Digital Commons Network^™

Going Beyond: Cyber Security Curriculum In Western Australian Primary And Secondary Schools. Final Report, Nicola F. Johnson, Ahmed Ibrahim, Leslie Sikos, Marnie Mckee

Research outputs 2022 to 2026

There is no doubt cyber security is of national interest given the rife nature of cyber crime and the alarming increase of victims who have endured identify theft, fraud and scams. Curriculum within K-12 schools tends to be fixed and any modifications are subject to extensive consultation within a prolonged review cycle. Therefore, this report has gone beyond curriculum to explore the potential of national awareness campaigns and dynamic digital cyber security licences as alternative possibilities for instigation. The role of leaders in various school sectors and systems is critical for a successful roll out. This final report culminates from …

Seagrass Soils Sequester Up To Half The Metal Emissions Of One Of The World's Largest Smelters, Anna Lafratta, Oscar Serrano, Pere Masque´, M. Fernandes, S. Gaylard, Paul Lavery

Research outputs 2022 to 2026

One of the world's largest smelters has been operating in South Australia since 1889, affecting environment and human health. Here we quantified the magnitude of Pb, Zn and Cd emissions from the smelter sequestered in the soil of an adjacent 110 km2 Posidonia australis seagrass meadows. Seagrass core records show that the smelter contaminated the entire area with decreasing sequestration with increasing distance from contamination points. The soil accumulated ~1300 t of Pb, ~3450 t of Zn, and ~ 90 t of Cd since 1889, and sequestered the equivalent of ~20 % of Pb, and ~50 % of Zn and …

Global Online Trade In Primates For Pets, Vincent Nijman, Thais Q. Morcatty, Hani R. El Bizri, Hassan Al-Razi, Andie Ang, Ahmad Ardiansyah, Sadek Atoussi, Daniel Bergin, Sarah Bell, Franciany Braga-Pereira, Marco Campera, Nabajit Das, Felipe E. Silva, Kim Feddema, Grace Foreman, Anna Fourage, Smitha D. Gnanaolivu, Malene F. Hansen, Elena Račevska, Brittany C. Rapone, Ganga R. Regmi, Chris R. Shepherd, Sofiya Shukhova, Penthai Siriwat, Jaima H. Smith, Seyed A. M. M. Tabar, Aline S. Tavares, Ariana V. Weldon, Angelina Wilson, Nobuyuki Yamaguchi, Mingxia Zhang, Magdalena S. Svensson, K. Anne-Isola Nekaris

Research outputs 2022 to 2026

The trade in primates as pets is a global enterprise and as access to the Internet has increased, so too has the trade of live primates online. While quantifying primate trade in physical markets is relatively straightforward, limited insights have been made into trade via the Internet. Here we followed a three-pronged approach to estimate the prevalence and ease of purchasing primates online in countries with different socioeconomic characteristics. We first conducted a literature review, in which we found that Malaysia, Thailand, the USA, Ukraine, South Africa, and Russia stood out in terms of the number of primate individuals being …

Employability For Inclusion: The Urgent Need For A Biopsychosocial Model Perspective, Mollie Dollinger, Tim Corcoran, Denise Jackson, Sarah O'Shea

Research outputs 2022 to 2026

Definitions of disability are changing, shifting from a narrow medical diagnosis to a biopsychosocial model of disability, where disability is conceptualised as a series of relational conditions that can potentially disadvantage individuals within environments. Implications of this new understanding of disability will have significant effects in the higher education sector, where there is increasing participation of disabled students. In this paper, we discuss one aspect of these implications through the topic of graduate employability. In doing so, we generate a new concept ‘Employability for Inclusion’ that can be utilised as an equity-focused lens for universities to consider how employability initiatives …

Generalized Framework For Image And Video Object Segmentation Using Affinity Learning And Message Passing Gnns, Sundaram Muthu, Ruwan Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar

Research outputs 2022 to 2026

Despite significant amount of work reported in the computer vision literature, segmenting images or videos based on multiple cues such as objectness, texture and motion, is still a challenge. This is particularly true when the number of objects to be segmented is not known or there are objects that are not classified in the training data (unknown objects). A possible remedy to this problem is to utilize graph-based clustering techniques such as Correlation Clustering. It is known that using long range affinities (Lifted multicut), makes correlation clustering more accurate than using only adjacent affinities (Multicut). However, the former is computationally …

Improved Yolov5-Based Real-Time Road Pavement Damage Detection In Road Infrastructure Management, Abdullah A. Sami, Saadman Sakib, Kaushik Deb, Iqbal H. Sarker

Research outputs 2022 to 2026

Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, making timely road repair difficult. This research showcases You Only Look Once version 5 (YOLOv5), the most commonly employed object detection model trained on the latest benchmark Road Damage Dataset, Road Damage Detection 2022 (RDD 2022). The RDD 2022 dataset includes four common types of road pavement damage, namely vertical cracks, horizontal cracks, alligator cracks, and potholes. This paper presents an improved deep neural network model based on YOLOv5 for …

Physical Layer Authenticated Image Encryption For Iot Network Based On Biometric Chaotic Signature For Mpfrft Ofdm System, Esam A. A. Hagras, Saad Aldosary, Haitham Khaled, Tarek Hassan

Research outputs 2022 to 2026

In this paper, a new physical layer authenticated encryption (PLAE) scheme based on the multi-parameter fractional Fourier transform–Orthogonal frequency division multiplexing (MP-FrFT-OFDM) is suggested for secure image transmission over the IoT network. In addition, a new robust multi-cascaded chaotic modular fractional sine map (MCC-MF sine map) is designed and analyzed. Also, a new dynamic chaotic biometric signature (DCBS) generator based on combining the biometric signature and the proposed MCC-MF sine map random chaotic sequence output is also designed. The final output of the proposed DCBS generator is used as a dynamic secret key for the MPFrFT OFDM system in which …

Artificial Intelligence And Precision Health Through Lenses Of Ethics And Social Determinants Of Health: Protocol For A State-Of-The-Art Literature Review, Sarah Wamala-Andersson, Matt X. Richardson, Sara Landerdahl Stridsberg, Jillian Ryan, Felix Sukums, Yong-Shian Goh

Research outputs 2022 to 2026

Background: Precision health is a rapidly developing field, largely driven by the development of artificial intelligence (AI)–related solutions. AI facilitates complex analysis of numerous health data risk assessment, early detection of disease, and initiation of timely preventative health interventions that can be highly tailored to the individual. Despite such promise, ethical concerns arising from the rapid development and use of AI-related technologies have led to development of national and international frameworks to address responsible use of AI. Objective: We aimed to address research gaps and provide new knowledge regarding (1) examples of existing AI applications and what role they play …

Heterogeneous Microstructure And Mechanical Behaviour Of Al-8.3fe-1.3v-1.8si Alloy Produced By Laser Powder Bed Fusion, S. J. Yu, P. Wang, H. C. Li, R. Setchi, M. W. Wu, Z. Y. Liu, Z. W. Chen, S. Waqar, Lai-Chang Zhang

Research outputs 2022 to 2026

The relationship between processing parameters, microstructure, and mechanical properties of Al-8.3Fe-1.3V-1.8Si alloy processed by laser powder bed fusion is seldom studied. Therefore, fully dense alloys with two parameters were selected to investigate this key issue. The results show that the alloy with low power and scanning speed (S200) shows fan-shell-shaped melt pools and laser tracks while another (S350) shows a deeper and wider melt pool. Both alloys obtain a heterogeneous microstructure without a secondary phase in melt pool (MP) and a nano-sized phase in melt pool boundary (MPB). The difference between solid-solution strengthening and Orowan strengthening in MP and MPB …

Raising Primary School Boys' And Girls' Awareness And Interest In Stem-Related Activities, Subjects, And Careers: An Exploratory Case Study, Natalie Mcmaster, Michael David Carey, David Allen Martin, Janet Martin

Research outputs 2022 to 2026

Internationally, there is an under-supply of intellectual capital to provide for STEM-related employment. One contributing factor is the low number of female students selecting STEM school subjects and careers. Despite the literature recommending students engage in STEM activities earlier, many initiatives are not implemented until high school. This paper reports on an Australian project named MindSET-do which provided students with early positive STEM experiences prior to high school to raise awareness of, interest in, and aspirations for STEM-related subjects and careers. The case study surveyed n = 107 Year 6 boys’ and girls’ interests, ability beliefs and expectations in STEM …

A Systematic Literature Review Of Between-Class Ability Grouping In Australia: Enduring Tensions, New Directions, Olivia Johnston, Becky Taylor

Research outputs 2022 to 2026

Ability grouping of students into separate classes within a school can be called ‘between-class ability grouping’. This practice has persisted in Australia despite evidence that it is socially inequitable and does not improve academic outcomes. A systematic review of peer-reviewed literature about between-class ability grouping in Australia from 2012-2022 reveals only N=28 papers that meet the inclusion criteria. These papers are critiqued and synthesised into four main findings that characterise Australian research about between-class ability grouping from 2012-2022. The findings reveal a lack of substantive inquiry with most studies having limited scope and drawing on outdated or overly generalised data. …

Identification And Validation Of Igg N-Glycosylation Biomarkers Of Esophageal Carcinoma, Huiying Pan, Zhiyuan Wu, Haiping Zhang, Jie Zhang, Yue Liu, Zhiwei Li, Wei Feng, Guiqi Wang, Yong Liu, Deli Zhao, Zhiyi Zhang, Yuqin Liu, Zhe Zhang, Xiangtong Liu, Lixin Tao, Yanxia Luo, Xiaonan Wang, Xinghua Yang, Feng Zhang, Xia Li, Xiuhua Guo

Research outputs 2022 to 2026

Introduction: Altered Immunoglobulin G (IgG) N-glycosylation is associated with aging, inflammation, and diseases status, while its effect on esophageal squamous cell carcinoma (ESCC) remains unknown. As far as we know, this is the first study to explore and validate the association of IgG N-glycosylation and the carcinogenesis progression of ESCC, providing innovative biomarkers for the predictive identification and targeted prevention of ESCC. Methods: In total, 496 individuals of ESCC (n=114), precancerosis (n=187) and controls (n=195) from the discovery population (n=348) and validation population (n=148) were recruited in the study. IgG N-glycosylation profile was analyzed and an ESCC-related glycan score was …

A Survey On Artificial Intelligence-Based Acoustic Source Identification, Ruba Zaheer, Iftekhar Ahmad, Daryoush Habibi, Kazi Y. Islam, Quoc Viet Phung

Research outputs 2022 to 2026

The concept of Acoustic Source Identification (ASI), which refers to the process of identifying noise sources has attracted increasing attention in recent years. The ASI technology can be used for surveillance, monitoring, and maintenance applications in a wide range of sectors, such as defence, manufacturing, healthcare, and agriculture. Acoustic signature analysis and pattern recognition remain the core technologies for noise source identification. Manual identification of acoustic signatures, however, has become increasingly challenging as dataset sizes grow. As a result, the use of Artificial Intelligence (AI) techniques for identifying noise sources has become increasingly relevant and useful. In this paper, we …

An Integrative Review Of Project Portfolio Management Literature: Thematic Findings On Sustainability Mindset, Assessment, And Integration, Masoud Aghajani, Gesa Ruge, Kam Jugdev

Research outputs 2022 to 2026

Sustainability integration in project portfolio management helps shape strategic, organizational, and project-based contexts. The authors conducted a structured literature review from 2000 to 2021 and developed a novel integrative framework presenting a holistic view highlighting three substantive research themes: sustainability mindset, sustainability assessment, and sustainability integration in project portfolio processes. Noteworthy progress has been made at the strategic and portfolio levels toward framing a sustainability mindset (definition, values, and principles) and developing frameworks/tools for sustainability assessment and project portfolio selection. However, areas for more research include integrating sustainability into project portfolio processes, reporting, and organizational learning for portfolio improvement.

Biofilm Formation On The Surface Of Monazite And Xenotime During Bioleaching, Arya Van Alin, Melissa K. Corbett, Homayoun Fathollahzadeh, M. Christian Tjiam, William D. A. Rickard, Xiao Sun, Andrew Putnis, Jacques Eksteen, Anna H. Kaksonen, Elizabeth Watkin

Research outputs 2022 to 2026

Microbial attachment and biofilm formation is a ubiquitous behaviour of microorganisms and is the most crucial prerequisite of contact bioleaching. Monazite and xenotime are two commercially exploitable minerals containing rare earth elements (REEs). Bioleaching using phosphate solubilizing microorganisms is a green biotechnological approach for the extraction of REEs. In this study, microbial attachment and biofilm formation of Klebsiella aerogenes ATCC 13048 on the surface of these minerals were investigated using confocal laser scanning microscopy (CLSM) and scanning electron microscopy (SEM). In a batch culture system, K. aerogenes was able to attach and form biofilms on the surface of three phosphate …

Catalytic Pollutant Upgrading To Dual-Asymmetric Mno2@Polymer Nanotubes As Self-Propelled And Controlled Micromotors For H2o2 Decomposition, Yangyang Yang, Kunsheng Hu, Zhong-Shuai Zhu, Yu Yao, Panpan Zhang, Peng Zhou, Pengwei Huo, Xiaoguang Duan, Hongqi Sun, Shaobin Wang

Research outputs 2022 to 2026

Industrial and disinfection wastewater typically contains high levels of organic pollutants and residue hydrogen peroxide, which have caused environmental concerns. In this work, dual-asymmetric MnO2@polymer microreactors are synthesized via pollutant polymerization for self-driven and controlled H2O2 decomposition. A hollow and asymmetric MnO2 nanotube is derived from MnO2 nanorods by selective acid etching and then coated by a polymeric layer from an aqueous phenolic pollutant via catalytic peroxymonosulfate (PMS)-induced polymerization. The evolution of particle-like polymers is controlled by solution pH, molar ratios of PMS/phenol, and reaction duration. The polymer-covered MnO2 tubing-structured micromotors presented a controlled motion velocity, due to the reverse …

Comparative Static And Dynamic Analyses Of Solvents For Removal Of Asphaltene And Wax Deposits Above- And Below-Surface At An Iranian Carbonate Oil Field, Milad Norouzpour, Amin Azdarpour, Rafael M. Santos, Ali Esfandiarian, Moein Nabipour, Erfan Mohammadian, Abbas K. Manshad, Alireza Keshavarz

Research outputs 2022 to 2026

During production from oil wells, the deposition of asphaltene and wax at surface facilities and porous media is one of the major operational challenges. The crude oil production rate is significantly reduced due to asphaltene deposition inside the reservoir. In addition, the deposition of these solids inside the surface facilities is costly to oil companies. In this study, the efficiency of different solvents in dissolving asphaltene and wax was investigated through static and dynamic tests. The analysis of solid deposits from the surface choke of one of the Iranian carbonate oil fields showed that they consisted of 41.3 wt % …

Corrigendum: Evolution, Ecology, And Zoonotic Transmission Of Betacoronaviruses: A Review, Herbert F. Jelinek, Mira Mousa, Eman Alefishat, Wael Osman, Ian Spence, Dengpan Bu, Samuel F. Feng, Jason Byrd, Paola A. Magni, Shafi Sahibzada, Guan K. Tay, Habiba S. Alsafar

Research outputs 2022 to 2026

In the published article, there was an error in the legend for Figure 1 as published. The figure legend did not indicate that it has been adapted from Plowright et al. (2017). Copyright permission was obtained from Springer Nature to adapt Figure 1 from Plowright et al. (2017). The corrected legend appears below. Figure 1. Zoonotic risk distribution, pathway to spillover, and the multimodal role of the determinants of spillover. The zoonotic risk is demonstrated by the accumulated distribution of reservoir hosts and vectors that play a role in the pathway to spillover. The risk of spillover is determined by …

Decline Of Seagrass (Posidonia Oceanica) Production Over Two Decades In The Face Of Warming Of The Eastern Mediterranean Sea, Victoria Litsi-Mizan, Pavlos T. Efthymiadis, Vasilis Gerakaris, Oscar Serrano, Manolis Tsapakis, Eugenia T. Apostolaki

Research outputs 2022 to 2026

* The response of Posidonia oceanica meadows to global warming of the Eastern Mediterranean Sea, where the increase in sea surface temperature (SST) is particularly severe, is poorly investigated. * Here, we reconstructed the long-term P. oceanica production in 60 meadows along the Greek Seas over two decades (1997–2018), using lepidochronology. We determined the effect of warming on production by reconstructing the annual and maximum (i.e. August) SST, considering the role of other production drivers related to water quality (i.e. Chla, suspended particulate matter, Secchi depth). * Grand mean (±SE) production across all sites and the study period was 48 …

Doa Estimation For Hybrid Massive Mimo Systems Using Mixed-Adcs: Performance Loss And Energy Efficiency, Baihua Shi, Qi Zhang, Rongen Dong, Qijuan Jie, Shihao Yan, Feng Shu, Jiangzhou Wang

Research outputs 2022 to 2026

Due to the power consumption and high circuit cost in antenna arrays, the practical application of massive multiple-input multiple-output (MIMO) in the sixth generation (6G) and future wireless networks is still challenging. Employing low-resolution analog-to-digital converters (ADCs) and hybrid analog and digital (HAD) structure is two low-cost choices with acceptable performance loss. In this paper, the combination of the mixed-ADC architecture and HAD structure employed at receiver is proposed for direction of arrival (DOA) estimation, which will be applied to the beamforming tracking and alignment in 6G. By adopting the additive quantization noise model, the exact closed-form expression of the …

Economic Evaluation Of The Very Early Rehabilitation In Speech (Verse) Intervention, J. Kim, G. Sookram, Erin Godecke, Emily Louise Brogan, Elizabeth Armstrong, F. Ellery, T. Rai, M. L. Rose, Natalie Ciccone, S. Middleton, A. Holland, G. J. Hankey, J. Bernhardt, D. A. Cadilhac

Research outputs 2022 to 2026

Introduction: There is limited evidence on the costs and outcomes of patients with aphasia after stroke. The aim of this study was to estimate costs in patients with aphasia after stroke according to the aphasia therapies provided.

Methods: A three-arm, prospective, randomized, parallel group, open-label, blinded endpoint assessment trial conducted in Australia and New Zealand. Usual ward-based care (Usual Care) was compared to additional usual ward-based therapy (Usual Care Plus) and a prescribed and structured aphasia therapy program in addition to Usual Care (the VERSE intervention). Information about healthcare utilization and productivity were collected to estimate costs in Australian dollars …

Edna Metabarcoding Of Avocado Flowers: ‘Hass’ It Got Potential To Survey Arthropods In Food Production Systems?, Joshua H. Kestel, Philip W. Bateman, David L. Field, Nicole E. White, Rose Lines, Paul Nevill

Research outputs 2022 to 2026

In the face of global biodiversity declines, surveys of beneficial and antagonistic arthropod diversity as well as the ecological services that they provide are increasingly important in both natural and agro-ecosystems. Conventional survey methods used to monitor these communities often require extensive taxonomic expertise and are time-intensive, potentially limiting their application in industries such as agriculture, where arthropods often play a critical role in productivity (e.g. pollinators, pests and predators). Environmental DNA (eDNA) metabarcoding of a novel substrate, crop flowers, may offer an accurate and high throughput alternative to aid in the detection of these managed and unmanaged taxa. Here, …

Further Investigation Of Lead Exposure As A Potential Threatening Process For A Scavenging Marsupial Species, D. J. Hutchinson, E. M. Jones, J. M. Pay, J. R. Clarke, Michael T. Lohr, J. O. Hampton

Research outputs 2022 to 2026

There is a growing recognition of the harmful effects of lead exposure on avian and mammalian scavengers. This can lead to both lethal and non-lethal effects which may negatively impact wildlife populations. Our objective was to assess medium-term lead exposure in wild Tasmanian devils (Sarcophilus harrisii). Frozen liver samples (n = 41), opportunistically collected in 2017–2022, were analysed using inductively coupled plasma mass spectrometry (ICP-MS) to determine liver lead concentrations. These results were then used to calculate the proportion of animals with elevated lead levels ( > 5 mg/kg dry weight) and examine the role of explanatory variables that may have …

Data From An International Multi-Centre Study Of Statistics And Mathematics Anxieties And Related Variables In University Students (The Smarvus Dataset), Jenny Terry, Robert M. Ross, Tamás Nagy, Mauricio Salgado, Patricia Garrido-Vásquez, Jacob O. Sarfo, Susan Cooper, Anke C. Buttner, Tiago J. S. Lima, İbrahim Öztürk, Nazli Akay, Flavia H. Santos, Christina Artemenko, Lee T. Copping, Mahmoud M. Elsherif, Ilija Milovanović, Robert A. Cribbie, Marina G. Drushlyak, Katherine Swainston, Yiyun Shou, Juan D. Leongómez, Nicola Palena, Fitri A. Abidin, Maria F. Reyes-Rodríguez, Yunfeng He, Juneman Abraham, Argiro Vatakis, Kristin Jankowsky, Stephanie N. L. Schmidt, Elise Grimm, Desirée González, Philipp Schmid, Roberto A. Ferreira, Dmitri Rozgonjuk, Neslihan Özhan, Patrick A. O'Connor, Andras N. Zsido, Gregor Stiglic, Darren Rhodes, Cristina Rodríguez, Ivan Ropovik, Violeta Enea, Ratri Nurwanti, Alejandro J. Estudillo, Nataly Beribisky, Karel K. Himawan, Linda M. Geven, Anne H. Van Hoogmoed, Amélie Bret, Jodie E. Chapman, Udi Alter, Zoe M. Flack, Donncha Hanna, Mojtaba Soltanlou, Gabriel Banik, Matúš Adamkovič, Sanne H. G. Van Der Ven, Jochen A. Mosbacher, Hilal H. Şen, Joel R. Anderson, Michael Batashvili, Kristel De Groot, Matthew O. Parker, Mai Helmy, Mariia M. Ostroha, Katie A. Gilligan-Lee, Felix O. Egara, Martin J. Barwood, Karuna Thomas, Grace Mcmahon, Siobhán M. Griffin, Hans-Christoph Nuerk, Alyssa Counsell, Oliver Lindemann, Dirk Van Rooy, Theresa E. Wege, Joanna E. Lewis, Balazs Aczel, Conal Monaghan, Ali H. Al-Hoorie, Julia F. Huber, Saadet Yapan, Mauricio E. Garrido Vásquez, Antonino Callea, Tolga Ergiyen, James M. Clay, Gaetan Mertens, Feyza Topçu, Merve G. Tutlu, Karin Täht, Kristel Mikkor, Letizia Caso, Alexander Karner, Maxine M. C. Storm, Gabriella Daroczy, Rizqy A. Zein, Andrea Greco, Erin M. Buchanan, Katharina Schmid, Thomas E. Hunt, Jonas De Keersmaecker, Peter E. Branney, Jordan Randell, Oliver J. Clark, Crystal N. Steltenpohl, Bhasker Malu, Burcu Tekeş, Tamilselvan Ramis, Stefan Agrigoroaei, Nicholas A. Badcock, Kareena Mcaloney-Kocaman, Olena V. Semenikhina, Erich W. Graf, Charlie Lea, Kalu T. U. Ogba, Fergus M. Guppy, Amy C. Warhurst, Shane Lindsay, Ahmed A. Khateeb, Frank Scharnowski, Leontien De Kwaadsteniet, Kathryn B. Francis, Mariah Lecompte, Lisa A. D. Webster, Kinga Morsanyi, Suzanna E. Forwood, Elizabeth R. Walters, Linda K. Tip, Jordan R. Wagge, Ho Y. Lai, Deborah S. Crossland, Kohinoor M. Darda, Tessa R. Flack, Zoe Leviston, Matthew Brolly, Samuel P. Hills, Elizabeth Collins, Andrew J. Roberts, Wing-Yee Cheung, Sophie Leonard, Bruno Verschuere, Samantha K. Stanley, Iro Xenidou-Dervou, Omid Ghasemi, Timothy Liew, Daniel Ansari, Johnrev Guilaran, Samuel G. Penny, Julia Bahnmueller, Christopher J. Hand, Unita W. Rahajeng, Dar Peterburg, Zsofia K. Takacs, Michael J. Platow, Andy P. Field

Research outputs 2022 to 2026

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts.

Maternal Educational Attainment In Pregnancy And Epigenome-Wide Dna Methylation Changes In The Offspring From Birth Until Adolescence, Priyanka Choudhary, Giulietta S. Monasso, Ville Karhunen, Justiina Ronkainen, Giulia Mancano, Caitlin G. Howe, Zhongzheng Niu, Xuehuo Zeng, Weihua Guan, John Dou, Jason I. Feinberg, Charles Mordaunt, Giancarlo Pesce, Nour Baïz, Rossella Alfano, Dries S. Martens, Congrong Wang, Elena Isaevska, Elina Keikkala, Sanna Mustaniemi, Chris H. L. Thio, Eliza Fraszczyk, Elmar W. Tobi, Anne P. Starling, Marta Cosin-Tomas, Jose Urquiza, Stefan Röder, Thanh T. Hoang, Christian Page, Dereje D. Jima, John S. House, Rachel L. Maguire, Raffael Ott, Xenia Pawlow, Lea Sirignano, Lea Zillich, Anni Malmberg, Sebastian Rauschert, Phillip Melton, Tong Gong, Robert Karlsson, Ruby Fore, Wei Perng, Zachary M. Laubach, Darina Czamara, Gemma Sharp, Carrie V. Breton, Enrique Schisterman, Edwina Yeung, Sunni L. Mumford, M. Daniele Fallin, Janine M. Lasalle, Rebecca J. Schmidt, Kelly M. Bakulski, Isabella Annesi-Maesano, Barbara Heude, Tim S. Nawrot, Michelle Plusquin, Akram Ghantous, Zdenko Herceg, Lorenza Nisticò, Marina Vafeiadi, Manolis Kogevinas, Marja Vääräsmäki, Eero Kajantie, Harold Snieder, Eva Corpeleijn, Regine P. M. Steegers-Theunissen, Ivana V. Yang, Dana Dabelea, Serena Fossati, Ana C. Zenclussen, Gunda Herberth, Maria Magnus, Siri E. Håberg, Stephanie J. London, Monica C. Munthe-Kaas, Susan K. Murphy, Cathrine Hoyo, Anette-G Ziegler, Sandra Hummel, Stephanie H. Witt, Fabian Streit, Josef Frank, Katri Räikkönen, Jari Lahti, Rae-Chi Huang, Catarina Almqvist, Marie-France Hivert, Vincent W. V. Jaddoe, Marjo-Riitta Järvelin, Marko Kantomaa, Janine F. Felix, Sylvain Sebert

Research outputs 2022 to 2026

Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was …

Enhancing Professional Skills Among Engineering Students By Interdisciplinary International Collaboration, Thomas Mejtoft, Helen Cripps, Melissa Fong-Emmerson, Christopher Blöcker

Research outputs 2022 to 2026

Providing necessary knowledge and skills for engineering students to become successful professionals is a tricky task. Besides disciplinary knowledge, e.g., communication skills, ability to work in teams, and international experience are often mentioned as important. Regarding internationalization, most engineering programs in Sweden rely on either student exchange or low-level internationalization-at-home, such as international literature and lecturers. This paper explores sustainable international experiences for students on their home turf provided through an international interdisciplinary collaboration where engineering students in Sweden and marketing students in Australia work together on a project. The setup simulates a consultancy firm with development and marketing offices …

The Landscape Of Public Procurement Research: A Bibliometric Analysis And Topic Modelling Based On Scopus, Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Yasanur Kayikci, Mohammad Iranmanesh

Research outputs 2022 to 2026

Purpose: The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984. Design/methodology/approach: A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP. Findings: Findings reveal that PP research from Scopus …

Student Evaluation Of Teaching: Reactions Of Australian Academics To Anonymous Non-Constructive Student Commentary, Marie Hutchinson, Rosanne Coutts, Debbie Massey, Dima Nasrawi, Jann Fielden, Megan Lee, Richard Lakeman

Research outputs 2022 to 2026

Within Australian higher education, student evaluation of teaching (SET) is regularly conducted and data are utilised for quality control and staff appraisal. Within current methodologies, students can anonymously provide further feedback as written commentary. There is now growing evidence that, once this narrative becomes derogatory or abusive, it may have the potential to create harm. To investigate staff reactions to receiving anonymous non-constructive commentary, a one group point in time design was constructed, and a survey conducted. Participants (N = 741) from a broad cross-section of Australian universities responded to Likert questions asking about their reactions. A significant impact was …

Social Media And English Language Writing Performances Of A Ghanaian Esl Class: The Nexus, Ramos Asafo-Adjei, Ronald Osei Mensah, Ernest Kwesi Klu, Enock Swanzy-Impraim

Research outputs 2022 to 2026

The nexus among social media usage and the English language writing performances of a Ghanaian English as Second Language (ESL) class was investigated in this enquiry. The simple qualitative case study design was used, and the data was collected from a co-educational government secondary school Form 2 General Arts One class in Ghana. A focus group discussion (FGD) guide was employed to elicit the data, and the data were synthesised and analysed using the Data Analysis Spiral. It was evidenced that social media has adversely impacted the students’ English Language learning, as oblivious and non-standard contents have been smuggled into …

Cybersecurity Knowledge Graphs, Leslie Sikos

Research outputs 2022 to 2026

Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist security analysts to obtain cyberthreat intelligence, achieve a high level of cyber-situational awareness, discover new cyber-knowledge, visualize networks, data flow, and attack paths, and understand data correlations by aggregating and fusing data. This paper reviews the most prominent graph-based data models used in this domain, along with knowledge organization systems that define concepts and properties utilized in formal cyber-knowledge representation for both background knowledge and specific expert knowledge about an actual …