Objectives: Working at other times than the regular day shift has been reported to be a stressor associated with health consequences and mental disorders as well as disturbance of sleep. In current study, we aimed at investigating the relationship between work schedule, sleep quality and depression among police officers. Methods: Eleven hundreds and forty five police officers (male: 1040, female: 105) completed questionnaires of basic socio-demographic data, Pittsburgh Sleep Quality Index (PSQI), Korean Scale of Occupational Stress (KOSS), Impact of Event Scale - Revised (IES-R) and Center for Epidemiologic Study-Depression (CES-D). Results: After controlling for age, sex and educational level, score of CES-D was correlated positively with the score of KOSS, PSQI and IES-R on partial correlation analysis (r=-0.077; p=0.009, r=0.262; p<0.000 and r=0.421, p<0.000, respectively). Logistic regression analysis revealed that female sex, age, the score of KOSS and IES-R and schedule of rotating shift work predicted higher score than 16 score of CES-D significantly in total subjects (p=0.023, p=0.015, p=0.000, p=0.000 and p=0.022, respectively). Conclusion: Current result suggested that not only female sex, age, higher occupational stress and impact of event scale but also rotating shift work schedule might be related to depression among police officers.
As a result of a close review focusing on the case of obstruction of epidemiological investigation by a religious group A in Daegu, which was a problem when the pandemic of Covid-19 infection began in Korea around February 2, 2020, when an epidemiological investigator requested a specific group to submit a list, While there have been cases where an act of not responding or submitting an edited omission list was sentenced to the effect that the act did not fall under an epidemiological investigation, in the case of non-submission of the visitor list for the B Center, even though a 'list of visitors' was requested. Regarding the fact of refusal without a justifiable reason, 'providing a list of persons entering the building is a key factual act that forms a link between epidemiological investigations accompanying an epidemiological investigation, and refusing to do so is also an act of refusal and obstruction of an epidemiological investigation. There are cases where it is possible to demand criminal punishment. Regardless of whether the request for submission of the membership list falls under the epidemiological investigation, there are cases in which the someones' actions correspond to the refusal or obstruction of the epidemiological investigation. A lower court ruling that if an epidemiological investigation is rejected or obstructed as a result of interfering with factual acts accompanying an epidemiological investigation, comprehensively considering whether or not the list has been diverted for purposes other than epidemiological investigation, the logic is persuasive. Epidemiological investigations such as surveys and human specimen collection and testing are conducted for each infectious disease patient or contact confirmed as a result of the epidemiological investigation, but epidemiological investigations conducted on individual individuals cannot exist independently of each other, and the This is because the process of identification and tracking is essential to an epidemiological investigation, and if someone intentionally interferes with or rejects the process of confirming this link, it will result in direct, realistic, and widespread interference with the epidemiological investigation. In this article, ① there are differences between an epidemiological investigation and a request for information provision under the Infectious Disease Control and Prevention Act, but there are areas that fall under the epidemiological investigation even in the case of a request for information, ② Considering the medical characteristics of COVID-19 and the continuity of the epidemiological investigation, the epidemiological investigator the fact that the act of requesting a list may fall under the epidemiological investigation, ③ that the offense of obstructing the epidemiological investigation in certain cases may constitute 'obstruction of Performance of Official Duties by Fraudulent Means', and ④ rejecting the request for information provision under the Infectious Disease Control and Prevention Act from September 29, 2020 In this case, it is intended to be helpful in the application of the Infectious Disease control and Prevention Act and the practical operation of epidemiological investigations in the future by pointing out the fact that a new punishment regulation of imprisonment or fine is being implemented.
Journal of the Computational Structural Engineering Institute of Korea
/
v.20
no.3
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pp.273-279
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2007
Probabilistic Risk Assessment considering statistically random variables is performed for the preliminary design of an Arch Bridge. Component reliabilities of girders have been evaluated using the response surfaces of the design variables at the selected critical sections based on the maximum shear and negative moment locations. Response Surface Method (RSM) is successfully applied for reliability analyses lot this relatively small probability of failure of the complex structure, which is hard to be calculated by Monte-Carlo Simulations or by First Order Second Moment method that can not easily calculate the derivative terms in implicit limit state functions. For the analysis of system reliability, parallel resistance system composed of girders is modeled as a parallel series connection system. The upper and lower probabilities of failure for the structural system have been evaluated and compared with the suggested prediction method for the combination of failure modes. The suggested prediction method for the combination of failure modes reveals the unexpected combinations of element failures in significantly reduced time and efforts, compared with the previous permutation method or conventional system reliability analysis method.
Existing distributed systems have higher probability of failures occurrence than stand-alone system, so many fault tolerant techniques have been developed. Because of insufficient storage resulting from the increased fault tolerance information stored, the performance of system has been degraded. To avoid performance degradation, it needs delete useless fault tolerance information. In this paper, we propose a garbage collection algorithm for fault tolerance information. And we define and design the garbage collection agent for garbage collection of fault tolerance information, the information agent for management of fault tolerant data, and the facilitator agent for communication between agents. Also, we propose the garbage collection algorithm using the garbage collection agent. For rollback recovery, we use independent checkpointing protocol and sender based pessimistic message logging protocol. In our proposed garbage collection algorithm, the garbage collection, information, and facilitator agent is created with process, and the information agent constructs domain knowledge with its checkpoints and non-determistic events. And the garbage collection agent decides garbage collection time, and it deletes useless fault tolerance information in cooperation with the information and facilitator agent. For propriety of proposed garbage collection technique using agents, we compare domain knowledge of system that performs garbage collection after rollback recovery and domain knowledge of system that doesn't perform garbage collection.
Recently, much attentions are paid to the risk associated with increased uses of medium size radiation sources in medical and industrial fields. In this study, radiation risks to the worker and to the general public due to $^{99m}Tc$ generator were assessed for both normal and accident conditions. Based on the event tree technique, exposure scenarios for various situations were derived. Uncertainty analysis based on the Monte-Carlo technique was applied to the risk assessment for workers and members of the public in the vicinity of the work place. In addition, sensitivity analysis was performed on each of the five independent input parameters to identify importance of the parameters with respect to the resulting risk. Because the frequencies of normal tasks are fat higher than those of accidents, the total risk associated with normal tasks were higher than the accident risk. The annual dose due to normal tasks were $0.6mSv\;y^{-1}$ for workers and $0.014mSv\;y^{-1}$ for public, while in accident conditions $3.96mSv\;y^{-1}\;and\;0.0016mSv\;y^{-1}$, respectively. Uncertainty range of accident risk was higher by 10 times than that of normal risk. Sensitivity analysis revealed that source strength, working distance and working time were crucial factors affecting risk. This risk analysis methodology and its results will contribute to establishment of risk-informed regulation for medium and large radioactive sources.
The purpose of this study is to summarize the variables for making the power expansion of terrorist organizations possible by analyzing the power transitions among the Somalia governments and terrorisms. For this, I created a framework after extracting the independent variables affecting the power transition using the theories of Hans J. Morgenthau, A.F.K Organski, K.J. Holsti. On the basis of these, I analyzed the power transitions among the organizations from August 2012(the foundation of Federal government) to August 2019. According to the results, the power area of the federal government is extremely narrowed, whereas the power areas of al-Shabaab, ISIS, and neutral conflict are largely expanded. The factors in the framework were embodied as the delay of powerful federal government foundation, the shortage of national military forces, the limitation of effective use of foreign forces, the continuation of cooperation and antagonism among armed terrorist organization, sanctuary environment of terrorists using the Sharia law, advantages of force recruitment resulted from the bad economic conditions, public support suitable for the Somalia environment. All of these factors work the causes of lasting anarchy condition of the federal government of Somalia by making the settlement of conflict against terrorist organizations.
The study conducted a Focus Group Interview (FGI) on college students to identify single-person households and Solitary Deaths of single-person households recognized by college students. This can be provided as basic data to address problems in single-person households and social problems such as future youth solitary death and will contribute to building a social safety net. This study conducted FGI to analyze data for five fourth graders majoring in social welfare. In the case of involuntary independent living, the high poverty and unemployment rate of single-person households was cited as the cause of economic instability, housing problems and emotional relationship formation. He said that he thinks about young loneliness because he has vague fears about what happens in the media and what can happen to them. As the number of young single-person households will inevitably increase in the coming months and economic difficulties are the biggest problem and the biggest cause of young solitude, institutional support is needed first, especially for housing costs.
Confucius, whose life coincided with the Warring States period of China, is one of the most respected sages in world history whose teachings and life produced countless disciples in China, Korea, and Japan. There are innumerable pictures, sculptures, and other artworks that portray memorable deeds of Confucius and interesting anecdotes that involve his pupils. One of the most popular subjects for these Confucian portrayals is the anecdote in which Confucius and his pupil, Zhi Ru, discover a tilting vessel at an ancestral shrine in the Lu dynasty and use it to understand the doctrine of the mean. The vessel becomes the basis for the famous Chinese expression, "the cautionary vessel beside one's seat," which is nowadays used to denote one's motto for life. Portraits of these tilting vessels can be divided between those showing the vessels only and others that show Confucius observing the vessels. The former serve as visual reminders, for rulers and policy makers, of the doctrine of the mean that is necessary to fair and righteous governance. The latter form part of the pictorial biography of Confucius with educational content and messages. Interestingly, portraits of Confucius observing or studying tilting vessels have been famous among members of the royal court and the literati, circulated either as single artworks or included in the folding screens of human portraits. Portrayals of other Confucian anecdotes are mostly found in albums that visualize the genealogy of the Way; in contrast, the portraits of Confucius and the tilting vessels were included in folding screens that were popular among the literati that enjoyed stylish works of art and antiques. The portraits of tilting vessels thus highlight the diverse functions and symbolic value of human portraits. This study classifies the portraits of tilting vessels into various forms, and analyzes the period-and objective-dependent changes and characteristics in these portraits. With its exploration of the diverse functions and aspects of portraits of Confucian anecdotes, this study will shed new light on how ancient artists reanimated the lives of great sages and how these artworks differ in their expressions and styles.
KIPS Transactions on Software and Data Engineering
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v.12
no.4
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pp.179-188
/
2023
Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.
The purpose of this study is to compare with the general and behavioral characteristics between simple and serial arsonists using the data derived from Scientific Crime Analysis System, Criminal Filing Search System, and Crime Information Management System. The analysis and findings reported here are derived from data extracted from 160 arsonists arrested by police officer. The independent variables included such socio-economic characteristic as arsonists' gender, age, occupation, education level, and previous criminal records of arsonists, and finally the general characteristics of the scene of fire settings. The dependent variable is whether or not serial fire setter. To achieve the purpose, the analysis of frequencies and cross-tab were conducted. According to frequence and cross-tab analysis, there are great differences of the general and behavior characteristics between two groups. In the comparison of simple and serial arsonists, serial arsonists are more likely to have previous criminal records, low socio-economic status, unmarried and no cohabitants than simple arsonists. furthermore, serial arsonists are more likely to use garbage papers for fire setting in the scene of the crime, to have mental or psychological problems, and to get involved in fire setting for the psychological pleasure than simple arsonists do. The present research has some obvious limitations. First, the analysis is based only on arsonists arrested by police officers. These may be considerable differences in arsonists arrested by police officers and fire setters not arrested by them. Additional research is needed to assess the extent to which these findings would apply to fire setters not arrested by police officer in Korea. Secondly, the data in this study are cross-sectional and simple cross-tab analysis are used. Potential limitation of cross-sectional data concerns the inability to specify the changes in measures as arsonists behavioral characteristics. Therefore, further studies need to use longitudinal data and more complicate statistical techniques such as correlation analysis, multiple regression analysis, or LISREL models to specify the casual relationships between dependent and independent variables for fire settings. Even if this study has some limitations, it is meaningful in which it first investigated the comparison of simple and serial arsonists focusing on the general and behavioral characteristics between two groups in Korea.
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