과거 교통에서는 이동의 신속성이 중시되고 자동차의 통행이 우선이었던 반면, 현재는 모든 교통 이용자의 안전한 이동과 보행자가 중요시되는 방향으로 교통정책이 나아가고 있다. 보행자의 안전하고 쾌적한 통행과 교통약자의 이동권의 보장이 강조됨에 따라서, 향 후 교통약자 보호구역의 역할도 확대될 것으로 예상된다. 그러나 교통약자의 안전한 보행 공간 확보와 보행사고 피해의 축소라는 목 적과 달리, 스쿨존 내 사고 등은 지속적으로 발생하고 있는 추세이다. 이에 본 연구에서는 보호구역의 사고 위험을 판단하고 안전성을 분석하고자 하였다. 교통사고의 위험성을 비교하고 사고 예방이 필요한 보호구역을 판단하기 위한 기준으로서 사고 위험도를 정량화 하였다. 서울시 보호구역 내 사고 데이터를 보호구역 구간별 특성 데이터와 결합하여 구간별 사고 건수 및 피해 정도를 자료화하고, 도로 속성을 기준으로 보호구역 구간을 유형화하였다. 보호구역 유형별 사고 발생확률과 평균 피해 정도를 구해 도로의 속성마다 다 른 사고 발생 특성을 반영하였다. 사고 위험도는 사고 발생빈도와 피해 정도를 통해 판단하고자 하였다. 사고 발생빈도는 도로 면적과 발생 건수를 기준으로 하여 산출하였고, 피해 정도는 유형에 따른 사고 발생확률과 발생빈도, 평균 피해 정도를 통해 산출하였다. 위 험도에 대한 정량적 분석모델을 통해 사고 위험이 높다고 판단되는 보호구역과 해당 구간의 특성을 알아보고, 각 행정구역별로 보호 구역에서의 교통사고 위험성을 비교하였다. 이를 통해 사고 위험이 높은 지역과 유형이 무엇이며, 어떠한 특성을 보이는지 파악하여 보호구역 개선 방향을 제시하고자 한다.

This study quantitatively analyzes risks of industrial incidents to fisher on overseas tuna purse seiners and long liners. A Bayesian network is employed to analyze 478 cases of industrial incidents, comprising 401 cases from purse seiners and 77 cases from long liners, reported from 2019 to 2022. The highest risk of industrial incidents on purse seiners is attributed to diseases. Excluding diseases, risks are the highest during fishing: 5.31 times higher during catch handling, 2.05 times higher during maintenance, and 2.38 times higher during loading and unloading. The risk of industrial incidents caused by the hull is 9.50 times higher than those caused by fishing gear, 4.59 times higher than those caused by machinery, and 3.61 times higher than those caused by the caught fish. Among the types of industrial incidents, slips are the highest: 2.58 times higher than industrial incidents caused by being bump, 3.74 times higher than those caused by hit, and 3.94 times higher than those caused by imbalance and overexertion. For long liners, most industrial incidents are concentrated in diseases, with dental, musculoskeletal, skin, and respiratory diseases being the primary types of industrial incidents identified. This study aims to propose reduction measures for reducing the high-risk form of industrial incidents, specifically slips, and to present health management strategies for preventing diseases among fisher on overseas tuna fishing vessels. By addressing these aspects, this study seeks to contribute to the safety and sustainability of the overseas tuna fishing industry.

본 연구는 Diode Array Detector (DAD)가 장착된 고성능 액체 크로마토그래피(HPLC)를 이용하여 산초나무 잎에 함유된 chlorogenic acid와 hesperidin을 동시에 분석할 수 있는 표준 정량법 개발을 확립하고자 실시하였다. 산초나무 잎의 chlorogenic acid와 hesperidin은 MS/MS 분석 및 표준물질과의 유지시간(RT), UV 흡광도 비교를 통해 확인하였고, 산초나무 잎의 지표물질로 선정하였다. 개발한 분석방법은 지표물질을 대상으로 특이성, 정확성, 정밀도, 검출한계, 정량한계, 선형성에 대해 최적화하고 검증하였다. HPLC 분석으로 두 화합물에 대한 검량선은 각각 0.99% 이상의 높은 상관계수(r2)를 보였다. Chlorogenic acid의 전체 회수율은 106.82%이었고, hesperidin의 전체 회수율은 107.37%였다. Chlorogenic acid의 검출한계(LOD)는 0.271μg/ml, Hesperidin의 검출한계(LOD)는 0.005μg/ml였다. Chlorogenic acid의 일간정밀도는 0.102% (RSD%), Hesperidin의 일간정밀도는 1.038% (RSD%)였다. 본 연구에서 개발한 HPLC-DAD 분석방법은 기능성 원료 인정을 위한 분석기준을 충족하였다. 따라서 본 연구에서 확립한 HPLC 분석법은 향후 산초나무 잎에서 유래한 생리활성물질의 대량추출 및 관련제품을 개발할 때 원료 표준화에 적용가능할 것이다.

This study employs Bayesian network analysis to quantitatively evaluate the risk of incidents in trap boats, utilizing accident compensation approval data spanning from 2018 to 2022. With a dataset comprising 1,635 incidents, the analysis reveals a mortality risk of approximately 0.011 across the entire trap boat. The study significantly identifies variations in incident risks contingent upon fishing area and fishing processes. Specifically, incidents are approximately 1.22 times more likely to occur in coastal compared to offshore, and the risk during fishing processes outweighs that during maintenance operations by a factor of approximately 23.20. Furthermore, a detailed examination of incident types reveals varying incidence rates. Trip/slip incidents, for instance, are approximately 1.36 times more prevalent than bump/hit incidents, 1.58 times more than stuck incidents, and a substantial 5.17 times more than fall incidents. The study concludes by providing inferred mortality risks for 16 distinct scenarios, incorporating fishing areas, processes, and incident types. This foundational data offers a tailored approach to risk mitigation, enabling proactive measures suited to specific circumstances and occurrence types in the trap boat industry.

Reported positive ion fragmentation of phenolic acid derivatives in rice (Oryza sativa L.) were summarized based on the literature. A total of eight phenolic acids (4 derivatives of ferulic acid, 3 derivatives of sinapic acid and p-coumaric acid) were isolated and identified from rice (raw and steamed) using UPLC-DAD-QToF/MS. Results revealed that 6-O-feruloylsurose was the major component with 3'-O-sinapoylsucorse being tentatively identified in Oryza sativa L. for the first time as a new hydroxycinnamoyl derivative in rice grains. In our study, raw brown rice had the highest phenolic acid contents with Samkwang showing higher phenolic acid content than Saeilmi and Sindongjin (12.41 vs. 7.89 and 3.10 mg/100 g dry weight, respectively). Of all varieties, brown rice had higher phenolic acid contents than white rice. These contents decreased considerably when rice was steamed whereas, p-coumaric acid and ferulic acid contents were increased. Additionally, contents of rice (raw and steamed) can be used as a fundamental report for new rice varieties.

This study aims to promote the necessity for future research from the perspective of the indoor environment by analyzing the trend of domestic COVID-19 confirmed cases and examining previous quantitative research cases. The limitations of the qualitative management plan were identified by analyzing the trend of confirmed cases and deaths in Korea and the trend before and after the implementation of 'social distancing' and 'step-by-step daily recovery', which are actually being applied. The trend of initial and follow-up measures for the outbreak of infectious diseases in Korea is judged to be a case where the importance of qualitative and quantitative management should be confirmed to prepare absolute quarantine measures. The results suggest that examining previous research cases and preparing through advanced research for effective application.

The interest in greenhouse gases (GHG) emitted from all industries is emerging as a very important issue worldwide. This is affecting not only the global warming, but also the environmentally friendly competitiveness of the industry. The fisheries sector is increasingly interested in greenhouse gas emissions also due to the Paris Climate Agreement in 2015. Korean industry and government are also making a number of effort to reduce greenhouse gas emissions so far, but the effort to reduce GHG in the fishery sector is insufficient compared to other fields. Especially, the investigation on the GHG emissions from Korean fisheries did not carry out extensively. The studies on GHG emissions from Korean fishery are most likely dealt with the GHG emissions by fishery classification so far. However, the forthcoming research related to GHG emissions from fisheries is needed to evaluate the GHG emission level by species to prepare the adoption of Environmental labels and declarations (ISO 14020). The purpose of this research is to investigate which degree of GHG emitted to produce the species (swimming crab and snow crab) from various fisheries. Here, we calculated the GHG emission to produce the species from the fisheries using the life cycle assessment (LCA) method. The system boundary and input parameters for each process level are defined for LCA analysis. The fuel use coefficients of the fisheries for the species are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for producing the unit weight species and annual production are calculated by fishery classification. The results will be helpful to establish the carbon footprint of seafood in Korea.

본 연구는 동백나무 종자에 함유된 생리활성물질인 camelliaside B의 표준정량화를 위해 고성능 액체 크로마토그래피 (HPLC-DAD) 분석법을 확립하고자 실시하였다. 동백나무 종자에 함유된 주요화합물은 MS/MS 분석, UV 흡광도, 화합물의 유지시간 등을 통해 얻은 결과에 바탕을 두어 camelliaside B를 동백나무 종자 추출물의 지표물질로 선정하였다. Camelliaside B의 HPLC 분석법에 대한 특이성, 정확성, 정밀도 및 정량한계 등을 검증하였다. Camelliaside B 분석을 위해 표준화된 HPLC 분석법은 0.99% 이상의 상관계수(R2)로 높은 선형성을 가지는 것을 보여주었다. Camelliaside B의 회수율은 100.42-108.00%였으며, 검출한계 (LOD)와 정량한계 (LOQ)는 각각 0.084㎍/㎖, 0.254㎍/㎖였다. 동백나 무 종자 지표물질 (camelliaside B)의 일중 정밀도는 각각 0.09-0.16 RSD였으며, 일간정밀도는 0.123 RSD였다. 표준화된 분석법으로 지역별로 수집한 동백나무 종자의 camelliaside B의 함량은 0.279-2.05㎎/g 으로 다양하였다. HPLC 분석법으로 확인한 모든 매개변수는 기능성 원료 인정을 위한 제출자료 작성 기준을 충족하였다. 따라서 본 연구에서 확립한 HPLC 분석법은 동백나무 종자 추출물 유래 건강 관련 기능성 제품 또는 의약품 개발의 첫 단계를 제공할 수 있을 것이다.

This study evaluated the sensory characteristics of sauerkraut prepared by adding 0.5, 1.0, 1.5, 2.0, and 2.5% (w/w) sea salt to cabbage. The quantitative descriptive analysis (QDA) and acceptance test of sauerkraut were determined for each salt concentration, and the principal component analysis (PCA) and partial least square regression (PLSR) analysis were performed to confirm the correlation between each factor. Results of the QDA determined 14 descriptive terms; furthermore, brightness and yellowness of appearance and the sour, salty, and bitter flavors differed significantly according to the salt concentration. Results from the PCA explained 22.56% PC1 and 65.34% PC2 of the total variation obtained. Sauerkraut prepared using 0.5, 1.0, and 1.5% sea salt had high brightness, moistness, sour odor, green odor, sour flavor, carbonation, hardness, chewiness, and crispness, whereas sauerkraut prepared with 2.0 and 2.5% sea salt had high yellowness, glossiness, salty flavor, sweet flavor, and bitter flavor. Hierarchical cluster analysis classified the products into two clusters: sauerkraut of 0.5, 1.0, and 1.5%, and sauerkraut of 2.0 and 2.5%. Results of PLSR determined that sauerkraut of 1.0 and 1.5% were the closest to texture, taste, and overall acceptance. We, therefore, conclude that sauerkrauts prepared using 1.0 and 1.5% sea salt have excellent characteristics in appearance, taste, and texture.

A wire rod, a material for multistage cold forging, is subjected to spheroidization and low annealing heat treatment to secure formability, and a phosphate coating treatment on the material surface to secure lubricity. The film layer produced by the phosphate treatment process is involved in adhesion to the material surface, adhesion to the forging die surface, and lubricity. This results in the increase or decrease of the forming load and the increase or decrease of the die life in the cold forging process. In particular, as the cold forging process progresses, the phosphate film is damaged and the original performance is deteriorated, so there is a high possibility of process defects. In case of excessive damage, the film is completely lost and die soldering occurs. Therefore, in this study, quantitative criteria for phosphate film damage are presented and the effect on the cold forging process is analyzed based on this to improve process analysis prediction accuracy. Therefore, in this study, quantitative criteria for phosphate film damage are presented, and based on this, the friction coefficient in the multi-stage cold forging process is to be derived.

국내외에서 80여 종이 넘는 담수 및 해산어류를 감염시켜 대량폐사를 발생시키는 바이러스성 출혈성 패혈증 바이러스 (VHSV) 진단검사를 위해 넙치의 여러 조직의 바이러스 발현량에 대한 정량적 데이터를 시간순서에 따라 분석하였다. 무작위 선별된 넙치에 3.0E+07 TCID50 per 0.1 mL per fish의 VHSV를 복강 주사하여 시간순서 (0시간, 6시간, 12시간, 1일, 2일, 3일, 5일, 7일)에 따라 조직 (아가미, 간, 신장, 비장, 근육)을 채취하였다. Real-time PCR 법을 통해 상대 정량한 결과 5일차 아가미, 간, 신장, 비장에서 바이러스의 발현량이 가장 높게 나타났다. 이번 연구를 통해 감염 초기단계에서 비장이 VHSV 확정진단을 위한 적정조직임을 입증하였으며, 국내 법정전염병 진단에 중요한 정보를 제공할 것이다.

The concern on the greenhouse gas emission is strongly increasing globally. In fishery industry section, the greenhouse gas emissions are an important issue according to The Paris Climate Change Accord in 2015. The Korean government has a plan to reduce the GHG emissions as 4.8% compared to the BAU in fisheries until 2020. Furthermore, the Korean government has also declared to achieve the carbon neutrality in 2050 at the Climate Adaptation Summit 2021. However, the investigation on the GHG emissions from Korean fisheries did not carry out extensively. Most studies on GHG emissions from Korean fishery have dealt with the GHG emissions by fishery classification so far. However, follow-up studies related to GHG emissions from fisheries need to evaluate the GHG emission level by species to prepare the adoption of environmental labels and declarations (ISO 14020). The purpose of this research is to investigate which degree of GHG emitted to produce the species (hairtail and small yellow croaker) from various fisheries. Here, we calculated the GHG emission to produce the species from the fisheries using the Life Cycle Assessment method. The system boundary and input parameters for each process level are defined for the LCA analysis. The fuel use coefficients of the fisheries for the species are also calculated according to the fuel type. The GHG emissions from sea activities by the fisheries will be dealt with. Furthermore, the GHG emissions for producing the unit weight species and annual production are calculated by fishery classification. The results will be helpful to understand the circumstances of GHG emissions from Korean fisheries.

금남호남･호남정맥 마루금 일대 식생구조를 알기 위해 입지환경과 인위적 영향을 고려해 금남호남정맥 2곳, 호남정맥 4곳을 중점조사지로 골라 식생조사를 실시했다. TWINSPAN을 써서 두 정맥은 각각 7개씩의 식물군락으로 유형화됐다. TWINSPAN기법의 식별종은 식물군락의 환경요인을 간접적으로 대변하는데 두 정맥의 군락 유형은 해발고, 토양수분, 교란 등의 환경요인에 의해 분할됐다. 이 결과는 DCA 1축의 환경요인과 조화를 이루었다. 두 정맥은 모두 저지대에선 리기다소나 무, 곰솔 등의 조림수종과 자생종이 서로 경쟁 관계에 있었다. 이처럼 정맥의 저지대는 조림, 개발사업 등으로 인위적 식생 교란이 심한 편이었다. 상대적으로 고지대의 능선부･상부사면･정상부는 신갈나무･굴참나무･소나무가 우점하는 식생유형이 양호하게 보전됐다. 차이점으론 금남호남정맥은 호남정맥보다 해발고와 위도가 높아 신갈나무우점군락이 가장 넓게 분포했다. 반면, 호남정맥은 신갈나무와 함께 소나무우점군락이었고, 남해안에 인접해 있어 곰솔우점군락이 출현했다는 점이다. TWINSPAN과 DCA 등의 정량적 식생분석에선 종조성 변화와 그 변화를 일으키는 환경요인 추출이 중요하다. 이를 위해선 우연 출현종 제거와 환경요인을 상정한 조사계획 수립, 조사데이터의 특성에 부합한 최적의 분석기법 선택 등이 필요하다.

There has not been any scientific analysis on appropriate size of workforce and salary for civilian workers in military so far. Thus, this paper conducted analysis on propriety in employment size of military doctrine researchers using system dynamic methodology based on annual military doctrine workload. Vensim software was mainly used to measure complement of the research group based on data from job analysis. Secondly, a multiple regression analysis was performed to study an appropriate wage for researchers based on their expertise and working condition. The data from twenty public research institutions and twenty eight job positions that are performing similar duty with military doctrine researchers was obtained and utilized to create a salary- estimation regression equation in the analysis. Finally, with cost-benefit analysis method this paper studied financial effectiveness of hiring military doctrine researchers. Contingent valuation method, which has been recognized as one of the most effective methodologies in cost-benefit analysis on intangible value, was utilized to measure benefit of hiring the researchers. The methodology presented in this paper can be applied to measure and improve the efficiency of military organization not only in military doctrine research area but also in several military functional area (military training, logistics, administration, combat development, and combat support).