University of Wollongong

About: University of Wollongong is a education organization based out in Wollongong, New South Wales, Australia. It is known for research contribution in the topics: Population & Graphene. The organization has 15674 authors who have published 46658 publications receiving 1197471 citations. The organization is also known as: UOW & Wollongong University.

Who's Driving the Asylum Debate? Newspaper and Government Representations of Asylum Seekers

Abstract: The welfare and future of asylum seekers in Australia have been very contentious contemporary issues. Findings based on content analysis of media releases in 2001 and 2002 reveal the unrelentingly negative way in which the federal government portrayed asylum seekers. While the government's negative tenor was constant during the study period, the specific terms of reference altered, from 'threat' through 'other', to 'illegality' and to 'burden'. The negative construction of asylum seekers was clearly mutable. Analysis of newspaper reporting during the same period indicates that the media largely adopted the negativity and specific references of the government. The media dependence upon government statements and spokespersons in part explains this relation. The findings generally support the 'propaganda model' that holds a pessimistic view of the news media's critical abilities. However, the media departed somewhat slightly from the government's unchanging stance following some key events and revelations. Clearly, there is scope for disrupting the flow of negative constructions from government to media, and ultimately to audiences.

Mesoporous metallic rhodium nanoparticles

Abstract: Mesoporous noble metals are an emerging class of cutting-edge nanostructured catalysts due to their abundant exposed active sites and highly accessible surfaces Although various noble metal (eg Pt, Pd and Au) structures have been synthesized by hard- and soft-templating methods, mesoporous rhodium (Rh) nanoparticles have never been generated via chemical reduction, in part due to the relatively high surface energy of rhodium (Rh) metal Here we describe a simple, scalable route to generate mesoporous Rh by chemical reduction on polymeric micelle templates [poly(ethylene oxide)-b-poly(methyl methacrylate) (PEO-b-PMMA)] The mesoporous Rh nanoparticles exhibited a ∼26 times enhancement for the electrocatalytic oxidation of methanol compared to commercially available Rh catalyst Surprisingly, the high surface area mesoporous structure of the Rh catalyst was thermally stable up to 400 °C The combination of high surface area and thermal stability also enables superior catalytic activity for the remediation of nitric oxide (NO) in lean-burn exhaust containing high concentrations of O2 Mesoporous noble metal nanostructures offer great promise in catalytic applications Here, Yamauchi and co-workers synthesize mesoporous rhodium nanoparticles using polymeric micelle templates, and report appreciable activities for methanol oxidation and NO remediation

A self-organizing map for adaptive processing of structured data

Abstract: Recent developments in the area of neural networks produced models capable of dealing with structured data. Here, we propose the first fully unsupervised model, namely an extension of traditional self-organizing maps (SOMs), for the processing of labeled directed acyclic graphs (DAGs). The extension is obtained by using the unfolding procedure adopted in recurrent and recursive neural networks, with the replicated neurons in the unfolded network comprising of a full SOM. This approach enables the discovery of similarities among objects including vectors consisting of numerical data. The capabilities of the model are analyzed in detail by utilizing a relatively large data set taken from an artificial benchmark problem involving visual patterns encoded as labeled DAGs. The experimental results demonstrate clearly that the proposed model is capable of exploiting both information conveyed in the labels attached to each node of the input DAGs and information encoded in the DAG topology.

Oxygen-deficient anatase TiO2@C nanospindles with pseudocapacitive contribution for enhancing lithium storage

Abstract: Utilising pseudocapacitive lithium storage is one of the most effective methods to improve the rate performance. In this work, hydrogenated anatase TiO2 nanospindles with a carbon coating (H-TiO2@C) are synthesized using a facile hydrothermal process, followed by an annealing treatment of 506 epoxy resin coated TiO2 nanospindles in a H2/Ar atmosphere. The hydrogenation process can generate rich oxygen vacancies on the outermost surface of TiO2 nanospindles. When used as an anode material for LIBs, the H-TiO2@C electrode exhibits excellent cycling ability and rate performance. It delivers a high reversible capacity of 310 mA h g−1 at 0.1 A g−1 and 126 mA h g−1 at 1 A g−1. The pseudocapacitive contribution is as high as 63.9% as revealed by cyclic voltammetry. Such an excellent electrochemical performance can be ascribed to the synergistic effect of oxygen vacancies and the carbon coating for enhancing the pseudocapacitive effect. This work may provide a new strategy to effectively improve the pseudocapacitive properties of metal oxides.