Graphene oxide decorated diatom silica particles as new nano-hybrids: Towards smart natural drug microcarriers

Herein, we demonstrate the fabrication of a novel nano-hybrid material based on diatom silica microparticles from diatomaceous earth (DE) and graphene oxide (GO). Two different approaches for the fabrication of nano-hybrids were used, including covalent coupling of GO sheets onto the diatom surface and electrostatic attachment. Covalent attachment was carried out through a facile amine coupling strategy via activation of carboxyl groups on GO, followed by covalent attachment to amine terminal groups of 3-aminopropyl-triethoxysilane (APTES) functionalized DE particles. Electrostatic attachment of GO (i.e. negatively charged) was carried out on positively charged APTES functionalized DE particles. The GO decorated DE nano-hybrids prepared with both the fabrication processes were extensively characterized by SEM, TEM, FTIR, and Raman spectroscopy to confirm the new chemical composition and structure. The application of the GO-DE nano-hybrid as a smart pH sensitive micro-drug carrier at pH 7.4 and pH 3.5 was demonstrated using a model drug, indomethacin (IMC). Finally, the drug release data were fitted to zero-order and Korsmeyer-Peppas models to understand the mechanism of drug release. This journal is © The Royal Society of Chemistry.

Generic drug prices and policy in Australia: room for improvement? A comparative analysis with England

To assess the degree to which reimbursement prices in Australia and England differ for a range of generic drugs, and to analyse the supply- and demand-side factors that may contribute to these differences.

Remote monitoring system enabling cloud technology upon smart phones and inertial sensors for human kinematics

Stroke is a common neurological condition which is becoming increasingly common as the population ages. This entails healthcare monitoring systems suitable for home use, with remote access for medical professionals and emergency responders. The mobile phone is becoming the easy access tool for self-evaluation of health, but it is hindered by inherent problems including computational power and storage capacity. This research proposes a novel cloud based architecture of a biomedical system for a wearable motion kinematic analysis system which mitigates the above mentioned deficiencies of mobile devices. The system contains three subsystems: 1. Bio Kin WMS for measuring the acceleration and rotation of movement 2. Bio Kin Mobi for Mobile phone based data gathering and visualization 3. Bio Kin Cloud for data intensive computations and storage. The system is implemented as a web system and an android based mobile application. The web system communicates with the mobile application using an encrypted data structure containing sensor data and identifiable headings. The raw data, according to identifiable headings, is stored in the Amazon Relational Database Service which is automatically backed up daily. The system was deployed and tested in Amazon Web Services.

Kinetics of γ-Mg17Al12 phase dissolution and its effect on room temperature tensile properties in as-cast AZ80 magnesium alloy

As-cast AZ80 magnesium alloy consists of α-Mg, eutectic product of α-Mg and γ-Mg17Al12, with the latter present in the form of partially and fully divorce eutectic. There occurs dissolution of harder γ-Mg17Al12 phase during homogenization treatment at 400 ° and 439 °C. The proportion of the α-Mg and γ-Mg17Al12 phase was varied by solutionizing the alloy for various lengths of time at these temperatures, in order to investigate the kinetics of phase transformation and to evaluate the effect of phase proportion, size and morphology on room temperature tensile properties. It was found that the yield strength decreases with the increase in solutionizing temperature from 400° to 439 °C and at the same time, ductility in general increases with the increasing solutionizing temperature. The variation in tensile properties and the nature of fractographs were analyzed in terms of the effects of microstructure. © (2014) Trans Tech Publications, Switzerland.

Making intellectual room for persona studies: a new consciousness and a shifted perspective

It is an enormously difficult—and perhaps impossible, but ultimately important—task to comprehensively define the contemporary moment through a particular concept. This introduction and this journal make the claim that both in a pervasive way and to a pandemic extent, there is enormous activity and energy in the production, construction, and exhibition of personas. Something quite extraordinary has shifted over the last twenty years that has led to this intensive focus on constructing strategic masks of identity. The catalyst is the development of online culture and its invocation to personalize the expression of a public self—essentially a persona—regularly and incessantly. This culture of producing and monitoring our public selves is the focus of this journal as online culture blends with everyday culture and leads to an insistent proliferation of personas for both presentation and for strategic purposes in order to manage very new notions of value and reputation. The task of investigating persona is complex, and is dependent on connections and intersections across an array of disciplines. This journal and the field of Persona Studies is designed to serve as a site for this essential work of comprehending, analysing, and critiquing persona, and to allow disciplines to intersect, exchange ideas, and debate the play of persona historically and in contemporary culture.

Forming behaviour analysis and constitutive modelling of Ti-6Al-4V at room temperature.

 A constitutive model was proposed in this thesis and a promising approach for accurate prediction of forming behaviour of high strength titanium alloy sheet metal forming at room temperature is presented. Outcomes showed a potential solution of cold roll forming of this material for aerospace and automotive structural applications.

A novel distributed algorithm for power loss minimizing in Smart Grid

Because power generation of renewable resources are unstable and demands of the customers are time-varying, the supply power and demands of the customers are always unequal. To meet the demands of the customers, power is transmitted from primary power generation to secondary power generation. It will cause high power loss. To solve this problem, a distributed algorithm is proposed in this paper. By using the algorithm, the micro-grids are able to exchange power with their neighbors so as to minimize the total power losses of the smart grid. Moreover, communication overhead (bandwidth) is reduced, comparing with centralized algorithm. Through computer simulations, we demonstrate that the proposed algorithm can lead to near-optimal result for alleviating the average power loss per micro-grid and reduce the communication overhead significantly in contrast with the centralized approach.

Fog computing: a cloud to the ground support for smart things and machine-to-machine networks

Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.

Agent-based smart grid protection and security

The vision of a smart grid is to provide a modern, resilient, and secure electric power grid as it boasts up with a highly reliable and efficient environment through effective use of its information and communication technology (ICT). Generally, the control and operation of a smart grid which integrate the distributed energy resources (DERs) such as, wind power, solar power, energy storage, etc., largely depends on a complex network of computers, softwares, and communication infrastructure superimposed on its physical grid architecture facilitated with the deployment of intelligent decision support system applications. In recent years, multi-agent system (MAS) has been well investigated for wide area power system applications and specially gained a significant attention in smart grid protection and security due to its distributed characteristics. In this chapter, a MAS framework for smart grid protection relay coordination is proposed, which consists of a number of intelligent autonomous agents each of which are embedded with the protection relays. Each agent has its own thread of control that provides it with a capability to operate the circuit breakers (CBs) using the critical clearing time (CCT) information as well as communicate with each other through high speed communication network. Besides physical failure, since smart grid highly depends on communication infrastructure, it is vulnerable to several cyber threats on its information and communication channel. An attacker who has knowledge about a certain smart grid communication framework can easily compromise its appliances and components by corrupting the information which may destabilize a system results a widespread blackout. To mitigate such risk of cyber attacks, a few innovative counter measuring techniques are discussed in this chapter.

Development of high performance materials based on smart elastomer nanocomposites

 The present thesis explores the fabrication of technologically relevant nanocomposites out of a few elastomers and conducting fillers like carbon nanotubes, graphene and polyaniline. The developed materials have good applications in sensors, shape memory devices and capacitors. Different characterization methods reveal the influence of filler-elastomer interactions on the various properties of the obtained nanocomposites as well.