An exploration of trolling behaviours in Australian adolescents : an online survey
- Marrington, Jessica, March, Evita, Murray, Sarah, Jeffries, Carla, Machin, Tanya, March, Sonja
- Authors: Marrington, Jessica , March, Evita , Murray, Sarah , Jeffries, Carla , Machin, Tanya , March, Sonja
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 4 April (2023), p.
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- Description: To understand why people “troll” (i.e., engage in disruptive online behaviour intended to provoke and distress for one’s own amusement), researchers have explored a range of individual differences. These studies have primarily been conducted in adult samples, despite adolescents being a particularly vulnerable group with regards to both being trolled and trolling others. In this study we aimed to (1) explore Australian adolescents’ experiences of trolling, and (2) replicate adult research that has constructed a psychological profile of the Internet troll by examining the utility of personality traits (psychopathy and sadism), self-esteem, empathy (cognitive and affective), and social rewards (negative social potency) to predict adolescents’ trolling behaviours. A sample of 157 Australian adolescents (40.8% male, 58% female, 0.6% non-binary) aged 13–18 years (M = 15.58, SD = 1.71) completed the Global Assessment of Internet Trolling-Revised, Adolescent Measure of Empathy and Sympathy, Rosenberg Self-Esteem Scale, Youth Psychopathy Traits Inventory-Short Version, Social Rewards Questionnaire, Short Sadistic Impulse Scale, and a series of questions related to the experience of trolling. Results showed in the past year, 24.2% of Australian adolescents reported being trolled and 13.4% reported having trolled others. Gender, psychopathy, sadism, self-esteem, cognitive empathy, affective empathy, and “negative social potency” (i.e., enjoyment of antisocial rewards) combined, explained 30.7% of variance in adolescents’ trolling behaviours (p < .001). When accounting for shared variance, gender (male), high psychopathy, and high negative social potency were significant predictors of trolling, aligning with findings of adult samples. Contrary to adult samples, sadism was not a unique predictor of adolescents’ trolling. For adolescents, the variance in trolling explained by sadism was nonsignificant when controlling for negative social potency. These similarities, and differences, in predictors of trolling across adult and adolescent samples may play a critical role in the development of targeted interventions to prevent or manage trolling. © 2023 Marrington et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Authors: Marrington, Jessica , March, Evita , Murray, Sarah , Jeffries, Carla , Machin, Tanya , March, Sonja
- Date: 2023
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 18, no. 4 April (2023), p.
- Full Text:
- Reviewed:
- Description: To understand why people “troll” (i.e., engage in disruptive online behaviour intended to provoke and distress for one’s own amusement), researchers have explored a range of individual differences. These studies have primarily been conducted in adult samples, despite adolescents being a particularly vulnerable group with regards to both being trolled and trolling others. In this study we aimed to (1) explore Australian adolescents’ experiences of trolling, and (2) replicate adult research that has constructed a psychological profile of the Internet troll by examining the utility of personality traits (psychopathy and sadism), self-esteem, empathy (cognitive and affective), and social rewards (negative social potency) to predict adolescents’ trolling behaviours. A sample of 157 Australian adolescents (40.8% male, 58% female, 0.6% non-binary) aged 13–18 years (M = 15.58, SD = 1.71) completed the Global Assessment of Internet Trolling-Revised, Adolescent Measure of Empathy and Sympathy, Rosenberg Self-Esteem Scale, Youth Psychopathy Traits Inventory-Short Version, Social Rewards Questionnaire, Short Sadistic Impulse Scale, and a series of questions related to the experience of trolling. Results showed in the past year, 24.2% of Australian adolescents reported being trolled and 13.4% reported having trolled others. Gender, psychopathy, sadism, self-esteem, cognitive empathy, affective empathy, and “negative social potency” (i.e., enjoyment of antisocial rewards) combined, explained 30.7% of variance in adolescents’ trolling behaviours (p < .001). When accounting for shared variance, gender (male), high psychopathy, and high negative social potency were significant predictors of trolling, aligning with findings of adult samples. Contrary to adult samples, sadism was not a unique predictor of adolescents’ trolling. For adolescents, the variance in trolling explained by sadism was nonsignificant when controlling for negative social potency. These similarities, and differences, in predictors of trolling across adult and adolescent samples may play a critical role in the development of targeted interventions to prevent or manage trolling. © 2023 Marrington et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
An optimal scheduling method in iot-fog-cloud network using combination of aquila optimizer and african vultures optimization
- Liu, Qing, Kosarirad, Houman, Meisami, Sajad, Alnowibet, Khalid, Hoshyar, Azadeh
- Authors: Liu, Qing , Kosarirad, Houman , Meisami, Sajad , Alnowibet, Khalid , Hoshyar, Azadeh
- Date: 2023
- Type: Text , Journal article
- Relation: Processes Vol. 11, no. 4 (2023), p.
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- Description: Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases the productivity of the IoT-fog-cloud system. In this paper, a hybrid meta-heuristic (MH) algorithm is developed to schedule the IoT requests in IoT-fog-cloud networks using the Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) called AO_AVOA. In AO_AVOA, the exploration phase of AVOA is improved by using AO operators to obtain the best solution during the process of finding the optimal scheduling solution. A comparison between AO_AVOA and methods of AVOA, AO, Firefly Algorithm (FA), particle swarm optimization (PSO), and Harris Hawks Optimization (HHO) according to performance metrics such as makespan and throughput shows the high ability of AO_AVOA to solve the scheduling problem in IoT-fog-cloud networks. © 2023 by the authors.
- Authors: Liu, Qing , Kosarirad, Houman , Meisami, Sajad , Alnowibet, Khalid , Hoshyar, Azadeh
- Date: 2023
- Type: Text , Journal article
- Relation: Processes Vol. 11, no. 4 (2023), p.
- Full Text:
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- Description: Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases the productivity of the IoT-fog-cloud system. In this paper, a hybrid meta-heuristic (MH) algorithm is developed to schedule the IoT requests in IoT-fog-cloud networks using the Aquila Optimizer (AO) and African Vultures Optimization Algorithm (AVOA) called AO_AVOA. In AO_AVOA, the exploration phase of AVOA is improved by using AO operators to obtain the best solution during the process of finding the optimal scheduling solution. A comparison between AO_AVOA and methods of AVOA, AO, Firefly Algorithm (FA), particle swarm optimization (PSO), and Harris Hawks Optimization (HHO) according to performance metrics such as makespan and throughput shows the high ability of AO_AVOA to solve the scheduling problem in IoT-fog-cloud networks. © 2023 by the authors.
An optimized hybrid deep intrusion detection model (HD-IDM) for enhancing network security
- Ahmad, Iftikhar, Imran, Muhammad, Qayyum, Abdul, Ramzan, Muhammad, Alassafi, Madini
- Authors: Ahmad, Iftikhar , Imran, Muhammad , Qayyum, Abdul , Ramzan, Muhammad , Alassafi, Madini
- Date: 2023
- Type: Text , Journal article
- Relation: Mathematics Vol. 11, no. 21 (2023), p.
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- Description: Detecting cyber intrusions in network traffic is a tough task for cybersecurity. Current methods struggle with the complexity of understanding patterns in network data. To solve this, we present the Hybrid Deep Learning Intrusion Detection Model (HD-IDM), a new way that combines GRU and LSTM classifiers. GRU is good at catching quick patterns, while LSTM handles long-term ones. HD-IDM blends these models using weighted averaging, boosting accuracy, especially with complex patterns. We tested HD-IDM on four datasets: CSE-CIC-IDS2017, CSE-CIC-IDS2018, NSL KDD, and CIC-DDoS2019. The HD-IDM classifier achieved remarkable performance metrics on all datasets. It attains an outstanding accuracy of 99.91%, showcasing its consistent precision across the dataset. With an impressive precision of 99.62%, it excels in accurately categorizing positive cases, crucial for minimizing false positives. Additionally, maintaining a high recall of 99.43%, it effectively identifies the majority of actual positive cases while minimizing false negatives. The F1-score of 99.52% emphasizes its robustness, making it the top choice for classification tasks requiring precision and reliability. It is particularly good at ROC and precision/recall curves, discriminating normal and harmful network activities. While HD-IDM is promising, it has limits. It needs labeled data and may struggle with new intrusion methods. Future work should find ways to handle unlabeled data and adapt to emerging threats. Also, making HD-IDM work faster for real-time use and dealing with scalability challenges is key for its broader use in changing network environments. © 2023 by the authors.
- Authors: Ahmad, Iftikhar , Imran, Muhammad , Qayyum, Abdul , Ramzan, Muhammad , Alassafi, Madini
- Date: 2023
- Type: Text , Journal article
- Relation: Mathematics Vol. 11, no. 21 (2023), p.
- Full Text:
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- Description: Detecting cyber intrusions in network traffic is a tough task for cybersecurity. Current methods struggle with the complexity of understanding patterns in network data. To solve this, we present the Hybrid Deep Learning Intrusion Detection Model (HD-IDM), a new way that combines GRU and LSTM classifiers. GRU is good at catching quick patterns, while LSTM handles long-term ones. HD-IDM blends these models using weighted averaging, boosting accuracy, especially with complex patterns. We tested HD-IDM on four datasets: CSE-CIC-IDS2017, CSE-CIC-IDS2018, NSL KDD, and CIC-DDoS2019. The HD-IDM classifier achieved remarkable performance metrics on all datasets. It attains an outstanding accuracy of 99.91%, showcasing its consistent precision across the dataset. With an impressive precision of 99.62%, it excels in accurately categorizing positive cases, crucial for minimizing false positives. Additionally, maintaining a high recall of 99.43%, it effectively identifies the majority of actual positive cases while minimizing false negatives. The F1-score of 99.52% emphasizes its robustness, making it the top choice for classification tasks requiring precision and reliability. It is particularly good at ROC and precision/recall curves, discriminating normal and harmful network activities. While HD-IDM is promising, it has limits. It needs labeled data and may struggle with new intrusion methods. Future work should find ways to handle unlabeled data and adapt to emerging threats. Also, making HD-IDM work faster for real-time use and dealing with scalability challenges is key for its broader use in changing network environments. © 2023 by the authors.
An overview of Australian exercise and sport science degrees
- Kittel, Aden, Stevens, Christopher, Lindsay, Riki, Spittle, Sharna, Spittle, Michael
- Authors: Kittel, Aden , Stevens, Christopher , Lindsay, Riki , Spittle, Sharna , Spittle, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Education Vol. 8, no. (2023), p.
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- Description: Exercise and Sport Science (EXSS) is a common degree offered at Australian universities, yet there is no systematic overview of this multidisciplinary field of study. This study aimed to determine the broad curriculum content of Australian EXSS degrees by summarizing the units offered, identify most commonly delivered content areas, and capture course information such as work-integrated learning (WIL) requirements and majors offered. Data were gathered through publicly available university course pages, with 30 EXSS courses included and only core units identified. The most common Australian EXSS units were “Exercise Physiology,” “Biomechanics,” “Research Methods and Data Analysis,” “Exercise Prescription and Delivery,” and “Exercise and Sport Psychology.” WIL requirements ranged from 140 to 300 h per course, and five courses offered majors. This study provides an overview of Australian EXSS courses, with the focus on exercise-related components reflecting accreditation requirements. Future research should examine how these courses equip students for the multidisciplinary EXSS industry. Copyright © 2023 Kittel, Stevens, Lindsay, Spittle and Spittle.
- Authors: Kittel, Aden , Stevens, Christopher , Lindsay, Riki , Spittle, Sharna , Spittle, Michael
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Education Vol. 8, no. (2023), p.
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- Description: Exercise and Sport Science (EXSS) is a common degree offered at Australian universities, yet there is no systematic overview of this multidisciplinary field of study. This study aimed to determine the broad curriculum content of Australian EXSS degrees by summarizing the units offered, identify most commonly delivered content areas, and capture course information such as work-integrated learning (WIL) requirements and majors offered. Data were gathered through publicly available university course pages, with 30 EXSS courses included and only core units identified. The most common Australian EXSS units were “Exercise Physiology,” “Biomechanics,” “Research Methods and Data Analysis,” “Exercise Prescription and Delivery,” and “Exercise and Sport Psychology.” WIL requirements ranged from 140 to 300 h per course, and five courses offered majors. This study provides an overview of Australian EXSS courses, with the focus on exercise-related components reflecting accreditation requirements. Future research should examine how these courses equip students for the multidisciplinary EXSS industry. Copyright © 2023 Kittel, Stevens, Lindsay, Spittle and Spittle.
An overview of long covid support services in australia and international clinical guidelines, with a proposed care model in a global context
- Luo, Shiqi, Zheng, Zhen, Bird, Stephen, Plebanski, Magdalena, Figueiredo, Bernardo, Jessup, Rebecca, Stelmach, Wanda, Robinson, Jennifer, Xenos, Sophia, Olasoji, Micheal, Wan, Dawn, Sheahan, Jacob, Itsiopoulos, Catherine
- Authors: Luo, Shiqi , Zheng, Zhen , Bird, Stephen , Plebanski, Magdalena , Figueiredo, Bernardo , Jessup, Rebecca , Stelmach, Wanda , Robinson, Jennifer , Xenos, Sophia , Olasoji, Micheal , Wan, Dawn , Sheahan, Jacob , Itsiopoulos, Catherine
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Public Health Reviews Vol. 44, no. (2023), p.
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- Description: Objective: To identify gaps among Australian Long COVID support services and guidelines alongside recommendations for future health programs. Methods: Electronic databases and seven government health websites were searched for Long COVID-specific programs or clinics available in Australia as well as international and Australian management guidelines. Results: Five Long COVID specific guidelines and sixteen Australian services were reviewed. The majority of Australian services provided multidisciplinary rehabilitation programs with service models generally consistent with international and national guidelines. Most services included physiotherapists and psychologists. While early investigation at week 4 after contraction of COVID-19 is recommended by the Australian, UK and US guidelines, this was not consistently implemented. Conclusion: Besides Long COVID clinics, future solutions should focus on early identification that can be delivered by General Practitioners and all credentialed allied health professions. Study findings highlight an urgent need for innovative care models that address individual patient needs at an affordable cost. We propose a model that focuses on patient-led self-care with further enhancement via multi-disciplinary care tools. Copyright © 2023 Luo, Zheng, Bird, Plebanski, Figueiredo, Jessup, Stelmach, Robinson, Xenos, Olasoji, Wan, Sheahan and Itsiopoulos.
- Authors: Luo, Shiqi , Zheng, Zhen , Bird, Stephen , Plebanski, Magdalena , Figueiredo, Bernardo , Jessup, Rebecca , Stelmach, Wanda , Robinson, Jennifer , Xenos, Sophia , Olasoji, Micheal , Wan, Dawn , Sheahan, Jacob , Itsiopoulos, Catherine
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Public Health Reviews Vol. 44, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Objective: To identify gaps among Australian Long COVID support services and guidelines alongside recommendations for future health programs. Methods: Electronic databases and seven government health websites were searched for Long COVID-specific programs or clinics available in Australia as well as international and Australian management guidelines. Results: Five Long COVID specific guidelines and sixteen Australian services were reviewed. The majority of Australian services provided multidisciplinary rehabilitation programs with service models generally consistent with international and national guidelines. Most services included physiotherapists and psychologists. While early investigation at week 4 after contraction of COVID-19 is recommended by the Australian, UK and US guidelines, this was not consistently implemented. Conclusion: Besides Long COVID clinics, future solutions should focus on early identification that can be delivered by General Practitioners and all credentialed allied health professions. Study findings highlight an urgent need for innovative care models that address individual patient needs at an affordable cost. We propose a model that focuses on patient-led self-care with further enhancement via multi-disciplinary care tools. Copyright © 2023 Luo, Zheng, Bird, Plebanski, Figueiredo, Jessup, Stelmach, Robinson, Xenos, Olasoji, Wan, Sheahan and Itsiopoulos.
An update on the influence of natural climate variability and anthropogenic climate change on tropical cyclones
- Camargo, Suzana, Murakami, Hiroyuki, Bloemendaal, Nadia, Chand, Savin, Deshpande, Medha, Dominguez-Sarmiento, Christian, González-Alemán, Juan, Knutson, Thomas, Lin, I., Moon, Il-Ju, Patricola, Christian, Reed, Kevin, Roberts, Malcolm, Scoccimarro, Enrico, Tam, Chi, Wallace, Elizabeth, Wu, Liguang, Yamada, Yohei, Zhang, Wei, Zhao, Haikun
- Authors: Camargo, Suzana , Murakami, Hiroyuki , Bloemendaal, Nadia , Chand, Savin , Deshpande, Medha , Dominguez-Sarmiento, Christian , González-Alemán, Juan , Knutson, Thomas , Lin, I. , Moon, Il-Ju , Patricola, Christian , Reed, Kevin , Roberts, Malcolm , Scoccimarro, Enrico , Tam, Chi , Wallace, Elizabeth , Wu, Liguang , Yamada, Yohei , Zhang, Wei , Zhao, Haikun
- Date: 2023
- Type: Text , Journal article
- Relation: Tropical Cyclone Research and Review Vol. 12, no. 3 (2023), p. 216-239
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- Description: A substantial number of studies have been published since the Ninth International Workshop on Tropical Cyclones (IWTC-9) in 2018, improving our understanding of the effect of climate change on tropical cyclones (TCs) and associated hazards and risks. These studies have reinforced the robustness of increases in TC intensity and associated TC hazards and risks due to anthropogenic climate change. New modeling and observational studies suggested the potential influence of anthropogenic climate forcings, including greenhouse gases and aerosols, on global and regional TC activity at the decadal and century time scales. However, there are still substantial uncertainties owing to model uncertainty in simulating historical TC decadal variability in the Atlantic, and the limitations of observed TC records. The projected future change in the global number of TCs has become more uncertain since IWTC-9 due to projected increases in TC frequency by a few climate models. A new paradigm, TC seeds, has been proposed, and there is currently a debate on whether seeds can help explain the physical mechanism behind the projected changes in global TC frequency. New studies also highlighted the importance of large-scale environmental fields on TC activity, such as snow cover and air-sea interactions. Future projections on TC translation speed and medicanes are new additional focus topics in our report. Recommendations and future research are proposed relevant to the remaining scientific questions and assisting policymakers. © 2023 The Shanghai Typhoon Institute of China Meteorological Administration
- Authors: Camargo, Suzana , Murakami, Hiroyuki , Bloemendaal, Nadia , Chand, Savin , Deshpande, Medha , Dominguez-Sarmiento, Christian , González-Alemán, Juan , Knutson, Thomas , Lin, I. , Moon, Il-Ju , Patricola, Christian , Reed, Kevin , Roberts, Malcolm , Scoccimarro, Enrico , Tam, Chi , Wallace, Elizabeth , Wu, Liguang , Yamada, Yohei , Zhang, Wei , Zhao, Haikun
- Date: 2023
- Type: Text , Journal article
- Relation: Tropical Cyclone Research and Review Vol. 12, no. 3 (2023), p. 216-239
- Full Text:
- Reviewed:
- Description: A substantial number of studies have been published since the Ninth International Workshop on Tropical Cyclones (IWTC-9) in 2018, improving our understanding of the effect of climate change on tropical cyclones (TCs) and associated hazards and risks. These studies have reinforced the robustness of increases in TC intensity and associated TC hazards and risks due to anthropogenic climate change. New modeling and observational studies suggested the potential influence of anthropogenic climate forcings, including greenhouse gases and aerosols, on global and regional TC activity at the decadal and century time scales. However, there are still substantial uncertainties owing to model uncertainty in simulating historical TC decadal variability in the Atlantic, and the limitations of observed TC records. The projected future change in the global number of TCs has become more uncertain since IWTC-9 due to projected increases in TC frequency by a few climate models. A new paradigm, TC seeds, has been proposed, and there is currently a debate on whether seeds can help explain the physical mechanism behind the projected changes in global TC frequency. New studies also highlighted the importance of large-scale environmental fields on TC activity, such as snow cover and air-sea interactions. Future projections on TC translation speed and medicanes are new additional focus topics in our report. Recommendations and future research are proposed relevant to the remaining scientific questions and assisting policymakers. © 2023 The Shanghai Typhoon Institute of China Meteorological Administration
Analysis of microalgal density estimation by using lasso and image texture features
- Nguyen, Linh, Nguyen, Dung, Nguyen, Thang, Nguyen, Binh, Nghiem, Truong
- Authors: Nguyen, Linh , Nguyen, Dung , Nguyen, Thang , Nguyen, Binh , Nghiem, Truong
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 5 (2023), p.
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- Description: Monitoring and estimating the density of microalgae in a closed cultivation system is a critical task in culturing algae since it allows growers to optimally control both nutrients and cultivating conditions. Among the estimation techniques proposed so far, image-based methods, which are less invasive, nondestructive, and more biosecure, are practically preferred. Nevertheless, the premise behind most of those approaches is simply averaging the pixel values of images as inputs of a regression model to predict density values, which may not provide rich information of the microalgae presenting in the images. In this work, we propose to exploit more advanced texture features extracted from captured images, including confidence intervals of means of pixel values, powers of spatial frequencies presenting in images, and entropies accounting for pixel distribution. These diverse features can provide more information of microalgae, which can lead to more accurate estimation results. More importantly, we propose to use the texture features as inputs of a data-driven model based on L1 regularization, called least absolute shrinkage and selection operator (LASSO), where their coefficients are optimized in a manner that prioritizes more informative features. The LASSO model was then employed to efficiently estimate the density of microalgae presenting in a new image. The proposed approach was validated in real-world experiments monitoring the Chlorella vulgaris microalgae strain, where the obtained results demonstrate its outperformance compared with other methods. More specifically, the average error in the estimation obtained by the proposed approach is 1.54, whereas those obtained by the Gaussian process and gray-scale-based methods are 2.16 and 3.68, respectively © 2023 by the authors.
- Authors: Nguyen, Linh , Nguyen, Dung , Nguyen, Thang , Nguyen, Binh , Nghiem, Truong
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 5 (2023), p.
- Full Text:
- Reviewed:
- Description: Monitoring and estimating the density of microalgae in a closed cultivation system is a critical task in culturing algae since it allows growers to optimally control both nutrients and cultivating conditions. Among the estimation techniques proposed so far, image-based methods, which are less invasive, nondestructive, and more biosecure, are practically preferred. Nevertheless, the premise behind most of those approaches is simply averaging the pixel values of images as inputs of a regression model to predict density values, which may not provide rich information of the microalgae presenting in the images. In this work, we propose to exploit more advanced texture features extracted from captured images, including confidence intervals of means of pixel values, powers of spatial frequencies presenting in images, and entropies accounting for pixel distribution. These diverse features can provide more information of microalgae, which can lead to more accurate estimation results. More importantly, we propose to use the texture features as inputs of a data-driven model based on L1 regularization, called least absolute shrinkage and selection operator (LASSO), where their coefficients are optimized in a manner that prioritizes more informative features. The LASSO model was then employed to efficiently estimate the density of microalgae presenting in a new image. The proposed approach was validated in real-world experiments monitoring the Chlorella vulgaris microalgae strain, where the obtained results demonstrate its outperformance compared with other methods. More specifically, the average error in the estimation obtained by the proposed approach is 1.54, whereas those obtained by the Gaussian process and gray-scale-based methods are 2.16 and 3.68, respectively © 2023 by the authors.
Animal population decline and recovery after severe fire: Relating ecological and life history traits with expert estimates of population impacts from the Australian 2019-20 megafires
- Ensbey, Michelle, Legge, Sarah, Jolly, Chris, Garnett, Stephen, Gallagher, Rachael, Lintermans, Mark, Nimmo, Dale, Rumpff, Libby, Scheele, Ben, Whiterod, Nick, Woinarski, John, Ahyong, Shane, Blackmore, Caroline, Bower, Deborah, Burbidge, Allan, Burns, Phoebe, Butler, Gavin, Catullo, Renee, Chapple, David, Dickman, Christopher, Doyle, Katie, Ferris, Jason, Fisher, Diana, Geyle, Hayley, Gillespie, Graeme, Greenlees, Matt, Hohnen, Rosemary, Hoskin, Conrad, Kennard, Mark, King, Alison, Kuchinke, Diana, Law, Brad, Lawler, Ivan, Lawler, Susan, Loyn, Richard, Lunney, Daniel, Lyon, Jarod, MacHunter, Josephine, Mahony, Michael, Mahony, Stephen, McCormack, Rob, Melville, Jane, Menkhorst, Peter, Michael, Damian, Mitchell, Nicola, Mulder, Eridani, Newell, David, Pearce, Luke, Raadik, Tarmo, Rowley, Jodi, Sitters, Holly, Southwell, Darren, Spencer, Ricky, West, Matt, Zukowski, Sylvia
- Authors: Ensbey, Michelle , Legge, Sarah , Jolly, Chris , Garnett, Stephen , Gallagher, Rachael , Lintermans, Mark , Nimmo, Dale , Rumpff, Libby , Scheele, Ben , Whiterod, Nick , Woinarski, John , Ahyong, Shane , Blackmore, Caroline , Bower, Deborah , Burbidge, Allan , Burns, Phoebe , Butler, Gavin , Catullo, Renee , Chapple, David , Dickman, Christopher , Doyle, Katie , Ferris, Jason , Fisher, Diana , Geyle, Hayley , Gillespie, Graeme , Greenlees, Matt , Hohnen, Rosemary , Hoskin, Conrad , Kennard, Mark , King, Alison , Kuchinke, Diana , Law, Brad , Lawler, Ivan , Lawler, Susan , Loyn, Richard , Lunney, Daniel , Lyon, Jarod , MacHunter, Josephine , Mahony, Michael , Mahony, Stephen , McCormack, Rob , Melville, Jane , Menkhorst, Peter , Michael, Damian , Mitchell, Nicola , Mulder, Eridani , Newell, David , Pearce, Luke , Raadik, Tarmo , Rowley, Jodi , Sitters, Holly , Southwell, Darren , Spencer, Ricky , West, Matt , Zukowski, Sylvia
- Date: 2023
- Type: Text , Journal article
- Relation: Biological conservation Vol. 283, no. (2023), p. 110021
- Full Text:
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- Description: Catastrophic megafires can increase extinction risks identifying species priorities for management and policy support is critical for preparing and responding to future fires. However, empirical data on population loss and recovery post-fire, especially megafire, are limited and taxonomically biased. These gaps could be bridged if species' morphological, behavioural, ecological and life history traits indicated their fire responses. Using expert elicitation that estimated population changes following the 2019–20 Australian megafires for 142 terrestrial and aquatic animal species (from every vertebrate class, one invertebrate group), we examined whether expert estimates of fire-related mortality, mortality in the year post-fire, and recovery trajectories over 10 years/three generations post-fire, were related to species traits. Expert estimates for fire-related mortality were lower for species that could potentially flee or shelter from fire, and that associated with fire-prone habitats. Post-fire mortality estimates were linked to diet, diet specialisation, home range size, and susceptibility to introduced herbivores that damage or compete for resources. Longer-term population recovery estimates were linked to diet/habitat specialisation, susceptibility to introduced species species with slower life histories and shorter subadult dispersal distances also had lower recovery estimates. Across animal groups, experts estimated that recovery was poorest for species with pre-fire population decline and more threatened conservation status. Sustained management is likely needed to recover species with habitat and diet specialisations, slower life histories, pre-existing declines and threatened conservation statuses. This study shows that traits could help inform management priorities before and after future megafires, but further empirical data on animal fire response is essential.
- Authors: Ensbey, Michelle , Legge, Sarah , Jolly, Chris , Garnett, Stephen , Gallagher, Rachael , Lintermans, Mark , Nimmo, Dale , Rumpff, Libby , Scheele, Ben , Whiterod, Nick , Woinarski, John , Ahyong, Shane , Blackmore, Caroline , Bower, Deborah , Burbidge, Allan , Burns, Phoebe , Butler, Gavin , Catullo, Renee , Chapple, David , Dickman, Christopher , Doyle, Katie , Ferris, Jason , Fisher, Diana , Geyle, Hayley , Gillespie, Graeme , Greenlees, Matt , Hohnen, Rosemary , Hoskin, Conrad , Kennard, Mark , King, Alison , Kuchinke, Diana , Law, Brad , Lawler, Ivan , Lawler, Susan , Loyn, Richard , Lunney, Daniel , Lyon, Jarod , MacHunter, Josephine , Mahony, Michael , Mahony, Stephen , McCormack, Rob , Melville, Jane , Menkhorst, Peter , Michael, Damian , Mitchell, Nicola , Mulder, Eridani , Newell, David , Pearce, Luke , Raadik, Tarmo , Rowley, Jodi , Sitters, Holly , Southwell, Darren , Spencer, Ricky , West, Matt , Zukowski, Sylvia
- Date: 2023
- Type: Text , Journal article
- Relation: Biological conservation Vol. 283, no. (2023), p. 110021
- Full Text:
- Reviewed:
- Description: Catastrophic megafires can increase extinction risks identifying species priorities for management and policy support is critical for preparing and responding to future fires. However, empirical data on population loss and recovery post-fire, especially megafire, are limited and taxonomically biased. These gaps could be bridged if species' morphological, behavioural, ecological and life history traits indicated their fire responses. Using expert elicitation that estimated population changes following the 2019–20 Australian megafires for 142 terrestrial and aquatic animal species (from every vertebrate class, one invertebrate group), we examined whether expert estimates of fire-related mortality, mortality in the year post-fire, and recovery trajectories over 10 years/three generations post-fire, were related to species traits. Expert estimates for fire-related mortality were lower for species that could potentially flee or shelter from fire, and that associated with fire-prone habitats. Post-fire mortality estimates were linked to diet, diet specialisation, home range size, and susceptibility to introduced herbivores that damage or compete for resources. Longer-term population recovery estimates were linked to diet/habitat specialisation, susceptibility to introduced species species with slower life histories and shorter subadult dispersal distances also had lower recovery estimates. Across animal groups, experts estimated that recovery was poorest for species with pre-fire population decline and more threatened conservation status. Sustained management is likely needed to recover species with habitat and diet specialisations, slower life histories, pre-existing declines and threatened conservation statuses. This study shows that traits could help inform management priorities before and after future megafires, but further empirical data on animal fire response is essential.
Application of a universal parasite diagnostic test to biological specimens collected from animals
- Lane, Meredith, Kashani, Mitra, Barratt, Joel, Qvarnstrom, Yvonne, Yabsley, Michael, Garrett, Kayla, Bradbury, Richard
- Authors: Lane, Meredith , Kashani, Mitra , Barratt, Joel , Qvarnstrom, Yvonne , Yabsley, Michael , Garrett, Kayla , Bradbury, Richard
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal for Parasitology: Parasites and Wildlife Vol. 20, no. (2023), p. 20-30
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- Description: A previously described universal parasite diagnostic (nUPDx) based on PCR amplification of the 18S rDNA and deep-amplicon sequencing, can detect human blood parasites with a sensitivity comparable to real-time PCR. To date, the efficacy of this assay has only been assessed on human blood. This study assessed the utility of nUPDx for the detection of parasitic infections in animals using blood, tissues, and other biological sample types from mammals, birds, and reptiles, known to be infected with helminth, apicomplexan, or pentastomid parasites (confirmed by microscopy or PCR), as well as negative samples. nUPDx confirmed apicomplexan and/or nematode infections in 24 of 32 parasite-positive mammals, while also identifying several undetected coinfections. nUPDx detected infections in 6 of 13 positive bird and 1 of 2 positive reptile samples. When applied to 10 whole parasite specimens (worms and arthropods), nUPDx identified all to the genus or family level, and detected one incorrect identification made by morphology. Babesia sp. infections were detected in 5 of the 13 samples that were negative by other diagnostic approaches. While nUPDx did not detect PCR/microscopy-confirmed trichomonads or amoebae in cloacal swabs/tissue from 8 birds and 2 reptiles due to primer template mismatches, 4 previously undetected apicomplexans were detected in these samples. Future efforts to improve the utility of the assay should focus on validation against a larger panel of tissue types and animal species. Overall, nUPDx shows promise for use in both veterinary diagnostics and wildlife surveillance, especially because species-specific PCRs can miss unknown or unexpected pathogens. © 2022
- Authors: Lane, Meredith , Kashani, Mitra , Barratt, Joel , Qvarnstrom, Yvonne , Yabsley, Michael , Garrett, Kayla , Bradbury, Richard
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal for Parasitology: Parasites and Wildlife Vol. 20, no. (2023), p. 20-30
- Full Text:
- Reviewed:
- Description: A previously described universal parasite diagnostic (nUPDx) based on PCR amplification of the 18S rDNA and deep-amplicon sequencing, can detect human blood parasites with a sensitivity comparable to real-time PCR. To date, the efficacy of this assay has only been assessed on human blood. This study assessed the utility of nUPDx for the detection of parasitic infections in animals using blood, tissues, and other biological sample types from mammals, birds, and reptiles, known to be infected with helminth, apicomplexan, or pentastomid parasites (confirmed by microscopy or PCR), as well as negative samples. nUPDx confirmed apicomplexan and/or nematode infections in 24 of 32 parasite-positive mammals, while also identifying several undetected coinfections. nUPDx detected infections in 6 of 13 positive bird and 1 of 2 positive reptile samples. When applied to 10 whole parasite specimens (worms and arthropods), nUPDx identified all to the genus or family level, and detected one incorrect identification made by morphology. Babesia sp. infections were detected in 5 of the 13 samples that were negative by other diagnostic approaches. While nUPDx did not detect PCR/microscopy-confirmed trichomonads or amoebae in cloacal swabs/tissue from 8 birds and 2 reptiles due to primer template mismatches, 4 previously undetected apicomplexans were detected in these samples. Future efforts to improve the utility of the assay should focus on validation against a larger panel of tissue types and animal species. Overall, nUPDx shows promise for use in both veterinary diagnostics and wildlife surveillance, especially because species-specific PCRs can miss unknown or unexpected pathogens. © 2022
Application of KRR, K-NN and GPR algorithms for predicting the soaked CBR of fine-grained plastic soils
- Verma, Gaurav, Kumar, Brind, Kumar, Chintoo, Ray, Arunava, Khandelwal, Manoj
- Authors: Verma, Gaurav , Kumar, Brind , Kumar, Chintoo , Ray, Arunava , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Arabian Journal for Science and Engineering Vol. 48, no. 10 (2023), p. 13901-13927
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- Description: California bearing ratio (CBR) test is one of the comprehensive tests used for the last few decades to design the pavement thickness of roadways, railways and airport runways. Laboratory-performed CBR test is considerably rigorous and time-taking. In a quest for an alternative solution, this study utilizes novel computational approaches, including the kernel ridges regression, K-nearest neighbor and Gaussian process regression (GPR), to predict the soaked CBR value of soils. A vast quantity of 1011 in situ soil samples were collected from an ongoing highway project work site. Two data divisional approaches, i.e., K-Fold and fuzzy c-means (FCM) clustering, were used to separate the dataset into training and testing subsets. Apart from the numerous statistical performance measurement indices, ranking and overfitting analysis were used to identify the best-fitted CBR prediction model. Additionally, the literature models were also tried to validate through present study datasets. From the results of Pearson’s correlation analysis, Sand, Fine Content, Plastic Limit, Plasticity Index, Maximum Dry Density and Optimum Moisture Content were found to be most influencing input parameters in developing the soaked CBR of fine-grained plastic soils. Experimental results also establish the proficiency of the GPR model developed through FCM and K-Fold data division approaches. The K-Fold data division approach was found to be helpful in removing the overfitting of the models. Furthermore, the predictive ability of any model is considerably influenced by the geological location of the soils/materials used for the model development. © 2023, The Author(s).
- Authors: Verma, Gaurav , Kumar, Brind , Kumar, Chintoo , Ray, Arunava , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Arabian Journal for Science and Engineering Vol. 48, no. 10 (2023), p. 13901-13927
- Full Text:
- Reviewed:
- Description: California bearing ratio (CBR) test is one of the comprehensive tests used for the last few decades to design the pavement thickness of roadways, railways and airport runways. Laboratory-performed CBR test is considerably rigorous and time-taking. In a quest for an alternative solution, this study utilizes novel computational approaches, including the kernel ridges regression, K-nearest neighbor and Gaussian process regression (GPR), to predict the soaked CBR value of soils. A vast quantity of 1011 in situ soil samples were collected from an ongoing highway project work site. Two data divisional approaches, i.e., K-Fold and fuzzy c-means (FCM) clustering, were used to separate the dataset into training and testing subsets. Apart from the numerous statistical performance measurement indices, ranking and overfitting analysis were used to identify the best-fitted CBR prediction model. Additionally, the literature models were also tried to validate through present study datasets. From the results of Pearson’s correlation analysis, Sand, Fine Content, Plastic Limit, Plasticity Index, Maximum Dry Density and Optimum Moisture Content were found to be most influencing input parameters in developing the soaked CBR of fine-grained plastic soils. Experimental results also establish the proficiency of the GPR model developed through FCM and K-Fold data division approaches. The K-Fold data division approach was found to be helpful in removing the overfitting of the models. Furthermore, the predictive ability of any model is considerably influenced by the geological location of the soils/materials used for the model development. © 2023, The Author(s).
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
- Mehrdanesh, Amirhossein, Monjezi, Masoud, Khandelwal, Manoj, Bayat, Parichehr
- Authors: Mehrdanesh, Amirhossein , Monjezi, Masoud , Khandelwal, Manoj , Bayat, Parichehr
- Date: 2023
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 39, no. 2 (2023), p. 1317-1327
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- Description: In this paper, an attempt has been made to implement various robust techniques to predict rock fragmentation due to blasting in open pit mines using effective parameters. As rock fragmentation prediction is very complex and complicated, and due to that various artificial intelligence-based techniques, such as artificial neural network (ANN), classification and regression tree and support vector machines were selected for the modeling. To validate and compare the prediction results, conventional multivariate regression analysis was also utilized on the same data sets. Since accuracy and generality of the modeling is dependent on the number of inputs, it was tried to collect enough required information from four different open pit mines of Iran. According to the obtained results, it was revealed that ANN with a determination coefficient of 0.986 is the most precise method of modeling as compared to the other applied techniques. Also, based on the performed sensitivity analysis, it was observed that the most prevailing parameters on the rock fragmentation are rock quality designation, Schmidt hardness value, mean in-situ block size and the minimum effective ones are hole diameter, burden and spacing. The advantage of back propagation neural network technique for using in this study compared to other soft computing methods is that they are able to describe complex and nonlinear multivariable problems in a transparent way. Furthermore, ANN can be used as a first approach, where much knowledge about the influencing parameters are missing. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
- Authors: Mehrdanesh, Amirhossein , Monjezi, Masoud , Khandelwal, Manoj , Bayat, Parichehr
- Date: 2023
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 39, no. 2 (2023), p. 1317-1327
- Full Text:
- Reviewed:
- Description: In this paper, an attempt has been made to implement various robust techniques to predict rock fragmentation due to blasting in open pit mines using effective parameters. As rock fragmentation prediction is very complex and complicated, and due to that various artificial intelligence-based techniques, such as artificial neural network (ANN), classification and regression tree and support vector machines were selected for the modeling. To validate and compare the prediction results, conventional multivariate regression analysis was also utilized on the same data sets. Since accuracy and generality of the modeling is dependent on the number of inputs, it was tried to collect enough required information from four different open pit mines of Iran. According to the obtained results, it was revealed that ANN with a determination coefficient of 0.986 is the most precise method of modeling as compared to the other applied techniques. Also, based on the performed sensitivity analysis, it was observed that the most prevailing parameters on the rock fragmentation are rock quality designation, Schmidt hardness value, mean in-situ block size and the minimum effective ones are hole diameter, burden and spacing. The advantage of back propagation neural network technique for using in this study compared to other soft computing methods is that they are able to describe complex and nonlinear multivariable problems in a transparent way. Furthermore, ANN can be used as a first approach, where much knowledge about the influencing parameters are missing. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
Applications of machine learning and deep learning in antenna design, optimization, and selection : a review
- Sarker, Nayan, Podder, Prajoy, Mondal, M., Shafin, Sakib, Kamruzzaman, Joarder
- Authors: Sarker, Nayan , Podder, Prajoy , Mondal, M. , Shafin, Sakib , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 11, no. (2023), p. 103890-103915
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- Description: This review paper provides an overview of the latest developments in artificial intelligence (AI)-based antenna design and optimization for wireless communications. Machine learning (ML) and deep learning (DL) algorithms are applied to antenna engineering to improve the efficiency of the design and optimization processes. The review discusses the use of electromagnetic (EM) simulators such as computer simulation technology (CST) and high-frequency structure simulator (HFSS) for ML and DL-based antenna design, which also covers reinforcement learning (RL)-bases approaches. Various antenna optimization methods including parallel optimization, single and multi-objective optimization, variable fidelity optimization, multilayer ML-assisted optimization, and surrogate-based optimization are discussed. The review also covers the AI-based antenna selection approaches for wireless applications. To support the automation of antenna engineering, the data generation technique with computational electromagnetics software is described and some useful datasets are reported. The review concludes that ML/DL can enhance antenna behavior prediction, reduce the number of simulations, improve computer efficiency, and speed up the antenna design process. © 2013 IEEE.
- Authors: Sarker, Nayan , Podder, Prajoy , Mondal, M. , Shafin, Sakib , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 11, no. (2023), p. 103890-103915
- Full Text:
- Reviewed:
- Description: This review paper provides an overview of the latest developments in artificial intelligence (AI)-based antenna design and optimization for wireless communications. Machine learning (ML) and deep learning (DL) algorithms are applied to antenna engineering to improve the efficiency of the design and optimization processes. The review discusses the use of electromagnetic (EM) simulators such as computer simulation technology (CST) and high-frequency structure simulator (HFSS) for ML and DL-based antenna design, which also covers reinforcement learning (RL)-bases approaches. Various antenna optimization methods including parallel optimization, single and multi-objective optimization, variable fidelity optimization, multilayer ML-assisted optimization, and surrogate-based optimization are discussed. The review also covers the AI-based antenna selection approaches for wireless applications. To support the automation of antenna engineering, the data generation technique with computational electromagnetics software is described and some useful datasets are reported. The review concludes that ML/DL can enhance antenna behavior prediction, reduce the number of simulations, improve computer efficiency, and speed up the antenna design process. © 2013 IEEE.
Apprenticeships : the problem of attractiveness and the hindrance of heterogeneity
- Authors: Smith, Erica
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Training and Development Vol. 27, no. 1 (2023), p. 18-38
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- Description: This paper examines a question posed in 2019 in the International Journal on Training and Development: ‘How do we solve a problem like apprenticeship?’ Data sources covering a substantial number of countries are used to present findings on, and analyse, initiatives that have been implemented or that have been considered, and then to develop some analytical constructs to help address the question. Fundamental issues such as the status of vocational education and training and the status of apprenticed occupations are important, but the nature of the apprenticeship arrangements, within countries and within industries are also major factors affecting perceived attractiveness. The paper therefore argues that the heterogeneity of apprenticeship systems and arrangements is a major barrier to solving the attractiveness problem. Moreover, the heterogeneity of potential apprenticeship applicants means that marketing campaigns or other efforts to attract more, and higher quality, apprentices need to be cognisant of individuals’ backgrounds, characteristics, and aspirations. Some tentative ways of addressing these matters are presented, but the conclusion is that the topic needs large-scale research. © 2022 The Authors. International Journal of Training and Development published by Brian Towers (BRITOW) and John Wiley & Sons Ltd.
- Authors: Smith, Erica
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Training and Development Vol. 27, no. 1 (2023), p. 18-38
- Full Text:
- Reviewed:
- Description: This paper examines a question posed in 2019 in the International Journal on Training and Development: ‘How do we solve a problem like apprenticeship?’ Data sources covering a substantial number of countries are used to present findings on, and analyse, initiatives that have been implemented or that have been considered, and then to develop some analytical constructs to help address the question. Fundamental issues such as the status of vocational education and training and the status of apprenticed occupations are important, but the nature of the apprenticeship arrangements, within countries and within industries are also major factors affecting perceived attractiveness. The paper therefore argues that the heterogeneity of apprenticeship systems and arrangements is a major barrier to solving the attractiveness problem. Moreover, the heterogeneity of potential apprenticeship applicants means that marketing campaigns or other efforts to attract more, and higher quality, apprentices need to be cognisant of individuals’ backgrounds, characteristics, and aspirations. Some tentative ways of addressing these matters are presented, but the conclusion is that the topic needs large-scale research. © 2022 The Authors. International Journal of Training and Development published by Brian Towers (BRITOW) and John Wiley & Sons Ltd.
Assessment of powered mobility device use among older australians in residential aged care facilities
- Authors: Dickson, Natalie
- Date: 2023
- Type: Text , Thesis , Masters
- Full Text:
- Description: Autonomous mobility is fundamental for older Australians to participate in the activities that occupy and inspire daily life. Should a mobility difficulty arise, a powered mobility device (PMD) can assist to supplement or restore mobility, choice, and control. A PMD continues to be a valued resource once a person moves into residential aged care. However, increasing frailty among people within this group means that incidents can result in serious injury for PMD users or others living, visiting, or working in this environment. Guidelines for PMD use are available, however, there are no regulations or mandates to seek professional guidance for assessment of competence, equipment prescription, or training. Occupational therapy theory and practice can support all parts of this process. This thesis presents a three-part study using a mixed methods approach to (i) examine PMD use related incidents and injuries within residential aged care, (ii) to evaluate existing measurement tools, and (iii) to develop and undertake initial validation of a new screening tool developed for residents who use PMDs, based on classical test theory (De Vellis, 2006). The new screening tool will address a gap identified among screening tools for PMD capacity and performance skills specific to this population, to improve the balance between much needed autonomy and safety for all stakeholders.
- Description: Master of Health (Research)
- Authors: Dickson, Natalie
- Date: 2023
- Type: Text , Thesis , Masters
- Full Text:
- Description: Autonomous mobility is fundamental for older Australians to participate in the activities that occupy and inspire daily life. Should a mobility difficulty arise, a powered mobility device (PMD) can assist to supplement or restore mobility, choice, and control. A PMD continues to be a valued resource once a person moves into residential aged care. However, increasing frailty among people within this group means that incidents can result in serious injury for PMD users or others living, visiting, or working in this environment. Guidelines for PMD use are available, however, there are no regulations or mandates to seek professional guidance for assessment of competence, equipment prescription, or training. Occupational therapy theory and practice can support all parts of this process. This thesis presents a three-part study using a mixed methods approach to (i) examine PMD use related incidents and injuries within residential aged care, (ii) to evaluate existing measurement tools, and (iii) to develop and undertake initial validation of a new screening tool developed for residents who use PMDs, based on classical test theory (De Vellis, 2006). The new screening tool will address a gap identified among screening tools for PMD capacity and performance skills specific to this population, to improve the balance between much needed autonomy and safety for all stakeholders.
- Description: Master of Health (Research)
Associations between smartphone keystroke metadata and mental health symptoms in adolescents: findings from the future proofing study
- Braund, Taylor, O'Dea, Bridianne, Bal, Debopriyo, Maston, Kate, Larsen, Mark, Werner-Seidler, Aliza, Tillman, Gabriel, Christensen, Helen
- Authors: Braund, Taylor , O'Dea, Bridianne , Bal, Debopriyo , Maston, Kate , Larsen, Mark , Werner-Seidler, Aliza , Tillman, Gabriel , Christensen, Helen
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Mental Health Vol. 10, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Mental disorders are prevalent during adolescence. Among the digital phenotypes currently being developed to monitor mental health symptoms, typing behavior is one promising candidate. However, few studies have directly assessed associations between typing behavior and mental health symptom severity, and whether these relationships differs between genders. Objective: In a cross-sectional analysis of a large cohort, we tested whether various features of typing behavior derived from keystroke metadata were associated with mental health symptoms and whether these relationships differed between genders. Methods: A total of 934 adolescents from the Future Proofing study undertook 2 typing tasks on their smartphones through the Future Proofing app. Common keystroke timing and frequency features were extracted across tasks. Mental health symptoms were assessed using the Patient Health Questionnaire-Adolescent version, the Children's Anxiety Scale-Short Form, the Distress Questionnaire 5, and the Insomnia Severity Index. Bivariate correlations were used to test whether keystroke features were associated with mental health symptoms. The false discovery rates of P values were adjusted to q values. Machine learning models were trained and tested using independent samples (ie, 80% train 20% test) to identify whether keystroke features could be combined to predict mental health symptoms. Results: Keystroke timing features showed a weak negative association with mental health symptoms across participants. When split by gender, females showed weak negative relationships between keystroke timing features and mental health symptoms, and weak positive relationships between keystroke frequency features and mental health symptoms. The opposite relationships were found for males (except for dwell). Machine learning models using keystroke features alone did not predict mental health symptoms. Conclusions: Increased mental health symptoms are weakly associated with faster typing, with important gender differences. Keystroke metadata should be collected longitudinally and combined with other digital phenotypes to enhance their clinical relevance. ©Taylor A Braund, Bridianne O'Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen.
- Authors: Braund, Taylor , O'Dea, Bridianne , Bal, Debopriyo , Maston, Kate , Larsen, Mark , Werner-Seidler, Aliza , Tillman, Gabriel , Christensen, Helen
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Mental Health Vol. 10, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Mental disorders are prevalent during adolescence. Among the digital phenotypes currently being developed to monitor mental health symptoms, typing behavior is one promising candidate. However, few studies have directly assessed associations between typing behavior and mental health symptom severity, and whether these relationships differs between genders. Objective: In a cross-sectional analysis of a large cohort, we tested whether various features of typing behavior derived from keystroke metadata were associated with mental health symptoms and whether these relationships differed between genders. Methods: A total of 934 adolescents from the Future Proofing study undertook 2 typing tasks on their smartphones through the Future Proofing app. Common keystroke timing and frequency features were extracted across tasks. Mental health symptoms were assessed using the Patient Health Questionnaire-Adolescent version, the Children's Anxiety Scale-Short Form, the Distress Questionnaire 5, and the Insomnia Severity Index. Bivariate correlations were used to test whether keystroke features were associated with mental health symptoms. The false discovery rates of P values were adjusted to q values. Machine learning models were trained and tested using independent samples (ie, 80% train 20% test) to identify whether keystroke features could be combined to predict mental health symptoms. Results: Keystroke timing features showed a weak negative association with mental health symptoms across participants. When split by gender, females showed weak negative relationships between keystroke timing features and mental health symptoms, and weak positive relationships between keystroke frequency features and mental health symptoms. The opposite relationships were found for males (except for dwell). Machine learning models using keystroke features alone did not predict mental health symptoms. Conclusions: Increased mental health symptoms are weakly associated with faster typing, with important gender differences. Keystroke metadata should be collected longitudinally and combined with other digital phenotypes to enhance their clinical relevance. ©Taylor A Braund, Bridianne O'Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen.
Associations of UPPS-P negative urgency and positive urgency with ADHD dimensions : moderation by lack of premeditation and lack of perseverance in men and women
- Gomez, Rapson, Watson, Shaun
- Authors: Gomez, Rapson , Watson, Shaun
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 206, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The study examined how dimensions of Whiteside and Lynam's (2003) UPPS-P model of impulsivity (lack of premeditation, lack of perseverance, negative urgency, and positive urgency) were associated directly and interactively with the attention-deficit/hyperactivity disorder (ADHD) dimensions of inattention and hyperactivity/impulsivity in men and women separately. A total of 550 adults (men = 147, women = 403), ages ranging from 18 to 65 years, from the general community completed questionnaires covering the study variables. For women, there was support for the additive model for the prediction of inattention, and both inattention and hyperactivity/impulsivity were predicted by lack of premeditation × positive urgency. For men, inattention was predicted by lack of premeditation × negative urgency, and lack of premeditation × positive urgency. In all instances, low levels of premeditation reduced the relationships between the urgency dimensions and ADHD dimensions. The theoretical and clinical implications of the findings are discussed. © 2023 The Author(s)
- Authors: Gomez, Rapson , Watson, Shaun
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 206, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The study examined how dimensions of Whiteside and Lynam's (2003) UPPS-P model of impulsivity (lack of premeditation, lack of perseverance, negative urgency, and positive urgency) were associated directly and interactively with the attention-deficit/hyperactivity disorder (ADHD) dimensions of inattention and hyperactivity/impulsivity in men and women separately. A total of 550 adults (men = 147, women = 403), ages ranging from 18 to 65 years, from the general community completed questionnaires covering the study variables. For women, there was support for the additive model for the prediction of inattention, and both inattention and hyperactivity/impulsivity were predicted by lack of premeditation × positive urgency. For men, inattention was predicted by lack of premeditation × negative urgency, and lack of premeditation × positive urgency. In all instances, low levels of premeditation reduced the relationships between the urgency dimensions and ADHD dimensions. The theoretical and clinical implications of the findings are discussed. © 2023 The Author(s)
Attributes of expert anticipation should inform the design of virtual reality simulators to accelerate learning and transfer of skill
- Müller, Sean, Dekker, Evan, Morris-Binelli, Khaya, Piggott, Benjamin, Hoyne, Gerard, Christensen, Wayne, Fadde, Peter, Zaichkowsky, Leonard, Brenton, John, Hambrick, David
- Authors: Müller, Sean , Dekker, Evan , Morris-Binelli, Khaya , Piggott, Benjamin , Hoyne, Gerard , Christensen, Wayne , Fadde, Peter , Zaichkowsky, Leonard , Brenton, John , Hambrick, David
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Medicine Vol. 53, no. 2 (2023), p. 301-309
- Full Text:
- Reviewed:
- Description: Expert sport performers cope with a multitude of visual information to achieve precise skill goals under time stress and pressure. For example, a major league baseball or cricket batter must read opponent variations in actions and ball flight paths to strike the ball in less than a second. Crowded playing schedules and training load restrictions to minimise injury have limited opportunity for field-based practice in sports. As a result, many sports organisations are exploring the use of virtual reality (VR) simulators. Whilst VR synthetic experiences can allow greater control of visual stimuli, immersion to create presence in an environment, and interaction with stimuli, compared to traditional video simulation, the underpinning mechanisms of how experts use visual information for anticipation have not been properly incorporated into its content design. In themes, this opinion article briefly explains the mechanisms underpinning expert visual anticipation, as well as its learning and transfer, with a view that this knowledge can better inform VR simulator content design. In each theme, examples are discussed for improved content design of VR simulators taking into consideration its advantages and limitations relative to video simulation techniques. Whilst sport is used as the exemplar, the points discussed have implications for skill learning in other domains, such as military and law enforcement. It is hoped that our paper will stimulate improved content design of VR simulators for future research and skill enhancement across several domains. © 2022, The Author(s). Correction to: Sports Medicine https://doi.org/10.1007/s40279-022-01735-7, Page 1: The affiliation for Evan Dekker, which previously read: 2Academic Services and Support Directorate, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia has now been updated to read: Academic Services and Support Directorate, Federation University, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia. The original article has been corrected.
- Authors: Müller, Sean , Dekker, Evan , Morris-Binelli, Khaya , Piggott, Benjamin , Hoyne, Gerard , Christensen, Wayne , Fadde, Peter , Zaichkowsky, Leonard , Brenton, John , Hambrick, David
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Medicine Vol. 53, no. 2 (2023), p. 301-309
- Full Text:
- Reviewed:
- Description: Expert sport performers cope with a multitude of visual information to achieve precise skill goals under time stress and pressure. For example, a major league baseball or cricket batter must read opponent variations in actions and ball flight paths to strike the ball in less than a second. Crowded playing schedules and training load restrictions to minimise injury have limited opportunity for field-based practice in sports. As a result, many sports organisations are exploring the use of virtual reality (VR) simulators. Whilst VR synthetic experiences can allow greater control of visual stimuli, immersion to create presence in an environment, and interaction with stimuli, compared to traditional video simulation, the underpinning mechanisms of how experts use visual information for anticipation have not been properly incorporated into its content design. In themes, this opinion article briefly explains the mechanisms underpinning expert visual anticipation, as well as its learning and transfer, with a view that this knowledge can better inform VR simulator content design. In each theme, examples are discussed for improved content design of VR simulators taking into consideration its advantages and limitations relative to video simulation techniques. Whilst sport is used as the exemplar, the points discussed have implications for skill learning in other domains, such as military and law enforcement. It is hoped that our paper will stimulate improved content design of VR simulators for future research and skill enhancement across several domains. © 2022, The Author(s). Correction to: Sports Medicine https://doi.org/10.1007/s40279-022-01735-7, Page 1: The affiliation for Evan Dekker, which previously read: 2Academic Services and Support Directorate, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia has now been updated to read: Academic Services and Support Directorate, Federation University, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia. The original article has been corrected.
Australian men’s sheds and their role in the health and wellbeing of men : a systematic review
- Barbagallo, Michael, Brito, Sara, Porter, Joanne
- Authors: Barbagallo, Michael , Brito, Sara , Porter, Joanne
- Date: 2023
- Type: Text , Journal article
- Relation: Health & Social care in the Community Vol. 2023, no. (2023), p. 1-9
- Full Text:
- Reviewed:
- Description: Men’s sheds are a community-based organisation that allows a space for a community of men to interact and engage with one another with hands-on activities. As such, men’s sheds form an appropriate setting to deliver health and wellbeing initiatives. This review aims to understand the role of Australian men’s sheds with respect to the health and wellbeing of their male participants. This review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis (PRISMA) following a three-step process of planning, conducting, and reporting the review. All three authors reviewed all the eligible articles. There was significant methodological heterogeneity between the sources identified (n = 11). A narrative synthesis identified three key themes: health promotion, wellbeing, and socialisation intergenerational mentoring and Aboriginal and Torres Strait Islander men’s health. Men’s sheds serve as ideal locations for the delivery of initiatives that can positively impact on the health and wellbeing of their male participants. Furthermore, research is needed to explore the implementation and evaluation of these health and wellbeing initiatives for men in their respective communities.
- Authors: Barbagallo, Michael , Brito, Sara , Porter, Joanne
- Date: 2023
- Type: Text , Journal article
- Relation: Health & Social care in the Community Vol. 2023, no. (2023), p. 1-9
- Full Text:
- Reviewed:
- Description: Men’s sheds are a community-based organisation that allows a space for a community of men to interact and engage with one another with hands-on activities. As such, men’s sheds form an appropriate setting to deliver health and wellbeing initiatives. This review aims to understand the role of Australian men’s sheds with respect to the health and wellbeing of their male participants. This review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis (PRISMA) following a three-step process of planning, conducting, and reporting the review. All three authors reviewed all the eligible articles. There was significant methodological heterogeneity between the sources identified (n = 11). A narrative synthesis identified three key themes: health promotion, wellbeing, and socialisation intergenerational mentoring and Aboriginal and Torres Strait Islander men’s health. Men’s sheds serve as ideal locations for the delivery of initiatives that can positively impact on the health and wellbeing of their male participants. Furthermore, research is needed to explore the implementation and evaluation of these health and wellbeing initiatives for men in their respective communities.
Australian nursing students’ perceptions of being a nurse : a mixed methods study
- Authors: Allen, Louise
- Date: 2023
- Type: Text , Thesis , PhD
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- Description: Background Nursing students often enter nursing programs with idealistic, altruistic perceptions of what it means to be a nurse. Over time, however, many discover that these perceptions are naïve and unrealistic. Nursing is a demanding profession that requires knowledge, skill and emotional resilience in often demanding and challenging situations that can influence emotional intelligence. Therefore, an early and realistic understanding of professional requirements may reduce transition shock and attrition rates. Aim The aim of this thesis is to explore Bachelor of Nursing (BN) students’ perceptions of being a nurse in Australia. Methods This study used an explanatory sequential mixed methods design. The 34-item Perceptions of a Registered Nurse (PRN) survey tool was developed using a Nominal Group Technique and validated with a sample of 797 participants across three universities and states. Descriptive and inferential statistical analysis was incorporated as applicable. In addition, online semi-structured interviews with 23 nursing students (n = 23) explored their perceptions of a nurse in detail, with a thematic analysis of outcomes. Results Demographic variables influenced perceptions. There were significant differences in item-by-item perceptions related to ‘primary language spoken at home’ (13/34 items; p < .04), ‘university of study’ (10/34 items; p
- Description: Doctor of Philosophy
- Authors: Allen, Louise
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Background Nursing students often enter nursing programs with idealistic, altruistic perceptions of what it means to be a nurse. Over time, however, many discover that these perceptions are naïve and unrealistic. Nursing is a demanding profession that requires knowledge, skill and emotional resilience in often demanding and challenging situations that can influence emotional intelligence. Therefore, an early and realistic understanding of professional requirements may reduce transition shock and attrition rates. Aim The aim of this thesis is to explore Bachelor of Nursing (BN) students’ perceptions of being a nurse in Australia. Methods This study used an explanatory sequential mixed methods design. The 34-item Perceptions of a Registered Nurse (PRN) survey tool was developed using a Nominal Group Technique and validated with a sample of 797 participants across three universities and states. Descriptive and inferential statistical analysis was incorporated as applicable. In addition, online semi-structured interviews with 23 nursing students (n = 23) explored their perceptions of a nurse in detail, with a thematic analysis of outcomes. Results Demographic variables influenced perceptions. There were significant differences in item-by-item perceptions related to ‘primary language spoken at home’ (13/34 items; p < .04), ‘university of study’ (10/34 items; p
- Description: Doctor of Philosophy
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.
- 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
- Full Text:
- Reviewed:
- 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.