Assessment of university support services for regional and remote students on transition to university: final report

This report details the development and piloting of an Assessment of university support services for regional and remote students on transition to university. The project forms part of the Australian Government’s response to the Independent Review into Regional, Rural and Remote Education led by Emeritus Professor John Halsey. In its recommendations, the Review highlighted how critical it is to “Support RRR [regional, rural and remote] students to make successful transitions from school to university, training, employment and combinations of them”. In relation to this recommendation, this project is designed to support the Australian Government’s response to the Halsey Review by developing a Framework for a periodical assessment of support services which universities offer to these students

International Graduate Outcomes Survey 2018 Final Report

The 2018 International Graduates Outcomes Survey (IGOS) provides an insight into international graduates from Australian universities post-study employment, work readiness, and reflections on course experiences, study motivation and overall satisfaction. Over 10,000 international students who graduated from an Australian university in the last decade (international graduates) were asked a range of questions about their current employment status and their opinions on their Australian qualification. In brief the results indicate that: 90 per cent of graduates who are available for employment are currently employed - incorporating 93 per cent who returned home and 85 percent who were still in Australia; 77 per cent of respondents said that they would recommend Australia as a study destination; 67 per cent of respondents consider their qualification was worth the financial investment; 43 per cent of respondents were currently living in Australia, gaining work experience or undertaking further study, while 47 per cent have returned to their country of origin

A Study of Work Practices in Tasmanian Government Schools: Final report to the Australian Education Union – Tasmanian Branch

The Australian Council for Educational Research (ACER) conducted an online survey of members on behalf of the Tasmanian Branch of the Australian Education Union (AEU). The survey, which was open to teachers, school leaders (principals and assistant principals) and education support staff working in Tasmanian government schools and offices, was available to the majority of members of the Union in August 2017, and remained open for four weeks during Term 3. The survey was based on one conducted for the Victorian branch of the AEU in 2016. The survey of the work of union members in Tasmanian government schools focussed on the hours of work by school staff, staff perceptions of their work, and the relationship between work practices and the quality of teaching. More than 3000 teachers, school leaders and education support staff completed the survey, a response rate of 60%

Yield stability across sowing dates – how to pick a winner in variable seasons?

Take home messages • Match optimal flowering period to growing environment to maximise grain yield potential. • One variety doesn’t fit all; there are no commercially available varieties that are broadly adapted across a wide range of sowing times or growing environments. • Optimising variety phenology and sowing time combinations achieves grain yield stability across a wide sowing window. • Probability of sowing opportunities will influence variety choice and sowing time decisions

Orion Entry Display Feeder and Interactions with the Entry Monitor System

The Orion spacecraft is designed to return astronauts to a landing within 10 km of the intended landing target from low Earth orbit, lunar direct-entry, and lunar skip-entry trajectories. Al pile the landing is nominally controlled autonomously, the crew can fly precision entries manually in the event of an anomaly. The onboard entry displays will be used by the crew to monitor and manually fly the entry, descent, and landing, while the Entry Monitor System (EMS) will be used to monitor the health and status of the onboard guidance and the trajectory. The entry displays are driven by the entry display feeder, part of the Entry Monitor System (EMS). The entry re-targeting module, also part of the EMS, provides all the data required to generate the capability footprint of the vehicle at any point in the trajectory, which is shown on the Primary Flight Display (PFD). It also provides caution and warning data and recommends the safest possible re-designated landing site when the nominal landing site is no longer within the capability of the vehicle. The PFD and the EMS allow the crew to manually fly an entry trajectory profile from entry interface until parachute deploy having the flexibility to manually steer the vehicle to a selected landing site that best satisfies the priorities of the crew. The entry display feeder provides data from the ENIS and other components of the GNC flight software to the displays at the proper rate and in the proper units. It also performs calculations that are specific to the entry displays and which are not made in any other component of the flight software. In some instances, it performs calculations identical to those performed by the onboard primary guidance algorithm to protect against a guidance system failure. These functions and the interactions between the entry display feeder and the other components of the EMS are described

Magnetic Fields and Infall Motions in NGC 1333 IRAS 4

We present single-dish 350 micron dust continuum polarimetry as well as HCN and HCO+ J=4-3 rotational emission spectra obtained on NGC 1333 IRAS 4. The polarimetry indicates a uniform field morphology over a 20" radius from the peak continuum flux of IRAS 4A, in agreement with models of magnetically supported cloud collapse. The field morphology around IRAS 4B appears to be quite distinct however, with indications of depolarization observed towards the peak flux of this source. Inverse P-Cygni profiles are observed in the HCN J=4-3 line spectra towards IRAS 4A, providing a clear indication of infall gas motions. Taken together, the evidence gathered here appears to support the scenario that IRAS 4A is a cloud core in a critical state of support against gravitational collapse.Comment: 23 pages, 6 figures, 2 table

Artificial intelligence in digital pathology: a diagnostic test accuracy systematic review and meta-analysis

Ensuring diagnostic performance of AI models before clinical use is key to the safe and successful adoption of these technologies. Studies reporting AI applied to digital pathology images for diagnostic purposes have rapidly increased in number in recent years. The aim of this work is to provide an overview of the diagnostic accuracy of AI in digital pathology images from all areas of pathology. This systematic review and meta-analysis included diagnostic accuracy studies using any type of artificial intelligence applied to whole slide images (WSIs) in any disease type. The reference standard was diagnosis through histopathological assessment and / or immunohistochemistry. Searches were conducted in PubMed, EMBASE and CENTRAL in June 2022. We identified 2976 studies, of which 100 were included in the review and 48 in the full meta-analysis. Risk of bias and concerns of applicability were assessed using the QUADAS-2 tool. Data extraction was conducted by two investigators and meta-analysis was performed using a bivariate random effects model. 100 studies were identified for inclusion, equating to over 152,000 whole slide images (WSIs) and representing many disease types. Of these, 48 studies were included in the meta-analysis. These studies reported a mean sensitivity of 96.3% (CI 94.1-97.7) and mean specificity of 93.3% (CI 90.5-95.4) for AI. There was substantial heterogeneity in study design and all 100 studies identified for inclusion had at least one area at high or unclear risk of bias. This review provides a broad overview of AI performance across applications in whole slide imaging. However, there is huge variability in study design and available performance data, with details around the conduct of the study and make up of the datasets frequently missing. Overall, AI offers good accuracy when applied to WSIs but requires more rigorous evaluation of its performance.Comment: 26 pages, 5 figures, 8 tables + Supplementary material

The intrinsic aqueous solubility of indomethacin

A value of 8.8 μg/mL was measured for the intrinsic solubility of indomethacin. Evidence of a form with a solubility of about 77 μg/mL was also obtained. Solubility measurements were conducted using the CheqSol and Curve Fitting methods using a maximum pH of 9. It is also demonstrated that a published intrinsic solubility of 410 μg/mL was in error due to decomposition of indomethacin at pH 12. The decomposition of indomethacin at pH 12 was investigated. Decomposition products comprising p-chlorobenzoic acid and 5-Methoxy-2-methyl-3-indoleacetic acid were isolated and characterised