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Automated methods for diagnosis of Parkinson’s disease and predicting severity level

- Ayaz, Zainab, Naz, Saeeda, Khan, Naila, Razzak, Imran, Imran, Muhammad

  • Authors: Ayaz, Zainab , Naz, Saeeda , Khan, Naila , Razzak, Imran , Imran, Muhammad
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Neural Computing and Applications Vol. 35, no. 20 (2023), p. 14499-14534
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  • Description: The recent advancements in information technology and bioinformatics have led to exceptional contributions in medical sciences. Extensive developments have been recorded for digital devices, thermometers, digital equipments and health monitoring systems for the automated disease diagnosis of different diseases. These automated systems assist doctors with accurate and efficient disease diagnosis. Parkinson’s disease is a neurodegenerative disorder that affects the nervous system. Over the years, numerous efforts have been reported for the efficient automatic detection of Parkinson’s disease. Different datasets including voice data samples, radiology images, and handwriting samples and gait specimens have been used for analysis and detection. Techniques such as machine learning and deep learning have been used broadly and reported promising results. This review paper aims to provide a comprehensive survey of the use of artificial intelligence for Parkinson’s disease diagnosis. The available datasets and their various properties are discussed in detail. Further, a thorough overview is provided for the existing algorithms, methods and approaches utilizing different datasets. Several key peculiarities and challenges are also provided based on the comprehensive literature review to diagnose a healthy or unhealthy person. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Autoregressive models for biomedical signal processing

- Haderlein, Jonas, Peterson, Andre, Burkitt, Anthony, Mareels, Iven, Grayden, David

Behavioural indicators of compassionate nursing care of individuals with complex needs : a naturalistic inquiry

- Younas, Ahtisham, Porr, Caroline, Maddigan, Joy, Moore, Julia, Navarro, Pablo, Whitehead, Dean

  • Authors: Younas, Ahtisham , Porr, Caroline , Maddigan, Joy , Moore, Julia , Navarro, Pablo , Whitehead, Dean
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Clinical Nursing Vol. 32, no. 13-14 (2023), p. 4024-4036
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  • Description: Aims and objectives: To explore behavioural indicators of compassionate nursing care from the perspectives of individuals with multimorbidities and complex needs. Background: Complex patients are individuals with multimorbidity and/or mental health concerns, andoften with medication and drug-related problems requiring ongoing person-centered care, mental health interventions, and family and community resources. They are frequent consumers of health-care services and it is documented that these patients experience discrimination and substandard care. Compassionate care can improve patient care experiences and health outcomes. However, missing is the guidance on how to provide compassionate care for this population from the perspectives of complex patients. Design: A qualitative descriptive approach was conducted in eastern Canada from December 2020–April 2021. The COREQ guidelines were followed for reporting. Methods: Data from in-person and virtual semi-structured interviews with 23 individuals having experiences as complex patients were analysed using reflexive thematic analysis. Among them 19 were homeless and lived in a shelter. Findings: Six indicators of compassionate nursing care were generated: sensitivity, awareness, a non-judgmental approach, a positive demeanour, empathic understanding, and altruism. Conclusions: Individuals perceived that nurses who acknowledge personal biases are better at providing compassionate care by manifesting compassion through their genuine and selfless interest in the complicated health problems and underlying socio-cultural determinants of each patient. Kindness, positivity, and a respectful nursing approach elicit openness and the sharing of heartfelt concerns. Relevance to clinical practice: Comprehensive health assessment, dedicated efforts to know the patient as a human being, and listening to the patient's preferences can improve health outcomes among individuals with complex needs. Healthcare administrators can effect the change by supporting nurses to address complex health and social care needs with compassion. Patient or public contribution: Patients and healthcare professionals helped in data collection at the community care centre. © 2022 John Wiley & Sons Ltd.

Being private, big 4 auditors, and debt raising

- Sharpe, Wen, Carey, Peter, Zhang, Hong

  • Authors: Sharpe, Wen , Carey, Peter , Zhang, Hong
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Accounting and Finance Vol. 63, no. 2 (2023), p. 2295-2345
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  • Description: This study investigates the role of auditor choice (Big 4/Non-Big 4) in debt financing for private and public firms. We find private firms have less access to debt than public firms, and Big 4 auditors support debt raising in both private and public firms. Consistent with private firms facing greater information asymmetry, Big 4 auditors are more important for debt raising in private firms than in public firms. The benefit of appointing Big 4 auditors for private firms' debt raising is greater in the opaque information environment of the global financial crisis. It is also greater when firms are smaller, younger, or have poorer financial reporting quality. We also find evidence consistent with Big 4 auditors mitigating agency conflicts and enhancing debt raising when ownership concentration is higher in private firms. © 2022 The Authors. Accounting & Finance published by John Wiley & Sons Australia, Ltd on behalf of Accounting and Finance Association of Australia and New Zealand.

Benchmark23 : undergraduate visual arts

  • Date: 2023
  • Type: Text , Artwork , Visual art work
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  • Description: BENCHMARK23 UNDERGRADUATE VISUAL ARTS THU 20 JUL - SUN 13 AUG 2023 Please join us for the students' exhibition opening on Fri 21 July @5, for 5.30pm. All welcome! An important annual Arts Academy Visual Arts undergraduate students’ exhibition, BENCHMARK showcases a rich mix of works of art completed individually and collaboratively across a broad range of media and studio areas, including painting, printmaking, ceramics and digital media. Here, students not only illustrate high levels of creative skill and ingenuity but also reveal complex concepts and ideas that underpin dynamic approaches, styles and interpretations. *OPEN FOR 'OPEN DAY' SUN 13 AUG 2023 Image: Peta Kalisperis Untitled, 2023 linoprint on paper H76 X W56 cm Courtesy the artist

Benchmarking Australian enabling programs for a national framework of standards, a practice report

- Davis, Charmaine, Cook, Chris, Syme, Suzi, Dempster, Sarah, Duffy, Lisa, Hattam, Sarah, Lambrinidis, George, Lawson, Kathy, Levy, Stuart

  • Authors: Davis, Charmaine , Cook, Chris , Syme, Suzi , Dempster, Sarah , Duffy, Lisa , Hattam, Sarah , Lambrinidis, George , Lawson, Kathy , Levy, Stuart
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Student Success Vol. 14, no. 2 (2023), p. 41-49
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  • Description: Enabling education programs in Australia assist students, who would otherwise have been excluded from higher education, to transition into undergraduate study. These programs emerged independently in response to the needs of individual universities and the varying cohorts of students they serve. The exclusion of these programs from the Australian Qualifications Framework (AQF) has meant they remain unregulated, with no national framework for standards. The development of academic standards is a dynamic, consensus driven process, and benchmarking provides a method through which academics from across institutions can work in partnership to reach shared understandings and improve and align practices. This practice report outlines the results of the first comprehensive cross-institutional benchmarking project involving nine Australian universities and demonstrates there is shared understanding of the standards of enabling programs between institutions. These findings will contribute to the establishment of national standards for enabling programs in Australia. ©The Author/s 2023.

Between a rock and a hard place : site selection for Brush-tailed Rock-wallaby (Petrogale penicillata) translocations using an explicit decision-making process

- Mathews, Emily

  • Authors: Mathews, Emily
  • Date: 2023
  • Type: Text , Thesis , Masters
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  • Description: Translocation programs are used in species conservation, but their success rates, particularly in Australia, are low. The poor outcomes for translocation programs are commonly attributed to a lack of information about habitat requirements, especially for rare and endangered species. To address this, the identification of suitable release sites using analytical methods such as Habitat Suitability Models (HSM), has become common. Since biodiversity losses are predicted to increase in the future, effective strategies to reduce species decline are required. Evidence-based decisions and scientific data to support conservation decision-making is paramount in conservation efforts. Once widely distributed across the mountainous country of south-eastern Australia, the distribution of the Brush-tailed Rock-wallaby (BTRW) has contracted particularly within the southern extent of their range. Considered critically endangered in Victoria and extinct in the Australian Capital Territory (ACT), it is more important than ever that the habitat requirements of the BTRW are understood to inform future translocations and the protection of this species in the wild. In this study, an explicit decision-making process was combined with Habitat Suitability Modelling (HSM) and ground-truthing methods to inform potential Brush-tailed Rock-wallaby (BTRW) translocations sites within Victoria and the ACT. Although this study is not the first of its kind to use HSM to predict BTRW habitat suitability, it is the first of its kind to apply an explicit decision-making process at two key stages: 1. to inform the selection of key physical and management attributes to be used in a HSM; and 2. to prioritise sites, within experts’ local knowledge areas, for ground-truthing By combining HSM and an explicit decision-making process, this study has been able to identify six suitable and two highly suitable habitat for BTRW across Victoria and the ACT. The use of an explicit decision-making process and ground-truthing methods to validate the model outputs and prioritise sites for ground-truthing has ensured that the final ranking of potential candidate sites can be reliably used by the Southern Brush-tailed Rock-wallaby Recovery Team to inform future translocations.
  • Description: Masters by Research

Beyond Covid-19 : women entrepreneurs and e-commerce policy in the Asia-Pacific

- Braun, Patrice, Birdthistle, Naomi, Flynn, Antoinette

Beyond survival : strengthening community-based support for parents receiving a family service intervention

- Goff, Rachel, Sadowski, Christina, Bagley, Kerryn

  • Authors: Goff, Rachel , Sadowski, Christina , Bagley, Kerryn
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Child and Family Social Work Vol. 28, no. 2 (2023), p. 491-502
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  • Description: This paper presents parents' experiences of community support and their recommendations for how their communities, and the services within them, might support their families. Generated through a human-centred design methodology and using a desire-centred framework, the findings suggest that parents receiving a family service require support invoking feelings of intimacy, trust, reciprocity, inclusivity, connection and belonging. Parents' recommendations for community support include addressing material and attitudinal constraints impacting on engagement with services; creating non-judgmental services tailored to their needs but accessed as a last resort; and creating peer-based opportunities to support each other. Parents reflect that moving beyond basic survival of risk and vulnerability to a position where thriving is possible requires purposeful integration of parent's existing and desired community into service interventions. Facilitating deliberate change at the intersection of community and service support is pertinent to current and future social work policy and practice. Wider opportunities for understanding and enabling the needs and aspirations of parents, which are often overlooked because of a focus on addressing risk and vulnerability, are considered. © 2022 The Authors. Child & Family Social Work published by John Wiley & Sons Ltd.

Bidialectal CALD learners of English : implications on bilingual language disorders and differential diagnosis1

- Han, Weifeng, Brebner, Chris

  • Authors: Han, Weifeng , Brebner, Chris
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Typical and Atypical Language Development in Cultural and Linguistic Diversity Chapter 10 p. 195-210
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  • Description: Bidialectal learners are found to have better language awareness than monodialectal speakers in their first language (L1). However, few studies have investigated the role of L1 bidialectism in second language (L2) acquisition. Therefore, little is known as to whether error patterns in L2 are caused by learners’ diverse L1 dialectal backgrounds. This study investigates the role of L1 bidialectism on L2, particularly the syntax-semantics interface. Participants were 78 L1-monodialectal (Mandarin) and 79 L1-bidialectal (Mandarin and Wu) English L2 learners. All participants completed a sentence-picture matching task of 40 sentences that were different at the syntax-semantics interface between L1 and L2. The participants performing in the top and bottom 10% were interviewed. The results were both quantitatively and qualitatively analysed. An L1 bidialectal advantage in comprehension at the L2 syntax-semantics interface was found when the interface yields more readings in L2 than in L1. This study provides evidence that L1 bidialectism is an important factor to consider in second language acquisition and speech-language pathology studies. For clinicians, this provides evidence that bidialectism may also impact culturally and linguistically diverse children’s L2 performance and should be considered when making a differential diagnosis between language differences and disorders. © 2024 selection and editorial matter, Weifeng Han and Chris Brebner; individual chapters, the contributors.

Bilateral insider threat detection : harnessing standalone and sequential activities with recurrent neural networks

- Manoharan, Phavithra, Hong, Wei, Yin, Jiao, Zhang, Yanchun, Ye, Wenjie, Ma, Jiangang

Biosynthetic organic solar cell biorefinery to fulfil Australian baseload power demands

- Ghayur, Adeel

  • Authors: Ghayur, Adeel
  • Date: 2023
  • Type: Text , Conference paper
  • Relation: 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023, Wollongong, 3-6 December 2023, 2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023
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  • Description: Renewable energy technologies are fundamental to mitigating climate change. However, the intermittent nature associated with wind and solar technologies is the biggest hurdle to their implementation in baseload grid. The other two issues are incorporation of fossil fuel derived materials in their synthesis and end-of-life recycling. These issues for solar panels have been addressed here. In this study, for the first time, a pathway for the incorporation of renewable organic materials in the synthesis of organic solar cells has been developed. While this novel biorefinery concept has been developed for Australia, it is just as applicable in other regions. In this concept, 650,000 metric tons of non-food bio-waste is consumed for the production of organic materials that manufacture solar cells with 14 GW nameplate capacity, annually. In the State of Victoria (Australia) this is sufficient for 2 GW of baseload capacity. In this baseload 12 GW is earmarked for electrolytic hydrogen production to generate 2 GW of fuel cell based power for 18 h, daily, at 50% roundtrip efficiency. The land area required for such a 2 GW baseload solar farm is 200 km2. These results show that less than 300,000 km2 of area (0.2% of Earth's surface) is needed to transition the entire planet's power grid to solar baseload and 150 biorefineries can produce enough organic solar panels to achieve this transition in ten years. At their end-of-life, these solar panels are easier to recycle, when compared to silicon solar panels due to their organic materials. © 2023 IEEE.

Blockchain and RFID for baggage movement in the aviation industry

- Dubey, Suchi, Singh, Anurag, Riaz, Shoaib, Shukla, Vinod

  • Authors: Dubey, Suchi , Singh, Anurag , Riaz, Shoaib , Shukla, Vinod
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Emerging Applications of Blockchain Technology Chapter 16 p. 291-304
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  • Description: Airlines are liable for lost baggage claims, damaged luggage, or lost baggage in transit. Every year hundreds of millions are lost in settling the claims of the traveler related to baggage. This causes inconvenience and dissatisfaction for the traveler with airlines and baggage movements. For the long-distance multiple stop overs and connecting flights, travelers are always worried about their baggage check in to the connecting flights. With the help of the block chain technology, it is impossible to manipulate and tamper data and records and hence it creates traceability, transparency, and immutability. The paper discusses the proposed model of integrating RFID along with block chain technology in the baggage claim and proposed a conceptual model to trace the journey the baggage so as to locate without delay. The model will integrate various departments, verticals that operate on the airports and create a seamless service of transparency for promoting efficiency and reduces losses. In the proposed model third party service is involved which facilitate traveler in baggage drop off on to their selected point of collection within a city. After required standard operating procedures at the drop off location traveler can directly report to airport as per their reporting time. The baggage will be assigned an RFID and will be put under block chain which will be simultaneously updated with time stamped activity on block chain as per the movement of baggage. As each node will be having a copy of baggage details it is very easy for the airline to track the movement of baggage in a transparent and efficient way. Proposed models discuss a model of baggage drop off on selected location which in turn will be put under block chain for easy traceability. With this model airline companies can improve collaboration, provide more convenient services and above all reduce the cost incurred in baggage claim drastically. The paper discusses the block chain model for traveler which can be applied in cargo handling in future. © 2023 Nova Science Publishers, Inc.

Blockchain technology and application : an overview

- Dong, Shi, Abbas, Khushnood, Li, Meixi, Kamruzzaman, Joarder

  • Authors: Dong, Shi , Abbas, Khushnood , Li, Meixi , Kamruzzaman, Joarder
  • Date: 2023
  • Type: Text , Journal article
  • Relation: PeerJ Computer Science Vol. 9, no. (2023), p.
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  • Description: In recent years, with the rise of digital currency, its underlying technology, blockchain, has become increasingly well-known. This technology has several key characteristics, including decentralization, time-stamped data, consensus mechanism, traceability, programmability, security, and credibility, and block data is essentially tamper-proof. Due to these characteristics, blockchain can address the shortcomings of traditional financial institutions. As a result, this emerging technology has garnered significant attention from financial intermediaries, technology-based companies, and government agencies. This article offers an overview of the fundamentals of blockchain technology and its various applications. The introduction defines blockchain and explains its fundamental working principles, emphasizing features such as decentralization, immutability, and transparency. The article then traces the evolution of blockchain, from its inception in cryptocurrency to its development as a versatile tool with diverse potential applications. The main body of the article explores fundamentals of block chain systems, its limitations, various applications, applicability etc. Finally, the study concludes by discussing the present state of blockchain technology and its future potential, as well as the challenges that must be surmounted to unlock its full potential. © Copyright 2023 Dong et al

Bookend : outdoor environmental education in precarious times

- Jukes, Scott

  • Authors: Jukes, Scott
  • Date: 2023
  • Type: Text , Book chapter
  • Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 12 p. 223-232
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  • Description: This final chapter brings an inevitable end to the book, but not necessarily the project. I tie together the many of the ideas touched upon throughout by noting the two main contributions the book offers. Namely, more-than-human pedagogies as an educational offering and immanent praxiography as methodological approach. I present a condensed articulation of the idea of more-than-human pedagogies, linking to the various other chapters and examples. Following this, I discuss immanent praxiography, including some guiding principles for enactment. This chapter ends with a coda that reflects on the project. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Bundle enrichment method for nonsmooth difference of convex programming problems

- Gaudioso, Manilo, Taheri, Sona, Bagirov, Adil, Karmitsa, Napsu

  • Authors: Gaudioso, Manilo , Taheri, Sona , Bagirov, Adil , Karmitsa, Napsu
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Algorithms Vol. 16, no. 8 (2023), p.
  • Relation: http://purl.org/au-research/grants/arc/DP190100580
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  • Description: The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of two convex piecewise affine functions, is formulated. The (global) minimization of the model is tackled by solving a set of convex problems whose cardinality depends on the number of linearizations adopted to approximate the second DC component function. The new bundle management policy distributes the information coming from previous iterations to separately model the DC components of the objective function. Such a distribution is driven by the sign of linearization errors. If the displacement suggested by the model minimization provides no sufficient decrease of the objective function, then the temporary enrichment of the cutting plane approximation of just the first DC component function takes place until either the termination of the algorithm is certified or a sufficient decrease is achieved. The convergence of the BEM-DC method is studied, and computational results on a set of academic test problems with nonsmooth DC objective functions are provided. © 2023 by the authors.

Caffeine does not influence persistent inward current contribution to motoneuron firing

- Mackay, Karen, Orssatto, Lucas, Polman, Remco, Van der Pols, Jolieke, Trajano, Gabriel

  • Authors: Mackay, Karen , Orssatto, Lucas , Polman, Remco , Van der Pols, Jolieke , Trajano, Gabriel
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Neurophysiology Vol. 130, no. 6 (2023), p. 1529-1540
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  • Description: The purpose of this study was to investigate whether caffeine consumption would change persistent inward current (PIC) contribution to motoneuron firing at increased contraction intensities and after repetitive sustained maximal contractions. Before and after the consumption of 6 mg·kg-1 of caffeine or placebo, 16 individuals performed isometric triangular-shaped ramp dorsiflexion contractions (to 20% and 40% of peak torque), followed by four maximal contractions sustained until torque production dropped to 60% of maximum, and consecutive 20% triangular-shaped contractions. Tibialis anterior motor unit firing frequencies were analyzed from high-density surface electromyograms. PIC contribution to motor unit firing was estimated by calculating the delta frequency (DF) using the paired motor unit technique. Motoneuron peak firing frequencies at 20% and 40% contractions and total torque-time integral during the repetitive sustained maximal contractions were also assessed. DF increased 0.69 peaks per second (pps) (95% CI ¼ -0.98, -0.405; d ¼ -0.87) from 20% to 40% contraction intensities and reduced 0.85 pps (95% CI ¼ 0.66, 1.05; d ¼ 0.99) after the repetitive sustained maximal contractions, regardless of caffeine consumption. Participants produced 337 Nm·s (95% CI ¼ 49.9, 624; d ¼ 0.63) more torque integral during the repetitive sustained maximal contractions after caffeine consumption. A strong repeated-measures correlation (r ¼ 0.61; 95% CI ¼ 0.49, 0.69) was observed between reductions of DF and peak firing frequencies after the repetitive sustained maximal contractions. PIC contribution to motoneuron firing increases from 20% to 40% contraction intensities, with no effect of caffeine (on rested tibialis anterior). Repetitive sustained maximal contractions reduced PIC contribution to motoneuron firing, regardless of caffeine or placebo consumption, evidencing that changes in intrinsic motoneuron properties contributed to performance loss. Caffeine-attenuated reduction of torque production capacity was unlikely mediated by PICs. © 2023 American Physiological Society. All rights reserved.

Cancer classification utilizing voting classifier with ensemble feature selection method and transcriptomic data

- Khatun, Rabea, Akter, Maksuda, Islam, Md Manowarul, Uddin, Md Ashraf, Talukder, Md Alamin, Kamruzzaman, Joarder, Azad, Akm, Paul, Bikash, Almoyad, Muhammad, Aryal, Sunil, Moni, Mohammad

  • Authors: Khatun, Rabea , Akter, Maksuda , Islam, Md Manowarul , Uddin, Md Ashraf , Talukder, Md Alamin , Kamruzzaman, Joarder , Azad, Akm , Paul, Bikash , Almoyad, Muhammad , Aryal, Sunil , Moni, Mohammad
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Genes Vol. 14, no. 9 (2023), p.
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  • Description: Biomarker-based cancer identification and classification tools are widely used in bioinformatics and machine learning fields. However, the high dimensionality of microarray gene expression data poses a challenge for identifying important genes in cancer diagnosis. Many feature selection algorithms optimize cancer diagnosis by selecting optimal features. This article proposes an ensemble rank-based feature selection method (EFSM) and an ensemble weighted average voting classifier (VT) to overcome this challenge. The EFSM uses a ranking method that aggregates features from individual selection methods to efficiently discover the most relevant and useful features. The VT combines support vector machine, k-nearest neighbor, and decision tree algorithms to create an ensemble model. The proposed method was tested on three benchmark datasets and compared to existing built-in ensemble models. The results show that our model achieved higher accuracy, with 100% for leukaemia, 94.74% for colon cancer, and 94.34% for the 11-tumor dataset. This study concludes by identifying a subset of the most important cancer-causing genes and demonstrating their significance compared to the original data. The proposed approach surpasses existing strategies in accuracy and stability, significantly impacting the development of ML-based gene analysis. It detects vital genes with higher precision and stability than other existing methods. © 2023 by the authors.

Catching the catfish : exploring gender and the dark tetrad of personality as predictors of catfishing perpetration

- Lauder, Cassandra, March, Evita

  • Authors: Lauder, Cassandra , March, Evita
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Computers in Human Behavior Vol. 140, no. (2023), p.
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  • Description: Catfishing, the act of deceiving and exploiting another person online, can have significant negative impact on the target. To date, limited research has explored individual differences in perpetration of catfishing. We address this paucity by adopting an evolutionary psychology theoretical framework (the “cheater strategy” hypothesis) and exploring the utility of gender and the “Dark Tetrad” personality traits of psychopathy, sadism, Machiavellianism, and narcissism to predict catfishing perpetration. A sample of 664 participants (55.8% men, 40.3% women) with an average age of 28.84 years (SD = 9.60) were recruited via social media and completed an anonymous online questionnaire which comprised measures of personality and catfishing behaviours. Combined, the variables explained 62.6% of variance in catfishing perpetration. Results partially supported the hypotheses, with only psychopathy, sadism, and narcissism emerging as positive predictors of catfishing perpetration. Findings of the current study indicate that evolutionary psychology may be a useful theoretical framework when exploring antisocial online behaviours. Further, these findings provide crucial information regarding the psychological profile of a “catfish” and may have important practical implications by informing the prevention and management of this online behaviour. © 2022 Elsevier Ltd

Causal deep operator networks for data-driven modeling of dynamical systems

- Nghiem, Truong, Nguyen, Thang, Nguyen, Binh, Nguyen, Linh

  • Authors: Nghiem, Truong , Nguyen, Thang , Nguyen, Binh , Nguyen, Linh
  • Date: 2023
  • Type: Text , Conference paper
  • Relation: 2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023, Hybrid, Honolulu, 1-4 October 2023, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics p. 1136-1141
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  • Description: The deep operator network (DeepONet) architecture is a promising approach for learning functional operators, that can represent dynamical systems described by ordinary or partial differential equations. However, it has two major limitations, namely its failures to account for initial conditions and to guarantee the temporal causality - a fundamental property of dynamical systems. This paper proposes a novel causal deep operator network (Causal-DeepONet) architecture for incorporating both the initial condition and the temporal causality into data-driven learning of dynamical systems, overcoming the limitations of the original DeepONet approach. This is achieved by adding an independent root network for the initial condition and independent branch networks conditioned, or switched on/off, by time-shifted step functions or sigmoid functions for expressing the temporal causality. The proposed architecture was evaluated and compared with two baseline deep neural network methods and the original DeepONet method on learning the thermal dynamics of a room in a building using real data. It was shown to not only achieve the best overall prediction accuracy but also enhance substantially the accuracy consistency in multistep predictions, which is crucial for predictive control. © 2023 IEEE.