Robert Boyle's theory of nature, with reference to his understanding of natural laws

Argues that the theory of nature-cum-theology and the view of of natural laws of the 17th century natural philosopher, Robert Boyle, were more complex and eclectic than is usually believed. Support is given for construing Boyle as a more complex thinker than previous scholars have suggested.

The interpretation of nature as spiritual content in painting

Investigates the interpretation of spiritual content in painting. Pt. 1 defines aspects of spirituality and explores the authors concerns of despiritualization. Pt. 2 parallels concerns with the Romantic movement & explores the notion of the sublime in relation to spiritual interpretation. Pt. 3 links the documented research to the body of studio work. The printings and drawings explore the authors concerns through the visual expression of concepts which suggest nature as a spiritual source.

Matrices representation of multi soft-sets and its application

In previous paper, we introduced a concept of multi-soft sets and used it for finding reducts. However, the comparison of the proposed reduct has not been presented yet, especially with rough-set based reduct. In this paper, we present matrices representation of multi-soft sets. We define AND and OR operations on a collection of such matrices and apply it for finding reducts and core of attributes in a multi-valued information system. Finally, we prove that our proposed technique for reduct is equivalent to Pawlak’s rough reduct.

Representation of female offender types within the pathways model of assault

Research into the heterogeneity of female violent offending is sparse, even though females constitute a growing part of the prisoner population. There is evidence that the majority of female violent offenders display over-controlled traits related to uncharacteristic offending. This hypothesis was explored through a multivariate model, the Pathways Model of Assault, with interview data from 17 female assault offenders. Five different offence types were displayed, reflecting the same offence styles as male offenders. However, only two participants displayed an over-controlled offence type. Qualitative differences within the data suggested that offender rehabilitation should be tailored specifically for different gender needs in addition to the needs suggested by the different offence types.

A method for the visual representation of historic multivariate point data

The visual representation of multivariate spatial and temporal data is important for interpreting and analyzing historical geographic patterns that change over time. The introduction of geospatial technologies in historical scholarship has challenged the suitability of current visual representations due to the need for greater temporal emphasis and the tracking of historical events over time. This research presents a holistic multivariate approach to historical visual representation for point based historical data. The method has been developed through extending the spatial presence in information graphics and through meaningful spatial classification. This paper demonstrates the benefits gained from integrating historical, geographic, temporal, and attribute data through the development of a case study on the history of Melbourne’s cinema venues between 1946 and 1986.

Discursive representation of international students

The data consists of qualitative interviews regarding international students. It provides insight into the discursive representations of international students in an Australian university setting. This data provides a critique of institutional discourses that are informed by race, culture and identity, learning constraints and particular constructions of English and offers ways of thinking that enable a movement beyond into the arena of multiplicity and complexity. While this data is of the discursive practices at one institution it is nonetheless suggestive for other universities. It points to the benefits of examining through a postcolonial lens the discursive practices of the institution alongside the subjectivities of students. The mismatch that is evident in this data indicates the need for institutional change if the goal of genuine internationalisation is to be achieved.

A unified formalism for landmark based representation of maps and navigation plans

We present a unified formalism for representing maps and using them for constructing plans of navigation for an autonomous agent. The foundation of this work lies in addressing key questions that an agent is confronted with when navigating. That is, besides the main task of how to reach the intended destination from the current position, the agent faces other questions like: where am I? what landmarks can I see? where is my destination relative to me and the landmarks I am seeing? Fundamental to this representation is the use of visual landmarks, which are used as pivotal points in the landscape being described. Further, in the representation of spatial information and navigation there are three different viewpoints: first, the localized representation from the viewpoint of a sighted, mobile agent; second, the static representation seen by the map-maker; and third, the view of an external agent giving directions on the basis of his own experience/knowledge. The major contribution of this map model and the associated navigation method lies in the framework which unifies these three different points of view. This unification enables the agent to make no distinction in terms of following implicit instructions contained in a map and the directions given by external agents.

Object categorization via sparse representation of local features

Sparse representation has been introduced to address many recognition problems in computer vision. In this paper, we propose a new framework for object categorization based on sparse representation of local features. Unlike most of previous sparse coding based methods in object classification that only use sparse coding to extract high-level features, the proposed method incorporates sparse representation and classification into a unified framework. Therefore, it does not need a further classifier. Experimental results show that the proposed method achieved better or comparable accuracy than the well known bag-of-features representation with various classifiers.

Human identification from ECG signals via sparse representation of local segments

This work proposes a novel framework to extract compact and discriminative features from Electrocardiogram (ECG) signals for human identification based on sparse representation of local segments. Specifically, local segments extracted from an ECG signal are projected to a small number of basic elements in a dictionary, which is learned from training data. A final representation is extracted by performing a max pooling procedure over all the sparse coefficient vectors in the ECG signal. Unlike most of existing methods for human identification from ECG signals which require segmentation of individual heartbeats or extraction of fiducial points, the proposed method does not need to segment individual heartbeats or detect any fiducial points. The method achieves an 99.48% accuracy on a 100 subjects dataset constructed from a publicly available database, which demonstrates that both local and global structural information are well captured to characterize the ECG signals.

The emergent sea of nature and religion : a study of faith-based responses to issues of environmental sustainability

The research highlighted that the majority of adherents to faith groups in Australia showed a high level of concern to environmental issues; however, there is a need to provide wide-ranging community engagement programs. Further education is required considering there was uncertainty about some environmental issues, in particular climate change.