Reordering Public and Private in Iranian Cyberspace: Identity,Politics, and Mobilization

The capacity of cyberspace to bypass some of the spatial divisions that underpin social inequality endows it with political significance. This article examines some of the ways in which cyberspace has contributed to redrawing the boundaries between public and private and some of the consequences of this for people, things, and ideas in Iran and the Iranian diaspora. It shows how cyberspace influences a wide range of political phenomena including political mobilization and censorship, intergenerational communication, identity formation, sexuality, sense of belonging, and forms and location of symbolic capital. The relationship between net users in the diaspora and cyberspace involves a circuit of reorderings of one's understanding of the diaspora, one's contact with it in cyberspace, of one's own ideas on the basis of what one finds there, and of social relationships established and maintained in cyberspace. Paradoxically, the very richness and diversity of the ideas and opinions found in Iranian cyberspace may undermine the idea of there actually being a single Iranian diaspora.     

On a nonlinear Birnbaum–Saunders model based on a bivariate construction and its characteristics

Abstract

The Birnbaum-Saunders (BS) distribution is an asymmetric probability model that is receiving considerable attention. In this article, we propose a methodology based on a new class of BS models generated from the Student-t distribution. We obtain a recurrence relationship for a BS distribution based on a nonlinear skew–t distribution. Model parameters estimators are obtained by means of the maximum likelihood method, which are evaluated by Monte Carlo simulations. We illustrate the obtained results by analyzing two real data sets. These data analyses allow the adequacy of the proposed model to be shown and discussed by applying model selection tools.     

New control charts for simultaneous monitoring of the mean vector and covariance matrix of multivariate multiple linear profiles

Simultaneous monitoring of the mean vector and covariance matrix in multivariate processes allows practitioners to avoid the inflated false alarm rate that results from using two independent control charts. In this paper, we extend exponentially weighted moving average semicircle and generally weighted moving average semicircle control charts to monitor the mean vector and covariance matrix of multivariate multiple linear regression profiles in Phase II simultaneously. These new control charts are compared with the existing control charts in the literature in terms of the average run length criterion. Finally, a case is considered to show the application of the proposed charts.     

Self-Starting control charts for monitoring logistic regression profiles

In some applications, quality engineers cannot monitor the processes at the beginning of the production process. Because the process parameters are unknown and there are not enough initial samples to estimate the process parameters. Self-starting control charts are applied to monitor processes at the start-up stages with no enough initial samples. In this paper, we propose three self-starting control charts to monitor a logistic regression profile which models the relationship between a binomial response variable and explanatory variables. Also, we compare the proposed control charts with each other through simulation studies in terms of average run length (ARL) criterion.     

The free movement of people around the world would be Utopian: IUAES World Congress 2013: Evolving Humanity,Emerging Worlds, 5–10 August 2013

This article contains the text and discussion of a debate held at the IUAES World Congress in Anthropology at Manchester University in 2013. The motion was proposed by Bela Feldman-Bianco (State University of Campinas), seconded by Noel Salazar (University of Leuven) and was opposed by Shahram Khosravi (Stockholm University), seconded by Nicholas de Genova (then at Goldsmiths’ College). The debate was chaired by Simone Abram (Durham University).     

Examining the effect of the computer-based educational package on quality of life and severity of hypogonadism symptoms in males

Objective: The objective of this study was to determine the effect of the computer-based educational package on men’s QoL and the severity of their hypogonadism symptoms.

Methods: A quasi-experimental study was conducted on 80 male employees. The data collection tool included the ‘Aging Male Symptoms’ (AMS) and ‘Short Form-36’ (SF36) questionnaires. Four sessions were held for the intervention group over a period of 4 weeks. Two months after training, QoL and the severity of hypogonadism symptoms were measured in both the intervention and control groups. The data were analyzed with SPSS 22 software and statistical tests, such as χ², independent t-test, Fisher’s exact test, and paired t-tests.

Results: Significant statistical changes were observed in the intervention group before and 2 months after the training in the QoL score in the overall dimensions of physical–psychological health and all its domains except for three domains of emotional role, social function, and pain. Furthermore, the paired t-tests showed significant differences between 2 months before and after the training in all the domains and the overall hypogonadism score in the intervention group.

Conclusions: Based on our findings, the computer-based educational package has a positive effect on QoL and reduction of hypogonadism symptoms.     

Phase I risk-adjusted control charts for surgical data with ordinal outcomes

In recent years, risk-adjusted control charts that account for the preoperative risk of patients have been widely used for monitoring of surgical outcomes. Generally, risk-adjusted control charts have been developed on the basis of a binary classification of surgical outcomes. However, for a patient who survives an operation, it is reasonable to consider different grades of recovery in an ordinal manner. On the other hand, Phase I monitoring of risk-adjusted control charts has been neglected. Hence, in this paper, a general Phase I risk-adjusted control chart is proposed to monitor ordinal outcomes of surgical outcomes. The proposed risk-adjusted model is developed on the basis of proportional odds logistic regression models. The application of the proposed model is illustrated by analyzing the data in a case study and its performance is evaluated using a Monte Carlo simulation study.