The purpose of this study was to investigate breast cancer its menopause in South Korean adult women using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 3,414 people in total. The Data were analyzed by frequency, ${\chi}^2$ test and multiple logistic regression analysis using SPSS complex samples Win 25 program. According to the age of the subjects, breast cancer was 1.7% higher in women aged 50~59 years than aged 40~49 years, and 1.7% was significantly more frequent in women who had no drinking frequency than in almost everyday. Menopausal age was significantly higher in women under 44 years of age with breast cancer than in those over 50 years of age. According to menopause, postmenopausal breast cancer was 1.7% more than before menopause. When adjusted for age and alcohol drinking frequency, premenopausal adult women in Korea had significantly lower breast cancer frequency by 0.03 compared with postmenopausal women. Based on these results, it is important to pay attention to the management of breast cancer in young women aged 44 years or younger and multidisciplinary efforts are needed to reduce the ever-increasing prevalence of breast cancer.
Kwak, Moon Hwan;Kang, Hyun Young;Lee, Si Jin;Han, Kap Su;Kim, Su Jin;Lee, Eu Jung;Lee, Sung Woo
Journal of The Korean Society of Clinical Toxicology
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v.16
no.2
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pp.93-101
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2018
Purpose: The Korean government has tried to decrease the suicide death rate over the last decade. Suicide attempts, particularly non-fatal attempts, are the most powerful known risk factor for a completed suicide. An analysis of suicide attempt methods will help establish the effective preventive action of suicide. Fit prevention according to the method of suicide attempt may decrease the incidence of suicide death. Self-poisoning is suggested as a major method of both suicide attempts and suicide death. The aim of this study was to determine if a self-poisoning patient is a suitable target for the prevention of the suicide. Methods: This was retrospective analysis of a prospective cohort, which included patients who presented to the emergency department (ED) after a self-harm or suicide attempt from Jan 2013 to Dec 2017. The proportion of methods in suicide attempts, psychological consultation, and fatality according to the suicide attempt method were analyzed. The types of poison were also analyzed. Results: Poisoning was the most common method of suicide attempts (52.1%). The rate of psychological consultations were 18.8% for all patients and 29.1% for poison patients (p<0.001). The rate of mortality in poisoning was 0.6%. Psychological consultation was performed more frequently in admission cases than discharged cases. The most common materials of poisons was psychological medicines and sedatives that had been prescribed at clinics or hospital. Conclusion: Self-poisoning is a major method of suicide attempt with a high rate of psychiatric consultation, low mortality rate, versus others methods. The prevention of suicide death for suicide attempts may focus on self-poisoning, which is the major method of suicide attempts. A suitable aftercare program for self-poisoning may be an effective method for preventing suicide if an early diagnosis and management of psychiatric disorders through psychiatric consultation can be made, and early connection to social prevention program for non-fatal patients are possible.
Jeong, Insoo;Kim, Jinwoo;Chi, Seokho;Roh, Myungil;Biggs, Herbert
KSCE Journal of Civil and Environmental Engineering Research
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v.41
no.4
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pp.441-447
/
2021
Construction sites are complex and dangerous because heavy equipment and workers perform various operations simultaneously within limited working areas. Solitary works of heavy equipment in complex job sites can cause fatal accidents, and thus they should interact with spotters and obtain information about surrounding environments during operations. Recently, many computer vision technologies have been developed to automatically monitor construction equipment and detect their interactions with other resources. However, previous methods did not take into account the interactions between equipment and spotters, which is crucial for identifying solitary works of heavy equipment. To address the drawback, this research develops a computer vision-based solitary work detection model that considers interactive operations between heavy equipment and spotters. To validate the proposed model, the research team performed experiments using image data collected from actual construction sites. The results showed that the model was able to detect workers and equipment with 83.4 % accuracy, classify workers and spotters with 84.2 % accuracy, and analyze the equipment-to-spotter interactions with 95.1 % accuracy. The findings of this study can be used to automate manual operation monitoring of heavy equipment and reduce the time and costs required for on-site safety management.
As smartphone-based tourism platforms have become active, policy establishment and service enhancement using review data are being made in various fields. In the case of the preceding studies using tourism review data, most of the studies centered on domestic tourists were conducted, and in the case of foreign tourist studies, studies were conducted only on data collected in some languages and text mining techniques. In this study, 3,515 review data written by foreigners were collected by designating the "Daegu attractions" keyword through the online review site. And LDA-based topic modeling was performed to derive tourism topics. The spatial approach through global and local spatial autocorrelation analysis for each topic can be said to be different from previous studies. As a result of the analysis, it was confirmed that there is a global spatial autocorrelation, and that tourist destinations mainly visited by foreigners are concentrated locally. In addition, hot spots have been drawn around Jung-gu in most of the topics. Based on the analysis results, it is expected to be used as a basic research for spatial analysis based on local government foreign tourism policy establishment and topic modeling. And The limitations of this study were also presented.
This study examines the effects of job stress on fire-fighters' job performance on negative job factors, job burnout, and positive job factors, job satisfaction, respectively, and by examining whether resilience has a modulating effect in these influence relationships. This was done to provide useful information for planning management strategies. The analysis was done by regression analysis of data collected through a structured survey of 239 fire-fighters, and the moderating effect was confirmed by calculating and applying the interaction term. For the analysis, a structured questionnaire survey was conducted on 239 fire-fighters. As a result of the analysis, it was confirmed that job stress and job burnout of fire-fighters were low, job satisfaction was normal, and resilience was above average. Also, there was no significant difference in resilience according to demographic characteristics, and it was found that job stress had a positive(+) influence on job burnout at a statistically meaningful level, and a negative(-) influence on job satisfaction. In addition, it was found that impulse control power and cause analysis power had a moderating effect in the influence relationship between job stress and job burnout, and impulse control power had a moderating effect in the influence relationship between job stress and job satisfaction. Based on these results, it was proposed to preemptively apply various resilience programs suitable for the situation of fire-fighters, enhance emotional competence, and introduce coaching personnel to help self-reflection.
In this study, the status of damage by subterranean termites and their management according to the region and type of domestic wooden cultural properties were identified. This was based on the survey reports of agencies conducting regular nationwide and regional monitoring of subterranean termites. In addition, using geographical information system (GIS) based on the survey contents, a map was constructed of termite infestation and its progress on 2,805 wooden cultural properties that were surveyed nationwide. Based on the map produced, a total of 486 cases of termite infestation were confirmed in wooden cultural properties during 2018-2019, of which 143 cases (approximately 29.4%) were confirmed to be owing to the invasion of termites in the ground and infestation of wood materials. A web platform and an application using a mapping application program interface were created to increase accessibility to the investigated damage status data. The methods employed by each institution for investigating and monitoring the invasion of termites in the ground included the use of detection dogs, visual observation, installation of wood specimens made of pine, and microwave equipment. However, it was confirmed that monitoring and survey methods were not applied to determine the territorial range of the subterranean termite colonies. Accordingly, the use of dyeing and mark-release-recapture methods were deemed necessary to understand the current status, such as calculating the scope of the target wooden cultural property, when monitoring subterranean termite colonies.
The Chironomidae is a benthic macroinvertebrate commonly found in freshwater ecosystems, along with Ephemeroptera and Trichoptera, which can be used for environmental health assessments. There are approximately 15,000 species of Chironomidae worldwide, but there are limited studies on species identification of domestic Chironomidae larvae. In the present study, we carried out species classification of the Chironomidae larvae that found in Jeju's tap water purification plants using morphological characteristics and genetic identification based on cytochrome c oxidase subunit I (COI) gene of the mitochondrial DNA. Body shape, mentum, antenna, mandible in the head capsule, and claws were observed in the larvae for morphological classification. Analysis of 17 larvae collected from faucets and fire hydrants of domestic tap water purification plants revealed the presence of two species, including 14 Orthocladius tamarutilus and 3 Paratrichocladius tammaater. These results will aid the use of the criteria information about species classification of the Chironomidae for water quality management in water purification plants and diversity monitoring of freshwater environments.
Kim, Seoung-Yeal;Kim, Whee-Moon;Song, Won-Kyong;Choi, Young-Eun;Choi, Jae-Yong;Moon, Guen-Soo
Journal of the Korean Society of Environmental Restoration Technology
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v.22
no.5
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pp.1-12
/
2019
It is important to measure the height of trees as an essential element for assessing the forest health in urban areas. Therefore, an automated method that can measure the height of individual tree as a three-dimensional forest information is needed in an extensive and dense forest. Since airborne LiDAR dataset is easy to analyze the tree height(z-coordinate) of forests, studies on individual tree height measurement could be performed as an assessment forest health. Especially in urban forests, that adversely affected by habitat fragmentation and isolation. So this study was analyzed to measure the height of individual trees for assessing the urban forests health, Furthermore to identify environmental factors that affect forest growth. The survey was conducted in the Mt. Bongseo located in Seobuk-gu. Cheonan-si(Middle Chungcheong Province). We segment the individual trees on coniferous by automatic method using the airborne LiDAR dataset of the two periods (year of 2016 and 2017) and to find out individual tree growth. Segmentation of individual trees was performed by using the watershed algorithm and the local maximum, and the tree growth was determined by the difference of the tree height according to the two periods. After we clarify the relationship between the environmental factors affecting the tree growth. The tree growth of Mt. Bongseo was about 20cm for a year, and it was analyzed to be lower than 23.9cm/year of the growth of the dominant species, Pinus rigida. This may have an adverse effect on the growth of isolated urban forests. It also determined different trees growth according to age, diameter and density class in the stock map, effective soil depth and drainage grade in the soil map. There was a statistically significant positive correlation between the distance to the road and the solar radiation as an environmental factor affecting the tree growth. Since there is less correlation, it is necessary to determine other influencing factors affecting tree growth in urban forests besides anthropogenic influences. This study is the first data for the analysis of segmentation and the growth of the individual tree, and it can be used as a scientific data of the urban forest health assessment and management.
Screen Golf provides a more realistic interface to users by implementing sophisticated sensors and 3D graphics so that they can play golf in an environment almost identical to the actual golf course, to provide a sense of reality that goes beyond simply enjoying golf indoors. In addition, users who experienced this interface environment showed a tendency to feel the fun of golf more and become more immersed in golf. Therefore, it is most important to provide an effective realistic interface in screen golf. In this study, the meaning of screen golf as a tangible sport and various interface elements embodied in screen golf were summarized. Also the factors that enable users to feel reality and fun of actual golf to make users more immersed in screen golf were identified. For this, interface elements based on sensory elements were arranged in terms of visual, auditory, and tactile sense, and improvement plans and directions for providing effective sensory interfaces for screen golf were suggested through user FGI, targeting regular customers of Golfzone and KakaoVX screen golf, and in-depth interviews with experts. As a result of the analysis, it was confirmed that the course information including the yardage and the play situation-directed graphic are elements that make immersion in the visual aspect. In terms of tactile aspect, the fact that users actually use golf equipment, as well as the sense of existence of a physical interface that embodies various course environments and course setting appeared to be an important factor. In particular, in the auditory aspect, it was confirmed that providing customized services for each user through AI caddy implemented to resemble a actual caddy is the most effective way to immerse users in screen golf with greater fun and realism.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.20
no.6
/
pp.77-83
/
2020
The heat treatment facility is in a situation where the scope of application of the remote IOT system is expanding due to the harsh environment caused by high heat and long working hours among the root industries. In this heat treatment process environment, the IOT middleware is required to play a pivotal role in interpreting, managing and controlling data information of IoT devices (sensors, etc.). Until now, the system controlled by the heat treatment remotely was operated with the command of the operator's batch system without overall monitoring of the site situation. However, for the safety and precise control of the heat treatment facility, it is necessary to control various sensors and recognize the surrounding work environment. As a solution to this, the heat treatment safety support system presented in this paper proposes a support system that can detect the access of the work manpower to the heat treatment furnace through thermal image detection and operate safely when ordering work from a remote location. In addition, an OPEN CV-based deterioration analysis system using DNN deep learning network was constructed for faster and more accurate recognition than general fixed hot spot monitoring-based thermal image analysis. Through this, we would like to propose a system that can be used universally in the heat treatment environment and support the safety management specialized in the heat treatment industry.
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