976 resultados para Black mat impact


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As the first anthology of UQP's indigenous-authored books, Fresh Cuttings represents the very best of fiction and poetry publishing from UQP's Black Australian Writing series. An introduction by the editors and a biography of each author is included.

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Over 800 cities globally now offer bikeshare programs. One of their purported benefits is increased physical activity. Implicit in this claim is that bikeshare replaces sedentary modes of transport, particularly car use. This paper estimates the median changes in physical activity levels as a result of bikeshare in the cities of Melbourne, Brisbane, Washington, D.C., London, and Minneapolis/St. Paul. This study is the first known multi-city evaluation of the active travel impacts of bikeshare programs. To perform the analysis, data on mode substitution (i.e. the modes that bikeshare replaces) were used to determine the extent of shift from sedentary to active transport modes (e.g. when a car trip is replaced by bikeshare). Potentially offsetting these gains, reductions in physical activity when walking trips are replaced by bikeshare was also estimated. Finally a Markov Chain Monte Carlo analysis was conducted to estimate confidence bounds on estimated impacts on active travel given uncertainties in data sources. The results indicate that on average 60% of bikeshare trips replace sedentary modes of transport (from 42% in Minneapolis/St. Paul to 67% in Brisbane). When bikeshare replaces a walking trip, there is a reduction in active travel time because walking a given distance takes longer than cycling. Considering the active travel balance sheet for the cities included in this analysis, bikeshare activity in 2012 has an overall positive impact on active travel time. This impact ranges from an additional 1.4 million minutes of active travel for the Minneapolis/St. Paul bikeshare program, to just over 74 million minutes of active travel for the London program The analytical approach adopted to estimate bikeshare’s impact on active travel may act as the basis for future bikeshare evaluations or feasibility studies.

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This paper presents simulation results for future electricity grids using an agent-based model developed with MODAM (MODular Agent-based Model). MODAM is introduced and its use demonstrated through four simulations based on a scenario that expects a rise of on-site renewable generators and electric vehicles (EV) usage. The simulations were run over many years, for two areas in Townsville, Australia, capturing variability in space of the technology uptake, and for two charging methods for EV, capturing people's behaviours and their impact on the time of the peak load. Impact analyses of these technologies were performed over the areas, down to the distribution transformer level, where greater variability of their contribution to the assets peak load was observed. The MODAM models can be used for different purposes such as impact of renewables on grid sizing, or on greenhouse gas emissions. The insights gained from using MODAM for technology assessment are discussed.

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The study sought to explore the initial impact of the ACT's implementation of roadside oral fluid drug screening program. The results suggest that a number of individuals reported intentions to drug drive in the future. The classical deterrence theory variables of certainty of apprehension, severity and swiftness of sanctions were not predictive of intentions to drug drive in the future. In contrast, having avoided apprehension and having known of others that have avoided apprehension were predictive of intentions to drug drive in the future. Increasing perceptions of the certainty of apprehension, increased testing frequency, and increased awareness of the oral fluid drug screening program could potentially lead to reductions of drug driving and result in safer road environment for all ACT community members.

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The development of methods for real-time crash prediction as a function of current or recent traffic and roadway conditions is gaining increasing attention in the literature. Numerous studies have modeled the relationships between traffic characteristics and crash occurrence, and significant progress has been made. Given the accumulated evidence on this topic and the lack of an articulate summary of research status, challenges, and opportunities, there is an urgent need to scientifically review these studies and to synthesize the existing state-of-the-art knowledge. This paper addresses this need by undertaking a systematic literature review to identify current knowledge, challenges, and opportunities, and then conducts a meta-analysis of existing studies to provide a summary impact of traffic characteristics on crash occurrence. Sensitivity analyses were conducted to assess quality, publication bias, and outlier bias of the various studies; and the time intervals used to measure traffic characteristics were also considered. As a result of this comprehensive and systematic review, issues in study designs, traffic and crash data, and model development and validation are discussed. Outcomes of this study are intended to provide researchers focused on real-time crash prediction with greater insight into the modeling of this important but extremely challenging safety issue.

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A research protocol for our prospective study of research funding. How much research funding improves research productivity is a question that has relevance for all funding agencies and governments around the world. Previous studies have used observational data that compares productivity between winners of different amounts of funding, but researchers who win lots of funding are usually very different from those who win little or no funding. This difference creates potentially serious confounding which biases any estimate of the effect of funding based on observational data that simply compares research output for those who did and did not win funding. This means we do not currently know the return on investment for our research dollars, of which billions are invested around the world every year. By using a study design that incorporates randomisation this will be the world’s first unbiased study of the impact of researcher funding.

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As part of Australian licensing requirements professional valuers are required to maintain a level of professional indemnity insurance. A core feature of any insurance cover is that the insured has an obligation to notify their insurer of both actual and potential claims. An actual claim clearly will impact upon future policies and premiums paid. Notification of a potential claim, whether or not the notification crystallises into an actual claim, also can have an impact upon the insured’s claims history and premiums. The Global Financial Crisis continues to impact upon business practices and land transactions both directly and indirectly. The Australian valuation profession is not exempt from this impact. One example of this ongoing impact is reflected in a worrying practice engaged in by some financial institutions in respect of their loan portfolios. That is, even though the mortgagor is not in default, some institutions are pre-emptively issuing notices of demand regarding potential losses. Further, in some instances such demands are based only on mass appraisal valuations without specific consideration being given to the individual lot in question. The author examines the impact of this practice for the valuation profession and seeks to provide guidance for the appropriate handling of such demands.

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Modern commercial agricultural practices in Asia during the last three to four decades involving chemicals (fertilisers and pesticides) have been associated with large increases in food production never witnessed before, especially under the Green Revolution technology in South Asia. This also involves large-scale increases in commercial vegetable crops. However, the high reliance on chemical inputs to bring about these increases in food production is not without problems. A visible, parallel correlation between higher productivity, high artificial input use and environmental degradation and human ill-health is evident in many countries where commercial agriculture is widespread. In this chapter, we focus on the impact of chemical inputs, in particular the impact of pesticides on the environment and on human health in South Asia with special reference to Sri Lanka...

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Black Nectar is a site-specific light & sound installation, that asks audiences to take slow, sensory walks through the inky-blackness of Bundanon’s forests at night, charting personal courses through seasons of change, animality and imagination – far beyond the blinding lights and howling tones of our contemporary existence. Gathering during a time Europeans once named as ‘spring’ audiences will leave the comfy lights and sounds of Bundanon’s homestead area, to take powerful, personal, silent journeys into the long darks of night, heading ultimately towards the place of ‘Black Nectar’. This most unusual of walks begins with impending darkness, and yet ultimately ends with the faintest, sweetest of glimmers – an en-lightening, re-sounding of our seasonal futures?

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Management accounting practices are expected to adapt and evolve with changing information requirements. The purpose of this study is to determine the factors that enable management accounting adaptability and effectiveness. This study identifies three factors that drive management accounting adaptability through their support of sense-making and responding. Specifically, it is examined how top management team knowledge, team-based structures, and information system flexibility affect management accounting adaptability. The hypotheses are tested using data collected from an online survey of Australian and New Zealand companies. The results support the proposed relationships. Also a positive association between management accounting adaptability and management accounting effectiveness was found. This empirical study contributes to the literature on management accounting change by determining a number of drivers that improve upon the agility of organizational management accounting practices.

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The effect of 18 months of training on the ovarian hormone concentrations and bone mineral density (BMD) accrual was assessed longitudinally in 14 adolescent rowers and 10 matched controls, aged 14–15 years. Ovarian hormone levels were assessed by urinary estrone glucuronide (E1G) and pregnanediol glucuronide (PdG) excretion rates, classifying the menstrual cycles as ovulatory or anovulatory. Total body (TB), total proximal femur (PF), femoral neck (FN) and lumbar spine (LS) (L2–4) bone mass were measured at baseline and 18 months using dual-energy X-ray densitometry. Results were expressed as bone mineral content (BMC), BMD and bone mineral apparent density (BMAD). Five rowers had anovulatory menstrual cycles compared with zero prevalence for the control subjects. Baseline TB BMD was significantly higher in the ovulatory rowers, with PF BMD, FN BMD and LS BMD similar for all groups. At completion, the LS bone accrual of the ovulatory rowers was significantly greater (BMC 8.1%, BMD 6.2%, BMAD 6.2%) than that of the anovulatory rowers (BMC 1.1%, BMD 3.9%, BMAD 1.6%) and ovulatory controls (BMC 0.5%, BMD 1.1%, BMAD 1.1%). No difference in TB, PF or FN bone accrual was observed among groups. This study demonstrated an osteogenic response to mechanical loading, with the rowers accruing greater bone mass than the controls at the lumbar spine. However, the exercise-induced osteogenic benefits were less when rowing training was associated with low estrogen and progesterone metabolite excretion.

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This thesis examined the long-term impact of the community arts education project Yonder, a collaboration between Education Queensland and Queensland Performing Arts Centre. The findings from the data reveal that the project was still having impact twelve months after its completion and that in some instances the project served as a 'circuit-breaker', especially for special needs students and struggling students. The intervention of a rich arts project proved to be an opportunity for these students to learn in a different way and to perceive themselves in a new and reinvented light. This confidence was found to transfer into other aspects of their learning.

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The use of expert knowledge to quantify a Bayesian Network (BN) is necessary when data is not available. This however raises questions regarding how opinions from multiple experts can be used in a BN. Linear pooling is a popular method for combining probability assessments from multiple experts. In particular, Prior Linear Pooling (PrLP), which pools opinions then places them into the BN is a common method. This paper firstly proposes an alternative pooling method, Posterior Linear Pooling (PoLP). This method constructs a BN for each expert, then pools the resulting probabilities at the nodes of interest. Secondly, it investigates the advantages and disadvantages of using these pooling methods to combine the opinions of multiple experts. Finally, the methods are applied to an existing BN, the Wayfinding Bayesian Network Model, to investigate the behaviour of different groups of people and how these different methods may be able to capture such differences. The paper focusses on 6 nodes Human Factors, Environmental Factors, Wayfinding, Communication, Visual Elements of Communication and Navigation Pathway, and three subgroups Gender (female, male),Travel Experience (experienced, inexperienced), and Travel Purpose (business, personal) and finds that different behaviors can indeed be captured by the different methods.

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Debates over the legitimacy and legality of prostitution have characterised human trafficking discourse for the last two decades. This article identifies the extent to which competing perspectives concerning the legitimacy of prostitution have influenced anti-trafficking policy in Australia and the United States, and argues that each nation-state’s approach to domestic sex work has influenced trafficking legislation. The legal status of prostitution in each country, and feminist influences on prostitution law reform, have had a significant impact on the nature of the legislation adopted.

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This paper presents the unique black markets of asset pooling and leasing services, which exposes the nature and extent of industry-specific threats. We explore how firms providing such services together with their network structures that constitute the foundations of asset pooling and leasing respond to the threat of black markets. We encapsulate detecting and encountering the threat of black markets through the theoretical lens of agility, which encompasses the elements of sensing and responding (Overby et al. 2006; Roberts and Grover 2012). This novel concept of responding to threats using the agility lens has not been adequately addressed by past studies on enterprise agility. Through a case study of a global asset pooling and leasing company, we reveal the criticality of network structures, the impracticality of IT and inadequate tracking mechanisms that challenge firms in minimizing such threats.