From Research Management System to Digital Repository: Managing and storing research outputs at the University of Sydney

This poster demonstrates a system for transferring data and objects from the University of Sydney Research Office research management system (RMS) to a Library supported digital repository (DSpace)

From Research Management System to Digital Repository: Managing and storing research outputs at the University of Sydney

This poster demonstrates a system for transferring data and objects from the University of Sydney Research Office research management system (RMS) to a Library supported digital repository (DSpace)

Mining the Protein Data Bank to Differentiate Error from Structural Variation in Clustered Static Structures: An Examination of HIV Protease

The Protein Data Bank (PDB) contains over 71,000 structures. Extensively studied proteins have hundreds of submissions available, including mutations, different complexes, and space groups, allowing for application of data-mining algorithms to analyze an array of static structures and gain insight about a protein’s structural variation and possibly its dynamics. This investigation is a case study of HIV protease (PR) using in-house algorithms for data mining and structure superposition through generalized formulæ that account for multiple conformations and fractional occupancies. Temperature factors (B-factors) are compared with spatial displacement from the mean structure over the entire study set and separately over bound and ligand-free structures, to assess the significance of structural deviation in a statistical context. Space group differences are also examined

Characterization of carbonic anhydrase isozyme specific inhibition by sulfamated 2-ethylestra compounds

Sulfamated 2-ethylestra compounds have demonstrated strong anticancer activity, high bioavailability and an ability to bypass liver metabolism by reversibly binding carbonic anhydrase (CA) II in erythrocytes. Another CA isoform, CA IX, is overexpressed in many cancers. The CA domain of CA IX is oriented extracellularly, which may permit targeting inhibitors to tumors. Presented here is the characterization of three 2-ethylestra compounds bound to both CA II and a CA IX mimic protein. Inhibition by 18O exchange showed that compound 16 demonstrated an approximately 12-fold higher affinity for CA II over CA IX mimic. Structurally, compounds 15 and 16 showed alternate binding modes between CA II and CA IX mimic, apparently due to a water-mediated hydrogen bond to the isozyme-specific residue 67. Though the specificity was demonstrated for CA II over CA IX, this study reveals insights that may be key to developing isozyme specific CA inhibitors for novel anticancer therapies.This work was supported by NIH Grant GM25154 and by grants from the Medical Research Council of South Africa (AG374, AK076), the Cancer Association of South Africa (AK246), the Struwig-Germeshuysen Cancer Research Trust of South Africa (AJ038) and RESCOM University of Pretoria (A0R984).http://www.benthamscience.com/lddd/nf201

Performance characteristics of magnesium-lead chloride bipolar battery

Magnesium-lead chloride batteries are suitable for some selected underwater applications like passive Sonobuoy. This cell system possesses constant steady voltage, quick activation time and long shelf life. In this paper, the performance characteristics of magnesium-lead chloride bipolar batteries consisting of different numbers of cells and the effect of temperature on the battery capacity are presente

Bipartite theory on Neighbourhood dominating and global dominating sets of a graph

Bipartite theory of graphs was formulated by Stephen Hedetniemi and Renu Laskar in which concepts in Graph theory have equivalent formulations as concepts for bipartite graphs.  We give the bipartite version of Neighbourhood sets, Line neighbourhood set and Global dominating set

Effect of addition agents on the reduction of divalent silver oxide

This paper reports the results of investigation carried out on the preparation of silver (11) oxide by the chemical method and electrochemical reduction of silver (11) oxide with and without additional agents. The results indicate that a suitable composition of the material with additives can give single-stage discharg

X− Dominating colour transversals in graphs

Let G = (X, Y,E) be a bipartite graph. A X-dominating set D ⊆ X is called a X−dominating colour transversal set of a graph G if D is a transversal of at least one $chi$−partition of G.The minimum cardinal- ity of a X−dominating colour transversal set is called X−dominating colour transversal number and is denoted by $chi_{dct}(G)$. We find the bounds of X−dominating colour transversal number and characterize the graphs attaining the bound

Process modelling and techno-economic analysis of anaerobic digestion of sewage sludge integrated with wet oxidation using a gravity pressure vessel and thermal hydrolysis

Anaerobic digestion (AD) of sewage sludge is used to biodegrade sewage sludge into biomethane and digestate. With the addition of thermal processes such as thermal hydrolysis (TH) and wet oxidation (WO), AD biodegradability generally improves. Implementation of additional treatment is challenging due to the limitation in the mass and energy balances. Hence, tools such as process simulation can be utilized to predict the input and output around the process. The techno-economic analysis (TEA) of AD, especially incorporating the TH or WO using gravity pressure vessel (GPV) technology, is limited in the literature. In this study, TEA for four different scenarios of AD was conducted using Aspen Plus and economic analysis tools: (1) without any pre- or post-treatment, (2) with TH pre-treatment, (3) with 100% WO post-treatment, and (4) with 20% partial wet oxidation (PWO) and acid hydrolysis pre- or post-treatment. A simulation model (GPVM) was developed using Aspen Plus to mimic the GPV reactor. The study outcomes showed that Scenario 3 with 100% WO post-treatment was the most suitable for processing parameters and sludge treatment cost. The sensitivity analysis concluded that operating cost and plant capacity are the dominant factors that impact the plant feasibility significantly.</p