Adapting low intensity CBT interventions for clients with severe mental illness

Many people with severe mental illness (SMI) such as schizophrenia, whose psychotic symptoms are effectively managed, continue to experience significant functional problems. This chapter argues that low intensity (LI) cognitive behaviour therapy (CBT; e.g. for depression, anxiety, or other issues) is applicable to these clients, and that LI CBT can be consistent with long-term case management. However, adjustments to LI CBT strategies are often necessary and boundaries between LI CBT and high intensity (HI) CBT (with more extensive practitioner contact and complexity) may become blurred. Our focus is on LI CBT's self-management emphasis, its restricted content and segment length, and potential use after limited training. In addition to exploring these issues, it draws on the authors' Collaborative Recovery (CR; Oades et al. 2005) and 'Start Over and Survive' programs (Kavanagh et al. 2004) as examples. ----- ----- Evidence for the effectiveness of LI CBT with severe mental illness is often embedded within multicomponent programs. For example, goal setting and therapeutic homework are common components of such programs, but they can also be used as discrete LI CBT interventions. A review of 40 randomised controlled trials involving recipients with schizophrenia or other sever mental illnesses has identified key components of illness management programs (Mueser et al. 2002). However, it is relatively rare for specific components of these complex interventions to be assessed in isolation. Given these constraints, the evidence for specific LI CBT interventions with severe mental ilnness is relatively limited.

Brief motivational interviewing for depression and anxiety

Motivational interviewing (MI)can be applied as a brief, low intensity (LI) intervention of 1-4 individualised sessions (typically 45-60 minutes in duration), including screening, assessment feedback, and psycho-education. MI is a client-centred, directive therapeutic style that enhances readiness for change by helping clients explore and resolve ambivalence (Miller and Rollnick 2002). A summary of the key components of brief MI interventions is provided in Table 16.1. There is a well-established evidence base for MI in the treatment of substance misuse (particularly alcohol misuse; Moyer et al. 2002), as well as a growing evidence for the use of MI in the treatment of other mental disorders (e.g. depression, PTSD, OCD), as well as suicidality and physical health problems (Hettema et al. 2005). Brief MI intervention can be delivered as a standalone treatment or as a motivational prelude to pharmacological and/or other psychological treatments (Hettema et al. 2005). MI has been used as an accompaniment to cognitive behavioural therapy (CBT) in the treatment of both depression and anxiety for resolving ambivalence about change and developing strategies for responding to resistance (e.g. treatment attendance, homework/medication compliance; Arkowitz et al. 2008a, 2008b). This chapter will describe how to apply brief MI interventions to the treatment of depression and anxiety as applied to the case of Megan (see Box 16.1) along with some of the challenges and potential solutions to applying MI in practice.

Motivations and intentions : a case study of design-led activism

With a focus on intention and motivation, this paper describes a study involving three organisational communities and their collective effort to develop and provide more inclusive housing for people with disabilities and their families. While many studies, such as that by Rocha & Miles (2009), focus on commercial organisations, and sustainability from an economic perspective, this study involves a not-for-profit organisation (the accommodation and service provider) as well as a research organisation and a design action group volunteering their services free of charge. From this pro-bono context, the paper describes a case study that explores the nature of the collective as a basis for creative practice and political activism and the theoretical implications and wider application in terms of emerging research in the area of collaborative entrepreneurship and design activism.

Utilising semantic tags in XML clustering

This paper presents an overview of the experiments conducted using Hybrid Clustering of XML documents using Constraints (HCXC) method for the clustering task in the INEX 2009 XML Mining track. This technique utilises frequent subtrees generated from the structure to extract the content for clustering the XML documents. It also presents the experimental study using several data representations such as the structure-only, content-only and using both the structure and the content of XML documents for the purpose of clustering them. Unlike previous years, this year the XML documents were marked up using the Wiki tags and contains categories derived by using the YAGO ontology. This paper also presents the results of studying the effect of these tags on XML clustering using the HCXC method.

Overview of the INEX 2010 focused relevance feedback track

The INEX 2010 Focused Relevance Feedback track offered a refined approach to the evaluation of Focused Relevance Feedback algorithms through simulated exhaustive user feedback. As in traditional approaches we simulated a user-in-the loop by re-using the assessments of ad-hoc retrieval obtained from real users who assess focused ad-hoc retrieval submissions. The evaluation was extended in several ways: the use of exhaustive relevance feedback over entire runs; the evaluation of focused retrieval where both the retrieval results and the feedback are focused; the evaluation was performed over a closed set of documents and complete focused assessments; the evaluation was performed over executable implementations of relevance feedback algorithms; and �finally, the entire evaluation platform is reusable. We present the evaluation methodology, its implementation, and experimental results obtained for nine submissions from three participating organisations.

Clone detection in repositories of business process models

As organizations reach to higher levels of business process management maturity, they often find themselves maintaining repositories of hundreds or even thousands of process models, representing valuable knowledge about their operations. Over time, process model repositories tend to accumulate duplicate fragments (also called clones) as new process models are created or extended by copying and merging fragments from other models. This calls for methods to detect clones in process models, so that these clones can be refactored as separate subprocesses in order to improve maintainability. This paper presents an indexing structure to support the fast detection of clones in large process model repositories. The proposed index is based on a novel combination of a method for process model decomposition (specifically the Refined Process Structure Tree), with established graph canonization and string matching techniques. Experiments show that the algorithm scales to repositories with hundreds of models. The experimental results also show that a significant number of non-trivial clones can be found in process model repositories taken from industrial practice.

Discriminative optimisation of the figure of merit for phonetic spoken term detection

This work proposes to improve spoken term detection (STD) accuracy by optimising the Figure of Merit (FOM). In this article, the index takes the form of phonetic posterior-feature matrix. Accuracy is improved by formulating STD as a discriminative training problem and directly optimising the FOM, through its use as an objective function to train a transformation of the index. The outcome of indexing is then a matrix of enhanced posterior-features that are directly tailored for the STD task. The technique is shown to improve the FOM by up to 13% on held-out data. Additional analysis explores the effect of the technique on phone recognition accuracy, examines the actual values of the learned transform, and demonstrates that using an extended training data set results in further improvement in the FOM.

Will insulation always bring benefits in energy saving and thermal comfort?

Building insulation is often used to reduce the conduction heat transfer through building envelope. With a higher level of insulation (or a greater R-value), the less the conduction heat would transfer through building envelope. In this paper, using building computer simulation techniques, the effects of building insulation levels on the thermal and energy performance of a sample air-conditioned office building in Australia are studied. It is found that depending on the types of buildings and the climates of buildings located, increasing the level of building insulation will not always bring benefits in energy saving and thermal comfort, particularly for internal-load dominated office buildings located in temperate/tropical climates. The possible implication of building insulation in face of global warming has also been examined. Compared with the influence of insulation on building thermal performance, the influence on building energy use is relatively small.

Overview of the INEX 2010 XML mining track : clustering and classification of XML documents

The XML Document Mining track was launched for exploring two main ideas: (1) identifying key problems and new challenges of the emerging field of mining semi-structured documents, and (2) studying and assessing the potential of Machine Learning (ML) techniques for dealing with generic ML tasks in the structured domain, i.e., classification and clustering of semi-structured documents. This track has run for six editions during INEX 2005, 2006, 2007, 2008, 2009 and 2010. The first five editions have been summarized in previous editions and we focus here on the 2010 edition. INEX 2010 included two tasks in the XML Mining track: (1) unsupervised clustering task and (2) semi-supervised classification task where documents are organized in a graph. The clustering task requires the participants to group the documents into clusters without any knowledge of category labels using an unsupervised learning algorithm. On the other hand, the classification task requires the participants to label the documents in the dataset into known categories using a supervised learning algorithm and a training set. This report gives the details of clustering and classification tasks.

Integrated literacies : every online player wins a prize

QUT Library’s model of learning support brings together academic literacy (study skills) and information literacy (research skills). The blended portfolio enables holistic planning and development, seamless services, connected learning resources and more authentic curriculum-embedded education. The model reinforces the Library’s strategic focus on learning service innovation and active engagement in teaching and learning. ----- ----- ----- The online learning strategy is a critical component of the broader literacies framework. This strategy unifies new and existing online resources (e.g.: Pilot, QUT cite|write and IFN001|AIRS Online) to augment learner capability. Across the suite, prudent application of emerging technologies with visual communications and learning design delivers a wide range of adaptive study tools. Separately and together, these resources meet the learning needs and styles of a diverse cohort providing positive and individual learning opportunities. Deliberate articulation with strategic directions regarding First Year Experience, assessment, retention and curriculum alignment assures that the Library’s initiatives move in step with institutional objectives relating to enhancing the student experience and flexible blended learning. ----- ----- ----- The release of Studywell in 2010 emphasises the continuing commitment to blended literacy education. Targeting undergraduate learners (particularly 1st year/transition), this online environment provides 24/7 access to practical study and research tools. Studywell’s design and application of technology creates a “discovery infrastructure” [1] which facilitates greater self-directed learning and interaction with content. ----- ----- ----- This paper presents QUT Library’s online learning strategy within the context of the parent “integrated literacies” framework. Highlighting the key online learning resources, the paper describes the inter-relationships between those resources to develop complementary literacies. The paper details broad aspects of the overarching learning and study support framework as well as the online strategy, including strategic positioning, quality and evaluation processes, maintenance, development, implementation, and client engagement and satisfaction with the learning resources.

Similarity metrics within a point of view

In vector space based approaches to natural language processing, similarity is commonly measured by taking the angle between two vectors representing words or documents in a semantic space. This is natural from a mathematical point of view, as the angle between unit vectors is, up to constant scaling, the only unitarily invariant metric on the unit sphere. However, similarity judgement tasks reveal that human subjects fail to produce data which satisfies the symmetry and triangle inequality requirements for a metric space. A possible conclusion, reached in particular by Tversky et al., is that some of the most basic assumptions of geometric models are unwarranted in the case of psychological similarity, a result which would impose strong limits on the validity and applicability vector space based (and hence also quantum inspired) approaches to the modelling of cognitive processes. This paper proposes a resolution to this fundamental criticism of of the applicability of vector space models of cognition. We argue that pairs of words imply a context which in turn induces a point of view, allowing a subject to estimate semantic similarity. Context is here introduced as a point of view vector (POVV) and the expected similarity is derived as a measure over the POVV's. Different pairs of words will invoke different contexts and different POVV's. Hence the triangle inequality ceases to be a valid constraint on the angles. We test the proposal on a few triples of words and outline further research.

Producing better outcomes : music and public services

Music has played an important role in social life for thousands of years, and its varied forms of communication have significantly influenced the types of public services reported in this book. It is now time for practitioners and academics to sing songs of resilience that reinvigorate the public’s understanding of the positive role music can play in all of our lives, and for public services to better resource music projects. The last twenty years have seen major advances in studies of music and its affects on the brain’s neuroplasticity, but as yet no one has managed to provide a comprehensive response to Oliver Sachs’ (2006) question: why does music, for better or worse, have so much power? This chapter seeks to demonstrate the power of those music making experiences that bridge the gap between the physicaland social sciences across commercial, social and cultural contexts.

Resourcing resilience through recreational music programs

Many music programs in Australia deliver a United States (US) package created by the Recreational Music-Making Movement, founded by Karl Bruhn and Barry Bittman. This quasi-formal group of music makers, academics and practitioners uses the logic of decentralised global networks to connect with local musicians, offering them benefits associated with their ‘Recreational Music Program’ (RMP). These RMPs encapsulate the broad goals of the movement, developed in the US during the 1980s, and now available as a package, endorsed by the National Association of Music Merchants (NAMM), for music retailers and community organisations to deliver locally (Bittman et al., 2003). High participation rates in RMPs have been historically documented amongst baby boomers with disposable income. Yet the Australian programs increasingly target marginalised groups and associated funding sources, which in turn has lowered the costs of participation. This chapter documents how Australian manifestations of RMPs presently report on the benefits of participation to attract cross-sector funding. It seeks to show the diversity of participants who claim to have developed and accessed resources that improve their capacity for resilience through recreational music performance events. We identify funding issues pertaining to partnerships between local agencies and state governments that have begun to commission such music programs. Our assessment of eight Australian RMPs includes all additional music groups implemented since the first program, their purposes and costs, the skills and coping strategies that participants developed, how organisers have reported on resources, outcomes and attracted funding. We represent these features through a summary table, standard descriptive statistics and commentaries from participants and organisers.