Volume 9, Issue 3 (Summer 2021)
Abstract
Aims: Dermatoglyphic is the study of skin patterns on hands and feet. It has been shown in some studies that specific finger patterns could be a risk factor for breast cancer. Thus, this study aims to evaluate fingerprint patterns and other easy-to-obtain features in the risk of breast cancer.
Instrument & Methods: This descriptive study was conducted in 2020. A dataset containing 462 records included female patients in Imam Khomeini Hospital Complex, Tehran, Iran. The factors' weight was determined by the Information Gain index. Predictive models were built once without fingerprint features and once with fingerprint features using Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine, and Deep Learning classifiers. RapidMiner 9.7.1 Software was used.
Findings: The most important factor determining breast cancer were age, having a child, menopause situation, and menopause age. The best performance was the Random Forest model with accuracy and Area under Curve of a Receiver operating characteristic of 84.43% and 0.923, respectively. The fingerprint patterns feature increased the RF accuracy from 79.44% to 84.43%.
Conclusion: An early breast cancer screening model could be built with the use of data mining methods. The fingerprint patterns could increase the performance of these models. The Random Forest model could be used. The results of such models could be used in designing apps for self-screening breast cancer.
Volume 16, Issue 1 (3-2016)
Abstract
Ionic polymer metal composite (IPMC) actuator is a group of electro-active polymer (EAP) which bends in response to a relatively low electrical voltage because of the motion of cations in the polymer network. IPMC has a wide range of applications in robotics, biomedical devices and artificial muscles. The modeling of the IPMC actuator is a multi-physics task as it involves the electricity, chemistry, dynamics and control fields. Due to its complexity and nonlinearity, IPMC modeling is difficult in terms of mathematics and its behavior is still not fully agreed upon by researchers. This paper presents a novel discrete-time model with state-dependent parameters (SDP) for identification of the nonlinear response of an IPMC actuator. A single-input single-output nonlinear identification algorithm is formulated and demonstrated for an IPMC actuator that exhibit both soft and hard nonlinearities. The nonlinear characteristics of the identified system are represented with coefficients which are a function of the input and output states. Following the SDP algorithm, the model is identified from input–output data to represent the model parameters as functions of past inputs and outputs. The proposed modeling approach is validated using an existing model and show exact representation of the non-linear behavior of the IPMC actuator
Volume 22, Issue 1 (Winter 2018)
Abstract
Aims: Glioblastoma multiforme is a type of brain cancers that do not respond well to treatment. The poor prognosis of this disease is due to the presence of radiation resistance and chemotherapy. The purpose of the present study was to produce miR-579 precursor carriers and investigate the effect of increased expression of miR-579 on the expression of BAX and CDKN1A genes in the glioblastoma cell line.
Materials and Methods: In this experimental study, in order to produce recombinant lentiviral vectors, a gene containing the miR-579 precursor sequence was cloned into the plasmid. The recombinant structure was transmitted to the cells of HEK293T with and pMD2 plasmids. Viral particles were concentrated using Ultra Centrifuge. Viral titration was calculated by flow cytometry. The viral particles produced were transferred to the A-172 cell line. Finally, by using Real-Time PCR, changes in expression levels of miR-579 and BAX and CDKN1A genes were investigated.
Findings: The presence of miR-579 gene precursor in the plasmid was confirmed by colony PCR and sequencing methods. The study showed that the level of miR-579 expression in infected cells with the recombinant virus was found to be up-regulated compared to the control group. miR-579 increased the BAX gene expression by three times. But, there was no significant change in the expression of CDKN1A gene expression.
Conclusion: Increased expression of miR-579 in the A-172 cell line could increase the expression of BAX gene. However, the CDKN1A gene expression does not change significantly.
Dr Mohammad Shiri, Dr Parya Torabi Kahlan, Dr Lida Kalhori, Dr Roshanak Aliakbari Saba, Mrs. Tahere Amini,
Volume 23, Issue 1 (Spring 2023 2023)
Abstract
Aim and Introduction
The poverty is not affected only by income level. Some variables such as lack of access to welfare and health facilities, deprivation of education, physical weakness and vulnerability to diseases can be influential factors in poverty. Accordingly, indexes such as the poverty line, the percentage of poor people, and the intensity of poverty, which are used to study of the poverty in the society, do not fully represent the situation of poverty dimensions. Therefore, for measuring poverty in different dimensions, Oxford Poverty and Human Development Initiative in collaboration with United Nations Development Programme introduced the Multidimensional Poverty Index in 2010. This index includes deprivations such as low levels of health, lack of education, inadequate living standards, disability, low quality work, threats of violence, and living in areas with hazardous environments that poor people face in their daily lives. Several researches have been conducted on multidimensional poverty at the national and international levels, which have estimated the multidimensional poverty index using the Alkire-Foster methodological framework. At the same time, the multidimensional poverty of children has been neglected at the national level. This paper aims to study of multidimensional poverty among Iranian children based on the Alkire-Foster methodological framework. The multidimensional poverty of under five children using Multiple Indicator Demographic and Health Survey data in four dimensions of "living standards", "health", "support" and "development" has been measured.
Methodology
The Alkire-Foster methodology has been used for measuring the multidimensional poverty index. For measuring the children multidimensional poverty index (MPI) in Iran, data of the Multiple Indicator Demographic and Health Survey has been used. This survey covers the latest available data on various sociodemographic and health subjects of children, women and men. A comprehensive and new framework for measuring child poverty in Iran has been provided using the indicators of child mortality, cooking fuel, drinking water, sanitation discharge and housing from the global framework. The other indicators such as vaccination index and insufficient care has been extracted from other researches.
Findings
The results show that MPI of children in Iran is equal to 0.002. The incidence of multidimensional poverty is 0.5% and the intensity of child poverty is 38.6%. In general, the results show that girls compared to boys experience more multidimensional poverty and as mothers' education levels increase, children experience less multidimensional poverty. Children who live in large households (5 people or more) experience more multidimensional poverty compared to children who live in small households. Children in developed provinces experience multidimensional poverty less than other children and finally, children under five in the first economic quintile (the lowest economic level of the society) have the highest multidimensional poverty among all households in Iran.
Among children under five whose mothers have primary education, "health" dimension plays the most important role in measuring the multidimensional poverty index. In less developed provinces, the most important factor in mesearunig multidimensional poverty among children under five is "child development" dimension. Also, in households that have a low level of economic and social status (based on economic quintile variable), “child development " and "living standards” are important respectively.
Discussion and Conclusion
The purpose of presenting the Child multidimensional poverty index is to provide understandable and important statistics for clarify level and form of multidimensional poverty. The findings of this study, which was conducted for the first time in Iran, show that although value of the child multidimensional poverty index based on "living standards”, "health", "support" and "child development" is not a large number, however children in social and demographic groups have had encounters with different levels of multidimensional poverty. Considering that the growth and development of the children in the appropriate context is the basis for formation of a healthy and stable family and developed society, it is necessary to make policies in order to reduce the multidimensional poverty of children.
