Miracle-dz/UniFAR-FTUs huggingface dataset:
Navigating the lifelong learning boat through uncharted water

More than ever before, Australian tertiary graduates will rely upon innovative use of knowledge, work-readiness skills, and advanced multi-disciplinary understandings to solve future domestic and workplace problems. This is critically evident in STEM disciplines, where global trends increasingly focus upon the need for multi-disciplinary, industry-related approaches that maximise opportunities for future employment and lifelong learning. However STEM learning and teaching remains, for the most past, discipline-content entrenched. The evidence starkly indicates that Australia is falling short in educating future STEM graduates: something different has to be done! The STEM Ecosystem project: Water Innovation Challenge (WIC) at RMIT University created opportunities for staff and students from different disciplines to work alongside industry mentors in a multi-skilled team to design, build and present innovative water sanitation solutions for a local indigenous community and a Bangladesh community. The real-world problem necessitated a paradigm shift away from discipline-based knowledge transference towards skills for the future. The project utilised approaches such as negotiated curriculum and assessment; self-directed, flexible participation in learning; use of social media as a learning tool and multi-disciplinary teamwork. Results from student surveys and interviews indicate that this project directly enhanced students' work-readiness skills and recognition of the importance of problem solving using multi-disciplinary understandings. Students reported greater self-confidence for tackling future workplace challenges. The project and its outcomes have implications for how learning and teaching occurs in Australian universities; it challenges traditional understandings of learning and teaching and has the potential to create significant impact on the calibre of future STEM graduates.
Remote network control plasma diagnostic system for Tokamak T-10

The parameters of molecular plasma in closed magnetic trap is studied in this paper. Using the system of molecular diagnostics, which was designed by the authors on the «Tokamak T-10» facility, the radiation of hydrogen isotopes at the plasma edge is investigated. The scheme of optical radiation registration within visible spectrum is described. For visualization, identification and processing of registered molecular spectra a new software is developed using MatLab environment. The software also includes electronic atlas of electronic-vibrational-rotational transitions for molecules of protium and deuterium. To register radiation from limiter cross-section a network control system is designed using the means of the Internet/Intranet. Remote control system diagram and methods are given. The examples of web-interfaces for working out equipment control scenarios and viewing of results are provided. After test run in Intranet, the remote diagnostic system will be accessible through Internet.
Protecting networks against diffusive attacks: game-theoretic resource allocation for contagion mitigation

Many real-world situations involve attempts to spread influence through a social network. For example, viral marketing is when a marketer selects a few people to receive some initial advertisement in the hopes that these `seeds' will spread the news. Even peacekeeping operations in one area have been shown to have a contagious effect on the neighboring vicinity. Each of these domains also features multiple parties seeking to maximize or mitigate a contagious effect by spreading its own influence among a select few seeds, naturally yielding an adversarial resource allocation problem. My work models the interconnected network of people as a graph and develops algorithms to optimize resource allocation in these networked competitive contagion scenarios. Game-theoretic resource allocation in the past has not considered domains with both a networked structure and contagion effects, rendering them unusable in critical domains such as rumor control, counterinsurgency, and crowd management. Networked domains without contagion effects already present computational challenges due to the large scale of the action space. To address this issue, my first contribution proposed efficient game-theoretic allocation algorithms for the graph-based urban road network domain. This work still provides the only polynomial-time algorithm for allocating vehicle checkpoints through a city, giving law enforcement officers an efficient tool to combat terrorists making their way to potential points of attack. Second, I have provided the first game-theoretic treatment for contagion mitigation in social networks and given practitioners the first principled techniques for such vital concerns as rumor control and counterinsurgency. Finally, I extended my work on game-theoretic contagion mitigation to address uncertainty about the network structure to find that, contrary to what evidence and intuition suggest, heuristic sampling approaches provide near-optimal solutions across a wide range of generative graph models and uncertainty models. Thus, despite extreme practical challenges in attaining accurate social network information, my techniques remain near-optimal across numerous forms of uncertainty in multiple synthetic and real-world graph structures. Beyond optimization of resource allocation, I have further studied contagion effects to understand the effectiveness of such resources. First, I created an evacuation simulation, ESCAPES, to explore the interaction of pedestrian fear contagion and authority fear mitigation during an evacuation. Second, using this simulator, I have advanced the frontier in contagion modeling by developing empirical evaluation methods for comparing and calibrating computational contagion models that are critical in crowd simulations and evacuation modeling. Finally, I have also conducted an examination of agent-human emotional contagion to inform the rising use of simulations for personnel training in emotionally-charged situations.
Methanol steam reforming over Cu supported on SiO2, amorphous SiO2‐Al2O3, and Al2O3 catalysts: Influence of support nature

SiO2‐, Al2O3‐, and SiO2‐Al2O3‐based catalysts containing different Si/Al ratios have been prepared to study the effect of the support nature on the methanol steam reforming process catalyst. Methanol steam reforming reaction was carried out using each of the catalysts in the temperature range of 150°C to 300°C, weight hourly space velocity (WHSV) of 1.8 h−1, and atmospheric conditions in a quartz reactor. The properties of the synthesized catalysts were determined by the X‐ray powder diffraction (XRD), Brunauer‐Emmett‐Teller (BET), field emission scanning electron microscopy (FESEM), Fourier transform infrared spectroscopy (FTIR), H2‐temperature‐programmed reduction (TPR), and temperature‐programmed desorption (TPD) techniques. SiO2‐Al2O3‐based catalysts showed better performance (yield @300°C: 87.2% (Si/Al = 0.01); 82.4% (Si/Al = 0.05); 76.6% (Si/Al = 0. 1); 69.1% (Si/Al = 0.2)) compared to SiO2 (59.3%)‐ and Al2O3 (49.5%)‐based catalysts. In addition, the γ‐Al2O3‐based catalyst produced a relatively large amount of CO (6.8% @ 150°C and 9.9% @300°C), whereas those supported on amorphous SiO2‐Al2O3 yielded much less CO. In SiO2‐Al2O3‐based catalysts, increasing Si/Al ratio decreased the catalyst reductivity. In addition, the SiO2‐Al2O3‐based catalyst with the least Si/Al ratio, which had maximum reductivity and minimum number of total acid sites, performed much better than other SiO2‐Al2O3‐based catalysts (yield: 28.3% @ 150°C and 87.2% @300°C).
Introduction

The Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) trials were held on December 20– 21, 2013, at the Homestead Miami Speedway in Homestead, Florida, in the United States. The DRC Trials are the first in a planned series of two DARPA-sponsored competitions designed to advance the capabilities of humanoid robots; a second competition (the DRC Finals) will be held on June 5–6, 2015, in Pomona, California. The DRC was motivated by a goal of “generat[ing] groundbreaking research and development in hardware and software that will enable future robots, in tandem with human counterparts, to perform the most hazardous activities in disaster zones, thus reducing casualties and saving lives. ” Specific motivation was provided by the inability of the robotic community to deliver effective assistance during the Fukushima nuclear disaster of March, 2011. 16 teams from around the world competed in the DRC Trials, with each team associated with one of four development tracks: A, B, C, or D. Track A teams received funding from DARPA to develop both a unique humanoid robot platform and associated software suite. The resulting hardware platforms included bipedal, quadrupedal, and tracked systems. Software suites typically included modules for locomotion, manipulation, state estimation, perception, and tele-operation, among other components. Track B teams received DARPA funding to develop only a software suite to control a DARPA-provided humanoid robot. The DARPA-provided robot was a bipedal robot dubbed “Atlas,” which was developed by Boston Dynamics. Finally, Track C and D teams were not initially funded by DARPA; Track C teams focused solely on software while Track D teams focused on both hardware and software development. The DRC Trials required all teams to complete a set of challenging tasks representative of those that would be faced by human rescue workers in disaster response scenarios. Successful completion of these tasks required effective robotic mobility, manipulation, and dexterity. The tasks were embodied in the following scenarios:
Recovery of carbon and nitrogen cycling and microbial community functionality in a post-lignite mining rehabilitation chronosequence in East Texas

Recovery of Carbon and Nitrogen Cycling and Microbial Community Functionality in a Post-Lignite Mining Rehabilitation Chronosequence in East Texas. (August 2012) Justin Park Ho Ng, B.S., Trinity University; M.S., University of Texas at San Antonio Co-Chairs of Advisory Committee: Dr. Terry J. Gentry Dr. Frank M. Hons Surface mining for coal alters the original soil profile characteristics and the associated physical, chemical, and biological conditions. Our objectives were to compare soil characteristics and the distribution of nutrients to 1 m depth over a chronosequence of 40 years to determine when a reclaimed mine soil (RMS) returned to premined conditions. We sampled 5 sites aged 0 to 20 years reclaimed by the crosspit spreader technique (CP) and 3 sites aged 20 to 40 years reclaimed by the mixed overburden technique (MO). An unmined site (UM) served as a control. Changes in soil texture (sand to clay loam) after mining corresponded with increased macroaggregation (>2 mm) and enhanced C sequestration up to ~250 Mg C ha -1 at the MO20 site. Soil chemical [pH, electrical conductivity (EC), and sodium adsorption ratio (SAR)] and physical properties [bulk density (BD) and texture] met or exceeded reclamation and revegetation standards. Most soil C was associated with organic matter, but a small amount of lignitic C was detected in some samples. Soil organic C and N reached or exceeded premined concentrations after 0 and 10 years, respectively. Soil NO3 -N and P did not reach premined conditions, but soil K, Ca, Mg and S exceeded premined conditions and stratified
The Effect of Synthetic Zeolite Admixture on the Durability of Concrete Paving Blocks

Concrete paving blocks that were started to be used in the last century have become very popular. They became an alternative to the natural stone. Concrete paving blocks are used for the paving of pedestrian and vehicle zones. Durability is one of the main characteristics in the production of high-quality concrete paving blocks in the Baltic region climate zone. The article describes tests with concrete paving blocks, the top layer of which contains 5% of synthetic zeolite admixture obtained by means of low temperature synthesis in laboratory conditions. This zeolite admixture is obtained from aluminium fluoride production waste. The durability of concrete paving blocks was tested according to abrasion resistance, tensile splitting strength, absorption and frost resistance. The test results revealed that 5% of zeolite admixture added to the top layer of concrete paving blocks reduce the absorption, increase the tensile splitting strength by more than 10%, and decrease abrasion by 6.5%. The zeolite admixture used in concrete paving blocks reduces the scaling about 4 times after 28 freeze-thaw cycles when 3% NaCl is used as the freezing solution. The tests revealed that synthetic zeolite admixture can be used in concrete elements production by means of vibropressing (pavement elements) to increase their durability.
Downhole interferometric illumination diagnosis and balancing

With seismic interferometry or the virtual source method, controlled sources can be redatumed from the Earth’s surface to generate so‐called virtual sources at downhole receiver locations. Generally this is done by cross‐correlation of the recorded downhole data and stacking over source locations. By studying the retrieved data at zero time lag, downhole illumination conditions that determine the virtual source radiation pattern can be analysed without a velocity model. This can be beneficial for survey planning in time‐lapse experiments. Moreover, the virtual source radiation pattern can be corrected by multi‐dimensional deconvolution or directional balancing. Such an approach can help to improve virtual source repeatability, posing major advantages for reservoir monitoring. An algorithm is proposed for so‐called illumination balancing (being closely related to directional balancing). It can be applied to single‐component receiver arrays with limited aperture below a strongly heterogeneous overburden. The algorithm is demonstrated on synthetic 3D elastic data to retrieve time‐lapse amplitude attributes.
Lord Krebs

How do you explain to the public the risk that the meat they have been eating for years may pass on a lethal disease? Or to parents that the milk they are giving their children may contain dioxins? Or to politicians that killing badgers may not be an efficient way to control TB? Lord Krebs has succeeded in two out of these three enterprises in statistical communication. Julian Champkin spoke to him at the height of a trial badger cull.
Study on signal characteristic analysis of multi-axis load measurement sensors

This study suggested a tactile sensor with piezoelectric sensors in a fibrous shape to detect multi-axial loads (vertical load and horizontal load) simultaneously for the skins of unmanned robots. The sensor was designed by finite element analyses. A simple detecting scheme of the multi-axial loads was constructed by lab-scale experiments. Verification tests of the developed tactile sensor confirmed that applied vertical and horizontal loads could be detected with less than 4% error.
Variation in the Quality of Treated Wastewater by Local Sand Filter: The Case of the Algerian Sahara Sand

In urban areas, population growth generates significant amounts of wastewater that is treated in sewage treatment plants specialize or reject directly controlling interest in the natural environment. Many scientists are looking into the issue to try to find solutions to clean water and make it drinkable. We are interested in the technique of sand filtration (in the region southwest of Algeria), as an essential phase for the treatment of wastewater, such methods are known to be well suited to rural areas, since they have a good quality of treatment, a relatively simple operation and low maintenance. The method is based on the following principle: a slow filtration, water passes under a constant hydraulic load (30 cm water) the filter bed (60 cm of sand), the hydraulic load is kept constant during the experiment. A physicochemical analysis is performed on the water sample before and after filtration, the filter bed to give us a discount of around 50% in the levels of contaminant parameters such as NTK, Ammonium, Nitrate, and Nitrite. The reduction of BOD, COD and suspended solids is about 90%. It was observed a significant increase in the potassium from 33.19 mg/l to 99.89 mg/l.
Abnormal gait recognition using exemplar based algorithm in healthcare applications

In healthcare applications, gait plays a major role in identification of the normal or abnormal person in different situations. Human gait refers to the walking style of the person, and it may also refer as locomotion using human limbs. The abnormal gait has irregular patterns of stance and swing phases. Without any clinical impairment, this paper proposes a novel approach to classify the person as normal or the person as suffering from neurological disorders from the videos using their gait videos. In addition, neurological gait disorders such as Parkinson gait, hemiplegic gait, and neuropathic gait has been identified using the gait features. Many systems are designed to detect and identify gait disorders using head, hip, heel, and toe behavior analysis from the bidirectional gait videos. As motivated by previous mechanisms, this paper proposes a novel vision based algorithm to recognize the gait abnormalities using model free approaches and significant feature vector generation from complete silhouette images of one gait cycle of a person. Here, a lean angle and ramp angle are considered as distinguishing and prominent features, and the results of these features are properly classified into normal or abnormal gait through the design of an unsupervised classifier.
Harmonics form DC biased three-phase transformer banks

This paper presents a study of the harmonics producer by saturated three-phase transformer banks caused by geomagnetically induced currents (GIC). The nonlinear models of three identical single-phase transformers are connected into Y o - Y and Y o - Δ to model the three phase transformer banks. The excitation harmonics generated from the transformer banks with different types of equivalent loads are simulated by piecewise harmonic balance method. The effect of both the unbalanced DC excitations and the unbalanced loads are investigated. The study provides information on how the excitation harmonics will be shared between the primary and secondary transformer banks as the load varies.
Development of an airship for tropical rain forest canopy exploration

Abstract The design, manufacture and testing of a 480 cubic metre helium-filled airship, or dirigible balloon, intended for flight above tropical rain forest canopy is outlined. The requirements for the airship and the preliminary sizing method are set-out. Details of the final design and flight test results are included, as well as suggestions concerning future work. Particular attention is paid to the issue of accurate station-keeping and operation close to the canopy with winds present. It is concluded that the development of a truly useful aerial platform for canopy biological studies requires further research in aerodynamics, dynamic simulation and ultra-quiet propulsion systems.
The design of a new musical glove: a live performance approach

A live performance using novel technologies is a highly complex system in which anthropological, sociological, psychological, musicological and technical issues are heavily involved. The New Interfaces for Musical Expression (NIME) community has presented a new approach to music performance often heavily technologically mediated while outputting a great deal of new digital instruments since 2001. Within this broad research field, important issues such as hardware interface design, mapping strategies, skilled performance and compositional approaches have been considered. Many NIME practitioners have explored the development of ‘gestural controllers’ in the hope of achieving natural and intimate interaction while also designing clear interactions between performer’s gesture and sound from an audience perspective. This thesis expands on this notion through the consideration of the possibilities for enhancing the audience engagement and understanding of the underlaying structures and mechanics of the live performance. To this end, a newly developed data glove named Pointing-at is developed. A number of live performances in which the data glove is used are presented and discussed. The analysis of both the theoretical and practical elements of the research formed the basis for the development of an approach to the design of nuanced gestural performative actions that are both visually and sonically legible to audience members. In that regard, the use of metaphors that are coherent to the theme of the performance have been found to be a useful tool that can enhance both the performer and audience experience of the live performance.
P‐13.8: Evaluation of the Structure‐Capacitance Relationship in OLED Device and the Influence of Capacitance Variation on Pixel Circuit

Over the past years, active‐matrix organic light‐emitting diode (AMOLED) has established a commanding position in displays for smart phones, smart watches and TVs. However, AMOLED display still faces challenges in pursuing high‐level performance as TFT and/or OLED suffer device‐level variation and dynamic shifting resulting from the aging effect. Thus, a variety of internal compensation circuits, which are designed to partially compensate these harmful variation and dynamic shifting, have been implemented into pixel circuits of AMOLED products. Previous studies have mainly focused on the instability of TFT device, however the capacitance of OLED device could also affect the overall compensation effect. In this study, the structure‐capacitance relationship of OLED device is systematically presented and the influence of capacitance variation on the pixel circuits at compensation stage is also discussed.
Seedling Mortality by Litterfall in Amazonian Forest Fragments 1

Physical damage caused by litterfall is a source of seedling mortality that can be influenced by environmental disturbances, such as the isolation of forest fragments due to habitat destruction. The impact of physical damage in seedling mortality was evaluated in forest fragments and continuous forests in central Amazonia using artificial seedlings. A total of 11 reserves distributed among three sites were studied: three 1–ha, three 10–ha, two 100–ha, and three continuous forest reserves. In each reserve, ten transects each comprised of ten artificial seedlings were monitored for one year at four–week intervals. Survival curves were compared using failure time analysis, and the effect of reserve size on artificial seedling mortality after one year was analyzed with a categorical model. In the analysis of survival curves, artificial seedling survival was significantly greater in the continuous forest than in the 10–ha reserve at one site only, a result that may have occurred by chance. After one year, artificial seedlings suffered similar mortality due to litterfall among the reserves sampled. Physical damage by litterfall varied from 28 to 35 percent annually in the 1–and 10–ha forest fragments compared to 20 to 24 percent in the continuous forest. Mortality of artificial seedlings in the continuous forest was similar to other tropical sites in which the same method has been used, and may indicate that litterfall plays an important role in seedling mortality in the terra firme tropical forests of central Amazonia.