PURPOSES : In this study, the main factors affecting the severity of traffic accidents among elderly drivers were reviewed, and accident factors with a high accident risk were analyzed. This provided basic data for preparing a traffic safety system for elderly drivers and establishing policies. METHODS : Based on machine learning, the major factors influencing accident severity (from the analysis of traffic accident data for elderly drivers) were analyzed and compared with existing statistical analysis results. The machine learning algorithm used the Scikit-learn library and Python 3.8. A hyperparameter optimization process was performed to improve the safety and accuracy of the model. To establish the optimal state of the model, the hyperparameters were set (K = 5) using K-fold cross-validation. The hyperparameter search applied the most widely utilized grid search method, and the performance evaluation derived the optimal hyperparameter value using neutral squared error indicators. RESULTS : The traffic laws, road sections of traffic accidents, and time zones of accidents were analyzed for accidents involving elderly drivers in Daejeon Metropolitan City, and the importance of the variables was examined. For the analysis, a linear regression model, machine learning-based decision tree, and random forest model were used, and based on the root mean square error, the random forest accuracy performance was found to be the best. Ultimately, 18 variables were analyzed, including traffic violations, accident time zones, and road types. The variables influencing the accident severity were the speed, signal violation, intersection section, late-night driving, and pedestrian protection violation, with the relative importance of the variables in the order of speed (0.3490966), signal violation (0.285967), and late-night driving (0.173108). These can be seen as variables related to the expansion of life damage owing to physical aging and reduced judgment abilities arising from decreases in cognitive function. CONCLUSIONS : Restricting the driving of the elderly on the expressway and at night is reasonable, but specific standards for driving restrictions should be prepared based on individual driving capabilities.

PURPOSES : Presently, it is impossible to evaluate the actual number of operational plans and punctuality of bus routes. In this study, a methodology for separating bus stops and sorting departure orders was developed using city bus operation information, and its field applicability was examined. METHODS : Based on current bus data, the "moving speed (km/h)," "Lag data," and "Lead data" were generated. The number of stops was classified based on the location where the order of the stops changed for each vehicle, and an arbitrary ID was assigned for each number of stops. In the case of a preceding vehicle, for each rotation information, a time interval was calculated based on the same point, and the rotation with the smallest time interval was determined as the preceding vehicle. RESULTS : An evaluation was conducted on Bus Route 201 in Daejeon. The vehicles were classified based on the operation data of the previous day. From analyzing the operation time and distance for each operation based on the last stop and starting point, it was found that both the number of operation plans and performance were consistent. The punctuality was analyzed and was found to be inversely proportional to the difference between the stop arrival time and preset arrival time, preset dispatch interval, and actual dispatch interval. The on-time(regularity) ratio was determined as 98.0% and the early departure ratio was 99.3%, indicating very good regularity. CONCLUSIONS : The research results can be used by local governments with insufficient levels of public transportation-based data management, and can be used as basic data for establishing public transportation policies. The results of this study can be referred to when evaluating the transparency of financial support for public transportation operators and operations, with the aim of enhancing public transportation services.

This paper proposes a solution to the out-of band oscillation signal and in-band low transmitter power output that occurrs during the low-temperature operation test for the new mine detector GPR signal transmission and reception module. Tests were performed by applying the optimal values of capacitors and inductors through circuit analysis simulation under the limited space, as a result, it was confirmed that the gain and return loss were improved at all-band thereby preventing oscillation signal and low transmitter power output.

본 연구의 목적은 좌우 방향의 회전 후 직립자세 시 압력중심과 근전도 분석을 토대로 회전선호 도가 신체 안정성에 미치는 영향을 알아보고자 하였다. 연구의 대상은 오른쪽 손과 발의 편측선호도가 높 은 대상자 16명으로 3가지 회전방향 조건(QS: 직립자세, LT: 왼쪽 10바퀴, RT: 오른쪽 10바퀴)을 수행하 였다. 회전 후 직립자세 시 안정성을 평가하기 위하여 압력측정판과 근전도를 이용하여 결과를 도출하여 분석하였다. 연구결과로 모든 압력중심 변인은 QS보다 LT, RT가 크게 나타났지만, 회전방향에 따른 차이 는 보이지 않았다. 근전도 결과는 좌우 비복근에서 회전방향에 따라 RT가 QS보다 근활성도가 크게 발생 되었다. 결론적으로 대상자가 모두 오른쪽 측면선호도가 높았지만 압력중심에서는 회전선호도의 영향이 없 었고, 비복근에서는 회전선호도의 영향이 나타났다.

The experimental fish transplanted from China in 2015 was used after seedling production and cultivated. Breeding management for experiment was carried out from October 2020 to February 2021. Also, it succeeded in inducing artificial maturation three to four months earlier than wild broodstock and secured good quality fertilized eggs. The average size of fertilized eggs was 1.22 mm, at 20℃ Blastodisc (15 minutes post-fertilization), 2 cell (50 minutes), 4 cell (1 hours), 8 cell (2 hours), 16 cell (2 hours and 30 minutes), 32 cell (2 hours and 50 minutes), morula (3 hours), blastula (8 hours), gastrula (15 hours), skull formation (20 hours), organ formation (30 hours) and hatching yolk larvae stage (35 hours). The total length of the just hatched larvae were 2.50 ± 2 mm, and then gain growth of 42.5 mm by 60 days, reaching 45 ± 5 mm.

선박의 피로 손상 해석에는 운항적인 요소를 고려한 매개 변수들을 포함하고 있다. 이러한 운항적인 변수들 때문에 설계 단계 에서 예측하는 피로 손상도와 실제 운항 조건을 고려한 피로 손상도간의 차이가 발생한다. 마찬가지로 피로 해석에서 적재 하중 조건을 고려할 때 실제 컨테이너선은 다양한 적재 상태가 존재하지만 설계 단계에서 대표 하중 조건을 선택하여 피로 손상도를 계산한다. 실제 하중 조건과 설계시 하중 조건을 적용하였을 때 피로 손상 계산 결과의 차이가 예상됨에도 불구하고 컨테이너선의 하중 조건에 따른 피 로 손상 기여도에 관한 연구는 거의 이루어지지 않은 실정이다. 본 연구에서는 컨테이너선의 화물 중량 분포를 변화시켰을 때 피로 손상 기여도를 분석하고자 하였다. 일반적으로 설계 단계에서 적용하는 하중 조건뿐만 아니라 다양한 하중 조건을 생성하고 유체동역학 계산 으로 얻을 수 있는 선체 거더 하중 및 스펙트럴 피로 해석을 수행하여 얻은 피로 손상도를 확인하였다. 그 결과, 컨테이너선에서 화물 중 량 분포 변화는 선체 거더 하중을 변화시켰으며 선체 거더 응력에 영향을 주어 피로 손상의 변화를 야기시키는 것을 알 수 있었다.

선원은 해상이라는 노동환경의 공간적 특수성으로 말미암아 예측할 수 없는 다양한 해상위험에 노출되어 있어 이를 고려해 재해선원에 대한 충분한 보상이 필요하다. 그러나 우리나라의 선원법은 육상근로자와 비교했을 경우 재해선원에 대한 보상이 미흡한 상 태이다. 이에 본 연구에서는 유럽의 사회보험 선진국인 독일의 해양노동법, 산재보험법을 살펴보고 우리나라와 비교하여 시사점을 도출 하고자 하였다. 먼저 선원재해 발생 시의 보상 주체에 대해서 독일은 공적 성격의 기관에서 관리하는 반면 우리나라는 선박소유자가 전 적으로 보상하고 있는 것으로 조사되었다. 두 번째로 재해보상의 내용에 대해서 독일은 다양한 지원제도를 통해 연속적인 치료와 요양을 제공할 뿐 아니라 선박 업무 복귀를 위한 다양한 프로그램을 운영하고 있다. 그러나 우리나라는 선박소유자가 재해보상의 책임을 면할 수 있도록 하는 일시보상제도를 두고 있어 재해선원에게 불리한 상황인 것으로 분석되었다. 마지막으로 선원재해의 원인을 판단하는 주 체는 독일의 경우 공적 성격의 산재보험조합이 업무 기인성에 대해 판단하고 있으나, 우리나라는 선박소유자나 보험회사에 의해서 결정 되고 있는 것으로 나타났다. 따라서 우리나라의 재해선원에 대한 적절한 보상을 위해서 선원재해보상을 주관하는 공공기관을 설립하여 역할을 부여할 필요가 있으며, 재요양, 장해연금, 재활급여 등을 보상받을 수 있도록 선원법 정비 또는 관련 제도의 개선이 필요하다.

본 연구는 우리나라 해안에서 널리 서식 중인 해양 자원 중 하나인 전복(Haliotis discus hannai) 의 차세대염기서열분석 데이터 기반으로 선별한 신규 펩타이드의 항암 활성을 평가한 연구이 다. 펩타이드의 항암 활성은 교모세포종 세포주인 SNU-489에서 농도 의존적으로 처리 시간에 비례하여 증가하였으며, 200 μM로 48시간 처리하였을 때 암 세포 사멸율이 67%로 가장 높게 나타났다. 반면 정상 세포인 HaCaT에서 가장 높은 세포 사멸율은 18%로 농도 의존적이었으나 처리 시간과는 무관하였다. 또한 신규 펩타이드의 항암 메커니즘 과정을 밝히기 위해 세포자 멸괴사(Necroptosis) 관련 유전자의 발현 변화를 qRT-PCR 방법을 통해 검증하였다. RIPK3는 신 규 펩타이드 처리군에서 200 μM 처리 시 9배 이상 발현 증가, MLKL는 100 μM 처리군에서 대조군 대비 2배 이상 유의미하게 발현이 증가되었다. 이러한 결과로 미루어 볼 때, 전복 유래 신규 펩타이드는 암 세포 특이적으로 세포 독성을 가지며, 세포자멸괴사 메커니즘을 통해 암 세포 사멸을 일으키는 것으로 추측되므로 신규 펩타이드가 추후 교모세포종 치료제의 후보 물질로 활용될 수 있을 것으로 사료된다.

PURPOSES : In this study, we quantitatively prove the rubber necking phenomenon for highway traffic accidents and develop a calculation model based on the influencing factors. METHODS : Vehicle detector speed data in the opposite direction to the accident point were used based on the accident data on highways over the past three years, and a comparative verification was performed between nearby vehicle detector data to verify the reliability of the data. Accordingly, a binomial logistic model, ordinal probit regression model, and multilinear regression model were developed to compare the orientation. RESULTS : There was a difference in the influencing factors based on the dependent variable, and the day of the week, vehicle type, weather, longitudinal slope, and median height had an effect. Through a regression analysis, an influence coefficient was derived to calculate the driving speed deceleration value by rubbernecking. The results of the model analysis proved that the speed reduction caused by rubbernecking was more evident during the daytime than at night, during weekends compared to weekdays, and the speed reduction was more obvious for heavy vehicles compared to other types of vehicles. It can also be concluded that longer clearance time, higher accident severity, and higher traffic volume affect traffic delay. To verify the data and model equation, the mean prediction bias (MPB) and mean absolute deviation (MAD) were calculated for hundred cases randomly extracted from the collected accident data. These results were excellent. CONCLUSIONS : It can be developed into a human-engineered model that reflects various road/facility conditions, such as highways, other lanes, general roads, and roads without a median strip. This study is meaningful as a basic study on the quantitative effect of rubber necking.

Not disclosing or inadequate disclosing of material relationship between an influencer and an advertiser(brand) when the influencer is paid or provided with any benefit by the advertiser to create contents including endorsement or testimonial could lead to a type of unfair advertising prohibited by the Act on Fair Labeling and Advertising as a deceptive advertising. The Act only contains provisons that impose penalty surcharges on business entity and business entities’ organization and accordingly amendments were proposed which include articles imposing influencers sanction such as penalty surcharges and administrative fine for inadequate disclosure of material relationship with advertisers on their endorsement or testimonial. In this context, a review on constitutional legitimacy of such sanction on an influencer based on international regulation trends is called for. As a new kind of advertisement emerges in which commercial and non-commercial speech are mixed and it is difficult to discern between the two, the ground of more lenient and relaxed judicial review standard the Constitutional Court has been applied to decision on legitimacy of restrictions to commercial advertisement is weakening. Subtle marketing using influencers’ endorsement and testimonial lacking appropriate disclosure of material link to advertisers is also an example of the novel advertising expression. Even if the more lenient approach as well as the original proportionality test is applied, there is little room for constitutional justification of sanctions against individual influencers for inadequate disclosure because the sanctions is more extensive than is necessary to achieve the goal of legislation and the additional burden imposed on individuals is greater than the public interest promoted by the introduction of sanctions. It is also difficult to justify sanctions on individual influencers in terms of the Void for Vagueness doctrine. Rather than introducing sanctions on influencers not disclosing conspicuously, alternatives like means of securing voluntary regulatory compliance(commitments decision), activating civil damages claim and development of contractual provisions influencers should comply with, and use of self-regulatory code of conduct and self-regulatory review board are the solutions which is more constitutionally justifiable and more consistent with regulatory trends for inadequate disclosure in influencers’ endorsement and testimonial.

본 연구는 Yorkshire종, Landrace종 및 Duroc종에 대한 유전체자료를 이용하여 수퇘지의 웅취를 유발하는 세 가지 호르몬인 androstenone, indole 및 skatole 호르몬에 대한 유의적인 유전자영역, SNP 마커 및 후보유전자를 발굴하여 최종적으로 저웅취 종돈을 육종하는데 그 목적이 있다. Genomoe-Wide Association Study를 수행하기 위한 참조집단으로 수집한 유전체 정보는 Yorkshire, Landrace 및 Duroc종에서 각각 3,858 두, 472두 및 1,029두로 총 5,359두에 대한 유전체자료를 분석에 이용하였다. 추정되는 육종가의 정확도를 평가하기 위하여 REML방법을 ASREML 4.1 소프트웨어를 이용하여 분석하였고 세 가지 호르몬에 대하여 다형질 개체모형을 적용하였으며 추정된 육종가로부터 산출한 deregreessed DEBVincPA를 반응변수로 이용하여 연구를 수행하였다. 세 가지 호르몬에 대하여 BayesB와 C의 방법론을 통하여 분석한 결과 BayesB에서 세 가지 호르몬과 연관될 것으로 예상되는 SNP marker 9개, 즉 androstenone에서 3개, indole에서 1개 및 skatole에서 5개가 발굴되었다. BayesC에 서는 이보다 적은 SNP marker 3개가 발굴되었다. 수퇘지의 웅취 호르몬에 영향을 미칠 것으로 예상되는 후보유전자는 총 6개로 각각 LMAN2L, ABLI, NRG3, CDH12, TRAPPC9, MAN1A2로 나타났다