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    • 2023
  • Since nylon 66, a polyamide resin, has been developed and applied to toothbrush bristles, plastic consumption has increased rapidly every year, along with the increase in the amount of plastic discarded. Among the various forms of plastic debris produced by the decomposition of plastics, microplastics with a size of less than 5 mm are widely distributed in the environment, which poses a threat not only to the environment but also to animals and humans. The pathway through which microplastics enter the human body is known as ingestion by water and food, inhalation from air, and skin contact. Microplastics introduced into the human body affect human health. Recently, food-related studies have begun to be reported among microplastics-related studies, and analyses of the presence of microplastics in processed foods, such as canned foods, dried seaweed, beverages, beer, milk, sugar, and honey, are underway. Here, we present trends in the production and consumption of plastics, the generation of microplastics, the route of human inflow and human risk, and the microplastics present in processed foods, which are limited but have recently been reported. Thus far, studies on microplastics and risk assessment in processed foods have been insufficient, but microplastics are gradually being recognized as a factor that affects the environment and food. Future studies are expected to have implications for regulations regarding microplastics present in processed foods.

Epidemiological Study of KPC-2 Producing Klebsiella pneumoniae Isolated in Daejeon During a 4-Year Period (최근 4년간 대전지역에서 분리된 KPC-2 생성 Klebsiella pneumoniae의 역학적 연구)

  • Hye Hyun, Cho
    • Korean Journal of Clinical Laboratory Science
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    • v.54 no.4
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    • pp.265-272
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    • 2022
  • The emergence and dissemination of carbapenemase-producing Enterobacteriaceae (CPE), particularly the Klebsiella pneumoniae carbapenemase-2 (KPC-2) producing Klebsiella pneumoniae, has been rapidly increasing worldwide and is becoming a serious public health threat. Since the epidemiology and characteristics of these KPC-2-producing K. pneumoniae vary according to the region and period under consideration, this study investigated the prevalence of carbapenemases and the epidemiological relationship of 78 carbapenem-resistant K. pneumoniae (CRKP) isolated from a tertiary hospital in Daejeon, from March 2017 to December 2020. The antimicrobial susceptibility tests were identified using the disk-diffusion method. PCR and DNA sequencing were used to determine the carbapenemase genes. In addition, molecular epidemiology was performed by multilocus sequence typing (MLST). Among the 78 CRKP isolates, 35 isolates (44.9%) were carbapenemase-producing K. pneumoniae (CPKP) and the major carbapenemase type was KPC-2 (30 isolates, 85.7%). The New Delhi metallo-enzyme-1 (NDM-1) and NDM-5 were identified in 4 isolates (11.4%) and 1 isolate (2.9%), respectively. Multilocus sequence typing (MLST) analysis showed 10 sequence types (STs) and the most prevalent ST was ST307 (51.4%, 18/35). All the ST307 isolates were KPC-2-producing K. pneumoniae and were multidrug-resistant (MDR). In addition, ST307 has gradually emerged during a four-year period. These findings indicate that continuous monitoring and proper infection control are needed to prevent the spread of KPC-2-producing K. pneumoniae ST307.

Replay Attack based Neutralization Method for DJI UAV Detection/Identification Systems (DJI UAV 탐지·식별 시스템 대상 재전송 공격 기반 무력화 방식)

  • Seungoh Seo;Yonggu Lee;Sehoon Lee;Seongyeol Oh;Junyoung Son
    • Journal of Aerospace System Engineering
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    • v.17 no.4
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    • pp.133-143
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    • 2023
  • As drones (also known as UAV) become popular with advanced information and communication technology (ICT), they have been utilized for various fields (agriculture, architecture, and so on). However, malicious attackers with advanced drones may pose a threat to critical national infrastructures. Thus, anti-drone systems have been developed to respond to drone threats. In particular, remote identification data (R-ID)-based UAV detection and identification systems that detect and identify illegal drones with R-ID broadcasted by drones have been developed, and are widely employed worldwide. However, this R-ID-based UAV detection/identification system is vulnerable to security due to wireless broadcast characteristics. In this paper, we analyze the security vulnerabilities of DJI Aeroscope, a representative example of the R-ID-based UAV detection and identification system, and propose a replay-attack-based neutralization method using the analyzed vulnerabilities. To validate the proposed method, it is implemented as a software program, and verified against four types of attacks in real test environments. The results demonstrate that the proposed neutralization method is an effective neutralization method for R-ID-based UAV detection and identification systems.