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.

Incorporating a knowledge perspective into security risk assessments

Purpose – Many methodologies exist to assess the security risks associated with unauthorized leakage, modification and interruption of information used by organisations. This paper argues that these methodologies have a traditional orientation towards the identification and assessment of technical information assets. This obscures key risks associated with the cultivation and deployment of organisational knowledge. The purpose of this paper is to explore how security risk assessment methods can more effectively identify and treat the knowledge associated with business processes.

Design/methodology/approach – The argument was developed through an illustrative case study in which a well-documented traditional methodology is applied to a complex data backup process. Follow-up interviews were conducted with the organisation’s security managers to explore the results of the assessment and the nature of knowledge “assets” within a business process.

Findings – It was discovered that the backup process depended, in subtle and often informal ways, on tacit knowledge to sustain operational complexity, handle exceptions and make frequent interventions. Although typical information security methodologies identify people as critical assets, this study suggests a new approach might draw on more detailed accounts of individual knowledge, collective knowledge and their relationship to organisational processes.

Originality/value – Drawing on the knowledge management literature, the paper suggests mechanisms to incorporate these knowledge-based considerations into the scope of information security risk methodologies. A knowledge protection model is presented as a result of this research. This model outlines ways in which organisations can effectively identify and treat risks around process knowledge critical to the business.

A naïve, salience-based method for speaker identification in fiction books

This paper presents a salience-based technique for the annotation of directly quoted speech from fiction text. In particular, this paper determines to what extent a naïve (without the use of complex machine learning or knowledge-based techniques) scoring technique can be used for the identification of the speaker of speech quotes. The presented technique makes use of a scoring technique, similar to that commonly found in knowledge-poor anaphora resolution research, as well as a set of hand-coded rules for the final identification of the speaker of each quote in the text. Speaker identification is shown to be achieved using three tasks: the identification of a speech-verb associated with a quote with a recall of 94.41%; the identification of the actor associated with a quote with a recall of 88.22%; and the selection of a speaker with an accuracy of 79.40%.

The association between investigative interviewers' knowledge of question type and adherence to best-practice interviewing

It is well established that not all investigative interviewers adhere to ‘best-practice’ interview guidelines (i.e., the use of open-ended questions) when interviewing child witnesses about abuse. However, little research has examined the sub skills associated with open question usage. In this article, we examined the association between investigative interviewers' ability to identify various types of questions and adherence to open-ended questions in a standardized mock interview. Study 1, incorporating 27 trainee police interviewers, revealed positive associations between open-ended question usage and two tasks; a recognition task where trainees used a structured protocol to guide their response and a recall task where they generated examples of open-ended questions from memory. In Study 2, incorporating a more heterogeneous sample of 40 professionals and a different training format and range of tests, positive relationships between interviewers' identification of questions and adherence to best-practice interviewing was consistently revealed. A measure of interviewer knowledge about what constitutes best-practice investigative (as opposed to knowledge of question types) showed no association with interviewer performance. The implications of these findings for interviewer training programs are discussed.

Reliable knowledge discovery with a minimal causal model inducer

This paper presents a Minimal Causal Model Inducer that can be used for the reliable knowledge discovery. The minimal-model semantics of causal discovery is an essential concept for the identification of a best fitting model in the sense of satisfactory consistent with the given data and be the simpler, less expressive model. Consistency is one of major measures of reliability in knowledge discovery. Therefore to develop an algorithm being able to derive a minimal model is an interesting topic in the are of reliable knowledge discovery. various causal induction algorithms and tools developed so far can not guarantee that the derived model is minimal and consistent. It was proved the MML induction approach introduced by Wallace, Keven and Honghua Dai is a minimal causal model learner. In this paper, we further prove that the developed minimal causal model learner is reliable in the sense of satisfactory consistency. The experimental results obtained from the tests on a number of both artificial and real models provided in this paper confirm this theoretical result.

Identification of 100 fundamental ecological questions

Fundamental ecological research is both intrinsically interesting and provides the basic knowledge required to answer applied questions of importance to the management of the natural world. The 100th anniversary of the British Ecological Society in 2013 is an opportune moment to reflect on the current status of ecology as a science and look forward to high-light priorities for future work. To do this, we identified 100 important questions of fundamental importance in pure ecology. We elicited questions from ecologists working across a wide range of systems and disciplines. The 754 questions submitted (listed in the online appendix) from 388 participants were narrowed down to the final 100 through a process of discussion, rewording and repeated rounds of voting. This was done during a two-day workshop and thereafter. The questions reflect many of the important current conceptual and technical pre-occupations of ecology. For example, many questions concerned the dynamics of environmental change and complex ecosystem interactions, as well as the interaction between ecology and evolution. The questions reveal a dynamic science with novel subfields emerging. For example, a group of questions was dedicated to disease and micro-organisms and another on human impacts and global change reflecting the emergence of new subdisciplines that would not have been foreseen a few decades ago. The list also contained a number of questions that have perplexed ecologists for decades and are still seen as crucial to answer, such as the link between population dynamics and life-history evolution. Synthesis. These 100 questions identified reflect the state of ecology today. Using them as an agenda for further research would lead to a substantial enhancement in understanding of the discipline, with practical relevance for the conservation of biodiversity and ecosystem function.

Knowledge and perceptions of newly graduated medical practitioners in Malaysia of their role in medical care of people with developmental disabilities

Improving content and consistency on developmental disabilities in undergraduate medical curricula has been recommended as a means of improving health outcomes for people with developmental disabilities. Although often the subject of studies in Western countries, little is known about content on developmental disabilities in undergraduate curricula in developing countries. A study was undertaken to: (1) explore content and experience with developmental disabilities received in undergraduate training by medical practitioners in Malaysia; and (2) explore perceptions of their role in the identification and management of developmental disabilities in practice. Comparisons were made according to location of training. Data were collected using a 107-item questionnaire that was administered to 230 newly graduated house officers on their first rotations in seven public hospitals in Peninsula Malaysia. Deficits and inconsistencies were indicated in both content and experience of developmental disabilities during training. Uncertainty about their role in the identification and management of developmental disabilities was evident. Greater inconsistencies and deficits were evident for respondents trained in Eastern and Middle Eastern countries compared with those trained in Malaysia and Western countries. Results suggest a need for increased content, consistency, and intentional exposure in relation to developmental disabilities during undergraduate training across all training settings.

Cluster identification and separation in the growing self-organizing map: application in protein sequence classification

Growing self-organizing map (GSOM) has been introduced as an improvement to the self-organizing map (SOM) algorithm in clustering and knowledge discovery. Unlike the traditional SOM, GSOM has a dynamic structure which allows nodes to grow reflecting the knowledge discovered from the input data as learning progresses. The spread factor parameter (SF) in GSOM can be utilized to control the spread of the map, thus giving an analyst a flexibility to examine the clusters at different granularities. Although GSOM has been applied in various areas and has been proven effective in knowledge discovery tasks, no comprehensive study has been done on the effect of the spread factor parameter value to the cluster formation and separation. Therefore, the aim of this paper is to investigate the effect of the spread factor value towards cluster separation in the GSOM. We used simple k-means algorithm as a method to identify clusters in the GSOM. By using Davies–Bouldin index, clusters formed by different values of spread factor are obtained and the resulting clusters are analyzed. In this work, we show that clusters can be more separated when the spread factor value is increased. Hierarchical clusters can then be constructed by mapping the GSOM clusters at different spread factor values.

Iridoviruses of copepods: their identification, estuarine ecology and host histopathology

Zooplankton Invertebrate Iridescent viruses (ZoopIIVs: Iridoviridae) were discovered infecting copepods. Assays were developed for monitoring an infectious ZoopIIV; and the virus ultrastructure and host infection sites were described. The pioneering work has advanced research methods and our knowledge of infectious viruses in the zooplankton that provide critical ecosystem services globally