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RISS 인기검색어
- 검색키워드
- 저자 : Zahra Nikfarjam (검색결과 3 건)
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Nikfarjam, Zahra,Massoudi, Toktam,Salehi, Maryam,Salehi, Mahta,Khoshroo, Fahimeh Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.23
Background: Cancer is a major cause of mortality in developing countries and correct and valid information about the epidemiology of this disease is the first step in the planning of health care in each region. The aim of this study was to determine the relative frequency, mean age and sex ratio of the most 10 common non-skin cancers in the world and Iran, among patients referred to an oncology clinic. Materials and Methods: This descriptive study was conducted in Mashhad, north east of Iran. The data obtained from the records of patients referred to the private oncology center between the years of 1985-2012". According to the latest report of GLOBOCAN study commonest malignancies included were lung, breast, colorectal, prostate, stomach, liver, cervix, esophageal, bladder cancers and Non-Hodgkin lymphoma. Results: A total of 4,606 cases were analyzed. The mean age was $55.5{\pm}13.8years$ (male: $59.5{\pm}13.9$, female: $52.6{\pm}12.9$). Overall, breast cancer (1,264 cases, relative frequency of 27.4%) was the most prevalent cancer; however the mean ages of diagnosis were not significantly different between 5-year time period divisions (p=0.290). The most common cancer in men was esophageal cancer (26.3%).The lowest mean age was related to women diagnosed with breast cancer ($48.5{\pm}11.8$) and men with non-Hodgkins lymphoma ($48.4{\pm}17.8$). There were statistically significant differences between the mean age of men and women with gastric (p=0.003) and esophageal cancers (p<0.001). Male to female sex ratios in our study for bladder, lung and stomach cancers were 6.57, 2.60 and 2.50 respectively. Conclusions: The results showed that breast cancer tends to be found in younger female patients and bladder cancer appears more often in men. Screening in target population in addition to early diagnosis may reduce death and disability.
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Developing a wireless sensor network based on a proposed algorithm for healthcare purposes
Reza Abbasi-Kesbi,Zahra Asadi,Alireza Nikfarjam 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.1
This letter describes a developed wireless sensor network based on a proposed algorithm for monitoring the environmentalparameters in healthcare intentions. This proposed algorithm contains a frame with diff erent packets that are implemented onthe developed wireless sensor network. The developed wireless sensor network consists of one central node as well as foursensor node that has been equipped with various sensors such as temperature, humidity, CO, CO 2 , and passive infrared sensor. In order to test the presented algorithm and the developed wireless sensor network, the sensor nodes are situated in fourdiff erent rooms in a hospital for recording essential parameters of the environment while the central node is put in the nursestation for warning to nurses. The obtained result of the proposed sensor nodes in comparison to gold standards shows rootmean square error 1.1%, 0 .35 ◦C , 0.98% for humidity, temperature and gas, respectively. Also, the obtained results illustratethat the system gives accurate feedback from environmental temperature, humidity, and CO, and CO 2 to the nurse station inorder to increases the possibility of a healthy environment condition for patients.
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Amir Dashti,Farshid Zargari,Hossein Riasat Harami,Amir H. Mohammadi,Zahra Nikfarjam 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.10
Predicting the solubility of acid gases in ionic liquids (ILs), has lately appeared as advantageous for natural gas purifying, which is equipped by powerful models considering technical and economic aspects. Important issue in the assessment of ILs for potential utilization in gas sweetening process is estimating the H2S solubility at various temperatures and pressures Experimental measurements are costly and take considerable time and effort. As a result, proposing methods for predicting the behavior of this system over a wide range of conditions is vital. In this regard, molecular dynamics simulation (MD) technique as well as artificial intelligence knowledge of hybrid genetic algorithmadaptive neuro fuzzy inference system (GA-ANFIS) and an empirical polynomial regression (PR) model were employed to estimate the solubility of H2S in [bmim][PF6] IL. Pressure and temperature are considered as the independent input variables and H2S solubility as the dependent output variable. The results of this study reveal that the simple fourthorder PR model and GA-ANFIS have the highest accuracy. As a result of the simplicity and accuracy of PR model, it can be used without any prior knowledge about MD and artificial intelligence (AI). According to the accuracy and precision of model proved by the obtained result, the solubility of H2S in ILs has been estimated. The results show that the PR method is more trustworthy than other models.
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