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2021

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Detect Schools Study Protocol: A Prospective Observational Cohort Surveillance Study Investigating The Impact Of Covid-19 In Western Australian Schools, Marianne J. Mullane, Hannah M. Thomas, Melanie Epstein, Joelie Mandzufas, Narelle Mullan, Alexandra Whelan, Karen Lombardi, Tina Barrow, Sherlynn Ang, Adele Leahy, Ewan Cameron, Leanne Lester, Matt Cooper, Paul Stevenson, Mitch Hartman, Anne Mckenzie, Francis Mitrou, Stephen R. Zubrick, Juli Coffin, Donna Cross, Asha C. Bowen, Peter Gething Jan 2021

Detect Schools Study Protocol: A Prospective Observational Cohort Surveillance Study Investigating The Impact Of Covid-19 In Western Australian Schools, Marianne J. Mullane, Hannah M. Thomas, Melanie Epstein, Joelie Mandzufas, Narelle Mullan, Alexandra Whelan, Karen Lombardi, Tina Barrow, Sherlynn Ang, Adele Leahy, Ewan Cameron, Leanne Lester, Matt Cooper, Paul Stevenson, Mitch Hartman, Anne Mckenzie, Francis Mitrou, Stephen R. Zubrick, Juli Coffin, Donna Cross, Asha C. Bowen, Peter Gething

Research outputs 2014 to 2021

Introduction: Amidst the evolving COVID-19 pandemic, understanding the transmission dynamics of the SARS-CoV-2 virus is key to providing peace of mind for the community and informing policy-making decisions. While available data suggest that school-aged children are not significant spreaders of SARS-CoV-2, the possibility of transmission in schools remains an ongoing concern, especially among an aging teaching workforce. Even in low-prevalence settings, communities must balance the potential risk of transmission with the need for students' ongoing education. Through the roll out of high-throughput school-based SARS-CoV-2 testing, enhanced follow-up for individuals exposed to COVID-19 and wellbeing surveys, this study investigates the dynamics …


A Geospatiotemporal And Causal Inference Epidemiological Exploration Of Substance And Cannabinoid Exposure As Drivers Of Rising Us Pediatric Cancer Rates, Albert S. Reece, Gary K. Hulse Jan 2021

A Geospatiotemporal And Causal Inference Epidemiological Exploration Of Substance And Cannabinoid Exposure As Drivers Of Rising Us Pediatric Cancer Rates, Albert S. Reece, Gary K. Hulse

Research outputs 2014 to 2021

Background: Age-adjusted US total pediatric cancer incidence rates (TPCIR) rose 49% 1975–2015 for unknown reasons. Prenatal cannabis exposure has been linked with several pediatric cancers which together comprise the majority of pediatric cancer types. We investigated whether cannabis use was related spatiotemporally and causally to TPCIR. Methods: State-based age-adjusted TPCIR data was taken from the CDC Surveillance, Epidemiology and End Results cancer database 2003–2017. Drug exposure was taken from the nationally-representative National Survey of Drug Use and Health, response rate 74.1%. Drugs included were: tobacco, alcohol, cannabis, opioid analgesics and cocaine. This was supplemented by cannabinoid concentration data from the …


Plasma Amyloid‐Beta Levels In A Pre‐Symptomatic Dutch‐Type Hereditary Cerebral Amyloid Angiopathy Pedigree: A Cross‐Sectional And Longitudinal Investigation, Pratishtha Chatterjee, Michelle Tegg, Steve Pedrini, Anne M. Fagan, Chengjie Xiong, Abhay K. Singh, Kevin Taddei, Samantha Gardener, Colin L. Masters, Peter R. Schofield, Gerhard Multhaup, Tammie L. S. Benzinger, John C. Morris, Randall J. Bateman, Steven M. Greenberg, Mark A. Van Buchem, Erik Stoops, Hugo Vanderstichele, Charlotte E. Teunissen, Graeme J. Hankey, Marieke J. H. Wermer, Hamid R. Sohrabi, Ralph N. Martins, The Dominantly Inherited Alzheimer Network Jan 2021

Plasma Amyloid‐Beta Levels In A Pre‐Symptomatic Dutch‐Type Hereditary Cerebral Amyloid Angiopathy Pedigree: A Cross‐Sectional And Longitudinal Investigation, Pratishtha Chatterjee, Michelle Tegg, Steve Pedrini, Anne M. Fagan, Chengjie Xiong, Abhay K. Singh, Kevin Taddei, Samantha Gardener, Colin L. Masters, Peter R. Schofield, Gerhard Multhaup, Tammie L. S. Benzinger, John C. Morris, Randall J. Bateman, Steven M. Greenberg, Mark A. Van Buchem, Erik Stoops, Hugo Vanderstichele, Charlotte E. Teunissen, Graeme J. Hankey, Marieke J. H. Wermer, Hamid R. Sohrabi, Ralph N. Martins, The Dominantly Inherited Alzheimer Network

Research outputs 2014 to 2021

Plasma amyloid‐beta (Aβ) has long been investigated as a blood biomarker candidate for Cerebral Amyloid Angiopathy (CAA), however previous findings have been inconsistent which could be attributed to the use of less sensitive assays. This study investigates plasma Aβ alterations between pre‐symptomatic Dutch‐type hereditary CAA (D‐CAA) mutation‐carriers (MC) and non-carriers (NC) using two Aβ measurement platforms. Seventeen pre‐symptomatic members of a D‐ CAA pedigree were assembled and followed up 3–4 years later (NC = 8;MC = 9). Plasma Aβ1‐40 and Aβ1‐42 were cross‐sectionally and longitudinally analysed at baseline (T1) and follow‐up (T2) and were found to be lower in MCs …


Metabolomics And Lipidomics: Expanding The Molecular Landscape Of Exercise Biology, Mehdi R. Belhaj, Nathan G. Lawler, Nolan J. Hoffman Jan 2021

Metabolomics And Lipidomics: Expanding The Molecular Landscape Of Exercise Biology, Mehdi R. Belhaj, Nathan G. Lawler, Nolan J. Hoffman

Research outputs 2014 to 2021

Dynamic changes in circulating and tissue metabolites and lipids occur in response to exercise-induced cellular and whole-body energy demands to maintain metabolic homeostasis. The metabolome and lipidome in a given biological system provides a molecular snapshot of these rapid and complex metabolic perturbations. The application of metabolomics and lipidomics to map the metabolic responses to an acute bout of aerobic/endurance or resistance exercise has dramatically expanded over the past decade thanks to major analytical advancements, with most exercise-related studies to date focused on analyzing human biofluids and tissues. Experimental and analytical con-siderations, as well as complementary studies using animal model …


Sensing Of Surface And Bulk Refractive Index Using Magnetophotonic Crystal With Hybrid Magneto-Optical Response, Daria Ignatyeva, Pavel Kapralov, Polina Golovko, Polina Shilina, Anastasiya Khramova, Sergey Sekatskii, Mohammad Nur-E-Alam, Kamal Alameh, Mikhail Vasiliev, Andrey Kalish, Vladimir Belotelov Jan 2021

Sensing Of Surface And Bulk Refractive Index Using Magnetophotonic Crystal With Hybrid Magneto-Optical Response, Daria Ignatyeva, Pavel Kapralov, Polina Golovko, Polina Shilina, Anastasiya Khramova, Sergey Sekatskii, Mohammad Nur-E-Alam, Kamal Alameh, Mikhail Vasiliev, Andrey Kalish, Vladimir Belotelov

Research outputs 2014 to 2021

We propose an all-dielectric magneto-photonic crystal with a hybrid magneto-optical response that allows for the simultaneous measurements of the surface and bulk refractive index of the analyzed substance. The approach is based on two different spectral features of the magneto-optical response corresponding to the resonances in p-and s-polarizations of the incident light. Angular spectra of p-polarized light have a step-like behavior near the total internal reflection angle which position is sensitive to the bulk refractive index. S-polarized light excites the TE-polarized optical Tamm surface mode localized in a submicron region near the photonic crystal surface and is sensitive to the …


Experimental Investigation And Comparison Of The Thermal Performance Of Additively And Conventionally Manufactured Heat Exchangers, Ana Vafadar, Ferdinando Guzzomi, Kevin Hayward Jan 2021

Experimental Investigation And Comparison Of The Thermal Performance Of Additively And Conventionally Manufactured Heat Exchangers, Ana Vafadar, Ferdinando Guzzomi, Kevin Hayward

Research outputs 2014 to 2021

Air heat exchangers (HXs) are applicable in many industrial sectors because they offer a simple, reliable, and cost-effective cooling system. Additive manufacturing (AM) systems have sig-nificant potential in the construction of high-efficiency, lightweight HXs; however, HXs still mainly rely on conventional manufacturing (CM) systems such as milling, and brazing. This is due to the fact that little is known regarding the effects of AM on the performance of AM fabricated HXs. In this research, three air HXs comprising of a single fin fabricated from stainless steel 316 L using AM and CM methods—i.e., the HXs were fabricated by both direct …


High Commitment Hrm And Burnout Of Frontline Food Service Employees: A Moderated Mediation Model, Stephen T. Teo, Diep T. N. Nguyen, Azadeh Shafaei, Tim Bentley Jan 2021

High Commitment Hrm And Burnout Of Frontline Food Service Employees: A Moderated Mediation Model, Stephen T. Teo, Diep T. N. Nguyen, Azadeh Shafaei, Tim Bentley

Research outputs 2014 to 2021

Purpose:

Drawing from the Job Demands-Resources (JD-R) framework and Conservation of Resources (COR) theory, the authors’ study examines the impact of high commitment HR management (HCHRM) practices and psychological capital (PsyCap) on job autonomy and job demands in predicting burnout in frontline food service employees.

Design/methodology/approach:

A moderated mediation model was developed and tested on 257 Australian workers employed in the food service industry. Hypotheses were tested using structural equation modeling.

Findings:

There was support for the mediation effect of HCHRM on burnout, via two sequential mediators: job autonomy and job demands. PsyCap was found to buffer (moderation) the effect …


Hospital Staff, Volunteers’ And Patients’ Perceptions Of Barriers And Facilitators To Communication Following Stroke In An Acute And A Rehabilitation Private Hospital Ward: A Qualitative Description Study, Sarah D'Souza, Erin Godecke, Natalie Ciccone, Deborah J. Hersh, Heidi Janssen, Elizabeth Armstrong Jan 2021

Hospital Staff, Volunteers’ And Patients’ Perceptions Of Barriers And Facilitators To Communication Following Stroke In An Acute And A Rehabilitation Private Hospital Ward: A Qualitative Description Study, Sarah D'Souza, Erin Godecke, Natalie Ciccone, Deborah J. Hersh, Heidi Janssen, Elizabeth Armstrong

Research outputs 2014 to 2021

Objectives

To explore barriers and facilitators to patient communication in an acute and rehabilitation ward setting from the perspectives of hospital staff, volunteers and patients following stroke.

Design

A qualitative descriptive study as part of a larger study which aimed to develop and test a Communication Enhanced Environment model in an acute and a rehabilitation ward.

Setting

A metropolitan Australian private hospital.

Participants

Focus groups with acute and rehabilitation doctors, nurses, allied health staff and volunteers (n=51), and interviews with patients following stroke (n=7), including three with aphasia, were conducted.

Results

The key themes related to barriers and facilitators to …


What Is Complexity? Grammatical Issues In Assignment Prompts, Anne Thwaite, Fiona Budgen, Janet Hunter, Kuki Singh Jan 2021

What Is Complexity? Grammatical Issues In Assignment Prompts, Anne Thwaite, Fiona Budgen, Janet Hunter, Kuki Singh

Research outputs 2014 to 2021

Student performance on assignments is of growing international concern. Some of the difficulties that students have with crafting their university assignments are due to the demonstrated complexity of academic writing in different text types. Previous work in this area has mostly examined complexity at the sentence and clause level; however, more recent studies indicate that complexity at the level of the group or phrase, in particular the nominal group, may cause more of a problem for students. In addressing this issue, we take a descriptive approach to examining a corpus of assignment instructions from a Bachelor of Education program at …


The Power Of The Individual Voice: Interrogating Continuity At A Time When The Open Communication Of Research Is Disrupted By Unruly Speakers And Publics, Lelia Green, Viet Tho Le Jan 2021

The Power Of The Individual Voice: Interrogating Continuity At A Time When The Open Communication Of Research Is Disrupted By Unruly Speakers And Publics, Lelia Green, Viet Tho Le

Research outputs 2014 to 2021

Hyperconnected societies offer new opportunities for the role of the individual voice. A deregulated world of information poses a paradox, however, in which fake news might conceivably underpin the political agenda more than informed research. The sheer amount of information available forces publics and audience members to seek shortcuts to knowledge through access to preferred academic, public intellectual or ‘thought leader’ perspectives. Drawing upon theories of deliberative democracy and open communication, this paper critiques the roles of academic, public intellectual and thought leader to move beyond discussion of the value of individual voices in the sharing of knowledge. It suggests …


Meta-Analysis Of Genome-Wide Dna Methylation Identifies Shared Associations Across Neurodegenerative Disorders, Marta F. Nabais, Simon M. Laws, Tian Lin, Costanza L. Vallerga, Nicola J. Armstrong, Ian P. Blair, John B. Kwok, Karen A. Mather, George D. Mellick, Perminder S. Sachdev, Leanne Wallace, Anjali K. Henders, Ramona A. J. Zwamborn, Paul J. Hop, Katie Lunnon, Ehsan Pishva, Janou A. Y. Roubroeks, Hilkka Soininen, Magda Tsolaki, Patrizia Mecocci, Simon Lovestone, Iwona Kłoszewska, Bruno Vellas, Sarah Furlong, Fleur C. Garton, Robert D. Henderson, Susan Mathers, Pamela A. Mccombe, Merrilee Needham, Shyuan T. Ngo, Garth Nicholson, Roger Pamphlett, Dominic B. Rowe, Frederik J. Steyn, Kelly L. Williams, Tim J. Anderson, Steven R. Bentley, John Dalrymple-Alford, Javed Fowder, Jacob Gratten, Glenda Halliday, Ian B. Hickie, Martin Kennedy, Simon J. G. Lewis, Grant W. Montgomery, John Pearson, Toni L. Pitcher, Peter Silburn, Futao Zhang, Peter M. Visscher, Jian Yang, Anna J. Stevenson, Robert F. Hillary, Riccardo E. Marioni, Sarah E. Harris, Ian J. Deary, Ashley R. Jones, Aleksey Shatunov, Alfredo Iacoangeli, Wouter Van Rheenen, Leonard H. Van Den Berg, Pamela J. Shaw, Cristopher E. Shaw, Karen E. Morrison, Ammar Al-Chalabi, Jan H. Veldink, Eilis Hannon, Jonathan Mill, Naomi R. Wray, Allan F. Mcrae, The Alzheimer's Disease Neuroimaging Initiative, The Australian Imaging Biomarkers And Lifestyle Study Jan 2021

Meta-Analysis Of Genome-Wide Dna Methylation Identifies Shared Associations Across Neurodegenerative Disorders, Marta F. Nabais, Simon M. Laws, Tian Lin, Costanza L. Vallerga, Nicola J. Armstrong, Ian P. Blair, John B. Kwok, Karen A. Mather, George D. Mellick, Perminder S. Sachdev, Leanne Wallace, Anjali K. Henders, Ramona A. J. Zwamborn, Paul J. Hop, Katie Lunnon, Ehsan Pishva, Janou A. Y. Roubroeks, Hilkka Soininen, Magda Tsolaki, Patrizia Mecocci, Simon Lovestone, Iwona Kłoszewska, Bruno Vellas, Sarah Furlong, Fleur C. Garton, Robert D. Henderson, Susan Mathers, Pamela A. Mccombe, Merrilee Needham, Shyuan T. Ngo, Garth Nicholson, Roger Pamphlett, Dominic B. Rowe, Frederik J. Steyn, Kelly L. Williams, Tim J. Anderson, Steven R. Bentley, John Dalrymple-Alford, Javed Fowder, Jacob Gratten, Glenda Halliday, Ian B. Hickie, Martin Kennedy, Simon J. G. Lewis, Grant W. Montgomery, John Pearson, Toni L. Pitcher, Peter Silburn, Futao Zhang, Peter M. Visscher, Jian Yang, Anna J. Stevenson, Robert F. Hillary, Riccardo E. Marioni, Sarah E. Harris, Ian J. Deary, Ashley R. Jones, Aleksey Shatunov, Alfredo Iacoangeli, Wouter Van Rheenen, Leonard H. Van Den Berg, Pamela J. Shaw, Cristopher E. Shaw, Karen E. Morrison, Ammar Al-Chalabi, Jan H. Veldink, Eilis Hannon, Jonathan Mill, Naomi R. Wray, Allan F. Mcrae, The Alzheimer's Disease Neuroimaging Initiative, The Australian Imaging Biomarkers And Lifestyle Study

Research outputs 2014 to 2021

Background: People with neurodegenerative disorders show diverse clinical syndromes, genetic heterogeneity, and distinct brain pathological changes, but studies report overlap between these features. DNA methylation (DNAm) provides a way to explore this overlap and heterogeneity as it is determined by the combined effects of genetic variation and the environment. In this study, we aim to identify shared blood DNAm differences between controls and people with Alzheimer’s disease, amyotrophic lateral sclerosis, and Parkinson’s disease. Results: We use a mixed-linear model method (MOMENT) that accounts for the effect of (un)known confounders, to test for the association of each DNAm site with each …


An Investigation Of Students Algebraic Proficiency From A Structure Sense Perspective, Al Jupri, Ririn Sispiyati, Kin Eng Chin Jan 2021

An Investigation Of Students Algebraic Proficiency From A Structure Sense Perspective, Al Jupri, Ririn Sispiyati, Kin Eng Chin

Research outputs 2014 to 2021

Structure sense can be interpreted as an intuitive ability towards symbolic expressions, including skills to perceive, to interpret, and to manipulate symbols in different roles. This ability shows student algebraic proficiency in dealing with various symbolic expressions and is considered important to be mastered by secondary school students for advanced study or professional work. This study, therefore, aims to investigate students algebraic proficiency in terms of structure sense. To reach this aim, we set up a qualitative case study with the following three steps. First, after conducting a literature study, we designed structure sense tasks according to structure sense characteristics …


A Secured Message Transmission Protocol For Vehicular Ad Hoc Networks, A. F. M. Suaib Akhter, A. F. M. Shahen Shah, Mohiuddin Ahmed, Nour Moustafa, Unal Çavuşoğlu, Ahmet Zengin Jan 2021

A Secured Message Transmission Protocol For Vehicular Ad Hoc Networks, A. F. M. Suaib Akhter, A. F. M. Shahen Shah, Mohiuddin Ahmed, Nour Moustafa, Unal Çavuşoğlu, Ahmet Zengin

Research outputs 2014 to 2021

Vehicular Ad hoc Networks (VANETs) become a very crucial addition in the Intelligent Transportation System (ITS). It is challenging for a VANET system to provide security services and parallelly maintain high throughput by utilizing limited resources. To overcome these challenges, we propose a blockchain-based Secured Cluster-based MAC (SCB-MAC) protocol. The nearby vehicles heading towards the same direction will form a cluster and each of the clusters has its blockchain to store and distribute the safety messages. The message which contains emergency information and requires Strict Delay Requirement (SDR) for transmission are called safety messages (SM). Cluster Members (CMs) sign SMs …


Circulating Tumor Dna Reflects Uveal Melanoma Responses To Protein Kinase C Inhibition, John J. Park, Russell J. Diefenbach, Natalie Byrne, Georgina V. Long, Richard A. Scolyer, Elin S. Gray, Matteo S. Carlino, Helen Rizos Jan 2021

Circulating Tumor Dna Reflects Uveal Melanoma Responses To Protein Kinase C Inhibition, John J. Park, Russell J. Diefenbach, Natalie Byrne, Georgina V. Long, Richard A. Scolyer, Elin S. Gray, Matteo S. Carlino, Helen Rizos

Research outputs 2014 to 2021

The prognosis for patients with UM is poor, and recent clinical trials have failed to prolong overall survival (OS) of these patients. Over 95% of UM harbor activating driver mutations, and this allows for the investigation of ctDNA. In this study, we investigated the value of ctDNA for adaptive clinical trial design in metastatic UM. Longitudinal plasma samples were analyzed for ctDNA in 17 metastatic UM patients treated with PKCi-based therapy in a phase 1 clinical trial setting. Plasma ctDNA was assessed using digital droplet PCR (ddPCR) and a custom melanoma gene panel for targeted next generation sequencing (NGS). Baseline …


Deep Learning Versus Spectral Techniques For Frequency Estimation Of Single Tones: Reduced Complexity For Software-Defined Radio And Iot Sensor Communications, Hind R. Almayyali, Zahir M. Hussain Jan 2021

Deep Learning Versus Spectral Techniques For Frequency Estimation Of Single Tones: Reduced Complexity For Software-Defined Radio And Iot Sensor Communications, Hind R. Almayyali, Zahir M. Hussain

Research outputs 2014 to 2021

Despite the increasing role of machine learning in various fields, very few works considered artificial intelligence for frequency estimation (FE). This work presents comprehensive analysis of a deep-learning (DL) approach for frequency estimation of single tones. A DL network with two layers having a few nodes can estimate frequency more accurately than well-known classical techniques can. While filling the gap in the existing literature, the study is comprehensive, analyzing errors under different signal-to-noise ratios (SNRs), numbers of nodes, and numbers of input samples under missing SNR information. DL-based FE is not significantly affected by SNR bias or number of nodes. …


Classification Of Skin Disease Using Deep Learning Neural Networks With Mobilenet V2 And Lstm, Parvathaneni N. Srinivasu, Jalluri G. Siva Sai, Muhammad F. Ijaz, Akash K. Bhoi, Wonjoon Kim, James J. Kang Jan 2021

Classification Of Skin Disease Using Deep Learning Neural Networks With Mobilenet V2 And Lstm, Parvathaneni N. Srinivasu, Jalluri G. Siva Sai, Muhammad F. Ijaz, Akash K. Bhoi, Wonjoon Kim, James J. Kang

Research outputs 2014 to 2021

Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process of classifying skin disease through deep learning-based MobileNet V2 and Long Short Term Memory (LSTM). The MobileNet V2 model proved to be efficient with a better accuracy that can work on lightweight computational devices. The proposed model is efficient in maintaining stateful information for precise predictions. A grey-level co-occurrence matrix is used for assessing the progress of diseased growth. The performance has been compared against other state-of-the-art models such as Fine-Tuned Neural Networks (FTNN), Convolutional Neural Network (CNN), …


Infrequent Pattern Detection For Reliable Network Traffic Analysis Using Robust Evolutionary Computation, A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Al-Sakib K. Pathan Jan 2021

Infrequent Pattern Detection For Reliable Network Traffic Analysis Using Robust Evolutionary Computation, A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Al-Sakib K. Pathan

Research outputs 2014 to 2021

While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of infrequent patterns is computationally expensive. Cybersecurity datasets consist of many features, mostly irrelevant, resulting in lower classification performance by machine learning algorithms. Hence, a feature selection (FS) approach, i.e., selecting relevant features only, is an essential preprocessing step in cybersecurity data analysis. Despite many FS approaches proposed in the literature, cooperative co-evolution (CC)-based FS approaches can be more suitable for cybersecurity data preprocessing considering the Big Data scenario. Accordingly, in this paper, we have …


Association Of Genetic Variances In Adrb1 And Ppargc1a With Two-Kilometre Running Time-Trial Performance In Australian Football League Players: A Preliminary Study, Ysabel Jacob, Ryan S. Anderton, Jodie L. Cochrane Wilkie, Brent Rogalski, Simon M. Laws, Anthony Jones, Tania Spiteri, Nicolas H. Hart Jan 2021

Association Of Genetic Variances In Adrb1 And Ppargc1a With Two-Kilometre Running Time-Trial Performance In Australian Football League Players: A Preliminary Study, Ysabel Jacob, Ryan S. Anderton, Jodie L. Cochrane Wilkie, Brent Rogalski, Simon M. Laws, Anthony Jones, Tania Spiteri, Nicolas H. Hart

Research outputs 2014 to 2021

Abstract: Genetic variants in the angiotensin-converting enzyme (ACE) (rs4343), alpha-actinin-3 (ACTN3) (rs1815739), adrenoceptor-beta-1 (ADRB1) (rs1801253), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A) (rs8192678) genes have previously been associated with elite athletic performance. This study assessed the influence of polymorphisms in these candidate genes towards endurance test performance in 46 players from a single Australian Football League (AFL) team. Each player provided saliva buccal swab samples for DNA analysis and genotyping and were required to perform two independent two-kilometre running time-trials, six weeks apart. Linear mixed models were created to account for repeated measures over time and to determine whether …


Functional Maturation Of Immature Β Cells: A Roadblock For Stem Cell Therapy For Type 1 Diabetes, Zi-Yi Sun, Ting-Yan Yu, Fang-Xu Jiang, Wei Wang Jan 2021

Functional Maturation Of Immature Β Cells: A Roadblock For Stem Cell Therapy For Type 1 Diabetes, Zi-Yi Sun, Ting-Yan Yu, Fang-Xu Jiang, Wei Wang

Research outputs 2014 to 2021

Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease caused by the specific destruction of pancreatic islet β cells and is characterized as the absolute insufficiency of insulin secretion. Current insulin replacement therapy supplies insulin in a non-physiological way and is associated with devastating complications. Experimental islet transplantation therapy has been proven to restore glucose homeostasis in people with severe T1DM. However, it is restricted by many factors such as severe shortage of donor sources, progressive loss of donor cells, high cost, etc. As pluripotent stem cells have the potential to give rise to all cells including islet β …


Using Exercise And Nutrition To Alter Fat And Lean Mass In Men With Prostate Cancer Receiving Androgen Deprivation Therapy: A Narrative Review, Rebekah L. Wilson, Dennis R. Taaffe, Robert U. Newton, Nicolas H. Hart, Philippa Lyons-Wall, Daniel A. Galvao Jan 2021

Using Exercise And Nutrition To Alter Fat And Lean Mass In Men With Prostate Cancer Receiving Androgen Deprivation Therapy: A Narrative Review, Rebekah L. Wilson, Dennis R. Taaffe, Robert U. Newton, Nicolas H. Hart, Philippa Lyons-Wall, Daniel A. Galvao

Research outputs 2014 to 2021

Fat mass (FM) gain and lean mass (LM) loss are common side effects for patients with prostate cancer receiving androgen deprivation therapy (ADT). Excess FM has been associated with an increased risk of developing obesity-related comorbidities, exacerbating prostate cancer progression, and all-cause and cancer-specific mortality. LM is the predominant contributor to resting metabolic rate, with any loss impacting long-term weight management as well as physical function. Therefore, reducing FM and preserving LM may improve patient-reported outcomes, risk of disease progression, and ameliorate comorbidity development. In ADT-treated patients, exercise and nutrition programs can lead to improvements in quality of life and …


Flavonoid Intake And Incident Dementia In The Danish Diet, Cancer, And Health Cohort, Catherine P. Bondonno, Nicola P. Bondonno, Frederik Dalgaard, Kevin Murray, Samantha L. Gardener, Ralph N. Martins, Stephanie R. Rainey-Smith, Aedín Cassidy, Joshua R. Lewis, Kevin D. Croft, Cecilie Kyrø, Gunnar Gislason, Augustin Scalbert, Anne Tjønneland, Kim Overvad, Jonathan M. Hodgson Jan 2021

Flavonoid Intake And Incident Dementia In The Danish Diet, Cancer, And Health Cohort, Catherine P. Bondonno, Nicola P. Bondonno, Frederik Dalgaard, Kevin Murray, Samantha L. Gardener, Ralph N. Martins, Stephanie R. Rainey-Smith, Aedín Cassidy, Joshua R. Lewis, Kevin D. Croft, Cecilie Kyrø, Gunnar Gislason, Augustin Scalbert, Anne Tjønneland, Kim Overvad, Jonathan M. Hodgson

Research outputs 2014 to 2021

No abstract provided.


Vegetable Nitrate Intake, Blood Pressure And Incident Cardiovascular Disease: Danish Diet, Cancer, And Health Study, Catherine P. Bondonno, Frederik Dalgaard, Lauren C. Blekkenhorst, Kevin Murray, Joshua R. Lewis, Kevin D. Croft, Cecilie Kyrø, Christian Torp-Pedersen, Gunnar Gislason, Anne Tjønneland, Kim Overvad, Nicola P. Bondonno, Jonathan M. Hodgson Jan 2021

Vegetable Nitrate Intake, Blood Pressure And Incident Cardiovascular Disease: Danish Diet, Cancer, And Health Study, Catherine P. Bondonno, Frederik Dalgaard, Lauren C. Blekkenhorst, Kevin Murray, Joshua R. Lewis, Kevin D. Croft, Cecilie Kyrø, Christian Torp-Pedersen, Gunnar Gislason, Anne Tjønneland, Kim Overvad, Nicola P. Bondonno, Jonathan M. Hodgson

Research outputs 2014 to 2021

Whether the vascular effects of inorganic nitrate, observed in clinical trials, translate to a reduction in cardiovascular disease (CVD) with habitual dietary nitrate intake in prospective studies warrants investigation. We aimed to determine if vegetable nitrate, the major dietary nitrate source, is associated with lower blood pressure (BP) and lower risk of incident CVD. Among 53,150 participants of the Danish Diet, Cancer, and Health Study, without CVD at baseline, vegetable nitrate intake was assessed using a comprehensive vegetable nitrate database. Hazard ratios (HRs) were calculated using restricted cubic splines based on multivariable-adjusted Cox proportional hazards models. During 23 years of …


Educational Outcomes Of Adolescents Participating In Specialist Sport Programs In Low Ses Areas Of Western Australia: A Mixed Methods Study, Eibhlish O'Hara, Craig Harms, Fadi Ma'ayah, Craig Speelman Jan 2021

Educational Outcomes Of Adolescents Participating In Specialist Sport Programs In Low Ses Areas Of Western Australia: A Mixed Methods Study, Eibhlish O'Hara, Craig Harms, Fadi Ma'ayah, Craig Speelman

Research outputs 2014 to 2021

Specialist Sport Programs (SSPs) are an underexamined activity that combines the best features of two different contexts for adolescent development: a sporting program and a secondary school. A mixed-methods study was conducted to determine the influence of participation in SSPs on the educational outcomes of lower secondary students in Western Australia. The results demonstrated a significant improvement in specialist students' mean grade for Mathematics over the course of a year, while their mean grade for all other subjects, and their level of engagement with school, remained stable over the same period of time. Semi-structured interviews were also conducted with key …


A Novel Augmented Deep Transfer Learning For Classification Of Covid-19 And Other Thoracic Diseases From X-Rays, Fouzia Atlaf, Syed M. S. Islam, Naeem K. Janjua Jan 2021

A Novel Augmented Deep Transfer Learning For Classification Of Covid-19 And Other Thoracic Diseases From X-Rays, Fouzia Atlaf, Syed M. S. Islam, Naeem K. Janjua

Research outputs 2014 to 2021

Deep learning has provided numerous breakthroughs in natural imaging tasks. However, its successful application to medical images is severely handicapped with the limited amount of annotated training data. Transfer learning is commonly adopted for the medical imaging tasks. However, a large covariant shift between the source domain of natural images and target domain of medical images results in poor transfer learning. Moreover, scarcity of annotated data for the medical imaging tasks causes further problems for effective transfer learning. To address these problems, we develop an augmented ensemble transfer learning technique that leads to significant performance gain over the conventional transfer …


Hydrogen Adsorption On Sub-Bituminous Coal: Implications For Hydrogen Geo-Storage, Sefan Iglauer, Hussein Abid, Ahmed Z. Al-Yaseri, Alireza Keshavarz Jan 2021

Hydrogen Adsorption On Sub-Bituminous Coal: Implications For Hydrogen Geo-Storage, Sefan Iglauer, Hussein Abid, Ahmed Z. Al-Yaseri, Alireza Keshavarz

Research outputs 2014 to 2021

Hydrogen is a clean fuel that can potentially revolutionize the energy supply chain and decarbonize fuel consumption. However, a key hurdle that needs to be overcome before a full-scale hydrogen economy can be established is hydrogen storage which is currently the main limitation. Here, we propose that hydrogen gas can be stored in underground coal seams, where it adsorbs on the coal surface. However, currently, no hard data related to such a procedure exists. We, therefore, demonstrate experimentally that significant amounts of hydrogen gas can be stored via this route. Hydrogen adsorption capacities reached 0.6 moles H2/kg of …


Impacts Of Traverse Speed And Material Thickness On Abrasive Waterjet Contour Cutting Of Austenitic Stainless Steel Aisi 304l, Jennifer Milaor Llanto, Majid Tolouei Rad, Ana Vafadar, Muhammad Aamir Jan 2021

Impacts Of Traverse Speed And Material Thickness On Abrasive Waterjet Contour Cutting Of Austenitic Stainless Steel Aisi 304l, Jennifer Milaor Llanto, Majid Tolouei Rad, Ana Vafadar, Muhammad Aamir

Research outputs 2014 to 2021

Abrasive water jet machining is a proficient alternative for cutting difficult-to-machine materials with complex geometries, such as austenitic stainless steel 304L (AISI304L). However, due to differences in machining responses for varied material conditions, the abrasive waterjet machining experiences challenges including kerf geometric inaccuracy and low material removal rate. In this study, an abrasive waterjet machining is employed to perform contour cutting of different profiles to investigate the impacts of traverse speed and material thickness in achieving lower kerf taper angle and higher material removal rate. Based on experimental investigation, a trend of decreasing the level of traverse speed and material …


Educative Power And The Respectful Curricular Inclusion Of Aboriginal And Torres Strait Islander Music, Michael Webb, Clint Bracknell Jan 2021

Educative Power And The Respectful Curricular Inclusion Of Aboriginal And Torres Strait Islander Music, Michael Webb, Clint Bracknell

Research outputs 2014 to 2021

This chapter argues for the full, respectful curricular inclusion of Aboriginal and Torres Strait Islander music in order to promote a more balanced and equitable social and cultural vision of the nation-state in Australian schools. It challenges views that claim Indigenous cultures have been irretrievably lost or are doomed to extinction, as well as the fixation on musical authenticity. We propose that the gradual broadening of Indigenous musical expressions over time and the musical renaissance of the new millennium have created an unprecedented opportunity for current music educators to experience the educative power of Aboriginal and Torres Strait Islander music. …


Exercise Medicine In The Management Of Pancreatic Cancer: A Systematic Review, Hao Luo, Daniel A. Galvão, Robert U. Newton, Pedro Lopez Da Cruz, Colin Tang, Ciaran M. Fairman, Nigel Spry, Dennis R. Taaffe Jan 2021

Exercise Medicine In The Management Of Pancreatic Cancer: A Systematic Review, Hao Luo, Daniel A. Galvão, Robert U. Newton, Pedro Lopez Da Cruz, Colin Tang, Ciaran M. Fairman, Nigel Spry, Dennis R. Taaffe

Research outputs 2014 to 2021

The aim of this study was to examine the health-related effects of exercise in patients with pancreatic cancer (PanCa) through a systematic review of current evidence. Studies were obtained through searching PubMed, Web of Science, PsycINFO, Embase, CINAHL Plus, and Cochrane Library databases with additional hand searches. All intervention-based studies were included if it involved (1) adult patients with PanCa, (2) exercise training, and (3) findings in quality of life, cancer-related fatigue, psychological distress, and physical function. The review protocol was registered in PROSPERO: CRD42020154684. Seven trials described in 9 publications were included consisting of 201 patients with early-stage and …


Association Of Β-Amyloid Level, Clinical Progression And Longitudinal Cognitive Change In Normal Older Individuals, Laura M. Van Der Krall, Thanh Truong, Samantha C. Burnham, Vincent Doré, Rachel S. Mulligan, Svetlana Bozinovski, Fiona Lamb, Pierrick Bourgeat, Jurgen Fripp, Stephanie Schultz, Yen Y. Lim, Simon M. Laws, David Ames, Christopher Fowler, Stephanie R. Rainey-Smith, Ralph N. Martins, Olivier Salvado, Joanne Robertson, Paul Maruff, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe Jan 2021

Association Of Β-Amyloid Level, Clinical Progression And Longitudinal Cognitive Change In Normal Older Individuals, Laura M. Van Der Krall, Thanh Truong, Samantha C. Burnham, Vincent Doré, Rachel S. Mulligan, Svetlana Bozinovski, Fiona Lamb, Pierrick Bourgeat, Jurgen Fripp, Stephanie Schultz, Yen Y. Lim, Simon M. Laws, David Ames, Christopher Fowler, Stephanie R. Rainey-Smith, Ralph N. Martins, Olivier Salvado, Joanne Robertson, Paul Maruff, Colin L. Masters, Victor L. Villemagne, Christopher C. Rowe

Research outputs 2014 to 2021

Objective To determine the effect of β-amyloid (Aβ) level on progression risk to mild cognitive impairment (MCI) or dementia and longitudinal cognitive change in cognitively normal (CN) older individuals. Methods All CN from the Australian Imaging Biomarkers and Lifestyle study with Aβ PET and ≥ 3 years follow-up were included (n = 534; age 72 ± 6 years; 27% Aβ positive; follow-up 5.3 ± 1.7 years). Aβ level was divided using the standardized 0–100 Centiloid scale: < 15 CL negative, 15–25 CL uncertain, 26–50 CL moderate, 51–100 CL high, > 100 CL very high, noting > 25 CL approximates a positive scan. Cox proportional hazards analysis and linear mixed effect models were used to assess …


A Narrative Review Of The Pharmacological, Cultural And Psychological Literature On Ibogaine, Martie S. Underwood, Stephen J. Bright, B. Les Lancaster Jan 2021

A Narrative Review Of The Pharmacological, Cultural And Psychological Literature On Ibogaine, Martie S. Underwood, Stephen J. Bright, B. Les Lancaster

Research outputs 2014 to 2021

Ibogaine is a psychoactive alkaloid contained in the West African plant Tabernanthe iboga. Although preliminary, evidence suggests that ibogaine could be effective in the treatment of certain substance use disorders, specifically opioid use disorder. This narrative review concentrated on the pharmacological, cultural and psychological aspects of ibogaine that contribute to its reputed effectiveness with a specific focus on the ibogaine state of consciousness. Although the exact pharmacological mechanisms for ibogaine are still speculative, the literature highlighted its role as an NMDA antagonist in the effective treatment of substance use disorders. The cultural aspects associated with the use of ibogaine pose …