Breast cancer is the most common cause of death among women worldwide (1)
. Breast self-exam (BSE) is considered
an important public health procedure; primary prevention should be given the highest priority in the fight against
cancer.
Cancer is considered the second leading cause of death in developed countries there was some 6.2 million cancer
related deaths, accounƟng for 12% of all deaths globally (5).Patients perception toward this disease and preference
concerning the types and aims of their treatment are vary they may loss hopes and become devastated and crippled
or even dies earlier, if told about the diagnosis (13). The study aimed to assess knowledge of female students regarding
BSE, and to find out relationship between sociodemographic variables and breast self-exam.
One hundred of female students from, Medical technical institute in the first and second class were selected to
participate in the study. The questionnaire was designed for data collection. The data were collection from January 1
st
,
2010 to March 20th
, 2010.
The questionnaire it consists of two parts related to sociodemoraphic characteristics for study sample, and female
student's knowledge about breast self exam. The study revealed that female student's knowledge about breast selfexam
was reported poorly, and there were no significant differences among study sample about. The study revealed
that female students' knowledge about breast self-exam was reported poorly according to their age, marital status,
and economic status.
The study recommended to emphasizing to curriculum of Medical Technical Institute and should be included breast
cancer knowledge and prevention, and Implementation of health education program for female students to raise
breast cancer knowledge and awareness among female students
Iron is one of the abundant elements on earth that is an essential element for humans and may be a troublesome element in water supplies. In this research an AAN model was developed to predict iron concentrations in the location of Al- Wahda water treatment plant in Baghdad city by water quality assessment of iron concentrations at seven WTPs up stream Tigris River. SPSS software was used to build the ANN model. The input data were iron concentrations in the raw water for the period 2004-2011. The results indicated the best model predicted Iron concentrations at Al-Wahda WTP with a coefficient of determination 0.9142. The model used one hidden layer with two nodes and the testing error was 0.834. The ANN model coul
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