Multi-scale hybrid numerical simulation of the growth of high-aspect-ratio nanostructures

Recently, a variety high-aspect-ratio nanostructures have been grown and profiled for various applications ranging from field emission transistors to gene/drug delivery devices. However, fabricating and processing arrays of these structures and determining how changing certain physical parameters affects the final outcome is quite challenging. We have developed several modules that can be used to simulate the processes of various physical vapour deposition systems from precursor interaction in the gas phase to gas-surface interactions and surface processes. In this paper, multi-scale hybrid numerical simulations are used to study how low-temperature non-equilibrium plasmas can be employed in the processing of high-aspect-ratio structures such that the resulting nanostructures have properties suitable for their eventual device application. We show that whilst using plasma techniques is beneficial in many nanofabrication processes, it is especially useful in making dense arrays of high-aspect-ratio nanostructures.

Aspect-based opinion extraction from customer reviews

Text is the main method of communicating information in the digital age. Messages, blogs, news articles, reviews, and opinionated information abounds on the Internet. People commonly purchase products online and post their opinions about purchased items. This feedback is displayed publicly to assist others with their purchasing decisions, creating the need for a mechanism with which to extract and summarize useful information for enhancing the decision-making process. Our contribution is to improve the accuracy of extraction by combining different techniques from three major areas, named Data Mining, Natural Language Processing techniques and Ontologies. The proposed framework sequentially mines product’s aspects and users’ opinions, groups representative aspects by similarity, and generates an output summary. This paper focuses on the task of extracting product aspects and users’ opinions by extracting all possible aspects and opinions from reviews using natural language, ontology, and frequent “tag” sets. The proposed framework, when compared with an existing baseline model, yielded promising results.

A novel manoeuvering model based on low-aspect-ratio lift theory and Lagrangian mechanics

This paper proposes a physically motivated reappraisal of manoeuvring models for ships and presents a new model developed from first principles by application of low aspect-ratio aerodynamic theory and Lagrangian mechanics. The coefficients of the model are shown to be related to physical processes, and validation is presented using the results from a planar motion mechanism dataset.

Aspect-based opinion mining from product reviews using conditional random fields

Product reviews are the foremost source of information for customers and manufacturers to help them make appropriate purchasing and production decisions. Natural language data is typically very sparse; the most common words are those that do not carry a lot of semantic content, and occurrences of any particular content-bearing word are rare, while co-occurrences of these words are rarer. Mining product aspects, along with corresponding opinions, is essential for Aspect-Based Opinion Mining (ABOM) as a result of the e-commerce revolution. Therefore, the need for automatic mining of reviews has reached a peak. In this work, we deal with ABOM as sequence labelling problem and propose a supervised extraction method to identify product aspects and corresponding opinions. We use Conditional Random Fields (CRFs) to solve the extraction problem and propose a feature function to enhance accuracy. The proposed method is evaluated using two different datasets. We also evaluate the effectiveness of feature function and the optimisation through multiple experiments.

Osteoimmunomodulation: A new aspect for the development and evaluation of bone biomaterials

This thesis successfully introduced the intellectual framework of immunology in the development of bone biomaterials. The project identified the regulatory role of biomaterials to the immune-response in terms of bone formation and healing of bone defects. The novel methods developed in the project will significantly change the ways of biomaterials assessment and evaluation.

Conditions of Compromise and Failure (The Dickensian Aspect)

‘Conditions of Compromise and Failure (The Dickensian Aspect)' acts as a re-enactment of the common trope of television detective dramas. A result of the artist’s repeated immersions in the television program ‘The Wire’, the work forms a node-map of all the named characters featured on the show. While each coloured thread represents and connects together the Byzantine narrative between all of the characters, the sheer mass of connections obfuscates any clear reading at all.

The Coming of Post-reflexive Society: Commodification and Language in Digital Capitalism

Language is a unique aspect of human communication because it can be used to discuss itself in its own terms. For this reason, human societies potentially have superior capacities of co-ordination, reflexive self-correction, and innovation than other animal, physical or cybernetic systems. However, this analysis also reveals that language is interconnected with the economically and technologically mediated social sphere and hence is vulnerable to abstraction, objectification, reification, and therefore ideology – all of which are antithetical to its reflexive function, whilst paradoxically being a fundamental part of it. In particular, in capitalism, language is increasingly commodified within the social domains created and affected by ubiquitous communication technologies. The advent of the so-called ‘knowledge economy’ implicates exchangeable forms of thought (language) as the fundamental commodities of this emerging system. The historical point at which a ‘knowledge economy’ emerges, then, is the critical point at which thought itself becomes a commodified ‘thing’, and language becomes its “objective” means of exchange. However, the processes by which such commodification and objectification occurs obscures the unique social relations within which these language commodities are produced. The latest economic phase of capitalism – the knowledge economy – and the obfuscating trajectory which accompanies it, we argue, is destroying the reflexive capacity of language particularly through the process of commodification. This can be seen in that the language practices that have emerged in conjunction with digital technologies are increasingly non-reflexive and therefore less capable of self-critical, conscious change.

M-technology, Consumption and Gambling: A Conceptualisation of Consumer Vulnerability in an M-gambling Marketplace

Technology imbued m-marketing systems influence the consumptive lives of citizens, by facilitating anytime, anywhere business-to-consumer interactions. Business pundits’ enthusiasm towards mobile services (m-services) has been driven by the promise of a marketspace context involving seamless, business-to-consumer interactions that can be simultaneously impulse-driven, highly entertaining and omnipresent. Arguably, gambling too is impulse-driven, exciting and easily accessible. An important question that needs to be addressed is: how the convergence of mobile technology and gambling will impact the millennial consumer. The authors address this question by examining the contextually bounded interactions between internal and external factors that make mobile phone users potentially vulnerable during m-gambling interactions. By examining key themes that describe the convergence of m-technology and gambling, we clarify the experiential nature of m-gambling and its relationship to consumer vulnerability.

The science of assessment : identifying and predicting environmental impacts

The historical challenge of environmental impact assessment (EIA) has been to predict project-based impacts accurately. Both EIA legislation and the practice of EIA have evolved over the last three decades in Canada, and the development of the discipline and science of environmental assessment has improved how we apply environmental assessment to complex projects. The practice of environmental assessment integrates the social and natural sciences and relies on an eclectic knowledge base from a wide range of sources. EIA methods and tools provide a means to structure and integrate knowledge in order to evaluate and predict environmental impacts.----- This Chapter will provide a brief overview of how impacts are identified and predicted. How do we determine what aspect of the natural and social environment will be affected when a mine is excavated? How does the practitioner determine the range of potential impacts, assess whether they are significant, and predict the consequences? There are no standard answers to these questions, but there are established methods to provide a foundation for scoping and predicting the potential impacts of a project.----- Of course, the community and publics play an important role in this process, and this will be discussed in subsequent chapters. In the first part of this chapter, we will deal with impact identification, which involves appplying scoping to critical issues and determining impact significance, baseline ecosystem evaluation techniques, and how to communicate environmental impacts. In the second part of the chapter, we discuss the prediction of impacts in relation to the complexity of the environment, ecological risk assessment, and modelling.

Passive solar systems for heating, daylighting and ventilation for rooms without an equator-facing facade

Spaces without northerly orientations have an impact on the ‘energy behaviour’ of a building. This paper outlines possible energy savings and better performance achieved by different zenithal solar passive strategies (skylights, roof monitors and clerestory roof windows) and element arrangements across the roof in zones of cold to temperate climates typical of the central and central-southern Argentina. Analyses were undertaken considering daylighting, thermal and ventilation performances of the different strategies. The results indicate that heating,ventilation and lighting loads in spaces without an equator-facing facade can be significantly reduced by implementing solar passive strategies. In the thermal aspect, the solar saving fraction reached for the different strategies were averaged 43.16% for clerestories, 41.4% for roof monitors and 38.86% for skylights for a glass area of 9% to the floor area. The results also indicate average illuminance levels above 500 lux for the different clerestory and monitor arrangements, uniformity ratios of 0.66–0.82 for the most distributed arrangements and day-lighting factors between 11.78 and 20.30% for clear sky conditions, depending on the strategy. In addition, minimum air changes rates of 4 were reached for the most extreme conditions.

Competing in the new economy through large scale collaborative ventures (LSCV): a strategic marketing approach based on a study of the multifunction polis.

This paper draws on a study of government initiat ives aimed at facilitating economic development, specifically the Multifunction Polis Feasibility Study involving the governments and business enterprises of Australia and Japan (1987-1991). Large scale projects that involve collaboration between gove rnment and business (termed: large scale collaborative venture LSCV)are identified as one aspect of competing in the new economy . The study pursued the research propos ition that a LSCV can be effectively facilitated by following a theory based process similar to those in corporate practice. An approach to managing such ventures is outlined, based on strategic marketing theory that may enhance their success and thereby help countries part icipate more successfully in global competition through such ventures.

A strategic marketing approach to national development initiatives involving large scale collaborative ventures (LSCV)

This paper relates to government initiatives which aim at advancing their country’s economic development and investor attractiveness. It identifies large scale projects that involve collaboration between government and business (termed: large scale collaborative venture – LSCV) as one aspect of competing in the new economy. The study pursued the research proposition that a LSCV can be effectively facilitated by following a theory based process similar to what is used in corporate practice. An approach to managing such ventures is outlined, based on strategic marketing theory applied to a major project, the Multifunction Polis. It is proposed that such an approach may enhance the success of a collaborative venture and thereby help countries participate more successfully in global competition through such ventures.

Mobile communications : a study of factors influencing consumer use of m-services

New mobile digital communication technologies present opportunities for advertisers to capitalize on the evolving relationships of consumers with their mobile devices and their desire to access enhanced information services while mobile (m-services). Consumers already use mobile devices (cell phones, personal mobile digital assistants) for traditional phone calls and message handling (e.g., Kalakota and Robinson, 2002; Sullivan Mort and Drennan, 2002). The combination of rapidly developing mobile digital technology and high uptake rates of mobile devices presents enormous potential for delivery of m-services through these devices (Bitner, Brown, and Meuter, 2000). M-services encompass a wide variety of types including the ability to trade stock, to book theater and movie tickets while accessing seating plans online, to send and receive text and pictures, and receive personalized direct advertising such as alerts for shopping bargains. Marketing communications, and specifically advertising, may be delivered as an m-service and termed m-services advertising, forming part of the broader category of m-services. However, advertising research has not yet addressed the area of m-services and needs to do so to be able to take advantage of the advanced interactivity (Yadav and Varadarajan, 2005) of mobile communication devices. Such advertising research is likely to help develop open attitudes and responses to new business models as has been advocated for other new technology such as advanced television (Tauder, 2005). In this article, we model the factors influencing the use of m-services, in the context of consumers' existing relationships with mobile devices. First, we address the value propositions underpinning consumer involvement with mobile devices. Next, we canvass the types of involvement relevant to this consumption domain and argue that involvement, together with personal attributes innovativeness and self-efficacy, will influence use of m-services. Finally, implications for advertising delivered as an m-service are discussed, the potential for m-services advertising as part of m-commerce are canvassed, and directions for future research identified.