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        Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province)

        Maryam Aghajari,Maleeha Mozayyan,Marzieh Mokarram,Alireza Amirian Chekan 대한공간정보학회 2019 Spatial Information Research Vol.27 No.5

        The aim of this paper is to use Kriging (spherical, exponential, and Guassian models) and Inverse distance weighted (IDW) methods to prepare the water quality map. In addition, the relationship between water quality and distance to fault is determined in northeast of Fars province, Iran. Adaptive neuro fuzzy inference system method is also used to predict groundwater quality. The measured Sodium adsorption ratio and electrical conductivity parameters that are obtained from 384 wells in 2005 to 2014 are utilized to determine groundwater quality. The results show that the Kriging method (spherical model) has a higher accuracy with lower RMSE value than IDW method. Thereafter, this model is used to prepare the interpolation maps. Moreover, the results indicate the hybrid model in terms of maximum R2 and the minimum error is suitable enough to predict water quality parameters. In addition, the results depict by increasing the number of fault, the groundwater quality is decreased and vice versa.

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        Risk Factors for Breast Cancer in Iranian Women: A Hospital-Based Case-Control Study in Tabriz, Iran

        Mina Hosseinzadeh,Jamal Eivazi Ziaei,Nader Mahdavi,Parvaneh Aghajari,Maryam Vahidi,Alaviehe Fateh,Elnaz Asghari 한국유방암학회 2014 Journal of breast cancer Vol.17 No.3

        Purpose: Breast cancer is the most common cancer in womenworldwide and the leading cause of cancer death among women. In Asian countries such as Iran, the incidence of breast canceris increasing. The present study aimed to assess the riskfactors for breast cancer of women in Tabriz, Iran. Methods: Ahospital-based case-control study was undertaken to identifybreast cancer risk factors. The study consisted of 140 casesconfirmed via histopathological analysis and 280 group-matchedcontrols without any malignancy. Data were analyzed using descriptiveand inferential statistical methods via the SPSS softwareversion 18. Results: In a multivariate analysis, educationallevel (odds ratio [OR], 4.7; 95% confidence interval [CI], 2.11–10.83), menopausal status (OR, 2.54; 95% CI, 1.41–4.59), ahigh-fat diet (OR, 2.76; 95% CI, 1.51–5.04), abortion (OR, 2.13;95% CI, 1.20–3.79), passive smoking (OR, 2.76; 95% CI, 1.51–5.04), oral contraceptive use (OR, 3.18; 95% CI, 1.80–5.59),stress (OR, 3.05; 95% CI, 1.74–5.36), and migration (OR, 3.09;95% CI, 1.39–6.90) were factors associated with a significantlyincreased risk of breast cancer. Breastfeeding (OR, 0.39; 95%CI, 0.16–0.97) and a diet containing sufficient fruit and vegetables(OR, 0.22; 95% CI, 0.12–0.39) had protective roles againstbreast cancer. Conclusion: The study revealed that the risk factorsfor breast cancer among women in the Tabriz area of Iranare related to the lifestyle. Therefore, the provision of educationto change unhealthy lifestyle choices and periodic check-ups forearly breast cancer detection are recommended.

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