100 research outputs found

    Effects of Climate Change on Phenology of Blackbirds and Orioles (Icterids) in Eastern South Dakota

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    Birds are among the first responders to climate change, often having clearly observable phenological responses to less perceptible levels of climate shift. Declines in populations of a number of bird species have been witnessed both in the United States and abroad, with up to a 48% decline in grassland birds of the Central U.S. Understanding changes in bird abundance and distribution is essential because birds supply a wide variety of critical ecosystem services, including pollination and pest control. While the effects of climate change on many bird species’ phenology have been studied intensely, research on the family Icteridae is limited. This study was conducted using spring bird presence and absence data and weather data from Oak Lake Field Station from 1995 to 2012. Linear regression analysis was applied against warmth sum days for the 30 days prior to each spring bird survey. Our analysis demonstrated significant increases in accumulated warmth sum days between 1999 and 2012 (P = 0.01). Icterid species richness also increased with increasing warmth sum days during the month leading up to surveys (P = 0.02). Trends in both habitat (open woodland, marsh, and grassland) and feeding guild (insectivores and omnivores) species richness were also observed with increasing warmth sum days. These findings suggest a shift towards earlier spring arrival of members of the family Icteridae in eastern South Dakota

    Maximising the teaching and assessment opportunities for higher education students - data driven decision making for quality assurance purposes

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    Background: It has become increasingly important to collect institutional data to measure and evaluate teaching and assessment improvements and to evidence quality assurance for both internal policy obligations and external review (TEQSA). However, how this data is presented, reported and targeted to individuals at various levels is of equal importance in ensuring that the correct decisions are made to maximise the student learning experience. Aims: The primary aim of this work was to see how best to provide analytic data on subjects and courses at the University of Wollongong to staff and committees for monitoring and quality assurance improvement. This presentation aims to explain how effective this has been and what lessons others can learn from this experience. Design and methods: The group have targeted the review and presentation of data for quality assurance purposes across the institution, for processes including: 1) Faculty and School assessment committee meetings 2) Subject monitoring reporting 3) Comparative student outcomes 4) Annual and 5 yearly course review processes 5) Annual collaborative partner (third party provider) reviews Specifically, the group has been looking at the types of data captured, data display formats for different audiences, its timing and method of delivery and how data reports can be targeted to particular end users. The group will also review the process for closing the loop and following-up on outcomes, improvement actions and recommendations. Results: The group has so far looked at the data needs of 1) assessment committees, and 2) subject monitoring, for internal quality assurance purposes and in relation to the revised Higher Education Standards Framework. In particular the group has focused on what changes are required to ensure all relevant data is captured, the method of delivery of this data (hard vs soft reports), the timing of the data collection and making it available at key points within the academic cycle. These data contain valuable teaching and assessment information for academics, part-time teaching staff and professional staff on students’ engagement, motivation and progression in courses of study. The premise behind this work is that the higher the quality of the data provided the more informed will be the quality enhancements. Conclusions: Consensus is slowly being obtained for the type and form of data for each of the five processes. This consensus may be challenged as consultation is widened to include more stakeholders. University managers will need to be convinced of the worthiness of this work so as to allocate sufficient resources to make this happen. However, the concepts explained in this presentation have so far been received enthusiastically by all participants and demand for such data reporting is strong. Proceedings of the Australian Conference on Science and Mathematics Education, The University of Queensland, Sept 28th to 30th, 2016, page X, ISBN Number 978-0-9871834-4-6

    Facilitating the participation of children with disabilities in early childhood development centres in Malawi: Developing a sustainable staff training programme

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    This article explores the development of a sustainable training programme supporting the inclusion of children with disabilities in early childhood, education and care (ECEC) centres in Malawi. This programme is based on a review of literature of curriculum, pedagogy and teaching approaches in ECEC in sub-Saharan Africa, alongside a review of national policy documents. The training was designed to enable staff to value the inclusion of children with disabilities in ECEC centres, as well as suggesting practical ways to do so. We set out our response to the gap in training of ECEC staff through the development of a supplementary integrated training programme, which, whilst respectful of the curriculum, policy and practice of Malawi, challenged staff to consider ways of including children with disabilities (CWD) and their families. We suggest this is a pragmatic and sustainable model that could be applied to training in other ECEC settings across the region in sub-Saharan Africa. It concludes with guiding principles for training those working in ECEC with young children with disabilities in low-income countries.`

    Augur: a bioinformatics toolkit for phylogenetic analyses of human pathogens

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    The analysis of human pathogens requires a diverse collection of bioinformatics tools. These tools include standard genomic and phylogenetic software and custom software developed to handle the relatively numerous and short genomes of viruses and bacteria. Researchers increasingly depend on the outputs of these tools to infer transmission dynamics of human diseases and make actionable recommendations to public health officials (Black et al., 2020; Gardy et al., 2015). In order to enable real-time analyses of pathogen evolution, bioinformatics tools must scale rapidly with the number of samples and be flexible enough to adapt to a variety of questions and organisms. To meet these needs, we developed Augur, a bioinformatics toolkit designed for phylogenetic analyses of human pathogens

    The highly surprising behaviour of diphosphine ligands in iron-catalysed Negishi cross-coupling

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    Iron-catalysed cross-coupling is undergoing explosive development, but mechanistic understanding lags far behind synthetic methodology. Here, we find that the activity of iron–diphosphine pre-catalysts in the Negishi coupling of benzyl halides is strongly dependent on the diphosphine, but the ligand does not appear to be coordinated to the iron during turnover. This was determined using time-resolved in operando X-ray absorption fine structure spectroscopy employing a custom-made flow cell and confirmed by 31P NMR spectroscopy. While the diphosphine ligands tested are all able to coordinate to iron(II), in the presence of excess zinc(II)—as in the catalytic reaction—they coordinate predominantly to the zinc. Furthermore, combined synthetic and kinetic investigations implicate the formation of a putative mixed Fe–Zn(dpbz) species before the rate-limiting step of catalysis. These unexpected findings may not only impact the field of iron-catalysed Negishi cross-coupling, but potentially beyond to reactions catalysed by other transition metal/diphosphine complexes

    A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: A multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking

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    AbstractPurposeA study of real-time adaptive radiotherapy systems was performed to test the hypothesis that, across delivery systems and institutions, the dosimetric accuracy is improved with adaptive treatments over non-adaptive radiotherapy in the presence of patient-measured tumor motion.Methods and materialsTen institutions with robotic(2), gimbaled(2), MLC(4) or couch tracking(2) used common materials including CT and structure sets, motion traces and planning protocols to create a lung and a prostate plan. For each motion trace, the plan was delivered twice to a moving dosimeter; with and without real-time adaptation. Each measurement was compared to a static measurement and the percentage of failed points for Îł-tests recorded.ResultsFor all lung traces all measurement sets show improved dose accuracy with a mean 2%/2mm Îł-fail rate of 1.6% with adaptation and 15.2% without adaptation (p<0.001). For all prostate the mean 2%/2mm Îł-fail rate was 1.4% with adaptation and 17.3% without adaptation (p<0.001). The difference between the four systems was small with an average 2%/2mm Îł-fail rate of <3% for all systems with adaptation for lung and prostate.ConclusionsThe investigated systems all accounted for realistic tumor motion accurately and performed to a similar high standard, with real-time adaptation significantly outperforming non-adaptive delivery methods

    Human Reliability Analysis: A Review and Critique

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    Few systems operate completely independent of humans. Thus any study of system risk or reliability requires analysis of the potential for failure arising from human activities in operating and managing this. Human reliability analysis (HRA) grew up in the 1960s with the intention of modelling the likelihood and consequences of human error. Initially, it treated the humans as any other component in the system. They could fail and the consequences of their failure were examined by tracing the effects through a fault tree. Thus to conduct a HRA one had to assess the probability of various operator errors, be they errors of omission or commission. First generation HRA may have used some sophistication in accomplishing this, but in essence that is all they did. Over the years, methods have been developed that recognise human potential to recover from a failure, on the one hand, and the effects of stress and organisational culture on the likelihood of possible errors, on the other. But no method has yet been developed which incorporates all our understanding of individual, team and organisational behaviour into overall assessments of system risk or reliability

    Near or far: the effect of spatial distance and vocabulary knowledge on word learning

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    The current study investigated the role of spatial distance in word learning. Two-year-old children saw three novel objects named while the objects were either in close proximity to each other or spatially separated. Children were then tested on their retention for the name-object associations. Keeping the objects spatially separated from each other during naming was associated with increased retention for children with larger vocabularies. Children with a lower vocabulary size demonstrated better retention if they saw objects in close proximity to each other during naming. This demonstrates that keeping a clear view of objects during naming improves word learning for children who have already learned many words, but keeping objects within close proximal range is better for children at earlier stages of vocabulary acquisition. The effect of distance is therefore not equal across varying vocabulary sizes. The influences of visual crowding, cognitive load, and vocabulary size on word learning are discussed

    Alcohol-related brain damage in humans

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    Chronic excessive alcohol intoxications evoke cumulative damage to tissues and organs. We examined prefrontal cortex (Brodmann’s area (BA) 9) from 20 human alcoholics and 20 age, gender, and postmortem delay matched control subjects. H & E staining and light microscopy of prefrontal cortex tissue revealed a reduction in the levels of cytoskeleton surrounding the nuclei of cortical and subcortical neurons, and a disruption of subcortical neuron patterning in alcoholic subjects. BA 9 tissue homogenisation and one dimensional polyacrylamide gel electrophoresis (PAGE) proteomics of cytosolic proteins identified dramatic reductions in the protein levels of spectrin ÎČ II, and α- and ÎČ-tubulins in alcoholics, and these were validated and quantitated by Western blotting. We detected a significant increase in α-tubulin acetylation in alcoholics, a non-significant increase in isoaspartate protein damage, but a significant increase in protein isoaspartyl methyltransferase protein levels, the enzyme that triggers isoaspartate damage repair in vivo. There was also a significant reduction in proteasome activity in alcoholics. One dimensional PAGE of membrane-enriched fractions detected a reduction in ÎČ-spectrin protein levels, and a significant increase in transmembranous α3 (catalytic) subunit of the Na+,K+-ATPase in alcoholic subjects. However, control subjects retained stable oligomeric forms of α-subunit that were diminished in alcoholics. In alcoholics, significant loss of cytosolic α- and ÎČ-tubulins were also seen in caudate nucleus, hippocampus and cerebellum, but to different levels, indicative of brain regional susceptibility to alcohol-related damage. Collectively, these protein changes provide a molecular basis for some of the neuronal and behavioural abnormalities attributed to alcoholics
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