Listen, live and learn: A review of the application process, aiming to enhance diversity within the Listen, Live and Learn senior student housing initiative at Stellenbosch University

The Listen, Live and Learn (LLL) initiative at Stellenbosch University (SU) is a senior student housing model with the aim of providing an experiential opportunity for students to make contact with ‘the other’. It is posited on the social contact theory assumption that if people of different genders, races, ethnicities, and/or religions make contact and interact with one another on an equal level, then less stereotyping by them will occur. The initiative therefore aims to enhance interaction between diverse students and to enable social integration. However, as diversity is a core element of LLL, an application and selection process had to be developed in order to provide a holistic, transparent, unbiased and scaleable tool. The present results suggest that the application and selection process, specifically developed for the enhancement of diversity within the LLL initiative, maintained the distribution of race and gender, as constructs of diversity throughout the process. The conclusion can be drawn that the process is holistic, transparent, unbiased and scaleable while providing a practical example of a standardised alternative selection process for programmes seeking to increase diversity.Keywords: Diversity, student housing, application and selection process, social contact theory, race, gende

Listen, live and learn: A review of the application process, aiming to enhance diversity within the Listen, Live and Learn senior student housing initiative, at Stellenbosch University

The Listen, Live and Learn (LLL) initiative at Stellenbosch University (SU) is a senior student housing model with the aim of providing an experiential opportunity for students to make contact with ‘the other’. It is posited on the social contact theory assumption that if people of different genders, races, ethnicities, and/or religion make contact and interact with one another on an equal level, then less stereotyping by them will occur.The initiative therefore aims to enhance interaction between diverse students and to enable social integration. However, as diversity is a core element of LLL, an application and selection process had to be developed in order to provide a holistic, transparent, unbiased and scaleable tool. The present results suggest that the application and selection process, specifically developed for the enhancement of diversity within the LLL initiative, maintained the distribution of race and gender, as constructs of diversity throughout the process. The conclusion can be drawn that the process is holistic, transparent, unbiased and scaleable while providing a practical example of a standardised alternative selection process for programmes seeking to increase diversity

The Accessibility Quotient: A New Measure of Open Access

INTRODUCTION The Accessibility Quotient (AQ), a new measure for assisting authors and librarians in assessing and characterizing the degree of accessibility for a group of papers, is proposed and described. The AQ offers a concise measure that assesses the accessibility of peer-reviewed research produced by an individual or group, by incorporating data on open availability to readers worldwide, the degree of financial barrier to access, and journal quality. The paper reports on the context for developing this measure, how the AQ is calculated, how it can be used in faculty outreach, and why it is a useful lens to use in assessing progress towards more open access to research. METHODS Journal articles published in 2009 and 2010 by faculty members from one department in each of MIT’s five schools were examined. The AQ was calculated using economist Ted Bergstrom’s Relative Price Index to assess affordability and quality, and data from SHERPA/RoMEO to assess the right to share the peer-reviewed version of an article. RESULTS The results show that 2009 and 2010 publications by the Media Lab and Physics have the potential to be more open than those of Sloan (Management), Mechanical Engineering, and Linguistics & Philosophy. DISCUSSION Appropriate interpretation and applications of the AQ are discussed and some limitations of the measure are examined, with suggestions for future studies which may improve the accuracy and relevance of the AQ. CONCLUSION The AQ offers a concise assessment of accessibility for authors, departments, disciplines, or universities who wish to characterize or understand the degree of access to their research output, capturing additional dimensions of accessibility that matter to faculty

Mungbeans: response to applied nitrogen

Mungbeans are becoming an increasingly important component of northern grains region farming systems. Currently, most growers inoculate crops with commercial rhizobia to promote nodulation and nitrogen (N) fixation, however, poor nodulation commonly results in N deficiency and significant yield reductions. To counteract these issues a proportion of the industry apply N to maximise yield. In response, a series of eight trials were implemented to quantify the response of mungbeans under different soil N concentrations and the impact this had on N fixation, from Emerald in Queensland to Narrabri in New South Wales. There was a strong indication that mungbeans will not respond to applied nitrogen fertiliser under a wide range of environmental conditions except for low starting mineral nitrogen and high yielding conditions under irrigation. This lack of response was due to rapid mineralisation and the plants ability to fix atmospheric N if well-nodulated. All treatments utilised mineral N (starting soil N + applied N), including the 0 kg N/ha treatments which utilised from ~50 to 75 kg N/ha except for one site. The percentage of N fixation decreased as the N rate increased at both the Emerald and Hopeland summer sites with the higher N rates not fixing any N at all, supporting the concept that mungbeans will not fix N if planted in a soil with high levels of available N

Isoprene and monoterpene emissions from alder, aspen and spruce short rotation forest plantations in the UK

An expansion of bioenergy has been proposed to help reduce fossil-fuel greenhouse gas emissions, and short-rotation forestry (SRF) can contribute to this expansion. However, SRF plantations could also be sources of biogenic volatile organic compound (BVOC) emissions, which can impact atmospheric air quality. In this study, emissions of isoprene and 11 monoterpenes from the branches and forest floor of hybrid aspen, Italian alder and Sitka spruce stands in an SRF field trial in central Scotland were measured during two years (2018–2019) and used to derive emission potentials for different seasons. Sitka spruce was included as a comparison as it is the most extensive plantation species in the UK. Winter and spring emissions of isoprene and monoterpenes were small compared to those in summer. Sitka spruce had a standardised mean emission rate of 15 µgCg−1h−1 for isoprene in the dry and warm summer of 2018 – more than double the emissions in 2019. However, standardised mean isoprene emissions from hybrid aspen were similar across both years, approximately 23 µgCg−1h−1, and standardised mean isoprene emissions from Italian alder were very low. Mean standardised total monoterpene emissions for these species followed a similar pattern of higher standardised emissions in the warmer year: Sitka spruce emitting 4.5 and 2.3 µgCg−1h−1 for 2018 and 2019, aspen emitting 0.3 and 0.09 µgCg−1h−1, and Italian alder emitting 1.5 and 0.2 µgCg−1h−1, respectively. In contrast to these foliage emissions, the forest floor was only a small source of monoterpenes, typically 1 or 2 orders of magnitude lower than foliage emissions on a unit of ground area basis. Estimates of total annual emissions from each plantation type per hectare were derived using the MEGAN 2.1 model. The modelled total BVOC (isoprene and monoterpenes) emissions of SRF hybrid aspen plantations were approximately half those of Sitka spruce for plantations of the same age. Italian alder SRF emissions were 20 times smaller than from Sitka spruce. The expansion of bioenergy plantations to 0.7 Mha has been suggested for the UK to help achieve net-zero greenhouse gas emissions by 2050. The model estimates show that, with such an expansion, total UK BVOC emissions would increase between <1 % and 35 %, depending on the tree species planted. Whereas increases might be small on a national scale, regional increases might have a larger impact on local air quality

Modeling bivariate change in individual differences: prospective associations between personality and life satisfaction

A number of structural equation models have been developed to examine change in 1 variable or the longitudinal association between 2 variables. The most common of these are the latent growth model, the autoregressive cross-lagged model, the autoregressive latent trajectory model, and the latent change score model. The authors first overview each of these models through evaluating their different assumptions surrounding the nature of change and how these assumptions may result in different data interpretations. They then, to elucidate these issues in an empirical example, examine the longitudinal association between personality traits and life satisfaction. In a representative Dutch sample (N = 8,320), with participants providing data on both personality and life satisfaction measures every 2 years over an 8-year period, the authors reproduce findings from previous research. However, some of the structural equation models overviewed have not previously been applied to the personality-life satisfaction relation. The extended empirical examination suggests intraindividual changes in life satisfaction predict subsequent intraindividual changes in personality traits. The availability of data sets with 3 or more assessment waves allows the application of more advanced structural equation models such as the autoregressive latent trajectory or the extended latent change score model, which accounts for the complex dynamic nature of change processes and allows stronger inferences on the nature of the association between variables. However, the choice of model should be determined by theories of change processes in the variables being studied

Multiple metabolomics of uropathogenic E. coli reveal different information content in terms of metabolic potential compared to virulence factors.

No single analytical method can cover the whole metabolome and the choice of which platform to use may inadvertently introduce chemical selectivity. In order to investigate this we analysed a collection of uropathogenic Escherichia coli. The selected strains had previously undergone extensive characterisation using classical microbiological methods for a variety of metabolic tests and virulence factors. These bacteria were analysed using Fourier transform infrared (FT-IR) spectroscopy; gas chromatography mass spectrometry (GC-MS) after derivatisation of polar non-volatile analytes; as well as reversed-phase liquid chromatography mass spectrometry in both positive (LC-MS(+ve)) and negative (LC-MS(-ve)) electrospray ionisation modes. A comparison of the discriminatory ability of these four methods with the metabolic test and virulence factors was made using Procrustes transformations to ascertain which methods produce congruent results. We found that FT-IR and LC-MS(-ve), but not LC-MS(+ve), were comparable with each other and gave highly similar clustering compared with the virulence factors tests. By contrast, FT-IR and LC-MS(-ve) were not comparable to the metabolic tests, and we found that the GC-MS profiles were significantly more congruent with the metabolic tests than the virulence determinants. We conclude that metabolomics investigations may be biased to the analytical platform that is used and reflects the chemistry employed by the methods. We therefore consider that multiple platforms should be employed where possible and that the analyst should consider that there is a danger of false correlations between the analytical data and the biological characteristics of interest if the full metabolome has not been measured

A Long Term Results of External Beam Radiation Therapy in Hemophilic Arthropathy of the Ankle in Children

Bleeding into joint space is critical to develop hemophilic arthropathy. To reduce the frequency of bleeding in the ankle joint of children with hemophilic arthropathy, low dose external beam irradiation was performed for 37 patients. Among them, 35 patients followed-up for longer than 1 yr (median 87 months) were enrolled for analysis. The average number of bleedings per month was 3.6 during one year prior to radiation therapy. After radiation therapy, it was decreased to 2.1 during the first year, after then it was maintained in the range of 1.0 to 1.5 until the tenth year. The bleeding frequency was reduced to 42% at the first year and it was maintained in the range of 58% to 73% from the second to the tenth year. Especially the patients who had 3 or more bleedings per month, and who had MRI score more than 3 showed significant decreases. During the follow-up period, growth disturbances and secondary malignancies were not found. External beam radiotherapy can be considered for the hemophilic patients with surgical or isotope therapies are not amenable

Improved SOT (Hinode mission) high resolution solar imaging observations

We consider the best today available observations of the Sun free of turbulent Earth atmospheric effects, taken with the Solar Optical Telescope (SOT) onboard the Hinode spacecraft. Both the instrumental smearing and the observed stray light are analyzed in order to improve the resolution. The Point Spread Function (PSF) corresponding to the blue continuum Broadband Filter Imager (BFI) near 450 nm is deduced by analyzing i/ the limb of the Sun and ii/ images taken during the transit of the planet Venus in 2012. A combination of Gaussian and Lorentzian functions is selected to construct a PSF in order to remove both smearing due to the instrumental diffraction effects (PSF core) and the large-angle stray light due to the spiders and central obscuration (wings of the PSF) that are responsible for the parasitic stray light. A Max-likelihood deconvolution procedure based on an optimum number of iterations is discussed. It is applied to several solar field images, including the granulation near the limb. The normal non-magnetic granulation is compared to the abnormal granulation which we call magnetic. A new feature appearing for the first time at the extreme- limb of the disk (the last 100 km) is discussed in the context of the definition of the solar edge and of the solar diameter. A single sunspot is considered in order to illustrate how effectively the restoration works on the sunspot core. A set of 125 consecutive deconvolved images is assembled in a 45 min long movie illustrating the complexity of the dynamical behavior inside and around the sunspot.Comment: 15 pages, 22 figures, 1 movi

A systematic approach towards the identification and protection of vulnerable marine ecosystems

Author Posting. © The Author(s), 2013. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Marine Policy 49 (2014):146-154, doi:10.1016/j.marpol.2013.11.017.The United Nations General Assembly in 2006 and 2009 adopted resolutions that call for the identification and protection of vulnerable marine ecosystems (VMEs) from significant adverse impacts of bottom fishing. While general criteria have been produced, there are no guidelines or protocols that elaborate on the process from initial identification through to the protection of VMEs. Here, based upon an expert review of existing practices, a 10-step framework is proposed: 1) Comparatively assess potential VME indicator taxa and habitats in a region; 2) determine VME thresholds; 3) consider areas already known for their ecological importance; 4) compile information on the distributions of likely VME taxa and habitats, as well as related environmental data; 5) develop predictive distribution models for VME indicator taxa and habitats; 6) compile known or likely fishing impacts; 7) produce a predicted VME naturalness distribution (areas of low cumulative impacts); 8) identify areas of higher value to user groups; 9) conduct management strategy evaluations to produce trade-off scenarios; 10) review and re-iterate, until spatial management scenarios are developed that fulfil international obligations and regional conservation and management objectives. To date, regional progress has been piecemeal and incremental. The proposed 10-step framework combines these various experiences into a systematic approach.The New Zealand Ministry of Science and Innovation (now known as the Ministry of Business, Innovation and Employment) provided funding for the worksho