Encouraging more students into construction management

The construction industry is plagued by the persistent, long-term problem of skill shortages and skill gaps, especially in construction management. Evidence indicates that the industry will not have enough flexible, qualified professionals able to exercise skills to match changing work requirements especially in new technology, over the coming decade. Upskilling existing workers and individuals with vocational education qualifications into higher education could provide an important solution to skill gap problems. Currently less than 16% of all individuals with vocational qualifications in construction undertake upskilling into higher education. This project investigated the factors that supported upskilling and transfer from VET to higher education (HE) in the construction industry. Interviews were conducted with 36 students who were upskilling from vocational education into higher education in eight Australian universities to elicit “enablers” of upskilling. The results, which identify a number of key enablers as seen through the eyes of students who have made the transition, provides the industry with insights into solving current and future skill gaps. These insights will benefit both the construction industry and the wider national population.

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

Understanding neural functions requires knowledge from analysing electrophysiological data. The process of assigning spikes of a multichannel signal into clusters, called spike sorting, is one of the important problems in such analysis. There have been various automated spike sorting techniques with both advantages and disadvantages regarding accuracy and computational costs. Therefore, developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice.

Dealing with alcohol-related problems in the night-time economy: a study protocol for mapping trends in harm and stakeholder views surrounding local community level interventions

This project will provide a comprehensive investigation into the prevalence of alcohol-related harms and community attitudes in the context of community-based interventions being implemented to reduce harm in two regional centres of Australia. While considerable experimentation and innovation to address these harms has occurred in both Geelong and Newcastle, only limited ad-hoc documentation and analysis has been conducted on changes in the prevalence of harm as a consequence, leaving a considerable gap in terms of a systematic, evidence-based analysis of changes in harm over time and the need for further intervention. Similarly, little evidence has been reported regarding the views of key stakeholder groups, industry, government agencies, patrons or community regarding the need for, and the acceptability of, interventions to reduce harms. This project will aim to provide evidence regarding the impact and acceptability of local initiatives aimed at reducing alcohol-related harms.

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

Spike sorting plays an important role in analysing electrophysiological data and understanding neural functions. Developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice. This paper proposes an automatic unsupervised spike sorting method using the landmark-based spectral clustering (LSC) method in connection with features extracted by the locality preserving projection (LPP) technique. Gap statistics is employed to evaluate the number of clusters before the LSC can be performed. Experimental results show that LPP spike features are more discriminative than those of the popular wavelet transformation (WT). Accordingly, the proposed method LPP-LSC demonstrates a significant dominance compared to the existing method that is the combination between WT feature extraction and the superparamagnetic clustering. LPP and LSC are both linear algorithms that help reduce computational burden and thus their combination can be applied into realtime spike analysis.

Development of guidelines for adults on how to communicate with adolescents about mental health problems and other sensitive topics: a Delphi study

There is little evidence-based information available to guide adults in the general community on communicating effectively with adolescents about mental health problems or other sensitive topics. The Delphi methodology was used to develop guidelines to fill this evidence gap. An online questionnaire containing potential guideline statements was developed following a literature search and input from two focus groups. Two expert panels (Youth Mental Health First Aid instructors and young consumer advocates) rated the questionnaire over three rounds, according to whether or not they believed that the statements should be included in the guidelines. Results were analyzed by comparing endorsement rates between the panels. Of the 175 statements presented, 80 were rated as essential or important by ≥90% of both panels and were included in the guidelines. The Delphi process has offered an effective way to achieve consensus between expert panels on useful tips to help adults communicate with adolescents.