• Title/Summary/Keyword: 위험도분석

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Difference of Somatic Symptoms between Anxiety Disorder and Major Depressive Disorder and Their Domainal Association with Suicidal Idealization, Plan and Attempts (불안 장애와 주요우울장애에서 나타나는 신체 증상과 증상군에 따른 자살 사고, 계획, 행동과의 관계 고찰)

  • Ahn, Jun Seok;Kim, Eun young;Cho, Maeng Je;Hong, Jin Pyo;Hahm, Bong-Jin;Chung, In-Won;Ahn, Joon-Ho;Jeon, Hong Jin;Seong, Su Jeong;Lee, Dong-Woo
    • Korean Journal of Psychosomatic Medicine
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    • v.24 no.2
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    • pp.174-183
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    • 2016
  • Objectives : The aim of this study is to evaluate difference of somatic symptoms of anxiety disorder and major depressive disorder and domainal association with suicidal idealization, plan, and attempts. Methods : A total of 359 adults diagnosed with major depressive disorder and anxiety disorder of last one year participated. Participants interviewed with certain sections of Korean version of Composite International Diagnostic interview of CIDI. Sections of interests includes questionnaires regarding somatic symptoms and suicidal idea, plan and attempts of last one year. Results : Chest pain shows more prevalence in major depressive disorder. Symptoms of Headache and loose stool are more prevalent in anxiety disorder. Difficulty in equilibrium and fainting spells are more common somatic complaints of co-diagnosis states of anxiety disorder and major depressive disorder. Comparing 3 domains of pain symptoms, gastrointestinal symptoms and pseudo-neurological symptoms, pain symptom domains, gastrointestinal symptoms domain shows significant statistic difference between diagnosis. Average somatic symptom numbers of each symptom domains increase through suicidal idealization, plan and attempt, accordingly. Conclusions : Our finding shows some of somatic symptoms are more prevalent at certain diagnosis. Since increasing numbers of somatic complaints of each symptom domains goes with the suicidal idealization to suicidal attempts, proper psychiatric evaluation and consultations are crucial for patients with numerous somatic complaints in non-psychiatric clinical settings.

The Quantitative Evaluation of Cardiac Calcification Using 18F-Sodium fluoride PET/CT (18F-Sodium fluoride PET 이용한 심장 석회화 정량평가에 대한 고찰)

  • Choi, Yong Hoon;Lee, Seung Jae;Kang, Chun Goo;Lim, Han Sang;Kim, Jae Sam
    • The Korean Journal of Nuclear Medicine Technology
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    • v.23 no.2
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    • pp.38-42
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    • 2019
  • Purpose Although computed tomography (CT) is used for coronary artery calcification, it is difficult to differentiate between high risk microcalcifications. Studies have shown that $^{18}F$-sodium fluoride ($^{18}F-NaF$) is very useful for the diagnosis of microcalcifications. In this study, we aimed to evaluate the usefulness of $^{18}F-NaF$ PET imaging in quantitative evaluation of calcification. Materials and Methods A total of 45 patients ($67.1{\pm}6.9years\;old$) were injected with 250 MBq of $^{18}F-NaF$ for 1 hour and images were acquired for 30 minutes. All patients underwent CT angiography (CTAngiography, CTA) before the PET scan. The SUVmax of calcification was measured and the background radioactivity of the left atrium was measured to determine Target to Background (TBR) and quantitatively analyzed. High risk group was classified through ROC curve (Receiver Operating Characteristic Curve). Results There were 226 coronary artery calcifications in the cohort and SUVmax was $1.15{\pm}0.39$. Of the 28 patients (62%), 58 were classified as high risk (TBR > 1.25). The remaining 168 were $TBR{\leq}1.25$. Conclusion $^{18}F-NaF$ PET images were available for quantitative assessment of microcalcifications and could be classified into high-risk groups. The combination of angiographic CT and $^{18}F-NaF$ PET may be a new method for early diagnosis of high-risk microcalcifications.

Distributional Characteristics and Population Substantiality of Viola mirabilis L.; Rear edge Population in Korea (한국이 후방가장자리 개체군인 넓은잎제비꽃(Viola mirabilis L.)의 분포특성과 지속가능성)

  • Chae, Hyun-Hee;Kim, Young-Chul;An, Won-Gyeong;Kwak, Myoung-Hai;Nam, Gi-Heum;Lee, Kyu-Song
    • Korean Journal of Environment and Ecology
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    • v.33 no.4
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    • pp.422-439
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    • 2019
  • The rear edge population is considered to have low genetic diversity and high risk of extinction according to a highly isolated distribution. However, the rear edge population is observed to have persisted for an extended period despite the low genetic diversity. As such, it is necessary to understand the ecological process involved in the persistence of the population. Viola mirabilis L. in Korea is considered the rear edge population from the perspective of the worldwide distribution. We surveyed the distribution range of V. mirabilis, which shows the isolated distribution in the central area of Korea, to find out the factors of its persistence. Next, we investigated and accessed the vegetational pattern of habitats, soil environment, phenology, self-compatibility, population structure, and extinction risk factors observed in the distribution area. V. mirabilis was distributed in the understory of the deciduous forest, planted forest of the deciduous conifer and deciduous broad-leaved trees, shrubland, and grassland in the limestone area. We also observed the re-establishment of seedlings in the population, and most of them showed a stable population structure. For chasmogamous flowers, the visit by pollinators has a significantly positive relationship with the production of fruits. However, we found that the production of the cleistogamous flowers was more numerous in all studied populations and that only the cleistogamous flowers were produced despite a more substantial plant size in some populations. The plant size was more related to the production of the cleistogamous flowers than that of the chasmogamous flowers. Accordingly, the cleistogamous flowers significantly contributed to seedling recruitment in the population. We found that the production of the chasmogamous flowers and the cleistogamous flowers did not have a correlation with the factors of the soil analysis except for phosphoric acid. V. mirabilis showed the self-incompatibility characteristics most likely due to the production capability of the cleistogamous flowers. Potential extinction risk factors observed in the distribution area was included the development of limestone mine, the expansion of agricultural fields, and the construction of houses. Although V. mirabilis showed an isolated distribution in the limestone area in the Korean peninsula, it showed a diverse distribution in a wide habitat environment ranging from the grassland to the understory of the trees with relatively low canopy closure rate. Moreover, we concluded that the persistence of the population was possible if we can maintain the current state of multiple populations and stable population structure.

Anti-obesity effect of radish leaf extracts on high fat diet-induced obesity in mice (고지방식이를 통해 비만이 유발된 마우스에서 무청 추출물의 항비만 효과)

  • Lee, Yun-Seong;Seo, Young Ho;Kim, Ji Yong
    • Korean Journal of Food Science and Technology
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    • v.54 no.3
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    • pp.297-305
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    • 2022
  • The goal of this study was to evaluate the anti-obesity effect of radish leaf extracts (MU-C) and radish leaf extracts with 3% citric acid (MU-CA) in a high-fat diet (HFD)-induced C57BL/6 mice. The effects of radish leaf extracts on adipogenesis were also investigated using 3T3-L1 adipocytes. As determined by Oil red O staining, MU-C inhibited adipogenesis in 3T3-L1 adipocytes. Four-week-old male C57BL/6 mice were fed an HFD for 6 weeks and then treated with radish leaf extracts (500 mg/kg, p.o.) for 6 weeks. Then, the serum levels of Aspartate aminotransferase, Alanine aminotransferase, Total cholesterol, Triglyceride and low-density lipoprotein cholesterol in the mice were measured using an automatic chemical analyzer and enzyme-linked immunosorbent assay. Administration of MU-C significantly reduced the fat weight when compared with HFD controls. As confirmed by histopathologic analysis, adipose tissue size markedly decreased in mice treated with MU-C. Therefore, this study could provide a basis for investigating the clinical use of MU-C as an agent for preventing obesity.

The Development and Application of the Officetel Price Index in Seoul Based on Transaction Data (실거래가를 이용한 서울시 오피스텔 가격지수 산정에 관한 연구)

  • Ryu, Kang Min;Song, Ki Wook
    • Land and Housing Review
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    • v.12 no.2
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    • pp.33-45
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    • 2021
  • Due to recent changes in government policy, officetels have received attention as alternative assets, along with the uplift of office and apartment prices in Seoul. However, the current officetel price indexes use small-size samples and, thus, there is a critique on their accuracy. They rely on valuation prices which lag the market trend and do not properly reflect the volatile nature of the property market, resulting in 'smoothing'. Therefore, the purpose of this paper is to create the officetel price index using transaction data. The data, provided by the Ministry of Land, Infrastructure and Transport from 2005 to 2020, includes sales prices and rental prices - Jeonsei and monthly rent (and their combinations). This study employed a repeat sales model for sales, jeonsei, and monthly rent indexes. It also contributes to improving conversion rates (between deposit and monthly rent) as a supplementary indicator. The main findings are as follows. First, the officetel price index and jeonsei index reached 132.5P and 163.9P, respectively, in Q4 2020 (1Q 2011=100.0P). However, the rent index was approximately below 100.0. Sales prices and jeonsei continued to rise due to high demand while monthly rent was largely unchanged due to vacancy risk. Second, the increase in the officetel sales price was lower than other housing types such as apartments and villas. Third, the employed approach has seen a potential to produce more reliable officetel price indexes reflecting high volatility compared to those indexes produced by other institutions, contributing to resolving 'smoothing'. As seen in the application in Seoul, this approach can enhance accuracy and, therefore, better assist market players to understand the market trend, which is much valuable under great uncertainties such as COVID-19 environments.

The Effect of Perceived Loss of Financial·Market·Social Capital Based on Recurrence Intention of Failed Small Business : Focusing on the Mediating Effect of Fear of Failure and the Moderating of Entrepreneurial Self-Efficacy (폐업 소상공인의 재무적자본·시장경쟁력·사회적자본 손실지각이 재기의도에 미치는 영향 : 실패두려움의 매개효과와 창업자기효능감의 조절효과를 중심으로)

  • Cho, Young-Ryong;Park, Ju-Young
    • Korean small business review
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    • v.43 no.4
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    • pp.59-93
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    • 2021
  • This study surveyed 413 small business owners who experienced closure to see how the loss perception experienced by small business owners affects their comeback through fear of failure. The analysis results are as follows. First, the larger the received loss of financial capital, market capital, and social capital, the greater the fear of failure. Second, the greater the fear of failure, the less willingness to re-start-up, but it did not affect the willingness to work. Third, perceived loss of financial capital, market capital, and social capital grew fear of failure, which negatively affected the willingness to re-start. However, as for the willingness to work, only the perception of loss to market competitiveness strengthened the willingness to work through fear of failure. This suggests that if you think you are out of business due to market competitiveness, you are more likely to choose to get a job than to start a business. Fourth, those with higher entrepreneurial self-efficiency had less effect of perceived loss on fair of failure than those with lower entrepreneurial loss. In other words, it can be seen that a person with high entrepreneurial self-efficiency is likely to start-up. It is noteworthy that despite the tendency to fail due to market competition and lack of understanding of risks, small business operators were most aware of the loss of social capital. This is presumed to have had the greatest impact on fear of failure because small business owners try to receive funding or business revitalization support through social networks such as acquaintances and relatives. Based on the above results, this study requires sufficient market research to secure a competitive advantage when preparing for start-ups through policy practice suggestions, and suggests ways to reduce financial loss through the establishment of sophisticated business plans.

Development of tracer concentration analysis method using drone-based spatio-temporal hyperspectral image and RGB image (드론기반 시공간 초분광영상 및 RGB영상을 활용한 추적자 농도분석 기법 개발)

  • Gwon, Yeonghwa;Kim, Dongsu;You, Hojun;Han, Eunjin;Kwon, Siyoon;Kim, Youngdo
    • Journal of Korea Water Resources Association
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    • v.55 no.8
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    • pp.623-634
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    • 2022
  • Due to river maintenance projects such as the creation of hydrophilic areas around rivers and the Four Rivers Project, the flow characteristics of rivers are continuously changing, and the risk of water quality accidents due to the inflow of various pollutants is increasing. In the event of a water quality accident, it is necessary to minimize the effect on the downstream side by predicting the concentration and arrival time of pollutants in consideration of the flow characteristics of the river. In order to track the behavior of these pollutants, it is necessary to calculate the diffusion coefficient and dispersion coefficient for each section of the river. Among them, the dispersion coefficient is used to analyze the diffusion range of soluble pollutants. Existing experimental research cases for tracking the behavior of pollutants require a lot of manpower and cost, and it is difficult to obtain spatially high-resolution data due to limited equipment operation. Recently, research on tracking contaminants using RGB drones has been conducted, but RGB images also have a limitation in that spectral information is limitedly collected. In this study, to supplement the limitations of existing studies, a hyperspectral sensor was mounted on a remote sensing platform using a drone to collect temporally and spatially higher-resolution data than conventional contact measurement. Using the collected spatio-temporal hyperspectral images, the tracer concentration was calculated and the transverse dispersion coefficient was derived. It is expected that by overcoming the limitations of the drone platform through future research and upgrading the dispersion coefficient calculation technology, it will be possible to detect various pollutants leaking into the water system, and to detect changes in various water quality items and river factors.

Effectiveness of Leading Light by Reflecting the Characteristics of Marine Traffic at Gamcheon Port (감천항 선박교통 특성을 반영한 도등 효용성 분석)

  • Shin-Young Ha;Seung-gi Gug
    • Journal of Navigation and Port Research
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    • v.48 no.3
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    • pp.232-238
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    • 2024
  • This study examines the effectiveness of Gamcheon Port's leading lights in reflecting the characteristics of ship traffic entering the port. The leading light of Gamcheon Port was proposed and installed in 1996 during the basic design process of supplementing the port's route signs for the entry and exit of 4,000 TEU container ships. Since then, it has been improved to accommodate the entry of 50,000 DWT general cargo ships and to reflect the crane height of Hanjin Pier, as a result of a review study conducted by the Busan Regional Maritime Affairs and Fisheries Administration to improve the still temperature of Gamcheon Port by relocating existing outer facilities. However, an analysis of the current characteristics of maritime traffic at Gamcheon Port reveals that maritime traffic congestion is smooth and the proportion of small and medium-sized ships under 10,000 tons is higher than that of large ships, resulting in decreased efficiency of the leading lights to respond to the entry of large ships. Nevertheless, considering the increasing CAGR of the entry ratio of ships of 30,000 tons or more by 8.45%, preparations for the anticipated increase in the proportion of large ships entering the port in the future are necessary, and it is preferable to maintain the function of the leading lights rather than demolishing the entrance to Gamcheon Port. The narrow nature of the Gamcheon Port route poses a higher risk of collision when ships entering and exiting encounter each other, which can burden the navigator. Therefore, instead of maintaining the function of the leading lights, it is possible to relocate the conduction light to reduce maintenance burden and install a direction light in its place. When installing the direction light, it is worth considering using Double Sector Lights instead of the currently installed Single Sector Lights at nearby Busan Bukhang Port, as the former can improve user satisfaction by providing a clearer middle line and reducing difficulties in distinguishing between points.

Optimum Radiotherapy Schedule for Uterine Cervical Cancer based-on the Detailed Information of Dose Fractionation and Radiotherapy Technique (처방선량 및 치료기법별 치료성적 분석 결과에 기반한 자궁경부암 환자의 최적 방사선치료 스케줄)

  • Cho, Jae-Ho;Kim, Hyun-Chang;Suh, Chang-Ok;Lee, Chang-Geol;Keum, Ki-Chang;Cho, Nam-Hoon;Lee, Ik-Jae;Shim, Su-Jung;Suh, Yang-Kwon;Seong, Jinsil;Kim, Gwi-Eon
    • Radiation Oncology Journal
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    • v.23 no.3
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    • pp.143-156
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    • 2005
  • Background: The best dose-fractionation regimen of the definitive radiotherapy for cervix cancer remains to be clearly determined. It seems to be partially attributed to the complexity of the affecting factors and the lack of detailed information on external and intra-cavitary fractionation. To find optimal practice guidelines, our experiences of the combination of external beam radiotherapy (EBRT) and high-dose-rate intracavitary brachytherapy (HDR-ICBT) were reviewed with detailed information of the various treatment parameters obtained from a large cohort of women treated homogeneously at a single institute. Materials and Methods: The subjects were 743 cervical cancer patients (Stage IB 198, IIA 77, IIB 364, IIIA 7, IIIB 89 and IVA 8) treated by radiotherapy alone, between 1990 and 1996. A total external beam radiotherapy (EBRT) dose of $23.4\~59.4$ Gy (Median 45.0) was delivered to the whole pelvis. High-dose-rate intracavitary brachytherapy (HDR-IBT) was also peformed using various fractionation schemes. A Midline block (MLB) was initiated after the delivery of $14.4\~43.2$ Gy (Median 36.0) of EBRT in 495 patients, while In the other 248 patients EBRT could not be used due to slow tumor regression or the huge initial bulk of tumor. The point A, actual bladder & rectal doses were individually assessed in all patients. The biologically effective dose (BED) to the tumor ($\alpha/\beta$=10) and late-responding tissues ($\alpha/\beta$=3) for both EBRT and HDR-ICBT were calculated. The total BED values to point A, the actual bladder and rectal reference points were the summation of the EBRT and HDR-ICBT. In addition to all the details on dose-fractionation, the other factors (i.e. the overall treatment time, physicians preference) that can affect the schedule of the definitive radiotherapy were also thoroughly analyzed. The association between MD-BED $Gy_3$ and the risk of complication was assessed using serial multiple logistic regression models. The associations between R-BED $Gy_3$ and rectal complications and between V-BED $Gy_3$ and bladder complications were assessed using multiple logistic regression models after adjustment for age, stage, tumor size and treatment duration. Serial Coxs proportional hazard regression models were used to estimate the relative risks of recurrence due to MD-BED $Gy_{10}$, and the treatment duration. Results: The overall complication rate for RTOG Grades $1\~4$ toxicities was $33.1\%$. The 5-year actuarial pelvic control rate for ail 743 patients was $83\%$. The midline cumulative BED dose, which is the sum of external midline BED and HDR-ICBT point A BED, ranged from 62.0 to 121.9 $Gy_{10}$ (median 93.0) for tumors and from 93.6 to 187.3 $Gy_3$ (median 137.6) for late responding tissues. The median cumulative values of actual rectal (R-BED $Gy_3$) and bladder Point BED (V-BED $Gy_3$) were 118.7 $Gy_3$ (range $48.8\~265.2$) and 126.1 $Gy_3$ (range: $54.9\~267.5$), respectively. MD-BED $Gy_3$ showed a good correlation with rectal (p=0.003), but not with bladder complications (p=0.095). R-BED $Gy_3$ had a very strong association (p=<0.0001), and was more predictive of rectal complications than A-BED $Gy_3$. B-BED $Gy_3$ also showed significance in the prediction of bladder complications in a trend test (p=0.0298). No statistically significant dose-response relationship for pelvic control was observed. The Sandwich and Continuous techniques, which differ according to when the ICR was inserted during the EBRT and due to the physicians preference, showed no differences in the local control and complication rates; there were also no differences in the 3 vs. 5 Gy fraction size of HDR-ICBT. Conclusion: The main reasons optimal dose-fractionation guidelines are not easily established is due to the absence of a dose-response relationship for tumor control as a result of the high-dose gradient of HDR-ICBT, individual differences In tumor responses to radiation therapy and the complexity of affecting factors. Therefore, in our opinion, there is a necessity for individualized tailored therapy, along with general guidelines, in the definitive radiation treatment for cervix cancer. This study also demonstrated the strong predictive value of actual rectal and bladder reference dosing therefore, vaginal gauze packing might be very Important. To maintain the BED dose to less than the threshold resulting in complication, early midline shielding, the HDR-ICBT total dose and fractional dose reduction should be considered.

Self-optimizing feature selection algorithm for enhancing campaign effectiveness (캠페인 효과 제고를 위한 자기 최적화 변수 선택 알고리즘)

  • Seo, Jeoung-soo;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.173-198
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    • 2020
  • For a long time, many studies have been conducted on predicting the success of campaigns for customers in academia, and prediction models applying various techniques are still being studied. Recently, as campaign channels have been expanded in various ways due to the rapid revitalization of online, various types of campaigns are being carried out by companies at a level that cannot be compared to the past. However, customers tend to perceive it as spam as the fatigue of campaigns due to duplicate exposure increases. Also, from a corporate standpoint, there is a problem that the effectiveness of the campaign itself is decreasing, such as increasing the cost of investing in the campaign, which leads to the low actual campaign success rate. Accordingly, various studies are ongoing to improve the effectiveness of the campaign in practice. This campaign system has the ultimate purpose to increase the success rate of various campaigns by collecting and analyzing various data related to customers and using them for campaigns. In particular, recent attempts to make various predictions related to the response of campaigns using machine learning have been made. It is very important to select appropriate features due to the various features of campaign data. If all of the input data are used in the process of classifying a large amount of data, it takes a lot of learning time as the classification class expands, so the minimum input data set must be extracted and used from the entire data. In addition, when a trained model is generated by using too many features, prediction accuracy may be degraded due to overfitting or correlation between features. Therefore, in order to improve accuracy, a feature selection technique that removes features close to noise should be applied, and feature selection is a necessary process in order to analyze a high-dimensional data set. Among the greedy algorithms, SFS (Sequential Forward Selection), SBS (Sequential Backward Selection), SFFS (Sequential Floating Forward Selection), etc. are widely used as traditional feature selection techniques. It is also true that if there are many risks and many features, there is a limitation in that the performance for classification prediction is poor and it takes a lot of learning time. Therefore, in this study, we propose an improved feature selection algorithm to enhance the effectiveness of the existing campaign. The purpose of this study is to improve the existing SFFS sequential method in the process of searching for feature subsets that are the basis for improving machine learning model performance using statistical characteristics of the data to be processed in the campaign system. Through this, features that have a lot of influence on performance are first derived, features that have a negative effect are removed, and then the sequential method is applied to increase the efficiency for search performance and to apply an improved algorithm to enable generalized prediction. Through this, it was confirmed that the proposed model showed better search and prediction performance than the traditional greed algorithm. Compared with the original data set, greed algorithm, genetic algorithm (GA), and recursive feature elimination (RFE), the campaign success prediction was higher. In addition, when performing campaign success prediction, the improved feature selection algorithm was found to be helpful in analyzing and interpreting the prediction results by providing the importance of the derived features. This is important features such as age, customer rating, and sales, which were previously known statistically. Unlike the previous campaign planners, features such as the combined product name, average 3-month data consumption rate, and the last 3-month wireless data usage were unexpectedly selected as important features for the campaign response, which they rarely used to select campaign targets. It was confirmed that base attributes can also be very important features depending on the type of campaign. Through this, it is possible to analyze and understand the important characteristics of each campaign type.