How organisations know what they know : a survey of knowledge identification methods among Australian organisations

Literature surrounding the Knowledge Management process of identifying what knowledge exists within an organisation is scarce. This research project set out to fill the research gaps surrounding that particular Knowledge Management process called Knowledge Identification. This paper reports on the findings of a survey sent to 973 Australian organisations to investigate their Knowledge Identification practices. The survey findings show that while organisations do perceive Knowledge Identification to be important, the practice of KI has not reached mainstream adoption yet. The reasons why and why not, and the range of methods organisations currently use to establish what knowledge exists within their four walls are identified. The survey findings also reveal two opposing approaches organisations take in practising KI: proactive KI and reactive KI.

Strategic knowledge for the identification and construction of goal states

There is widespread recognition that goal recognition strategies, in the context of structural analysis and cognitive (user) models, represent a major field of contemporary research into discourse understanding. This thesis reports a goal interpretation paradigm that embraces both a novel goal structure formalism and strategic knowledge. The goal interpretation processes involve the identification of goal primitives and the construction of goal states. The mechanisms developed for goal interpretation rely on explicit goal recognition (selection) and confirmation of feasibility. A goal state contains all the information required by the planner. By constructing a goal state, the chance of failure in planning is greatly reduced and the efficiency of the planning system is vastly improved. These mechanisms are not limited to inference. Other mechanisms are reported include goal structure processing, goal primitives identification and searching strategies, extended heuristic classification method and a new conceptual graph operation (i.e. SPLIT).

A pHMM-ANN based discriminative approach to promoter identification in prokaryote genomic contexts

The computational approach for identifying promoters on increasingly large genomic sequences has led to many false positives. The biological significance of promoter identification lies in the ability to locate true promoters with and without prior sequence contextual knowledge. Prior approaches to promoter modelling have involved artificial neural networks (ANNs) or hidden Markov models (HMMs), each producing adequate results on small scale identification tasks, i.e. narrow upstream regions. In this work, we present an architecture to support prokaryote promoter identification on large scale genomic sequences, i.e. not limited to narrow upstream regions. The significant contribution involved the hybrid formed via aggregation of the profile HMM with the ANN, via Viterbi scoring optimizations. The benefit obtained using this architecture includes the modelling ability of the profile HMM with the ability of the ANN to associate elements composing the promoter. We present the high effectiveness of the hybrid approach in comparison to profile HMMs and ANNs when used separately. The contribution of Viterbi optimizations is also highlighted for supporting the hybrid architecture in which gains in sensitivity (+0.3), specificity (+0.65) and precision (+0.54) are achieved over existing approaches.

Knowledge enhancement in the change process : social marketing and attitude change leading to improved environmental behaviour

The complexity of relationships between social change and natural resource management has generated interest in the identification of indicators that might provide more streamlined means of monitoring and planning control programmes. This case study highlights the marketing paradigms of benchmarking and social marketing in a not-for-profit governmental environment. Publicly funded programs that require individual and community participation need to be marketed with a view to optimising involvement and commitment of the various stakeholders. A mail survey with a representative sample of 608 respondents was conducted to evaluate the effectiveness of a social marketing program. This study highlights the use of social marketing in a program to overcome an environmental issue by a governmental agency. Changing attitudes and beliefs takes time and often the target audience may not even know they have a problem that needs fixing. This process influences the focus of the social marketing effort which might be organised into three phases: • Raise awareness and knowledge.   •Change attitudes.  • Encourage action. The research conducted in this study illustrates how the various stages in the social marketing process were achieved through knowledge enhancement in an environmental management case study.

Using bioinformatics techniques for gene identification in drug discovery and development

As more and more evidence has become available, the link between gene and emergent disease has been made including cancer, heart disease and parkinsonism. Analyzing the diseases and designing drugs with respect to the gene and protein level obviously help to find the underlying causes of the diseases, and to improve their rate of cure. The development of modern molecular biology, biochemistry, data collection and analysis techniques provides the scientists with a large amount of gene data. To draw a link between genes and their relation to disease outcomes and drug discovery is a big challenge: How to analyze large datasets and extract useful knowledge? Combining bioinformatics with drug discovery is a promising method to tackle this issue. Most techniques of bioinformatics are used in the first two phases of drug discovery to extract interesting information and find important genes and/or proteins for speeding the process of drug discovery, enhancing the accuracy of analysis and reducing the cost. Gene identification is a very fundamental and important technique among them. In this paper, we have reviewed gene identification algorithms and discussed their usage, relationships and challenges in drug discovery and development.

Who owns pedagogy? (Re)locating pedagogy and pedagogical content knowledge

This paper draws upon a study in Victoria, Australia which investigated pedagogical understandings and practices specific to three domains: Science, Thinking and ICT. Teachers working in these three domains and key stakeholders from the profession participated in focus group and individual interviews. This study explored the pedagogical knowledge particular to each of these three domains, and common pedagogical knowledges across the domains. Participants in each domain claimed the distinctive nature of their domain and therefore the distinctive nature of their pedagogical content knowledge (PCK). A final common thread was the identification of teacher strategies as a substantial part of pedagogy. The key issues arising from this study are the implications of ascribing pedagogy to particular disciplines and the future possibilities for a curriculum reform agenda within a regressive pedagogical climate.

Ethics and self-knowledge in corruption related decision making

The nature of corruption in international business is briefly considered and several types of bribes are distinguished. Two managerial decision-models are then proposed, in order to assist international managers faced with corruption-related situations. The first model is based upon an ethical analysis and it conditionally endorses some types of facilitating-payment. The second is based upon a psychological analysis and it involves identification and classification of the generic consequences of bribe payments. The two models are intended to form part of a wider and multifaceted approach to reducing corruption.

Policy framework for a knowledge society : families and knowledge

My thesis examines the link between families, harm and knowledge in a society where knowledge is increasingly the central organising principle (Bohme 1997: 449-450; Stehr 1994: 6), and represents the capacity for action (Stehr 1994: 8). I observed as a consultant in the 1990s that practitioners in family work were able to articulate what works but often unable to articulate why and therefore unable easily to replicate what works. This time coincided with increasing commentary on complexities of living, capacity of families to cope, identification of the scale of family harm, and use of the term 'the knowledge society'. My aim is to identify why what works, works with families exhibiting harmful behaviours and families acquiring knowledge from learning everyday life skills so as to lead less harmful and more fulfilling lives. And by such explanations inform, replicate and scale up practice to benefit more families exhibiting harm. I conceptualise the outcome as a sequence of family, community and policy work in an ecological framework (Bronfenbrenner 1979) within a knowledge society. My method was a year-long action research project with a family support service in New South Wales. I engaged in reflective practice with workers, and a parallel literature review that supported additional reflective practice. I found growing complexity of life requires growing knowledge. I found a distinction between everyday and abstract life worlds, and with families principally acting in the everyday life world. It is a world from which some families and their members seek to escape, often by means of harmful behaviours of neglect, abuse and violence. I substantiated the link that the family support service of my study sees between relationships, behaviours and affects; and I linked this in turn with its therapeutic engagement of the whole family — adults and children, male and female, victims and perpetrators. This engagement involves a process of learning (Rogers 1967: 280) to acquire fulfilling behaviours. It is a process of adult and experiential learning of relationship skills, drawing on under-used reserves of families. Relationship skills form a basis of acquiring other life skills since most require relationships with others to perform life skills. Combining the sequence of family, community and policy work with workers engaging in reflective practice of their work creates capacity for community institutions to replicate and scale up what works and why. Understanding this sequence may assist community institutions to inform policymakers of benefits common to all policy interests of such replication and scaling up. I conceptualise a policy framework of families and knowledge in a knowledge society and two lower level frameworks of process and content of life skills. Implications of these for practice, policy, and theory include a greater distinction between everyday and abstract knowledge and skills; recognition of a sequential process of information, learning, and knowledge; and inclusiveness and fluidity in learning in diverse adult learning settings and in family support professions.

Identification and characterisation of novel genes involved in skeletal muscle hypertrophy

There is mounting evidence in support of the view that skeletal muscle hypertrophy results from the complex and coordinated interaction of numerous signalling pathways. Well characterised components integral to skeletal muscle adaptation include the transcriptional activity of the members of the myogenic regulatory factors, numerous secreted peptide growth factors, and the regenerative potential of satellite cells. Whilst studies investigating isolated components or pathways have enhanced our current understanding of skeletal muscle hypertrophy, our knowledge of how all of these components react in concert to a common stimulus remains limited. The broad aim of this thesis was to identify and characterise novel genes involved in skeletal muscle hypertrophy. We have created a customised human skeletal muscle specific microarray which contains ∼11,000 cDNA clones derived from a normalised human skeletal muscle cDNA library as well as 270 genes with known functional roles in human skeletal muscle. The first aspect of this thesis describes the production of the microarray and evaluates the robustness and reproducibility of this analytical technique. Study one aimed to use this microarray in the identification of genes that are differentially expressed during the forced differentiation of human rhabdomyosarcoma cells, an in vitro model of skeletal muscle development. Firstly using this unique model of aberrant myogenic differentiation we aimed to identify genes with previously unidentified roles in myogenesis. Secondly, the data from this study permitted the examination of the performance of the microarray in detecting differential gene expression in a biological system. We identified several new genes with potential roles in the myogenic arrest of rhabdomyosarcoma and further characterised the expression of muscle specific genes in rhabdomyosarcoma differentiation. In study two, the molecular responses of cell cycle regulators, muscle regulatory factors, and atrophy related genes were mapped in response to a single bout of resistance exercise in human skeletal muscle. We demonstrated an increased expression of MyoD, myogenin and p21, whilst the expression of myostatin was decreased. The results of this study contribute to the existing body of knowledge on the molecular regulation skeletal muscle to a hypertrophic stimulus. In study three, the muscle samples collected in study two were analysed using the human skeletal muscle specific microarray for the identification of novel genes with potential roles in the hypertrophic process. The analysis uncovered four interesting genes (TXNIP, MLP, ASB5, FLJ 38973) that have not previously been examined in human skeletal muscle in response to resistance exercise. The functions of these genes and their potential roles in skeletal muscle are discussed. In study four, the four genes identified in study three were examined in human primary skeletal muscle cell cultures during myogenic differentiation. Human primary skeletal muscle cells were derived from the vastus lateralis muscle of 8 healthy volunteers (6 males and 2 females). Cell cultures were differentiated using serum withdrawal and serum withdrawal combined with IGF-1 supplementation. Markers of the cell proliferation, cell cycle arrest and myogenic differentiation were examined to assess the effectiveness of the differentiation stimulus. Additionally, the expressions of TXNIP, MLP, ASB5 and FLJ 38973 measured in an attempt to characterise further their roles in skeletal muscle. The expression of TXNIP changed markedly in response to both differentiation stimuli, whilst the expression of the remaining genes were not altered. Therefore it was suggested that expression of these genes might be responsive to the mechanical strain or contraction induced by the resistance exercise. In order to examine whether these novel genes responded specifically to resistance type exercise, their expression was examined following a single bout of endurance exercise. The expression of TXNIP, MLP, and FLJ 38973 remained unchanged whilst ASB5 increased 30 min following the cessation of the exercise.

Instructional strategies integrating cognitive style construct : a meta-knowledge processing model

The overarching goal of this dissertation was to evaluate the contextual components of instructional strategies for the acquisition of complex programming concepts. A meta-knowledge processing model is proposed, on the basis of the research findings, thereby facilitating the selection of media treatment for electronic courseware. When implemented, this model extends the work of Smith (1998), as a front-end methodology, for his glass-box interpreter called Bradman, for teaching novice programmers. Technology now provides the means to produce individualized instructional packages with relative ease. Multimedia and Web courseware development accentuate a highly graphical (or visual) approach to instructional formats. Typically, little consideration is given to the effectiveness of screen-based visual stimuli, and curiously, students are expected to be visually literate, despite the complexity of human-computer interaction. Visual literacy is much harder for some people to acquire than for others! (see Chapter Four: Conditions-of-the-Learner) An innovative research programme was devised to investigate the interactive effect of instructional strategies, enhanced with text-plus-textual metaphors or text-plus-graphical metaphors, and cognitive style, on the acquisition of a special category of abstract (process) programming concept. This type of concept was chosen to focus on the role of analogic knowledge involved in computer programming. The results are discussed within the context of the internal/external exchange process, drawing on Ritchey's (1980) concepts of within-item and between-item encoding elaborations. The methodology developed for the doctoral project integrates earlier research knowledge in a novel, interdisciplinary, conceptual framework, including: from instructional science in the USA, for the concept learning models; British cognitive psychology and human memory research, for defining the cognitive style construct; and Australian educational research, to provide the measurement tools for instructional outcomes. The experimental design consisted of a screening test to determine cognitive style, a pretest to determine prior domain knowledge in abstract programming knowledge elements, the instruction period, and a post-test to measure improved performance. This research design provides a three-level discovery process to articulate: 1) the fusion of strategic knowledge required by the novice learner for dealing with contexts within instructional strategies 2) acquisition of knowledge using measurable instructional outcome and learner characteristics 3) knowledge of the innate environmental factors which influence the instructional outcomes This research has successfully identified the interactive effect of instructional strategy, within an individual's cognitive style construct, in their acquisition of complex programming concepts. However, the significance of the three-level discovery process lies in the scope of the methodology to inform the design of a meta-knowledge processing model for instructional science. Firstly, the British cognitive style testing procedure, is a low cost, user friendly, computer application that effectively measures an individual's position on the two cognitive style continua (Riding & Cheema,1991). Secondly, the QUEST Interactive Test Analysis System (Izard,1995), allows for a probabilistic determination of an individual's knowledge level, relative to other participants, and relative to test-item difficulties. Test-items can be related to skill levels, and consequently, can be used by instructional scientists to measure knowledge acquisition. Finally, an Effect Size Analysis (Cohen,1977) allows for a direct comparison between treatment groups, giving a statistical measurement of how large an effect the independent variables have on the dependent outcomes. Combined with QUEST's hierarchical positioning of participants, this tool can assist in identifying preferred learning conditions for the evaluation of treatment groups. By combining these three assessment analysis tools into instructional research, a computerized learning shell, customised for individuals' cognitive constructs can be created (McKay & Garner,1999). While this approach has widespread application, individual researchers/trainers would nonetheless, need to validate with an extensive pilot study programme (McKay,1999a; McKay,1999b), the interactive effects within their specific learning domain. Furthermore, the instructional material does not need to be limited to a textual/graphical comparison, but could be applied to any two or more instructional treatments of any kind. For instance: a structured versus exploratory strategy. The possibilities and combinations are believed to be endless, provided the focus is maintained on linking of the front-end identification of cognitive style with an improved performance outcome. My in-depth analysis provides a better understanding of the interactive effects of the cognitive style construct and instructional format on the acquisition of abstract concepts, involving spatial relations and logical reasoning. In providing the basis for a meta-knowledge processing model, this research is expected to be of interest to educators, cognitive psychologists, communications engineers and computer scientists specialising in computer-human interactions.

Nature, extent and antecedents of risk managment practices in knowledge-intensive firms

This study provides empirical evidence on the nature and extent of risks faced by Small to Medium-Sized Knowledge Intensive Firms (SMKIFs) and the risk management approaches adopted by them. The study also assesses the effects of selected organisational factors such as industry, entity size and risk governance leadership on the commitment by SMKIFs to using an Enterprise Risk Management (ERM) approach. Data was obtained through a questionnaire survey of SMKIFs in the state of Victoria, Australia which were either in the bio-technology (bio-tech) or the accounting and legal (business services) industry sectors. Based on a total of 104 (13%) useable responses from senior managers in charge of risk management, some of the key findings include the identification of the top three risks faced by SMKIFs being (i) potential damage to firm’s reputation, (ii) inability to recruit and retain workers who have appropriate skills and expertise, and (iii) increase in costs. Interestingly, while 51% of the respondents described their firms as being willing to or keen to take risks, 38% saw their firms as being either preferring not to take risks or refuse to take risks, with the remainder of the firms (11%) viewed as neutral. The data also indicates that more than half of the respondent firms (54%) had established either a complete or a partial ERM system. Further, data analysis based on a binary logit regression model indicates bio-techs, firm size and directors’ support of risk management as key predictors of ERM implementation in SMKIFs.

Feature extraction for animal fiber identification

Fiber identification has been a very important task in many industries such as wool growing, textile processing, archaeology, histochernical engineering, and zoology. Over the years, animal fibers have been identified using physical and chemical approaches. Recently, objective identification of animal fibers has been developed based on the cuticular information of fibers. Effective and accurate extraction of representative features is essential to animal fiber identification and classification. In the current work, two different strategies are developed for this purpose. In the first method, explicit features are extracted using image processing. However, only implicit features are used in the second method with an unsupervised artificial neural network. It is found that the use of explicit features increases the accuracy of fiber identification but requires more effort on processing images and solid knowledge of what features are representative ones.

Identification of a by-product of nitric oxide synthase activity in human acute brain injury with in vivo proton magnetic resonance spectroscopy

BACKGROUND AND PURPOSE: Laboratory studies have been used to identify nitric oxide as a notable mediator in neuronal death after acute brain injury. To our knowledge, this has not previously been confirmed with in vivo study in humans. Our purpose was to seek in vivo evidence for the induction of nitric oxide synthase (NOS) in human acute brain injury by using proton MR spectroscopy.

METHODS: In vitro proton MR spectra were obtained in neural extracts from 30 human cadavers, and in vivo spectra were obtained in 20 patients with acute brain injury and in a similar number of control subjects.

RESULTS: We identified a unique peak at 3.15 ppm by using in vivo proton MR spectroscopy in eight of 20 patients with acute brain injury but not in 20 healthy volunteers (P < .002). On the basis of in vitro data, we have tentatively assigned this peak to citrulline, a NOS by-product.

CONCLUSION: To our knowledge, our findings suggest, for the first time, that excitotoxicity may occur in human acute brain injury. Confirmation with the acquisition of spectra in very early acute cerebral injury would provide a rationale for the use of neuroprotective agents in these conditions, as well as a new noninvasive method for quantification.

Towards a knowledge perspective in information security risk assessments - an illustrative case study

Many methodologies exist to assess the security risks associated with unauthorized leakage, modification and interruption of information for a given organisation. We argue that the traditional orientation of these methodologies, towards the identification and assessment of technical information assets, obscures key risks associated with the cultivation and deployment of organisational knowledge. Our argument is developed through an illustrative case study in which a well-documented methodology is applied to a complex data back-up process. This process is seen to depend, in subtle and often informal ways, on knowledge to sustain operational complexity, handle exceptions and make frequent interventions. Although typical information security methodologies identify people as critical assets, we suggest a new approach might draw on more detailed accounts of individual knowledge, collective knowledge, and their relationship to organisational processes. Drawing on the knowledge management literature, we suggest mechanisms to incorporate these knowledge-based considerations into the scope of information security risk methodologies.