Digital Commons Network^™

The Role Of Inputs Of Marine Wrack And Carrion In Sandy-Beach Ecosystems: A Global Review, Glenn A. Hyndes, Emma L. Berdan, Cristian Duarte, Jenifer E. Dugan, Kyle A. Emery, Peter A. Hamback, Christopher J. Henderson, David M. Hubbard, Mariano Lastra, Miguel A. Mateo, Andrew Olds, Thomas A. Schlacher

Research outputs 2022 to 2026

Sandy beaches are iconic interfaces that functionally link the ocean with the land via the flow of organic matter from the sea. These cross-ecosystem fluxes often comprise uprooted seagrass and dislodged macroalgae that can form substantial accumulations of detritus, termed ‘wrack’, on sandy beaches. In addition, the tissue of the carcasses of marine animals that regularly wash up on beaches form a rich food source (‘carrion’) for a diversity of scavenging animals. Here, we provide a global review of how wrack and carrion provide spatial subsidies that shape the structure and functioning of sandy-beach ecosystems (sandy beaches and adjacent surf …

Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm, Angela An, Mohammad Al-Fawa’Reh, James Jin Kang

Research outputs 2022 to 2026

Monitoring a patient’s vital signs is considered one of the most challenging problems in telehealth systems, especially when patients reside in remote locations. Companies now use IoT devices such as wearable devices to participate in telehealth systems. However, the steady adoption of wearables can result in a significant increase in the volume of data being collected and transmitted. As these devices run on limited battery power, they can run out of power quickly due to the high processing requirements of the device for data collection and transmission. Given the importance of medical data, it is imperative that all transmitted data …

Expressiveness Of Real-Time Motion Captured Avatars Influences Perceived Animation Realism And Perceived Quality Of Social Interaction In Virtual Reality, Alan D. Fraser, Isabella Branson, Ross C. Hollett, Craig P. Speelman, Shane L. Rogers

Research outputs 2022 to 2026

Using motion capture to enhance the realism of social interaction in virtual reality (VR) is growing in popularity. However, the impact of different levels of avatar expressiveness on the user experience is not well understood. In the present study we manipulated levels of face and body expressiveness of avatars while investigating participant perceptions of animation realism and interaction quality when disclosing positive and negative experiences in VR. Moderate positive associations were observed between perceptions of animation realism and interaction quality. Post-experiment questions revealed that many of our participants (approximately 40 %) indicated the avatar with the highest face and body …

Spectroscopic Study Of The Br−+Ch3i→I−+Ch3br Sn2 Reaction, Hayden T. Robinson, Timothy R. Corkish, Christian T. Haakansson, Peter D. Watson, Allan J. Mckinley, Duncan A. Wild

Research outputs 2022 to 2026

Mass spectrometry and anion photoelectron spectroscopy have been used to study the gas-phase S_N2 reaction involving Br^- and CH₃I. The anion photoelectron spectra associated with the reaction intermediates of this S_N2 reaction are presented. High-level CCSD(T) calculations have been utilised to investigate the reaction intermediates that may form as a result of the S_N2 reaction along various different reaction pathways, including back-side attack and front-side attack. In addition, simulated vertical detachment energies of each reaction intermediate have been calculated to rationalise the photoelectron spectra.

Combining Security And Reliability Of Critical Infrastructures: The Concept Of Securability, Leandros Maglaras, Helge Janicke, Mohamed Amine Ferrag

Research outputs 2022 to 2026

The digital revolution has made people more dependent on ICT technology to perform everyday tasks, whether at home or at work. The systems that support critical aspects of this smart way of living are characterized as critical, and the security level of such systems is higher as compared to others. The definition of the criticality of a system is a rather difficult exercise, and for that reason, we have seen novel cybersecurity regulations to introduce the idea of digital managed services, which include security monitoring, managed network services, or the outsourcing of business processes that are are critical to the …

Anomaly Detection In Cybersecurity Datasets Via Cooperative Co-Evolution-Based Feature Selection, Bazlur A. N. M. Rashid, Mohiuddin Ahmed, Leslie F. Sikos, Paul Haskell-Dowland

Research outputs 2022 to 2026

Anomaly detection from Big Cybersecurity Datasets is very important; however, this is a very challenging and computationally expensive task. Feature selection (FS) is an approach to remove irrelevant and redundant features and select a subset of features, which can improve the machine learning algorithms’ performance. In fact, FS is an effective preprocessing step of anomaly detection techniques. This article’s main objective is to improve and quantify the accuracy and scalability of both supervised and unsupervised anomaly detection techniques. In this effort, a novel anomaly detection approach using FS, called Anomaly Detection Using Feature Selection (ADUFS), has been introduced. Experimental analysis …

Regeneration Time: Ancient Wisdom For Planetary Wellbeing, Anne Poelina, Sandra Wooltorton, Mindy Blaise, Catrina Luz Aniere, Pierre Horwitz, Peta J. White, Stephen Muecke

Research outputs 2022 to 2026

In these regenerative times prompted by the Anthropocene, Aboriginal voices are situated to draw on ancient wisdom for local learning and to share information across the globe as ecological imperative for planetary wellbeing. In this paper, postqualitative research foregrounds the sentient nature of life as ancestral power and brings the vitality of co-becoming as our places into active engagement. It enables coloniality to surface and reveals how it sits in our places and lives, in plain sight but unnoticed because of its so-called common sense. Postqualitative research relates with ancient knowledges in foregrounding Country's animacy and presence, revealing the essence …

Covertness And Timeliness Of Data Collection In Uav-Aided Wireless-Powered Iot, Xingbo Lu, Weiwei Yang, Shihao Yan, Zan Li, Derrick Wing Kwan Ng

Research outputs 2014 to 2021

In this work, we aim to maximize the timeliness of data collection subject to a covertness constraint in unmanned aerial vehicle (UAV)-aided Internet-of-Things (IoT) networks, where a UAV periodically conducts wireless power transfer (WPT) to charge an energy-constrained IoT device and then the IoT device opportunistically sends its collected data to the UAV. To this end, we first derive a lower bound on the covertness constraint and an analytical expression for age of information (AoI) to characterize timeliness. Then, we jointly optimize the UAV’s transmit power for WPT, the WPT duration, and the data transmission duration by considering two practical …

Ransomware 2.0: An Emerging Threat To National Security, Mohiuddin Ahmed, Sascha Dominik Dov Bachmann, Abu Barkat Ullah, Shaun Barnett

Research outputs 2022 to 2026

The global Covid-19 pandemic has seen the rapid evolution of our traditional working environment; more people are working from home and the number of online meetings has increased. This trend has also affected the security sector. Consequently, the evolution of ransomware to what is now being described as ‘Ransomware 2.0’ has governments, businesses and individuals alike rushing to secure their data.

Wetlands As Social Ecological Systems, And Relationality In The Policy Domain, Pierre Horwitz

Research outputs 2022 to 2026

A wetland policy perspective based on social ecological systems accepts that wetlands are part of landwaterscapes, that people are part of wetland ecosystems, and that the health of wetlands and the health of people are interdependent, evidence of the close, reciprocal and indivisible relationships between nature and culture. These relationships are storied and place-based, associated with place attachment, and are representations of relational values. They are most easily located wherever and whenever Indigenous and local peoples’ knowledge and interests are at play in wetland settings. Legal and administrative processes that recognise Chthonic law and rights for wetlands will elevate relational …

Cybersecurity Of Critical Infrastructures: Challenges And Solutions, Leandros Maglaras, Helge Janicke, Mohamed Amine Ferrag

Research outputs 2022 to 2026

People’s lives are becoming more and more dependent on information and computer technology. This is accomplished by the enormous benefits that the ICT offers for everyday life. Digital technology creates an avenue for communication and networking, which is characterized by the exchange of data, some of which are considered sensitive or private. There have been many reports recently of data being hijacked or leaked, often for malicious purposes. Maintaining security and privacy of information and systems has become a herculean task. It is therefore imperative to understand how an individual’s or organization’s personal data can be protected. Moreover, critical infrastructures …

Plant Protein-Based Nanocomposite Films: A Review On The Used Nanomaterials, Characteristics, And Food Packaging Applications, Shima Jafarzadeh, Mehrdad Forough, Sajed Amjadi, Vahid J. Javan Kouzegaran, Hadi Almasi, Farhad Garavand, Masoumeh Zargar

Research outputs 2022 to 2026

Consumer demands to utilize environmentally friendly packaging have led researchers to develop packaging materials from naturally derived resources. In recent years, plant protein-based films as a replacement for synthetic plastics have attracted the attention of the global food packaging industry due to their biodegradability and unique properties. Biopolymer-based films need a filler to show improved packaging properties. One of the latest strategies introduced to food packaging technology is the production of nanocomposite films which are multiphase materials containing a filler with at least one dimension less than 100 nm. This review provides the recent findings on plant-based protein films as …

Design, Development, And Characterization Of Highly Efficient Colored Photovoltaic Module For Sustainable Buildings Applications, Mohammad Khairul Basher, Mohammad Nur-E-Alam, Momtazur Rahman, Steven Hinckley, Kamal Alameh

Research outputs 2022 to 2026

The building integrated photovoltaic (BIPV) system is one of the contributors which has enormous potential to reach the goal of net-zero energy buildings (NZEB) that significantly reduce the use of fossil fuels that contribute to global warming. However, the limitations of the visual and aesthetic appearance of current BIPV systems make this aspiration unlikely. This study investigates the limitations of the single-color-based PV modules that are dull in appearance and have low photo-conversion efficiency (PCE). In order to solve this issue, we designed, developed, and characterized micro-patterned-based multicolored photovoltaic (MPCPV) modules which are applicable to net-zero building and development. Our …

Prognostic And Predictive Value Of Β-Blockers In The Eortc 1325/Keynote-054 Phase Iii Trial Of Pembrolizumab Versus Placebo In Resected High-Risk Stage Iii Melanoma, Oliver J. Kennedy, Michal Kicinski, Sara Valpione, Sara Gandini, Stefan Suciu, Christian U. Blank, Georgina V. Long, Victoria G. Atkinson, Stéphane Dalle, Andrew M. Haydon, Andrey Meshcheryakov, Adnan Khattak, Matteo S. Carlino, Shahneen Sandhu, James Larkin, Susana Puig, Paolo A. Ascierto, Piotr Rutkowski, Dirk Schadendorf, Rutger Koornstra, Leonel Hernandez-Aya, Anna M. Di Giacomo, Alfonsus J.M. Van Den Eertwegh, Jean Jacques Grob, Ralf Gutzmer, Rahima Jamal, Alexander C.J. Van Akkooi, Caroline Robert, Alexander M. M. Eggermont, Paul Lorigan, Mario Mandala

Research outputs 2022 to 2026

Background:

β-adrenergic receptors are upregulated in melanoma cells and contribute to an immunosuppressive, pro-tumorigenic microenvironment. This study investigated the prognostic and predictive value of β-adrenoreceptor blockade by β-blockers in the EORTC1325/KEYNOTE-054 randomised controlled trial.

Methods:

Patients with resected stage IIIA, IIIB or IIIC melanoma and regional lymphadenectomy received 200 mg of adjuvant pembrolizumab (n = 514) or placebo (n = 505) every three weeks for one year or until recurrence or unacceptable toxicity. At a median follow-up of 3 years, pembrolizumab prolonged recurrence-free survival (RFS) compared to placebo (hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.47–0.68). β-blocker use was …

The Risk Of Multiple Anthropogenic And Climate Change Threats Must Be Considered For Continental Scale Conservation And Management Of Seagrass Habitat, Kathryn Mcmahon, Kieryn Kilminster, Robert Canto, Chris Roelfsema, Mitchell Lyons, Gary A. Kendrick, Michelle Waycott, James Udy

Research outputs 2022 to 2026

Globally marine-terrestrial interfaces are highly impacted due to a range of human pressures. Seagrass habitats exist in the shallow marine waters of this interface, have significant values and are impacted by a range of pressures. Cumulative risk analysis is widely used to identify risk from multiple threats and assist in prioritizing management actions. This study conducted a cumulative risk analysis of seagrass habitat associated with the Australian continent to support management actions. We developed a spatially explicit risk model based on a database of threats to coastal aquatic habitat in Australia, spanning 35,000 km of coastline. Risk hotspots were identified …

High Definition Tdcs Effect On Postural Control In Healthy Individuals: Entropy Analysis Of A Crossover Clinical Trial, Diandra B. Favoretto, Eduardo Bergonzoni, Diego Carvalho Nascimento, Francisco Louzada, Tenysson W. Lemos, Rosangela A. Batistela, Renato Moraes, João P. Leite, Brunna P. Rimoli, Dylan J. Edwards, Taiza G.S. Edwards

Research outputs 2022 to 2026

Objective: Converging evidence supporting an effect of transcranial direct current stimulation (tDCS) on postural control and human verticality perception highlights this strategy as promising for post-stroke rehabilitation. We have previously demonstrated polarity-dependent effects of high-definition tDCS (HD-tDCS) on weight-bearing asymmetry. However, there is no investigation regarding the time-course of effects on postural control induced by HD-tDCS protocols. Thus, we performed a nonlinear time series analysis focusing on the entropy of the ground reaction force as a secondary investigation of our randomized, double-blind, placebo-controlled, crossover clinical trial. Materials and Methods: Twenty healthy right-handed young adults received the following conditions (random order, …

An Analysis Of The Effects Of Large Wildfires On The Hydrology Of Three Small Catchments In Central Chile Using Tritium-Based Measurements And Hydrological Metrics, Francisco Balocchi, Diego Rivera, José Luis Arumi, Uwe Morgenstern, Donald A. White, Richard P. Silberstein, Pablo Ramírez De Arellano

Research outputs 2022 to 2026

Wildfires are an important disturbance affecting catchments’ soil and hydrological processes within. Wildfires are predicted to increase in both frequency and severity under climate change. Here, we present measurements of tritium (3H) in surface water of three streams before and after the ‘las Máquinas’ megafire of January 2017 in central Chile and streamflow metrics. Mean transit times (MTTs) of water were calculated in three coastal catchments with the Mediterranean climate type, covered by native forest, a mixture of native forest and Pinus radiata D. Don, and P. radiata. Lumped parameter models (LPMs) were used to obtain MTTs. Tritium activities from …

Perceptions Of Drinking Water Access And Quality In Rural Indigenous Villages In Fiji, Sarah Nelson, Jacqueline Thomas, Aaron Jenkins, Kelera Naivalu, Timoci Naivalulevu, Vilisi Naivalulevu, Kinikoto Mailautoka, Shylett Anthony, Mereia Ravoka, Stacy D. Jupiter, Sangeeta Mangubhai, Pierre Horwitz, Seye Abimbola, Joel Negin

Research outputs 2022 to 2026

Poor rural water quality is a health challenge in Fiji. A mixed-methods study in six iTaukei (Indigenous Fijian) villages was conducted to understand local perceptions of drinking water access and quality, how this changes drinking water source choices, and impacts of age and gender. Seventy-two household surveys, 30 key informant interviews (KIIs) and 12 focus group discus-sions (FGDs) were conducted. Household surveys revealed 41.7% of community members perceived their water as dirty and 76.4% perceived their water as clean. Two-thirds of households reported that they always or usually had enough water. FGDs and KIIs revealed water access and quality was …

Students’ Engagement In Education As Sustainability: Implementing An Ethical Dilemma-Steam Teaching Model In Chemistry Learning, Yuli Rahmawati, Elisabeth Taylor, Peter Charles Taylor, Achmad Ridwan, Alin Mardiah

Research outputs 2022 to 2026

This paper reports the results of a study on the implementation of the Ethical Dilemma STEAM Teaching Model in secondary schools in Jakarta, Indonesia. This interdisciplinary curriculum approach employed ‘ethical dilemma story pedagogy’ in a STEAM education project designed to engage students in values-based chemistry learning. Drawing on the arts, specially written ethical dilemma stories posing real-world environmental problems engaged students in exploring their value systems. Students reflected on the pros and cons of ethical dilemmas related to the everyday use of artificial fertilizers, disposal of used cooking oil and detergent waste, and environmental pollution caused by plastic waste. The …

Development And Validation Of An Astronomy Self-Efficacy Instrument For Understanding And Doing, Rachel Freed, David Mckinnon, Michael Fitzgerald, Christina M. Norris

Research outputs 2022 to 2026

This paper presents a new astronomy self-efficacy instrument, composed of two factors; one relating to learning astronomy content, which we call astronomy personal self-efficacy, and the other relating to the use of astronomical instrumentation, specifically the use of remote robotic telescopes for data collection. The latter is referred to as the astronomy instrumental self-efficacy factor. The instrument has been tested for reliability and construct validity. Reliability testing showed that factor 1 had a Cronbach's α of 0.901 and factor 2 had a Cronbach's α of 0.937. Construct validity was established by computing one-way analyses of variances, with the p value …

Adverse Events Reporting Of Clinical Trials In Exercise Oncology Research (Advance): Protocol For A Scoping Review, Hao Luo, Oliver Schumacher, Daniel A. Galvão, Robert U. Newton, Dennis R. Taaffe

Research outputs 2022 to 2026

Introduction: Adequate, transparent, and consistent reporting of adverse events (AEs) in exercise oncology trials is critical to assess the safety of exercise interventions for people following a cancer diagnosis. However, there is little understanding of how AEs are reported in exercise oncology trials. Thus, we propose to conduct a scoping review to summarise and evaluate current practice of reporting of AEs in published exercise oncology trials with further exploration of factors associated with inadequate reporting of AEs. The study findings will serve to inform the need for future research on standardisation of the definition, collection, and reporting of AEs for …

Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahman Alruban

Research outputs 2022 to 2026

As the smartphone and the services it provides are becoming targets of cybercrime, it is critical to secure smartphones. However, it is important security controls are designed to provide continuous and user-friendly security. Amongst the most important of these is user authentication, where users have experienced a significant rise in the need to authenticate to the device and individually to the numerous apps that it contains. Gait authentication has gained attention as a mean of non-intrusive or transparent authentication on mobile devices, capturing the information required to verify the authenticity of the user whilst the person is walking. Whilst prior …

Ecu-Ioft: A Dataset For Analysing Cyber-Attacks On Internet Of Flying Things, Mohiuddin Ahmed, David Cox, Benjamin Simpson, Aseel Aloufi

Research outputs 2022 to 2026

There has been a significant increase in the adoption of unmanned aerial vehicles (UAV) within science, technology, engineering, and mathematics project-based learning. However, the risks that education providers place their student and staff under is often unknown or undocumented. Low-end consumer drones used within the education sector are vulnerable to state-of-the-art cyberattacks. Therefore, datasets are required to conduct further research to establish cyber defenses for UAVs used within the education sector. This paper showcases the development of the ECU-IoFT dataset, documenting three known cyber-attacks targeting Wi-Fi communications and the lack of security in an affordable off-the-shelf drone. At present, there …

Pparα And Pparγ Activation Is Associated With Pleural Mesothelioma Invasion But Therapeutic Inhibition Is Ineffective, M. Lizeth Orozco Morales, Catherine A. Rinaldi, Emma De Jong, Sally M. Lansley, Joel P. A. Gummer, Bence Olasz, Shabarinath Nambiar, Danika E. Hope, Thomas H. Casey, Y. C. Gary Lee, Connull Leslie, Gareth Nealon, David M. Shackleford, Andrew K. Powell, Marina Grimaldi, Patrick Balaguer, Rachael M. Zemek, Anthony Bosco, Matthew J. Piggott, Alice Vrielink, Richard A. Lake, W. Joost Lesterhuis

Research outputs 2022 to 2026

Mesothelioma is a cancer that typically originates in the pleura of the lungs. It rapidly invades the surrounding tissues, causing pain and shortness of breath. We compared cell lines injected either subcutaneously or intrapleurally and found that only the latter resulted in invasive and rapid growth. Pleural tumors displayed a transcriptional signature consistent with increased activity of nuclear receptors PPARα and PPARγ and with an increased abundance of endogenous PPAR-activating ligands. We found that chemical probe GW6471 is a potent, dual PPARα/γ antagonist with anti-invasive and anti-proliferative activity in vitro. However, administration of GW6471 at doses that provided sustained plasma …

The Influence Of Local Embeddedness On The Economic, Social, And Environmental Sustainability Practices Of Regional Small Firms, Jalleh Sharafizad, Janice Redmond, Craig Parker

Research outputs 2022 to 2026

Despite growing research on economic, social, and environmental sustainability, few studies explore all three sustainability pillars and implemented practices, in the context of regional small firms. This study uses a novel integration of two theoretical concepts, local embeddedness, and sustainability embeddedness orientation, to fill this knowledge gap. Using 26 interviews, the study highlights the nuanced interconnectedness of three new theoretical concepts that link local embeddedness and sustainability embeddedness–locally embedded sustainability values, spatially-driven sustainability and locally adapted sustainability. An integrated theoretical framework is provided that uses the three new concepts to explain how and why small firm local embeddedness in regional …

Finding Geodesics Joining Given Points, Lyle Noakes, Erchuan Zhang

Research outputs 2022 to 2026

Finding a geodesic joining two given points in a complete path-connected Riemannian manifold requires much more effort than determining a geodesic from initial data. This is because it is much harder to solve boundary value problems than initial value problems. Shooting methods attempt to solve boundary value problems by solving a sequence of initial value problems, and usually need a good initial guess to succeed. The present paper finds a geodesic γ: [0 , 1] → M on the Riemannian manifold M with γ(0) = x0 and γ(1) = x1 by dividing the interval [0,1] into several sub-intervals, preferably just …

A Framework Of Lightweight Deep Cross-Connected Convolution Kernel Mapping Support Vector Machines, Qi Wang, Zhaoying Liu, Ting Zhang, Shanshan Tu, Yujian Li, Muhammad Waqas

Research outputs 2022 to 2026

Deep kernel mapping support vector machines have achieved good results in numerous tasks by mapping features from a low-dimensional space to a high-dimensional space and then using support vector machines for classification. However, the depth kernel mapping support vector machine does not take into account the connection of different dimensional spaces and increases the model parameters. To further improve the recognition capability of deep kernel mapping support vector machines while reducing the number of model parameters, this paper proposes a framework of Lightweight Deep Convolutional Cross-Connected Kernel Mapping Support Vector Machines (LC-CKMSVM). The framework consists of a feature extraction module …

A Truly Spatial Random Forests Algorithm For Geoscience Data Analysis And Modelling, Hassan Talebi, Luk J. M. Peeters, Alex Otto, Raimon Tolosana-Delgado

Research outputs 2014 to 2021

Spatial data mining helps to find hidden but potentially informative patterns from large and high-dimensional geoscience data. Non-spatial learners generally look at the observations based on their relationships in the feature space, which means that they cannot consider spatial relationships between regionalised variables. This study introduces a novel spatial random forests technique based on higher-order spatial statistics for analysis and modelling of spatial data. Unlike the classical random forests algorithm that uses pixelwise spectral information as predictors, the proposed spatial random forests algorithm uses the local spatial-spectral information (i.e., vectorised spatial patterns) to learn intrinsic heterogeneity, spatial dependencies, and complex …

More Amazon Than Mafia: Analysing A Ddos Stresser Service As Organised Cybercrime, Roberto Musotto, David S. Wall

Research outputs 2014 to 2021

© 2020, The Author(s). The internet mafia trope has shaped our knowledge about organised crime groups online, yet the evidence is largely speculative and the logic often flawed. This paper adds to current knowledge by exploring the development, operation and demise of an online criminal group as a case study. In this article we analyse a DDoS (Distributed Denial of Service) stresser (also known as booter) which sells its services online to enable offenders to launch attacks. Using Social Network Analysis to explore the service operations and payment systems, our findings show a central business model that is similar to …

Machine Infelicity In A Poignant Visitor Setting: Comparing Human And Ai’S Ability To Analyze Discourse, Martin Maccarthy, Hairong Shan

Research outputs 2014 to 2021

This study compares the efficacy of computer and human analytics in a commemorative setting. Both deductive and inductive reasoning are compared using the same data across both methods. The data comprises 2490 non-repeated, non-dialogical social media comments from the popular touristic site Tripadvisor. Included in the analysis is participant observation at two Anzac commemorative sites, one in Western Australia and one in Northern France. The data is then processed using both Leximancer V4.51 and Dialectic Thematic Analysis. The findings demonstrate artificial intelligence (AI) was incapable of insight beyond metric-driven content analysis. While fully deduced by human analysis the metamodel was …