• Asian Pacific Journal of Cancer Prevention
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• v.15 no.21
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• pp.9475-9478
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• 2014

Cancer is the third highest cause of premature mortality in Iran. We aimed to determine trend of common cancers in Khuzestan province, Iran. Methods: It was a hospital based survey on 4065 subjects from their hospital files, those had registered as cancer case in Shafa hospital which has known as a biggest center of cancer in khuzestan province, Iran during 2005-2011.All data has entered by SPSS (version 19), descriptive statistic and adjusted odds ratio of common cancers for age and sex were calculated from multiple logistic regression model. Results: From all subjects; (51% & 49%) were male and female respectively. The most frequent age group was 60-50 years and common cancers were breast 16%, colorectal 6.3%, blood 2%, lung 8% and stomach 8%. Conclusion: Prevalence of cancers has increased markedly with age in Khuzestan Providence. Therefore, it is essential to prevent through early prevention, using screening and identifying cases in initial stages.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.901-908
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• 2010

A geometrical description method is proposed to represent the process of the forward selection and backward elimination methods among many variable selection methods for multiple regression models. This graphical method shows the process of the forward selection and backward elimination on the first and second quadrants, respectively, of half circle with a unit radius. At each step, the SSR is represented by the norm of vector and the extra SSR or partial determinant coefficient is represented by the angle between two vectors. Some lines are dotted when the partial F test results are statistically significant, so that statistical analysis could be explored. This geometrical description can be obtained the final regression models based on the forward selection and backward elimination methods. And the goodness-of-fit for the model could be explored.

• Journal of Distribution Science
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• v.13 no.12
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• pp.23-31
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• 2015

Purpose - The purpose of this study is to determine consumers' awareness of hygiene and the perceived risks in the service areas of coffee shops and diners, or simply coffee shops. Research design, data, and methodology - A literature review was conducted on related publications, essays, and periodicals to find correlations among the variables. We developed a research model and hypothesis, and conducted empirical research for statistical data analysis. Results - The results satisfied adequacy standards, with GFI=0.926, AGFI=0.901, RMR=0.020, NFI=0.941, X²=403.197, and p-value=0.120. The results also displayed satisfied adequacy standards for the moderating effects of shop types, with GFI=0.998 (≥0.9 desirable), AGFI=0.998 (≥0.9 desirable), RMR=0.004 (≤0.05 desirable), NFI=0.999 (≥0.9 desirable), X²=1.572, and p-value=0.814 (≥0.05 desirable). Conclusions - A higher consumer hygienic awareness results in a better brand image. Moreover, greater perceived risk results in a worse brand image. Perceived risk is a vital determinant of brand image and it deeply influences customers' decisions to visit. Therefore, perceived risk is a vital determinant of forming a brand image and must be incorporated when devising strategies.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.555-565
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• 2020

This study examines the determinant factors affecting young people in preparing entrepreneurship in Indonesia. This study involved several variables, including the need for achievement, risk perception, locus of control, entrepreneurial attitude to predict entrepreneurial intention, and preparation for entrepreneurship among young people. The approach utilized in this study was a quantitative research design using a survey model. The participants of this study were recruited from young people in East Java, Indonesia. Structural equation modeling with Partial Least Square (SEM-PLS) was implemented to test the hypotheses and the relationships between variables. The findings of this research showed that the attitudes toward entrepreneurship and entrepreneurial intention of young people in Indonesia are determined by several variables such as the need for achievement, risk perception, and locus of control. The correlation between variables showed one positive direction in which all independent variables can influence dependent variables. Additionally, the result of this study confirms a robust relationship between the attitude toward entrepreneurship and preparing for entrepreneurship among young people. Lastly, this study showed a positive correlation between entrepreneurial intention and preparation for entrepreneurship. This study suggests that government institutions and universities need to be concerned about entrepreneurial programs to promote young entrepreneurs.

• Journal of Power System Engineering
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• v.19 no.2
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• pp.70-77
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• 2015

Nowadays, car manufacturers applied many high strength steels such AHSS or UHSS to car bodies for weight lightening. Therefore, a variety of applied steel sheet to car bodies increased and the needs of simulation to evaluate weldability also increased in order to reduce the cost and time. In this study, resistance spot welding simulations for DP 780 Steel with 1.0 and 1.4 mm thickness were conducted with respect to lobe curve. 2 regression models to estimate tensile shear strength were suggested and they were second order polynomial regression model and optimized second order regression model. The performance of these models was evaluated in terms of the coefficient of determinant and average error rate.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.3
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• pp.166-175
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• 1998

When we make a speaker adapted model using MAPE (maximum a posteriori estimation), the adapted model has one mixture in each state. This is because we cannot estimate a number of a priori distribution from a speaker-independent model in each state. If the model is represented by one mixture in each state, it is not well adadpted to specific speaker because it is difficult to represent various speech informationof the speaker with one mixture. In this paper, we suggest the method using several mixtures to well represent various speech information of the speaker in each state. But, because speaker-specific training dat is not sufficient, this method can't be used in every state. So, we make the number of mixtures in each state variable in proportion to the number of frames and to the determinant ofthe variance matrix in the state. Using the proposed method, we reduced the error rate than methods using one branch in each state.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.117-119
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• 2005

For large structural eigen-analysis, the whole structure is divided into some partitioned structures and through synthesis of partitioned structural model the eigen-data of structure can be obtained. In that case, eigenvalue problem consists of semidefinite mass matrix form because of displacement constraint condition. In this work the eigenvalue problem is considered by means of several method, determinant search and null space reduction method.

• Journal of Distribution Research
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• v.1 no.1
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• pp.147-196
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• 1996

The objective of this study is th analyse the determinant factors of the marketing channel structures in the five industries, including homo-electronics, automobile, oil, liquors, and fast-food industries, on the basis of the transaction cost TCA and to develop the complementary and exensive conceptuai model for understanding the determinants of the channel structures. TCA is relatively weak and besides of the TCA varkables other environmental or relational variables are more likely to dorminate the channel structuring.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.4
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• pp.9-20
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• 2012

The purpose of this research is to confirm how the determinant factors for shopping mall selection (proximity, parking facility, benefits, mutual interaction effects, physical environment, surroundings) affect attractiveness (image and appraisal) of the traditional markets and revisit intention and suggest strategic methods for revitalization of the traditional markets. Results of this research are drawn from a survey of customers who visit any of the twenty-two traditional markets in the Seoul area at least twice a week. Moreover, the theory is verified through the structural equation model analysis using the SPSS win 18.0 and AMOS 18 version statistics package. From the determinant factors of visiting traditional markets, parking facility, physical environment, and the surroundings were significant in image attractiveness; benefits, mutual interaction effects, and physical environment showed significant effects on appraisal attractiveness. Additionally, image attractiveness was not significantly influential in retention proneness while appraisal attractiveness was a key factor in deciding whether or not to revisit. Therefore, improvement in image is important but appraisal aspects like product reliability that customers can personally assess, are more essential for revitalization of traditional markets.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.177-183
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success with its relevant understanding through the preceding studies. In addition, research with other related research model is to parallel.