Digital Commons Network^™

Spatial And Seasonal Variations In Dissolved Methane Across A Large Lake, Mike Peacock, Scott J. Davidson, Dolly N. Kothawala, Joel Segersten, Martyn N. Futter

School of Geography, Earth and Environmental Sciences

Lakes process large volumes of organic carbon (OC), are important sources of methane (CH4), and contribute to climatic warming. However, there is a lack of data from large lakes >500 km2, which creates uncertainty in global budgets. In this data article, we present dissolved CH4, OC bioreactivity measurements, water chemistry, and algal biovolumes at 11 stations across Lake Mälaren, the third largest (1,074 km2) Swedish lake. Total phosphorus concentrations show that during the study period the lake was classed as mesotrophic/eutrophic. Overall mean CH4 concentration from all stations, sampled five times to cover seasonal variation, was 2.51 μg l−1 (0.98–5.39 …

“I'M Making A Positive Change In My Life”: A Mixed Method Evaluation Of A Well-Being Tertiary Education Unit, Ben Piggott, Paola Chivers, Caroline Bulsara, Jenny Conlon, Kaine Grigg, Sarah Ann Harris, Michelle Lambert, Lynne Millar, Christina M. Pollard

Research outputs 2022 to 2026

Issue Addressed:

Mental health disorders (MHDs) are prevalent amongst university students with detrimental impacts on individual students, universities and the wider community. There is an urgent need for proactive and preventative strategies to address the mental health crisis in the university population. This study evaluated the efficacy of a 13-week unit developed to directly educate university students about ways to improve and maintain well-being.

Methods:

Fifty-eight university students from five disciplines participated in a 13-week elective undergraduate unit “Well-Being Fundamentals for Success” as part of their degree. The Act Belong Commit mental health promotion campaign framework formed the basis of …

A Novel Skin Cancer Prevention Strategy: Preservice Teachers' Perceptions Of A Sun Safety Intervention And Experiences In Schools, Joseph J. Scott, Robyn S. Johnston, Jill Darby, Sally Blane, Mark Strickland, Bronwen M. Mcnoe

Research outputs 2022 to 2026

Issue addressed:

Teachers play a vital role in developing children's sun protection routines however upskilling preservice teachers (PSTs) while at university has not yet been trialled as a targeted skin cancer prevention strategy. Hence, this study investigated PSTs perceptions and experiences of sun safety following a brief pilot intervention and placement in primary schools in Western Australia.

Methods:

This study used a triangulation mixed methods design. Participants (n = 161) completed a post intervention survey which was analysed quantitatively. A random sub-sample was invited to participate in focus groups (three groups, n = 21) and one-on-one interviews (n = 4). …

Consensus Guidelines For Sarcopenia Prevention, Diagnosis And Management In Australia And New Zealand, Jesse Zanker, Marc Sim, Kate Anderson, Saliu Balogun, Sharon L. Brennan-Olsen, Elsa Dent, Gustavo Duque, Christian M. Girgis, Mathis Grossmann, Alan Hayes, Tim Henwood, Vasant Hirani, Charles Inderjeeth, Sandra Iuliano, Justin Keogh, Joshua R. Lewis, Gordon S. Lynch, Julie A. Pasco, Steven Phu, Esmee M. Reijnierse, Nicholas Russell, Lara Vlietstra, Renuka Visvanathan, Troy Walker, Debra L. Waters, Solomon Yu, Andrea B. Maier, Robin M. Daly, David Scott

Research outputs 2022 to 2026

Background:

Sarcopenia is an age-associated skeletal muscle condition characterized by low muscle mass, strength, and physical performance. There is no international consensus on a sarcopenia definition and no contemporaneous clinical and research guidelines specific to Australia and New Zealand. The Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Sarcopenia Diagnosis and Management Task Force aimed to develop consensus guidelines for sarcopenia prevention, assessment, management and research, informed by evidence, consumer opinion, and expert consensus, for use by health professionals and researchers in Australia and New Zealand.

Methods:

A four-phase modified Delphi process involving topic experts and informed …

Decoding The Mechanism Of Hypertension Through Multiomics Profiling, Eric Adua

Research outputs 2022 to 2026

Hypertension, characterised by a constant high blood pressure, is the primary risk factor for multiple cardiovascular events and a major cause of death in adults. Excitingly, innovations in high-throughput technologies have enabled the global exploration of the whole genome (genomics), revealing dysregulated genes that are linked to hypertension. Moreover, post-genomic biomarkers, from the emerging fields of transcriptomics, proteomics, glycomics and lipidomics, have provided new insights into the molecular underpinnings of hypertension. In this paper, we review the pathophysiology of hypertension, and highlight the multi-omics approaches for hypertension prediction and diagnosis.

Ecohydrology Of Coastal Aquifers In Humid Environments And Implications Of A Drying Climate, Madeleine Dyring, Harald Hofmann, David Stanton, Patrick Moss, Ray Froend

Research outputs 2022 to 2026

Coastal groundwater-dependent ecosystems (GDEs), such as wetlands, estuaries and mangrove forests, are globally important habitats that promote biodiversity, provide climate regulation and serve as refugia for plant and animal communities. However, global warming, coastal development and over-abstraction threaten the availability and quality of groundwater in coastal aquifers and, by extension, the ecohydrological function of dependent ecosystems. Because ecohydrological knowledge of coastal groundwater is disparate across disciplines and habitat types, we begin by summarising the physiochemical, biological and hydrological processes supported by groundwater across coastal watersheds. Groundwater makes a significant but poorly recognised contribution to the function and resilience of coastal …

Leukocyte Surface Biomarkers Implicate Deficits Of Innate Immunity In Sporadic Alzheimer's Disease, Xin Huang, Yihan Li, Christopher Fowler, James D. Doecke, Yen Ying Lim, Candace Drysdale, Vicky Zhang, Keunha Park, Brett Trounson, Kelly Pertile, Rebecca Rumble, John W. Pickering, Robert A. Rissman, Floyd Sarsoza, Sara Abdel-Latif, Yong Lin, Vincent Doré, Victor Villemagne, Christopher C. Rowe, Jurgen Fripp, Ralph Martins, James S. Wiley, Paul Maruff, Jacobo E. Mintzer, Colin L. Masters, Ben J. Gu

Research outputs 2022 to 2026

Introduction:

Blood-based diagnostics and prognostics in sporadic Alzheimer's disease (AD) are important for identifying at-risk individuals for therapeutic interventions.

Methods:

In three stages, a total of 34 leukocyte antigens were examined by flow cytometry immunophenotyping. Data were analyzed by logistic regression and receiver operating characteristic (ROC) analyses.

Results:

We identified leukocyte markers differentially expressed in the patients with AD. Pathway analysis revealed a complex network involving upregulation of complement inhibition and downregulation of cargo receptor activity and Aβ clearance. A proposed panel including four leukocyte markers – CD11c, CD59, CD91, and CD163 – predicts patients’ PET Aβ status with an …

Leveraging Machine Learning To Analyze Sentiment From Covid-19 Tweets: A Global Perspective, Md Mahbubar Rahman, Nafiz Imtiaz Khan, Iqbal H. Sarker, Mohiuddin Ahmed, Muhammad Nazrul Islam

Research outputs 2022 to 2026

Since the advent of the worldwide COVID-19 pandemic, analyzing public sentiment has become one of the major concerns for policy and decision-makers. While the priority is to curb the spread of the virus, mass population (user) sentiment analysis is equally important. Though sentiment analysis using different state-of-the-art technologies has been focused on during the COVID-19 pandemic, the reasons behind the variations in public sentiment are yet to be explored. Moreover, how user sentiment varies due to the COVID-19 pandemic from a cross-country perspective has been less focused on. Therefore, the objectives of this study are: to identify the most effective …

No Effect Of Repeated Post-Resistance Exercise Cold Or Hot Water Immersion On In-Season Body Composition And Performance Responses In Academy Rugby Players: A Randomised Controlled Cross-Over Design, Barry G. Horgan, Shona L. Halson, Eric J. Drinkwater, Nicholas P. West, Nicolin Tee, Rebekah D. Alcock, Dale W. Chapman, G. Gregory Haff

Research outputs 2022 to 2026

Purpose:

Following resistance exercise, uncertainty exists as to whether the regular application of cold water immersion attenuates lean muscle mass increases in athletes. The effects of repeated post-resistance exercise cold versus hot water immersion on body composition and neuromuscular jump performance responses in athletes were investigated.

Methods:

Male, academy Super Rugby players (n = 18, 19.9 ± 1.5 y, 1.85 ± 0.06 m, 98.3 ± 10.7 kg) participated in a 12-week (4-week × 3-intervention, i.e., control [CON], cold [CWI] or hot [HWI] water immersion) resistance exercise programme, utilising a randomised cross-over pre–post-design. Body composition measures were collected using dual-energy X-ray …

Patterns And Implications Of Neurological Examination Findings In Autosomal Dominant Alzheimer Disease, Jonathan Vöglein, Nicolai Franzmeier, John C. Morris, Marianne Dieterich, Eric Mcdade, Mikael Simons, Oliver Preische, Anna Hofmann, Jason Hassenstab, Tammie L. Benzinger, Anne Fagan, James M. Noble, Sarah B. Berman, Neill R. Graff-Radford, Bernardino Ghetti, Martin R. Farlow, Jasmeer P. Chhatwal, Stephen Salloway, Chengjie Xiong, Celeste M. Karch, Nigel Cairns, Richard J. Perrin, Gregory Day, Ralph Martins, Raquel Sanchez-Valle, Hiroshi Mori, Hiroyuki Shimada, Takeshi Ikeuchi, Kazushi Suzuki, Peter R. Schofield, Colin L. Masters, Alison Goate, Virginia Buckles, Nick C. Fox, Patricio Chrem, Ricardo Allegri, John M. Ringman, Igor Yakushev, Christoph Laske, Mathias Jucker, Günter Höglinger, Randall L. Bateman, Adrian Danek, Johannes Levin, Dominantly Inherited Alzheimer Network

Research outputs 2022 to 2026

Introduction:

As knowledge about neurological examination findings in autosomal dominant Alzheimer disease (ADAD) is incomplete, we aimed to determine the frequency and significance of neurological examination findings in ADAD.

Methods:

Frequencies of neurological examination findings were compared between symptomatic mutation carriers and non mutation carriers from the Dominantly Inherited Alzheimer Network (DIAN) to define AD neurological examination findings. AD neurological examination findings were analyzed regarding frequency, association with and predictive value regarding cognitive decline, and association with brain atrophy in symptomatic mutation carriers.

Results:

AD neurological examination findings included abnormal deep tendon reflexes, gait disturbance, pathological cranial nerve examination findings, …

Plasma Aβ42/40 Ratio, P-Tau181, Gfap, And Nfl Across The Alzheimer's Disease Continuum: A Cross-Sectional And Longitudinal Study In The Aibl Cohort, Pratishtha Chatterjee, Steve Pedrini, James D. Doecke, Rohith Thota, Victor L. Villemagne, Vincent Doré, Abhay K. Singh, Penghao Wang, Stephanie Rainey-Smith, Christopher Fowler, Kevin Taddei, Hamid R. Sohrabi, Mark P. Molloy, David Ames, Paul Maruff, Christopher C. Rowe, Colin L. Masters, Ralph N. Martins, Aibl Research Group

Research outputs 2022 to 2026

Introduction:

Plasma amyloid beta (Aβ)1-42/Aβ1-40 ratio, phosphorylated-tau181 (p-tau181), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) are putative blood biomarkers for Alzheimer's disease (AD). However, head-to-head cross-sectional and longitudinal comparisons of the aforementioned biomarkers across the AD continuum are lacking.

Methods:

Plasma Aβ1-42, Aβ1-40, p-tau181, GFAP, and NfL were measured utilizing the Single Molecule Array (Simoa) platform and compared cross-sectionally across the AD continuum, wherein Aβ-PET (positron emission tomography)–negative cognitively unimpaired (CU Aβ−, n = 81) and mild cognitive impairment (MCI Aβ−, n = 26) participants were compared with Aβ-PET–positive participants across the AD continuum (CU Aβ+, n = …

Splitting Tensile Strength Of Recycled Tire Steel Fiber-Reinforced Alkali-Activated Slag Concrete Designed By Taguchi Method, Milad Eskandarinia, Mina Esmailzade, Farhad Aslani

Research outputs 2022 to 2026

Despite offering several benefits in terms of environment and economics, few studies were conducted on the ground granulated blast furnace slag (GGBFS) based alkali-activated concrete reinforced with recycled tire steel fibers (RTSFs). Therefore, this paper employed the Taguchi method to investigate and optimize the influence of GGBFS content, the alkaline solution to GGBFS content ratio, sodium hydroxide solution concentration, and RTSF volume fraction on splitting tensile strength (STS) of recycled tire steel fiber-reinforced alkali-activated slag concrete (RTSFR-AASC). The microstructural evaluation was done through scanning electron microscopy, and Fourier transform infrared spectroscopy (FTIR) analyses. The results indicated that the fiber content, …

Vitamin D Supplementation And Exercise For Improving Physical Function, Body Composition And Metabolic Health In Overweight Or Obese Older Adults With Vitamin D Deficiency: A Pilot Randomized, Double-Blind, Placebo-Controlled Trial, Jakub Mesinovic, Alexander J. Rodriguez, Mavil May Cervo, Anoohya Gandham, Cecilia L. H. Xu, Costas Glavas, Barbora De Courten, Ayse Zengin, Peter R. Ebeling, David Scott

Research outputs 2022 to 2026

Purpose:

Vitamin D supplementation may have non-skeletal health benefits and enhance exercise responsiveness, particularly in those with low vitamin D levels. We determined whether, compared with placebo, vitamin D supplementation taken prior to and during a 12-week exercise program improves physical function, body composition or metabolic health, in overweight and obese older adults with vitamin D deficiency.

Methods:

Fifty overweight or obese older adults (mean ± SD age: 60 ± 6 years; BMI 30.6 ± 5.7 kg/m2) with vitamin D deficiency (25-hydroxyvitamin D [25(OH)D] < 50 nmol/L) were recruited. Participants were randomly allocated to receive either vitamin D3 (4000 IU/day) or matching placebo for 24 weeks. Between weeks 12 and 24, all participants completed multi-modal exercise three days per week while continuing with vitamin D/placebo. Mean changes in physical function (primary outcome: gait speed), body composition and biochemical parameters at weeks 12 and 24 were compared between groups.

Results:

Vitamin D supplementation, with or without exercise, had no effect on gait speed. From baseline …

The Importance Of Trust And Authenticity Among Stakeholders Involved In Higher Education Data Infrastructure Redevelopments: An Australian Critical Discourse Study, Elizabeth Cook

Research outputs 2022 to 2026

Governments require higher education providers (HEPs) to be transparent in their use of public funds and have developed specialised higher education (HE) data infrastructure to enable the data transfer from HEPs to government departments. In 2018, Australia’s Department of Education, Skills and Employment launched Transforming the Collection of Student Information (TCSI) to enhance HE data infrastructure for student data transfer. This critical discourse study explores the discourses, discursive strategies and perspectives surrounding TCSI. Findings included HEP issues and concerns that the interviewees believed were inadequately addressed or ignored despite the Department’s claims of extensive engagement with HEPs to achieve mutually …

Spatial Heterogeneity In Sediment And Carbon Accretion Rates Within A Seagrass Meadow Correlated With The Hydrodynamic Intensity, Jiarui Lei, Rachel Schaefer, Phil Colarusso, Alyssa Novak, Juliet C. Simpson, Pere Masqué, Heidi Nepf

Research outputs 2022 to 2026

The majority of the carbon stored in seagrass sediments originates outside the meadow, such that the carbon storage capacity within a meadow is strongly dependent on hydrodynamic conditions that favor deposition and retention of fine organic matter within the meadow. By extension, if hydrodynamic conditions vary across a meadow, they may give rise to spatial gradients in carbon. This study considered whether the spatial gradients in sediment and carbon accretion rates correlated with the spatial variation in hydrodynamic intensity within a single meadow. Field measurements were conducted in three depth zones across a Zostera marina L. (eelgrass) meadow in Nahant …

Synergistic Effects Of Microplastics And Organic Foulants On The Performance Of Forward Osmosis Membranes, Mitra Golgoli, Mehdi Khiadani, Tushar Kanti Sen, Amir Razmjou, Michael L. Johns, Masoumeh Zargar

Research outputs 2022 to 2026

Microplastics (MPs) are emerging contaminants that are abundantly present in the influent and effluent of wastewater treatment plants (WWTPs). Forward osmosis (FO) is an advanced treatment technology with potential applications in WWTPs. The presence of MPs in WWTP effluents can contribute to FO fouling and performance deterioration. This study focuses on FO membrane fouling by MPs of different sizes, and the interactional impacts of MPs and Humic acid (HA) (as the most common organic foulant in WWTPs) on FO membrane performance. The synergistic effect of combined MPs and HA fouling is shown to cause higher flux decline for FO membranes …

Diagnostic Accuracy Of Autoverification And Guidance System For Covid-19 Rt-Pcr Results, Yingmu Cai, Mengyu Liu, Zhiyuan Wu, Cuihong Tian, Song Qiu, Zhen Li, Feng Xu, Wei Li, Yan Zheng, Aijuan Xu, Longxu Xie, Xuerui Tan

Research outputs 2022 to 2026

Background:

To date, most countries worldwide have declared that the pandemic of COVID-19 is over, while the WHO has not officially ended the COVID-19 pandemic, and China still insists on the personalized dynamic COVID-free policy. Large-scale nucleic acid testing in Chinese communities and the manual interpretation for SARS-CoV-2 nucleic acid detection results pose a huge challenge for labour, quality and turnaround time (TAT) requirements. To solve this specific issue while increase the efficiency and accuracy of interpretation, we created an autoverification and guidance system (AGS) that can automatically interpret and report the COVID-19 reverse transcriptase-polymerase chain reaction (RT-PCR) results relaying …

Metal-Organic Framework-Based Biosensing Platforms For The Sensitive Determination Of Trace Elements And Heavy Metals: A Comprehensive Review, Hessamaddin Sohrabi, Shahin Ghasemzadeh, Sama Shakib, Mir Reza Majidi, Amir Razmjou, Yeojoon Yoon, Alireza Khataee

Research outputs 2022 to 2026

Heavy metals in food and water sources are potentially harmful to humans. Determination of these pollutants is critical for improving safety. Effective recognition systems are a contemporary challenge; several novel technologies for the quick, easy, selective, and sensitive determination of these compounds are in demand. Metal-organic framework (MOF)-based sensors and biosensors have crucial applications in identifying these potentially harmful substances. Here, we review electrochemical and optical biosensors for in situ sensing that are sensitive and cost effective, with a simple protocol and wide linear range. Despite the abundance of articles in this field, we assessed and checked out various basic …

Association Of Igg N-Glycomics With Prevalent And Incident Type 2 Diabetes Mellitus From The Paradigm Of Predictive, Preventive, And Personalized Medicine Standpoint, Xiaoni Meng, Fei Wang, Xiangyang Gao, Biyan Wang, Xizhu Xu, Youxin Wang, Wei Wang, Qiang Zeng

Research outputs 2022 to 2026

Objectives: Type 2 diabetes mellitus (T2DM), a major metabolic disorder, is expanding at a rapidly rising worldwide prevalence and has emerged as one of the most common chronic diseases. Suboptimal health status (SHS) is considered a reversible intermediate state between health and diagnosable disease. We hypothesized that the time frame between the onset of SHS and the clinical manifestation of T2DM is the operational area for the application of reliable risk assessment tools, such as immunoglobulin G (IgG) N-glycans. From the viewpoint of predictive, preventive, and personalized medicine (PPPM/3PM), the early detection of SHS and dynamic monitoring by glycan biomarkers …

Causal Effect Of Pm1 On Morbidity Of Cause-Specific Respiratory Diseases Based On A Negative Control Exposure, Shiyun Lv, Xiangtong Liu, Zhiwei Li, Feng Lu, Moning Guo, Mengmeng Liu, Jing Wei, Zhiyuan Wu, Siqi Yu, Shihong Li, Xia Li, Wenkang Gao, Lixin Tao, Wei Wang, Jinyuan Xin, Xiuhua Guo

Research outputs 2022 to 2026

Background: Extensive studies have linked PM2.5 and PM10 with respiratory diseases (RD). However, few is known about causal association between PM1 and morbidity of RD. We aimed to assess the causal effects of PM1 on cause-specific RD. Methods: Hospital admission data were obtained for RD during 2014 and 2019 in Beijing, China. Negative control exposure and extreme gradient boosting with SHapley Additive exPlanation was used to explore the causality and contribution between PM1 and RD. Stratified analysis by gender, age, and season was conducted. Results: A total of 1,183,591 admissions for RD were recorded. Per interquartile range (28 μg/m3) uptick …

Ranking The Risk Of Co2 Emissions From Seagrass Soil Carbon Stocks Under Global Change Threats, Martin Dahl, Kathryn Mcmahon, Paul S. Lavery, Serena H. Hamilton, Catherine E. Lovelock, Oscar Serrano

Research outputs 2022 to 2026

Seagrass meadows are natural carbon storage hotspots at risk from global change threats, and their loss can result in the remineralization of soil carbon stocks and CO2 emissions fueling climate change. Here we used expert elicitation and empirical evidence to assess the risk of CO2 emissions from seagrass soils caused by multiple human-induced, biological and climate change threats. Judgments from 41 experts were synthesized into a seagrass CO2 emission risk score based on vulnerability factors (i.e., spatial scale, frequency, magnitude, resistance and recovery) to seagrass soil organic carbon stocks. Experts perceived that climate change threats (e.g., gradual ocean warming and …

Collaborative Inquiry With Men Who Use Intimate Partner Violence: Service User Perspectives On Expertise In Domestic Violence Services For Men, Rebecca Jury

Research outputs 2022 to 2026

Concerns have been expressed regarding the efficacy of services for heterosexual men who use intimate partner violence. In addition, there has been limited research into the perspectives of these men regarding their use of services. The Australian study outlined in this article sought to examine the experiences of heterosexual men who use intimate partner violence (IPV) when they access domestic violence services. Collaborative inquiry was undertaken with men who were attending a residential domestic violence service to explore the research question; What does expertise look like in domestic violence services for men? When discussing expertise, twenty men identified four themes: …

Can Tourism Market Diversification Mitigate The Adverse Effects Of A Blockade On Tourism? Evidence From Qatar, Ghialy Yap, Shrabani Saha, Nelson O. Ndubisi, Saif S. Alsowaidi, Ali S. Saleh

Research outputs 2022 to 2026

This study examines the effects of an unfavorable political event or environmental hostility, namely, a blockade affecting international tourist inflows, and how tourism market diversification (TMD) could mitigate the adverse effects in the case of Qatar. To quantify these effects, we adopted a standard tourism-demand model and augmented it with a Herfindahl index (HI) for the geographical diversification of tourism exports, a dummy variable for the blockade, and an interaction variable. We further analyzed the tourist inflows from various regions using regional dummies and their interaction terms to capture the different impacts of the blockade on Qatar’s inbound tourists from …

Managing Emotional Labour: The Importance Of Organisational Support For Managing Police Officers In England And Italy, Yvonne Brunetto, Ben Farr-Wharton, Paresh Wankhade, Chiara Saccon, Matthew Xerri

Research outputs 2022 to 2026

This paper empirically examines the impact of organisational psychological support on employees’ outcomes as an example of the ‘Common Good HRM’ model on the well-being–performance continuum of police officers, using a Conservation of Resources (COR) theoretical framework. The study uses Structural Equation Modelling to analyse data from 220 Italian police and 228 English police officers to compare the impact of Perceived Organisational Support (POS) on organisational stress, employees’ resilience, and engagement. The findings show that low Perceived Organisational Support (POS) leads to high stress, which then comprises employees’ resilience and likely demotivates them from being engaged on the job, explaining …

Supply Chain Insights From Social Media Users’ Responses To Panic Buying During Covid-19: The Herd Mentality, Violetta Wilk, Saiyidi Mat Roni, Ferry Jie

Research outputs 2022 to 2026

Purpose:

This study applied the herd mentality theory to explore local and global social media users’ responses to panic buying across the USA, UK and Australia during the COVID-19 crisis to understand the implications on operations and supply chains.

Design/methodology/approach:

A total of 208,806 social media user-generated content (UGC) pieces were collected from Twitter in three countries – the USA, UK and Australia. The analysis of this big qualitative data was performed using machine learning–based software – Leximancer.

Findings:

Positive and negative sentiment towards panic buying during the COVID-19 crisis was observed in the UGC. No significant differences in social …

Distilling Best Practice Principles For Public Participation In Impact Assessment Follow-Up, Angus Morrison-Saunders, Jos Arts, Jenny Pope, Alan Bond, Francois Retief

Research outputs 2022 to 2026

Building upon principles for public engagement and for impact assessment (IA) follow-up, this paper distils best practice principles specific to public participation in IA follow-up. Literature review, followed by a simple survey distributed to IA follow-up and/or public engagement practitioners, helped identify key principles and related published sources. Twelve principles for public participation in IA follow-up are presented, which relate to (1) mandatory public reporting, (2) ease of access to published material, (3) full transparency, (4) clarity about the IA follow-up process, (5) input to decision-making, (6) continuous access to IA follow-up activities and feedback, (7) independent verification, (8) two-way …

Autonomy Versus Support: Self-Reliance And Help-Seeking For Mental Health Problems In Young People, Amelia Ishikawa, Debra Rickwood, Emily Bariola, Navjot Bhullar

Research outputs 2022 to 2026

Purpose:

Many young people with mental ill-health do not seek support, and developmental growth in self-reliance may be a barrier to help-seeking. Increasing autonomy is a positive developmental task for youth and a key aspect of resilience. This study examined the influence of perceived social support and resilience on the previously unexamined relationship between self-reliance and intentions to seek help from informal, professional, and self-help sources for mental health problems.

Methods:

An online survey was completed by a representative Australian community sample of 5,203 young people aged 12–25 years (half female), in May–June 2020.

Results:

Path analysis showed the hypothesised …

Communety: Deep Learning-Based Face Recognition System For The Prediction Of Cohesive Communities, Syed Afaq Ali Shah, Weifeng Deng, Muhammad Aamir Cheema, Abdul Bais

Research outputs 2022 to 2026

Effective mining of social media, which consists of a large number of users is a challenging task. Traditional approaches rely on the analysis of text data related to users to accomplish this task. However, text data lacks significant information about the social users and their associated groups. In this paper, we propose CommuNety, a deep learning system for the prediction of cohesive networks using face images from photo albums. The proposed deep learning model consists of hierarchical CNN architecture to learn descriptive features related to each cohesive network. The paper also proposes a novel Face Co-occurrence Frequency algorithm to quantify …

Covid-19 Two Years On: A Review Of Covid-19-Related Empirical Research In Major Tourism And Hospitality Journals, Songshan (Sam) Huang, Xuequn Wang

Research outputs 2022 to 2026

Purpose: This study aims to provide a timely review of the COVID-19-related empirical research published in 19 quartile one (Q1) and quartile two (Q2) tourism and hospitality journals in social science citation index (SSCI).

Design/methodology/approach: A total of 407 COVID-19-related empirical papers were collected from the 19 SSCI Q1 and Q2 tourism and hospitality journals via Scopus database. Thematic content analysis was supplemented with Leximancer software to identify the research themes/subthemes, research methods and countries/regions of research.

Findings: The study found studies of COVID-19’s impact on consumer behaviour predominate in number, followed by studies on response actions and recovery strategies, …

Care Visits: Obligations, Opportunities And Constraints For Vietnamese Grandparent Visitors In Australia, Hien Thi Nguyen, Loretta Baldassar, Raelene Wilding

Research outputs 2022 to 2026

In examining the ageing-migration nexus from a Global South perspective, this paper explores the obligations, opportunities and constraints of caregiving performed by Vietnamese grandparent visitors during their sojourns in Australia. Employing a grounded theory approach and care circulation framework, we investigate how grandparent visitors and adult migrant children experience and understand care and ageing in contexts of mobility, including an analysis of how gender, age, socio-economic contexts and culture shape and affect their care norms and practices. The analysis emphasizes the critical contributions that Vietnamese grandparents make to the reproductive labour of their adult migrant children who often face challenges …