Portrayal of Muslims Following the Murders of Lee Rigby in Woolwich and Mohammed Saleem in Birmingham: A Content Analysis of UK Newspapers

In 2013, Michael Adebolajo and Michael Adebowale murdered a British soldier, named Lee Rigby in Woolwich, south-east London. In the aftermath of the incident, evidence showed Muslims had become targets for a rise in anti-Muslim hate crimes.¹1. ACPO, “True Vision Records”, 2013. Available at: http://www.reportit.org.uk/true_vision_records_a_significant_weekly_reduct (accessed 2 September 2014).View all notes Most notably, mosques had been reported to have been burnt down and graffiti with messages of hate scrawled against the walls. In such times, the role of the media is crucial in projecting a balanced approach. This study analysed newspaper coverage three weeks from the Woolwich attacks and examined the language and headlines used to describe Muslims. Over 1022 articles from UK newspapers were reviewed using the Nexis database utilising both quantitative and qualitative methods to examine the media narrative regarding Muslims and also make a comparative analysis of how the media reported on the case of Mohammed Saleem who was murdered by the far right extremist, Pavlo Lapshyn. The newspaper articles were analysed by using the computer software NVivo to search for and identify patterns across the articles in order to give an idea of the most frequent ways that Muslims were being portrayed. This paper found that news coverage had generalised about Muslims which was made in an overtly prejudicial way.     

An islamic perspective for strengths-based social work with muslim clients

This paper examines the Islamic concept of fi?ra or ‘original purity’ in relation to the strengths perspective in social work as a basis to guide religious and culturally appropriate services to Muslim clients. Both fi?ra and the strengths perspective presuppose a positive view of humankind; people are viewed as resilient and capable of growth and development, albeit in respective Islamic and secular systems, these outcomes are towards different ends. In Islam, growth and development links to the self but, ultimately, also to one's relationship with God. In secular social work systems, individual effort and the ability to overcome adversity and become whole are key and need not necessarily be linked to a God. This paper assesses the concept of fi?ra in relation to the strengths perspective to determine a religious and culturally appropriate equivalent for working with Muslim clients within the broader context of multicultural practice.     

Optimal stopping for Brownian motion with applications to sequential analysis and option pricing

Herman Chernoff made fundamental contributions to analytical and computational methods for solving optimal stopping problems for Brownian motion. He also showed how these optimal stopping problems are closely related to some basic problems in sequential analysis and singular stochastic control. This paper gives a survey of these and related developments and describes some recent applications to option valuation in financial economics.     

Learning from tradition: the planning of residential neighborhoods in a changing world

This paper analyses the community values of residential neighborhoods in the southwestern region of Saudi Arabia as an approach to a new theory in urbanism. The indigenous masterbuilders and tribemen incorporated planning decisions pertinent to climatic, cultural, social, economic and religious factors when designing physical elements in their built environment. This is what makes every traditional settlement in the southwest region of Saudi Arabia unique in terms of urban form and social structure. As a step to examining and evaluating the process of residential neighborhood development, three stages of practiced urbanism are discussed. These stages are labelled “vernacular”, “transitional” and “new vernacularism”. These are planning concepts used worldwide in the development of residential neighborhoods throughout history until the present. “New Vernacularism” is envisioned in this investigation as a design/planning objective implemented in most recently planned neighborhoods in Al-Horaidhah, Southwest Saudi Arabia. The achievement of successful urbanism underlies the political goals of urban planning practice. The Al-Horaidhah planning concept is conceived in the light of preservation of community values in neighborhood design/planning as a critical issue.The paper aims to investigate and reconcile the conflicts in the planning of residential neighborhoods in a changing world. The conflicts are restricted between retaining traditions of architecture, urban design and planning with the necessary social, economic, and technological changes in urban formation, mainly, the vernacular and modern. The paper illustrates the concept “New Vernacularism” by presenting Al-Horaidhah scheme as a model for community development in three administrative regions along the Red Sea coastline. “New Vernacularism” as a planning concept looks at the community development in Al-Horaidhah in the light of Sharicah, the Islamic Law and Customary norms by emphasizing the importance of the involvement of local residents in the planning process and gives suggestions of how this might best be achieved and later implemented into new communities.     

Bayesian variable selection with strong heredity constraints

In this paper, we propose a Bayesian variable selection method for linear regression models with high-order interactions. Our method automatically enforces the heredity constraint, that is, a higher order interaction term can exist in the model only if both of its parent terms are in the model. Based on the stochastic search variable selection George and McCulloch (1993), we propose a novel hierarchical prior that fully considers the heredity constraint and controls the degree of sparsity simultaneously. We develop a Markov chain Monte Carlo (MCMC) algorithm to explore the model space efficiently while accounting for the heredity constraint by modifying the shotgun stochastic search algorithm Hans et al. (2007). The performance of the new model is demonstrated through comparisons with other methods. Numerical studies on both real data analysis and simulations show that our new method tends to find relevant variable more effectively when higher order interaction terms are considered.     

Using ranked set sampling with binary outcomes in cluster randomized designs

We study the use of ranked set sampling (RSS) with binary outcomes in cluster-randomized designs (CRDs), where a generalized linear mixed model (GLMM) is used to model the hierarchical data structure involved. Under the GLMM-based framework, we propose three different approaches to estimate the treatment effect, including the nonparametric (NP), maximum likelihood (ML) and pseudo likelihood (PL) estimators. We investigate their asymptotic properties and examine their finite-sample performance via simulation. Based on these three RSS estimators, we further develop procedures for testing the existence of the treatment effect. We examine the power and size of our proposed RSS tests and compare them with existing tests based on simple random sampling (SRS). All the proposed RSS estimation and test methods are illustrated with two data examples, one for rare events and the other for non-extreme events. Throughout our investigations, we also consider the possible effect of imperfect ranking. Among the proposed methods, we provide recommendations on whether to use RSS rather than SRS with binary outcomes in CRDs and, if yes, when to use which RSS method. The Canadian Journal of Statistics 48: 342–365; 2020 © 2019 Statistical Society of Canada     

Design and Assessment Methodology for System Resilience Metrics

By providing objective measures, resilience metrics (RMs) help planners, designers, and decisionmakers to have a grasp of the resilience status of a system. Conceptual frameworks establish a sound basis for RM development. However, a significant challenge that has yet to be addressed is the assessment of the validity of RMs, whether they reflect all abilities of a resilient system, and whether or not they overrate/underrate these abilities. This article covers this gap by introducing a methodology that can show the validity of an RM against its conceptual framework. This methodology combines experimental design methods and statistical analysis techniques that provide an insight into the RM's quality. We also propose a new metric that can be used for general systems. The analysis of the proposed metric using the presented methodology shows that this metric is a better indicator of the system's abilities compared to the existing metrics.     

Effective International Tourism Management: A Strategic Approach

The objective of the study was to explore the relationship between international tourism indicators, crime rate, and vulnerability in a panel of 16 tourist-oriented countries over the period of 1990–2014. The study constructed a vulnerability index by using three socioeconomic factors, (1) poverty, (2) income inequality, and (3) unemployment rate. The results show that crime rate and vulnerability both decreases international tourism demand, which were mediated through inadequate education and health resources. Trade openness moderately supported the international tourism demand under the crime rate and vulnerability index. The results confirmed the crime Kuznets curve that turned into inverted U-shaped relationship between crime rate and per capita income, while this relationship was not confirmed for vulnerability index. The panel causality relationships confirmed the unidirectional causality between crime-vulnerability and international tourism. Growth-fueled tourism demand was analyzed under a crime and vulnerability index. The study concludes that international tourism is an implied solution to reduce human costs by involving tourists to in pleasure activities to at tourists’ destinations.     

Determinants of state long-term debt: The political market framework

Because it focuses on the moderating role of political institutions – which emphasize equilibrium policy outcomes under different institutional arrangements derived from the interaction of policy supply and demand – the political market framework provides useful insights for analyzing the determinants of state long-term debt. Thus, different types of state political institutions should affect the degree of long-term debt in terms of specific demands and supply. Despite the numerous studies that have either applied the political market approach to local governments in policy areas or have analyzed the determinants of long-term debt from only a financial management perspective, few studies have applied the political market framework to state governments. Thus, adopting a state financial management perspective and conducting a panel data analysis using state data from 1980 to 2014, this study identifies the reasons why state governments act on long-term obligations in terms of the political market framework. This study also aims to expand the application of the political market framework to state governments and to integrate determinants of state long-term indebtedness.     

A proportional hazards regression model with change-points in the baseline function

In this article, we consider a new regression model for counting processes under a proportional hazards assumption. This model is motivated by the need of understanding the evolution of the booking process of a railway company. The main novelty of the approach consists in assuming that the baseline hazard function is piecewise constant, with unknown times of jump (these times of jump are estimated from the data as model parameters). Hence, the parameters of the model can be separated into two different types: parameters that measure the influence of the covariates, and parameters from a multiple change-point model for the baseline. Cox??s semiparametric regression can be seen as a limit case of our model. We develop an iterative procedure to estimate the different parameters, and a test procedure that allows to perform change-point detection in the baseline. Our technique is supported by simulation studies and a real data analysis, which show that our model can be a reasonable alternative to Cox??s regression model, particularly in the presence of tied event times.