• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5483-5488
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• 2012

Background: Although nicotine dependence plays a role as a main barrier for smoking cessation, there is still a lack of solid evidence on the validity of biomarkers to determine nicotine dependence in clinical settings. This study aimed to investigate whether urinary cotinine levels could reflect the severity of nicotine dependence in active smokers. Materials and Methods: Data regarding general characteristics and smoking status was collected using a self-administered smoking questionnaire. The Fagerstr$\ddot{o}$m test for nicotine dependence (FTND) was used to determine nicotine dependence of the participants, and a total of 381 participants were classified into 3 groups of nicotine dependence: low (n=205, 53.8%), moderate (n=127, 33.3%), and high dependence groups (n=49, 12.9%). Stepwise multiple linear regression model and receiver operating characteristic (ROC) curves analyses were used to determine the validity of urinary cotinine for high nicotine dependence. Results: In correlation analysis, urinary cotinine levels increased with FTND score (r=0.567, P<0.001). ROC curves analysis showed that urinary cotinine levels predicted the high-dependence group with reasonable accuracy (optimal cut-off value=1,000 ng/mL; AUC=0.82; P<0.001; sensitivity=71.4%; specificity=74.4%). In stepwise multiple regression analysis, the total smoking period (${\beta}$=0.042, P=0.001) and urinary cotinine levels (${\beta}$=0.234, P<0.001) were positively associated with nicotine dependence, whereas an inverse association was observed between highest education levels (>16 years) and nicotine dependence (${\beta}$=-0.573, P=0.034). Conclusions: The results of this study support the validity of using urinary cotinine levels for assessment of nicotine dependence in active smokers.

• Journal of the Korean Society of Safety
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• v.15 no.3
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• pp.71-77
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• 2000

The aim of this study is to investigate the temperature dependence of the lower explosive limit(LEL) at elevated temperature. The temperature dependence of the lower explosive limit is one of the significant indices of flammability and combustibility. By using the literature data, the new equations for predicting the temperature dependence of the lower explosive limits for paraffinic hydrocarbons are proposed. The values calculated by the proposed equations were a good agreement with the literature data. It is hoped eventually that this proposed equations will support the use of the prediction for the lower explosive limit and the flash points of the flammable mixtures.

• Honam Mathematical Journal
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• v.15 no.1
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• pp.129-136
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• 1993

In this paper we present of a class infinite M A (moving-average) sequences of multivariate random vectors. We use the theory of positive dependence to show that in a variety of cases the classes of M A sequences are associated. We then apply the association to establish some probability bounds and moment inequalities for multivariate processes.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.5959-5963
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• 2012

Background: The term 'hardcore' has been applied to use of smoking tobacco and generally referred to as the inability or unwillingness of regular smokers to quit. The component constructs of hardcore except nicotine dependence are product neutral. With the use of 'time to first chew' as a measure of nicotine dependence, hardcore definition can be extended to characterize smokeless tobacco users. Hardcore users respond less to tobacco cessation interventions, and are prone to tobacco induced diseases including cancer. Thus identifying hardcore users would help in estimate the burden of high risk population for tobacco induced diseases. Smokeless tobacco use is predominant and accounts for more than 50% of oral cancer in India. Hence, hardcore chewing information could be used for planning of tobacco and cancer control interventions. The objective of this study was to assess the prevalence and associated factors of hardcore smokeless tobacco use in India. Materials and Methods: Global Adult Tobacco Survey (GATS)-India 2010 data were analyzed to quantify hardcore smokeless tobacco use in India with following five criteria: (1) current daily smokeless tobacco use; (2) no quit attempt in the past 12 months of survey or last quit attempt of less than 24 hours duration; (3) no intention to quit in next 12 months or not interested in quitting; (4) time to first use of smokeless tobacco product within 30 minutes of waking up; and (5) knowledge of smokeless tobacco hazards. Results: The number of hardcore smokeless tobacco users among adult Indians is estimated to be 5% (39.5 million). This group comprises 23.2% of daily smokeless tobacco users. The population prevalence varied from 1.4-9.1% across different national regions of India. Logistic regression modeling indicated age, education and employment status to be the major predictors of hardcore smokeless tobacco use in India. Conclusions: The presence of a huge number (39.5 million) of hardcore smokeless tobacco users is a challenge to tobacco control and cancer prevention in India. There is an unmet need for a universal tobacco cessation programme and intensification of anti-tobacco education in communities.

• International Journal of Human Ecology
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• v.12 no.2
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• pp.51-63
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• 2011

This paper examines the relationship between economic dependence and gender differences in housework in Korea. There are three explanatory alternatives for the relationship; economic rule of exchange, gender display perspective and deviant neutralization. We analysed both 2004 and 2009 time use survey data. The findings show the significant gender differences in time spent on housework that wives spend much more time on housework than husbands. However, among couples with non-normative gender roles, in some cases the more economically powerful wives spend more time on housework than breadwinner wives with weaker economic power, although such cases are rare. Rather, it is appropriate to conclude that, the more economically independent the wives, the less time they spend on housework; this is also the case for husbands. Overall, the Korean case shows what the economic exchange theory predicts. Thus, improvements in working wives' economic power will lead to gender equity in the division of housework.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.45
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• pp.11-23
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• 1998

This paper presents a more efficient evaluation of alternatives by use of multi-criteria decision making methodlogy under fuzzy intersectional dependence relations. The performance evaluation of most systems such as weapons, enterprise systems etc. are multiple criteria decision making problems. The descriptions and judgements on these systems are usually linguistic and fuzzy. The traditional methods of Analytic Hierarchy Process(AHP) are mainly used in crisp(non-fuzzy) decision applications with a very unbalanced scale of judgements and rank reversal. To overcome these problems, we will propose a new, general decision making method for evaluation models using fuzzy AHP(FAHP) under fuzzy intersectional dependence relations. The T.M.S alternatives A, B and C will be evaluted by the Fuzzy Analytic Hierachy Process (FAHP) based on entropy weight in this study. We will use symmetric triangular fuzzy numbers to indicate the relative strength of the elements in the hierachy and degree of intersection between criteria. These problems are evaluated by five criteria : tactical criteria, technology criteria, maintenance criteria, economy criteria, advacement criteria.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.

• Journal of Information Technology Services
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• v.7 no.1
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• pp.167-193
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• 2008

Clients' outsourcing strategies noted in the IT outsourcing literature generate varying levels of client dependence on vendors. This study investigates clients' efforts to mitigate such dependence by utilizing multiple vendors. We use the theoretical lenses of resource dependency and opportunism to study this phenomenon. Specifically. we consider degree of outsourcing, duration of contract, and externalization of control as strategic choices that engender vulnerabilities that clients seek to offset by using multiple vendors. This study then considers the basis of the outsourcing relationships, clients' satisfaction with the relationships. and clients' IT workforce size as conditions that induce clients' concerns about vendor opportunism. This study argues that these conditions can exacerbate clients' experience of vulnerability. further encouraging clients' use of multiple vendors. The research model developed is tested in a survey of firms in South Korea. Results suggest a strong impact of outsourcing strategic choices on the number of vendors used by clients. The anticipated moderating effects of opportunism were only weakly supported by the data though. Theoretical and practical implications of the results are considered and suggestions for future research are offered.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.131-143
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• 2018

The purpose of this study is to investigate whether ego-resilience has mediating effects on the relationships between elementary school student's smartphone dependence and attention. This study was conducted on 326 5th grade elementary school students in Gimhae city, and SPSS 24.0 program was used for data analysis. The result of this study was as follows. First, elementary school students' smartphone dependence showed a significant negative correlation with ego-resilience. Second, the elementary school students' smartphone dependence showed a significant negative correlation with attention. Third, as a result of analyzing the mediating effect of ego-resilience on the elementary school students' relationship with their smartphone dependence and attention, the ego-resilience has a partial mediating effect. Based on these results, suggestions were as follows: education for good use of smartphone, establishment and dissemination of family model related to smartphone use, and practical efforts and training to improve ego-resilience.

• Korean Journal of Adult Nursing
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• v.24 no.5
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• pp.441-453
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• 2012

Purpose: This secondary data analysis study was aimed at identifying the factors related to the patterns of alcohol use (normal alcohol use, hazardous alcohol use, and alcohol dependence) in the Korean adult. Methods: This study analyzed the cross-sectional data from 230,715 Korean adults aged 19 year and older who participated in the 2009 Korean Community Health Survey. Multinomial logistic regression was used to uncover associations between demographic, health related factors and the patterns of alcohol use. Results: The patterns of alcohol use was differentiated from the sociodemographic variables (residential area, gender, age, marital status, educational level, monthly income, and occupation) and with health related factors (smoking status, hours of sleep, body mass index, pain or discomfort, subjective health, stress level, liver disease, cardio/cerebro vascular disease, and depression). Hazardous alcohol use was lower in rural areas and lower among women, but higher among people who smoke, reported severe stress, and/or depression. Similarly, alcohol dependence was lower among women and among those in rural areas, and was more likely associated with those who smoke, have severe stress and depression. Conclusion: A number of factors are associated with patterns of drinking. Smoking, severe stress and depression seems to confound the problems of alcohol use. Additional research is needed to isolate those factors that are the most important influencing the use of alcohol.