مجله دانشکده پزشکی اصفهان
پیاپی 583 (هفته سوم شهریور 1399)

Cervical cancer is one of the most common cancers among women worldwide, which can be diagnosed more quickly via using digital systems. The purpose of this study was to classify the cells in Pap smear test images into two types of normal and abnormal by using image processing to diagnose cervical cancers.

We used Herlev public database, which contained 917 cells. 35 geometric and 263 histologic features such as Gray Level Co-Occurrence Matrix (GLCM), Local Binary Pattern (LBP), and rotational gradient histogram were extracted from cell images. T test filter method was applied on the data set after extraction of geometrical and textural features. We used different classification methods such as support vector machine (SVM), decision tree (DT), k nearest neighbor (KNN) and ensemble classifiers.

The best results were for SVM classifier as 97.5% accuracy in two-class classification with 20 features.

Feature selection and feature extraction methods are very important for classify normal and abnormal cervical cell images. By optimizing and choosing the right methods, we can optimizing accuracy, and speed and error (2-3 percent).

Clinical education and providing feedback are the most important criteria of vocational education in order to consolidate students' learning. Since evaluation of clinical teaching environment with using a suitable tool plays an important role in enhancing students' motivation and learning, so this study aimed to provide a localized tool for examining feedback environment in clinical field in medical assistant students of Isfahan University of Medical Sciences, Iran.

This cross-sectional instrumental study was conducted in two phases in the academic year of 2017- 2018. Firstly, the Stellman et al. Feedback Environment Scale tool which was developed for the work environment, and was the theoretical basis of this study was translated into Persian through the "forwardbackward" method. Secondly, the content validity of the questionnaire was assessed quantitatively [content validity ratio (CVR) and content validity index (CVI) and qualitatively, the face validity of the questionnaire was assessed using quantitative and qualitative methods, and reliability was calculated by Cronbach's alpha; then, the data were analyzed using SPSS software.

All the questions in the questionnaire were within acceptable range in terms of quantitative content validity index (CVR and CVI) and quantitative face validity [impact score (IS)], and Cronbach's alpha coefficient of this study was 0.861.

The findings showed that the Persian and localized version of the Stilman et al. questionnaire had good validity and reliability, and could be used for evaluating feedback environment in clinical practice among medical assistant students

Nowadays, infertility is one of the most common problems in the world. Statistics show that about 20.2% of Iranian couples are infertile, which is higher than the global average (12-15 percent); and according to the reports, 70% of these disabilities had male factors. New approaches are available to diagnose male infertility problems; one of them is the study of nuclear receptors. Peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors belonging to the nuclear hormone receptor super family that have been implicated in energy homeostasis, and modulate lipid and glucose metabolism. Although several studies have been confirmed the pivotal roles of these receptors on fatty acid metabolism and female fertility, fewer information exist on PPARs roles in male fertility. Thus, in this review, we at first illustrated the role of PPARs in reproductive tissues. Then, specific studies on the effect of these receptors and their ligands in male reproductive tissues were described. Regarding the crucial role of sperm metabolism and producing sufficient energy for sperm motility in male fertility, the regulation of PPARs expression, particularly the PPARγ isotype on spermatogenesis and sperm movement parameters were investigated, in the following. It seems that the study of these receptors and their role in sperm metabolism, may afford novel research opportunities for the recognition of these receptors and their interactions with other nuclear receptors role in male infertility disorders imputable to metabolic diseases such as obesity and diabetes.