• 보건교육건강증진학회지
• /
• 제27권4호
• /
• pp.165-175
• /
• 2010

Objectives: The purpose of this study is to evaluate the program theory of a lifestyle intervention program for the prevention and treatment of metabolic syndrome. Methods: The program evaluated is a tailored intervention for multiple health behavior associated with metabolic syndrome which is informed by theoretical constructs from the Intervention Mapping and Transtheoretical model. The program components include one-to-one health counseling, a self-management handbook, and a health diary. To evaluate program impact theory we examined the logic of program goals and objectives, intervention methods and strategies, and the theoretical constructs of program materials through document review and matrix building. Results: This evaluation has found that the intervention program applied social cognitive theory constructs to design intervention methods and strategies in addition to the Transtheoretical model: self-monitoring for goal setting and monitoring skill, outcome expectation for the benefits of health behavior change, and interaction with environment for observational learning through modeling. While the intervention addresses multiple determinants and behaviors, it is limited to an individual level and lacks social and environmental approaches. Following the Transtheoretical framework, the contents of the intervention materials were developed utilizing consciousness raising as a main strategy for earlier stages of change, and counterconditioning and stimulus control for later stages of change. Conclusion: Program theory evaluation can be a process of enhancing program validity. It would also be necessary for providing basis for efficient program implementation. When comparisons of program theory between similar programs are possible, program theory and validity will be strengthened when comparisons of program theories between similar programs are possible.

• 한국산업보건학회지
• /
• 제29권4호
• /
• pp.530-540
• /
• 2019

Objectives: The purpose of this study was to identify factors related with demographic and work characteristics that affect musculoskeletal pain and quality of life among personal assistants for people with severe disabilities. Methods: The subjects were recruited among personal assistant for people with severe disabilities who participated in refresher training held in K-si, Gyeonggi-do Province through convenience sampling. Using a survey instrument developed by the authors, subjects responded to questionnaires concerning muscluloskeletal pain and quality of life. The collected data was analyzed using SPSS 21.0. Basically, collected data was analyzed in terms of frequency, t-test or ANOVA and multiple regression analysis. Results: Total years of work experience and subjective physical workload were associated with the number of pain sites and intensity. Additionally, for quality of life, subjective physical workload was related in the regression model. Conclusions: Based on this study, we identified that characteristics of work affected the musculoskeletal pain and quality of life of personal assistants for the severely disabled, and suggested improvement of the working environment, including musculoskeletal pain prevention education programs during the refresher education for assistants to the severely disabled.

• 한국산업보건학회지
• /
• 제28권4호
• /
• pp.374-381
• /
• 2018

Objective: This study was carried out to examine the factors affecting the fatigue and health promotion behavior of hairdressers and their respective levels. The data were collected from 195 hairdressers working in beauty shops in Daegu and Gyeongsangbuk-do Province using self-administered questionnaires over the period from July 1 to July 31. Methods: A multiple regression model was used to study the factors influencing fatigue and health promotion behavior among hairdressers. Results: This study showed a statistically significant difference in perceived fatigue levels and health promotion behavior according to age, family type, education level, work period, work position, and fatigue level in the past one week. In addition, multiple regression showed that statistically significant factors affecting perceived fatigue were education level, work period, and fatigue level in the past one week. Statistically significant factors affecting health promotion behavior were age and fatigue level in the past one week. The level of perceived fatigue among hairdressers tended to be higher than other workers, and their level of practice of health promotion behavior was generally lower. Conclusions: The improvement of the work environment, such as through the distribution of a proper workload considering workers' characteristics and strengthening of exercise programs to reduce the fatigue level and promote health practices among hairdressers is needed.

• Earthquakes and Structures
• /
• 제10권1호
• /
• pp.141-161
• /
• 2016

In seismic fragility and risk analysis, the definition of structural limit state (LS) capacities is of crucial importance. Traditionally, LS capacities are defined according to design code provisions or using deterministic pushover analysis without considering the inherent randomness of structural parameters. To assess the effects of structural randomness on LS capacities, ten structural parameters that include material strengths and gravity loads are considered as random variables, and a probabilistic pushover method based on a correlation-controlled Latin hypercube sampling technique is used to estimate the uncertainties in LS capacities for four typical reinforced concrete frame buildings. A series of ten LSs are identified from the pushover curves based on the design-code-given thresholds and the available damage-controlled criteria. The obtained LS capacities are further represented by a lognormal model with the median $m_C$ and the dispersion ${\beta}_C$. The results show that structural uncertainties have limited influence on $m_C$ for the LSs other than that near collapse. The commonly used assumption of ${\beta}_C$ between 0.25 and 0.30 overestimates the uncertainties in LS capacities for each individual building, but they are suitable for a building group with moderate damages. A low uncertainty as ${\beta}_C=0.1{\sim}0.15$ is adequate for the LSs associated with slight damages of structures, while a large uncertainty as ${\beta}_C=0.40{\sim}0.45$ is suggested for the LSs near collapse.

• 유통과학연구
• /
• 제21권5호
• /
• pp.31-41
• /
• 2023

Purpose: Electric vehicle (EV) technology started in 2015 in Thailand. The Thai Government has indicated that 30% of all cars produced in Thailand by 2025 will be EVs. Using EVs in Thailand will reduce road pollution and increase energy efficiency, especially in major cities. Hence, the adoption of EVs in the country has been promoted. This study pointed out that social influence, facilitating conditions, perceived enjoyment, environmental concern, attitude, and perceived behavioral control are key factors affecting the behavioral intention to adopt EVs among logistic and distribution firms in Thailand. Research design, data, and methodology: 500 top management, middle management and purchasing managers of logistic and distribution firms in Thailand are surveyed. The study employed judgmental, convenience, and snowball sampling. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) are the main statistical tools for data analysis. Results: The results show that all determinants impact customers' willingness to adopt EVs, except perceived enjoyment and environmental control. Conclusions: The study proposes to promote the incentives by decreasing electricity prices and endorsing EVs purchase to accelerate the adoption of EVs in Thailand. Therefore, future policies should focus on behavioral intention toward EVs amongst logistic and distribution firms for enhancing the future of mobility in Thailand.

• 환경영향평가
• /
• 제32권2호
• /
• pp.61-71
• /
• 2023

공간 스케일에 따른 생물 종 별 영향의 차이가 발생함에 따라, 도시 개발 사업에 따른 영향을 정량적으로 평가하기 위해서는 경관규모에서의 분석이 필요하다. 선행연구에서는 도시개발에 따라 변화하는 환경에 대한 생물종 영향을 분석하기위해 메타개체군 이론을 기반한 Incidence Function Model (IFM)을 활용하여 분석하고 있다. 하지만 해당 모델은 최소 점유영역이 10개 이상이 되어야 하므로, 모니터링이 어려운 생물종에 대한 활용은 어렵다. 따라서 본 연구에서는 이러한 문제점을 보완하기 위해 삵(Prionailurus bengalensis)을 중심으로 종 분포 모델을 통해 구축된 데이터를 바탕으로 IFM 모델을 분석하고자 하였다. 또한, 본 모델을 통해 환경영향평가서 중 자연생태환경분야에서의 활용 가능성을 검토하였다. 연구결과, 도시개발에 따른 삵의 최소 점유율은 56.5%, 생존가능성은 28.7%로 감소하는 것을 확인할 수 있었다. 서식지 개수 감소에 따른 개체군 수용력에 대한 분석을 통해 230개소와 70개소에서 개체군의 수용 능력이 급격하게 감소함을 확인하였다. 본 연구는 환경계획 관점에서 서식지 면적 감소에 따른 삵의 환경영향을 평가하였으며, 삵을 보호하기 위한 최소한의 서식지 개수 및 면적 설정에 대한 의사결정을 지원할 수 있다. 이는 개발 프로젝트 전, 후 영향평가 및 저감방안 계획에 기초자료로 활용됨으로써, 저감방안의 실효성을 높여줄 수 있을 것으로 기대된다.

• 한국환경과학회지
• /
• 제29권1호
• /
• pp.1-13
• /
• 2020

Recently, a heavy rainfall with high spatial variation occurred frequently in the Korean Peninsula. The meteorological event that occurred in Busan on 3 May 2016 is characterized by heavy rain in a limited area. In order to clarify the reason of large spatial variation associated with mountain height and location of low level jet, several numerical experiments were carried out using the dynamic meteorological Weather Research and Forecasting (WRF) model. In this case study, the raised topography of Mount Geumjeong increased a barrier effect and air uplifting due to topographic forcing on the windward side. As a result, wind speed reduced and precipitation increased. In contrast, on the downwind side, the wind speed was slightly faster and since the total amount of water vapor is limited, the precipitation on the downwind side reduced. Numerical experiments on shifting the location of the lower jet demonstrated that if the lower jet is close to the mountain, its core becomes higher due to the effect of friction. Additionally, the water vapor convergence around the mountain increased and eventually the precipitation also increased in the area near the mountain. Hence, the location information of the lower jet is an important factor for accurately predicting precipitation.

• 대한지구과학교육학회지
• /
• 제16권2호
• /
• pp.234-246
• /
• 2023

본 연구는 Gagné의 '영재성과 재능에 대한 차별화 모형(DMGT)'을 이용하여 장영실의 주요 생애 사건을 수집 및 추출하고 그의 생애사에서 영재성이 어떻게 형성되고 계발되었는지, 그가 과학 기술 분야에서 재능을 발휘할 수 있었던 요인은 무엇이 있는지 알아보기 위해 그의 역사 기록, 위인전, 학술지 등을 분석하는 질적 연구 방법 중 '내용 분석법'을 적용하여 살펴보았다. 그리고 Gagné의 영재성과 재능에 대한 차별화 모형(DMGT)의 틀에 기초하여 장영실의 영재성 발현기제를 분석하고 이를 바탕으로 영재교육에서 나아갈 방향을 탐색하고자 하였다. 연구 결과를 종합 정리하면, 첫째, 영재성(G)에서는 장영실은 과학·기술 능력이 뛰어났음을 알 수 있었다. 둘째, 개인 내적 촉매(IC)를 구성하는 동기, 결단력, 자기관리, 성격 요인은 영재성 발달과정에 영향을 미쳤다. 셋째, 환경적 촉매(EC)에서 사회적 환경 및 동료가 영재성을 발휘하는 것에 영향을 미쳤다. 넷째, 우연 혹은 기회의 촉매(C)는 장영실이 영재성을 발현하는데 가장 큰 영향을 미친 요인이었다. 다섯째, 발달과정(LP)에서 비형식적 학습, 비제도적 형식적 학습이 영재성 발현에 영향을 미쳤다. 이와 같이 장영실과 같은 인물의 재능발달 요인은 향후 영재성의 발현 기제를 이해하고 영재성을 발견할 수 있는 검사 도구, 영재성을 개발시킬 수 있는 맞춤 프로그램 개발의 필요성의 시사점을 제공하고 있다.

• 한국과학교육학회지
• /
• 제17권3호
• /
• pp.229-237
• /
• 1997

Due mainly to the complexity of educational system, it is difficult to comprehend the phenomena and nature of the science education. Educators have developed various kinds of means and methods useful for easy understanding of the phenomena and nature. This study added another method supporting that the phenomena and nature of the science education should be understood in the context of educational system. System approach into thought is holistic and contextual in nature. It focuses on both the whole and its relevant parts, and is concerned with environmental context. By its definition, a system interact not only with another system but also with its environments. The purpose of this study was to answer such questions as "What is the science education?", or "What is the meaning of the science education?", "Why do we teach science?", "Why are we ought to teach science?", and "How do we know that those facts and methods are valid?" The results for the study are as follows: 1. Science education is the human behavior with the purpose to attain something through science and education. It is socio-cultural process, social and organizational activity into which the public deeply involved. The process and activity are usually undergirded upon the value of science education. 2. The science education system is analyzed in the light of the legislative institution. The system model that characterize of the system and the interrelationship among the systems is suggested in terms of the conceptions of boundary, components, variables, parameters and linkage, etc. Then, the science education system is divided into the plan-system, do-system and see-system by the use of the criterion of plan-do-see that is the general process of human activity. The study also identified that the system of science education is consisted of the aspects of science education administration, school science education, and science education evaluation. 3. As the frame of thought on the contextuality in the science education system, the contexts of meaning, organization, legislation and policy were presented, along with the main cognitive interest, the system, the orientation, and the premise of each context which were used to explain the reasons. The results of this study suggested a new approach into the comprehension of the educational phenomena in teaching science and the possibility of understanding science education as a whole.

• Geomechanics and Engineering
• /
• 제10권3호
• /
• pp.269-284
• /
• 2016

Simplified techniques based on in situ testing methods are commonly used to assess seismic liquefaction potential. Many of these simplified methods were developed by analyzing liquefaction case histories from which the liquefaction boundary (limit state) separating two categories (the occurrence or non-occurrence of liquefaction) is determined. As the liquefaction classification problem is highly nonlinear in nature, it is difficult to develop a comprehensive model using conventional modeling techniques that take into consideration all the independent variables, such as the seismic and soil properties. In this study, a modification of the Multivariate Adaptive Regression Splines (MARS) approach based on Logistic Regression (LR) LR_MARS is used to evaluate seismic liquefaction potential based on actual field records. Three different LR_MARS models were used to analyze three different field liquefaction databases and the results are compared with the neural network approaches. The developed spline functions and the limit state functions obtained reveal that the LR_MARS models can capture and describe the intrinsic, complex relationship between seismic parameters, soil parameters, and the liquefaction potential without having to make any assumptions about the underlying relationship between the various variables. Considering its computational efficiency, simplicity of interpretation, predictive accuracy, its data-driven and adaptive nature and its ability to map the interaction between variables, the use of LR_MARS model in assessing seismic liquefaction potential is promising.