Sparse representation with multi-manifold analysis for texture classification from few training images

Texture classification is one of the most important tasks in computer vision field and it has been extensively investigated in the last several decades. Previous texture classification methods mainly used the template matching based methods such as Support Vector Machine and k-Nearest-Neighbour for classification. Given enough training images the state-of-the-art texture classification methods could achieve very high classification accuracies on some benchmark databases. However, when the number of training images is limited, which usually happens in real-world applications because of the high cost of obtaining labelled data, the classification accuracies of those state-of-the-art methods would deteriorate due to the overfitting effect. In this paper we aim to develop a novel framework that could correctly classify textural images with only a small number of training images. By taking into account the repetition and sparsity property of textures we propose a sparse representation based multi-manifold analysis framework for texture classification from few training images. A set of new training samples are generated from each training image by a scale and spatial pyramid, and then the training samples belonging to each class are modelled by a manifold based on sparse representation. We learn a dictionary of sparse representation and a projection matrix for each class and classify the test images based on the projected reconstruction errors. The framework provides a more compact model than the template matching based texture classification methods, and mitigates the overfitting effect. Experimental results show that the proposed method could achieve reasonably high generalization capability even with as few as 3 training images, and significantly outperforms the state-of-the-art texture classification approaches on three benchmark datasets. © 2014 Elsevier B.V. All rights reserved.

Cross-continental comparison of national food consumption survey methods—A narrative review

Food consumption surveys are performed in many countries. Comparison of results from those surveys across nations is difficult because of differences in methodological approaches. While consensus about the preferred methodology associated with national food consumption surveys is increasing, no inventory of methodological aspects across continents is available. The aims of the present review are (1) to develop a framework of key methodological elements related to national food consumption surveys, (2) to create an inventory of these properties of surveys performed in the continents North- America, South-America, Asia and Australasia, and (3) to discuss and compare these methodological properties cross-continentally. A literature search was performed using a fixed set of search terms in different databases. The inventory was completed with all accessible information from all retrieved publications and corresponding authors were requested to provide additional information where missing. Surveys from ten individual countries, originating from four continents are listed in the inventory. The results are presented according to six major aspects of food consumption surveys. The most common dietary intake assessment method used in food consumption surveys worldwide is the 24-HDR (24 h dietary recall), occasionally administered repeatedly, mostly using interview software. Only three countries have incorporated their national food consumption surveys into continuous national health and nutrition examination surveys.

An era of governance through performance management - New Labour's National Health Service from 1999 to 2010

In 1997, the New Labour government inherited a ‘crisis’ in the UK National Health Service from the outgoing Conservative government. To address this perceived crisis, New Labour offered investment and, contrary to expectations, further neo-liberal health service reforms. In particular, the government extended the scope of performance management beyond financial numbers to encompass all aspects of managerial and organisational performance. Drawing on an analytics of government framework, this paper demonstrates how reforms were framed and given meaning through a framework of hierarchical accountability and centralised control. These panoptical arrangements relied on performance-management technologies of targets and ratings, which were linked to patient choice and a prospective funding system called ‘Payment by Results’. In turn, these top-down technologies disciplined knowledge, identity, and visibility and control of practice.

The development of knowledge about language in teacher training: what works?

Efforts have been made over many years by applied linguists in a number of English-speaking countries to raise awareness of language across the primary and secondary school curriculum, with varying degrees of success (see Denham & Lobeck, 2010). Many of these countries are sites of mass migration from non-English speaking countries, creating linguistic equity issues. In Australia, the new National Curriculum mandates that teachers of all disciplines will be required to provide pedagogy responsive to the language learning needs of English as an Additional Language (EAL) students. However, policy documents do not specify how this goal should be realized, and teachers and researchers are engaged in constant debate about what views of language could inform teacher training (e.g. structural and/or functional). This paper reports on a project which aimed to identify 1) the views of teacher educators on language in the curriculum, and 2) the language-related challenges faced by teachers in training. The current paper focuses on the language awareness of trainee teachers. Ten education students were interviewed about their understandings and experiences of language and language learning. It was found that many students experienced lack of confidence and knowledge about language (KAL), but that awareness of sociocultural elements of language provided them with ways to connect with a broader understanding of language issues. Results were analyzed from the perspective of sociocultural theory and will have implications for teacher training in any educational context where students are learning an additional language in order to integrate into a national schooling system.

The 'educational alliance' as a framework for reconceptualizing feedback in medical education

Feedback has long been considered a vital component of training in the health professions. Nonetheless, it remains difficult to enact the feedback process effectively. In part, this may be because, historically, feedback has been framed in the medical education literature as a unidirectional content-delivery process with a focus on ensuring the learner's acceptance of the content. Thus, proposed solutions have been organized around mechanistic, educator-driven, and behavior-based best practices. Recently, some authors have begun to highlight the role of context and relationship in the feedback process, but no theoretical frameworks have yet been suggested for understanding or exploring this relational construction of feedback in medical education. The psychotherapeutic concept of the "therapeutic alliance" may be valuable in this regard.In this article, the authors propose that by reorganizing constructions of feedback around an "educational alliance" framework, medical educators may be able to develop a more meaningful understanding of the context-and, in particular, the relationship-in which feedback functions. Use of this framework may also help to reorient discussions of the feedback process from effective delivery and acceptance to negotiation in the environment of a supportive educational relationship.To explore and elaborate these issues and ideas, the authors review the medical education literature to excavate historical and evolving constructions of feedback in the field, review the origins of the therapeutic alliance and its demonstrated utility for psychotherapy practice, and consider implications regarding learners' perceptions of the supervisory relationship as a significant influence on feedback acceptance in medical education settings.

Discharge communication from inpatient care: an audit of written medical discharge summary procedure against the new National Health Service Standard for clinical handover

OBJECTIVE: To audit written medical discharge summary procedure and practice against Standard Six (clinical handover) of the Australian National Safety and Quality Health Service Standards at a major regional Victorian health service. METHODS: Department heads were invited to complete a questionnaire about departmental discharge summary practices. RESULTS: Twenty-seven (82%) department heads completed the questionnaire. Seven (26%) departments had a documented discharge summary procedure. Fourteen (52%) departments monitored discharge summary completion and 13 (48%) departments monitored the timeliness of completion. Seven (26%) departments informed the patient of the content of the discharge summary and six (22%) departments provided the patient with a copy. Seven (26%) departments provided training for staff members on how to complete discharge summaries. Completing discharge summaries was usually delegated to the medical intern. CONCLUSIONS: The introduction of the National Service Standards prompted an organisation-wide audit of discharge summary practices against the external criterion. There was substantial variation in the organisation's practices. The Standards and the current audit results highlight an opportunity for the organisation to enhance and standardise discharge summary practices and improve communication with general practice.

Selecting, training and assessing new general practice community teachers in UK medical schools

Background: Standards for undergraduate medical education in the UK, published in Tomorrow’s Doctors, include the criterion ‘everyone involved in educating medical students will be appropriately selected, trained, supported and appraised’. Aims: To establish how new general practice (GP) community teachers of medical students are selected, initially trained and assessed by UK medical schools and establish the extent to which Tomorrow’s Doctors standards are being met. Method: A mixed-methods study with questionnaire data collected from 24 lead GPs at UK medical schools, 23 new GP teachers from two medical schools plus a semi-structured telephone interview with two GP leads. Quantitative data were analysed descriptively and qualitative data were analysed informed by framework analysis. Results: GP teachers’ selection is non-standardised. One hundred per cent of GP leads provide initial training courses for new GP teachers; 50% are mandatory. The content and length of courses varies. All GP leads use student feedback to assess teaching, but other required methods (peer review and patient feedback) are not universally used. Conclusions: To meet General Medical Council standards, medical schools need to include equality and diversity in initial training and use more than one method to assess new GP teachers. Wider debate about the selection, training and assessment of new GP teachers is needed to agree minimum standards.

What are the perceived learning needs of Australian general practice registrars for quality prescribing?

BACKGROUND: Little is known about the perceived learning needs of Australian general practice (GP) registrars in relation to the quality use of medicines (QUM) or the difficulties experienced when learning to prescribe. This study aimed to address this gap. METHODS: GP registrars' perceived learning needs were investigated through an online national survey, interviews and focus groups. Medical educators' perceptions were canvassed in semi-structured interviews in order to gain a broader perspective of the registrars' needs. Qualitative data analysis was informed by a systematic framework method involving a number of stages. Survey data were analysed descriptively. RESULTS: The two most commonly attended QUM educational activities took place in the workplace and through regional training providers. Outside of these structured educational activities, registrars learned to prescribe mainly through social and situated means. Difficulties encountered by GP registrars included the transition from hospital prescribing to prescribing in the GP context, judging how well they were prescribing and identifying appropriate and efficient sources of information at the point of care. CONCLUSIONS: GP registrars learn to prescribe primarily and opportunistically in the workplace. Despite many resources being expended on the provision of guidelines, decision-support systems and training, GP registrars expressed difficulties related to QUM. Ways of easing the transition into GP and of managing the information 'overload' related to medicines (and prescribing) in an evidence-guided, efficient and timely manner are needed. GP registrars should be provided with explicit feedback about the process and outcomes of prescribing decisions, including the use of audits, in order to improve their ability to judge their own prescribing.

Demographic status of Komodo dragons populations in Komodo National Park

The Komodo dragon (Varanus komodoensis) is the world's largest lizard and endemic to five islands in Eastern Indonesia. The current management of this species is limited by a paucity of demographic information needed to determine key threats to population persistence. Here we conducted a large scale trapping study to estimate demographic parameters including population growth rates, survival and abundance for four Komodo dragon island populations in Komodo National Park. A combined capture mark recapture framework was used to estimate demographic parameters from 925 marked individuals monitored between 2003 and 2012. Island specific estimates of population growth, survival and abundance, were estimated using open population capture-recapture analyses. Large island populations are characterised by near or stable population growth (i.e. λ~. 1), whilst one small island population (Gili Motang) appeared to be in decline (λ= 0.68 ± 0.09). Population differences were evident in apparent survival, with estimates being higher for populations on the two large islands compared to the two small islands. We extrapolated island specific population abundance estimates (considerate of species habitat use) to produce a total population abundance estimate of 2448 (95% CI: 2067-2922) Komodo dragons in Komodo National Park. Our results suggest that park managers must consider island specific population dynamics for managing and recovering current populations. Moreover understanding what demographic, environmental or genetic processes act independently, or in combination, to cause variation in current population dynamics is the next key step necessary to better conserve this iconic species.

Flexible transfer learning framework for bayesian optimisation

Bayesian optimisation is an efficient technique to optimise functions that are expensive to compute. In this paper, we propose a novel framework to transfer knowledge from a completed source optimisation task to a new target task in order to overcome the cold start problem. We model source data as noisy observations of the target function. The level of noise is computed from the data in a Bayesian setting. This enables flexible knowledge transfer across tasks with differing relatedness, addressing a limitation of the existing methods. We evaluate on the task of tuning hyperparameters of two machine learning algorithms. Treating a fraction of the whole training data as source and the whole as the target task, we show that our method finds the best hyperparameters in the least amount of time compared to both the state-of-art and no transfer method.