Finding a place for health in the schooling process: A challenge for education

It is common in schools for health and education goals to be seen as agendas that are in competition. However schools do attempt to find time in crowded curriculums to cover health issues as part of their responsibility towards advancing the health of their students. A qualitative approach was used in this study to explore perceived outcomes of a Health Promoting School intervention project. The project schools targeted for in-depth study were purposefully sampled to include diversity based on location, level, system and specific health activities. The results showed that the schools involved were moving beyond oppositional constructions of health and education towards approaching health as an element of effective schooling. It is concluded that in any effective health promotion activity in schools, the agenda needs to be driven primarily by an education sector that has demonstrated it can embrace holistic approaches to health, with the health sector acting as partner and facilitator.

Effectively finding relevant web pages from linkage information

This paper presents two hyperlink analysis-based algorithms to find relevant pages for a given Web page (URL). The first algorithm comes from the extended cocitation analysis of the Web pages. It is intuitive and easy to implement. The second one takes advantage of linear algebra theories to reveal deeper relationships among the Web pages and to identify relevant pages more precisely and effectively. The experimental results show the feasibility and effectiveness of the algorithms. These algorithms could be used for various Web applications, such as enhancing Web search. The ideas and techniques in this work would be helpful to other Web-related researches.

Control loop for finding initial translator position of linear synchronous motor

This article presents a simple and reliable method for controlling the relative orientation between the two magnetic fields of a permanent magnet synchronous motor. Finding the initial (at motor powering- up time) value of this relative location is essential for the proper operation of the motor. After showing the system controllability, the utilized feedback control loop finds this initial relative orientation quickly and accurately. Further, using the proposed method allows considerable cost saving, as a transducer that is usually used for this purpose can be eliminated. The cost saving is most obvious in the case of linear motors and angle motors with large diameters. The way the problem is posed is an essential part of this work, and it is the reason behind the apparent simplicity of the solution. The method proposed relies on a single sensor, and it was tested when a relative encoder was used.

Finding voices: authentic learning online in the field of public communication and citizenship

A creative re-acculturation of teachers and students is occurring in virtual classrooms as traditional learning resources, pedagogy, and technology intersect in unexpected ways. This paper reports on a case of authentic, experiential, and constructivist learning developed for tertiary public relations  students. A subject titled ‘Public Communication and Citizenship’ (PCC) at  Deakin University in Australia asked students to examine the problematic and contentious areas of self interest, persuasion, power, and ethics in  contemporary contexts of mass media and globalisation. Feedback from  those students suggests that, in this case, online teaching strategies  successfully integrated with the total learning environment to achieve  higher-order learning. PCC is one example of PR pedagogy combining  theory and technology to move beyond ‘skilling for jobs’.

Finding a 'safe' place on the risk continuum: a case study of pregnancy and birthing in Lao PDR (Lao People's Democratic Republic)

This paper addresses two questions. Firstly: are the risk regimes faced, and perceived, by pregnant women in rural Lao PDR substantially different from those experienced by pregnant women in western societies? Secondly, if the Lao experiences and perceptions are different, can improvements in maternal health in Lao PDR be achieved without Laotians inheriting the risk regimes of late modernity experienced by many women in western societies? Secondary analysis is undertaken of data collected in 2005 for the evaluation of a pilot maternity waiting home in Bolikhan, Lao PDR. The results suggest significantly different risk perceptions and experiences between Lao and western communities, based on contrasting views of embodiment, identity construction and cosmologies. In the Lao rural communities studied, there is little evidence yet of 'risk society' despite the introduction of western technologies and practices to improve maternal mortality and morbidity. It is argued that 'risk society' can be avoided.

Finding the optimal cardinality value for information bottleneck method

Information Bottleneck method can be used as a dimensionality reduction approach by grouping “similar” features together [1]. In application, a natural question is how many “features groups” will be appropriate. The dependency on prior knowledge restricts the applications of many Information Bottleneck algorithms. In this paper we alleviate this dependency by formulating the parameter determination as a model selection problem, and solve it using the minimum message length principle. An efficient encoding scheme is designed to describe the information bottleneck solutions and the original data, then the minimum message length principle is incorporated to automatically determine the optimal cardinality value. Empirical results in the documentation clustering scenario indicates that the proposed method works well for the determination of the optimal parameter value for information bottleneck method.

Losing innocence : finding the line between emotional bonds and boundaries in protective service work

This paper builds on existing literature on the notion of emotional labour by investigating work in a child protective service environment. Notable characteristics of formal organisations, such as child protective services, are that they operate within a legal framework and that workers' professional duties have great influence on clients. This paper examines the intricacies of the worker-client relationship and the emotional dynamics of the service interactions by interviewing a group of workers in a public hospital in Victoria, Australia. This research extricates the complexities in the client-worker relationship by examining a range of work characteristics including their roles as professional caregivers, the emotional bonds and boundaries in the workers-client relationship, the intensity and magnitude of felt and displayed emotions, as well as the self-management of emotions and clients' emotions. This study adds to existing knowledge on the emotional expressions, experiences and regulation of emotions of the professional work lives in a child protective service work environment.
This paper is divided into the following sections. The first section details protective service work within the larger framework of human service work, and how the worker-client interface is different from other front-line service work. This is followed the need to examine the emotional dynamics of work in a child protective service organisation. Next, a study of these emotional dynamics in a child protective service organisation is reported. The paper concludes with a consideration of the wider implications for the sociology of protective service work, and how affective issues differ other service work roles.

Finding rule groups to classify high dimensional gene expression datasets

Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attracted bioinformatics researchers. Some approaches of machine learning are widely used to classify and mine biological datasets. However, many gene expression datasets are extremely high dimensionality, traditional machine learning methods can not be applied effectively and efficiently. This paper proposes a robust algorithm to find out rule groups to classify gene expression datasets. Unlike the most classification algorithms, which select dimensions (genes) heuristically to form rules groups to identify classes such as cancerous and normal tissues, our algorithm guarantees finding out best-k dimensions (genes), which are most discriminative to classify samples in different classes, to form rule groups for the classification of expression datasets. Our experiments show that the rule groups obtained by our algorithm have higher accuracy than that of other classification approaches

Finding short patterns to classify text documents

Many classification methods have been proposed to find patterns in text documents. However, according to Occam's razor principle, "the explanation of any phenomenon should make as few assumptions as possible", short patterns usually have more explainable and meaningful for classifying text documents. In this paper, we propose a depth-first pattern generation algorithm, which can find out short patterns from text document more effectively, comparing with breadth-first algorithm

Cause related marketing-commercialism or altruism: Finding the balance?

The objective of this paper is to describe a framework of questions that may provide guidance as to whether a company (i.e., a for-profit organisation) should engage in Cause Related Marketing (CRM) or not. CRM is an  intriguing concept in which one finds a cause and intertwines one’s  marketing push to sell both the cause and one’s products. The reality is that some companies do focus solely on the profit returns from socially responsible ventures and others do not, therefore, a framework of questions are provided that may guide companies as to whether to pursue a CRM-relationship with a non-profit organisation (i.e., the cause).

Finding motifs in miRNA sequences

Recently, the emergence of non-coding miRNA has attracted biology and computer researchers. miRNA plays an important role in regulation of genes. Finding motifs in RNA is one of important topics. In our work, we attempt to find motifs in mature miRNA from combinations ranging from two to ten nucleotides. Interestingly, we have found several motifs only appear in mature miRNA but not appear in other regions of primary miRNA sequences taken from latest miRNA datasets. The findings of our investigation may help in the building model to predict all possible miRNAs in genomes

Jabulani Africa: celebrating music making and finding meaning in Australia

This paper begins to explore the notion of a South African identity in Australia through community music making. Solbu (cited in Herbst, Nzewi and Agawu, 2003) highlights the strong link between music and society, arguing that, music creates and confirms identity, and challenges cultural and communal borderlines. This paper situates itself in an Australian society that is becoming increasingly globalised and cosmopolitan. The South African Jabulani choir in Melbourne is just one example that illustrates a context of diversity as one that promotes respect for a multicultural society and one that promotes respect for diversity across the community. This paper focuses on the cultural and musical identity of South Africans as a minority group in Australia and offers some perspectives on South Africans in Australia, music and cultural diffusion, identity, and the notion of making music together by people in a community music setting.