An Eyre Peninsula report card : adaptation practice and research in the far west of South Australia

The formation of Natural Resource Management Boards in South Australia provided a robust and integrated, and well resourced, regional landscape planning quasi-­‐authority in South Australia that has had major beneficial outcomes to several SA regions in being able to better co-­‐ordinate long term and creative public and private land management strategies, as well as enable several unique research projects to be tackled that would not otherwise under traditional fragmented state government agency configurations and relationships.

Cultural heritage and development in South East Asia

This chapter discusses research undertaken into the developmental role of museums and heritage sites in Thailand and the Greater Mekong Subregion, a geographical area that also includes Cambodia, Laos PDR and Myanmar. It contextualizes an international project, the Lampang Temples Project, to explore the potential role that museums and heritage sites can play in place-based development work, particularly in an Asian context where sacred places are simultaneously valued by local members of the community and as desinations for religious pilgrims and international tourists. The discussion of the Lampang Temples Project is located within an understanding of the international discourse concerning the roles of museums in development, including those contributions to the discourse that have originated in the Asia-Pacific region. It is also situated within an understanding of the roles of international agencies and local governments in the promotion of programmes and infrastructure for the preservation of Buddhist heritage and the relationship of this development strategy with tourism. Furthermore, due to the participatory and observational experience of the authors in the Lampang Temples Project, the chapter also considers the issues involved in applying cross-cultural pedagogies to the management of cultural tourism sites, including UNESCO World Heritage Sites. The results of the Lampang Temples Project support the contention that colaborative training models and pedagogies can be adapted, provided that differing cultural contexts and suppositions are appropriately articulated and integrated. Further, it suggests that this type of collaborative approach to the management of cultural tourism sites has the potential to play an important role in Buddhist heritage development processes.

Obsessive compulsive disorder : integration of cognitive-behaviour therapy and clinical psychology care into the primary care context

In primary care, evidence-based psychological treatments for obsessive compulsive disorder (OCD), such as cognitive behaviour therapy (CBT), have not been readily available. We aimed to develop models of care for OCD that account for barriers to access and can be integrated into general practice settings. Multiple methodologies and sources were utilised, including literature reviews, a reference group, focus groups, interviews and questionnaire responses from consumers, psychologists and/or GPs. It was found that there were similarities and some differences among stakeholders in attitudes and knowledge about OCD, and views about treatment and assessment in primary care. Three models of care for patients with OCD were developed and integrated into a treatment program operating through a division of general practice. Participating GPs preferred referral to a specialist clinic, irrespective of participation in an educational program about OCD. Based on these findings, it is suggested that effective integration of specialist CBT treatments for OCD into primary care is possible if the needs and views of all stakeholders are accounted for.

Hurdling the barriers : enabling student pathways from VET to higher education in building and construction management

Building effective pathways for students to transfer from and between education sectors and qualifications has been the subject of extensive research, policy development and practice over the last 20 years, both in Australia and internationally. Different researchers and policy-makers have examined this topic from various angles, but all from the perspective that improved pathways constitute an essential feature in a more flexible and integrated tertiary education system.

A mathematical model of neuromuscular adaptation to resistance training and its application in a computer simulation of accommodating loads

A large corpus of data obtained by means of empirical study of neuromuscular adaptation is currently of limited use to athletes and their coaches. One of the reasons lies in the unclear direct practical utility of many individual trials. This paper introduces a mathematical model of adaptation to resistance training, which derives its elements from physiological fundamentals on the one side, and empirical findings on the other. The key element of the proposed model is what is here termed the athlete’s capability profile. This is a generalization of length and velocity dependent force production characteristics of individual muscles, to an exercise with arbitrary biomechanics. The capability profile, a two-dimensional function over the capability plane, plays the central role in the proposed model of the training-adaptation feedback loop. Together with a dynamic model of resistance the capability profile is used in the model’s predictive stage when exercise performance is simulated using a numerical approximation of differential equations of motion. Simulation results are used to infer the adaptational stimulus, which manifests itself through a fed back modification of the capability profile. It is shown how empirical evidence of exercise specificity can be formulated mathematically and integrated in this framework. A detailed description of the proposed model is followed by examples of its application—new insights into the effects of accommodating loading for powerlifting are demonstrated. This is followed by a discussion of the limitations of the proposed model and an overview of avenues for future work.

Lifelong learning pathways : addressing participation and diversity in higher education, Final report 2013

Building effective pathways for students to transfer from and between education sectors and qualifications has been the subject of extensive research, policy development and practice over the last 20 years, both in Australia and internationally. Different researchers and policy-makers have examined this topic from various angles, but all from the perspective that improved pathways constitute an essential feature in a more flexible and integrated tertiary education system.

Simulation and evaluation of HERIC and H5 transformerless inverter topologies

Most of the inverters have an isolation transformer which prevents or limits fault current between AC and DC circuits under most fault conditions. If the transformer is excluded from the system, it would increase the PV system efficiency and decrease the size of its installations, which will lead to a lower cost for the whole investment. Thus, elimination of the transformer has to be considered carefully because a galvanic connection appears between the PV arrays and the ground in the absence of an isolation transformer. The galvanic connection causes the stray capacitance between the PV arrays structure and the ground to produce a leakage current. In this paper, a review of full bridge topology with bipolar and unipolar scheme and half bridge topology carried out in regard leakage current.in addition, HERIC and H5 topologies are simulated and leakage current in these topologies are evaluated.

Categorization of disaster decision support needs for the development of an integrated model for DMDSS

The wide variety of disasters and the large number of activities involved have resulted in the demand for separate Decision Support System (DSS) models to manage different requirements. The modular approach to model management is to provide a framework in which to focus multidisciplinary research and model integration. A broader view of our approach is to provide the flexibility to organize and adapt a tailored DSS model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focussed on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Generally, decision support needs are combined, and encapsulate different requirements of decision-making in the disaster management area. Categorization of decision support needs can provide the basis for such model selection to facilitate effective and efficient decision-making in disaster management. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management on the basis of needs categorization. The problem of the formulation and execution of such modular subroutines are not addressed here. Since the focus is on the selection of the modular subroutines from the existing DMDSS models on basis of a proposed needs classification scheme.

Impact of cannabis use on long-term remission in bipolar I and schizoaffective disorder

OBJECTIVE: To investigate the impact of regular cannabis use on long-term remission of mood symptoms in bipolar spectrum disorders. METHODS: The 24-month prospective observational study included patients (n=239) with bipolar I disorder and schizoaffective disorder, bipolar type. Participants were classified as regular cannabis users (three times or more per week) or non-users. The primary outcome measure was the achievement of remission on the evaluations during the 24 months. RESULTS: Of the 234 participants for whom data was available, 25 (10.7%) were regular cannabis users, and the group comprised significantly more males than females. In the total population, cannabis use was significantly associated with decreased likelihood of remission during the 24-month follow-up period. Subgroup analyses showed that cannabis use was significantly associated with lower remission rates on the Hamilton Depression Rating Scale in females (n=139) and patients prescribed mood stabilizers alone (n=151), whereas in males (n=95) and patients prescribed olanzapine and/or a mood stabilizer (n=83), cannabis use was significantly associated with lower remission rates on the Young Mania Rating Scale. Remission rates were lowest in the concurrent cannabis and tobacco smoking group (n=22) followed by the tobacco smoking only group (n=97), and the non-smoker group (n=116). The post-hoc analysis revealed that all remission rates were significantly lower in the concurrent cannabis and the tobacco smoking group compared to the non-smoker group. CONCLUSION: Cannabis use negatively affects the long-term clinical outcome in patients with bipolar spectrum disorders. A comprehensive assessment and integrated management of cannabis use are required to achieve better treatment outcomes for bipolar spectrum disorders.

Marginalisation of dental students in a shared medical and dental education programme

OBJECTIVES: Internationally, there are a number of universities at which medical and dental education programmes share common elements. There are no studies about the experiences of medical and dental students enrolled in different programmes who share significant amounts of learning and teaching. METHODS: Semi-structured interviews and focus groups were conducted with 36 students and staff in a learning programme shared between separate medical and dental faculties. They were transcribed and an iterative process of interpretation and analysis within the theoretical framework of the contact hypothesis and social identity theory was used to group data into themes and sub-themes. RESULTS: Dental students felt 'marginalised' and felt they were treated as 'second-class citizens' by medical students and medical staff in the shared aspects of their programmes. Contextual factors such as the geographical location of the two schools, a medical : dental student ratio of almost 3 : 1, along with organisational factors such as curriculum overload, propagated negative attitudes towards and professional stereotyping of the dental students. Lack of understanding by medical students and faculty of dental professional roles contributed further. CONCLUSIONS: Recommendations for reducing the marginalisation of dental students in this setting include improving communication between faculties and facilitating experiential contact. This might be achieved through initiating a common orientation session, stronger social networks and integrated learning activities, such as interprofessional problem-based learning and shared clinical experiences.

Future integrated factories: a system of systems engineering perspective

The manufacturing sector has gone through tremendous change in the last decade. We have witnessed the transformation from stand alone, manual processes to smart and integrated systems, from hand written reports to interactive computer-based dashboards. Future integrated factories will operate as a system of systems through intelligent machines, human factors integration, and integrated supply chains. To effectively operate and manage these emerging enterprises, a systems science approach is required. Modelling and simulation is recognised as a key enabling technology, with application from stakeholder engagement and knowledge elicitation to operational decision support through self-tuning and self-assembling simulations. Our research has led to the introduction of effective modelling and simulation methods and tools to enable real time planning, dynamic risk analysis and effective visualisation for production processes, resources and systems. This paper discusses industrial applicable concepts for real-time simulation and decision support, and the implications to future integrated factories, or factories of the future, are explored through relevant case studies from aerospace manufacturing to mining and materials processing enterprises.

Evaluation Of Reservoir Model Integration With Deterministic And Probabilistic Streamflow Forecasts

Due to the increase in water demand and hydropower energy, it is getting more important to operate hydraulic structures in an efficient manner while sustaining multiple demands. Especially, companies, governmental agencies, consultant offices require effective, practical integrated tools and decision support frameworks to operate reservoirs, cascades of run-of-river plants and related elements such as canals by merging hydrological and reservoir simulation/optimization models with various numerical weather predictions, radar and satellite data. The model performance is highly related with the streamflow forecast, related uncertainty and its consideration in the decision making. While deterministic weather predictions and its corresponding streamflow forecasts directly restrict the manager to single deterministic trajectories, probabilistic forecasts can be a key solution by including uncertainty in flow forecast scenarios for dam operation. The objective of this study is to compare deterministic and probabilistic streamflow forecasts on an earlier developed basin/reservoir model for short term reservoir management. The study is applied to the Yuvacık Reservoir and its upstream basin which is the main water supply of Kocaeli City located in the northwestern part of Turkey. The reservoir represents a typical example by its limited capacity, downstream channel restrictions and high snowmelt potential. Mesoscale Model 5 and Ensemble Prediction System data are used as a main input and the flow forecasts are done for 2012 year using HEC-HMS. Hydrometeorological rule-based reservoir simulation model is accomplished with HEC-ResSim and integrated with forecasts. Since EPS based hydrological model produce a large number of equal probable scenarios, it will indicate how uncertainty spreads in the future. Thus, it will provide risk ranges in terms of spillway discharges and reservoir level for operator when it is compared with deterministic approach. The framework is fully data driven, applicable, useful to the profession and the knowledge can be transferred to other similar reservoir systems.

The Panama canal expansion mega project : a case study and stakeholder´s analysis

As globalization increases integration, a new playing field is emerging which is driving the need for operational efficiencies and alignment of complementary capabilities among countries to build sustainable models and integrated offerings. As demands increase, companies are turning to effective project management as means to control operations and countries are increasing the amount of mega projects to boost their competitiveness and global footprint. Given the scale, complexity, political nature, multicultural makeup, and high level of visibility; mega projects rely on successful stakeholder management to effectively manage its operational, tactical, and strategic levels to execute their mission. This paper examines the success drivers of mega projects and presents an in depth stakeholder assessment of the Panama Canal Expansion mega project to identify the perceived value to its stakeholder community. The stakeholder categories include: the Panama Canal Authority, subcontractors executing the expansion project, customers of the canal in Panama and U.S., as well as the communities surrounding the Panama Canal and ports in the U.S. East Coast. The conclusion of this paper captures the relationship between the effective stakeholder engagement from the Panama Canal Authority, the perceived value of the Panamanian stakeholders, and compares it to U.S. based mega projects being executed simultaneously to allow the U.S. East Coast ports to accommodate increased cargo volumes.

Transparent access to relational, autonomous and distributed databases using semantic web and service oriented technologies

With the constant grow of enterprises and the need to share information across departments and business areas becomes more critical, companies are turning to integration to provide a method for interconnecting heterogeneous, distributed and autonomous systems. Whether the sales application needs to interface with the inventory application, the procurement application connect to an auction site, it seems that any application can be made better by integrating it with other applications. Integration between applications can face several troublesome due the fact that applications may not have been designed and implemented having integration in mind. Regarding to integration issues, two tier software systems, composed by the database tier and by the “front-end” tier (interface), have shown some limitations. As a solution to overcome the two tier limitations, three tier systems were proposed in the literature. Thus, by adding a middle-tier (referred as middleware) between the database tier and the “front-end” tier (or simply referred application), three main benefits emerge. The first benefit is related with the fact that the division of software systems in three tiers enables increased integration capabilities with other systems. The second benefit is related with the fact that any modifications to the individual tiers may be carried out without necessarily affecting the other tiers and integrated systems and the third benefit, consequence of the others, is related with less maintenance tasks in software system and in all integrated systems. Concerning software development in three tiers, this dissertation focus on two emerging technologies, Semantic Web and Service Oriented Architecture, combined with middleware. These two technologies blended with middleware, which resulted in the development of Swoat framework (Service and Semantic Web Oriented ArchiTecture), lead to the following four synergic advantages: (1) allow the creation of loosely-coupled systems, decoupling the database from “front-end” tiers, therefore reducing maintenance; (2) the database schema is transparent to “front-end” tiers which are aware of the information model (or domain model) that describes what data is accessible; (3) integration with other heterogeneous systems is allowed by providing services provided by the middleware; (4) the service request by the “frontend” tier focus on ‘what’ data and not on ‘where’ and ‘how’ related issues, reducing this way the application development time by developers.

Metodologia de Verificação Funcional para Circuitos Analógicos

This work proposes a new methodology to verify those analog circuits, providing an automated tools to help the verifiers to have a more truthful result. This work presents the development of new methodology for analog circuits verification. The main goal is to provide a more automated verification process to certify analog circuits functional behavior. The proposed methodology is based on the golden model technique. A verification environment based on this methodology was built and results of a study case based on the validation of an operational amplifier design are offered as a confirmation of its effectiveness. The results had shown that the verification process was more truthful because of the automation provided by the tool developed