Body fat estimated from anthropometric and electrical impedance measurements

Estimates of body fat based on anthropometric measurements were compared in two groups of females, one from the local community and the other from the 1984 Australian Olympic Team. Estimates of body fat based on electrical impedance measurements were also made for the community group. For estimates of total body fat based on skinfold measurements, a significant difference of approximately 1 kg fat/m2 was observed between athletes and non-athletes. In the group of non-athletes estimates of fat based on skinfold measurements were significantly higher than those based on body mass index, with estimates from electrical impedance falling between. Electrical impedance measurements may provide a means of estimating body fat which takes into account differences in fat distribution and in the ratio of fat to fat-free tissue and may thus overcome the problems associated with estimates based on measurements of subcutaneous fat (skinfolds) or body size which do not allow for these differences.

Making PBL teams successful : a study on student diversity in a first year electrical engineering programme

Problem based learning (PBL) is a group learning environment that involves a radical change in the way students learn and the role that academic staff play in facilitating learning. The PBL approach claims to build extended technological and social understandings as it offers a context for development of autonomous learners. It has an emphasis on collective and individual learning motivation and decision-making behaviours.

In this paper, we present the responses of students to the heterogeneous characteristic of PBL teams in a first year electrical engineering degree course at an Australian University. The learning cultures in PBL teams that emerge as a result of the diverse characteristics of teams are also presented in this paper.

A number of PBL teams were observed and interviewed throughout their first year course with their consent. Analysis of the data collected about students’ learning and outcomes in PBL teams informed the ways in which individual students approach their learning, the ways in which they control, regulate and direct their learning individually and as a group and the extent to which they participate, engage and thereby learn in the course.

It is evident that some students have a strong influence on the behaviour of other students in their team. These students also influenced what is learnt as a team, the ways in which they interrelated, worked as a team and problem solved in changing circumstances. Therefore, when designing student teams for PBL academics should not assume that a mono-cultural group or a mixed-ability group of students will work successfully together. We think that the results of this research inform both the design of PBL courses and the facilitation of PBL groups to accomplish successful group learning outcomes.

Morphology evolution during annealing and electrical conductivity of titania nanotube films

Titania nanotube films were produced by anodization of titanium foil. The titania nanotube films were annealed at different temperatures. Morphology evolution, phase transformation and electrical conductivity of the titania nanotubes were studied. Results showed that the nanotube walls became rough, porous and even collapsed after annealed at 400, 500 and 600°C respectively. Titania anatase phase formed after annealed at 400°C; the amount of anatase phase increased as the annealing temperature increased. The conductivity of the nanotube film annealed at 400°C was improved greatly compared with the conductivity of the as-anodized nanotube film. However, the conductivity of the nanotube films annealed at higher temperatures decreased. The effect of the morphology on the electronic conductivity of the titania nanotube films was discussed.

Influence of ionic liquids on the electrical conductivity and morphology of PEDOT:PSS films

Small-molecule nonvolatile additives based on ionic liquids (IL) as electrical conductivity enhancer in Poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) was studied. Ionic liquids were investigated in the synthesis of self-assembled, highly organized hybrid nanostructures due to their ability as supramolecular solvents. Different percentage of five ionic liquids, such as 1-butyl-3-methylimidazolium tetrafluoroborate (bmim) F 4 and 1-butyl-3-methylimidazolium bromide (bmim)Br were added to a PEDOT:PSScommercial dispersion. Films of pure PEDOT:PSS showed an average conductivity of 14 S cm-1, which corresponded to the value range given by the supplier. AFM images showed that IL induced the formation of a three-dimensional conducting network with smaller PEDOT domains. The ionic character of the films was significantly increased because of the presence of ionic liquids, which can be used effectively in optoelectronic devices.

Study of electrical usage and demand at the container terminal

The electrical usage and demand at container terminal were studied for two years. The results provide a technique for calculating the maximum demand at container terminal with a more accurate result, leading to a substantial saving both in capital cost for electrical infrastructure investment and ongoing electricity costs.

Electrical characterization of new electrochromic devices

Electrochromic devices change their color and optical properties with applied voltage. A new symmetrical electrochromic configuration was constructed in previous works, where PEDOT acted as electrochromic layer or as counter electrode layer, depending on the polarity of the applied voltage. Devices of around 500mm2 and switching voltages from 0,5V to 2V are used in this work. Measured electrochemical impedance is fitted to an equivalent circuit based on a Randles cell, with Warburg impedance simulating ionic diffusion at low frequencies. Voltage dependence is analyzed for the first time in this kind of devices. Results show homogeneity problems in the contact layers, not seen in normal operation, and the voltage dependence on some construction parameters. This will be used to improve the devices construction, but improvements in the equivalent circuit should also be made. The proposed equivalent circuit is not valid after the redox reaction, from 1.5 to 2V.

Electrical power generation from randomly-oriented electrospun nanofibrous nonwoven

In this study, we have demonstrated that randomly-oriented electrospun PVDF nanofiber nonwovens can be used directly as an active layer to generate electrical power with a voltage output as high as 4 volt and current 4 micoramp scales on a small nonwoven piece. This discovery may provide a simple, efficient, cost-effective and flexible solution to self-powering of microelectronics for various purposes.

Electrical Stimulation of Myoblast Proliferation and Differentiation on Aligned Nanostructured Conductive Polymer Platforms

In this study, nanostructured conductive platforms synthesized from aligned multiwalled carbon nanotubes and polypyrrole are investigated as myo-regenerative scaffolds. Myotube formation follows a linear path on the platforms coinciding with extent of nanotopography. In addition, electrical stimulation enhances myo-nuclear number and differentiation. These studies demonstrate that conductive polymer platforms can be used to influence muscle cell behaviour through nanostructure and electrical stimulation.

One-Step Wet-Spinning Process of Poly(3,4-ethylenedioxythiophene):Poly(styrenesulfonate) Fibers and the Origin of Higher Electrical Conductivity

A simplified wet-spinning process for the production of continuous poly (3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) fibers is reported. Conductivity enhancement of PEDOT:PSS fibers up to 223 S cm−1 has been demonstrated when these fibers are exposed to ethylene glycol as a post-synthesis processing step. In a new spinning approach it is shown that by employing a spinning formulation consisting of an aqueous blend of PEDOT:PSS and poly(ethlylene glycol), the need for post-spinning treatment with ethylene glycol is eliminated. With this approach, 30-fold conductivity enhancements from 9 to 264 S cm−1 are achieved with respect to an untreated fiber. This one-step approach also demonstrates a significant enhancement in the redox properties of the fibers. These improvements are attributed to an improved molecular ordering of the PEDOT chains in the direction of the fiber axis and the consequential enrichment of linear (or expanded-coil like) conformation to preference bipolaronic electronic structures as evidenced by Raman spectroscopy, solid-state electron spin resonance (ESR) and in situ electrochemical ESR studies.

Construction of neural network-based prediction intervals for short-term electrical load forecasting

Short-term load forecasting (STLF) is of great importance for control and scheduling of electrical power systems. The uncertainty of power systems increases due to the random nature of climate and the penetration of the renewable energies such as wind and solar power. Traditional methods for generating point forecasts of load demands cannot properly handle uncertainties in datasets. To quantify these potential uncertainties associated with forecasts, this paper implements a neural network (NN)-based method for construction of prediction intervals (PIs). A newly proposed method, called lower upper bound estimation (LUBE), is applied to develop PIs using NN models. The primary multi-objective problem is firstly transformed into a constrained single-objective problem. This new problem formulation is closer to the original problem and has fewer parameters than the cost function. Particle swarm optimization (PSO) integrated with the mutation operator is used to solve the problem. Two case studies from Singapore and New South Wales (Australia) historical load datasets are used to validate the PSO-based LUBE method. Demonstrated results show that the proposed method can construct high quality PIs for load forecasting applications.

Porous carbon nanotube/polyvinylidene fluoride composite material: Superhydrophobicity/superoleophilicity and tunability of electrical conductivity

Porous carbon nanotube/polyvinylidene fluoride (CNT/PVDF) composite material can be fabricated via formation and freeze-drying of a gel. The field emission scanning electron microscopy, nitrogen adsorption-desorption and pore size distribution analysis reveal that the introduction of a small amount of carbon nanotubes (CNTs) can effectively increase the surface roughness and porosity of polyvinylidene fluoride (PVDF). Contact angle measurements of water and oil indicate that the as-obtained composite material is superhydrophobic and superoleophilic. Further experiments demonstrate that these composite material can be efficiently used to separate/absorb the insoluble oil from oil polluted water as membrane/absorbent. Most importantly, the electrical conductivity of such porous CNT/PVDF composite material can be tuned by adjusting the mass ratio of CNT to PVDF without obviously changing the superhydrophobicity or superoleophilicity. The unique properties of the porous CNT/PVDF composite material make it a promising candidate for oil-polluted water treatment as well as water-repellent catalyst-supporting electrode material.