Frank Will - Backyard innovation

Frank Will has invented the OVER7 system to reduce fuel consumption in common family cars.

Setback distances as a conservation tool in wildlife-human interactions : testing their efficacy for birds affected by vehicles on open-coast sandy beaches

In some wilderness areas, wildlife encounter vehicles disrupt their behaviour and habitat use. Changing driver behaviour has been proposed where bans on vehicle use are politically unpalatable, but the efficacy of vehicle setbacks and reduced speeds remains largely untested. We characterised bird-vehicle encounters in terms of driver behaviour and the disturbance caused to birds, and tested whether spatial buffers or lower speeds reduced bird escape responses on open beaches. Focal observations showed that: i) most drivers did not create sizeable buffers between their vehicles and birds; ii) bird disturbance was frequent; and iii) predictors of probability of flushing (escape) were setback distance and vehicle type (buses flushed birds at higher rates than cars). Experiments demonstrated that substantial reductions in bird escape responses required buffers to be wide (> 25 m) and vehicle speeds to be slow (< 30 km h-1). Setback distances can reduce impacts on wildlife, provided that they are carefully designed and derived from empirical evidence. No speed or distance combination we tested, however, eliminated bird responses. Thus, while buffers reduce response rates, they are likely to be much less effective than vehicle-free zones (i.e. beach closures), and rely on changes to current driver behaviour

The role of external influences in high involvement purchase behaviour

Purpose
The purpose of this paper is to discover the consumer decision-making style clusters within the context of automobile purchases in Australia. It also examines the differences between consumer decision-making styles in terms of the importance given to external influences, such as importance of dealers, importance of friends/family members, number of cars test driven, time spent researching final decision and importance of information sources (e.g. internet, magazines, TV ads, word of mouth, etc.), prior to making their final purchase decision.

Design/methodology/approach
Data were collected from 209 respondents using self-administered questionnaires. Cluster analysis and ANOVA were employed to identify and analyse the differences between consumer decision-making style clusters. Consumer Styles Inventory (CSI; Sproles and Kendall, 1986) was used to measure respondents’ consumer decision-making styles in relation to automobile purchases.

Findings
Three clusters were identified from the analysis, namely “innovative informed”, “rational confused”, and “traditional habitual”. Significant differences were found between the clusters in terms of the average time they spent with each car dealer, the time they spent on researching final decision and the importance of consulting with family members prior to making their final purchase decision.

Practical implications
The paper found that some consumers rely heavily on friends/families and dealers as the most important sources of information. Other sources of information consumers use include television advertisements, newspapers, billboards and magazines. Based on the findings, marketers should focus on providing similar types of information/messages by using these above-mentioned sources when communicating with this type of consumers. Dealers could be trained to spend time explaining product features and benefits in full with these consumers and their friends and family members whom they are likely to bring along before making the final purchase decision.

Originality/value
The findings of this study have extended the knowledge by determining the impact of external influences on consumer decision-making styles using the CSI in context of specific product which is yet to be known in relation to Australian automobile consumers.

Occupational light vehicle use: characterising the at-risk population

Previous occupational light vehicle research has concentrated on employees using cars. The aim of this study was to identify and characterise the total occupational light vehicle-user population and compare it with the privately-used light vehicle population. Occupational light vehicle and private light vehicle populations were identified through use-related 2003 registration categories from New South Wales Roads and Traffic Authority data. Key groups of occupational light vehicle registration variables were comparatively assessed as potential determinants of occupational light vehicleuser risks. These comparisons were expressed as odds ratios with 95% Confidence Intervals. The occupational light vehicle population vehicles (n=646,201) comprised 18% of all light vehicle registrations. A number of statistical differences emerge between the two populations. For instance, 86% of occupational light vehicle registrants were male versus 65% of private registrants, and 56% of the occupational users registered load shape vehicles versus 20% of the private registrants. Occupational light vehicles registered for farming or taxi use were more than six times more likely to belong to sole-traders than organisations. Sole-traders were nearly twice as likely to register light-trucks, and twice as likely to register older vehicles, than organisations. This study demonstrates that the occupational light vehicle user population is larger and more diverse than previously shown with characteristics likely to increase the relative risks of motor vehicle crashes. More occupational light vehicles were load shapes and therefore likely to have poorer crashworthiness ratings than cars. Occupational light vehicles are frequently used by sole-traders for activities with increased OHS risks including farming and taxi use. Further exploration of occupational light vehicle-user crash risks should include all vehicle types, work arrangements and small ‘fleets’.

A cross-disciplinary analysis of rhetorical structure of dissertation abstracts

The teaching rhetorical structure of various academic genres has been recognized as a practical, pedagogical tool in both ESL and EFL academic settings. However, assigning a unitary structure for different fields of study might poses problems for novice writers. In this study, the rhetorical structure of 120 abstracts (ninety ‘masters’ theses and thirty ‘doctoral’ dissertations) from six disciplines were investigated. In this exploratory study, four rhetorical structures were found: IMRC/D, CARS, Mixed, and None (which means the texts lack any rhetorical structure). The conclusion is that nonnative speakers require more than grammatical knowledge at the clause level. They need to be familiarized with the discourse grammar with the functional tokens attached to it in order to be successful in their academic writing.

The demise of Bicycle George : a life of crime

This short piece looks at the life of a murderer, George Blunderfield (alias Arthur Oldring), who was hanged in Melbourne in 1918. Melburnians, or visitors to the city, may have seen his image on the wall at the Old Melbourne Gaol. Blunderfield's life started out normally
enough, and then descended into horrific crime. His story includes bicycle racing, escape from an island prison, and then recruitment for service with the Australian Imperial Forces in wartime Victoria. In the last years of his life, Blunderfield wreaked havoc from the western to the eastern coasts of Australia. This in turn had a dramatic effect on his immediate family, which is also detailed here. This story draws on the archives at PROV as well as on State Records Office of Western Australia material, with help from Ms Jean
Bellamy, a distant relative of George Blunderfield.

A four week randomised control trial of adjunctive medroxyprogesterone and tamoxifen in women with mania

Emerging research has suggested that hormone treatments such as selective oestrogen receptor modulators (SERMs) or progestins may be useful in the treatment of mania. The current pilot study compared the use of the SERM tamoxifen and the progestin medroxyprogesterone acetate (MPA), as an adjunct to mood stabiliser medications, for the treatment of mania symptoms in 51 women in a 28-day double blind, placebo controlled study. The primary outcome was the change between baseline and day 28 mania scores as measured by the Clinician Administered Rating Scale for Mania (CARS-M). Adjunctive MPA treatment provided greater and more rapid improvement in mania symptoms compared with adjunctive placebo and tamoxifen treatment. Adjunctive therapy with MPA may be a potentially useful new treatment for persistent mania, leading to a greater and more rapid resolution of symptoms compared with mood stabiliser treatment alone.

Gambling participation and problem gambling severity in a stratified random survey : Findings from the second social and economic impact study of gambling in Tasmania

Demographic characteristics associated with gambling participation and problem gambling severity were investigated in a stratified random survey in Tasmania, Australia. Computer-assisted telephone interviews were conducted in March 2011 resulting in a representative sample of 4,303 Tasmanian residents aged 18 years or older. Overall, 64.8 % of Tasmanian adults reported participating in some form of gambling in the previous 12 months. The most common forms of gambling were lotteries (46.5 %), keno (24.3 %), instant scratch tickets (24.3 %), and electronic gaming machines (20.5 %). Gambling severity rates were estimated at non-gambling (34.8 %), non-problem gambling (57.4 %), low risk gambling (5.3 %), moderate risk (1.8 %), and problem gambling (.7 %). Compared to Tasmanian gamblers as a whole significantly higher annual participation rates were reported by couples with no children, those in full time paid employment, and people who did not complete secondary school. Compared to Tasmanian gamblers as a whole significantly higher gambling frequencies were reported by males, people aged 65 or older, and people who were on pensions or were unable to work. Compared to Tasmanian gamblers as a whole significantly higher gambling expenditure was reported by males. The highest average expenditure was for horse and greyhound racing ($AUD 1,556), double the next highest gambling activity electronic gaming machines ($AUD 767). Compared to Tasmanian gamblers as a whole problem gamblers were significantly younger, in paid employment, reported lower incomes, and were born in Australia. Although gambling participation rates appear to be falling, problem gambling severity rates remain stable. These changes appear to reflect a maturing gambling market and the need for population specific harm minimisation strategies. © 2014 Springer Science+Business Media New York.

Risky driving in young adults : A review of the literature

Young drivers aged between 16 and 25 are consistently over-represented in fatal crash statistics and are more likely than older drivers to be involved in a range of intentional risky driving behaviours, such as drink driving, speeding, drag racing, and tailgating. This paper reports the fndings of a systematic search of published peer-reviewed literature, identifying the association between age and the characteristics of risky drivers, as well as interventions that have been developed to improve their safety. The results suggest that it is young males who are predominantly involved in unsafe driving and that these drivers are generally high in reward sensitivity, have antisocial peers, and believe that they are not dangerous drivers. Further to this, deterrence-based interventions have shown limited efectiveness for the specifc category of 'hoon' drivers, suggesting the need for targeted interventions across a multitude of domains. Efective intervention requires an understanding of the antecedents of dangerous driving behaviour, and it is concluded that interventions might be most efective when targeted towards these identifed criminogenic needs.

Efficient and accurate set-based registration of time-separated aerial images

This paper addresses the task of time-separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that a land area can undergo, such as that caused by the change under illumination conditions, seasonal variations, or the occlusion by non-persistent objects (people, cars). Our work introduces several major novelties (i) unlike previous work on aerial image registration, we approach the problem using a set-based paradigm; (ii) we show how image space local, pair-wise constraints can be used to enforce a globally good registration using a constraints graph structure; (iii) we show how a simple holistic representation derived from raw aerial images can be used as a basic building block of the constraints graph in a manner which achieves both high registration accuracy and speed; (iv) lastly, we introduce a new and, to the best of our knowledge, the only data corpus suitable for the evaluation of set-based aerial image registration algorithms. Using this data set, we demonstrate (i) that the proposed method outperforms the state-of-the-art for pair-wise registration already, achieving greater accuracy and reliability, while at the same time reducing the computational cost of the task and (ii) that the increase in the number of available images in a set consistently reduces the average registration error, with a major difference already for a single additional image.

We are in danger

Genre films are constructed out of narrative patterns and plot points that involve or are predicted on crisis, on danger. This is the logic of much if not all mainstream genre cinema: drama has to take place for there to be a story to be told, and for pleasure and identification to be arrested and enthused. Forms of threatening disequilibrium can be personal, domestic, familial, local, external, supernatural and murderous; a way of life can be threatened as well as life itself. There are ideological dimensions at play; the crisis threatens to destabilize patriarchy, heterosexuality, social norms and expectations. Feelings and modes of affect are set in dangerous motion as the crisis unfolds. Trouble may emerge from a wayward or transgressive family member, or it may arrive in town on horses, stagecoaches, trains, cars, spaceships, and on the wind and in the water. The main (and minor) characters in the film are at the center of this storm, and that places viewers at the epicenter of the danger, also. The genre film places us all in danger. The genre film, then, has phenomenal, phenomenological and bio-political potential as a site of cognitive, ideological and carnal endangerment.

Predictive data mining for converged internet of things: a mobile health perspective

Mobile Health (mHealth) is now emerging with Internet of Things (IoT), Cloud and big data along with the prevalence of smart wearable devices and sensors. There is also the emergence of smart environments such as smart homes, cars, highways, cities, factories and grids. Presently, it is difficult to quickly forecast or prevent urgent health situations in real-time as health data are analyzed offline by a physician. Sensors are expected to be overloaded by demands of providing health data from IoT networks and smart environments. This paper proposes to resolve the problems by introducing an inference system so that life-threatening situations can be prevented in advance based on a short and long term health status prediction. This prediction is inferred from personal health information that is built by big data in Cloud. The inference system can also resolve the problem of data overload in sensor nodes by reducing data volume and frequency to reduce workload in sensor nodes. This paper presents a novel idea of tracking down and predicting a personal health status as well as intelligent functionality of inference in sensor nodes to interface IoT networks

Groupwise registration of aerial images

This paper addresses the task of time separated aerial image registration. The ability to solve this problem accurately and reliably is important for a variety of subsequent image understanding applications. The principal challenge lies in the extent and nature of transient appearance variation that a land area can undergo, such as that caused by the change in illumination conditions, seasonal variations, or the occlusion by non-persistent objects (people, cars). Our work introduces several novelties: (i) unlike all previous work on aerial image registration, we approach the problem using a set-based paradigm; (ii) we show how local, pairwise constraints can be used to enforce a globally good registration using a constraints graph structure; (iii) we show how a simple holistic representation derived from raw aerial images can be used as a basic building block of the constraints graph in a manner which achieves both high registration accuracy and speed. We demonstrate: (i) that the proposed method outperforms the state-of-the-art for pair-wise registration already, achieving greater accuracy and reliability, while at the same time reducing the computational cost of the task; and (ii) that the increase in the number of available images in a set consistently reduces the average registration error.

Data mining analysis of an urban tunnel pressure drop based on CFD data

An accurate estimation of pressure drop due to vehicles inside an urban tunnel plays a pivotal role in tunnel ventilation issue. The main aim of the present study is to utilize computational intelligence technique for predicting pressure drop due to cars in traffic congestion in urban tunnels. A supervised feed forward back propagation neural network is utilized to estimate this pressure drop. The performance of the proposed network structure is examined on the dataset achieved from Computational Fluid Dynamic (CFD) simulation. The input data includes 2 variables, tunnel velocity and tunnel length, which are to be imported to the corresponding algorithm in order to predict presure drop. 10-fold Cross validation technique is utilized for three data mining methods, namely: multi-layer perceptron algorithm, support vector machine regression, and linear regression. A comparison is to be made to show the most accurate results. Simulation results illustrate that the Multi-layer perceptron algorithm is able to accurately estimate the pressure drop.