Transnational citizenship: problems of definition, culture and democracy

There is widespread disagreement over whether transnational citizenship provides defensible extensions of, or meaningful complements to, national citizenship. A significant strand of criticism relies upon empirical arguments about political motivation and the consequences of transnationalism. This paper addresses two questions arising from empirical arguments relating to the nation state and democracy. Do the alleged cultural requirements for effective political action provide an insuperable barrier to transnational citizenship? Does transnational citizenship necessarily require a commitment to transnational democracy? I argue that these largely empirical criticisms do not succeed in casting doubt upon the normative plausibility or practical viability of transnational projects. On the first question, I point to a growing transnational political culture that serves to motivate transnational citizens. On the second question, I argue for a legitimate category of transnational citizenship that, although inspired by cosmopolitan morality, is different from it, and that does not require transnational democracy.

Problem and solution trees : a practical approach for identifying potential interventions to improve population nutrition

Population nutrition problems have a diversity of contributory factors and, ideally, multi-sectoral solutions should be developed by the relevant stakeholders, based on a common understanding of these factors. The problem and solution tree approach is a participatory process of working through the layers of determinants and then developing potential interventions for a specific issue, using the available data and expertise. We tailored this approach for non-communicable disease-related nutrition problems in Pacific Islands and applied it in several countries. The process led to the identification of a considerable range of determinants of unhealthy diets and potential interventions to improve the situation. This practical approach also offered the additional benefit of developing stakeholder awareness in the issues. Problem trees are a relatively simple tool to implement, easy to adapt to differing needs, can generate a wealth of information and can be more widely used.

Managing clinical problems in diabetes

"The incidence and prevalence of diabetes is increasing globally, and most health professionals are likely to care for people with diabetes. In such cases they may often find that they have to make clinical decisions without expert support, which can be difficult for both patient and carer."
"Managing Clinical Problems in Diabetes provides this support by exploring common clinical problems in diabetes care, and providing practical solutions based on evidence and the clinical experience of diabetes educators, endocrinologists, general practitioners, and other health professionals who encounter such problems on a daily basis. Each chapter begins with an introductory section presenting an overview of the management of diabetes, including short- and long- tern complications and management targets across the lifespan. The authors then pose commonly encountered diabetes management problems, developing comprehensive responses from a range of relevant health professionals who each provide management suggestions from their area of practice." "Managing Clinical Problems in Diabetes is a vital resource for health professionals involved in the provision of care for people with diabetes."--BOOK JACKET.

Agent-based hybrid framework for decision making on complex problems

Electronic commerce and the Internet have created demand for automated systems that can make complex decisions utilizing information from multiple sources. Because the information is uncertain, dynamic, distributed, and heterogeneous in nature, these systems require a great diversity of intelligent techniques including expert systems, fuzzy logic, neural networks, and genetic algorithms. However, in complex decision making, many different components or sub-tasks are involved, each of which requires different types of processing. Thus multiple such techniques are required resulting in systems called hybrid intelligent systems. That is, hybrid solutions are crucial for complex problem solving and decision making. There is a growing demand for these systems in many areas including financial investment planning, engineering design, medical diagnosis, and cognitive simulation. However, the design and development of these systems is difficult because they have a large number of parts or components that have many interactions. From a multi-agent perspective, agents in multi-agent systems (MAS) are autonomous and can engage in flexible, high-level interactions. MASs are good at complex, dynamic interactions. Thus a multi-agent perspective is suitable for modeling, design, and construction of hybrid intelligent systems. The aim of this thesis is to develop an agent-based framework for constructing hybrid intelligent systems which are mainly used for complex problem solving and decision making. Existing software development techniques (typically, object-oriented) are inadequate for modeling agent-based hybrid intelligent systems. There is a fundamental mismatch between the concepts used by object-oriented developers and the agent-oriented view. Although there are some agent-oriented methodologies such as the Gaia methodology, there is still no specifically tailored methodology available for analyzing and designing agent-based hybrid intelligent systems. To this end, a methodology is proposed, which is specifically tailored to the analysis and design of agent-based hybrid intelligent systems. The methodology consists of six models - role model, interaction model, agent model, skill model, knowledge model, and organizational model. This methodology differs from other agent-oriented methodologies in its skill and knowledge models. As good decisions and problem solutions are mainly based on adequate information, rich knowledge, and appropriate skills to use knowledge and information, these two models are of paramount importance in modeling complex problem solving and decision making. Follow the methodology, an agent-based framework for hybrid intelligent system construction used in complex problem solving and decision making was developed. The framework has several crucial characteristics that differentiate this research from others. Four important issues relating to the framework are also investigated. These cover the building of an ontology for financial investment, matchmaking in middle agents, reasoning in problem solving and decision making, and decision aggregation in MASs. The thesis demonstrates how to build a domain-specific ontology and how to access it in a MAS by building a financial ontology. It is argued that the practical performance of service provider agents has a significant impact on the matchmaking outcomes of middle agents. It is proposed to consider service provider agents' track records in matchmaking. A way to provide initial values for the track records of service provider agents is also suggested. The concept of ‘reasoning with multimedia information’ is introduced, and reasoning with still image information using symbolic projection theory is proposed. How to choose suitable aggregation operations is demonstrated through financial investment application and three approaches are proposed - the stationary agent approach, the token-passing approach, and the mobile agent approach to implementing decision aggregation in MASs. Based on the framework, a prototype was built and applied to financial investment planning. This prototype consists of one serving agent, one interface agent, one decision aggregation agent, one planning agent, four decision making agents, and five service provider agents. Experiments were conducted on the prototype. The experimental results show the framework is flexible, robust, and fully workable. All agents derived from the methodology exhibit their behaviors correctly as specified.

Self-regulation of sex offending, future pathways and the Good Lives Model : applications and problems

Two theoretical developments, the Self-Regulation Model of the Offence and Relapse Process and the Good Lives Model, have recently offered promise in the advancement of sex offender treatment. The present paper represents a preliminary attempt to operationalize these theoretical principles by developing a number of practical treatment procedures. We have employed the method of a life map, which traces personal development from birth and which incorporates long-term future projections. This includes all actions, events, incidents and skills (whether positive or negative), which have led to a sense of self-esteem and the development of personal values. These will include risk factors and criminogenic needs which lead to offending as well as positive experiences and self-resources which can be incorporated into a future Good Lives Pathway. Two case illustrations are presented, which demonstrate the way in which all experiences from the past can be incorporated into alternative future pathways. These pathways will include positive self-resources and protective variables which develop into a non-offending future and negative self-resources with risk variables which develop into an offending future. The cases illustrate the way in which GLM and self-regulation pathways can be combined in a robust practical treatment procedure. Practical difficulties inherent in the procedure are also discussed.

Learning leadership is in your hands : toward a scholarship of teaching in practical legal training

A scholarship of teaching in post-graduate pre-admission practical legal training is germane to perceptions of the quality of accreditation of young Australian lawyers practicing in a globalised profession. Traditional forms of teaching scholarship in law have been identified as influencing the well being of law students and practitioners. This article reviews literature that frames a definition and prerequisites for a scholarship of teaching, its traditional and potential forms, and its subject matter. It considers the present position of a scholarship of teaching in practical legal training, and the historical and organisational epistemological approaches to professional practical training (compared to academic education) that shape that position. Problems of validity, measurement, performativity, and engagement in teaching scholarship are introduced, followed by consideration of possible methodological approaches drawing on Schon’s conception of action research, together with emergent methodologies, technologies and practical considerations that enable individual practitioners to pursue and lead a scholarship of teaching in practical legal training. The article frames questions for further doctoral research in relation to practical legal training teachers’ engagement with the scholarship of teaching.

Learning leadership is in your hands : toward a scholarship of teaching in practical legal training

This article seeks to promote discussion about scholarship of teaching in Australian postgraduate pre-admission practical legal training (PLT). This is germane to perceptions of the quality of accreditation of young Australian lawyers practicing in a globalised profession. The article gives a definition and outlines the prerequisites for scholarship of teaching. The present position of teacher engagement with scholarship of teaching in Australian PLT is considered, together with the historical and organisational epistemological approaches to professional practical training. Problems of validity, measurement, performativity, and engagement in teaching scholarship are discussed. Possible methodological approaches, including Schön’s conception of action research, together with other methodologies, technologies, and practical considerations, are considered. These discussion points are directed toward future exploration of PLT teachers’ engagement with, and leadership in, the scholarship of teaching in PLT.

Problems in seawater industrial desalination processes and potential sustainable solutions: a review

Seawater desalination has significantly developed towards membrane technology than phase change process during last decade. Seawater reverse osmosis (SWRO) in general is the most familiar process due to higher water recovery and lower energy consumption compared to other available desalination processes. Despite major advancements in SWRO technology, desalination industry is still facing significant amount of practical issues. Therefore, the potentials and problems faced by current SWRO industries and essential study areas are discussed in this review for the benefit of desalination industry. It is important to consider all the following five components in SWRO process i.e. (1) intake (2) pre-treatment (3) high pressure pumping (4) membrane separation (performance of membranes and brine disposal) and (5) product quality. Development of higher corrosion resistant piping materials or coating materials, valves, and pumps is believed to be in higher research demand. Furthermore, brine management, that includes brine disposal and resource recovery need further attention. Pre-treatment sludge management and reduced cleaning in place flush volume will reduce the capital costs associated with evaporation ponds and the maintenance costs associated with disposal and transportation reducing the unit cost of water. © 2013 Springer Science+Business Media Dordrecht.

Changes in Australian injecting drug users’ mental health problems and service uptake from 2006-2012

Purpose– The purpose of this paper is to assess changes in rates of mental health problems and service utilisation for Australian regular injecting drug users (IDUs) from 2006 to 2012. Design/methodology/approach – Data were taken from Illicit Drug Reporting System national surveys with 914 regular IDUs in 2006 and 883 in 2012. Changes in rates of self-reported mental health problems and service use were assessed. Findings – Rates of self-reported mental health problems increased from 38.3 per cent in 2006 to 43.7 per cent in 2012 – mainly due to increases in anxiety rates. Conversely, there was a decrease in mental health service use from 70.2 to 58.4 per cent by 2012. However, there was a proportional increase in the use of psychologists. These trends remained after controlling for socio-demographic and medical differences between the 2006/2012 samples. K10 scores for 2012 participants validated the use of the self-report measures. Practical implications – Reductions in stigma, improvements in mental health literacy, and modest increases in anxiety may explain increases in self-report of mental health problems. Stagnant service utilisation rates in an expanding population willing to self-report may explain decreasing service use. The introduction of key mental health reforms also may have contributed, particularly with the increase in psychologist access. This paper highlights the need for improved population monitoring of mental health in disadvantaged groups such as IDUs. Originality/value – This paper is the first to assess changes in mental health outcomes over time in Australian IDUs. This examination covered a critical era in the mental health landscape, with significant increases in public awareness campaigns and major mental health reforms.

Towards practical and near-optimal coflow scheduling for data center networks

In current data centers, an application (e.g., MapReduce, Dryad, search platform, etc.) usually generates a group of parallel flows to complete a job. These flows compose a coflow and only completing them all is meaningful to the application. Accordingly, minimizing the average Coflow Completion Time (CCT) becomes a critical objective of flow scheduling. However, achieving this goal in today's Data Center Networks (DCNs) is quite challenging, not only because the schedule problem is theoretically NP-hard, but also because it is tough to perform practical flow scheduling in large-scale DCNs. In this paper, we find that minimizing the average CCT of a set of coflows is equivalent to the well-known problem of minimizing the sum of completion times in a concurrent open shop. As there are abundant existing solutions for concurrent open shop, we open up a variety of techniques for coflow scheduling. Inspired by the best known result, we derive a 2-approximation algorithm for coflow scheduling, and further develop a decentralized coflow scheduling system, D-CAS, which avoids the system problems associated with current centralized proposals while addressing the performance challenges of decentralized suggestions. Trace-driven simulations indicate that D-CAS achieves a performance close to Varys, the state-of-the-art centralized method, and outperforms Baraat, the only existing decentralized method, significantly.