Multiple Migration and Use of Ties: Bangladeshis in Italy and Beyond

This article analyses previous multiple migratory trajectories of Bangladeshi first generation migrants before their arrival in Italy and within Italy. It also uncovers the role of social networks and transnational ties in their multiple migrations. The findings show that their first international migration was mainly shaped by their family’s socio-economic condition and transnational kinship networks. They already had someone from their family or close relatives in the preferred country with whom they were connected. Their onward relocations until arriving in Italy, in most cases, was to achieve the socio-economic success and legal status that they had failed to attain in their first and subsequent destinations, but the transnational connections with friends or acquaintances are a key resource facilitating these remigrations. Bangladeshis who arrived in Italy from various countries mostly had networks, either with someone from their local district in Bangladesh or with their earlier fellow migrants who moved to Italy before them.     

HIV prevention barriers in transgender women: a qualitative study

Abstract

Sexual contact is still one of the most important routes of HIV transmission. The aim of this study was identify the factors that underlie the higher prevalence of high-risk sexual behaviors in a sample of transgender women in Iran. The qualitative study used face-to-face, semi-structured, in-depth interviews in a sample of 15 transgender women. Our participants used sexual practices as a way to be approved/accepted as a woman. Using sex for this purpose led them to engage in high-risk sexual relationships. It is essential to consider these issues in consulting and education about high-risk behaviors.     

The study of scientific map and thematic structure of social work

This study investigated the scientific map and thematic structure of Social media. It is a scientometrics research, using quantitative method and citation analysis. In order to draw a scientific map of the research literature in the field of Social media, the data were extracted from the Web of Science database within a specified time period. The retrieved records were formatted using WC10.exe conversion software and were then mapped using VOSviewer software. The findings revealed a growing trend in the number of articles published in the field of Social media, and this number increases on an annual basis. The most widely used subject areas in the field of Social media were identified. High‐frequency keywords such as Social media, education, sociology, social justice, women studies, and psychiatry are the newly emerging and active concepts in this field. Regarding the widely used subject areas in the field of Social media, it was noted that the two areas of Social media and education are ranked first and second as the most frequently used terms. In this study, by the conceptual map found in the field of Social media, it can be concluded that the concepts are highly interconnected. Furthermore, by the interconnectivity and closeness of centrality measures of social concepts illustrated in the provided map, it can be argued that the highest values are attributed to the subject areas of Social media and education.     

The effect of COVID-19 lockdown and the subsequent reopening on consumption in Iran

Review of Economics of the Household - We use country-wide data on all electronic payments in point-of-sale (POS) and online terminals of Iran to study the change in the pattern of consumption and...     

BOUNDS ON THE BIAS OF WINSORIZED MEANS

This paper provides sharp upper bounds on the bias of the Winsorized mean as an estimator of the population mean in a nonparametric setting. The resulting bounds are numerically evaluated. Further, the probability distributions attaining the bounds are determined.     

Estimation of bivariate characteristics using ranked set sampling

The superiority of ranked set sampling (RSS) over simple random sampling (SRS) for estimating the mean of a population is well known. This paper introduces and investigates a bivariate version of RSS for estimating the means of two characteristics simultaneously. It turns out that this technique is always superior to SRS and the usual univariate RSS of the same size. The performance of this procedure for a specific distribution can be evaluated using simulation or numerical computation. For the bivariate normal distribution, the efficiency of the procedure with respect to that of SRS is evaluated exactly for set size m = 2 and 3. The paper shows that the proposed estimator is more efficient than the regression RSS estimators proposed by Yu & Lam (1997) and Chen (2001). Real data that consist of heights and diameters of 399 trees are used to illustrate the procedure. The procedure can be generalized to the case of multiple characteristics.     

Unbiased estimators for restricted adaptive cluster sampling

In adaptive cluster sampling the size of the final sample is random, thus creating design problems. To get round this, Brown (1994) and Brown & Manly (1998) proposed a modification of the method, placing a restriction on the size of the sample, and using standard but biased estimators for estimating the population mean. But in this paper a new unbiased estimator and an unbiased variance estimator are proposed, based on estimators proposed by Murthy (1957) and extended to sequential and adaptive sampling designs by Salehi & Seber (2001). The paper also considers a restricted version of the adaptive scheme of Salehi & Seber (1997a) in which the networks are selected without replacement, and obtains unbiased estimators. The method is demonstrated by a simple example. Using simulation from this example, the new estimators are shown to compare very favourably with the standard biased estimators.     

How a Divorcee’s Sexual Life Is Socially Constructed and Understood in the Iranian Culture

Sexual well-being is an important factor in postdivorce adjustment and presents various challenges for divorced women in Iran. With an alarming number of marriages ending in divorce in Iran, the postdivorce sexuality adjustment process has become a major concern. Meanings attached to the sexuality of a divorcee necessitate different adjustment and coping strategies among women. How these meanings are generated, negotiated, and modified in Iranian contexts has yet to be explored. We used a grounded theory approach to analyze the extensive, rich data obtained through sustained interaction with the informants as well as through in-depth individual interviews and focus group discussions. “Sociosexual problems” was found to be one of the main domains in our study. Participants experienced a negative impact from divorce on their sexual lives, including sexual interactions. Social isolation and social exclusion resulted from the avoidance of stereotypic interactions and were often a consequence of difficulties with concealment of sexual needs due to stigma. Women discussed a range of negative experiences arising in response to their sexual needs in postdivorce life. The analysis revealed the complexities of gendered postdivorce sexual trajectories. Based on the findings, articulating a sexual health model specific for divorced women seems important.     

Pitman closeness of record values from two sequences to population quantiles

Suppose upper records from two independent sequences from iid continuous random variables from the same distribution are observed. Pitman's measure of closeness of these statistics to population quantiles of the parent distribution is studied and various exact expressions are derived. For symmetric distributions, Pitman closeness probabilities of records to median are also obtained. Examples including exponential and uniform distributions are discussed. Numerical evaluations are presented to illustrate all the results developed here.