• Title/Summary/Keyword: Activity Data Modeling

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Neighborhood Environment Associated with Physical Activity among Rural Adults: Applying Zero-Inflated Negative Binominal Regression Modeling (영과잉 음이항 회귀모형을 적용한 농촌지역 성인 신체활동의 지역사회환경 요인 분석)

  • Kim, Bongjeong
    • Journal of Korean Public Health Nursing
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    • v.29 no.3
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    • pp.488-502
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    • 2015
  • Purpose: This study was conducted to determine the neighborhood environmental factors associated with physical activity among adults living in rural communities. Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 201 adults living in three Ri in Y-city, Gyeonggi-do. Data were collected from face-to-face interview by trained interviewers and were analyzed using a zero-inflated negative binominal regression model. Results: Participants reported engaged in moderate or vigorous physical activity was 76.1%; 10.5% of participants reported that they met moderate physical activity recommendations and 14.5% of participants reported that they met vigorous physical activity recommendations. Zero-inflated negative binominal regression analysis showed association of increasing days of physical activity with social cohesion (${\beta}=.130$, p=.005), social network (${\beta}=-.096$, p=.003), and safety for crime (${\beta}=-.151$, p=.036), and no days of physical activity was associated with no attainment of education and marginally associated with increasing BMI. Conclusion: Neighborhood environmental factors including social cohesion, social network, and crime for safety were significantly associated with physical activity of rural adults. Community health nurses should expand an approach for individual behavior change to incorporate rural adults' specific neighborhood environmental factors into physical activity interventions.

Analysis of Elementary Students Modeling Using the Globe on the Cause of Seasonal Change (초등학생의 계절 변화 원인에 관한 지구본 활용 모델링 분석)

  • Suk, Yun Su;Yoon, Hye-Gyoung
    • Journal of Korean Elementary Science Education
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    • v.41 no.4
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    • pp.673-689
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    • 2022
  • To understand seasonal changes it is necessary to understand the relationship between celestial bodies in a three-dimensional space, and to this end, modeling activities in which students directly construct, use, evaluate, and modify three-dimensional models are important. In this study, the process of elementary school students using globes and light bulbs to model Earth's motion in a three-dimensional space as a cause of seasonal changes was analyzed. Seventeen sixth graders participated in the modeling process. After exploring phenomena and concepts related to seasonal change, students constructed models using globes and bulbs and used them to explain seasonal changes. Video data recording students' modeling process, students' activity sheets, and transcripts of post-interview were used as research data, and data triangulation was conducted. The modeling level analysis framework was also developed based on previous studies. In particular, the framework was developed in detail in this study in consideration of the concept of Earth's motion as well as understanding model and implementing modeling. In the final analysis framework, the 3D modeling level was classified from level 1 to level 3, and student performance that may appear at each level was specified. As a result of the study, there were two main levels of modeling using globes for elementary school students to explain seasonal changes. The rotation and tilt of the axis of rotation and revolution of the earth were considered but the level at which empirical evidence was not used (level 2), the level at which empirical evidence was used to explain seasonal chages (level 3). However, even when students use empirical evidence, it did not lead to the construction of a scientific model. In this study, the cause was explored in relation to the characteristics of the tool used for modeling.

Factors Predicting the Physical Activity Behavior of Female Adolescents: A Test of the Health Promotion Model

  • Mohamadian, Hashem;Arani, Mohammad Ghannaee
    • Journal of Preventive Medicine and Public Health
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    • v.47 no.1
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    • pp.64-71
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    • 2014
  • Objectives: Physical activity behavior begins to decline during adolescence and continues to decrease throughout young adulthood. This study aims to explain factors that influence physical activity behavior in a sample of female adolescents using a health promotion model framework. Methods: This cross-sectional survey was used to explore physical activity behavior among a sample of female adolescents. Participants completed measures of physical activity, perceived self-efficacy, self-esteem, social support, perceived barriers, and perceived affect. Interactions among the variables were examined using path analysis within a covariance modeling framework. Results: The final model accounted for an $R^2$ value of 0.52 for physical activity and offered a good model-data fit. The results indicated that physical activity was predicted by self-esteem (${\beta}$=0.46, p<0.001), perceived self-efficacy (${\beta}$=0.40, p<0.001), social support (${\beta}$=0.24, p<0.001), perceived barriers (${\beta}$=-0.19, p<0.001), and perceived affect (${\beta}$=0.17, p<0.001). Conclusions: The findings of this study showed that the health promotion model was useful to predict physical activity behavior among the Iranian female adolescents. Information related to the predictors of physical activity behavior will help researchers plan more tailored culturally relevant health promotion interventions for this population.

A Study on the Analysis of R&D Trends and the Development of Logic Models for Autonomous Vehicles (자율주행자동차 R&D 동향분석과 논리모형 개발에 대한 연구)

  • Kim, Gil-Lae
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.31-39
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    • 2021
  • This study collected 1,870 English news articles related to research and development of autonomous vehicles in order to identify various issues emerging in the research and development process of autonomous vehicles at home and abroad, and conducted topic modeling after data pre-processing. As a result of topic modeling, we extracted 20 topics, and we performed naming operations for topics and interpreted their meanings. A logical model for autonomous vehicle research and development projects was presented in response to the R&D process of input, activity, output, and outcome of derived topics. The analysis results of this study will be used as basic data to accurately determine the progress of domestic and foreign self-driving car research and development projects and prepare for the rapidly changing technology development.

The Effects of SNS Appearance-Related Photo Activity on Women's Body Image and Self-Esteem (SNS 외모 관련 사진활동이 여성의 사회·심리적 외모 관련 태도, 신체만족도 및 자아존중감에 미치는 영향)

  • Lee, Minsun;Lee, Hyun-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.5
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    • pp.858-871
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    • 2017
  • The present study purported to understand the relationships between SNS appearance-related photo activity, body image and self-esteem among young women. Objectification Theory and Social Comparison Theory explain the process how young women's SNS appearance-related photo activity influence their body satisfaction through a perceived media pressure, objectification of their own bodies and appearance comparison. These process ultimately affect the self-esteem of young female users. A research model was proposed and related hypothesis were examined. We collected an online questionnaire from 400 female participants in their 20's. Data were analyzed using SPSS 23.0 and AMOS 18.0. Structural equation modeling analyses suggested that the proposed research model provided a good fit to the data and supported most hypothesis. The results indicated that the level of SNS appearance-related photo activity significantly influences young female user's body satisfaction and self-esteem. The findings of this study were consistent with previous literature on media and body image. Limitations and future research suggestions were also described.

Seasonal Prediction of Tropical Cyclone Frequency in the Western North Pacific using GDAPS Ensemble Prediction System (GDAPS 앙상블 예보 시스템을 이용한 북서태평양에서의 태풍 발생 계절 예측)

  • Kim, Ji-Sun;Kwon, H. Joe
    • Atmosphere
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    • v.17 no.3
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    • pp.269-279
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    • 2007
  • This study investigates the possibility of seasonal prediction for tropical cyclone activity in the western North Pacific by using a dynamical modeling approach. We use data from the SMIP/HFP (Seasonal Prediction Model Inter-comparison Project/Historical Forecast Project) experiment with the Korea Meteorological Administration's GDAPS (Global Data Assimilation and Prediction System) T106 model, focusing our analysis on model-generated tropical cyclones. It is found that the prediction depends primarily on the tropical cyclone (TC) detecting criteria. Additionally, a scaling factor and a different weighting to each ensemble member are found to be essential for the best predictions of summertime TC activity. This approach indeed shows a certain skill not only in the category forecast but in the standard verifications such as Brier score and relative operating characteristics (ROC).

Management of Product Life Cycle Data for Environmental Design (환경친화적 설계를 위한 제품 전주기 데이터 관리)

  • 황오현;강무진;이화조;최병욱
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.115-120
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    • 1997
  • Environmental Product Life Cycle Management is an activity for defining and describing the product, process or activity environmentally. Especially, the main responsibility for the environmental impact of products lies in the design phase of product. Designers cany a heavy responsibility to determine technical, economic and ecological properties of the product. So in order to help designers, structured understanding and application of treating large amount of data and infonnation should be considered. This paper presents a methodological approach for decision supporting to build Product Life Cycle Management system and show a set of database modeling. Additionally, a key issue for databases is the quality of the provided information.

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An Analysis of Structural Relationships among Financial Indicators of Hospitals in Korea: Applying Structural Equation Modeling(SEM) (병원 재무비율 지표들 간의 구조적인 관계 분석)

  • Jung, Min-Soo;Lee, Keon-Hyung;Choi, Man-Kyu
    • Health Policy and Management
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    • v.18 no.2
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    • pp.19-38
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    • 2008
  • Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

The longitudinal effects of children's temperament on maternal depression: A hierarchical linear modeling approach

  • Kim, Chul-Gyu;Choi, Mi-Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.1
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    • pp.91-100
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    • 2022
  • Purpose: This study aimed to identify the longitudinal effects of children's temperament on maternal depression. Methods: Data from a longitudinal cohort of the Panel Study of Korean Children (PSKC) from 2010 to 2012 were analyzed using hierarchical linear modeling. The survey included 1,721 mother-child dyads. The mothers reported on their children's temperament and on maternal depression. The children's temperament was measured by the Emotionality, Activity and Sociability-Temperament Survey for Children-Parental Ratings, while maternal depression was measured by the Kessler 6 Psychological Distress Scale. Results: The results showed that both children's temperament and maternal depression were relatively stable when the children were between the ages of 2 to 4. The mean maternal depression scores were 11.83 in 2010, 11.88 in 2011, and 11.75 in 2012. There were significant negative correlations between the maternal depression scores and children's ages, and sociability and activity subdomain scores ranged from r=-.05 to -.11 (p<.05). There was a significant positive correlation between children's emotionality subdomain scores and maternal depression scores (r=.35, p<.001). Children's temperament rament (emotionality: β=0.26, activity: β=-0.07, and sociability: β=-0.03) were significant factors in maternal depression. Conclusion: These findings indicate the need for the early assessment of and intervention for children's temperament and maternal depression. The results of this study will provide basic data for the development of nursing education programs related to early assessment and intervention to improve the health and quality of life of young children and mothers.

Mathematical Discovery and Justification through Modeling Activity in Spreadsheet Environment (스프레드시트 환경에서 모델링 활동을 통한 수학적 발견과 정당화)

  • Son, Hong-Chan;Lew, Hee-Chan
    • School Mathematics
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    • v.7 no.4
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    • pp.427-444
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    • 2005
  • The Purpose of this study is to explore he mathematical discovery and justification of six 10th grade students through mathematical modeling activities in spreadsheet environments. The students investigated problem situations with a spreadsheet, which seem to be difficult to solve in paper and pencil environment. In spreadsheet environments, it is easy for students to form a data table and graph by inputting and copying spreadsheet formulas, and to make change specific variable by making a scroll bar. In this study those functions of spreadsheet play an important role in discovery and justification of mathematical rules which underlie in the problem situations. In modeling activities, the students could solve the problem situations and find the mathematical rules by using those functions of spreadsheets. They used two types of trial and error strategies to find the rules. The first type was to insert rows between two adjacent rows and the second was to make scroll bars connecting specific variable and change the variable by moving he scroll bars. The spreadsheet environments also help students to justify their findings deductively and convince them that their findings are true by checking various cases of the Problem situations.

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