On the Order of Nilpotent Multipliers of Finite p-Groups

Let $G$ be a finite $p$-group of order $p^n$. YA. G. Berkovich (Journal of Algebra {\bf 144}, 269-272 (1991)) proved that $G$ is elementary abelian $p$-group if and only if the order of its Schur multiplier, $M(G)$, is at the maximum case. In this paper, first we find the upper bound $p^{\chi_{c+1}{(n)}}$ for the order the $c$-nilpotent multiplier of $G$, $M^{(c)}(G)$, where $\chi_{c+1}{(i)}$ is the number of basic commutators of weight $c+1$ on $i$ letters. Second, we obtain the structure of $G$, in abelian case, where $|M^{(c)}(G)|=p^{\chi_{c+1}{(n-t)}}$, for all $0\leq t\leq n-1$. Finally, by putting a condition on the kernel of the left natural map of the generalized Stallings-Stammbach five term exact sequence, we show that an arbitrary finite $p$-group with the $c$-nilpotent multiplier of maximum order is an elementary abelian $p$-group.Comment: 14 page

Some Notes Towards Degrees of Literariness in Two Persian Translations of Nietzscheʼs Thus Spoke Zarathustra

In recent years, linguists and stylistics experts have become aware of the significance of lexical arrangement as a means of ascertaining and exploring the organization of concepts in the mind. The researchers argue that analyzing lexical items in terms of their literariness and interrelationships in semantic space makes the lexicon of a language doubly meaningful. However, there are not many studies in literary translations focusing on literariness in terms of lexicon on the translated works of Persian literary translators. More specifically, not a single research has been done on aspects of literariness in Nietzsche’s translated works in Iran using the paradigmatic and syntagmatic axes until today.p Therefore, this research is an attempt to contribute to Persian literary translation by providing insights regarding choice of literary words used by the two Persian translators of Nietzscheʼs Thus Spoke Zarathustra. This research revealed that Dariyoush Ashouri not only has had a better choice of literary words, but he has managed to approach Nietzsche’s poetic language in arrangement of the words. Rahim Gholami has employed the common and available words for translation. Consequently, Ashouri’s translation is considered far more literary than Gholami’s translation, because of his wide range of literary words. Keywords: Literariness, Lexicon, Thus Spoke Zarathustra, Jakobson, Nietzsche

Association of M55L and Q192R polymorphisms of paraoxonase 1 gene (PON1) with recurrent pregnancy loss risk: A case–control study

Background: Recurrent pregnancy loss (RPL) refers to the incidence of two or more abortions before the first half of pregnancy. Oxidative stress has been hypothesized to play a central role in RPL. Objective: To investigate the relationship between Q192R and L55M polymorphisms of PON1 as antioxidant enzyme and the risk of RPL. Materials and Methods: In this case–control study, 110 women with RPL (case) and 110 healthy fertile women (control) referred to the Research and Clinical Center for Infertility, Shiraz, Iran were enrolled. Genomic DNA was extracted from the peripheral blood in all participants. Polymorphisms were genotyped by polymerase chain reaction-restriction fragment length polymorphism method. Results: Statistical analysis of Q192R polymorphism showed a significant difference for the RR genotype between the case and control group (OR = 11, CI = 1.39–86.87, p = 0.005) but none for the QR and QQ genotypes. No significant association was observed between the R and Q allelic frequency in the RPL participants compared to the control group (p = 0.53). Also, statistical analysis of the L55M polymorphism for MM genotype in the case group compared with the control group showed a significant difference (OR = 3.59, CI = 0.97–13.30, p = 0.042), but none for the LM and LL genotypes. Conclusion: The findings showed a significant correlation between the Q192R polymorphisms and the L55M PON1 enzyme and RPL in this study population. Key words: Pregnancy, Abortion, PON1, Polymorphism, Recurrent pregnancy loss

Association between hair dye use and cancer in women: a systematic review and meta-analysis of case-control studies

Background: The use of hair dye for cosmetic purposes appears to be increasing worldwide. As 50-80% of women use hair dye throughout their lifetimes, the possible association between hair dye use and cancer is a public health concern. Method: This systematic review was performed by retrieving studies from PubMed, Scopus, WOS, and ProQuest databases. The inclusion criteria were case-control studies evaluating the association between hair dye use and cancer in women. Women with cancer who have used any hair dye were the focus of our study. Results: The present study combined 28 studies, to assess the association between hair dye use and cancer. The pooled odds ratio (OR) of hematopoietic system cancers among those who have generally ever used any type of hair dyes was 1.10 (95% CI:1.01-1.20) in 17 studies. In 11 studies investigating hair dye made before and after 1980 as a risk factor for cancer, the pooled OR for cancer was 1.31(95% CI:1.08-1.59). Likewise, in the 13 studies that evaluated the association of light and dark hair dye with cancer, the risk among those using dark hair dye increased by 9%, compared to non-users (OR=1.09; 95% CI:0.95-1.25). Conclusion: The present study suggests that, although the use of hair dye may increase the risk of cancer among users, a more detailed evaluation is required to assess the type of hair dye use in terms of guidelines and metrics. Keywords: Hair dye; cancer; meta-analysis

Medical Students’ Satisfaction with a Web-based Training Module of Clinical Reasoning

Background: There is a paucity of literature regarding the medical students’ perspectives on web-based training of clinical reasoning. Objectives: This study aimed to describe the implementation of a web-based training course of clinical reasoning for medical students and to evaluate their satisfaction with the program. Methods: This cross-sectional study was conducted at the Tehran University of Medical Sciences in 2018. Fifty internal medicine interns were consecutively enrolled. The study consisted of two phases. The first phase focused on the development of a web-based training module of clinical reasoning. The second focused on evaluating the trainee’s satisfaction with the virtual course. The educational content of the program was prepared by an expert panel and incorporated in a web-based educational tool designed for virtual training purposes. The students’ satisfaction with the virtual course was assessed using a questionnaire. Each item of the questionnaire was scored from 0 (0) to 1.5 (100). The content validity of the questionnaire determined by an expert panel, and its reliability was measured. Results: The mean score of each item of the questionnaire ranged from 77.3 to 85.3 which showed that the participants agreed with the items of the questionnaire. Also, Cronbach’s alpha coefficient was excellent in nine items of the questionnaire, good in four items, and acceptable in three items. The intraclass correlation coefficient was also estimated as 0.98. Conclusions: The participants were satisfied with the web-based training tool for clinical reasoning, used in the present study. The developed questionnaire also showed good validity and reliability for the assessment of trainees’ satisfaction with the web-based training module of clinical reasoning. Keywords: Logic, Distance Education, Assessment, Medical Studen

Can laboratory tests at the time of admission guide us to the prognosis of patients with COVID-19?

Introduction: To enhance the COVID-19 patients’ care and to optimize utilizing medical resources during the pandemic, relevant biomarkers are needed for prediction of the disease’s progression, the current study was aimed to determine the factors that effect on mortality of COVID-19 patients who admitted in Baharloo hospital in Iran. Methods: in the current retrospective study, 56 patients who were died because of COVID-19 infection were randomly selected from those who were admitted to Baharloo hospital. One patient who was diagnosed with COVID-19 and had recovered from it matched with each non-survived patient in the term of age. Laboratory tests of all these patients at the time of admission were recorded and compared. All analyses performed using spss version 22 by considering α:0.05 as a significant level. Results: There was no statistical difference in the age and gender distribution between the two groups (p>0.05). The prevalence of diabetes among survived patients was 37.5% and among non-survived patients was 26.8% and there was no statistical difference between two groups about this comorbidity (p:0.22). Also, there was no statistical difference in the prevalence of hypertension and coronary heart diseases between two groups (p>0.05). Lymphocyte percentage, Blood oxygen level, and platelet (PLT) count was significantly higher in patients who had recovered (P<0.05).         Conclusions: LDH level, Lymphocyte percentage, PLT count, and blood Oxygen saturation have associations with severe forms of COVID-19 infection and can be used as predictors to assess the patients who are suspected of infection with COVID-19 at the time of admission

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated virus with a single-stranded RNA. This virus has one of the largest RNA genomes and is approximately 120 nm. The X-Ray and computed tomography (CT) imaging modalities are widely used to obtain a fast and accurate medical diagnosis. Identifying COVID-19 from these medical images is extremely challenging as it is time-consuming, demanding, and prone to human errors. Hence, artificial intelligence (AI) methodologies can be used to obtain consistent high performance. Among the AI methodologies, deep learning (DL) networks have gained much popularity compared to traditional machine learning (ML) methods. Unlike ML techniques, all stages of feature extraction, feature selection, and classification are accomplished automatically in DL models. In this paper, a complete survey of studies on the application of DL techniques for COVID-19 diagnostic and automated segmentation of lungs is discussed, concentrating on works that used X-Ray and CT images. Additionally, a review of papers on the forecasting of coronavirus prevalence in different parts of the world with DL techniques is presented. Lastly, the challenges faced in the automated detection of COVID-19 using DL techniques and directions for future research are discussed

Preparing Medical Students to Become Effective Tutors: A Reaction, Learning and Behavior Evaluation Study

Background We investigated three specific research purposes: (1) To assess the performance of tutors in guiding problem-based learning groups after participating in the tutor training program (TTP); (2) to examine the differences between tutors’ performance in related factors, including the tutors’ gender and education level; (3) to determine the tutors’ reaction to and learning from TTP. Methods This mixed method, concurrent triangulation study was carried out at Tehran University of Medical Sciences, School of Medicine in 2015. The participants included 22 students of medicine as tutor and 240 newly admitted students as tutee. After training, each tutor was assigned to a group of 10 members (a total of 22 groups) (n = 240) at a PBL session. Based on the Kirkpatrick's model, the tutors’ reaction to and learning from the TTP were evaluated using a peer evaluation form. Furthermore, utilizing the field note record form, their performance was recorded by an expert external observer. Results There was no evidence of difference in tutors’ performance between men and women. The median was 13.37 (13.16 - 13.90) for men and 13.40 (12.37 - 13.48) for women, P = 0.89. We found no difference in tutors’ performance based on the level of education using the Kruskal- Wallis test (χ2 = 1.84, DF = 2, P = 0.39). Analysis of the field notes showed 4 main themes. Conclusions The performance of men is as good as women in tutoring. Furthermore, junior students perform the same as senior students. Four main themes of tutors’ performance in PBL session were “helping to learn how to apply basic science”, “deep learning enhancement”, “group dynamics creation” and “interest in the field of education”

Career Success: The effects of career anchor-job fit, psychological contract fulfillment and Perceived organizational support on career success

This research  related to effects of  different forms of person-environment fit  on behaviors and work outcomes , demonstrated that career anchor- job fit positively related to career success. Furthermore the moderator role of psychological contract fulfillment and perceived organizational support help for more clearness this relation and better understanding of career success predictors. This research via mix of qualitative and quantitative methods recognizes a new dimension of career anchor, that contributes in promotion of knowledge for career anchor theory. This research with mix approach uses from qualitative interviews and questionnaire. The Respondents of research includes employees of information technology (IT) and financial departments in three Iranian public banks. The results of research recognize a new dimension of career anchor as “halal income earning”. This dimension was not recognized and discussed in other researches. Keywords: Career anchor, Career success, Fit theory, Perceived organizational support, Psychological contract, Bank