Intelligibility and accentedness in conversations amongst international students in Australia

Despite the prevalence of English conversations being held by Non Native Speakers (NNS), little research has investigated accent, the most salient aspect of pronunciation, in English as a Lingua Franca (ELF) interactions. The aim of this study is to investigate two facets of accentedness: the intelligibility of accented speech for Non-Native Listeners (NNL) and the impact that language attitude has on the judgment of accentedness. While accentedness has been shown to be both independent of intelligibility and extremely salient to Native Listeners (NL) (Derwing 2008; Nelson, 2008), there is a significant gap in our understanding of how accented English speech is judged by NNL (Derwing & Munro 1997; 2009; Munro & Derwing 1995; 1999; 2010; Munro 2007). It is hypothesised that there is a dependency between the intelligibility scores of foreign accented speech and accentedness judgment in ELF contexts. Moreover, it is believed that the judgment of accentedness is influenced by attitudes held by the NNL. The intelligibility of accented speech will be investigated by measuring the accuracy of transcribed audio samples. Judgment of accentedness will be measured using a Likert scale and journal entries. Attitudes towards accentedness will, firstly, be quantified using a survey that rates language attitudes on a Likert scale, followed by a semi-structured interview that will elicit attitudes towards accentedness. The results of this study will have implications for the teaching and learning of pronunciation, listening skills, and curriculum design. Furthermore, the findings may allude to fundamental differences in how NNL and Native Listeners (NL) perceive second language (L2) speech; thus, such inferences may lead to a shift in Second Language Acquisition (SLA) perspectives.

Understanding and development of supply chain agility and flexibility: a structured literature review

This paper provides a review of the literature while contributing to academic understanding of the concepts of agility and flexibility within the supply chain. The research identified 83 peer-reviewed articles through a structured review technique, which is based on a three-stage refinement process. Data reduction procedures using codification, sentence strings and a review of keywords, title, abstract and conclusion were used in the search. The papers identified focused on organizational and supply chain agility and flexibility. The acknowledged gaps in understanding and development of agility and flexibility in supply chains were identified and categorized in terms of conceptual, contextual and methodological gaps. Subsequent to the gap analysis, this paper argues that effective relationship integration with key partners is a fundamental mechanism for mitigating the problem of control dissipation, which has hindered academic understanding with respect to development and application of agile and flexible capabilities in supply chains. The findings in this paper will help academics to gain a better understanding and to develop the concepts of supply chain agility and flexibility. In addition, the findings indicate that supply chain stakeholders need to address the issue of relationship integration when undertaking, or participating in agility and flexibility development programmes, so as to maximize supply chain performance. The paper concludes by highlighting implications for managers and researchers, and proposes a number of areas for future investigation.

A structured framework improves clinical patient assessment and nontechnical skills of early career emergency nurses: a pre-post study using full immersion simulation

AIMS AND OBJECTIVES: The aim of this study was to evaluate the effect of the new evidence-informed nursing assessment framework HIRAID (History, Identify Red flags, Assessment, Interventions, Diagnostics, reassessment and communication) on the quality of patient assessment and fundamental nontechnical skills including communication, decision making, task management and situational awareness. BACKGROUND: Assessment is a core component of nursing practice and underpins clinical decisions and the safe delivery of patient care. Yet there is no universal or validated system used to teach emergency nurses how to comprehensively assess and care for patients. DESIGN: A pre-post design was used. METHODS: The performance of thirty eight emergency nurses from five Australian hospitals was evaluated before and after undertaking education in the application of the HIRAID assessment framework. Video recordings of participant performance in immersive simulations of common presentations to the emergency department were evaluated, as well as participant documentation during the simulations. Paired parametric and nonparametric tests were used to compare changes from pre to postintervention. RESULTS: From pre to postintervention, participant performance increases were observed in the percentage of patient history elements collected, critical indicators of urgency collected and reported to medical officers, and patient reassessments performed. Participants also demonstrated improvement in each of the four nontechnical skills categories: communication, decision making, task management and situational awareness. CONCLUSION: The HIRAID assessment framework improves clinical patient assessments performed by emergency nurses and has the potential to enhance patient care. RELEVANCE TO CLINICAL PRACTICE: HIRAID should be considered for integration into clinical practice to provide nurses with a systematic approach to patient assessment and potentially improve the delivery of safe patient care.

Trajectories of intensity. Looking at structured improvisation in 'the weight of the thing left its mark'

This article examines the intentions and implications of ‘structured improvisation’ in relation to my work 'The weight of the thing left its mark' performed in Melbourne in April 2009. The performance piece is premised on the dancers maintaining a performance improvisation practice but to frame these and add predetermined context as a choreographic overlay. In so doing the aim was to create spaces within the work where improvisation could authentically exist while striving for a definable and repeatable ‘work’. The presentation will examine some of the complexities and difficulties inherent in this aim and grapples with the different expectations and conflicts that exist between performance improvisation and choreography.

Reaching for the heavenly bead of teaching through structured problem solving

Japanese Lesson Study has provoked intense interest since it became known in the mid-1990s due to descriptions of the "typical" Japanese abacus - the soroban - with its Earth and Heaven beads as its metaphor, this paper examines the Earth beads necessary to reach the goal of a Heavenly bead - that is, an effective structured problem-solving mathematics lesson.

Layer-by-layer structured membranes of silk fibroin and polyethylenimine on electrospun silk fibroin nanofibers

Self-assembled silk fibroin (SF)-polyethylenimine (PEI) multilayered films were fabricated on ethanol treated electrospun SF nanofibrous substrates via the electrostatic layer-by-layer (LBL) adsorption. The film coated membranes were characterized using scanning electron microscopy (SEM), transmission electron microscope (TEM) and X-ray photoelectron spectrophotometer (XPS). The SEM images showed that the multilayers of SF-PEI were formed on the surface of the ethanol treated SF nanofibres. The characteristics such as the fiber shape and porous structure were well maintained as the number of the coated SF-PEI bilayers was less than five. However, obvious adhesive substances and blocked pores were observed on the surface of the fibers as the number of bilayers of SF-PEI increased to six. Furthermore, the obvious core-shell structures were observed by TEM. The thickness of five SF-PEI bilayers was approximately 80nm. Additionally, the XPS results also revealed that the SF-PEI multilayer composite membranes formed. The adsorption mainly depended on a simple electrostatic interaction between the layers of SF and PEI. These SF-PEI multilayer assembled nanofibrous membranes could be a promising material for use as a sensor, gene delivery agent and scaffolds.

Fabrication of core-shell structured natural rubber based microfibres for artificial blood vessel tissue engineering scaffolds

A successful trial on preparing natural rubber based core-shell structured fibres by co-axial electrospinning and fabrication of artificial blood vessel scaffolds from crosslinked fibres.

An embedding scheme for detecting anomalous block structured graphs

Graph-based anomaly detection plays a vital role in various application domains such as network intrusion detection, social network analysis and road traffic monitoring. Although these evolving networks impose a curse of dimensionality on the learning models, they usually contain structural properties that anomaly detection schemes can exploit. The major challenge is finding a feature extraction technique that preserves graph structure while balancing the accuracy of the model against its scalability. We propose the use of a scalable technique known as random projection as a method for structure aware embedding, which extracts relational properties of the network, and present an analytical proof of this claim. We also analyze the effect of embedding on the accuracy of one-class support vector machines for anomaly detection on real and synthetic datasets. We demonstrate that the embedding can be effective in terms of scalability without detrimental influence on the accuracy of the learned model.

A data dependency based strategy for intermediate data storage in scientific cloud workflow systems

Many scientific workflows are data intensive where large volumes of intermediate data are generated during their execution. Some valuable intermediate data need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science in the cloud has become popular nowadays, more intermediate data can be stored in scientific cloud workflows based on a pay-for-use model. In this paper, we build an intermediate data dependency graph (IDG) from the data provenance in scientific workflows. With the IDG, deleted intermediate data can be regenerated, and as such we develop a novel intermediate data storage strategy that can reduce the cost of scientific cloud workflow systems by automatically storing appropriate intermediate data sets with one cloud service provider. The strategy has significant research merits, i.e. it achieves a cost-effective trade-off of computation cost and storage cost and is not strongly impacted by the forecasting inaccuracy of data sets' usages. Meanwhile, the strategy also takes the users' tolerance of data accessing delay into consideration. We utilize Amazon's cost model and apply the strategy to general random as well as specific astrophysics pulsar searching scientific workflows for evaluation. The results show that our strategy can reduce the overall cost of scientific cloud workflow execution significantly.