• 제목/요약/키워드: Risk Preference

검색결과 213건 처리시간 0.029초

비만도에 따른 여대생의 건강습관, 체성분 및 신체상 비교 (Comparison of Health Behavior, Body Composition and Body Image in College Women by BMI (Body Mass Index))

  • 정길수;이성은;정영미
    • 보건교육건강증진학회지
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    • 제22권1호
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    • pp.87-102
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    • 2005
  • Purpose: The purpose of this study was to compare the degree of health behavior, body composition and body image in college women by BMI. Method: The subjects consisted of 291 students classifying three groups (underweight, normal weight, overweight). The data were collected by a structured questionnaire and bioelectrical impedence analysis from October, 2003 to April, 2004. The collected data were analyzed by SPSS program including descriptive statistics, x$^2$-test, ANOVA, Scheffe test and Pearson Correlation Coefficient. Result: There were statistically significant differences according to food preference and overeating in dietary behavior, and according to regularity, frequency, necessity, main reason of doing exercise and item in exercise habit of health behavior. And there were statistically significant differences according to body composition and body image among three groups. Body image indicated a significantly negative correlation to BMI, body fat mass and percent body fat mass. Conclusion: It is necessary to develop supportive program for decreasing a risk of bad health and for increasing self-esteem in college students and to perform individual approach according to their physical and psychological health states.

다변량 분석기법을 활용한 중대재해 구조분석에 관한 연구 (A Study on the Structural Analysis for Fatal Industrial Accidents using Multivariate Analysis Methods)

  • 임정은;이홍철;박성준
    • 대한인간공학회지
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    • 제23권4호
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    • pp.23-34
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    • 2004
  • The importance of the industrial safety has been growing gradually as well as the prevention activities on industrial accidents. Industrial accident rates have been decreasing by the prevention activities. However, the fatal industrial accidents such as the death tend to increase and risk per accident has increased. The previous studies on the industrial accidents focus on the entire accidents. However, these studies are lacking for the fatal industrial accidents such as the death. The purpose of this paper is to analyze the characteristics and trend of death which occurred by industrial accident, based on the real data of deaths collected last 5 years from 1999 to 2003 in korea. This paper suggests a analysis method using MDS(MultiDimensional Scaling) that considers accidents variables and properties simultaneously. We evaluate MDPREF (Multidimensional Analysis of Preference Data), one of the MDS analysis, to know the relations between the type of industry and region as well as the type of industry and occupation. This paper finds the type of industry which has high possibilities of death by regional groups. In addition, we find the type of occupation which has high possibilities of death by the type of industry. These findings indicate that industrial classification should be differently controled according to type of occupation and region.

Characteristics of pork belly consumption in South Korea and their health implication

  • Choe, Jee-Hwan;Yang, Han-Sul;Lee, Sang-Hoon;Go, Gwang-Woong
    • Journal of Animal Science and Technology
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    • 제57권6호
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    • pp.22.1-22.7
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    • 2015
  • Fresh pork belly is a highly popular meat in South Korea, accounting for 59 % of the approximately 100 g of meat per capita that is consumed daily. Fresh pork belly offers not only high-quality protein from the lean cuts but also substantial micronutrients including fat-soluble vitamins and minerals. However, fresh pork belly generally consists of about 30 % fat, with saturated fatty acids representing half of this value. Excessive consumption of saturated fatty acids increases total cholesterol, low-density lipoprotein-cholesterol, and triglycerides while decreasing high-density lipoprotein-cholesterol, raising concerns about an increased risk of hyperlipidemia, followed by cardiovascular diseases. In this review, we discuss the consumption and production trends in South Korea, the general characteristics, and health issues related to fresh pork belly to delineate the features of pork production and consumer welfare.

Why Do Employees Behave Entrepreneurially? A Case of Thailand

  • NAKSUNG, Rungluck;PIANSOONGNERN, Opas
    • The Journal of Asian Finance, Economics and Business
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    • 제7권10호
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    • pp.129-139
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    • 2020
  • The objective of this study is twofold: first, to investigate how organizations encourage factors that have an impact on employees' entrepreneurial behavior from employee's perspectives and experiences; and second, to discover how and why employees behave entrepreneurially within the organization. A case study method is considered as an appropriate approach to scrutinize intrapreneurial behavior because it principally concentrates on an investigation into a contemporary organizational phenomenon and context concerning entrepreneurial activities in-depth within its real situation. In data collection, an Asian multinational retail company was selected. Semi-structured interviews were carried out with 24 executive-level employees who had been working in various departments for more than 5 years. Each in-depth interview lasts for a duration of 40 to 60 minutes. The results reveal several understandings into the combination of individual-level and organizational-level factors that promote the intrapreneurial behavior and activities of the established firm in the context of Thailand. In this regard, six factors have been found as the key determinants that make an impact on innovativeness, proactiveness, and risk-taking behaviour of the employees. Those factors are personal preference, organizational stability, management support, compensation, reward system, teamwork, quality of relationship with colleagues, work autonomy and the quality of relationship with the superiors.

Minimum Message Length and Classical Methods for Model Selection in Univariate Polynomial Regression

  • Viswanathan, Murlikrishna;Yang, Young-Kyu;WhangBo, Taeg-Keun
    • ETRI Journal
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    • 제27권6호
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    • pp.747-758
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    • 2005
  • The problem of selection among competing models has been a fundamental issue in statistical data analysis. Good fits to data can be misleading since they can result from properties of the model that have nothing to do with it being a close approximation to the source distribution of interest (for example, overfitting). In this study we focus on the preference among models from a family of polynomial regressors. Three decades of research has spawned a number of plausible techniques for the selection of models, namely, Akaike's Finite Prediction Error (FPE) and Information Criterion (AIC), Schwartz's criterion (SCH), Generalized Cross Validation (GCV), Wallace's Minimum Message Length (MML), Minimum Description Length (MDL), and Vapnik's Structural Risk Minimization (SRM). The fundamental similarity between all these principles is their attempt to define an appropriate balance between the complexity of models and their ability to explain the data. This paper presents an empirical study of the above principles in the context of model selection, where the models under consideration are univariate polynomials. The paper includes a detailed empirical evaluation of the model selection methods on six target functions, with varying sample sizes and added Gaussian noise. The results from the study appear to provide strong evidence in support of the MML- and SRM- based methods over the other standard approaches (FPE, AIC, SCH and GCV).

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The effect of ginsenosides on depression in preclinical studies: A systematic review and meta-analysis

  • Kim, Yunna;Cho, Seung-Hun
    • Journal of Ginseng Research
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    • 제45권3호
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    • pp.420-432
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    • 2021
  • Background: Many ginsenosides have been shown to be efficacious for major depressive disorder (MDD), which is a highly recurrent disorder, through several preclinical studies. We aimed to review the literature assessing the antidepressant effects of ginsenosides on MDD animal models, to establish systematic scientific evidence in a rigorous manner. Methods: We performed a systematic review on the antidepressant effects of ginsenoside evaluated in in vivo studies. We searched for preclinical trials from inception to July 2019 in electronic databases such as Pubmed and Embase. In vivo studies examining the effect of a single ginsenoside on animal models of primary depression were included. Items of each study were evaluated by two independent reviewers. A meta-analysis was conducted to assess behavioral changes induced by ginsenoside Rg1, which was the most studied ginsenoside. Data were pooled using the random-effects models. Results: A total of 517 studies were identified, and 23 studies were included in the final analysis. They reported on many ginsenosides with different antidepressant effects and biological mechanisms of action. Of the 12 included articles assessing ginsenoside Rg1, pooled results of forced swimming test from 9 articles (mean difference (MD): 20.50, 95% CI: 16.13-24.87), and sucrose preference test from 11 articles (MD: 28.29, 95% CI: 22.90-33.69) showed significant differences compared with vehicle treatment. The risk of bias of each study was moderate, but there was significant heterogeneity across studies. Conclusion: These estimates suggest that ginsenosides, including ginsenoside Rg1, reduces symptoms of depression, modulates underlying mechanisms, and can be a promising antidepressant.

Radiation tolerance of a small COTS single board computer for mobile robots

  • West, Andrew;Knapp, Jordan;Lennox, Barry;Walters, Steve;Watts, Stephen
    • Nuclear Engineering and Technology
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    • 제54권6호
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    • pp.2198-2203
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    • 2022
  • As robotics become more sophisticated, there are a growing number of generic systems being used for routine tasks in nuclear environments to reduce risk to radiation workers. The nuclear sector has called for more commercial-off-the-shelf (COTS) devices and components to be used in preference to nuclear specific hardware, enabling robotic operations to become more affordable, reliable, and abundant. To ensure reliable operation in nuclear environments, particularly in high-gamma facilities, it is important to quantify the tolerance of electronic systems to ionizing radiation. To deliver their full potential to end-users, mobile robots require sophisticated autonomous behaviors and sensing, which requires significant computational power. A popular choice of computing system, used in low-cost mobile robots for nuclear environments, is the UP Core single board computer. This work presents estimates of the total ionizing dose that the UP Core running the Robot Operating System (ROS) can withstand, through gamma irradiation testing using a Co-60 source. The units were found to fail on average after 111.1 ± 5.5 Gy, due to faults in the on-board power management circuitry. Its small size and reasonable radiation tolerance make it a suitable candidate for robots in nuclear environments, with scope to use shielding to enhance operational lifetime.

A Direct Utility Model with Dynamic Constraint

  • Kim, Byungyeon;Satomura, Takuya;Kim, Jaehwan
    • Asia Marketing Journal
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    • 제18권4호
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    • pp.125-138
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    • 2017
  • The goal of the study is to understand how consumers' constraint as opposed to utility structure gives rise to final decision when consumers purchase more than one variant of product at a time, i.e., horizontal variety seeking or multiple-discreteness. Purchase and consumption decision not only produces utility but also involves some sort of cognitive pressure. Past consumption or last purchase is likely to be linked to this burden we face such as concern for obesity, risk of harm, and guilt for mischief. In this research, the existence and the role of dynamic constraint are investigated through a microeconomic utility model with multiple dynamic constraint. The model is applied to the salty snacks data collected from field study where burden for spiciness serves as a constraint. The results are compared to the conventional multiple discreteness choice models of static constraints, and policy implications on price discounts is explored. The major findings are that first, one would underestimate the level of consumer preference for product offerings when ignoring the carry-over of the concern from the past consumption, and second, the impact of price promotion on demand would be properly evaluated when the model allows for the role of constraint as both multiple and dynamic. The current study is different from the existing studies in two ways. First, it captures the effect of 'mental constraint' on demand in formal economic model. Second, unlike the state dependence well documented in the literature, the study proposes the notion of state dependence in different way, via constraint rather than utility.

Data-Driven Approaches for Evaluating Countries in the International Construction Market

  • Lee, Kang-Wook;Han, Seung H.
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.496-500
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    • 2015
  • International construction projects are inherently more risky than domestic projects with multi-dimensional uncertainties that require complementary risk management at both the country and project levels. However, despite a growing need for systematic country evaluations, most studies have focused on project-level decisions and lack country-based approaches for firms in the construction industry. Accordingly, this study suggests data-driven approaches for evaluating countries using two quantitative models. The first is a two-stage country segmentation model that not only screens negative countries based on country attractiveness (macro-segmentation) but also identifies promising countries based on the level of past project performance in a given country (micro-segmentation). The second is a multi-criteria country segmentation model that combines a firm's business objective with the country evaluation process based on Kraljic's matrix and fuzzy preference relations (FPR). These models utilize not only secondary data from internationally reputable institutions but also performance data on Korean firms from 1990 to 2014 to evaluate 29 countries. The proposed approaches enable firms to enhance their decision-making capacity for evaluating and selecting countries at the early stage of corporate strategy development.

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Role of endoscopy in patients with achalasia

  • So Young Han;Young Hoon Youn
    • Clinical Endoscopy
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    • 제56권5호
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    • pp.537-545
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    • 2023
  • Achalasia is an esophageal motility disorder characterized by impaired lower esophageal sphincter relaxation and peristalsis of the esophageal body. With the increasing prevalence of achalasia, interest in the role of endoscopy in its diagnosis, treatment, and monitoring is also growing. The major diagnostic modalities for achalasia include high-resolution manometry, esophagogastroduodenoscopy, and barium esophagography. Endoscopic assessment is important for early diagnosis to rule out diseases that mimic achalasia symptoms, such as pseudo-achalasia, esophageal cancer, esophageal webs, and eosinophilic esophagitis. The major endoscopic characteristics suggestive of achalasia include a widened esophageal lumen and food residue in the esophagus. Once diagnosed, achalasia can be treated either endoscopically or surgically. The preference for endoscopic treatment is increasing owing to its minimal invasiveness. Botulinum toxins, pneumatic balloon dilation, and peroral endoscopic myotomy (POEM) are important endoscopic treatments. Previous studies have demonstrated excellent treatment outcomes for POEM, with >95% improvement in dysphagia, making POEM the mainstay treatment option for achalasia. Several studies have reported an increased risk of esophageal cancer in patients with achalasia. However, routine endoscopic surveillance remains controversial owing to the lack of sufficient data. Further studies on surveillance methods and duration are warranted to establish concordant guidelines for the endoscopic surveillance of achalasia.