Changing community perceptions of 'place'

In May 2002 the Australian Department of Defence announced its intention to divest the Defence land at Portsea on the Mornington Peninsula, Victoria. At the same time nominations were invited for membership of the Community Reference Group (CRG) established as part of the Portsea Defence Land Master Planning Project. The author actively participated in this voluntary advisory group which provided input on matters of interest to the community relating to the project, provided a medium for information sharing and addressed the sometimes competing needs of different stakeholder groups (such as government, business and residents). A major role of the CRG was to provide a focus for community input on aspects of technical issues, particularly in relation to the planning for the future use of the site, flora and fauna issues, infrastructure provision, traffic and access management, heritage and archaeology, and the integration of the site with both the natural environment and existing community facilities, including the township of Portsea. The author's professional background in art and architectural history, in teaching and in research specifically in heritage related areas; her record of community work both in hands on work and in leadership positions, in Melbourne and on the Nepean Peninsula, enabled her to make a significant and useful contribution to the CRG in contributing to the understanding of the rich, diverse, multilayered cultural and natural heritage of the entire site.

Using this specific example, this paper examines the process of participating in Australian society through engaging communities - engaging women. It examines the invitation to participate, the nomination and selection process, the brief given to the community reference group, the development of the consultative process over the six months of deliberations, and the important role that women played in the project. It looks at what can be learned from the experience: how women in particular led the way in changing perceptions of place within the local community, and consequently in the broader framework of the project. It examines the success of the outcomes both in terms of the specific task of writing the Master Plan for the Portsea Defence site and of the process of community participation: the dynamic inter-relationships in the group; between the group and the consultants; between the group and the Department of Defence and between the group and the Federal Government. It comments reflectively and critically on the effectiveness of the whole process.

Burnout in the caring nurse: learning resilient behaviours

This paper reviews current literature to offer a discussion related to burnout, an issue that affects the entire healthcare sector, including nurses and patients. Literature suggests a correlation between moral distress and burnout in nurses. These issues are considered to be current and affect recruitment and retention of nurses. The authors propose supporting nurses by using knowledge of resilient behaviours as a means of transcending burnout and workplace stress. The authors believe that this process can be achieved through existing hospital professional development processes, for example supervision, reflective practice, in-service education and other forms of professional development.

Umpire participation: is abuse really the issue?

Umpires (or referees) are essential for the ongoing production of organised sport. It has been widely argued that abuse of umpires by players, coaches, and spectators is ubiquitous and aversive, therefore engendering attrition. Cognitive behavioural theory specifies that attrition and continuation are best understood by identifying the ways that stimuli are interpreted. In this study, 22 umpires of professional and semi-professional Australian Rules football were interviewed to determine what they think of abusive behaviour, and what they find to be rewarding about umpiring. Findings showed that umpires routinely reframe abuse, considering it to be a normal part of their role. Abuse was not deemed to be particularly aversive, and there was no evidence that it contributes to attrition. On the other hand, umpires enjoyed the social world they share with other umpires, and identified social interactions among umpires as a key reason for continuing to umpire. This study highlights the important role that socialisation into the social world of umpiring plays in helping umpires to reframe abuse, and the importance of socialising with other umpires in maintaining their commitment to umpiring. It is suggested that the social rewards of umpiring should be stressed in umpire recruitment, and that the social world of umpiring should be incorporated into umpire training and retention.

Acoustic features extraction for emotion recognition

In the last decade, the efforts of spoken language processing have achieved significant advances, however, the work with emotional recognition has not progressed so far, and can only achieve 50% to 60% in accuracy. This is because a majority of researchers in this field have focused on the synthesis of emotional speech rather than focusing on automating human emotion recognition. Many research groups have focused on how to improve the performance of the classifier they used for emotion recognition, and few work has been done on data pre-processing, such as the extraction and selection of a set of specifying acoustic features instead of using all the possible ones they had in hand. To work with well-selected acoustic features does not mean to delay the whole job, but this will save much time and resources by removing the irrelative information and reducing the high-dimension data calculation. In this paper, we developed an automatic feature selector based on a RF2TREE algorithm and the traditional C4.5 algorithm. RF2TREE applied here helped us to solve the problems that did not have enough data examples. The ensemble learning technique was applied to enlarge the original data set by building a bagged random forest to generate many virtual examples, and then the new data set was used to train a single decision tree, which selects the most efficient features to represent the speech signals for the emotion recognition. Finally, the output of the selector was a set of specifying acoustic features, produced by RF2TREE and a single decision tree.

Adaptive spike detection for resilient data stream mining

Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adaptive spike detection is attribute ranking and selection without class-labels. The first part of adaptive spike detection requires weighing all attributes for spiky-ness to rank them. The second part involves filtering some attributes with extreme weights to choose the best ones for computing each example’s suspicion score. Within an identity crime detection domain, adaptive spike detection is validated on a few million real credit applications with adversarial activity. The results are F-measure curves on eleven experiments and relative weights discussion on the best experiment. The results reinforce adaptive spike detection’s effectiveness for class-label-free attribute ranking and selection.

Supporting user evaluation of IT security certification schemes

IT Security Certification is an increasingly important qualification for information technology (IT) professionals seeking employment in IT security. Yet currently there is a lack of rigorously developed approaches to support the evaluation and selection by key stakeholders of the most appropriate IT security certification scheme from among hundreds of vendor-neutral and vendor-specific schemes. This paper develops a framework based on categories, characteristics and criteria to support user evaluation and selection of an (IT) Security Certification scheme that satisfies user priorities and requirements. The paper illustrates the use of the framework to support an experienced IT Professional’s evaluation. Theoretical and practical implications of the framework and trial evaluation are discussed.

Sharing good teaching practice: Practical strategies to integrate ICT into the classroom

Situated in regional areas of Victoria, a group of 16 primary and secondary teachers participated in an intensive program of professional development designed to assist them in embedding lCT into their classroom practice. Most teachers made significant changes to their teaching practice becoming risk-takers and problem solvers.This paper reports on the strategic innovations introduced by the teachers including training, preparation, curriculum planning, software evaluation and selection, classroom management strategies, cooperative learning strategies and embedded assessment tasks. The paper will explore the ways these innovations responded to a variety of constraints including limited resources, time and support.

Somatostatin modulates G-CSF-induced but not interleukin-3-induced proliferative responses in myeloid 32D cells via activation of somatostatin receptor subtype 2

Somatostatin, originally identified as a peptide involved in neurotransmission, functions as an inhibitor of multiple cellular responses, including hormonal secretion and proliferation. Somatostatin acts through activation of G-protein-coupled receptors of which five subtypes have been identified. We have recently established that human CD34/c-kit expressing hematopoietic progenitors and acute myeloid leukemia (AML) cells exclusively express SSTR2. A major mechanism implicated in the antiproliferative action of somatostatin involves activation of the SH2 domain-containing protein tyrosine phosphatase SHP-1. While 0.1-1 x 10(-9) M of somatostatin, or its synthetic stable analog octreotide, can inhibit G-CSF-induced proliferation of AML cells, little or no effects are seen on GM-CSF- or IL-3-induced responses.
MATERIALS AND METHODS: To study the mechanisms underlying the antiproliferative responses of myeloblasts to somatostatin, clones of the IL-3-dependent murine cell line 32D that stably express SSTR2 and G-CSF receptors were generated. RESULTS: Similar to AML cells, octreotide inhibited G-CSF-induced but not IL-3-induced proliferative responses of 32D[G-CSF-R/SSTR2] cells. Somatostatin induced SHP-1 activity and inhibited G-CSF-induced, but not IL-3-induced, activation of the signal transducer and activator of transcription proteins STAT3 and STAT5.
CONCLUSION: Based on these data and previous results, we propose a model in which recruitment and activation of the tyrosine phosphatase SHP-1 by SSTR2 is involved in the selective negative action of somatostatin on G-CSF-R signaling.

Reconceptualising the objectives of a pilot study for clinical research

This is a methodological study in which a case report is used to retrospectively analyse the link between a successful pilot study and stalled main study to identify potential methodological weaknesses in the planning process. The analysis identified unanticipated influences related to hospital processes and discipline boundaries that adversely influenced participant recruitment and retention for a clinical trial. The findings of the study demonstrate that, whilst the pilot is an important step in research planning to confirm the design and operational processes for a study, a thorough analysis of the relevant health service environment is an important additional objective for the pilot study.

Growth of transcendental meditation: a sociological study

Sociology, in concerning itself with methodology and cultural determinism,may have overlooked the value of human experience in determining social action. We feel that the structural-functionalist point of view is not mutually exclusive with that of symbolic interaction theory. The field of collective behavior has not adequately explained a certain incidence of human activity called Transcendental Meditation. This paper will define Transcendental Meditation in sociological terms and explore its growth in terms of structural-functionalism,as well as in terms of the symbol-making faculty of human experience. In the first chapter, the author will state his biases and background as well as the problem and purpose of the paper. In the second chapter, Transcendental Meditation will be defined through an explanation of its concepts in sociological terms. A view of the TM program will also be reported. Following this in the third chapter, the origins of TM will be discussed~showing its basis to be in a tradition of Indian gurus and following its development in the United states until the present. The history of TM will proceed through biography of leading figures, with special mention of innovations in the TM institution of teaching and events in the growth of the 'movement' of TOO that are of key importance. Having set down the history of TM, in the fourth chapter we will discuss TM in terms of various sociological models. We will try to identify TM as either a social movement; a charismatic organization or a bureaucracy. In the fifth chapter we will look more closely at the structure of the organization that teaches TM in regard to its own functioning; that is, compliance, communication, socialization and recruitment, and also in regard to its relationship with national institutions, such as military, industry, religion, and government. Finally, we will explore TM in terms of individual and group goals and offer an explanation defining the growth of TM. Throughout-the paper, sociological perspectives will be applied to phenomena that exist in the society today. It is not within the scope of this paper to verify all the sociological implications and appraisals offered. It is hoped that this will not invalidate the ensuing discussion. It is also hoped that this paper will expand the horizons of sociology and offer some direction in future studies of collective behavior. If this is accomplished, the author will be gratified and indebted to his teachers. If not the author takes full responsibility. This paper is dedicated therefore to Mr. Birge, Mr Morrione, Mr. Geib as well as to my parents who have encouraged me, my friends whom I have interviewed, and to His Holiness, Maharishi Mahesh Yogi whose teaching has uplifted hundred of thousands of people in the world and may bring about the development of new thresholds of peace and prosperity for mankind.

Interlink decision making index (IDMI) -- a simple tool/concept to assist decision making for sustainability Part 1: definition of IDMI

There is an apparent gap between the LCA or other assessment's outcomes and its effective application in the decision making process. It is needed to provide to the decision makers a simple, less human interfered mechanism that integrates all the key criteria (environmental, economic, technical and safety etc.). The proposed index: Interlink Decision Making Index (IDMI) has all these features: simple, interlink (all criteria) and automatically and quantified influence of critical criteria (ie. no human weighting needed) and is able to assist the multi-criteria decision making for sustainability based on the outcomes of specific assessments (eg. LCA, ElA etc.). The index represents a pure numerical value and does not necessarily have any physical meanings, but it reflects the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria (CC) have been chosen. Then, without arbitrarily weighting process, the comparison and selection of the best possible option, ie. decision can be made based on the derived IDMI results. Two hypothetical examples are presented in part 2 of the paper to demonstrate the application of the IDMI concept and it's differences with the traditional "tabular method" in the decision making process.

Historical dynamics of the fur seal population : evidence of regulation by man?

The Australian fur seal (Arctocephalus pusillus doriferus) was severely over-exploited in the 18th and 19th centuries and until relatively recently its population had remained steady at well below estimated presealing levels. However, the population is now increasing rapidly (6%–20% per annum) throughout its range and there is a need to understand its dynamics in order to assess the potential extent and impact of interactions with fisheries. Age distribution (n = 156) and pregnancy rate (n = 110) were determined for adult females collected at a breeding colony on Seal Rocks, southeast Australia, in 1971–1972. Mean ± SE and maximum observed ages were 9.37 ± 0.41 and 20 years (n = 1), respectively. A stochastic modelling approach was used to fit an age distribution to the observed age-structure data and calculate rates of recruitment and adult survival. Annual adult female survival and recruitment rates between 1954 and 1971 were 0.478 ± 0.029 (mean ± SE) and 0.121 ± 0.007, respectively, suggesting that the population was experiencing a decline during the 1960s. The pregnancy rate increased from 78% at 3 years of age to an average of 85% between 4–13 years of age before significantly decreasing in older females (the oldest was 19 years of age). There was no significant effect of body mass or condition on the probability of a female being pregnant (P > 0.5 in both cases) and the nutritional burden of lactation did not appear to affect pregnancy rates or gestational performance. These findings suggest that the low survivorship was due to density-independent effects such as mortality resulting from interactions with fishers, which are known to have been common at the time. The recent increase in the population is consistent with anecdotal evidence that such interactions have decreased as fishing practices have changed.

The career development year : responding to the emergency nursing shortage in Australia

Background: The Career Development Year (CDY) is a 12 month supported entry program at one health care service in Victoria, Australia. The program targets Division One Registered Nurses with little or no emergency nursing experience. The intent of CDY is to improve recruitment to, and retention in, emergency nursing by educational and experiential preparation for emergency nursing practice.

Method: This study used a retrospective exploratory design to examine recruitment and retention of emergency nurses recruited via CDY (n = 72) and compare these findings with recruitment and retention data for a cohort of non-CDY participants (n = 15). CDY data was collected by self-report questionnaires. Descriptive statistics, correlations and inferential statistics were calculated using SPSS.

Results: CDY was found to promote recruitment of novice nurses to emergency nursing, with almost half the respondents (n = 25, 48.1%) reporting they would not have entered emergency nursing were it not for the supported entry program. Further, comparison with non-CDY participants revealed that CDY promoted retention within emergency nursing, with both short-term (n = 47, 90.4% vs. n = 8, 53.4%) and long-term retention doubling (n = 50, 96.1% vs. n = 7, 46.6%) following the introduction of CDY.

Conclusion: CDY was a valuable recruitment tool and successful retention strategy in the ED. Future research using a larger sample may demonstrate potential applicability to other clinical areas.

A clustering based hybrid system for mass spectrometry data analysis

Recently, much attention has been given to the mass spectrometry (MS) technology based disease classification, diagnosis, and protein-based biomarker identification. Similar to microarray based investigation, proteomic data generated by such kind of high-throughput experiments are often with high feature-to-sample ratio. Moreover, biological information and pattern are compounded with data noise, redundancy and outliers. Thus, the development of algorithms and procedures for the analysis and interpretation of such kind of data is of paramount importance. In this paper, we propose a hybrid system for analyzing such high dimensional data. The proposed method uses the k-mean clustering algorithm based feature extraction and selection procedure to bridge the filter selection and wrapper selection methods. The potential informative mass/charge (m/z) markers selected by filters are subject to the k-mean clustering algorithm for correlation and redundancy reduction, and a multi-objective Genetic Algorithm selector is then employed to identify discriminative m/z markers generated by k-mean clustering algorithm. Experimental results obtained by using the proposed method indicate that it is suitable for m/z biomarker selection and MS based sample classification.

Performance of smart antennas with receive diversity in wireless sensor networks

In this paper we propose a Geometrically Based Single Bounce Elliptical Model (GBSBEM) for multipath components involving randomly placed scatterers in the scattering region with sensors deployed on a field. The system model assumes a cluster based wireless sensor network (WSN) which collects information from the sensors, filters and modulates the data and transmit it through a wireless channel to be collected at the receiver. We first develop a GBSBE model and based on this model we develop our channel model. Use of Smart antenna system at the receiver end, which exploits various receive diversity combining techniques like Maximal Ratio Combining (MRC), Equal Gain Combining (EGC), and Selection Combining (SC), adds novelty to this system. The performance of these techniques have been proved through matlab simulations and further ahead based on different number of antenna elements present at the receiver array, we calculate the performance of our system in terms of bit-error-rate (BER). Based on the transmission power we quantify for the energy efficiency of our communication model.