lnvestigating spatial linkages of construction prices in Australia's regions

Linkages among different construction markets have attracted great of attention from the construction economist. With notable exceptions, most of this infestation has carried out by using input-output analysis. Interactions among regional construction markets have been discussed in few studies and none of them investigate spatial effects on the regional construction markets. This study employed spatial econometric techniques, spatial autocorrelation and convergence tests, to analysis interactions and linkages among construction price indices in Australian six states and two territories. The empirical results indicate the presence of significant positive spatial correlation between the construction prices in Australian eight construction markets and the degree of dependence decrease sufficiently quickly as the space between units increase. The results of convergence test further present evidence on "ripple effect" in the construction prices in Australian regional markets and the changes in regional construction price would positively influence neighboring states first, and then spread out into others, and then the regional prices converge and reach a long-run equilibrium in the following quarters. Urban development policymakers and construction developers could benefit from the analysis of spatial linkages in regional construction markets.

Home based business in suburban peripheral regions and government policy: a case study of Casey, Melbourne, Australia

Home based businesses (HBB) are increasingly becoming an alternative to salaried employment. This research explores the potential for HBB to contribute significantly to the economic development of peripheral metropolitan centres. Without economic development, these centres remain dormitory suburbs with unresolved associated social and ecological issues. By mapping the diversity and limitations of HBB in the City of Casey, an outer suburban peripheral area of Melbourne, Australia, this study aims to evaluate what exists and the response by governments at all levels to further business development. This study finds that the role of government is restricted to broad initial start-ups, with no programs or support for the type of innovative HBB that need to be husbanded and encouraged to grow outside of the narrow confines of their home base.

Defining sub-regions in locally sparsified compressive sensing MRI

Magnetic Resonance Imaging (MRI) is an important imaging technique. However, it is a time consuming process. The aim of this study is to make the imaging process ef?cient. MR images are sparse in the sensing domain and Compressive Sensing exploits this sparsity. Locally sparsi?ed Compressed Sensing is a specialized case of CS which sub-divides the image and sparsi?es each region separately; later samples are taken based on sparsity level in that region. In this paper, a new structured approach is presented for de?ning the size and locality of sub-regions in image. Experiments were done on the regions de?ned by proposed framework and local sparsity constraints were used to achieve high sparsity level and to reduce the sample set. Experimental results and their comparison with global CS is presented in the paper.

Synthesis and growth mechanism of Thin-film TiO2 nanotube arrays on focused-ion-beam micropatterned 3D isolated regions of titanium on silicon

In this paper, the fabrication and growth mechanism of net-shaped micropatterned self-organized thin-film TiO2 nanotube (TFTN) arrays on a silicon substrate are reported. Electrochemical anodization is used to grow the nanotubes from thin-film titanium sputtered on a silicon substrate with an average diameter of ?30 nm and a length of ?1.5 ?m using aqueous and organic-based types of electrolytes. The fabrication and growth mechanism of TFTN arrays from micropatterned three-dimensional isolated islands of sputtered titanium on a silicon substrate is demonstrated for the first time using focused-ion-beam (FIB) technique. This work demonstrates the use of the FIB technique as a simple, high-resolution, and maskless method for high-aspect-ratio etching for the creation of isolated islands and shows great promise toward the use of the proposed approach for the development of metal oxide nanostructured devices and their integration with micro- and nanosystems within silicon-based integrated-circuit devices.

Complete mitochondrial genome of the frillneck lizard (Chlamydosaurus kingii, Reptilia; Agamidae), another squamate with two control regions.

Using PCR, the complete mitochondrial genome was sequenced in three frillneck lizards (Chlamydosaurus kingii). The mitochondria spanned over 16,761bp. As in other vertebrates, two rRNA genes, 22 tRNA genes and 13 protein coding genes were identified. However, similar to some other squamate reptiles, two control regions (CRI and CRII) were identified, spanning 801 and 812 bp, respectively. Our results were compared with another Australian member of the family Agamidae, the bearded dragon (Pogana vitticeps). The overall base composition of the light-strand sequence largely mirrored that observed in P vitticeps. Furthermore, similar to P. vitticeps, we observed an insertion 801 bp long between the ND5 and ND6 genes. However, in contrast to P vitticeps we did not observe a conserved sequence block III region. Based on a comparison among the three frillneck lizards, we also present data on the proportion of variable sites within the major mitochondrial regions.

A protocol for a discrete choice experiment: understanding preferences of patients with cancer towards their cancer care across metropolitan and rural regions in Australia.

Medical decision-making in oncology is a complicated process and to date there are few studies examining how patients with cancer make choices with respect to different features of their care. It is also unknown whether patient choices vary by geographical location and how location could account for observed rural and metropolitan cancer differences. This paper describes an ongoing study that aims to (1) examine patient and healthcare-related factors that influence choices of patients with cancer; (2) measure and quantify preferences of patients with cancer towards cancer care using a discrete choice experiment (DCE) and (3) explore preference heterogeneity between metropolitan and rural locations.