PURPOSES : As the number of fixed traffic enforcement equipments increase rapidly, it is necessary to improve efficient operation and management plans. The aim of this study is to evaluate the factors influencing fixed traffic enforcement equipment failure. METHODS : This study utilized binary logistic regression analysis using the database provided by the Korean Road Traffic Authority to evaluate the factors affecting the failure of fixed traffic enforcement equipment. RESULTS : As a result of the evaluation of this study, the main factors affecting failure were red-light camera, old equipment, Jeju, National expressways, and equipment with low speed limits. CONCLUSIONS : This study can be used as basic data on the improvement of operation management plas for maintenance of traffic enforcement equipment. Through this study, it will be possible to establish a step-by-step plan with high efficiency comapared to the input of required manpower.

Honeybee winter failure and mortality are a big issue in korea, especially from 2021 to 2023. Traditionally, honeybee winter failure has been estimated as Approximately 10-20%. However, for last 2 years, we had more than 35% of winter failure which impacted not only beekeeping sectors but also agriculture and the whole society as well. Primary factor was ascribed as honeybee mite resistance development to conventional acaricudes. Coinhabitance of tropilaelaps mite in honeybee complicated the mite problem. Further threat of vespa hornets especially in fall season would exerbate the wintering condition. More important is that the more frequent abnormal weather condition in fall and winter season could affected the winter bee production and maintenance of honeybee overwintering physiology. On these situation, we also observed some diseases were associated to the death of bees.

Honeybee winter failure and mortality are a big issue in korea, especially from 2021 to 2023. Traditionally, honeybee winter failure has been estimated as Approximately 10-20%. However, for last 2 years, we had more than 35% of winter failure which impacted not only beekeeping sectors but also agriculture and the whole society as well. Primary factor was ascribed as honeybee mite resistance development to conventional acaricudes. Coinhabitance of tropilaelaps mite in honeybee complicated the mite problem. Further threat of vespa hornets especially in fall season would exerbate the wintering condition. More important is that the more frequent abnormal weather condition in fall and winter season could affected the winter bee production and maintenance of honeybee overwintering physiology. On these situation, we also observed some diseases were associated to the death of bees.

제20대 대통령선거는 더불어민주당의 이재명 후보와 국민의힘의 윤석열 후보가 후보자의 자질 논란 등으로 역대급 비호감 선거로 인 식되었고, 정권재창출과 정권교체의 충돌, MZ세대에서 비롯된 세대 와 성별을 둘러싼 대립양상 등으로 초박빙의 선거였다. 제20대 대통 령선거에서 국민의힘의 윤석열 후보가 48.56%를, 더불어민주당의 이 재명 후보가 47.83%를 얻어 0.73% 차이로 윤석열 후보가 대통령에 당선되었다. 이에 제20대 대통령선거에서 더불어민주당의 이재명 후 보가 실패한 원인을 검토하면 다음과 같다. 첫째, 대장동개발비리의 혹에 대한 거듭된 말바꾸기와 책임전가식의 방어적 변명이 후보자에 대한 신뢰성을 약화시켰다. 둘째, 코로나19로 국가재정이 악화되는 상황에서 기본소득제에 대한 논란은 국민정서와의 부합성에서 한계를 보였다. 셋째, 정권교체에 대한 국민적 관심사를 정치교체와 국민통 합정부로 희석시키려는 수사적 표현은 국민을 설득하지 못하였다. 결 국 제20대 대통령선거에서 더불어민주당의 이재명 후보는 후보자의 자질논란, 국민정서와 부합되지 않는 기본소득제, 정권재창출에 대한 부정적 인식을 극복하지 못해 낙선한 것으로 보인다.

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

Use of ICT in Government has ability to improve service delivery to its citizens, and yet many developing countries have lagged behind in the implementation of e-Government. Many e-Government initiatives also failed to achieve their objectives in developing countries. This paper therefore aims to identify critical failure or success factors in Kenya, using Heeks’ Factor Model. A survey questionnaire was developed and data were collected and analyzed from officials and interested citizens. The analysis results enabled to highlight seven specific success and failure factors, and their constituent elements in Kenya. The Kenyan overall e-Government implementation score belongs to the Zone of Improvement (3.52 of total 5.0), which means partial success or failure. The enablers of e-Government projects are good strategy formulation, and internal and external drive, whereas main failures of e-Government are weak ICT infrastructure. The areas for improvement are project management, design, competencies and funding. Data analysis highlights both strengths and weaknesses for each factor or variable. In particular, Kenyan government excels at the drive for change by top to bottom government officers as well as external stakeholders, while the government officers who are using e-Government are satisfied with the availability of vision, strategy and plan of e-Government implementation. Both technologies and e-transactions laws were the worst of all the variables in e-Government implementation. Two areas should be improved using immediate corrective action. In-depth study reveals that government officers and citizens can’t fully use their laptop and mobile devices due to the lack of both ICT network and its operating technology, and legal system associated with the transaction of business information. Finally, the study ends up with recommendations for policy makers to shape the future of e-Government system in both developing and developed countries.

In patients with acute cerebral infarction, taranscranial ultrasonography is helpful in assessing blood flow, but in some patients, failure to detect cerebral blood flow through the temporal window is an important problem in expansion of clinical indications for transcranial ultrasonography. This study was performed between May 2016 and September 2016 in patients admitted to the neurology department of Chosun University Hospital with cerebral infarction and underwent transcranial ultrasonography and brain magnetic resonance image. Of the 129 patients, 47 were female (36.4%). The mean age of the patients was 80.7±8.0 years. Fifty patients (38.8%) did not showed any blood flow signal due to poor temporal window. The mean age of patients with temporal window failure (83.8±6.0 years) was significantly higher than without temporal window failure (78.7±8.5), and the temporal window failure was significantly higher in women. In conclusion, temporal window failure was more common in elderly and women in this study. In addition to temporal bone thickness and heterogeneity of temporal bone due to osteoporosis, hyperlipidemia may also be associated with temporal window failure and future prospective studies will be needed.