88 resultados para Two-year bioassay


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This paper describes a creative industries research project that has applied quantitative approaches commonly used in scientific research to the study of international cinema performance. Using film screening data collected over a two year period, this paper discusses analysis of a global dataset using Appadurai's "-scapes" framework. We have identified several of these "-scapes" that help us investigate film industry behaviour. Concentrating on Appadurai's "Technoscape" an investigation into the geographic spread and distribution of a new and emerging technology, High Frame Rate cinema, has been made. HFR films have screened around the world to mixed reviews. Geographic distribution of HFR technologies and change in this distribution has also been uneven.

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BACKGROUND Student evaluation of teaching (SET) has a long history, has grown in prevalence and importance over a period of decades, and is now common-place in many universities internationally. SET data are collected for a range of purposes, including: as diagnostic feedback to improve the quality of teaching and learning; as an input to staff performance management processes and personnel decisions such as promotion for staff; to provide information to prospective students in their selection of courses and programs; and as a source of data for research on teaching. Rovai et al. (2006) report that while SET research provides mixed results, there is evidence that, for course-related factors, smaller classes are rated more favourably than large classes, upper-year-level classes are rated more favourably than lower-year classes, and that there are rating differences between discipline areas. While additional course-related factors are also noted, other reviews of the literature on SET also identify these three factors as commonly reported systematic influences on SET ratings. The School of Engineering at Deakin University in Australia offers undergraduate and postgraduate engineering programs, and these programs are delivered in both on-campus and off-campus modes.PURPOSEThe paper presents a quantitative investigation of SET data for the School of Engineering at Deakin University to identify whether the commonly reported systematic influences on SET ratings of class size and year level are also observed here. The influence of online mode of offer is also explored.DESIGN/METHOD Deakin University’s Student Evaluation of Teaching and Units (SETU) questionnaire is administered to students enrolled in every unit of study every time that unit is offered, unless it is specially exempted. Following data collation, summary results are reported via a public website. The publicly available SETU data for all School of Engineering units of study were collected for a two year period. The collected data were subjected to analysis of variance (ANOVA) analysis to identify any significant systematic influences on mean student SETU ratings.RESULTS SETU data from 100 separate units of study over the two year period were collected, representing 3375 sets of SETU ratings, and covering unit enrolment sizes from 12 to 462 students. Although this was a modest sized investigation, significantly higher mean ratings for some SETU items were observed for units with small enrolments, for postgraduate level units compared to undergraduate level units, and for units offered in conventional mode compared to online mode of offer. The presence of the commonly observed systematic influences on SET ratings was confirmed.CONCLUSIONS While the use of SET data may have originally been primarily for formative purposes to improve teaching and learning, they are also increasingly used for summative judgements of teaching quality and teaching staff performance that have implications for personnel decision making. There may be an acceptance of the need for SET, however there remains no universal consensus as to what constitutes quality in university teaching and learning, and the increasing use of SET for high-stakes decision making puts pressure on institutions to ensure that their SET practices are sound, equitable and defensible.

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Deakin University and the Department of Primary Industries were commissioned by ParksVictoria (PV) to create two updated habitat maps for Yaringa and French Island MarineNational Parks. The team obtained a ground-truth data set using in situ video and still photographs. This dataset was used to develop and assess predictive models of benthic marine habitat distributions incorporating data from World-View-2 imagery atmospherically corrected by CSIRO and LiDAR (Light Detection and Ranging) bathymetry. In addition, the team applied an unsupervised classification approach to an aerial photograph to assess the differences between the two remote sensors. This report describes the results of the mapping as well as the methodology used to produce these habitat maps.This study has provided mapping of intertidal and subtidal habitats of Yaringa and FrenchIsland MNPs at a 2 m resolution with fair to good accuracies (Kappa 0.40-0.75). These were combined with mangrove and saltmarsh habitats recently mapped by Boon et al. (2011) to provide compete-coverage habitat maps of Yaringa and French Island MNPs.The mapping showed that Yaringa MNP was dominated by mangroves, wet saltmarsh and dense Zostereaceae, covering 33%, 29% and 19%, respectively. Similarly, intertidalvegetation and subtidal vegetation (dominated by Zosteraceae) covered 26% and 25% ofFrench Island MNP. However, as a result of turbidity and missing satellite imagery 27% ofFrench Island MNP remains unmapped.The coupling of WV-2 and LiDAR reduced potential artefacts (e.g. sun glint causing whiteand black pixels known as the “salt and pepper effect”). The satellite classification appeared to provide better results than the aerial photography classification. However, since there is a two-year difference between the capture of the aerial photography and the collection of the ground-truth data this comparison is potentially temporally confounded. It must also be noted that there are differences in costs of the data,the spatial resolution between the two datasets (i.e. WV-2 = 2 m and the Aerial = 0.5 m) and the amount spectral information contained in the data (i.e. WV-2 = 8 bands and the aerial = 4 bands), which may ultimately determine its utility for a particular project.The spatial assessment using FRAGSTATs of habitat patches within Yaringa MNP provides a viable and cost effect way to assess habitat condition (i.e. shape, size and arrangement).This spatial assessment determined that dense Zosteraceae and NVSG habitat classeswere generally larger in patch size and continuity than the medium/sparse Zosteraceaehabitat. The application spatial techniques to time-series mapping may provide a way toremotely monitor the change in the spatial characteristics of marine habitats.This work was successful in providing new baseline habitat maps using a repeatable method meaning that any future changes in intertidal and shallow water marine habitats may be assessed in a consistent way with quantitative error assessments. In wider use, these maps should also allow improved conservation planning, fisheries and catchment management, and contribute toward infrastructure planning to limit impacts on Western Port.

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Aim: Climate change is expected to increase the frequency and intensity of extreme climatic events, such as severe droughts and intense rainfall periods. We explored how the avifauna of a highly modified region responded to a 13-year drought (the 'Big Dry'), followed by a two-year period of substantially higher than average rainfall (the 'Big Wet'). Location: Temperate woodlands in north central Victoria, Australia. Methods: We used two spatially extensive, long-term survey programmes, each of which was repeated three times: early and late in the Big Dry, and in the Big Wet. We compared species-specific changes in reporting rates between periods in both programmes to explore the resistance (the ability to persist during drought) and resilience (extent of recovery post-drought) of species to climate extremes. Results: There was a substantial decline in the reporting rates of 42-62% (depending on programme) of species between surveys conducted early and late in the Big Dry. In the Big Wet, there was some recovery, with 21-29% of species increasing substantially. However, more than half of species did not recover and 14-27% of species continued to decline in reporting rate compared with early on in the Big Dry. Species' responses were not strongly related to ecological traits. Species resistance to the drought was inversely related to resilience in the Big Wet for 20-35% of the species, while 76-78% of species with low resistance showed an overall decline across the study period. Conclusions: As declines occurred largely irrespective of ecological traits, this suggests a widespread mechanism is responsible. Species that declined the most during the Big Dry did not necessarily show the greatest recoveries. In already much modified regions, climate extremes such as extended drought will induce on-going changes in the biota. © 2014 John Wiley & Sons Ltd.

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The effect of early adolescent alcohol use on antisocial behavior was examined at one- and two-year follow-up in Washington, United States and Victoria, Australia. Each state used the same methods to survey statewide representative samples of students (N = 1,858, 52% female) in 2002 (Grade 7 [G7]), 2003 (Grade 8 [G8]), and 2004 (Grade 9 [G9]). Rates of lifetime, current, frequent, and heavy episodic alcohol use were higher in Victoria than Washington State, whereas rates of five antisocial behaviors were generally comparable across states. After controlling for established risk factors, few associations between alcohol use and antisocial behavior remained, except that G7 current use predicted G8 police arrests and stealing and G9 carrying a weapon and stealing; G7 heavy episodic use predicted G8 and G9 police arrests; and G7 lifetime use predicted G9 carrying a weapon. Hence, risk factors other than alcohol were stronger predictors of antisocial behaviors.

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INTRODUCTION: Child care facilities influence diet and physical activity, making them ideal obesity prevention settings. The purpose of this study is to quantify the health and economic impacts of a multi-component regulatory obesity policy intervention in licensed U.S. child care facilities. METHODS: Two-year costs and BMI changes resulting from changes in beverage, physical activity, and screen time regulations affecting a cohort of up to 6.5 million preschool-aged children attending child care facilities were estimated in 2014 using published data. A Markov cohort model simulated the intervention's impact on changes in the U.S. population from 2015 to 2025, including short-term BMI effects and 10-year healthcare expenditures. Future outcomes were discounted at 3% annually. Probabilistic sensitivity analyses simulated 95% uncertainty intervals (UIs) around outcomes. RESULTS: Regulatory changes would lead children to watch less TV, get more minutes of moderate and vigorous physical activity, and consume fewer sugar-sweetened beverages. Within the 6.5 million eligible population, national implementation could reach 3.69 million children, cost $4.82 million in the first year, and result in 0.0186 fewer BMI units (95% UI=0.00592 kg/m(2), 0.0434 kg/m(2)) per eligible child at a cost of $57.80 per BMI unit avoided. Over 10 years, these effects would result in net healthcare cost savings of $51.6 (95% UI=$14.2, $134) million. The intervention is 94.7% likely to be cost saving by 2025. CONCLUSIONS: Changing child care regulations could have a small but meaningful impact on short-term BMI at low cost. If effects are maintained for 10 years, obesity-related healthcare cost savings are likely.

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BACKGROUND: Physical activity is associated with a host of health benefits, yet many individuals do not perform sufficient physical activity to realise these benefits. One approach to rectifying this situation is through modifying the built environment to make it more conducive to physical activity, such as by building walking tracks or recreational physical activity facilities. Often, however, modifications to the built environment are not connected to efforts aimed at encouraging their use. The purpose of the Monitoring and Observing the Value of Exercise (MOVE) study is to evaluate the effectiveness of two interventions designed to encourage the ongoing use of a new, multi-purpose, community-based physical activity facility. METHODS/DESIGN: A two-year, randomised controlled trial with yearly survey points (baseline, 12 months follow-up, 24 months follow-up) will be conducted among 1,300 physically inactive adult participants aged 18-70 years. Participants will be randomly assigned to one of three groups: control, intervention 1 (attendance incentives), or intervention 2 (attendance incentives and tailored support following a model based on customer relationship management). Primary outcome measures will include facility usage, physical activity participation, mental and physical wellbeing, community connectedness, social capital, friendship, and social support. Secondary outcome measures will include stages of change for facility usage and social cognitive decision-making variables. DISCUSSION: This study will assess whether customer relationship management systems, a tool commonly used in commercial marketing settings, can encourage the ongoing use of a physical activity facility. Findings may also indicate the population segments among which the use of such systems are most effective, as well as their cost-effectiveness. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12615000012572 (registered 9 January 2015).

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In this article, we examine four specific hypotheses relating to commonality in liquidity on the Chinese stock markets. These hypotheses are (1) that market-wide liquidity determines liquidity of individual stocks; (2) that liquidity varies with firm size; (3) that sectoral-based liquidity affects individual stock liquidities differently; and (4) that commonality in liquidity has an asymmetric effect. Drawing on a two-year data set on the Shanghai and Shenzhen stock exchanges comprising over 34 million and 48 million transactions, respectively, we find strong support for commonality in liquidity and a greater influence of industry-wide liquidity in explaining liquidity of individual stocks. Moreover, our results suggest that of the three main sectors - financial, industrial, and resources - the industrial sectors liquidity is most important in explaining individual stock liquidities. Finally, we do not find any evidence of size effects and document an asymmetric effect of market-wide liquidity on liquidity of individual stocks.

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OBJECTIVE: To investigate factors related to hospital admission for infection, specifically examining nutrient intakes of Māori in advanced age (80+ years). METHOD: Face-to-face interviews with 200 Māori (85 men) to obtain demographic, social and health information. Diagnoses were validated against medical records. Detailed nutritional assessment using the 24-hour multiple-pass recall method was collected on two separate days. FOODfiles was used to analyse nutrient intake. National Health Index (NHI) numbers were matched to hospitalisations over a two-year period (12 months prior and 12 months following dietary assessment). Selected International Classification of Disease (ICD) codes were used to identify admissions related to infection. RESULTS: A total of 18% of participants were hospitalised due to infection, most commonly lower respiratory tract infection. Controlling for age, gender, NZ deprivation index, diabetes, CVD and chronic lung disease, a lower energy-adjusted protein intake was independently associated with hospitalisation due to infection: OR (95%CI) 1.14 (1.00-1.29), p=0.046. CONCLUSIONS: Protein intake may have a protective effect on the nutrition-related morbidity of older Māori. Improving dietary protein intake is a simple strategy for dietary modification aiming to decrease the risk of infections that lead to hospitalisation and other morbidities.

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Prediction of patient outcomes is critical to plan resources in an hospital emergency department. We present a method to exploit longitudinal data from Electronic Medical Records (EMR), whilst exploiting multiple patient outcomes. We divide the EMR data into segments where each segment is a task, and all tasks are associated with multiple patient outcomes over a 3, 6 and 12 month period. We propose a model that learns a prediction function for each task-label pair, interacting through two subspaces: the first subspace is used to impose sharing across all tasks for a given label. The second subspace captures the task-specific variations and is shared across all the labels for a given task. The proposed model is formulated as an iterative optimization problems and solved using a scalable and efficient Block co-ordinate descent (BCD) method. We apply the proposed model on two hospital cohorts - Cancer and Acute Myocardial Infarction (AMI) patients collected over a two year period from a large hospital emergency department. We show that the predictive performance of our proposed models is significantly better than those of several state-of-the-art multi-task and multi-label learning methods.

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While research surrounding ePortfolios abounds, few studies make explicit the pedagogical underpinnings of their use. Some suggest that the decision to use new technologies, like ePortfolios, is often made in ignorance of pedagogic evidence. Developed over the course of a two-year national study on the implementation of ePortfolios, this paper argues the importance of a considered approach to ePortfolio use; one that is premised on carefully linking the purpose and context to the type of portfolio. The paper explores the potential of ePortfolios as they align with four specific pillars of learning: learning to know, learning to do, learning to live together and learning to be. It discusses the pedagogic underpinnings – that is, the why – of ePortfolios including: skills and competencies; transformative potential; reflection; identity; active learning; employability; and assessment. The succeeding section provides recommendations for practical ePortfolio use – that is, the how – and an original framework linking ePortfolio purpose to design is proposed.

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The global chytridiomycosis pandemic caused by the pathogen Batrachochytrium dendrobatidis (. Bd) is implicated in the apparent extinction or severe decline of over 200 amphibian species. Many declined species now only persist in isolated remnant populations. In this study we examine how remnant populations coexist with Bd, focusing on disease impact on adult survival and recruitment potential in the chytridiomycosis-threatened frog Litoria verreauxii alpina. Using skeletochronology we found that the adult male population in both 2011 and 2012 was dominated by a two year old age cohort. The lack of recruitment into the three year old cohort in 2012 indicates that annual adult survival is very low. Combined with high Bd prevalence and heavy infection burdens, the pathogen appears to drive almost complete mortality of breeding adults over their first breeding season. However, adults successfully mate prior to large increases in disease prevalence that occurs during the breeding season. Infection prevalence among tadpoles and juveniles is low. Exposure to warm water could provide a mechanism for avoiding or clearing Bd infection. Relatively low Bd prevalence in juveniles prior to dispersal into terrestrial habitat indicates that Bd has minimal impact on early life history stages. As such, recruitment is probably high, allowing populations to persist despite low adult survival. This dependence on reliable annual recruitment may explain why remnant populations persist in permanent ponds rather than ephemeral ponds that were historically occupied. New management strategies that focus on increasing recruitment may provide a way forward for the management of disease-threatened amphibian species.

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Social network perspectives acknowledge the influence of disciplinary cultures on academics’ teaching beliefs and practices with implications for academic developers. The contribution of academic developers in 18 scholarship of teaching and learning (SoTL) projects situated in the sciences are explored by drawing on data from a two-year national project in Australia within a case study research design. The application of a social network lens illuminated the contribution of eight academic developers as weak ties who infused SoTL knowledge within teams. Two heuristic cases of academic developers who also linked across networks are presented. Implications of social network perspective are discussed.

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OBJECTIVES: This study sought to better understand the interrelationships between physical activity and sedentary behaviour and the relationship to risk of cardiovascular disease (CVDR) in adults aged 30-75 years. DESIGN: Cross-sectional. METHODS: Data from two-year waves (2003-2004 and 2005-2006) of the National Health and Nutritional Examination survey were analysed in 2014. Accelerometer-derived time and proportion of time spent sedentary and on moderate-to-vigorous physical activity (MVPA) were calculated to generate four activity profiles based on cut-points to define low and high levels for the respective behaviours. Using health outcome data, CVDR was calculated for each person. Weighted multiple linear regression models were used to evaluate the predicted effects of sedentary and physical activity behaviours on the CVDR score, adjusting for participants' sex, age group, race, annual household income, and accelerometer wear time. RESULTS: The lowest CVDR was observed among Busy Exercisers (high MVPA and low sedentary; 8.5%), whereas Couch Potatoes (low MVPA and high sedentary) had the highest (18.6%). Compared with the reference group (Busy Exercisers), the activity profile associated with the highest CVDR was Couch Potatoes (adjusted mean difference 3.6, SE 0.38, p<0.0001). A smoothed three-dimensional response surface "risk landscape" was developed to better visualise the conjoint associations of MVPA and sedentary behaviour on CVDR for each activity profile. The association between MVPA was greater than that of sedentary behaviour; however, for people with low MVPA, shifts in sedentary behaviour may have the greatest impact on CVDR. CONCLUSIONS: Activity profiles that consider the interrelationships between physical activity and sedentary behaviour differ in terms of CVDR. Future interventions may need to be tailored to specific profiles and be dynamic enough to reflect change in the profile over time.

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BACKGROUND: Deakin University graduated its first cohort from four-year undergraduate civil engineering course/program in 2012. The internal annual Course Experience Survey, which has been running annually since 2012, targets to identify the graduating students’ learning approaches and students’ perceptions of the curriculum and teaching quality. Literature suggests that students’ learning outcomes can be achieved more efficiently when the students’ perceptions of curriculum and teaching quality are closely aligned with their learning approaches. Where the students’ approaches to learning and their perception of curriculum and teaching quality are mismatched, a series of frustrations can result for the students that may not only negatively impact their learning achievement but also their learning experience.
PURPOSE OR GOAL: This study explores the relationships between students’ learning approaches and their perception of curriculum and teaching quality in an undergraduate civil engineering program/course. This will help understand whether the curriculum and teaching quality provided by the university have actually accommodated ‘all’ enrolled students in the similar way.
APPROACH: To uncover these relationships, this study adopts questionnaire survey approach to collect response data over a two year period by asking students about their perception through a series of statements. 5-point Likert-scale questionnaire survey (strongly disagree, disagree, neutral, agree, strongly agree) is developed and responses are collected. The responses are then statistically analysed in order to uncover the relationships between students’ learning approaches and their perception of curriculum and teaching quality provided by the university.
DISCUSSION: Deep learners and surface learners had a statistically different perception of curriculum and teaching quality. These results contradict the assumption that learners will have uniform preferences on the curriculum, teaching quality and the way they deal with the demands of specific learning situations. Anecdotal belief that ‘good course/program curriculum and good teaching approaches are good for all students and vice-versa’ may not be strictly true for contemporary heterogeneous student cohorts.
RECOMMENDATIONS/IMPLICATIONS/CONCLUSION: This finding highlights the challenge for curriculum designer to design appropriate course curriculum and teaching staff to implement efficient teaching strategies that benefit both surface and deep learners, who are usually enrolled together. It may be beneficial to provide diversity and flexibility in the curriculum and teaching approaches (rather than a uniform approach). However, this may demand additional resources and may also be questioned for equity and consistency of education. It is also important to note that due to relatively a small dataset, these results may not be generalised.