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Corrosion and coating defect assessment of Coal Handling and Preparation Plants (CHPP) using an ensemble of deep convolutional neural networks and decision-level data fusion

- Yu, Yang, Hoshyar, Azadeh, Samali, Bijan, Zhang, Guang, Rashidi, Maria, Mohammadi, Masoud

  • Authors: Yu, Yang , Hoshyar, Azadeh , Samali, Bijan , Zhang, Guang , Rashidi, Maria , Mohammadi, Masoud
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Neural Computing and Applications Vol. 35, no. 25 (2023), p. 18697-18718
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  • Description: In view of the problems of ineffective feature extraction and low detection accuracy in existing detection system, this study presents a novel machine vision-based approach composed of an ensemble of deep convolutional neural networks (CNNs) and improved Dempster-Shafer (D-S) theory-based data fusion to evaluate corrosion and coating defect of coal handling and preparation plants. To start with, the structural surface image is sent to each transferred CNN for initial defect identification. Then, an improved D-S fusion algorithm is proposed to combine the identification results from different CNNs, which are vectors consisting of statistical indicators of all the potential damage severity categories. The decision-level fusion of different CNNs can effectively improve image classification. To validate the performance of the proposed method, a dataset made of 3593 surface images with different defect severities captured from mining infrastructure in field is established together with data augmentation. The validation result demonstrates that the proposed method is able to effectively improve the recognition accuracy of defect severity and reduce the wrong recognition rate. Finally, the robustness of the proposed approach is also appraised by polluting the images with different types and intensities of noise, with satisfactory results. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Creative arts intervention in support of women experiencing a high-risk pregnancy : a qualitative descriptive thematic analysis

- Anolak, Helena, Lau, Farrah, Davis, Deborah, Browne, Jenny, Watt, Bec

  • Authors: Anolak, Helena , Lau, Farrah , Davis, Deborah , Browne, Jenny , Watt, Bec
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Sexual and Reproductive Healthcare Vol. 36, no. (2023), p.
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  • Description: Background: Mental illness can have negative effects on both the pregnant woman and her unborn child. Studies that use the creative arts as interventions have proven to be beneficial to women's antenatal mental health and wellbeing, however, these studies are limited and emergent. Music, drawing and narrative (MDN) is an established music therapy intervention, stemming from guided imagery and music (GIM), that has the potential to support positive mental health and wellbeing. Yet, to date, there have been limited studies on the use of this form of therapy with inpatient antenatal women. Aim: To describe antenatal inpatient women's experiences of participating in a MDN session. Methods: Qualitative data were collected from a sample of 12 inpatient pregnant women who participated in MDN group sessions of drawing to music. Post intervention interviews explored the mental and emotional health of participants. A thematic analysis of the transcribed interview data was performed. Findings: Through reflection women were supported to acknowledge both the positives and difficulties of pregnancy as well as establish meaningful connections through shared experience. These thematic findings highlighted that MDN enabled this group of pregnant women to better communicate their feelings, validate emotions, engage in positive distractions, develop greater connections, improve optimism, experience calmness, and learn from others. Conclusion: This project demonstrates that MDN may offer a viable method for supporting women experiencing high risk pregnancies. © 2023 Elsevier B.V.

Cyberbullying, mental health, and lesbian, gay, and bisexual youth with disabilities : intersectionalities and environmental risks

- Gates, Trevor, Bills, Kaycee, Bennett, Bindi, Kelly, Brian

  • Authors: Gates, Trevor , Bills, Kaycee , Bennett, Bindi , Kelly, Brian
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Journal of Child and Family Studies Vol. 32, no. 10 (2023), p. 3159-3166
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  • Description: Lesbian, gay, and bisexual youth with disabilities are at risk for being cyberbullied. Additionally, these risks can be compounded by other intersectional factors, such as cultural identity. Youth with multiple marginalized identities are at risk for stress, discrimination, and poor mental health outcomes as a result of bullying. However, research exploring the intersections between risk, sexual identity, and disability is sparse. In this article, we begin to address this gap in a diverse sample of lesbian, gay, and bisexual youth who have reported being cyberbullied in the Youth Risk Behavior Surveillance System. We discuss implications for child and family studies, identifying opportunities for further discussion on risk, mental health, and person-in-environment factors for lesbian, gay, and bisexual youth with disabilities. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Data evolution governance for ontology-based digital twin product lifecycle management

- Ren, Zijie, Shi, Jianhua, Imran, Muhammad

  • Authors: Ren, Zijie , Shi, Jianhua , Imran, Muhammad
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Industrial Informatics Vol. 19, no. 2 (2023), p. 1791-1802
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  • Description: Product lifecycle management (PLM) is an effective method for enhancing the market competitiveness of modern manufacturing industries. The digital twin is characterized by a profound integration of physics and information systems, which provides a technical means for integrating multisource information and breaking the time and space barrier of communication at each link of the lifecycle. Currently, however, the application of this technology focuses primarily on the product itself and 'service-oriented' application results. There is a lack of focus on twin data and its internal evolutionary mechanisms separately. In the management of global data resources, the benefits of digital twin technology cannot be fully realized. This article applies ontology technology in an innovative manner to the field of the digital twin to increase the reusability of twin data. Initially, a four-layered ontology-based twin data management architecture is presented. Then, a three-dimensional and three-granularity unified evolution model of full lifecycle twin data is proposed, as well as its ontology model. Then, the service mode of data components at each stage of the lifecycle is defined, a knowledge-sharing plane is established in the digital twin, and a data governance method based on ontology reasoning using data components on the shared plane is proposed. The ICandyBox simulation platform is then used to demonstrate the concept of the proposed method, and future research directions are proposed. © 2005-2012 IEEE.

Data-driven multi-resolution probabilistic energy and reserve bidding of wind power

- Hosseini, Seyyed, Toubeau, Jean-Francois, De Greve, Zacharie, Wang, Yi, Amjady, Nima, Vallee, Francois

  • Authors: Hosseini, Seyyed , Toubeau, Jean-Francois , De Greve, Zacharie , Wang, Yi , Amjady, Nima , Vallee, Francois
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE transactions on power systems Vol. 38, no. 1 (2023), p. 1-1
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  • Description: The current wind farm control schemes qualify wind power producers (WPPs) to provide balancing services in complement to energy in modern electricity markets. In this context, WPPs are responsible for real-time deviations in both energy and reserve market floors, which are settled at different time scales. WPPs should adjust their output to cope with fast wind variations, which are critical in the balancing stage. In this paper, we devise a reliable high-temporal-resolution day-ahead bidding framework for WPPs considering the ultra-short-term wind stochasticity. To that end, the model for the bidding strategy is enriched with a probabilistic constraint controlling the confidence level on reserve bids to enhance the reliability of the offered capacity. Additionally, an original Auxiliary Classifier Wasserstein Generative Adversarial Network (ACWGAN) is proposed to generate high-temporal-resolution wind speed scenarios to be embedded into the bidding framework. The numerical results firstly confirm the superiority of the proposed ACWGAN over the other GAN-based alternatives. Then, the effectiveness of the proposed data-driven method over its single-resolution counterpart and other scenario representation methods is verified regarding the minimization of the negative impact of wind variability on WPPs' profit and reliability of offered reserve bids.

Dating in the dark : vulnerable narcissism predicts inauthentic self-presentation in online dating

- Willis, Megan, Oliver, Eliza, March, Evita

  • Authors: Willis, Megan , Oliver, Eliza , March, Evita
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Telematics and Informatics Vol. 81, no. (2023), p.
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  • Description: The current study investigated whether Dark Triad traits (vulnerable and grandiose narcissism, primary and secondary psychopathy, and Machiavellianism views and tactics) predicted inauthentic self-presentation whilst dating online, and whether those who reported engaging in antisocial dating behaviours were higher on Dark Triad traits, and more likely to self-present inauthentically in online dating. Online daters (N = 313) were recruited via Prolific and completed measures to assess Dark Triad traits, inauthenticity, and antisocial dating behaviours (i.e., ghosting and breadcrumbing). Vulnerable narcissism was a significant predictor of online dating inauthentic self-presentation. No other Dark Triad traits emerged as significant predictors. Online dating inauthentic self-presentation was significantly higher for those who had breadcrumbed someone. Those who had ghosted someone had significantly greater vulnerable narcissism and secondary psychopathy, and those who had breadcrumbed someone had significantly greater vulnerable narcissism and Machiavellianism views than those who had not. As previous research has demonstrated that individuals high on vulnerable narcissism are more likely to perpetrate intimate partner violence, online daters should consider evidence of inauthenticity to be ‘red flags’ for potential harm as interactions continue. Especially given the current study demonstrated those who had previously ghosted and breadcrumbed were higher on vulnerable narcissism. © 2023 Elsevier Ltd

Design of energy storage for frequency stability in low-inertia power grid

- Akram, Umer, Mithulananthan, N, Shah, Rakibuzzaman, Alzahrani, Saeed

  • Authors: Akram, Umer , Mithulananthan, N , Shah, Rakibuzzaman , Alzahrani, Saeed
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Systems Journal Vol. 17, no. 3 (2023), p. 4763-4774
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  • Description: Short-term frequency instability is one of the major concerns in power systems with high percentage of converter-interfaced renewable energy sources. Energy storage system (ESS) has proven to be a viable solution for the problem of short-term frequency instability by fast frequency response (FFR). However, the appropriate location, size, and operating strategy of ESS are the main challenges for FFR. Power injection at some buses in large grids may lead to angular separation and instability. In addition, oversizing ESS could lead to huge investments without appropriate returns and under sizing may jeopardizes grid stability. Capacity estimation of ESS for FFR considering the suitable location and overall deployment strategies are missing in the current literature for large power grids. Hence, this research proposes a technique to place and size ESS for better FFR in power grids. The proposed technique consists of two steps. In the first step, a methodology based on frequency dynamic signature (FDS) is developed to identify the most suitable location. In the second step, the required capacity of the ESS is estimated based on a step reduction iterative algorithm (SRIA). SRIA and FDS consider the complete dynamics of power system components that affect the frequency dynamics of the system. The proposed methodology is thoroughly verified for various operating conditions in IEEE 39-bus using DIgSILENT PowerFactory. © 2007-2012 IEEE.

Detection and explanation of anomalies in healthcare data

- Samariya, Durgesh, Ma, Jiangang, Aryal, Sunil, Zhao, Xiaohui

  • Authors: Samariya, Durgesh , Ma, Jiangang , Aryal, Sunil , Zhao, Xiaohui
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Health Information Science and Systems Vol. 11, no. 1 (2023), p. 20-20
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  • Description: The growth of databases in the healthcare domain opens multiple doors for machine learning and artificial intelligence technology. Many medical devices are available in the medical field however, medical errors remain a severe challenge. Different algorithms are developed to identify and solve medical errors, such as detecting anomalous readings, anomalous health conditions of a patient, etc. However, they fail to answer why those entries are considered an anomaly. This research gap leads to an outlying aspect mining problem. The problem of outlying aspect mining aims to discover the set of features (a.k.a subspace) in which the given data point is dramatically different than others. In this paper, we present a framework that detects anomalies in healthcare data and then provides an explanation of anomalies. This paper aims to effectively and efficiently detect anomalies and explain why they are considered anomalies by detecting outlying aspects. First, we re-introduced four anomaly detection techniques and outlying aspect mining algorithms. Then, we evaluate the performance of anomaly detection techniques and choose the best anomaly detection algorithm. Later, we detect the top k anomaly as a query and detect their outlying aspect. Lastly, we evaluate their performance on 16 real-world healthcare datasets. The experimental results show that the latest isolation-based outlying aspect mining measure, SiNNE, has outstanding performance on this task and has promising results.

Development and validation of the feminist social identity scale

- Poll, Alex, Critchley, Christine

  • Authors: Poll, Alex , Critchley, Christine
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Current psychology Vol. 42, no. 15 (2023), p. 12614-12629
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  • Description: Feminist identity is a multidimensional construct, associated with significant physical and psychological outcomes. Despite this, it has previously been largely conceptualised and measured as unidimensional. To address this limitation, we developed a multidimensional measure of feminist identity using the framework of social identity theory. A total of 1493 respondents (81.8% women, 16.6% men, 1.5% other genders) aged between 18 and 75 years ( M= 31.55, SD =11.37) completed an online survey. Following Confirmatory Factor Analysis, expert evaluation ( N = 21), and testing of the model in a separate sample ( N = 504), the Feminist Social Identity Scale (FSIS) was created. The FSIS is comprised of 36-items which measure feminist identity across 12 subscales and has excellent internal consistency, test-retest reliability, and validity indices. Latent Class Analysis revealed that the FSIS successfully distinguishes between different levels of feminist identity. The FSIS will aid future researchers to examine feminist identity as a multidimensional construct, avoiding the limitations of single construct measures.

Development of a novel behavioral sleep medicine education workshop designed to increase trainee psychologists’ knowledge and skills in insomnia management

- Meaklim, Hailey, Rehm, Imogen, Junge, Moira, Monfries, Melissa, Kennedy, Gerard, Bucks, Romola, Meltzer, Lisa, Jackson, Melinda

  • Authors: Meaklim, Hailey , Rehm, Imogen , Junge, Moira , Monfries, Melissa , Kennedy, Gerard , Bucks, Romola , Meltzer, Lisa , Jackson, Melinda
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Behavioral Sleep Medicine Vol. 21, no. 6 (2023), p. 787-801
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  • Description: Objectives: Despite the clear influence of poor sleep on mental health, sleep education has been neglected in psychology training programs. Here, we develop a novel behavioral sleep medicine (BSM) education workshop, the Sleep Psychology Workshop, designed for integration within graduate psychology programs. We also examined the potential efficacy and acceptability of the workshop to upskill trainee psychologists in sleep and insomnia management. Methods: The Sleep Psychology Workshop was developed using a modified Delphi Method. Eleven trainee psychologists completing their Master of Psychology degrees (90% female, 24.4 ± 1.6 years old) attended the workshop, delivered as three, two-hour lectures (total of six hours). Sleep knowledge, attitudes, and practice assessments were completed pre-and post-intervention using the GradPsyKAPS Questionnaire. A focus group and 6-month follow-up survey captured feedback and qualitative data. Results: Trainees’ sleep knowledge quiz scores (% correct) increased from 60% to 79% pre- to post-workshop (p =.002). Trainees’ self-efficacy to use common sleep-related assessment instruments and empirically supported interventions to manage sleep disturbances increased, along with their confidence to manage insomnia (all p < .02). Participant feedback was positive, with 91% of trainees rating the workshop as “excellent” and qualitative data highlighting trainees developing practical skills in BSM. Six months post-intervention, 100% of trainees endorsed routinely asking their clients about sleep, with 82% reporting improvements in their own sleep. Conclusions: The Sleep Psychology Workshop is a potentially effective and acceptable introductory BSM education program for trainee psychologists, ready for integration within the graduate psychology curriculum. © 2023 Taylor & Francis Group, LLC.

Diatom index of Galela Lake, Halmahera, Indonesia in relation to human activities

- Soeprobowati, Tri, Saraswati, Tyas, Jumari, Jumari, Sari, Kenanga, Gell, Peter

  • Authors: Soeprobowati, Tri , Saraswati, Tyas , Jumari, Jumari , Sari, Kenanga , Gell, Peter
  • Date: 2023
  • Type: Text , Journal article
  • Relation: International Journal of Environmental Science and Technology Vol. 20, no. 7 (2023), p. 7707-7722
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  • Description: Diatoms, silicious microalgae, have been used successfully as bioindicators of water quality assessment in aquatic ecosystems. Diatoms have a degree of tolerance to the water quality and some diatoms are a good indicator for several water quality variables. Diatom indices have been developed to assess river water quality, mostly in Europe. This study aims to apply diatom indices developed in Europe for the tropical lake of Galela adjacent to residential areas influenced by human activities. Galela Lake is one of the biggest lakes in Halmahera Utara, Indonesia with its main functions being domestic water supply, irrigation, fisheries, and tourism. Human activities have impacted the area around the lake. The 90-cm and 85-cm long sediment cores were collected using a piston corer from Site 1 and 2, respectively. Sediment samples were sliced every 5 cm, separated from sediment by adding HCl and H2O2. The diatom valves were identified under a microscope with 1,000 × magnification. The water quality status of each layer was inferred with diatom indices performed using OMNIDIA software version 6.0. Forty-nine and 63 diatoms species were identified from Site 1 and Site 2, respectively. The number of species and diversity of diatoms was higher in the lower layers than those in the upper layers. The preserved diatom assemblages reflect past physical and chemical water quality. Generic Diatom Index and Specific Pollution Sensitivity Index provided the best evidence for change in Galela Lake—they integrated 70–100% of the diatom taxa from the sediment core samples. © 2022, The Author(s) under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University.

Digital data and practice change: the impact of innovative web portals on user knowledge building and decision-making processes

- Murphy, Angela, Ollerenshaw, Alison

  • Authors: Murphy, Angela , Ollerenshaw, Alison
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Online Information Review Vol. 47, no. 4 (2023), p. 732-748
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  • Description: Purpose: The impact of innovative web portals on users, from access to application, is gaining interest as the global call for increased data availability gains momentum. This study reports on the perceptions of portal end users about usage and access to digital data across a range of fields of practice. Design/methodology/approach: Data were collected and analysed from interviews (n = 132) and email feedback (n = 235) from end users of interoperable spatial knowledge web portals. Findings: Data reveal that users attribute importance to ease of access and applicability, and to confidence and trust in data. The acquisition of data assists with reducing knowledge silos, facilitates knowledge sharing and decision-making. Digital data portals enable the building of stronger collaborations between different groups of individuals and communities leading to improved outcomes and more positive developments across varied discipline and practice areas. Practical implications: Recommendations for developing online portals to optimise knowledge transfer and associated benefits, for users, are offered. Originality/value: By collecting extensive qualitative data drawn from the experiences of end users of digital data portals, this paper provides new insights, thereby addressing a knowledge gap in the published literature about the use of technology uptake and the application of online data for practice and industry benefit. © 2022, Emerald Publishing Limited.

Divergent molecular networks program functionally distinct CD8+skin-resident memory T cells

- Park, Simone, Christo, Susan, Wells, Alexandria, Gandolfo, Luke, Zaid, Ali, Alexandre, Yannick, Burn, Thomas, Schröder, Jan, Collins, Nicholas, Han, Seong-Ji, Guillaume, Stephane, Evrard, Maximilien, Castellucci, Clara, Davies, Brooke, Osman, Maleika, Obers, Andreas, McDonald, Keely, Wang, Huimeng, Mueller, Scott, Kannourakis, George, Berzins, Stuart, Mielke, Lisa, Carbone, Francis, Kallies, Axel, Speed, Terence, Belkaid, Yasmine, MacKay, Laura

Do the qualifications of vocational teachers make a difference to their teaching?

- Smith, Erica, Tuck, Jacqueline

  • Authors: Smith, Erica , Tuck, Jacqueline
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Research in Post-Compulsory Education Vol. 28, no. 1 (2023), p. 1-25
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  • Description: A survey of over 500 teachers and trainers in the Australian Vocational Education and Training (VET) sector was carried out to examine whether their teaching practices and approaches varied with their qualification levels. The survey, carried out with teachers and trainers from different types of training providers–public and private–formed a major part of a larger research project on the topic. The project was carried out because of an overall decline in the qualification levels of the VET teaching workforce over a 20-year period, and national debate on the appropriate qualification level. Analysis of the survey results showed that those with pedagogical qualifications above the regulatory minimum were more confident overall, and were more able to deal with the demands of different teaching contexts and of diverse learner groups. Teachers with higher level qualifications also reported, in qualitative questions, specific gains from their qualifications. They were also more likely to undertake professional development, challenging an often-cited view that professional development activities can compensate for lower qualification levels. The findings have implications for policy development in Australia and elsewhere. © 2023 Association for Research in Post-Compulsory Education.

Dynamics of transforming growth factor

- Wu, Siqi, Luwor, Rodney, Zhu, Hong-Jian

EAGLE : contrastive learning for efficient graph anomaly detection

- Ren, Jing, Hou, Mingliang, Liu, Zhixuan, Bai, Xiaomei

  • Authors: Ren, Jing , Hou, Mingliang , Liu, Zhixuan , Bai, Xiaomei
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Intelligent Systems Vol. 38, no. 2 (2023), p. 55-63
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  • Description: Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies extending deep learning-based methods have shown preferable performance on graph anomaly detection. However, existing methods lack efficiency that is definitely necessary for embedded devices. Toward this end, we propose an Efficient Anomaly detection model on heterogeneous Graphs via contrastive LEarning (EAGLE) by contrasting abnormal nodes with normal ones in terms of their distances to the local context. The proposed method first samples instance pairs on meta-path level for contrastive learning. Then, a Graph AutoEncoder-based model is applied to learn informative node embeddings in an unsupervised way, which will be further combined with the discriminator to predict the anomaly scores of nodes. Experimental results show that EAGLE outperforms the state-of-the-art methods on three heterogeneous network datasets. © 2001-2011 IEEE.

Edge connectivity of simplicial polytopes

- Pilaud, Vincent, Pineda-Villavicencio, Guillermo, Ugon, Julien

  • Authors: Pilaud, Vincent , Pineda-Villavicencio, Guillermo , Ugon, Julien
  • Date: 2023
  • Type: Text , Journal article
  • Relation: European Journal of Combinatorics Vol. 113, no. (2023), p.
  • Relation: https://purl.org/au-research/grants/arc/DP180100602
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  • Description: We show that the graph of a simplicial polytope of dimension d ≥ 3 has no nontrivial minimum edge cut with fewer than d(d+1)/2 edges, hence the graph is min{δ,d(d+1)/2}-edgeconnected where δ denotes the minimum degree. When d = 3, this implies that every minimum edge cut in a plane triangulation is trivial. When d ≥ 4, we construct a simplicial d-polytope whose graph has a nontrivial minimum edge cut of cardinality d(d + 1)/2, proving that the aforementioned result is best possible.
  • Description: We show that the graph of a simplicial polytope of dimension d

Education leads to increased adherence to the ‘Australian Competency Standards for Occupational Therapy Driver Assessors’

- Fields, Sally, Unsworth, Carolyn, Harreveld, Bobby

  • Authors: Fields, Sally , Unsworth, Carolyn , Harreveld, Bobby
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Scandinavian Journal of Occupational Therapy Vol. 30, no. 6 (2023), p. 837-852
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  • Description: Background: Occupational therapy competency standards provide an evidence-base to inform clinical best practice, however it is not known whether education about competency standards will increase occupational therapists’ adherence to their use. Aims/objectives: To investigate if education about the ‘Australian Competency Standards for Occupational Therapy Driver Assessors’ leads to increased adherence to the competency standards in the clinical practice of occupational therapy driver assessors. Materials and methods: A mixed methods multiple case study design was used to evaluate 5 occupational therapy driver assessors’ adherence to the competency standards. An audit of 25 client files and interviews were conducted to evaluate practice against the competency standards prior to an education session, followed by an audit of a further 25 files, interview and feedback after education. Results: Qualitative and quantitative analyses suggest that education about the ‘Australian Competency Standards for Occupational Therapy Driver Assessors’ was associated with increased adherence to the competency standards in clinical practice. The results also support the use of competency standards in clinical practice. Conclusions and significance: Competency standards can be used to inform and guide clinical practice, and individualised education and feedback of practice against the competency standards can increase occupational therapists’ adherence to these standards. © 2022 Scandinavian Journal of Occupational Therapy Foundation.

Effective multitask deep learning for IoT malware detection and identification using behavioral traffic analysis

- Ali, Sajid, Abusabha, Omar, Ali, Farman, Imran, Muhammad, Abuhmed, Tamer

  • Authors: Ali, Sajid , Abusabha, Omar , Ali, Farman , Imran, Muhammad , Abuhmed, Tamer
  • Date: 2023
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Network and Service Management Vol. 20, no. 2 (2023), p. 1199-1209
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  • Description: Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware coordinating large-scale cyberattacks via infected IoT devices has created a substantial threat to the Internet ecosystem. Assessing IoT systems' security and developing mitigation measures to prevent the spread of IoT malware is therefore critical. Furthermore, for training and testing the fidelity of cyber security-based Machine Learning (ML) and Deep Learning (DL) approaches, the collection and exploration of information from multiple sources from the IoT are crucial. In this regard, we propose a multitask DL model for detecting IoT malware. Our proposed Long Short-Term Memory (LSTM) based model efficiently performs two tasks: 1) determination of whether the provided traffic is benign or malicious, and 2) determination of the malware type for identifying malicious network traffic. We used large-scale traffic data of 145. pcap files of benign and malicious traffic collected from 18 different IoT devices. We performed a time-series analysis on the packets of traffic flows, which were then used to train the proposed model. The features extracted from the dataset were categorized into three modalities: flow-related, traffic flag-related, and packet payload-related features. A feature selection approach was employed at the feature and modality levels, and the best modalities and features were utilized for performance enhancement. For tasks 1 and 2 and multitask classification, the flow-related and flag-related modalities showed the best testing accuracies of 92.63%, 88.45%, and 95.83%, respectively. © 2004-2012 IEEE.

Effects of participant's choice of different digital interventions on outcomes for binge-spectrum eating disorders : a pilot doubly randomized preference trial

- Linardon, Jake, Shatte, Adrian, Messer, Mariel, McClure, Zoe, Fuller-Tyszkiewicz, Matthew

  • Authors: Linardon, Jake , Shatte, Adrian , Messer, Mariel , McClure, Zoe , Fuller-Tyszkiewicz, Matthew
  • Date: 2023
  • Type: Text , Journal article
  • Relation: Behavior Therapy Vol. 54, no. 2 (2023), p. 303-314
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  • Description: It is unclear whether offering individuals a choice between different digital intervention programs affects treatment outcomes. To generate initial insights, we conducted a pilot doubly randomized preference trial to test whether offering individuals with binge-spectrum eating disorder a choice between two digital interventions is causally linked with superior outcomes than random assignment to these interventions. Participants with recurrent binge eating were randomized to either a choice (n = 77) or no-choice (n = 78) group. Those in the choice group could choose one of the two digital programs, while those in the no-choice group were assigned a program at random. The two digital interventions (a broad and a focused program) took 4 weeks to complete, were based on cognitive-behavioral principles and have demonstrated comparable efficacy, but differ in scope, content, and targeted change mechanisms. Most participants (79%) allocated to the choice condition chose the broad program. While both groups experienced improvements in primary (Eating Disorder Examination Questionnaire global scores and number of binge eating episodes over the past month) and secondary outcomes (dietary restraint, body image concerns, etc.), no significant between-group differences were observed. The two groups did not differ on dropout rates, nor on most indices of intervention engagement. Findings provide preliminary insights towards the role of client preferences in digital mental health interventions for eating disorders. Client preferences may not determine outcomes when digital interventions are based on similar underlying principles, although larger trials are needed to confirm this. © 2023