Field validation of controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance

This article presents the field applications and validations for the controlled Monte Carlo data generation scheme. This scheme was previously derived to assist the Mahalanobis squared distance–based damage identification method to cope with data-shortage problems which often cause inadequate data multinormality and unreliable identification outcome. To do so, real-vibration datasets from two actual civil engineering structures with such data (and identification) problems are selected as the test objects which are then shown to be in need of enhancement to consolidate their conditions. By utilizing the robust probability measures of the data condition indices in controlled Monte Carlo data generation and statistical sensitivity analysis of the Mahalanobis squared distance computational system, well-conditioned synthetic data generated by an optimal controlled Monte Carlo data generation configurations can be unbiasedly evaluated against those generated by other set-ups and against the original data. The analysis results reconfirm that controlled Monte Carlo data generation is able to overcome the shortage of observations, improve the data multinormality and enhance the reliability of the Mahalanobis squared distance–based damage identification method particularly with respect to false-positive errors. The results also highlight the dynamic structure of controlled Monte Carlo data generation that makes this scheme well adaptive to any type of input data with any (original) distributional condition.

Angular distribution of carbon ion flux in a nanotube array during the plasma process by the Monte Carlo technique

Angular distribution of microscopic ion fluxes around nanotubes arranged into a dense ordered pattern on the surface of the substrate is studied by means of multiscale numerical simulation. The Monte Carlo technique was used to show that the ion current density is distributed nonuniformly around the carbon nanotubes arranged into a dense rectangular array. The nonuniformity factor of the ion current flux reaches 7 in dense (5× 1018 m-3) plasmas for a nanotube radius of 25 nm, and tends to 1 at plasma densities below 1× 1017 m-3. The results obtained suggest that the local density of carbon adatoms on the nanotube side surface, at areas facing the adjacent nanotubes of the pattern, can be high enough to lead to the additional wall formation and thus cause the single- to multiwall structural transition, and other as yet unexplained nanoscience phenomena.

Assessment on the effect of pollution abatement on environmental efficiency with Markov chain Monte Carlo simulation

Both environmental economists and policy makers have shown a great deal of interest in the effect of pollution abatement on environmental efficiency. In line with the modern resources available, however, no contribution is brought to the environmental economics field with the Markov chain Monte Carlo (MCMC) application, which enables simulation from a distribution of a Markov chain and simulating from the chain until it approaches equilibrium. The probability density functions gained prominence with the advantages over classical statistical methods in its simultaneous inference and incorporation of any prior information on all model parameters. This paper concentrated on this point with the application of MCMC to the database of China, the largest developing country with rapid economic growth and serious environmental pollution in recent years. The variables cover the economic output and pollution abatement cost from the year 1992 to 2003. We test the causal direction between pollution abatement cost and environmental efficiency with MCMC simulation. We found that the pollution abatement cost causes an increase in environmental efficiency through the algorithm application, which makes it conceivable that the environmental policy makers should make more substantial measures to reduce pollution in the near future.

Visions and values : the Children’s Book Council of Australia’s prizing of picture books in the twenty-first century

The Children’s Book Council of Australia (CBCA) administers the oldest national prize for children’s literature in Australia. Each year, the CBCA confers “Book of the Year” awards to literature for young people in five categories. In 2001, the establishment of an “Early Childhood” category opened up the venerable “Picture Book” category (first awarded in 1955) to books with an implied readership up to 18 years of age. As a result, this category has emerged in recent years as a highly visible space within which the CBCA can contest discourses of cultural marginalisation insofar as Australian (“colonial”) literature is constructed as inferior or adjunct to the major Anglophone literary traditions, and the consistent identification of children’s literature (and, indeed, of children) as lesser than its ‘adult’ counterparts. The CBCA is engaged in defining, evaluating, and legitimising a tradition of Australian children’s literature which is underpinned by a canonical impulse, and is a reflexive practice of self-definition, self-evaluation and self-legitimisation for the CBCA itself. While it is obviously problematic to identify award winners as a canon, it is equally obvious that literary prizing is a cultural practice derived from the logic of canonicity. In his discussion of the United States’s Newbery Medal, Kenneth Kidd notes that “Medal books are instant classics, the selection process an ostensible simulation of the test of time” (169) and that “the Medal is part of the canonical architecture of children's literature” (169). Thus, it is instructive to consider the visions and values of the national, of the social, and of the literary-aesthetic, in the picture books chosen by the Children’s Book Council of Australia (CBCA) as the “best” of the early twenty-first century. These books not only constitute a kind of canon for contemporary Australian children’s literature, but may well come to define what contemporary Australian children’s literature means in the wider literary field. The Book of the Year: Picture Book awards given by the CBCA since 2001 demonstrate that it is not only true of the Booker Prize that, “The choices of winning books reflect not only on the books themselves, then, but also back on the Prize, affecting its reputation and creating journalistic capital which is vital for the Prize to achieve its prominence and impact.” (81). Many of the twenty-first century CBCA award-winning picture books complicate traditional or comfortable understanding of Australianness, children’s literature, or “appropriate” modes of form and content, reminding us that “moments when texts resist or complicate recuperation into national discourses offer fruitful points for exploring the relationships between text and celebratory context” (Roberts 6). The CBCA has taken the opportunities offered by the liberation of the Picture Book category from an implied readership to challenge dominant constructions of children’s literature in Australia, and in so doing, are engaged in overt practices of canonicity with potentially long-lasting effects. Works Cited: Kidd, Kenneth. “Prizing Children’s Literature: The Case of Newbery Gold.” Children's Literature 35 (2007): 166-190. Roberts, Gillian. Prizing Literature: The Celebration and Circulation of National Culture. Toronto: U Toronto P, 2011. Squires, Claire. “Book Marketing and the Booker Prize.” Judging a Book by Its Cover: Fans, Publishers, Designers, and the Marketing of Fiction. Eds. Nicole Matthews and Nickianne Moody. Aldershot: Ashgate, 2007. 71-82.

A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design

A computationally efficient sequential Monte Carlo algorithm is proposed for the sequential design of experiments for the collection of block data described by mixed effects models. The difficulty in applying a sequential Monte Carlo algorithm in such settings is the need to evaluate the observed data likelihood, which is typically intractable for all but linear Gaussian models. To overcome this difficulty, we propose to unbiasedly estimate the likelihood, and perform inference and make decisions based on an exact-approximate algorithm. Two estimates are proposed: using Quasi Monte Carlo methods and using the Laplace approximation with importance sampling. Both of these approaches can be computationally expensive, so we propose exploiting parallel computational architectures to ensure designs can be derived in a timely manner. We also extend our approach to allow for model uncertainty. This research is motivated by important pharmacological studies related to the treatment of critically ill patients.

Television content for the 21st century classroom

This thesis examines the confluence of digital technology, evolving classroom pedagogy and young people's screen use, demonstrating how screen content can be deployed, curated, and developed for effective use in contemporary classrooms. Based on four detailed case studies drawn from the candidate's professional creative practice, the research presents a set of design considerations for educational media that distill the relevance of the research for screen producers seeking to develop a more productive understanding of and engagement with the school education sector.

Book review: Politics and the media in twenty-first century Indonesia: Decade of democracy

This is the third (but first edited) volume in Sen and Hill’s corpus on Indonesian media. An anthology built from contributions to a 2006 workshop, it is necessarily more fragmented than the editors’ earlier monographs. While this fragmented character helps to evoke a fractured context, it also makes for unwieldiness...

Transdimensional sequential Monte Carlo using variational Bayes — SMCVB

A new transdimensional Sequential Monte Carlo (SMC) algorithm called SM- CVB is proposed. In an SMC approach, a weighted sample of particles is generated from a sequence of probability distributions which ‘converge’ to the target distribution of interest, in this case a Bayesian posterior distri- bution. The approach is based on the use of variational Bayes to propose new particles at each iteration of the SMCVB algorithm in order to target the posterior more efficiently. The variational-Bayes-generated proposals are not limited to a fixed dimension. This means that the weighted particle sets that arise can have varying dimensions thereby allowing us the option to also estimate an appropriate dimension for the model. This novel algorithm is outlined within the context of finite mixture model estimation. This pro- vides a less computationally demanding alternative to using reversible jump Markov chain Monte Carlo kernels within an SMC approach. We illustrate these ideas in a simulated data analysis and in applications.

A Monte-Carlo tree search in argumentation

Monte-Carlo Tree Search (MCTS) is a heuristic to search in large trees. We apply it to argumentative puzzles where MCTS pursues the best argumentation with respect to a set of arguments to be argued. To make our ideas as widely applicable as possible, we integrate MCTS to an abstract setting for argumentation where the content of arguments is left unspecified. Experimental results show the pertinence of this integration for learning argumentations by comparing it with a basic reinforcement learning.

Engaging a multiple-track approach to building capacity for 21st Century engineering, opportunities and challenges for rapid curriculum renewal

‘Complexity’ is a term that is increasingly prevalent in conversations about building capacity for 21st Century professional engineers. Society is grappling with the urgent and challenging reality of accommodating seven billion people, meeting needs and innovating lifestyle improvements in ways that do not destroy atmospheric, biological and oceanic systems critical to life. Over the last two decades in particular, engineering educators have been active in attempting to build capacity amongst professionals to deliver ‘sustainable development’ in this rapidly changing global context. However curriculum literature clearly points to a lack of significant progress, with efforts best described as ad hoc and highly varied. Given the limited timeframes for action to curb environmental degradation proposed by scientists and intergovernmental agencies, the authors of this paper propose it is imperative that curriculum renewal towards education for sustainable development proceeds rapidly, systemically, and in a transformational manner. Within this context, the paper discusses the need to consider a multiple track approach to building capacity for 21st Century engineering, including priorities and timeframes for undergraduate and postgraduate curriculum renewal. The paper begins with a contextual discussion of the term complexity and how it relates to life in the 21st Century. The authors then present a whole of system approach for planning and implementing rapid curriculum renewal that addresses the critical roles of several generations of engineering professionals over the next three decades. The paper concludes with observations regarding engaging with this approach in the context of emerging accreditation requirements and existing curriculum renewal frameworks.

Audience as performer: The changing role of theatre audiences in the twenty-first century

'Actors always talk about what the audience does. I don’t understand, we are just sitting here.' Audience as Performer proposes that in the theatre, there are two troupes of performers: the actors and the audience. Although academics have scrutinised how audiences respond, make meaning and co-create while watching a performance, little research has considered the behaviour of the theatre audience as a performance in and of itself. This insightful book describes how an audience performs through its myriad gestural, vocal and paralingual actions, and considers the following questions: •If the audience are performers, who are their audiences? •How have audiences’ roles changed throughout history? •How do talkbacks and technology influence the audience’s role as critics? •What influence does the audience have on the creation of community in theatre? •How can the audience function as both consumer and co-creator? Drawing from over 140 interviews with audience members, actors and ushers in the UK, USA and Australia, Heim reveals the lived experience of audience members at the theatrical event. It is a fresh reading of mainstream audiences’ activities, bringing their voices to the fore and exploring their emerging new roles in the theatre of the Twenty-First Century.