The relationship between environmental exposures and hormonal abnormalities in pregnant women: An epidemiological study in Yazd,Iran

Problem

The process of industrialization and lifestyle changes have gradually exposed human ?societies to a larger number of environmental risk factors, which may cause hormonal ?abnormalities and congenital anomalies.

Changing Identities: A Case Study of Western Muslim Converts Whose Conversion Revised Their Relationship to Their National Identity

Few studies explore the impact conversion to Islam has on a Western individual’s social identity configuration. This article focuses on six Western Muslim converts—three from Montreal, two from Berlin, and one from Copenhagen—who experienced difficulties relating to their national identities prior to conversion, exploring how it developed afterwards. A qualitative interview guide was adapted in a semi-structured format to the demands of each individual, and interviews were analyzed applying thematic content analysis. The participants reveal how they revised their social identity configuration upon conversion, ultimately reversing their antagonistic relationship to their national identity. Their narratives relate how political realities are embedded in the perception and development of the Western Muslim identity, necessitating a revaluation of their national identity as a form of social critique. Our results demonstrate how socio-political experiences of discrimination and race are all significantly implicated in the process of conversion and Muslim identity development.     

The lived experiences of becoming a homeless person with addiction in Tehran: how they are withdrawn from the mainstream community?

Understanding the experiences of street addicted people can help clarify the process of engaging people with this social problem. This study aims to discover the challenges of drug-dependent street people by exploring their lived experiences. This study was conducted using content analysis of qualitative interviews with 22 street recruited from within compulsory drug treatment centers in Tehran. Participants were selected through purposive sampling and their experiences of homelessness and addiction were collected through a semi-structured interview. After analyzing the data, three categories and eight sub-categories were determined. The main categories included instability, social distrust, and economic vulnerability. Instability includes experiences such as rejection from their home, street attraction, and avoiding returning home. The social distrust theme consists of experiencing the stigma related to addiction and high-risk behaviors. The economic vulnerability encompasses gradual capital loss and weakening their work status in the context of a weak economic foundation. Dependent drug use added to those isolating experiences leads to weakened family ties, and social and economic interactions and finally results in being disconnected completely from the community mainstream.     

A power log-Dagum distribution: estimation and applications

Development and application of probability models in data analysis are of major importance for all sciences. Therefore, we introduce a new model called a power log-Dagum distribution defined on the entire real line. The model contains many new sub-models: power logistic, linear log-Dagum, linear logistic and log-Dagum distributions among them. Some properties of the model including three different estimation procedures are justified. The model exhibits various shapes for the density and hazard rate functions. Moreover, the estimation procedures are compared using simulation studies. Finally, the model with others are fitted to three data sets, and it shows a better fit than the compared distributions defined on the real line.     

A program to calculate bootstrap confidence intervals for the process capability index Cpk

Franklin and Wasserman (1991) introduced the use of Bootstrap sampling procedures for deriving nonparametric confidence intervals for the process capability index, C_pk, which are applicable for instances when at least twenty data points are available. This represents a significant reduction in the usually recommended sample requirement of 100 observations (see Gunther 1989). To facilitate and encourage the use of these procedures. a FORTRAN program is provided for computation of confidence intervals for C_pk. Three methods are provided for this calculation including the standard method, the percentile confidence interval, and the biased - corrected percentile confidence interval.     

Integration of process planning and production planning and control in cellular manufacturing

Organisations willing to succeed in global competition have to integrate their internal and external processes. This especially includes planning and production control (PPC) processes. Optimised allocation of the production resources and quick response to demand changes result in lower cost and improvement of production performance. Practitioners and researchers have been trying to achieve these goals using production planning techniques. Although the results are significant, it seems necessary to integrate production operations in order to improve the production performance. The goals, information and decisions taken in production planning and control and process planning are often very different and difficult to integrate in Cellular Manufacturing (CM) environments. Designing an efficient PPC system and integrating it with process planning in a cellular environment is of the same importance. The following paper proposes first a comprehensive framework of integrated process planning and production planning and control in CM. Then, with respect to this framework and utilising the domain knowledge in the area of CM systems, an integrated model based on Integrated Definition Modeling Language is developed. The application of the models has been considered as a case study for a production system in electronics and telecommunication sector in a plant in Iran. The validity and completeness of the proposed model is tested by a panel of experts in the areas of production planning and control in CM environments.     

Professionals’ Attitude Toward Reporting Child Sexual Abuse in Saudi Arabia

Child sexual abuse (CSA) requires specialized knowledge and training that includes forensic interview skills. The aim of this study was to determine variations in professionals’ attitudes toward CSA by measuring three aspects of forensic attitudes (sensitivity, specificity, and skepticism) and evaluating disagreements concerning the assessment of CSA cases in Saudi Arabia. A cross-sectional, web-based study, in which the Child Forensic Attitude Scale was used to measure professionals’ attitudes, was conducted. Professionals who dealt with suspected cases of CSA as part of their jobs or were in professions that necessitated involvement with such cases, were selected as participants. Of 327 participants, 53% were aged ≤40 years, and 54% were men. In addition, 24% were doctors/nurses, 20% were therapists/psychiatrists, 24% were social workers, 17% were educators, 9% were law enforcement professionals, and 5% were medical examiners. Attitude subscale scores differed significantly according to participants’ sex, specialty, and training. Women, healthcare professionals, and those who had participated in more than five training courses were more concerned about the underreporting of abuse (high sensitivity) relative to other professionals. In comparison, men, medical examiners, law enforcement officers, and undertrained professionals tended to underreport suspected sexual abuse cases (high specificity). High specificity in attitudes toward suspected cases of CSA could affect professionals’ judgment and contribute to low reporting rates. Certain strategies, including increasing self-awareness of personal bias, specific CSA recognition courses, and team approaches to case assessment and management, should be implemented to control the influence of subjective factors.     

Growth Effects of Remittances in Bangladesh: Is there a U‐shaped Relationship?

This article shows that the effect of remittances on economic growth involves a U‐shaped pattern, which is negative initially but later becomes positive. The analysis differs significantly from earlier studies in that it examines important methodological issues on the specification and estimation of the long‐run growth effects of remittances by estimating their impact on total factor productivity (TFP) rather than on the growth rate of GDP, using time series data from Bangladesh. The use of single‐equation cointegration methods shows that remittances’ effect on long‐run growth in Bangladesh is negative and falling until the remittances‐to‐GDP ratio is roughly eight per cent. The benefits of remittances receipts outweigh their costs and their net effects start to become positive when the ratio exceeds 14 per cent.