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Microscale Freeform Integration by Directed Self Assembly
Most solid freeform fabrication (SFF) manufacturing processes assemble uniform
components such as powder particles or polymer chains to produce desired geometries. Their
capacity for producing highly functional parts (integrated actuation, sensing, and electronics)
will dramatically increase when multiple materials and functional subcomponents can be
automatically integrated. This paper addresses criteria for a system that integrates multiple
materials and components through computer-controlled self-assembly. It builds complex systems
from layers of self-assembled micro-components. The paper will address implementation
methods, present a concept demonstration, and consider its application to micro-thermoelectric
systems. This manufacturing process can be enhanced further through integration with mature
additive processes.Mechanical Engineerin
Spectral tuning of plasmon-enhanced silicon quantum dot luminescence
In the presence of nanoscale silver island arrays, silicon quantum dots exhibit up to sevenfold luminescence enhancements at emission frequencies that correspond to the collective dipole plasmon resonance frequency of the Ag island array. Using electron-beam lithography to alter the pitch and particle diameter, this wavelength-selective enhancement can be varied as the metal array resonance wavelength is tuned from 600 to 900 nm. The luminescence intensity enhancement upon coupling is attributed to an increase in the radiative decay rate of the silicon quantum dots
Phosphine Functionalization of GaAs(111)A Surfaces
Phosphorus-functionalized GaAs surfaces have been prepared by exposure of Cl-terminated GaAs(111)A surfaces to triethylphosphine (PEt3) or trichlorophosphine (PCl3), or by the direct functionalization of the native-oxide terminated GaAs(111)A surface with PCl3. The presence of phosphorus on each functionalized surface was confirmed by X-ray photoelectron spectroscopy. High-resolution, soft X-ray photoelectron spectroscopy was used to evaluate the As and Ga 3d regions of such surfaces. On PEt3 treated surfaces, the Ga 3d spectra exhibited a bulk Ga peak as well as peaks that were shifted to 0.35, 0.92 and 1.86 eV higher binding energy. These peaks were assigned to residual Cl-terminated Ga surface sites, surficial Ga2O and surficial Ga2O3, respectively. For PCl3-treated surfaces, the Ga 3d spectra displayed peaks ascribable to bulk Ga(As), Ga2O, and Ga2O3, as well as a peak shifted 0.30 eV to higher binding energy relative to the bulk signal. A peak corresponding to Ga(OH)3, observed on the Cl-terminated surface, was absent from all of the phosphine-functionalized surfaces. After reaction of the Cl-terminated GaAs(111)A surface with PCl3 or PEt3, the As 3d spectral region was free of As oxides and As0. Although native oxide-terminated GaAs surfaces were free of As oxides after reaction with PCl3, such surfaces contained detectable amounts of As0. Photoluminescence measurements indicted that phosphine-functionalized surfaces prepared from Cl-terminated GaAs(111)A surfaces had better electrical properties than the native-oxide capped GaAs(111)A surface, while the native-oxide covered surface treated with PCl3 showed no enhancement in PL intensity
The changing motivations of students' use of lecture podcasts across a semester: an extended theory of planned behaviour approach
We extended the previous work of Moss, O’Connor and White, to include a measure of group norms within the theory of planned behaviour (TPB), to examine the influences on students’ decisions to use lecture podcasts as part of their learning. Participants (N = 90) completed the extended TPB predictors before semester began (Time 1) and mid-semester (Time 2) and reported on their podcast use at mid-semester (Time 2) and end of semester (Time 3). We found that attitudes and perceived social pressures were important in informing intentions at both time points. At Time 1, perceptions of control over performing the behaviour and, at Time 2, perceptions of whether podcast use was normative among fellow students (group norms) also predicted intended podcast use. Intentions to use podcasting predicted self-reported use at both Time 2 and Time 3. These results provide important applied information for educators to encourage student use of novel on-line educational tools
DOG-SPOT database for comprehensive management of dog genetic research data
Research laboratories studying the genetics of companion animals have no database tools specifically designed to aid in the management of the many kinds of data that are generated, stored and analyzed. We have developed a relational database, "DOG-SPOT," to provide such a tool. Implemented in MS-Access, the database is easy to extend or customize to suit a lab's particular needs. With DOG-SPOT a lab can manage data relating to dogs, breeds, samples, biomaterials, phenotypes, owners, communications, amplicons, sequences, markers, genotypes and personnel. Such an integrated data structure helps ensure high quality data entry and makes it easy to track physical stocks of biomaterials and oligonucleotides
Improving the FAIRness of Australia’s grains research sector data
Across Australia’s arable landscapes, thousands of crop trials have been conducted to improve the profitability and sustainability of Australian grain production. Although there have been significant steps to make knowledge gained from trials available to users, there is the potential to further support the development of next generation data models and knowledge products by integrating trials from disparatei sources by adhering to FAIR principles of data management. That is, making data: findable, accessible, interoperable and reusable. This research explores whether Online Farm Trials increase the FAIRness of agricultural grains trial datasets through a comparison of the trial data capture and handling practices of organisations whose datasets are not discoverable through Online Farm Trials (OFT) (N = 50) with the FAIRness of the datasets discoverable through OFT. The findings demonstrate that OFT is helping to make the results of Australia’s grains trials more FAIR to the users of trial data, and suggests a number of improvements to the FAIRness of trial datasets, foremost through the use of machine-readable metadata
Process Design for the Production of Ethylene from Ethanol
This project considers using ethanol dehydration as a means to mass-produce ethylene. 2.3MM tonnes of a 95% ethanol / 5% water feed will be converted into 1MM tonnes of 99.96% pure ethylene per year using a series of adiabatic, fixed-bed catalytic reactors operating at 750°F and 600psi. The catalyst is gamma-alumina in the form of 1cm diameter spherical pellets. After the dehydration process, the product will be purified using two flash separation units, an adsorption unit with zeolite 13X sorbent, and finally a cryogenic distillation unit. The plant will be located in São Paulo, Brazil. Because ethanol production in Brazil is seasonal, the plant will operate only 280 days per year at a very high capacity. This includes 30 days worth of on-site feed storage. After conducting an analysis of the sensitivity of the plant’s Net Present Value and Internal Rate of Return to ethylene and ethanol prices, it was determined that while profitability is not attainable in the current market (which prices ethanol at 0.60/lb), profitability is attainable should ethylene prices rise to 0.305/lb
Dataset for: Hepcidin in Tanzanian children with sickle cell disease
An anonymised dataset of 199 pediatric patients aged 3-18 years of age, enrolled in the prospective Muhimbili Sickle Cohort (MSC), (Makani et al. PloS ONE 2011), whose parent or guardian consented to participate, which included having blood and DNA samples archived for studies relating to understanding the pathophysiology of sickle cell disease in Tanzanian patients. The dataset contains variables on age, sex, sickle phenotype (derived from electrophoresis and high performance liquid chromatography), history of previous blood transfusion and averaged steady state hemoglobin concentrations over the previous year prior to the samples included in this analysis. Samples included in this analysis were collected at scheduled routine clinic visits at which children were assessed by the attending physician as “clinically well” with no current pain, no fever and were malaria test (smear and or rapid test) negative, and had no reported or recorded hospitalization in the previous month. Laboratory data from the analysed samples include complete blood count data, clinical chemistry values, inflammatory markers, iron markers, erythropoietin and hepcidin. Alpha thalassaemia 3.7 deletion and glucose-6-phosphate dehydrogenase deficiency as potentially disease modifying genotypes are also included
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