• Title/Summary/Keyword: effective variables

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A Integrated Model of Land/Transportation System

  • 이상용
    • Proceedings of the KOR-KST Conference
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    • 1995.12a
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    • pp.45-73
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    • 1995
  • The current paper presents a system dynamics model which can generate the land use anq transportation system performance simultaneously is proposed. The model system consists of 7 submodels (population, migration of population, household, job growth-employment-land availability, housing development, travel demand, and traffic congestion level), and each of them is designed based on the causality functions and feedback loop structure between a large number of physical, socio-economic, and policy variables. The important advantages of the system dynamics model are as follows. First, the model can address the complex interactions between land use and transportation system performance dynamically. Therefore, it can be an effective tool for evaluating the time-by-time effect of a policy over time horizons. Secondly, the system dynamics model is not relied on the assumption of equilibrium state of urban systems as in conventional models since it determines the state of model components directly through dynamic system simulation. Thirdly, the system dynamics model is very flexible in reflecting new features, such as a policy, a new phenomenon which has not existed in the past, a special event, or a useful concept from other methodology, since it consists of a lots of separated equations. In Chapter I, II, and III, overall approach and structure of the model system are discussed with causal-loop diagrams and major equations. In Chapter V _, the performance of the developed model is applied to the analysis of the impact of highway capacity expansion on land use for the area of Montgomery County, MD. The year-by-year impacts of highway capacity expansion on congestion level and land use are analyzed with some possible scenarios for the highway capacity expansion. This is a first comprehensive attempt to use dynamic system simulation modeling in simultaneous treatment of land use and transportation system interactions. The model structure is not very elaborate mainly due to the problem of the availability of behavioral data, but the model performance results indicate that the proposed approach can be a promising one in dealing comprehensively with complicated urban land use/transportation system.

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Radiation Therapy for Superior Vena Cava Syndrome (상대정맥증후군의 방사선치료)

  • Kim, Jin-Hee
    • Radiation Oncology Journal
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    • v.23 no.2
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    • pp.78-84
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    • 2005
  • Purpose: The studied the effect of such variables as the symptom improvement rate, survival and prognostic factors on the treatment results of radiation therapy for Superior Vena Cava Syndrome (SVCS). Materials and Methods: From 1988 to 2003, seventy two patients with SVCS were treated with radiation therapy at the Department of Radiation Oncology, Keimyung University Dongsan Medical Center. The patients' ages ranged from 10 to 83 years old with the median age being 61, and sixty four patients were male. For the causes of the SVCS, 64 patients had lung cancer, four had metastatic lung cancer, two had malignant lymphoma and two had thymoma. The radiotherapy was delivered with 6-MV X-rays and all patients received above 900 cGy up to 6,600 cGy, with the median dose being 4,000 cGy The follow-up periods were from 1 to 180 months with a median of 5.6 months. Results: The main clinical manifestations were dyspnea ($84.7\%$), facial edema ($81.9\%$), arm edema ($22.2\%$), neck vein distension ($25\%$), hoarseness ($12.5\%$) and facial plethora ($5.6\%$). Eighty percent of patients achieved excellent to good symptom improvement and $19.4\%$ experienced minimal improvement. The median survival period was 5.1 months, and overall survival rates were $17.7\%$ at 2 years (2YOS) and $14.8\%$ at five years (5YOS) for all the patients. The median survival period, the two and five year disease free survival rates were 4.3 months, $16.7\%$ and $13.4\%$ for the lung cancer patients, respectively. The total tumor dose was a statistically significant survival factor on the univariate analysis for the patients with lung cancer (2YSR; > 30 Gy, $25.6\%$, $\leq$ 30 Gy $6.7\%$, p<0.01). On the multivariated analysis, a higher total tumor dose (p<0.01) and younger age (p<0.05) were statistically significant factors of survival for the lung cancer patients. Patients with NSCLC showed better survival than did the patients with SCLC, but this was not statistically significant (p > 0.05), Conclusion: Radiation therapy for the patients with SVCS due to malignancy could be an effective treatment. We considered that radiation therapy above 30 Gy of the total tumor dose may improve survival for SVCS due to lung cancer.

Factors Relating to Quitting in the Small Industries in Incheon (인천지역 일부 소규모 사업장 근로자들의 이직요인(離職要因))

  • Ahn, Yeon-Soon;Roh, Jae-Hoon;Kim, Kyoo-Sang
    • Journal of Preventive Medicine and Public Health
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    • v.28 no.4 s.51
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    • pp.795-807
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    • 1995
  • This study was carried out from 1993 to 1994 in the small industries in Incheon. The objectives of this study was in order to estimate the quitting rate, to identify its relating factors and to propose effective quitting management policy in the small industries. The results were as follows ; 1. The quitting rate of 266 study workers was 42.1%(112 workers). 2. Age, working duration, position, marrital status were significant difference between the quitting group and the non - quitting group. In the quitting group, mean age was young, working duration was short, general employees and unmarried workers were many compared with the non - quitting group. 3. In the industry characteristics, total assets, total assets, sales per person, establishment duration and occupational health and safely status were significant difference between the quitting group and the non - quitting group. In the quitting group, total assets, total sales and sales per person were little, establishment duration of company was short and occupational health and safety status were poor compared with the non - quitting group. 4. In the quitting group, worker's response to employer's disposal about health and safety was more passive and the relation to employer with employee was significantly poor compared with the non - quitting group. 5. Multiple logistic regression analysis of quitting against family income per person, working duration, relation to employer with employee, occupational health and safety status in industry, worker's response to employer's disposal about health and safety and sales per person was done. Working duration, occupational health and safety status, worker's response to employer'1 disposal about health and safety were significant explainatory variables for quitting. Above results showed that the quitting rate was high and it was significant difference between the quitting group and non : quitting group according to characteristics of workers and of industries. Especially, it suggested that working duration, occupational health and safety status and worker's response to employer's disposal about health and safety were significant quitting factor. Therefore, it should be reflected in the quitting management and the policy of steady employment.

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Effects of circulation exercise on health-related physical fitness, blood pressure and blood vessel elasticity of obese women in the 50s (순환운동이 50대 비만중년여성의 건강체력, 혈압 및 혈관탄성도에 미치는 영향)

  • Kim, Yeon-Joo;Kim, Ji-Hyeon;Ha, Soo-Min;Kim, Jung-Sook;Kim, Jong-Won;Yoon, Byeong-Kon;Kim, Do-Yeon
    • Journal of the Korean Applied Science and Technology
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    • v.34 no.4
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    • pp.756-768
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    • 2017
  • The subjects for the study were twenty four obese women(50's) composed of the exercise group(n=12) and to a "no exercise" control group(n=12). The variables of health-related fitness, blood pressure, and blood vessel elasticity where measured in all the subjects before the start of the training program and after at the end of the 8 weeks circuit training. The test data were analyzed by t-test, paired t-test, and alpha level of p<.05 was set for all tests of significance. Health-related fitness was exercise group, the BMI had significantly decreased, and the 20m shuttle run, sit-ups and sit-and-reach had significantly increased. Blood pressure was exercise group, the systolic blood pressure, and diastolic blood pressure had significantly decreased. Also, after the circuit training program, the exercise group had significantly higher diastolic blood pressure than did the control group. blood vessel elasticity was exercise group, the blood vessel elasticity had significantly decreased. And exercise group had significantly higher diastolic blood vessel elasticity than did the control group. In conclusion, BMI, systolic blood pressure, and diastolic blood pressure had significantly decreased, but 20 m shuttle run, sit-ups and sit-and-reach had significantly increased in the combined exercise group after the 8 weeks circuit training. Therefore, regular and continuous circuit training were effective in improving the body composition, blood pressure, blood vessel elasticity and health-related fitness.

Bankruptcy Prediction Modeling Using Qualitative Information Based on Big Data Analytics (빅데이터 기반의 정성 정보를 활용한 부도 예측 모형 구축)

  • Jo, Nam-ok;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.22 no.2
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    • pp.33-56
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    • 2016
  • Many researchers have focused on developing bankruptcy prediction models using modeling techniques, such as statistical methods including multiple discriminant analysis (MDA) and logit analysis or artificial intelligence techniques containing artificial neural networks (ANN), decision trees, and support vector machines (SVM), to secure enhanced performance. Most of the bankruptcy prediction models in academic studies have used financial ratios as main input variables. The bankruptcy of firms is associated with firm's financial states and the external economic situation. However, the inclusion of qualitative information, such as the economic atmosphere, has not been actively discussed despite the fact that exploiting only financial ratios has some drawbacks. Accounting information, such as financial ratios, is based on past data, and it is usually determined one year before bankruptcy. Thus, a time lag exists between the point of closing financial statements and the point of credit evaluation. In addition, financial ratios do not contain environmental factors, such as external economic situations. Therefore, using only financial ratios may be insufficient in constructing a bankruptcy prediction model, because they essentially reflect past corporate internal accounting information while neglecting recent information. Thus, qualitative information must be added to the conventional bankruptcy prediction model to supplement accounting information. Due to the lack of an analytic mechanism for obtaining and processing qualitative information from various information sources, previous studies have only used qualitative information. However, recently, big data analytics, such as text mining techniques, have been drawing much attention in academia and industry, with an increasing amount of unstructured text data available on the web. A few previous studies have sought to adopt big data analytics in business prediction modeling. Nevertheless, the use of qualitative information on the web for business prediction modeling is still deemed to be in the primary stage, restricted to limited applications, such as stock prediction and movie revenue prediction applications. Thus, it is necessary to apply big data analytics techniques, such as text mining, to various business prediction problems, including credit risk evaluation. Analytic methods are required for processing qualitative information represented in unstructured text form due to the complexity of managing and processing unstructured text data. This study proposes a bankruptcy prediction model for Korean small- and medium-sized construction firms using both quantitative information, such as financial ratios, and qualitative information acquired from economic news articles. The performance of the proposed method depends on how well information types are transformed from qualitative into quantitative information that is suitable for incorporating into the bankruptcy prediction model. We employ big data analytics techniques, especially text mining, as a mechanism for processing qualitative information. The sentiment index is provided at the industry level by extracting from a large amount of text data to quantify the external economic atmosphere represented in the media. The proposed method involves keyword-based sentiment analysis using a domain-specific sentiment lexicon to extract sentiment from economic news articles. The generated sentiment lexicon is designed to represent sentiment for the construction business by considering the relationship between the occurring term and the actual situation with respect to the economic condition of the industry rather than the inherent semantics of the term. The experimental results proved that incorporating qualitative information based on big data analytics into the traditional bankruptcy prediction model based on accounting information is effective for enhancing the predictive performance. The sentiment variable extracted from economic news articles had an impact on corporate bankruptcy. In particular, a negative sentiment variable improved the accuracy of corporate bankruptcy prediction because the corporate bankruptcy of construction firms is sensitive to poor economic conditions. The bankruptcy prediction model using qualitative information based on big data analytics contributes to the field, in that it reflects not only relatively recent information but also environmental factors, such as external economic conditions.

Environmental Factors, Types of Bullying Behavior, and Psychological and Behavioral Outcomes for the Bullies (괴롭힘 가해자의 환경적 요인, 괴롭힘 행동유형, 가해자의 심리.행동적 결과에 대한 연구)

  • Lee, Myung-Shin
    • Korean Journal of Social Welfare
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    • v.51
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    • pp.29-61
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    • 2002
  • This study was designed to find out the determinants of types of bullying behavior, and the effects of types of bullying behavior on the bullies. For this purpose, a hypothetical model which explains the relationships among 6 environmental factors, 5 types of bullying behavior, and 5 outcome variables for the bullies was developed. Using the data collected from 177 junior and high school students who have bullied the other students, the hypothetical model was tested. For data analysis, a path analysis was used, and the best-fitting model was found (df=78, GFI=0.953, CFI=1.00). As a result of analyzing the model, types of bullying behavior were found to be determined by the different environmental factors: Isolation was determined by 2 factors (feeling of isolation from friends, exposure to bullying), social bullying by 2 factors (lack of support from parents, exposure to bullying), verbal bullying by conflicts with parents, physical bullying by 3 factors (lack of support from parents, exposure to isolation and exposure to bullying), and instrumental bullying by lack of support from parents. On the other hand, the pleasure that the bullies feel after bullying behavior was increased by isolation, verbal bullying and physical bullying, while decreased by instrumental bullying. Guilt feeling was decreased by isolation and instrumental bullying, while increased by physical bullying. Isolation increased the tendency of blaming the victim. Isolation and instrumental bullying increased bullies' self-esteem, while social bullying decreased self-esteem. Verbal bullying increased the extent of bullying, while instrumental bullying decreased the extent of bullying. Based on the findings, the intervention strategies to change the bullies' attitudes toward victim, and to increase social support from the significant others as well as the effective ways to reorganize the school environment in order to reduce and prevent bullying behavior were suggested.

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Morphometric Analysis of Distances between Sacral Hiatus and Conus Medullaris Using Magnetic Resonance Image in Korean Adult (자기공명영상을 이용한 한국 성인의 엉치뼈틈새와 척수원뿔 사이 거리 연구)

  • Park, Tai Soo;Hwang, Byeong-Wook;Park, Sang-Joon;Baek, Sun-Yong;Yoon, Sik
    • Anatomy & Biological Anthropology
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    • v.29 no.4
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    • pp.145-154
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    • 2016
  • The purpose of this study was to provide basic biometric data on Korean adults through magnetic resonance imaging (MRI)-based measurements of the distances between the apex of sacral hiatus (SH) and the termination of dural sac (DS), and between SH and conus medullaris (CM) because they are critical to the performance of epidural neuroplasty. A total of 200 patients(88 males and 112 females) with back pain, who had no spine fracture, significant spinal deformity, and spondyloisthesis were selected for this study. The subjects were of mean age 54.3 (20~84) years and mean height 161.3 cm (135~187). T2-weighted MRI images were used for correlation analysis to evaluate the relationships between the distances, and variables such as sex and height. In all patients, the mean distance between SH and DS was $62.8{\pm}9.4mm$ and the mean distance between SH and CM was $232.2{\pm}21.8mm$. The minimum distance and the maximum distance between SH and DS were 34.8 mm and 93.9 mm respectively, and the minimum distance and the maximum distance between SH and CM were 155.0 mm and 284.0 mm respectively. In female patients, both the distances between the SH and DS, and between SH and CM were shorter when compared to those of the male patients(p<0.05). Both the distances between SH and DS and between SH and CM showed a significant correlation with height(p<0.01). The results of this study will provide a useful biometric data on the distances between SH and DS and between SH and CM in Korean in ensuring clinical safety and in the development of more effective catheterization techniques for epidural neuroplasty in Korean.

Estimation of Rice Grain Protein Contents Using Ground Optical Remote Sensors (지상광학센서를 이용한 쌀 단백질함량 예측)

  • Kim, Yi-Hyun;Hong, Suk-Young
    • Korean Journal of Remote Sensing
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    • v.24 no.6
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    • pp.551-558
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    • 2008
  • It is well known that the protein content of rice grain is an indicator of taste of cooked rice in the countries where people as the staple food. Ground-based optical sensing over the crop canopy would provide information not only on the mass of plant body which reflects the light, but also on the crop nitrogen content which is closely related to the greenness of plant leaves. The vegetation index has been related to crop variables such as biomass, leaf nitrogen, plant cover, and chlorophyll in cereals. The objective of this study was to investigate the correlation between GNDVI and NDVI values, and grain protein content at different dates and to estimate the grain protein content using G(NDVI) values. We measured Green normalized difference vegetation index [$GNDVI=({\rho}0.80{\mu}m-{\rho}0.55{\mu}m)/({\rho}0.80{\mu}m+{\rho}0.55{\mu}m)$] and [$GNDVI=({\rho}0.80{\mu}m-{\rho}0.68{\mu}m)/({\rho}0.80{\mu}m+{\rho}0.68{\mu}m)$] by using two different active sensors. The study was conducted during the rice growing season for three years from 2005 through 2007 at the experimental plots of National Institute of Agricultural Science and Technology. The experiments were carried out by randomized complete block design with the application of four levels of nitrogen fertilizers(0, 70, 100, 130kg N/ha) and the same amount of phosphorous and potassium content of the fertilizers. After heading stage, relationships between GNDVI of rice canopy and grain protein content showed the highly positive correlation at different dates for three years. GNDVI values showed higher correlation coefficients than that of NDVI during growing season in 2005-07. The correlation between GNDVI values at different dates and grain protein contents was highly correlated at early July. We attempted to estimate the grain protein content at harvesting stage using GNDVI values from early July for three years. The determination coefficients of the linear model by GNDVI values were 0.9l and the measured and estimated grain protein content at harvesting stage using GNDVI values highly correlated($R^2=0.96^{***}$). Results from this study show that GNDVI appeared very effective to estimate leaf nitrogen and grain protein content of rice canopy.

The Effects of Gender and Childbirth on Entrepreneurship: Implications for the Activation of Female Entrepreneurship (성별 및 출산이 기업가정신에 미치는 영향: 여성 기업가정신 활성화 방안에 대한 함의)

  • Choo, Seungyoup;Kong, Hyewon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.5
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    • pp.93-104
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    • 2019
  • The entrepreneurship can be a source of national growth potential as behavioral tendencies of people who seek innovation, take risks of failure, and proactively respond to opportunities. In particular, in the economic situation of Korea where growth has been stagnated, it is necessary to strengthen the entrepreneurship of women which is relatively lower than men's in order to activate the start-up and economic participation of the whole people. In this regard, this study focuses not only on gender differences in entrepreneurship but also on the hidden impact of social contexts that cause gender differences in entrepreneurship. Specifically, this study examined the moderating effects of childbirth, a factor that reflects the social context of Korea in the relationship between gender and entrepreneurship. According to the results of the model that includes the interaction effect of these variables in addition to the independent effects of gender and childbirth, the gender effect disappeared, while the significant effect of both the childbirth variable and the interaction variable of gender and childbirth were confirmed. Furthermore, according to additional analysis, which identified the differences in entrepreneurship by creating four types of treatment groups based on gender and childbirth status, entrepreneurship was significantly lower in the 'female and childbirth' group than in all other groups. The difference between the remaining treatment groups was not statistically significant. These results indicate that differences in entrepreneurship levels between men and women overlap not with the unique trait of men and women, but with the social contextual effects of Korea, where women are under the full burden of childbirth and parenting. This study suggests implications that effective policy measures to promote women's entrepreneurship or economic activity should be taken by taking into account the social context of Korea that suppresses women's entrepreneurial behavior.

A Study on the Effect of SMEs' Organizational Culture and Self-Efficacy on Job Crafting and Job Satisfaction (소기업의 조직문화와 자기효능감이 잡 크래프팅과 직무만족도에 미치는 영향에 관한 연구)

  • Bae, Keun Soo;Heo, Ghul Moo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.5
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    • pp.109-124
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    • 2021
  • This study tried to verify the causal relationship that SMEs' organizational culture and self-efficacy would affect job crafting and job satisfaction. Unlike previous domestic studies that have been studied for organizational culture at the organizational level and self-efficacy at the individual level, this study tried to verify the interaction between job crafting and job satisfaction using different mechanisms as antecedent factors. In order to verify the research model of this study, questionnaires of 144 small and medium-sized enterprises (SMEs) workers located in Seoul and metropolitan areas were analyzed. Factor analysis and correlation analysis were performed to verify the reliability and validity of the research model on the relationship between variables, and empirical analysis was performed using regression analysis and mediation effect analysis to verify the hypothesis. The results of the study were first, that organizational culture and self-efficacy had a positive (+) effect on job crafting. On the other hand, relationship-oriented culture and hierarchical-oriented culture, which are sub-factors of organizational culture, were found to be insignificant. Second, organizational culture and self-efficacy were found to have a positive (+) effect on job satisfaction. On the other hand, it was found that market-oriented culture and hierarchical-oriented culture, which are sub-factors of organizational culture, were not significant. Third, job crafting was found to have a positive (+) effect on job satisfaction. On the other hand, it was found that the sub-factors of job crafting, disruptive job demands and social job resources, were not significant. This means that organizational culture partially affects job crafting and job satisfaction of SMEs, and job crafting also partially affects job satisfaction. The implications of this study are first, suggesting the meaning of SME organizational culture for stable and efficient human resource management for SMEs suffering from low productivity and high turnover rate. Second, it was meaningful to understand the possibility of introducing job crafting as an effective job management plan for SMEs. Third, in the current situation where there are few cases of practical introduction of job crafting, research on understanding job crafting for SMEs and improving job satisfaction is thought to be helpful in improving the productivity of SMEs.