Contextual models and the non-Newtonian paradigm

Biological systems exhibit a wide range of contextual effects, and this often makes it difficult to construct valid mathematical models of their behaviour. In particular, mathematical paradigms built upon the successes of Newtonian physics make assumptions about the nature of biological systems that are unlikely to hold true. After discussing two of the key assumptions underlying the Newtonian paradigm, we discuss two key aspects of the formalism that extended it, Quantum Theory (QT). We draw attention to the similarities between biological and quantum systems, motivating the development of a similar formalism that can be applied to the modelling of biological processes.

Designing Innovative Business Models : A Design Catalyst Learning Resource

The term Design Led Innovation is emerging as a fundamental business process, which is rapidly being adopted by large as well as small to medium sized firms. The value that design brings to an organisation is a different way of thinking, of framing situations and possibilities, doing things and tackling problems: essentially a cultural transformation of the way the firm undertakes its business. Being Design Led is increasingly being seen by business as a driver of company growth, allowing firms to provide a strong point of difference to its stakeholders. Achieving this Design Led process, requires strong leadership to enable the organisation to develop a clear vision for top line growth. Specifically, based on deep customer insights and expanded through customer and stakeholder engagements, the outcomes of which are then adopted by all aspects of the business. To achieve this goal, several tools and processes are available, which need to be linked to new organisational capabilities within a business transformation context. The Design Led Innovation Team focuses on embedding tools and processes within an organisation and matching this with design leadership qualities to enable companies to create breakthrough innovation and achieve sustained growth, through ultimately transforming their business model. As all information for these case studies was derived from publicly accessed data, this resource is not intended to be used as reference material, but rather is a learning tool for designers to begin to consider and explore businesses at a strategic level. It is not the results that are key, but rather the process and philosophies that were used to create these case studies and disseminate this way of thinking amongst the design community. It is this process of unpacking a business guided by the framework of Osterwalder’s Business Model Canvas* which provides an important tool for designers to gain a greater perspective of a company’s true innovation potential.

English language teacher education in Cuba : context, pedagogy and identity

In this study, I investigate the model of English language teacher education developed in Cuba. It includes features that would be considered innovative, contemporary, good practice anywhere in the Western world, as well as having distinctly Cuban elements. English is widely taught in Cuba in the education system and on television by Cuban teachers who are prepared in five-year courses at pedagogical universities by bilingual Cuban teacher educators. This case study explores the identity and pedagogy of six English language teacher educators at Cuba’s largest university of pedagogical sciences. Postcolonial theory provides a framework for examining how the Cuban pedagogy of English language teacher education resists the negative representation of Cuba in hegemonic Western discourse; and challenges neoliberal Western dogma. Postcolonial concepts of representation, resistance and hybridity are used in this examination. Cuban teacher education features a distinctive ‘pedagogy of tenderness’. Teacher educators build on caring relationships and institutionalised values of solidarity, collectivism and collaboration. Communicative English language teaching strategies are contextualised to enhance the pedagogical and communicative competence of student teachers, and intercultural intelligibility is emphasised. The collaborative pedagogy of Cuban English language teacher education features peer observation, mentoring and continuing professional development; as well as extensive pre-service classroom teaching and research skill development for student teachers. Being Cuban and bilingual are significant aspects of the professional identity of case members, who regard their profession as a vocation and who are committed to preparing good English language teachers.

Exact and approximate Bayesian inference for low count time series models with intractable likelihoods

In this paper we present a new simulation methodology in order to obtain exact or approximate Bayesian inference for models for low-valued count time series data that have computationally demanding likelihood functions. The algorithm fits within the framework of particle Markov chain Monte Carlo (PMCMC) methods. The particle filter requires only model simulations and, in this regard, our approach has connections with approximate Bayesian computation (ABC). However, an advantage of using the PMCMC approach in this setting is that simulated data can be matched with data observed one-at-a-time, rather than attempting to match on the full dataset simultaneously or on a low-dimensional non-sufficient summary statistic, which is common practice in ABC. For low-valued count time series data we find that it is often computationally feasible to match simulated data with observed data exactly. Our particle filter maintains $N$ particles by repeating the simulation until $N+1$ exact matches are obtained. Our algorithm creates an unbiased estimate of the likelihood, resulting in exact posterior inferences when included in an MCMC algorithm. In cases where exact matching is computationally prohibitive, a tolerance is introduced as per ABC. A novel aspect of our approach is that we introduce auxiliary variables into our particle filter so that partially observed and/or non-Markovian models can be accommodated. We demonstrate that Bayesian model choice problems can be easily handled in this framework.

Workshop "Language and Internet" [Moderator]

The importance of language for Internet and Society: developing a language-intelligent approach

Labour, social and health outcomes of immigrants in Australia : effects of language proficiency using the IV approach

Language has been of interest to numerous economists since the late 20th century, with the majority of the studies focusing on its effects on immigrants’ labour market outcomes; earnings in particular. However, language is an endogenous variable, which along with its susceptibility to measurement error causes biases in ordinary-least-squares estimates. The instrumental variables method overcomes the shortcomings of ordinary least squares in modelling endogenous explanatory variables. In this dissertation, age at arrival combined with country of origin form an instrument creating a difference-in-difference scenario, to address the issue of endogeneity and attenuation error in language proficiency. The first half of the study aims to investigate the extent to which English speaking ability of immigrants improves their labour market outcomes and social assimilation in Australia, with the use of the 2006 Census. The findings have provided evidence that support the earlier studies. As expected, immigrants in Australia with better language proficiency are able to earn higher income, attain higher level of education, have higher probability of completing tertiary studies, and have more hours of work per week. Language proficiency also improves social integration, leading to higher probability of marriage to a native and higher probability of obtaining citizenship. The second half of the study further investigates whether language proficiency has similar effects on a migrant’s physical and mental wellbeing, health care access and lifestyle choices, with the use of three National Health Surveys. However, only limited evidence has been found with respect to the hypothesised causal relationship between language and health for Australian immigrants.

A two-stage approach for generating topic models

Topic modeling has been widely utilized in the fields of information retrieval, text mining, text classification etc. Most existing statistical topic modeling methods such as LDA and pLSA generate a term based representation to represent a topic by selecting single words from multinomial word distribution over this topic. There are two main shortcomings: firstly, popular or common words occur very often across different topics that bring ambiguity to understand topics; secondly, single words lack coherent semantic meaning to accurately represent topics. In order to overcome these problems, in this paper, we propose a two-stage model that combines text mining and pattern mining with statistical modeling to generate more discriminative and semantic rich topic representations. Experiments show that the optimized topic representations generated by the proposed methods outperform the typical statistical topic modeling method LDA in terms of accuracy and certainty.

Comment on "Local accumulation times for source, diffusion, and degradation models in two and three dimensions" [J. Chem. Phys. 138, 104121 (2013)]

In a recent paper, Gordon, Muratov, and Shvartsman studied a partial differential equation (PDE) model describing radially symmetric diffusion and degradation in two and three dimensions. They paid particular attention to the local accumulation time (LAT), also known in the literature as the mean action time, which is a spatially dependent timescale that can be used to provide an estimate of the time required for the transient solution to effectively reach steady state. They presented exact results for three-dimensional applications and gave approximate results for the two-dimensional analogue. Here we make two generalizations of Gordon, Muratov, and Shvartsman’s work: (i) we present an exact expression for the LAT in any dimension and (ii) we present an exact expression for the variance of the distribution. The variance provides useful information regarding the spread about the mean that is not captured by the LAT. We conclude by describing further extensions of the model that were not considered by Gordon,Muratov, and Shvartsman. We have found that exact expressions for the LAT can also be derived for these important extensions...

Grunt language versus accent : the perceived communication barriers between international medical graduates and patients in Central Wheatbelt catchments

Due to the chronic shortages of GPs in Australian rural and remote regions, considerable numbers of international medical graduates (IMG) have been recruited. IMG experience many difficulties when relocating to Australia with one of the most significant being effective GP-patient communication. Given that this is essential for effective consultation it can have a substantial impact on health care. A purposive sample of seven practising GPs (five IMG, two Australian-trained doctors (ATD)) was interviewed using a semistructured face-to-face interviewing technique. GPs from Nigeria, Egypt, United Kingdom, India, Singapore and Australia participated. Interviews were transcribed and then coded. The authors used qualitative thematic analysis of interview transcripts to identify common themes. IMG-patient communication barriers were considered significant in the Wheatbelt region as identified by both IMG and ATD. ATD indicated they were aware of IMG-patient communication issues resulting in subsequent consults with patients to explain results and diagnoses. Significantly, a lack of communication between ATD and IMG also emerged, creating a further barrier to effective communication. Analysis of the data generated several important findings that rural GP networks should consider when integrating new IMG into the community. Addressing the challenges related to cross-cultural differences should be a priority, in order to enable effective communication. More open communication between ATD and IMG about GP-patient communication barriers and education programs around GP-patient communication would help both GP and patient satisfaction.

Humanised xenograft models of bone metastasis revisited : novel insights into species-specific mechanisms of cancer cell osteotropism

The determinants and key mechanisms of cancer cell osteotropism have not been identified, mainly due to the lack of reproducible animal models representing the biological, genetic and clinical features seen in humans. An ideal model should be capable of recapitulating as many steps of the metastatic cascade as possible, thus facilitating the development of prognostic markers and novel therapeutic strategies. Most animal models of bone metastasis still have to be derived experimentally as most syngeneic and transgeneic approaches do not provide a robust skeletal phenotype and do not recapitulate the biological processes seen in humans. The xenotransplantation of human cancer cells or tumour tissue into immunocompromised murine hosts provides the possibility to simulate early and late stages of the human disease. Human bone or tissue-engineered human bone constructs can be implanted into the animal to recapitulate more subtle, species-specific aspects of the mutual interaction between human cancer cells and the human bone microenvironment. Moreover, the replication of the entire "organ" bone makes it possible to analyse the interaction between cancer cells and the haematopoietic niche and to confer at least a partial human immunity to the murine host. This process of humanisation is facilitated by novel immunocompromised mouse strains that allow a high engraftment rate of human cells or tissue. These humanised xenograft models provide an important research tool to study human biological processes of bone metastasis.

Privacy of RFID - models and protocols

Radio Frequency Identification is a wireless identification method that utilizes the reception of electromagnetic radio waves. This research has proposed a novel model to allow for an in-depth security analysis of current protocols and developed new flexible protocols that can be adapted to offer either stronger security or better efficiency.

Supporting children's language and literacy skills : the effectiveness of shared book reading intervention strategies with parents

Parents are encouraged to read with their children from an early age because shared book reading helps children to develop their language and early literacy skills. A pragmatic Randomised Controlled Trial (RCT) research design was adopted to investigate the influence of two forms of a shared reading intervention (Dialogic Reading and Dialogic Reading with the addition of Print Referencing) on children’s language and literacy skills. Dialogic reading is a validated shared reading intervention that has been shown to improve children’s oral language skills prior to formal schooling (Whitehurst & Lonigan, 1998). Print referencing is another form of shared reading intervention that has the potential to have effects on children’s print knowledge as they begin school (Justice & Ezell, 2002). However, training parents to use print referencing strategies at home has not been researched extensively although research findings indicate its effectiveness when used by teachers in the early years of school. Eighty parents of Preparatory year children from three Catholic schools in low income areas in the outer suburbs of a metropolitan city were trained to deliver specific shared reading strategies in an eight-week home intervention. Parents read eight books to their children across the period of the intervention. Each book was requested to be read at least three times a week. There were 42 boys and 38 girls ranging in age from 4.92 years to 6.25 years (M=5.53, SD=0.33) in the sample. The families were randomly assigned to three groups: Dialogic Reading (DR); Dialogic Reading with the addition of Print Referencing (DR + PR); and a Control group. Six measures were used to assess children’s language skills at pre and post, and follow-up (three months after the intervention). These measures assessed oral language (receptive and expressive vocabulary), phonological awareness skills (rhyme, word completion), alphabet knowledge, and concepts about print. Results of the intervention showed that there were significant differences from pre to post between the two intervention groups and the control group on three measures: expressive vocabulary, rhyme, and concepts about print. The shared reading strategies delivered by parents of the dialogic reading, and dialogic reading with the addition of print referencing, showed promising results to develop children’s oral language skills in terms of expressive vocabulary and rhyme, as well as understanding of the concepts about print. At follow-up, when the children entered Year 1, the two intervention groups (DR and DR + PR) group had significantly maintained their knowledge of concepts about prints when compared with the control group. Overall, the findings from this intervention study did not show that dialogic reading with the addition of print referencing had stronger effects on children’s early literacy skills than dialogic reading alone. The research also explored if pre-existing family factors impacted on the outcomes of the intervention from pre to post. The relationships between maternal education and home reading practices prior to intervention and child outcomes at post were considered. However, there were no significant effects of maternal education and home literacy activities on child outcomes at post. Additionally, there were no significant effects for the level of compliance of parents with the intervention program in terms of regular weekly reading to children during the intervention period on child outcomes at post. These non-significant findings are attributed to the lack of variability in the recruited sample. Parents participating in the intervention had high levels of education, although they were recruited from schools in low socio-economic areas; parents were already highly engaged in home literacy activities at recruitment; and the parents were highly compliant in reading regularly to their child during the intervention. Findings of the current study did show that training in shared reading strategies enhanced children’s early language and literacy skills. Both dialogic reading and dialogic reading with the addition of print referencing improved children’s expressive vocabulary, rhyme, and concepts about print at post intervention. Further research is needed to identify how, and if, print referencing strategies used by parents at home can be effective over and above the use of dialogic reading strategies. In this research, limitations of sample size and the nature of the intervention to use print referencing strategies at home may have restricted the opportunities for this research study to find more effects on children’s emergent literacy skills or for the effectiveness of combining dialogic reading with print referencing strategies. However, these results did indicate that there was value in teaching parents to implement shared reading strategies at home in order to improve early literacy skills as children begin formal schooling.

We still don’t know how much BPMN is enough – but we are getting closer

Process models expressed in BPMN typically rely on a small subset of all available symbols. In our 2008 study, we examined the composition of these subsets, and found that the distribution of BPMN symbols in practice closely resembles the frequency distribution of words in natural language. We offered some suggestions based on our findings, how to make the use of BPMN more manageable and also outlined ideas for further development of BPMN. Since this paper was published it has provoked spirited debate in the BPM practitioner community, prompted the definition of a modeling standard in US government, and helped shape the next generation of the BPMN standard.