Giving Muslim girls ‘a voice’: the possibilities and limits to challenging patriarchal interpretations of Islam in one English community

This paper presents the philosophies and practices of ‘Laura’, a young English community liaison worker and former religious studies teacher who has recently converted to Islam. Drawing on data generated from a qualitative and predominantly interview‐based research project that investigated issues of pedagogy and social justice in English schools, the focus is on Laura’s efforts to support Muslim girls through an Islamic discussion group. The paper highlights how Laura draws on Islamic beliefs to support the girls’ questioning of patriarchal interpretations of Islam within their Pakistani immigrant community. The paper also provides insight, however, into some of the tensions and limitations of Laura’s liberatory approach in terms of her positioning as white, western, and middle‐class. Against this backdrop, a self‐reflexive approach that is sensitive to how ‘ethnic‐specific sociability’ shapes understandings and enactments of gender is advocated. Such an approach is presented as central in considering how spaces of gender justice might be mobilised within community environments where unprecedented levels of multi‐cultural fragmentation and diversity have amplified tensions and conflict between and amongst racial and religious groups.

Islamism and political violence in the new world order

In the wake of the September 11 and subsequent terrorist attacks, the academic and media commentaries on 'Islam the religion' and 'Islam the basis for political ideology' has received an unprecedented high level of attention. This book deals with such questions as the nature of Islamism, the impact of the 'war on terror' on militancy, and more.

Diminishing and negative welfare returns of economic growth : an index of sustainable economic welfare (ISEW) for Thailand

Thailand has achieved remarkable levels of economic growth over the last three decades. This sustained economic growth has played a major role in reducing absolute poverty levels from nearly one third of the population in 1975 to presently less than 10%, thus increasing the welfare of many Thais. This performance ranks Thailand as one of the world's most successful economies during this period. However, an increasing number of studies have begun to find that at a certain point achieving economic growth stops improving welfare and actually begins to diminish it due to the hidden and traditionally unreported costs of associated with this growth. With one exception, these new studies have focussed on high-income countries. This study will estimate an index of sustainable economic welfare (ISEW) for a developing country, Thailand, over a 25-year period, 1975–1999. This paper concludes that even low–middle income countries are beginning to approach the point in which economic growth produces both diminishing and, at times, negative welfare returns as the costs of achieving economic growth begin to outweigh the benefits. These results are important for policy makers and highlight the importance of implementing alternative welfare enhancing interventions that must be considered in place of simply achieving economic growth. The emphasis of this paper is not on the methodology of estimating the ISEW for Thailand, but rather on the policy implications for developing countries of diminishing and negative welfare returns brought about through the achievement of economic growth.

Measuring Australia's well-being using hierarchical needs

A new approach to well-being measurement is presented in this paper based on multidimensional hierarchical human needs and motivation. This paper empirically applies this new measure of well-being to Australia for the period 1985–2000. This hierarchical approach is underpinned by a rigorous psychological theory of human motivation. Hierarchical human needs are classified into five categories. Eight indicators have been chosen to reflect these categories. A composite indicator of these eight indicators is calculated. This paper concludes that it is necessary to consider multidimensional human needs and motivation when analysing and seeking to improve well-being through economic and social development activities.

Economic growth and sustainability - an empirical study of the Thai development experience

Increasing economic growth has long been the dominant position within the public policies of all South East Asian countries. More recently, a new issue, sustainability, has emerged within development economic literature, which has significant implications for the continual pursuit of economic growth. Sustainability is concerned with ensuring the current generation meets their present needs without threatening future generations' ability to do likewise. This ability is dependent on a healthy and functioning socio-economic environmental (SEE) system. Economic growth can damage the SEE-system, though, through resource degradation, over-harvesting and pollution. Therefore, achieving economic growth and sustainability simultaneously may not be possible. This paper discusses these tensions between economic growth and sustainability by undertaking a number of SEE-based adjustments to GDP in order to measure sustainability. Thailand is used as a case study for a 25 year period, 1975-1999. The adjustments include the environmental costs caused by economic growth such as noise pollution, water pollution, the depletion of non-renewable resources, and deforestation. The results show a stark difference in terms of GDP per capita and the SEE-adjusted GDP per capita figure. The paper concludes that with increasing environmental costs of economic growth, pursuing high growth objectives without considerations to the environment threatens sustainability

The relationship between national income and health : a new measure applied to Bangkok

The importance of good health of a population is crucial when determining social welfare. A new health-adjusted national income indicator that explores the relationships between economic growth, health and social welfare in Bangkok, Thailand from 1975 to 1999 is applied. This new approach to social welfare analysis is based on normative social choice theory, cost–benefit and systems analysis and is called (new)3 welfare economics. This paper argues that traditional measures of welfare, such as national income, fail to reflect accurately the impact of health on social welfare.

Measuring social welfare: application of social choice theory

This paper questions conventional approaches to measuring social welfare through gross domestic product (GDP). This paper is divided into two parts. The first part adopts a systems approach to development and incorporates this into the theory of social choice. The second part operationalises this approach through the development of a cost-benefit adjusted gross domestic product (CBAGDP) social welfare function, which overcomes certain limitations of this traditional measure of development. The CBAGDP is then used to estimate welfare in Thailand. This approach is justified because of its normative values and its plausible results.

A theoretical framework of analysis of accounting propensity in different religions

“Can accounting practices be analyzed in a religious system of beliefs framework?”- this paper discusses and develops a theoretical framework for answering the question based on Hofstede and Gray’s model and an analysis of accounting practices in an Islamic agenda. The paper has three purposes. First, it analyses Hofstede and Gray’s model of accounting practices derived from a cultural framework including authority, measurement, enforcement and disclosure. Then, it is argued that Hofstede’s cultural values drive to depict the Islamic societal values by referencing Holy books verses of Muslim; Koran. Third, the study utilizes the Islamic societal values by applying Gray’s model to develop a theory for determining Islamic accounting practices. The model developed here provides a reasonably sound explanation of how religion as one cultural factor affects accounting practices in different societies. In examining Islam as one of the influential religions in the world, the paper reasons that Islamic accounting configuration attends to statutory control in accounting authority, moderate in disclosure of financial information, uniformity in using accounting methods and principles, and optimism in regard to accounting measurements.

Performance analysis of algorithms for frequent pattern generation

Data mining refers to extracting or "mining" knowledge from large amounts of data. It is also called a method of "knowledge presentation" where visualization and knowledge representation techniques are used to present the mined knowledge to the user. Efficient algorithms to mine frequent patterns are crucial to many tasks in data mining. Since the Apriori algorithm was proposed in 1994, there have been several methods proposed to improve its performance. However, most still adopt its candidate set generation-and-test approach. In addition, many methods do not generate all frequent patterns, making them inadequate to derive association rules. The Pattern Decomposition (PD) algorithm that can significantly reduce the size of the dataset on each pass makes it more efficient to mine all frequent patterns in a large dataset. This algorithm avoids the costly process of candidate set generation and saves a large amount of counting time to evaluate support with reduced datasets. In this paper, some existing frequent pattern generation algorithms are explored and their comparisons are discussed. The results show that the PD algorithm outperforms an improved version of Apriori named Direct Count of candidates & Prune transactions (DCP) by one order of magnitude and is faster than an improved FP-tree named as Predictive Item Pruning (PIP). Further, PD is also more scalable than both DCP and PIP.

Medical image classification using an efficient data mining technique

Data mining refers to extracting or "mining" knowledge from large amounts of data. It is an increasingly popular field that uses statistical, visualization, machine learning, and other data manipulation and knowledge extraction techniques aimed at gaining an insight into the relationships and patterns hidden in the data. Availability of digital data within picture archiving and communication systems raises a possibility of health care and research enhancement associated with manipulation, processing and handling of data by computers.That is the basis for computer-assisted radiology development. Further development of computer-assisted radiology is associated with the use of new intelligent capabilities such as multimedia support and data mining in order to discover the relevant knowledge for diagnosis. It is very useful if results of data mining can be communicated to humans in an understandable way. In this paper, we present our work on data mining in medical image archiving systems. We investigate the use of a very efficient data mining technique, a decision tree, in order to learn the knowledge for computer-assisted image analysis. We apply our method to the classification of x-ray images for lung cancer diagnosis. The proposed technique is based on an inductive decision tree learning algorithm that has low complexity with high transparency and accuracy. The results show that the proposed algorithm is robust, accurate, fast, and it produces a comprehensible structure, summarizing the knowledge it induces.

Accounting measurement in the state

This paper critically analysis accounting measurements from social and cultural values perspectives. By applying Hofstede (1980), Gray (1988), and Perera (1989) studies, first of all the study develop a theory to concern accounting values in a religious perception. Then Islam as a religion consider as a instance. Islamic compliance accounting measurement has developed in next stage to understand how the accounting value could be different from this viewpoint. A detail of those differences is portrayed to clearly understand with those accounting measurement are practicing in a called Western accounting measurement. The finding of the paper can be initially useful for considering in harmonization issues of accounting practices globally as well as a possible alternative for conservative accounting measurement.

Priority frequency maptable for query optimization using materialized views

In this paper query optimization using materialized views has been analyzed and a comprehensive and efficient technique has been proposed to create Map-table. Materialized views can provide massive improvements in query processing time, especially for aggregation queries over large tables. To realize this potential, a number of existing techniques have been considered regarding the problem of maintaining materialized views as well as optimal searching time and memory overhead. Keeping this in mind, an optimal algorithm has been proposed in this paper for query optimization. It has been demonstrated that the proposed algorithm reduces the searching time substantially and reducing the memory size as well.

Spam filtering using ML algorithms

Spam is commonly defined as unsolicited email messages, and the goal of spam categorization is to distinguish between spam and legitimate email messages. Spam used to be considered a mere nuisance, but due to the abundant amounts of spam being sent today, it has progressed from being a nuisance to becoming a major problem. Spam filtering is able to control the problem in a variety of ways. Many researches in spam filtering has been centred on the more sophisticated classifier-related issues. Currently,  machine learning for spam classification is an important research issue at present. Support Vector Machines (SVMs) are a new learning method and achieve substantial improvements over the currently preferred methods, and behave robustly whilst tackling a variety of different learning tasks. Due to its high dimensional input, fewer irrelevant features and high accuracy, the  SVMs are more important to researchers for categorizing spam. This paper explores and identifies the use of different learning algorithms for classifying spam and legitimate messages from e-mail. A comparative analysis among the filtering techniques has also been presented in this paper.