Cervical Cancer Screening: Recommendations for Muslim Societies

Khodakarami, Nahid,Farzaneh, Farah,Yavari, Parvin,Akbari, Mohamad Esmaeil Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.1

Background: The overall cervical cancer incidence rate is low in Iran; however, because of a higher risk of death for cervical cancer, a disease that kills women in middle age, a cervical cancer control program is needed. The aim of this study was to provide consensus recommendation for cervical cancer prevention in Iran and other Muslim societies with low incidences of cervical cancer. Materials and Methods: Through a practical guideline development cycle, we developed six questions that were relevant to produce the recommendation. We reviewed 190 full text records of cervical cancer in Iran (1971 to 2013) of which 13 articles were related to the data needed to answer the recommendation questions. We also reviewed World Health Organization, IARC, GLOBOCAN report, Iran Ministry of Health cancer registry report and 8 available foreign countries guidelines. Lastly, we also evaluated the Pap smear results of 825 women who participated in the Iranian HPV survey, of whom 328 were followed-up after a 5-year interval. Results: The obtained data highlighted the burden of HPV and cervical cancer situation in Iran. Experts emphasized the necessity of a cervical cancer screening program for Iranian women, and recommended an organized screening program with a cytological evaluation (Pap smear) that would start at the age of 30 years, repeated every 5 years, and end at the age of 69 years. Meanwhile, there is no need for screening among women with a hysterectomy, and screening should be postponed to post-partum among pregnant women. Conclusions: An organized cervical cancer screening is a necessity for Iran as more than 500-900 women in middle age diagnosed with an invasive cervical cancer every year cannot be ignored. This recommendation should be taken into account by the National Health System of Iran and Muslim countries with shared culture and behavior patterns. CUBA HPV test could be consideration in countries Muslim country with appropriate budget, resources and facility.

VLE calculation of carbon dioxide+n-alkanes binary mixtures with MHV2 mixing rule

Behzad Khodakarami,Abbas Naderifar 한국화학공학회 2008 Korean Journal of Chemical Engineering Vol.25 No.6

Vapor-liquid equilibria for binary and asymetric systems include carbon dioxide+C1-C8, C10 are calculated by using the Peng-Robinson-Stryjek-Vera equation of state coupled with the modified MHV2 mixing rule. The modified UNIFAC model is used for determining activity coefficient and excess Gibbs free energy. Calculated equilibrium pressures and mole fractions in vapor phase are compared with the experimental data. The average absolute deviation percent (AAD%)s indicates that the error involved in the application of the MHV2 mixing rule by optimized q1 and q2 is less than WS and PRSK mixing rules in most cases.

Effects of Breast Self-Examination Consultation Based on the Health Belief Model on Knowledge and Performance of Iranian Women Aged Over 40 Years

Parsa, Parisa,Mirmohammadi, Ameneh,Khodakarami, Batoul,Roshanaiee, Godratalah,Soltani, Farzaneh Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.8

Background: Breast cancer is the most prevalent malignancy in women worldwide; lack of awareness of symptoms and delay on diagnosis of breast cancer are the main causes of mortality among women. This study was conducted with the purpose of assessing the effect of educational consulting for breast self-examination (BSE) based on the health belief model (HBM) on the knowledge and performance of women over 40 years attending health care centers in Hamadan, Iran. Materials and Methods: In this quasi-experimental study, eligible women admitted to health centers in Hamadan city in 2015 were randomly assigned to intervention and control groups (n=75 in each group). The intervention group received 4 weekly sessions of breast cancer screening consulting based on the HBM. Control group received only routine care. Knowledge, HBM constructs, and BSE practice were compared between the groups before, immediately after and three months after the consultation. Results: Before the intervention, no significant differences were observed in knowledge, health belief and practice between two groups. However, after the intervention a significant difference was observed between two groups in mean scores of perceived benefits, perceived barriers, self-efficacy and the health motivations (p <0.05). Significant differences were also observed in terms of knowledge and BSE practice (p <0.01). Conclusions: The results indicate the importance of consultation on knowledge and beliefs to improve BSE performance and prevention of breast cancer in Iranian women.

A Bayesian network based framework to evaluate reliability in wind turbines

Ashrafi, Maryam,Davoudpour, Hamid,Khodakarami, Vahid Techno-Press 2016 Wind and Structures, An International Journal (WAS Vol.22 No.5

The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.

A Bayesian network based framework to evaluate reliability in wind turbines

Maryam Ashrafi,Hamid Davoudpour,Vahid Khodakarami 한국풍공학회 2016 Wind and Structures, An International Journal (WAS Vol.22 No.5

The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.

A modification of Wong-Sandler mixing rule for the prediction of vapor-liquid equilibria in binary asymmetric systems

Iman Zanganeh,Javad Sargolzaei,Behzad Khodakarami 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.7

Systems consisting of light components and heavy hydrocarbons are highly asymmetric and industrially important. Design and control of facilities for separation and purification of such mixtures require vapor-liquid equilibrium data. Coupling of the cubic equation of state (EOS) with excess Gibbs energy models (EOS/G^ex models) failed to represent the vapor-liquid equilibria (VLE) of such systems accurately. The main purpose of this work is to present a modification of Wong-Sandler mixing rule with using the composition dependent binary interaction parameter. Vaporliquid equilibria for 30 binary systems are calculated using the SRK equation of state with proposed model and Wong-Sandler mixing rule. Calculated pressures and mole fractions of vapor phase are compared with experimental data. The average absolute percentage deviation indicates that error involved in the application of modified Wong-Sandler model is less than Wong-Sandler model in most cases.