Digital Commons Network^™

Mathematical Connections In Preservice Secondary Mathematics Teachers’ Solution Strategies To Algebra Problems, Vesife Hatisaru, Kaye Stacey, Jon R. Star

Research outputs 2022 to 2026

This study investigated the mathematical connections found in the solutions provided by 22 preservice secondary mathematics teachers to a set of algebra problems. Interest in, and research on, mathematical connections has gained prominence of the past decade. Here, we use the Extended Theory of Mathematical Connections or ETMC to explore the types of connections that this framework does and does not capture in the preservice teachers’ solutions. The ETMC surfaced four types of mathematical connections across four problems: ‘different representations’, ‘procedural’, ‘part-whole’ and ‘meaning’. The other types of connections defined in ETMC such as ‘reversibility’ or ‘feature’ were not found …

Self-Efficacy Changes And Gender Effects On Self-Efficacy In A Large-Scale Robotic Telescope Focused Curriculum, Rachel Freed, David Mckinnon, Saeed Salimpour, Michael Fitzgerald, Dan Reichart, Christina Norris

Research outputs 2022 to 2026

In this paper, we present the results of an investigation into the effects of engaging with robotic telescopes during an Astronomy 101 (Astro101) course in the United States and Canada on the self-efficacy of students. Using an astronomy self-efficacy survey that measures both astronomy personal self-efficacy and instrumental self-efficacy, the authors probed their covariance with the respondents' experience of an Astro101 course that uses robotic telescopes to collect astronomical data. Strong effects on both self-efficacy scales were seen over the period of a semester utilizing a scalable educational design using robotic telescopes. After participation in the course, the results show …

Achieving Covert Communication With A Probabilistic Jamming Strategy, Xun Chen, Fujun Gao, Min Qiu, Jia Zhang, Feng Shu, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario, where a transmitter Alice communicates to a receiver Bob with the aid of a probabilistic and uninformed jammer against an adversary warden's detection. The transmission status and power of the jammer are random and follow some priori probabilities. We first analyze the warden's detection performance as a function of the jammer's transmission probability, transmit power distribution, and Alice's transmit power. We then maximize the covert throughput from Alice to Bob subject to a covertness constraint, by designing the covert communication strategies from three different perspectives: Alice's perspective, the jammer's perspective, and …

Early-Phase Insulin Secretion During Mixed-Meal Tolerance Testing Predicts Β-Cell Function And Secretory Capacity In Cystic Fibrosis, Saba Sheikh, Darko Stefanovski, Marissa J Kilberg, Denis Hadjiliadis, Ronald C Rubenstein, Michael R Rickels, Andrea Kelly

2020-Current year OA Pubs

UNLABELLED: Insulin secretion within 30 minutes of nutrient ingestion is reduced in people with cystic fibrosis (PwCF) and pancreatic insufficiency and declines with worsening glucose tolerance. The glucose potentiated arginine (GPA) test is validated for quantifying β-cell secretory capacity as an estimate of functional β-cell mass but requires technical expertise and is burdensome. This study sought to compare insulin secretion during mixed-meal tolerance testing (MMTT) to GPA-derived parameters in PwCF.

METHODS: Secondary data analysis of CF-focused prospective studies was performed in PwCF categorized as 1) pancreatic insufficient [PI-CF] or 2) pancreatic sufficient [PS-CF] and in 3) non-CF controls. MMTT: insulin …

Assessing The Impact Of Geochemical Mechanism And Interpolation Factor Selection On The Precision Of Low-Salinity Waterflooding Modelling: A Comparative Study, Malek Jalilian, Sedigheh Mahdavi, Peyman Pourafshary, Zheinjiang You, Amir H. Mohammadi

Research outputs 2022 to 2026

The efficacy of low salinity waterflooding (LSWF) as an enhanced oil recovery (EOR) method in carbonate formations has been well established; however, its geochemical modelling in such reservoirs remains insufficiently explored. This study aims to bridge this gap by conducting a comparative analysis of three well-recognised geochemical mechanisms including fines migration, rock dissolution/precipitation, and multi-ion exchange (MIE). Our research encompasses two parts: experimental and modelling. First, we conducted four coreflooding experiments to study the effect of LSWF on oil recovery in core scale as well as on rock wettability by measuring the contact angle of the crude oil-brine-rock system. In …

Education For Profit In The Era Of Xi: Biopower, Resistance And China’S Double Reduction Policy, Wei Zhang, Le Wang, Christine Cunningham, Zhen Liu

Research outputs 2022 to 2026

This study aims to advance the understanding of for-profit Chinese education during the tenure of Chairman Xi Jinping. Notably, Xi has recently targeted the privately operated, for-profit before-and-after school supplementary tutoring industry, commonly referred to as “Shadow Education”. In 2021, the introduction of the Double Reduction policy abruptly prohibited most SE businesses. Our research seeks to elucidate the impacts of this sudden policy shift on Chinese parents’ perceptions and decision-making regarding their children’s education and supplementary learning opportunities. Conducted in 2022 across mainland China, our study engaged 195 parents through an online survey followed by two focus group interviews. The …

Fluid Biomarkers In Cerebral Amyloid Angiopathy, Seyed M. Savar, Bin Ma, Eugene Hone, Farzana Jahan, Shaun Markovic, Steve Pedrini, Soudabeh Shemehsavar, Vandhana Easwaran, Kevin Taddei, Samantha Gardener, Jasmeer P. Chhatwal, Ellis S. Van Etten, Matthias J. P. Van Osch, Daniel Clarke, Anastazija Gnjec, Mark A. Van Buchem, Marieke J. H. Wermer, Graeme J. Hankey, Steven M. Greenberg, Ralph N. Martins, Hamid R. Sohrabi

Research outputs 2022 to 2026

Cerebral amyloid angiopathy (CAA) is a type of cerebrovascular disorder characterised by the accumulation of amyloid within the leptomeninges and small/medium-sized cerebral blood vessels. Typically, cerebral haemorrhages are one of the first clinical manifestations of CAA, posing a considerable challenge to the timely diagnosis of CAA as the bleedings only occur during the later disease stages. Fluid biomarkers may change prior to imaging biomarkers, and therefore, they could be the future of CAA diagnosis. Additionally, they can be used as primary outcome markers in prospective clinical trials. Among fluid biomarkers, blood-based biomarkers offer a distinct advantage over cerebrospinal fluid biomarkers …

Trends In Monitoring Of Australia’S Threatened Birds (1990–2020): Much Improved But Still Inadequate, Simon J. Verdon, Robert A. Davis, Ayesha Tulloch, Sarah M. Legge, David M. Watson, John C. Z. Woinarski, G. Barry Baker, Joris Driessen, Hayley M. Geyle, Hugh Possingham, Stephen T. Garnett

Research outputs 2022 to 2026

Monitoring is vital to conservation, enabling conservation scientists to detect population declines, identify threats and measure the effectiveness of interventions. However, not all threatened taxa are monitored, monitoring quality is variable, and the various components of monitoring are likely to differ in their rates of improvement over time. We assessed the presence of monitoring and monitoring quality, using a range of metrics, for all Australia’s threatened bird taxa from 1990 to 2020 (four assessments spanning 30 years). We used our assessments to understand decadal trends in the number of taxa monitored; monitoring quality; and the groups that conduct monitoring. The …

Opportunities And Challenges Posed By Disruptive And Converging Information Technologies For Australia's Future Defence Capabilities: A Horizon Scan, Pi-Shen Seet, Anton Klarin, Janice Jones, Mike Johnstone, Helen Cripps, Jalleh Sharafizad, Violetta Wilk, David Suter, Tony Marceddo

Research outputs 2022 to 2026

Introduction: The research project's objective was to conduct a comprehensive horizon scan of Network Centric Warfare (NCW) technologies-specifically, Cyber, IoT/IoBT, AI, and Autonomous Systems. Recognised as pivotal force multipliers, these technologies are critical to reshaping the mission, design, structure, and operations of the Australian Defence Force (ADF), aligning with the Department of Defence (Defence)’s offset strategies and ensuring technological advantage, especially in the Indo-Pacific's competitive landscape.

Research process: Employing a two-pronged research approach, the study first leveraged scientometric analysis, utilising informetric mapping software (VOSviewer) to evaluate emerging trends and their implications on defence capabilities. This approach facilitated a broader understanding …

Consequences Of Group-Based Misperceptions Of Climate Concern For Efficacy And Action, Zoe Leviston, Tanvi Nangrani, Samantha K. Stanley, Iain Walker

Research outputs 2022 to 2026

People tend to underestimate others’ environmental values, including when judging the values of minority-status groups. Using a large national sample (N = 5110), we test whether these misperceptions extend to concern about climate change in Australia, and differ depending on immigrant status, ethnicity, and where one is located (i.e., in or outside capital cities). We also examine the consequences of misperceptions for self-efficacy and pro-environmental behaviour. We find personal climate concern is high, but perceptions of others’ concern is lower. Immigrants and Australian-born participants have similarly high concern, but both groups underestimate how concerned immigrants are. Southern-Central-Asian identifiers are the …

Microbes Of Biotechnological Importance In Acidic Saline Lakes In The Yilgarn Craton, Western Australia, Katelyn Boase, Talitha Santini, Elizabeth Watkin

Research outputs 2022 to 2026

Acidic salt lakes are environments that harbor an array of biologically challenging conditions. Through 16S rRNA, 18S rRNA, and ITS amplicon sequencing of eight such lakes across the Yilgarn Craton of Western Australia, we aim to understand the microbial ecology of these lakes with a focus on iron- and sulfur-oxidizing and reducing microorganisms that have theoretical application in biomining industries. In spite of the biological challenges to life in these lakes, the microbial communities were highly diverse. Redundancy analysis of soil samples revealed sulfur, ammonium, organic carbon, and potassium were significant diversities of the microbial community composition. The most abundant …

The Impact Of Environmental Policy On Renewable Energy Innovation: A Systematic Literature Review And Research Directions, Hiva Rastegar, Gabriel Eweje, Aymen Sajjad

Research outputs 2022 to 2026

Renewable energy innovations are imperative to tackle the climate change crisis. However, there is a gap in the literature regarding the effectiveness of environmental policies in promoting renewable energy innovations. To bridge this gap, we have adopted a systematic literature review process covering the period from 2005 to 2023. We identified and analysed 29 articles in our final sample. Further, we employ two levels of analysis (individual-policy and policy-mix levels) for analysing the extant research. Our findings show that fiscal incentives and emissions trading policies such as the European Union (EU) Emissions Trading System (ETS) consistently promote renewable energy innovations. …

Understanding The Impact Of Environmental Impact Assessment Research On Policy And Practice, Angus Morrison-Saunders, Annette Nykiel, Nicole Atkins

Research outputs 2022 to 2026

There is an enormous and ever-growing body of environmental impact assessment (EIA) research, much of which is grounded in practice or seeks to advance it. In this paper we show how the impact of EIA research on policy and practice might be conceptualised and how to set about evidencing it. A framework is developed through literature review to account for impact in four areas pertaining to instrumental impact, conceptual impact, capacity building and knowledge brokerage and co-production. Methods for implementing the framework include citations within policy documents along with content analysis to determine influence and interviews or surveys with policy …

Unleashing The Power Of Internet Of Things And Blockchain: A Comprehensive Analysis And Future Directions, Abderahman Rejeb, Karim Rejeb, Andrea Appolloni, Sandeep Jagtap, Mohammad Iranmanesh, Salem Alghamdi, Yaser Alhasawi, Yasanur Kayikci

Research outputs 2022 to 2026

As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is increasingly shaping diverse fields. The potential of this convergence to fortify security, enhance privacy, and streamline operations has ignited considerable academic interest, resulting in an impressive body of literature. However, there is a noticeable scarcity of studies employing Latent Dirichlet Allocation (LDA) to dissect and categorize this field. This review paper endeavours to bridge this gap by meticulously analysing a dataset of 4455 journal articles drawn solely from the Scopus database, cantered around IoT and blockchain applications. Utilizing LDA, we have extracted 14 distinct topics …

Analysis Of Element Yield, Bacterial Community Structure And The Impact Of Carbon Sources For Bioleaching Rare Earth Elements From High Grade Monazite, Melissa K. Corbett, April Gifford, Nick Fimognari, Elizabeth L. J. Watkin

Research outputs 2022 to 2026

Rare earth element (REE) recovery from waste streams, mine tailings or recyclable components using bioleaching is gaining traction due to the shortage and security of REE supply as well as the environmental problems that occur from processing and refining. Four heterotrophic microbial species with known phosphate solubilizing capabilities were evaluated for their ability to leach REE from a high-grade monazite when provided with either galactose, fructose or maltose. Supplying fructose resulted in the greatest amount of REE leached from the ore due to the largest amount of organic acid produced. Gluconic acid was the dominant organic acid identified produced by …

Performance Evaluation Of A Dual-Chamber Plant Microbial Fuel Cell Developed For Electricity Generation And Wastewater Treatment, Mahmood Golzarian, M. Ghiasvand, S. Shokri, M. Bahreini, Fatemeh Kazemi

Research outputs 2022 to 2026

Plant microbial fuel cells (PMFC) have attracted great scholarly attention as a renewable energy source. These cells have three main components: anode, cathode chambers, and a proton exchange membrane. In this study, a dual-chamber plant microbial fuel cell system was designed using Cyperus papyrus and Shewanella oneidensis. The effects of various factors, including the size of the electrodes, the distance between the electrodes, and the inoculation volume of Shewanella oneidensis, on the ability of electricity generation, were scrutinized. The results indicated that increasing the size area of the electrodes from 2 × 2 to 4 × 4 and 6 × …

Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly

Research outputs 2022 to 2026

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework …

Region-Specific Drivers Cause Low Organic Carbon Stocks And Sequestration Rates In The Saltmarsh Soils Of Southern Scandinavia, Carmen Leiva-Dueñas, Anna E. L. Graversen, Gary T. Banta, Jeppe N. Hansen, Marie L. K. Schrøter, Pere Masqué, Marianne Holmer, Dorte Krause-Jensen

Research outputs 2022 to 2026

Saltmarshes are known for their ability to act as effective sinks of organic carbon (OC) and their protection and restoration could potentially slow down the pace of global warming. However, regional estimates of saltmarsh OC storage are often missing, including for the Nordic region. To address this knowledge gap, we assessed OC storage and accumulation rates in 17 saltmarshes distributed along the Danish coasts and investigated the main drivers of soil OC storage. Danish saltmarshes store a median of 10 kg OC m−2 (interquartile range, IQR: 13.5–7.6) in the top meter and sequester 31.5 g OC m−2 yr−1 (IQR: 41.6–15.7). …

Simulating Compatible Solute Biosynthesis Using A Metabolic Flux Model Of The Biomining Acidophile, Acidithiobacillus Ferrooxidans Atcc 23270, Himel N. Khaleque, Hadi Nazem-Bokaee, Yosephine Gumulya, Ross P. Carlson, Anna H. Kaksonen

Research outputs 2022 to 2026

Halotolerant, acidophilic, bioleaching microorganisms are crucial to biomining operations that utilize saline water. Compatible solutes play an important role in the adaptation of these microorganisms to saline environments. Acidithiobacillus ferrooxidans ATCC 23270, an iron- and sulfur-oxidizing acidophilic bacterium, synthesizes trehalose as its native compatible solute but is still sensitive to salinity. Recently, halotolerant bioleaching bacteria were found to use ectoine as their key compatible solute. Previously, bioleaching bacteria were recalcitrant to genetic manipulation; however, recent advancements in genetic tools and techniques allow successful genetic modification of A. ferrooxidans ATCC 23270. Therefore, this study aimed to test, in silico, the effect …

An Ecosystem Of Knowledge: Relationality As A Framework For Teachers To Infuse Indigenous Perspectives In Curriculum, Maryanne Macdonald, Sarah Booth, Libby Jackson-Barrett

Research outputs 2022 to 2026

New data is presented from two studies involving thirteen practising secondary teachers and twelve pre-service early childhood, primary and secondary teachers in Australia. The first study explored how non-Indigenous practising teacher identities, shaped by external and policy discourse, create obstacles to teachers’ willingness and confidence in infusing Indigenous perspectives in curriculum. With this knowledge in hand, the researchers utilised a Design-Based Research methodology to conduct a second study with pre-service (ITE) teachers, exploring the power of relationality as a framework to re-shape non-Indigenous pre-service teachers’ conceptualisation of racial and place-based identity. By enabling non-Indigenous pre-service teachers to construct an authentic …

Malware Detection With Artificial Intelligence: A Systematic Literature Review, Matthew G. Gaber, Mohiuddin Ahmed, Helge Janicke

Research outputs 2022 to 2026

In this survey, we review the key developments in the field of malware detection using AI and analyze core challenges. We systematically survey state-of-the-art methods across five critical aspects of building an accurate and robust AI-powered malware-detection model: malware sophistication, analysis techniques, malware repositories, feature selection, and machine learning vs. deep learning. The effectiveness of an AI model is dependent on the quality of the features it is trained with. In turn, the quality and authenticity of these features is dependent on the quality of the dataset and the suitability of the analysis tool. Static analysis is fast but is …

Aboriginal Students’ Journeys To University – Privileging Our Sovereign Voices, Renae Isaacs-Guthridge

Research outputs 2022 to 2026

Since invasion the trajectory of colonial education in Australia has been linear; most students are expected to complete primary and secondary education, and, if accepted, seamlessly transition to university by 18 years of age. The reality is that many students do not experience continuity in their education, let alone reach university, and this can be particularly problematic for Aboriginal and Torres Strait Islander students (Australian Institute of Health and Welfare, 2024; Productivity Commission, 2024). Put simply, Australia’s education system continues to fail many Aboriginal and Torres Strait Islander students, further silencing our sovereign voices. Drawing on an Indigenist research paradigm …

Developing International Guidance To Make Impact Assessment Follow-Up Happen–Reflections On An Interactive Design Process, Angus Morrison-Saunders, Jos Arts, Annette Nykiel, Bruce Muir, Richard Morgan, Patricia Fitzpatrick, Ciaran O’Faircheallaigh, Alberto Fonseca, Charlotta Faith-Ell, Ainhoa González, Jan Albert Wessels, Gesa Geißler, Luis Sánchez, Urmila Jha-Thakur, William Ross, John Glasson

Research outputs 2022 to 2026

To advance impact assessment (IA) practice worldwide the International Association for Impact Assessment (IAIA) has long promoted and published a series of international best practice principles, including the recently revised best practice principles for IA follow-up. IA follow-up refers to any kind of undertaking that seeks to ‘understand the outcomes of projects or plans’ that have been subject to IA. To support the implementation of these principles worldwide, a global guidance document has been developed (published by IAIA in 2024). The aims of this paper are to report on the approach undertaken to this guidance, applying a Delphi method, and …

Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua

Research outputs 2022 to 2026

Recent advances in deep learning for hyperspectral image (HSI) classification have shown exceptional performance in resource management and environmental planning through land use classification. Despite these successes, challenges continue to persist in land use classification due to the complex topology of natural and man-made structures. The uneven distribution of land cover introduces spectral-spatial variability, causing inter- and intra-class similarity. To address this issue, this study adopts a hybrid approach that combines convolutional neural networks (CNNs) and a transformer model. The technique comprises three key components: a spectral-spatial convolutional module (SSCM), a spatial attention module (SAM), and a transformer module. Each …

Identifying And Filling Critical Knowledge Gaps Can Optimize Financial Viability Of Blue Carbon Projects In Tidal Wetlands, Tim J.B. Carruthers, S. Beaux Jones, Megan K. Terrell, Jonathan F. Scheibly, Brendan J. Player, Valerie A. Black, Justin R. Ehrenwerth, Patrick D. Biber, Rod M. Connolly, Steve Crooks, Jason P. Curole, Kelly M. Darnell, Alyssa M. Dausman, Allison L. Dejong, Shawn M. Doyle, Christopher R. Esposito, Daniel A. Friess, James W. Fourqurean, Ioannis Y. Georgiou, Gabriel D. Grimsditch, Songjie He, Eva R. Hillmann, Guerry O. Holm, Jennifer Howard, Hoonshin Jung, Stacy D. Jupiter, Paul S. Lavery

Research outputs 2022 to 2026

One of the world’s largest “blue carbon” ecosystems, Louisiana’s tidal wetlands on the US Gulf of Mexico coast, is rapidly being lost. Louisiana’s strong legal, regulatory, and monitoring framework, developed for one of the world’s largest tidal wetland systems, provides an opportunity for a programmatic approach to blue carbon accreditation to support restoration of these ecologically and economically important tidal wetlands. Louisiana’s coastal wetlands span ∼1.4 million ha and accumulate 5.5–7.3 Tg yr−1 of blue carbon (organic carbon), ∼6%–8% of tidal marsh blue carbon accumulation globally. Louisiana has a favorable governance framework to advance blue carbon accreditation, due to centralized …

Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Remote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions. However, shifting to renewable energy sources introduces uncertainty challenges for low-inertia stand-alone systems. In this paper, we propose a two-stage energy management strategy to address the uncertainties of wind generation and load consumption while minimizing operational expenses. Furthermore, the study explores the integration of multi-carrier energy networks, in this case electricity and gas, to enhance the reliability of hybrid energy systems. Two modeling methods are proposed to tackle the uncertainties. First, a …

Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter

Research outputs 2022 to 2026

Embodied AI aims to develop robots that can understand and execute human language instructions, as well as communicate in natural languages. On this front, we study the task of generating highly detailed navigational instructions for the embodied robots to follow. Although recent studies have demonstrated significant leaps in the generation of step-by-step instructions from sequences of images, the generated instructions lack variety in terms of their referral to objects and landmarks. Existing speaker models learn strategies to evade the evaluation metrics and obtain higher scores even for low-quality sentences. In this work, we propose SAS (Spatially-Aware Speaker), an instruction generator …

Identifying And Promoting Qualitative Methods For Impact Assessment, Heidi Walker, Jenny Pope, Angus Morrison-Saunders, Alan Bond, Alan P. Diduck, A. John Sinclair, Brendan Middel, Francois Retief

Research outputs 2022 to 2026

Qualitative methods for impact assessment (IA) represent a broad spectrum of approaches that are important for realising effective IA practice. The purpose of this paper is to identify and promote qualitative methods that are available for use in contemporary and future (next-generation) IA processes. From an extensive literature review, an international survey (145 responses), expert interviews (48 interviewees), and a workshop attended by 27 IA practitioners, 17 qualitative method categories were identified. These were further subdivided into three classes: conventional qualitative methods, highly participatory methods, and mixed methods. Each method is described, and an indication given of how each can …

Students' Preferences For Setting And/Or Mixed-Ability Grouping In Secondary School Physical Education In England, Shaun D. Wilkinson, Dawn Penney

Research outputs 2022 to 2026

There is an extensive international literature on different forms of ability grouping in schools, much of which describes their impact on students' academic achievement, motivation, self-concept and/or attitudes towards learning. Comparatively little research has focused on students' perspectives of these practices, while the research that has been conducted has primarily focused on mathematics, English and science. There is a conspicuous and arguably significant absence of research that explores students' perspectives on different forms of ability grouping in other areas of the school curriculum, including physical education (PE). In contrast to the relative privacy of classroom-based subjects, students' bodies, physical competencies …

The Ithildin Library For Efficient Numerical Solution Of Anisotropic Reaction-Diffusion Problems In Excitable Media, Desmond Kabus, Marie Cloet, Christian Zemlin, Olivier Bernus, Hans Dierckx

2020-Current year OA Pubs

Ithildin is an open-source library and framework for efficient parallelized simulations of excitable media, written in the C++ programming language. It uses parallelization on multiple CPU processors via the message passing interface (MPI). We demonstrate the library's versatility through a series of simulations in the context of the monodomain description of cardiac electrophysiology, including the S1S2 protocol, spiral break-up, and spiral waves in ventricular geometry. Our work demonstrates the power of Ithildin as a tool for studying complex wave patterns in cardiac tissue and its potential to inform future experimental and theoretical studies. We publish our full code with this …