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
The widespread use of the Internet of things (IoT) in different aspects of an individual’s life like banking, wireless intelligent devices and smartphones has led to new security and performance challenges under restricted resources. The Elliptic Curve Digital Signature Algorithm (ECDSA) is the most suitable choice for the environments due to the smaller size of the encryption key and changeable security related parameters. However, major performance metrics such as area, power, latency and throughput are still customisable and based on the design requirements of the device.
The present paper puts forward an enhancement for the throughput performance metric by p
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