Biosensors, types and applications

Biosensor has rapidly become essential analytical tools, since they offer higher performance in terms of sensitivity and selectively than any other currently available diagnostic device. The development of biosensor technology represents a crucial task for environmental pollution management, there is a considerable need to project and realize biosensors with the best features for commercialization, such as selectivity, sensitivity, stability, reproducibility and low cost. With appropriate progress testing and commercialization, biosensors will have an important impact on environmental monitoring, reducing costs and increasing the efficiency of certain applications. The same multiple approach might be used for development of biosensor platforms suitable for use in fields as diverse as environmental and agrifood to industry, research security and defence, medical and clinical. This review paper focussed on the various types of biosensors and applications in environmental monitoring.

Maximum likelihood approach for tracking multiple mobile agents with a moving doppler radar system

Tracking mobile agents with a Doppler radar system mounted on a moving vehicle is considered in this paper. Dopplers modulated from mobile agents on the single frequency continuous wave signals are analyzed in order to estimate the positions and velocities of multiple mobile agents. The measurement noise is assumed to be Gaussian and the maximum likelihood estimation is utilized to enhance the localization accuracy.

A hybrid approach for multiple particle tracking microrheology

Geometric object detection has many applications, such as in tracking. Particle tracking microrheology is a technique for studying mechanical properties by accurately tracking the motion of the immersed particles undergoing Brownian motion. Since particles are carried along by these random undulations of the medium, they can move in and out of the microscope's depth of focus, which results in halos (lower intensity). Two-point particle tracking microrheology (TPM) uses a threshold to find those particles with peak, which leads to the broken trajectory of the particles. The halos of those particles which are out of focus are circles and the centres can be accurately tracked in most cases. When the particles are sparse, TPM will lose certain useful information. Thus, it may cause inaccurate microrheology. An efficient algorithm to detect the centre of those particles will increase the accuracy of the Brownian motion. In this paper, a hybrid approach is proposed which combines the steps of TPM for particles in focus with a circle detection step using circular Hough transform for particles with halos. As a consequence, it not only detects more particles in each frame but also dramatically extends the trajectories with satisfactory accuracy. Experiments over a video microscope data set of polystyrene spheres suspended in water undergoing Brownian motion confirmed the efficiency of the algorithm.

Teachers’ perspectives and practices on social and emotional learning: multiple case study approach

 This thesis has explored how Preparatory teachers in two Victorian primary schools understand and implement social and emotional learning in their classrooms. The findings of this research indicated that the participating teachers paid more attention to children's social skills rather than to their emotional skills. Another important finding was that social and emotional learning has a very limited place within the policies and the curricula of the participating schools.

Aligning multiple knowledge perspectives in a health services system : a case study

This chapter reports the results of a feasibility study into electronic collection of service data at “point of delivery” for disability programs. The investigation revealed that while the proposed system would have produced more fine-grained data, it would not have improved any actor’s knowledge of service delivery. The study illustrated the importance of context in the transition from data to knowledge; the diffused and fragmented organisational structure of social service administration was shown to be a major barrier to effective building and sharing of knowledge. There was some value in the collection of detailed service data but this would have damaged the web of relationships which underpinned the system of service delivery and on which the smooth functioning of that system depended. The study recommended an approach to managing the informal and tacit knowledge distributed among many stakeholders, which was not especially technologically advanced but which supported, in a highly situated manner, the various stakeholders in this multi-organisational context.

Multiple forms of child abuse and neglect: adult retrospective reports

There are few research reports of the experience of multiple forms of child abuse and neglect (multi-type maltreatment). A critical review is presented of 29 studies in which adult retrospective reports of more than one form of child maltreatment (sexual abuse, physical abuse, psychological maltreatment, neglect, or witnessing family violence) are assessed. Empirical investigations of the extent and impact of multi-type maltreatment are identified. Data on the relationship between the different forms of maltreatment and the adjustment problems associated with each type of maltreatment are critiqued. As well as using dichotomous measures of maltreatment, an important methodological problem was the failure of researchers to assess all child maltreatment types, the relationship between multi-type maltreatment and adjustment, and the role of variables influencing the occurrence or impact of maltreatment. Considerable overlap was found in the occurrence of maltreatment types. The compounding or interacting effects of experiencing multi-type maltreatment were ignored in many studies. Where an assessment was made of the specific impact of multi-type maltreatment, it was associated with greater impairment than single forms of abuse or neglect. A multi-dimensional approach to prevention and treatment of child abuse and neglect is required in which children's vulnerability to multi-type maltreatment is addressed.

Least squares splines with free knots: global optimization approach

Splines with free knots have been extensively studied in regard to calculating the optimal knot positions. The dependence of the accuracy of approximation on the knot distribution is highly nonlinear, and optimisation techniques face a difficult problem of multiple local minima. The domain of the problem is a simplex, which adds to the complexity. We have applied a recently developed cutting angle method of deterministic global optimisation, which allows one to solve a wide class of optimisation problems on a simplex. The results of the cutting angle method are subsequently improved by local discrete gradient method. The resulting algorithm is sufficiently fast and guarantees that the global minimum has been reached. The results of numerical experiments are presented.

An efficient replicated data management approach for peer-to-peer systems

The availability of critical services and their data can be significantly increased by replicating them on multiple systems connected with each other, even in the face of system and network failures. In some platforms such as peer-to-peer (P2P) systems, their inherent characteristic mandates the employment of some form of replication to provide acceptable service to their users. However, the problem of how best to replicate data to build highly available peer-to-peer systems is still an open problem. In this paper, we propose an approach to address the data replication problem on P2P systems. The proposed scheme is compared with other techniques and is shown to require less communication cost for an operation as well as provide higher degree of data availability.

Multiple criteria sustainability modelling

This paper describes the research supported by a recent AIQS research grant to develop a computer-based tool for sustainability modeling using multiple criteria. The model enables a sustainability index with an accept/reject threshold of one that has the potential to completely replace traditional net present value methods. Minimum performance benchmarks are prescribed and must be observed - often by trading off performance across the full criteria set. Sustainability is shown to be capable of objective (numeric) analysis for new projects, existing facilities, or indeed any product or asset. A combination of investor-centred and community-centred motivations can also be explored in the model. Known as SINDEX, the tool has industry-wide application, both locally and abroad, and represents a paradigm shift in project evaluation techniques. Furthermore, its multi-discipline considerations underscore the importance of a team approach to sustainability modeling and the need for people to work more closely together when dealing with complex problems

Redefining teacher education through a `multiple space` model: examining the forgotten spaces that teachers work in

This paper maps the current debates surrounding school-based and university-based teacher education models, and presents a ‘multiple-space’ model of teacher education that both explores and values the many ‘forgotten’ spaces that teachers work in. It draws from a variety of research studies, including my own doctoral work, to argue for a new approach to teacher education programs. I suggest that in order for teacher education to move beyond separatist, binary models, we need to adopt a ‘multiple-space’ view of learning to be a teacher that embraces the notion that teachers do not learn about theory in a university space, nor do they simply work in a classroom space.

Content-based video indexing for sports applications using integrated multi-modal approach

To sustain an ongoing rapid growth of video information, there is an emerging demand for a sophisticated content-based video indexing system. However, current video indexing solutions are still immature and lack of any standard. This doctoral consists of a research work based on an integrated multi-modal approach for sports video indexing and retrieval. By combining specific features extractable from multiple audio-visual modalities, generic structure and specific events can be detected and classified. During browsing and retrieval, users will benefit from the integration of high-level semantic and some descriptive mid-level features such as whistle and close-up view of player(s).

Incorporating stakeholder values into regional forest planning : a value function approach

Forest management involves multiple objectives, multiple stakeholders, complex socio-ecological and political interactions. Public involvement in forest decision making is a challenging task that involves controversies. Various participatory tools such as public consultation forums, public comment processes, opinion polls are used to consult and to obtain inputs from communities. All these methods can provide useful information but they fail to quantify the trade-offs systematically and offer little help in minimizing conflicts. The Australian Regional Forest Agreement (RFA) program was implemented in response to the decades of conflicts and debate between various stakeholder groups and government over the use and management of forest resources. So far, it has not been able to minimize conflicts in the forestry sector, partly due to its poor incorporation and integration of stakeholder values. This paper uses the value functions approach in modelling stakeholder values in regional forest planning. The results of the study indicate that this method can help to incorporate value preferences effectively into the decision making process. It can also increase the transparency and credibility of the forest planning exercises such as RFA process.

Multiple-criteria decision analysis for integrated catchment management

Implementation of integrated catchment management (ICM) is hampered by the lack of a conceptual framework for explaining how landowners select farming systems for their properties. Benefit–cost analysis (a procedure that estimates the costs and benefits of alternative actions or policies) has limitations in this regard, which might be overcome by using multiple-criteria decision analysis (MCDA). MCDA evaluates and ranks alternatives based on a landowner's preferences (weights) for multiple-criteria and the values of those criteria. A MCDA approach to ICM is superior to benefit–cost analysis which focuses only on the monetary benefits and costs, because it: 1) recognizes that human activities within a catchment are motivated by multiple and often competing criteria and/or constraints; 2) does not require monetary valuation of criteria; 3) allows trade-offs between criteria to be measured and evaluated; 4) explicitly considers how the spatial configuration of farming systems in a catchment influences the values of criteria; 5) is comprehensive, knowledge-based, and stakeholder oriented which greatly increases the likelihood of resolving catchment problems; and 6) allows consideration of the fairness and sustainability of land and water resource management decisions. A MCDA based on an additive, multiple-criteria utility function containing five economic and environmental criteria was used to score and rank five farming systems. The rankings were based on the average criteria weights for a sample of 20 farmers in a US catchment. The most profitable farming system was the lowest-ranked farming system. Three possible reasons for this result are evaluated. First, the MCDA method might cause respondents to express socially acceptable attitudes towards environmental criteria even when they are not important from a personal viewpoint. Second, the MCDA method could inflate the ranks of less profitable farming systems for the simple reason that it allows the respondent to assign non-zero weights to non-economic criteria. Third, the MCDA might provide a better framework for evaluating a landowner's selection of farming systems than the profit maximization model.