Multi-faceted visualisation of worklists

Due to the popularity of modern Collaborative Virtual Environments, there has been a related increase in their size and complexity. Developers therefore need visualisations that expose usage patterns from logged data, to understand the structures and dynamics of these complex environments. This chapter presents a new framework for the process of visualising virtual environment usage data. Major components, such as an event model, designer task model and data acquisition infrastructure are described. Interface and implementation factors are also developed, along with example visualisation techniques that make use of the new task and event model. A case study is performed to illustrate a typical scenario for the framework, and its benefits to the environment development team.

A multi-faceted approach for quantifying the estuarine-nearshore transition in the life cycle of the bull shark, Carcharhinus leucas.

Understanding the ontogenetic habitat linkages of sharks is important for conservation and managing human interactions. We used acoustic telemetry, catch data, elemental and stable isotope signatures and dietary analyses to investigate ontogenetic habitat use in south-east Queensland, Australia, by the bull shark Carcharhinus leucas, a IUCN 'near-threatened' species that is implicated in many shark attacks on humans in urban estuaries. Sequential analyses for delta(15)N and delta(13)C of vertebrae from five adult C. leucas and laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) for elemental composition from 23 C. leucas, including a pregnant female, were also used to trace ontogenetic habitat dependence. Acoustic telemetry indicated large juvenile and subadult C. leucas remained in estuarine habitats. delta(15)N values across shark vertebrae showed an ontogenetic shift in diet with total length (TL), confirmed by stomach contents. LA-ICPMS data reflected the ontogenetic movements of C. leucas from natal habitats. Differences among adults were gender related. Shifts in habitat use by subadults were correlated with a sigmoidal delta(13)C relationship with TL. C. leucas have a multipartite, stage-specific dependency in their transition between habitats along the freshwater-estuarine-marine continuum, making them particularly susceptible to the habitat alteration that is occurring globally.

Salmonella Typhimurium: Insight into the multi-faceted role of the LysR-type transcriptional regulators in Salmonella

The LysR-type transcriptional regulators (LTTRs) are widely distributed in various genera of prokaryotes LTTRs are DNA binding proteins that can positively or negatively regulate target gene expression and can also repress their own transcription Salmonella enterica comprises a group of Gram-negative bacteria capable of causing clinical syndromes that range from self-limiting diarrhoea to severe fibrinopurulent necrotizing enteritis and life threatening systemic disease. The survival and replication of Salmonella in macrophages and in infected host is brought about by the means of various two component regulatory systems, transporters and other virulence islands In Salmonella genome the existence of 44 LTTRs has been documented These LTTRs regulate bacterial stress response. systemic virulence in mice and also many virulence determinants in vitro. Here we focus on the findings that elucidate the structure and function of the LTTRs in Salmonella and discuss the importance of these LTTRs in making Salmonella a Successful pathogen...

Introducing the multi-faceted teaching experiment

A mathematics classroom is comprised of many mathematicians with varying understanding of mathematics knowledge, including the teacher, students and sometimes researchers. To align with this conceptualisation of knowledge and understanding, the multi-faceted teaching experiment will be introduced as an approach to study all classroom participants’ interactions with the shared knowledge of mathematics. Drawing on the experiences of a large curriculum project, it is claimed that, unlike a multi-tiered teaching experiment, the multi-faceted teaching experiment provides a research framework that allows for the study of mathematicians’ building of knowledge in a classroom without privileging the experience of any one participant.

I, Teacher : re-territorialization of teachers’ multi-faceted agency in globalized education

Analysis of teachers' agency as multifarious change, embedded in educational reform in the global era, stands largely unexamined in educational policy. Although the concept of teachers as agents has political implications, beyond this, examining teachers' agency offers ways of describing and reviewing changes to teachers' work and relations within evolving education systems. Local systems draw from globally orientated education policies, which continue to influence to the way that local systems redesign education. In the global context, education systems are complex interactions between structure and agency, evidenced as 'multiplicity undergoing change'. In other words, there is dynamic and dialectic interplay between structure and agency. Teachers' agency, germane to dynamic interplay, means that teachers are not only engaging in the reproduction of structural change aligning globalization-driven reforms to their work and practice, but also, in adapting and reacting to new structural conditions, they are transformed through their actions. In this paper, the focus becomes teachers' agency as a framework for understanding how teachers are redesigned and reassembled to do things differently within restructured education systems. Finally, the discussion considers the possible consequences of teachers work and practice, given teachers' agency relative to the macro policy of superfigures and the transitional national/global structures.

Community of practice and the wider organisation : a multi-faceted KM framework

A conceptual knowledge management (KM) framework was developed and tested. The social bond combined with the expertise of a Community of Practice (CoP) constitutes a bottom-up aproach to KM, at the same time influencing top-down KM efforts by managers. A successful feedback loop between CoP and Management assists in establishing a collaborative and integrated top-down/bottom-up KM strategy.

What shall i share and with whom? A multi-task learning formulation using multi-faceted task relationships

Multi-task learning is a learning paradigm that improves the performance of "related" tasks through their joint learning. To do this each task answers the question "Which other task should I share with"? This task relatedness can be complex - a task may be related to one set of tasks based on one subset of features and to other tasks based on other subsets. Existing multi-task learning methods do not explicitly model this reality, learning a single-faceted task relationship over all the features. This degrades performance by forcing a task to become similar to other tasks even on their unrelated features. Addressing this gap, we propose a novel multi-task learning model that leams multi-faceted task relationship, allowing tasks to collaborate differentially on different feature subsets. This is achieved by simultaneously learning a low dimensional sub-space for task parameters and inducing task groups over each latent subspace basis using a novel combination of L1 and pairwise L∞ norms. Further, our model can induce grouping across both positively and negatively related tasks, which helps towards exploiting knowledge from all types of related tasks. We validate our model on two synthetic and five real datasets, and show significant performance improvements over several state-of-the-art multi-task learning techniques. Thus our model effectively answers for each task: What shall I share and with whom?

A Multi- Faceted, Intensive Family Preservation Program Evaluation

This evaluation of a county intensive family preservation services (ifps) program makes several important methodological contributions to assessing post-treatment placement patterns of ifps clients. It is the first published ifps evaluation that utilizes an interval-level, overall measure of restrictiveness of placement, and one of the few that has followed placement patterns for a full two-years after treatment. The study is also a good example of complementing placement data with measures of family health and stability, and with qualitative feedback from former ifps clients. Finally, this study demonstrates the potential for doing methodologically sound evaluations of local ifps programs.

A multi-faceted diagnostic approach to lung infections in patients with cystic fibrosis

One in 3,000 people in the US are born with cystic fibrosis (CF), a genetic disorder affecting the reproductive system, pancreas, and lungs. Lung disease caused by chronic bacterial and fungal infections is the leading cause of morbidity and mortality in CF. Identities of the microbes are traditionally determined by culturing followed by phenotypic and biochemical assays. It was first thought that the bacterial infections were caused by a select handful of bacteria such as S. aureus, H. influenzae, B. cenocepacia, and P. aeruginosa. With the advent of PCR and molecular techniques, the polymicrobial nature of the CF lung became evident. The CF lung contains numerous bacteria and the communities are diverse and unique to each patient. The total complexity of the bacterial infections is still being determined. In addition, only a few members of the fungal communities have been identified. Much of the fungal community composition is still a mystery. This dissertation addresses this gap in knowledge. A snap shot of CF sputa bacterial community was obtained using the length heterogeneity-PCR community profiling technique. The profiles show that south Florida CF patients have a unique, diverse, and dynamic bacterial community which changes over time. The identities of the bacteria and fungi present were determined using the state-of-the-art 454 sequencing. Sequencing results show that the CF lung microbiome contains commonly cultured pathogenic bacteria, organisms considered a part of the healthy core biome, and novel organisms. Understanding the dynamic changes of these identified microbes will ultimately lead to better therapeutical interventions. Early detection is key in reducing the lung damage caused by chronic infections. Thus, there is a need for accurate and sensitive diagnostic tests. This issue was addressed by designing a bacterial diagnostic tool targeted towards CF pathogens using SPR. By identifying the organisms associated with the CF lung and understanding their community interactions, patients can receive better treatment and live longer.

A Multi-Faceted Diagnostic Approach to Lung Infections in Patients with Cystic Fibrosis

One in 3,000 people in the US are born with cystic fibrosis (CF), a genetic disorder affecting the reproductive system, pancreas, and lungs. Lung disease caused by chronic bacterial and fungal infections is the leading cause of morbidity and mortality in CF. Identities of the microbes are traditionally determined by culturing followed by phenotypic and biochemical assays. It was first thought that the bacterial infections were caused by a select handful of bacteria such as S. aureus, H. influenzae, B. cenocepacia, and P. aeruginosa. With the advent of PCR and molecular techniques, the polymicrobial nature of the CF lung became evident. The CF lung contains numerous bacteria and the communities are diverse and unique to each patient. The total complexity of the bacterial infections is still being determined. In addition, only a few members of the fungal communities have been identified. Much of the fungal community composition is still a mystery. This dissertation addresses this gap in knowledge. A snap shot of CF sputa bacterial community was obtained using the length heterogeneity-PCR community profiling technique. The profiles show that south Florida CF patients have a unique, diverse, and dynamic bacterial community which changes over time. The identities of the bacteria and fungi present were determined using the state-of-the-art 454 sequencing. Sequencing results show that the CF lung microbiome contains commonly cultured pathogenic bacteria, organisms considered a part of the healthy core biome, and novel organisms. Understanding the dynamic changes of these identified microbes will ultimately lead to better therapeutical interventions. Early detection is key in reducing the lung damage caused by chronic infections. Thus, there is a need for accurate and sensitive diagnostic tests. This issue was addressed by designing a bacterial diagnostic tool targeted towards CF pathogens using SPR. By identifying the organisms associated with the CF lung and understanding their community interactions, patients can receive better treatment and live longer.

The Multi-Faceted Experience of Empathy in Intellectual Disability Settings: An IPA Study

This research thesis explored the concept of empathy. The specific purpose was to further understand the idea of empathy in relation to the experience of male support workers who provide residential care to adults with intellectual disabilities (ID) and challenging behaviour. The thesis aimed to provide some insights into how support workers develop and extract meaning from their experiences of relationships with clients and the impact of this on their own self-care, namely, self-compassion. Since personal accounts of experience were required, a qualitative methodology was employed, Interpretative Phenomenological Analysis (IPA) (Smith, 2004). This methodology was selected as it allows for the exploration and interpretation of idiographic lived experience and meaning making. 8 experienced support workers were interviewed using a semi structured interview. Four superordinate themes emerged from the data. These included: 1. Making sense of the others inner world; 2. Processes that enhance empathic practice; 3. Tensions and conflicts, and 4. Management of distressing feelings. Differing accounts of interpreting the needs of clients were identified which helped participants understand, make sense of their interpersonal experience and participate in their role. These included utilising academic knowledge and senses, particularly sight and hearing, which were seemingly complemented by a level of reflective practice. Additionally, to make sense of the experience of a client, they appeared to put themselves in their position, suggesting a form of empathy. Participants appeared to engage in a process of reflection on their relationships with clients, which helped them think about what they had learned about the person’s needs, moreover, this process enabled them to identify some of their own responses and feelings. However, participants seemed to struggle to recognise the occurrence or impact of distressing emotional experience and to express their feelings, possibly in response to a deep sense of responsibility and fear of transferring emotional distress to others. This dilemma of holding two potentially conflicting views of experience seemed to inhibit self-compassion. Although not specifically testing theories of empathy, from the overall findings, it could be suggested that empathy may be a dynamic, transient process that is influenced by reflexivity, values and context. The context in which participants discussed their practice, and situated within their accounts, suggested a sense of confusion and uncertainty. Consequently, it is suggested this impacted on how participants understood and related to clients, and to themselves. There were some specific implications for Counselling Psychology practice, mostly concerning training and supervision. These included recommendations for staff training and supervision, systemic organisational intervention, policy development, recommendations for revisions to models of specialist care frameworks and clinical training.