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
- Full Text: false
- Reviewed:
- 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.
- Full Text: false
- Reviewed:
- 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
Deep learning : survey of environmental and camera impacts on internet of things images
- Kaur, Roopdeep, Karmakar, Gour, Xia, Feng, Imran, Muhammad
- Authors: Kaur, Roopdeep , Karmakar, Gour , Xia, Feng , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Artificial Intelligence Review Vol. 56, no. 9 (2023), p. 9605-9638
- Full Text:
- Reviewed:
- Description: Internet of Things (IoT) images are captivating growing attention because of their wide range of applications which requires visual analysis to drive automation. However, IoT images are predominantly captured from outdoor environments and thus are inherently impacted by the camera and environmental parameters which can adversely affect corresponding applications. Deep Learning (DL) has been widely adopted in the field of image processing and computer vision and can reduce the impact of these parameters on IoT images. Albeit, there are many DL-based techniques available in the current literature for analyzing and reducing the environmental and camera impacts on IoT images. However, to the best of our knowledge, no survey paper presents state-of-the-art DL-based approaches for this purpose. Motivated by this, for the first time, we present a Systematic Literature Review (SLR) of existing DL techniques available for analyzing and reducing environmental and camera lens impacts on IoT images. As part of this SLR, firstly, we reiterate and highlight the significance of IoT images in their respective applications. Secondly, we describe the DL techniques employed for assessing the environmental and camera lens distortion impacts on IoT images. Thirdly, we illustrate how DL can be effective in reducing the impact of environmental and camera lens distortion in IoT images. Finally, along with the critical reflection on the advantages and limitations of the techniques, we also present ways to address the research challenges of existing techniques and identify some further researches to advance the relevant research areas. © 2023, The Author(s).
- Authors: Kaur, Roopdeep , Karmakar, Gour , Xia, Feng , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Artificial Intelligence Review Vol. 56, no. 9 (2023), p. 9605-9638
- Full Text:
- Reviewed:
- Description: Internet of Things (IoT) images are captivating growing attention because of their wide range of applications which requires visual analysis to drive automation. However, IoT images are predominantly captured from outdoor environments and thus are inherently impacted by the camera and environmental parameters which can adversely affect corresponding applications. Deep Learning (DL) has been widely adopted in the field of image processing and computer vision and can reduce the impact of these parameters on IoT images. Albeit, there are many DL-based techniques available in the current literature for analyzing and reducing the environmental and camera impacts on IoT images. However, to the best of our knowledge, no survey paper presents state-of-the-art DL-based approaches for this purpose. Motivated by this, for the first time, we present a Systematic Literature Review (SLR) of existing DL techniques available for analyzing and reducing environmental and camera lens impacts on IoT images. As part of this SLR, firstly, we reiterate and highlight the significance of IoT images in their respective applications. Secondly, we describe the DL techniques employed for assessing the environmental and camera lens distortion impacts on IoT images. Thirdly, we illustrate how DL can be effective in reducing the impact of environmental and camera lens distortion in IoT images. Finally, along with the critical reflection on the advantages and limitations of the techniques, we also present ways to address the research challenges of existing techniques and identify some further researches to advance the relevant research areas. © 2023, The Author(s).
Deep learning and federated learning for screening COVID-19 : a review
- Mondal, M., Bharati, Subrato, Podder, Prajoy, Kamruzzaman, Joarder
- Authors: Mondal, M. , Bharati, Subrato , Podder, Prajoy , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article , Review
- Relation: BioMedInformatics Vol. 3, no. 3 (2023), p. 691-713
- Full Text:
- Reviewed:
- Description: Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of individuals. This paper conducts a thorough study of the use of deep learning (DL) and federated learning (FL) approaches to COVID-19 screening. To begin, an evaluation of research articles published between 1 January 2020 and 28 June 2023 is presented, considering the preferred reporting items of systematic reviews and meta-analysis (PRISMA) guidelines. The review compares various datasets on medical imaging, including X-ray, computed tomography (CT) scans, and ultrasound images, in terms of the number of images, COVID-19 samples, and classes in the datasets. Following that, a description of existing DL algorithms applied to various datasets is offered. Additionally, a summary of recent work on FL for COVID-19 screening is provided. Efforts to improve the quality of FL models are comprehensively reviewed and objectively evaluated. © 2023 by the authors.
- Authors: Mondal, M. , Bharati, Subrato , Podder, Prajoy , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article , Review
- Relation: BioMedInformatics Vol. 3, no. 3 (2023), p. 691-713
- Full Text:
- Reviewed:
- Description: Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of individuals. This paper conducts a thorough study of the use of deep learning (DL) and federated learning (FL) approaches to COVID-19 screening. To begin, an evaluation of research articles published between 1 January 2020 and 28 June 2023 is presented, considering the preferred reporting items of systematic reviews and meta-analysis (PRISMA) guidelines. The review compares various datasets on medical imaging, including X-ray, computed tomography (CT) scans, and ultrasound images, in terms of the number of images, COVID-19 samples, and classes in the datasets. Following that, a description of existing DL algorithms applied to various datasets is offered. Additionally, a summary of recent work on FL for COVID-19 screening is provided. Efforts to improve the quality of FL models are comprehensively reviewed and objectively evaluated. © 2023 by the authors.
Defending SDN against packet injection attacks using deep learning
- Phu, Anh, Li, Bo, Ullah, Faheem, Ul Huque, Tanvir, Naha, Ranesh, Babar, Muhammad, Nguyen, Hung
- Authors: Phu, Anh , Li, Bo , Ullah, Faheem , Ul Huque, Tanvir , Naha, Ranesh , Babar, Muhammad , Nguyen, Hung
- Date: 2023
- Type: Text , Journal article
- Relation: Computer Networks Vol. 234, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The (logically) centralized architecture of software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious packets into the SDN network to affect the services and performance of the SDN controller and overflows the capacity of the SDN switches. Such attacks have been shown to ultimately stop the network functioning in real-time, leading to network breakdowns. There have been significant works on detecting and defending against similar DoS attacks in non-SDN networks, but detection and protection techniques for SDN against packet injection attacks are still in their infancy. Furthermore, many of the proposed solutions have been shown to be easily bypassed by simple modifications to the attacking packets or by altering the attacking profile. In this paper, we develop novel Graph Convolutional Neural Network models and algorithms for grouping network nodes/users into security classes by learning from network data. We start with two simple classes — nodes that engage in suspicious packet injection attacks and nodes that are not. From these classes, we then partition the network into separate segments with different security policies using distributed Ryu controllers in an SDN network. We show in experiments on an emulated SDN that our detection solution outperforms alternative approaches with above 99% detection accuracy for various types (both old and new) of injection attacks. More importantly, our mitigation solution maintains continuous functions of non-compromised nodes while isolating compromised/suspicious nodes in real-time. All code and data are publicly available for the reproducibility of our results. © 2023 The Author(s)
- Authors: Phu, Anh , Li, Bo , Ullah, Faheem , Ul Huque, Tanvir , Naha, Ranesh , Babar, Muhammad , Nguyen, Hung
- Date: 2023
- Type: Text , Journal article
- Relation: Computer Networks Vol. 234, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The (logically) centralized architecture of software-defined networks makes them an easy target for packet injection attacks. In these attacks, the attacker injects malicious packets into the SDN network to affect the services and performance of the SDN controller and overflows the capacity of the SDN switches. Such attacks have been shown to ultimately stop the network functioning in real-time, leading to network breakdowns. There have been significant works on detecting and defending against similar DoS attacks in non-SDN networks, but detection and protection techniques for SDN against packet injection attacks are still in their infancy. Furthermore, many of the proposed solutions have been shown to be easily bypassed by simple modifications to the attacking packets or by altering the attacking profile. In this paper, we develop novel Graph Convolutional Neural Network models and algorithms for grouping network nodes/users into security classes by learning from network data. We start with two simple classes — nodes that engage in suspicious packet injection attacks and nodes that are not. From these classes, we then partition the network into separate segments with different security policies using distributed Ryu controllers in an SDN network. We show in experiments on an emulated SDN that our detection solution outperforms alternative approaches with above 99% detection accuracy for various types (both old and new) of injection attacks. More importantly, our mitigation solution maintains continuous functions of non-compromised nodes while isolating compromised/suspicious nodes in real-time. All code and data are publicly available for the reproducibility of our results. © 2023 The Author(s)
Depth-based sampling and steering constraints for memoryless local planners
- Nguyen, Binh, Nguyen, Linh, Choudhury, Tanveer, Keogh, Kathleen, Murshed, Manzur
- Authors: Nguyen, Binh , Nguyen, Linh , Choudhury, Tanveer , Keogh, Kathleen , Murshed, Manzur
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Intelligent and Robotic Systems: Theory and Applications Vol. 109, no. 3 (2023), p.
- Full Text:
- Reviewed:
- Description: By utilizing only depth information, the paper introduces a novel two-stage planning approach that enhances computational efficiency and planning performances for memoryless local planners. First, a depth-based sampling technique is proposed to identify and eliminate a specific type of in-collision trajectories among sampled candidates. Specifically, all trajectories that have obscured endpoints are found through querying the depth values and will then be excluded from the sampled set, which can significantly reduce the computational workload required in collision checking. Subsequently, we apply a tailored local planning algorithm that employs a direction cost function and a depth-based steering mechanism to prevent the robot from being trapped in local minima. Our planning algorithm is theoretically proven to be complete in convex obstacle scenarios. To validate the effectiveness of our DEpth-based both Sampling and Steering (DESS) approaches, we conducted experiments in simulated environments where a quadrotor flew through cluttered regions with multiple various-sized obstacles. The experimental results show that DESS significantly reduces computation time in local planning compared to the uniform sampling method, resulting in the planned trajectory with a lower minimized cost. More importantly, our success rates for navigation to different destinations in testing scenarios are improved considerably compared to the fixed-yawing approach. © 2023, The Author(s).
- Authors: Nguyen, Binh , Nguyen, Linh , Choudhury, Tanveer , Keogh, Kathleen , Murshed, Manzur
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Intelligent and Robotic Systems: Theory and Applications Vol. 109, no. 3 (2023), p.
- Full Text:
- Reviewed:
- Description: By utilizing only depth information, the paper introduces a novel two-stage planning approach that enhances computational efficiency and planning performances for memoryless local planners. First, a depth-based sampling technique is proposed to identify and eliminate a specific type of in-collision trajectories among sampled candidates. Specifically, all trajectories that have obscured endpoints are found through querying the depth values and will then be excluded from the sampled set, which can significantly reduce the computational workload required in collision checking. Subsequently, we apply a tailored local planning algorithm that employs a direction cost function and a depth-based steering mechanism to prevent the robot from being trapped in local minima. Our planning algorithm is theoretically proven to be complete in convex obstacle scenarios. To validate the effectiveness of our DEpth-based both Sampling and Steering (DESS) approaches, we conducted experiments in simulated environments where a quadrotor flew through cluttered regions with multiple various-sized obstacles. The experimental results show that DESS significantly reduces computation time in local planning compared to the uniform sampling method, resulting in the planned trajectory with a lower minimized cost. More importantly, our success rates for navigation to different destinations in testing scenarios are improved considerably compared to the fixed-yawing approach. © 2023, The Author(s).
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
- Full Text: false
- Reviewed:
- 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.
Determination of munsell soil colour using smartphones
- Nodi, Sadia, Paul, Manoranjan, Robinson, Nathan, Wang, Liang, Rehman, Sabih
- Authors: Nodi, Sadia , Paul, Manoranjan , Robinson, Nathan , Wang, Liang , Rehman, Sabih
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 6 (2023), p.
- Full Text:
- Reviewed:
- Description: Soil colour is one of the most important factors in agriculture for monitoring soil health and determining its properties. For this purpose, Munsell soil colour charts are widely used by archaeologists, scientists, and farmers. The process of determining soil colour from the chart is subjective and error-prone. In this study, we used popular smartphones to capture soil colours from images in the Munsell Soil Colour Book (MSCB) to determine the colour digitally. These captured soil colours are then compared with the true colour determined using a commonly used sensor (Nix Pro-2). We have observed that there are colour reading discrepancies between smartphone and Nix Pro-provided readings. To address this issue, we investigated different colour models and finally introduced a colour-intensity relationship between the images captured by Nix Pro and smartphones by exploring different distance functions. Thus, the aim of this study is to determine the Munsell soil colour accurately from the MSCB by adjusting the pixel intensity of the smartphone-captured images. Without any adjustment when the accuracy of individual Munsell soil colour determination is only (Formula presented.) for the top 5 predictions, the accuracy of the proposed method is (Formula presented.), which is significant. © 2023 by the authors.
- Authors: Nodi, Sadia , Paul, Manoranjan , Robinson, Nathan , Wang, Liang , Rehman, Sabih
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 6 (2023), p.
- Full Text:
- Reviewed:
- Description: Soil colour is one of the most important factors in agriculture for monitoring soil health and determining its properties. For this purpose, Munsell soil colour charts are widely used by archaeologists, scientists, and farmers. The process of determining soil colour from the chart is subjective and error-prone. In this study, we used popular smartphones to capture soil colours from images in the Munsell Soil Colour Book (MSCB) to determine the colour digitally. These captured soil colours are then compared with the true colour determined using a commonly used sensor (Nix Pro-2). We have observed that there are colour reading discrepancies between smartphone and Nix Pro-provided readings. To address this issue, we investigated different colour models and finally introduced a colour-intensity relationship between the images captured by Nix Pro and smartphones by exploring different distance functions. Thus, the aim of this study is to determine the Munsell soil colour accurately from the MSCB by adjusting the pixel intensity of the smartphone-captured images. Without any adjustment when the accuracy of individual Munsell soil colour determination is only (Formula presented.) for the top 5 predictions, the accuracy of the proposed method is (Formula presented.), which is significant. © 2023 by the authors.
Developing entrustable professional activities to enhance application of an aggression prevention protocol
- Maguire, Tessa, Willetts, Georgina, McKenna, Brian, Daffern, Michael, Garvey, Loretta
- Authors: Maguire, Tessa , Willetts, Georgina , McKenna, Brian , Daffern, Michael , Garvey, Loretta
- Date: 2023
- Type: Text , Journal article
- Relation: Nurse Education in Practice Vol. 73, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Aim: The research aim of this study was to seek feedback from prevention of aggression training experts about the suitability of Entrustable Professional Activities (EPAs) as an assessment tool for an Aggression Prevention Protocol. The protocol was designed to structure intervention to prevent aggression and reduce the use of restrictive practices following risk assessment using a validated instrument (the Dynamic Appraisal of Situational Aggression). Background: Preventing aggression and limiting the use of restrictive practices are key priorities for inpatient mental health services. Assessing clinical activities using a competence framework has limitations, particularly when determining complex interventions. EPAs could provide a suitable method for assessing complex clinical activities like de-escalation and limit setting, which comprise some of the interventions in the Aggression Prevention Protocol. EPAs are new to forensic mental health nursing; therefore, feedback was sought regarding the utility of EPAs to assess aggression prevention interventions. Methods: Data were collected via focus groups including 11 aggression prevention experts from Australia and New Zealand. A thematic analysis, comparative analysis and a Strength, Weakness, Opportunity and Threats analysis was conducted. Results: Three themes were interpreted from the data: 1) Frameworks such as the APP are needed to work towards elimination of restrictive practices; 2) APP-EPAs afford an opportunity to set the standard for practice; and 3) ‘who watches the watchers’, were identified by the experts as well as areas to enhance EPAs prior to introduction into practice. Conclusions: EPAs address a practice-gap and offer a framework to assist movement towards elimination of restrictive practices, while prompting best-practice, self-reflection and practice improvement guidance. © 2023
- Authors: Maguire, Tessa , Willetts, Georgina , McKenna, Brian , Daffern, Michael , Garvey, Loretta
- Date: 2023
- Type: Text , Journal article
- Relation: Nurse Education in Practice Vol. 73, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Aim: The research aim of this study was to seek feedback from prevention of aggression training experts about the suitability of Entrustable Professional Activities (EPAs) as an assessment tool for an Aggression Prevention Protocol. The protocol was designed to structure intervention to prevent aggression and reduce the use of restrictive practices following risk assessment using a validated instrument (the Dynamic Appraisal of Situational Aggression). Background: Preventing aggression and limiting the use of restrictive practices are key priorities for inpatient mental health services. Assessing clinical activities using a competence framework has limitations, particularly when determining complex interventions. EPAs could provide a suitable method for assessing complex clinical activities like de-escalation and limit setting, which comprise some of the interventions in the Aggression Prevention Protocol. EPAs are new to forensic mental health nursing; therefore, feedback was sought regarding the utility of EPAs to assess aggression prevention interventions. Methods: Data were collected via focus groups including 11 aggression prevention experts from Australia and New Zealand. A thematic analysis, comparative analysis and a Strength, Weakness, Opportunity and Threats analysis was conducted. Results: Three themes were interpreted from the data: 1) Frameworks such as the APP are needed to work towards elimination of restrictive practices; 2) APP-EPAs afford an opportunity to set the standard for practice; and 3) ‘who watches the watchers’, were identified by the experts as well as areas to enhance EPAs prior to introduction into practice. Conclusions: EPAs address a practice-gap and offer a framework to assist movement towards elimination of restrictive practices, while prompting best-practice, self-reflection and practice improvement guidance. © 2023
Developing rights-based standards for children having tests, treatments, examinations and interventions: using a collaborative, multi-phased, multi-method and multi-stakeholder approach to build consensus
- Bray, Lucy, Carter, Bernie, Kiernan, Joann, Horowicz, Ed, Dixon, Katie, Ridley, James, Robinson, Carol, Simmons, Anna, Craske, Jennie, Sinha, Stephanie, Morton, Liza, Nafria, Begonya, Forsner, Maria, Rullander, Anna-Clara, Nilsson, Stefan, Darcy, Laura, Karlsson, Katarina, Hubbuck, Cath, Brenner, Maria, Spencer-Little, Sian, Evans, Kath, Rowland, Andrew, Hilliard, Carol, Preston, Jennifer, Leroy, Piet, Roland, Damian, Booth, Lisa, Davies, Jean, Saron, Holly, Peck, Blake
- Authors: Bray, Lucy , Carter, Bernie , Kiernan, Joann , Horowicz, Ed , Dixon, Katie , Ridley, James , Robinson, Carol , Simmons, Anna , Craske, Jennie , Sinha, Stephanie , Morton, Liza , Nafria, Begonya , Forsner, Maria , Rullander, Anna-Clara , Nilsson, Stefan , Darcy, Laura , Karlsson, Katarina , Hubbuck, Cath , Brenner, Maria , Spencer-Little, Sian , Evans, Kath , Rowland, Andrew , Hilliard, Carol , Preston, Jennifer , Leroy, Piet , Roland, Damian , Booth, Lisa , Davies, Jean , Saron, Holly , Peck, Blake
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Pediatrics Vol. 182, no. 10 (2023), p. 4707-4721
- Full Text:
- Reviewed:
- Description: Children continue to experience harm when undergoing clinical procedures despite increased evidence of the need to improve the provision of child-centred care. The international ISupport collaboration aimed to develop standards to outline and explain good procedural practice and the rights of children within the context of a clinical procedure. The rights-based standards for children undergoing tests, treatments, investigations, examinations and interventions were developed using an iterative, multi-phased, multi-method and multi-stakeholder consensus building approach. This consensus approach used a range of online and face to face methods across three phases to ensure ongoing engagement with multiple stakeholders. The views and perspectives of 203 children and young people, 78 parents and 418 multi-disciplinary professionals gathered over a two year period (2020–2022) informed the development of international rights-based standards for the care of children having tests, treatments, examinations and interventions. The standards are the first to reach international multi-stakeholder consensus on definitions of supportive and restraining holds. Conclusion: This is the first study of its kind which outlines international rights-based procedural care standards from multi-stakeholder perspectives. The standards offer health professionals and educators clear evidence-based tools to support discussions and practice changes to challenge prevailing assumptions about holding or restraining children and instead encourage a focus on the interests and rights of the child. What is Known: • Children continue to experience short and long-term harm when undergoing clinical procedures despite increased evidence of the need to improve the provision of child-centred care. • Professionals report uncertainty and tensions in applying evidence-based practice to children’s procedural care. What is New: • This is the first study of its kind which has developed international rights-based procedural care standards from multi-stakeholder perspectives. • The standards are the first to reach international multi-stakeholder consensus on definitions of supportive and restraining holds. © 2023, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Blake Peck” is provided in this record**
- Authors: Bray, Lucy , Carter, Bernie , Kiernan, Joann , Horowicz, Ed , Dixon, Katie , Ridley, James , Robinson, Carol , Simmons, Anna , Craske, Jennie , Sinha, Stephanie , Morton, Liza , Nafria, Begonya , Forsner, Maria , Rullander, Anna-Clara , Nilsson, Stefan , Darcy, Laura , Karlsson, Katarina , Hubbuck, Cath , Brenner, Maria , Spencer-Little, Sian , Evans, Kath , Rowland, Andrew , Hilliard, Carol , Preston, Jennifer , Leroy, Piet , Roland, Damian , Booth, Lisa , Davies, Jean , Saron, Holly , Peck, Blake
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Pediatrics Vol. 182, no. 10 (2023), p. 4707-4721
- Full Text:
- Reviewed:
- Description: Children continue to experience harm when undergoing clinical procedures despite increased evidence of the need to improve the provision of child-centred care. The international ISupport collaboration aimed to develop standards to outline and explain good procedural practice and the rights of children within the context of a clinical procedure. The rights-based standards for children undergoing tests, treatments, investigations, examinations and interventions were developed using an iterative, multi-phased, multi-method and multi-stakeholder consensus building approach. This consensus approach used a range of online and face to face methods across three phases to ensure ongoing engagement with multiple stakeholders. The views and perspectives of 203 children and young people, 78 parents and 418 multi-disciplinary professionals gathered over a two year period (2020–2022) informed the development of international rights-based standards for the care of children having tests, treatments, examinations and interventions. The standards are the first to reach international multi-stakeholder consensus on definitions of supportive and restraining holds. Conclusion: This is the first study of its kind which outlines international rights-based procedural care standards from multi-stakeholder perspectives. The standards offer health professionals and educators clear evidence-based tools to support discussions and practice changes to challenge prevailing assumptions about holding or restraining children and instead encourage a focus on the interests and rights of the child. What is Known: • Children continue to experience short and long-term harm when undergoing clinical procedures despite increased evidence of the need to improve the provision of child-centred care. • Professionals report uncertainty and tensions in applying evidence-based practice to children’s procedural care. What is New: • This is the first study of its kind which has developed international rights-based procedural care standards from multi-stakeholder perspectives. • The standards are the first to reach international multi-stakeholder consensus on definitions of supportive and restraining holds. © 2023, The Author(s). **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Blake Peck” is provided in this record**
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
- Full Text: false
- Reviewed:
- 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.
- 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
- Full Text: false
- Reviewed:
- 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.
Device agent assisted blockchain leveraged framework for Internet of Things
- Nasrullah, Tarique, Islam, Md Manowarul, Uddin, Md Ashraf, Khan, Md Anisauzzaman, Layek, Md Abu, Stranieri, Andrew, Huh, Eui-Nam
- Authors: Nasrullah, Tarique , Islam, Md Manowarul , Uddin, Md Ashraf , Khan, Md Anisauzzaman , Layek, Md Abu , Stranieri, Andrew , Huh, Eui-Nam
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 1254-1268
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- Description: Blockchain (BC) is a burgeoning technology that has emerged as a promising solution to peer-to-peer communication security and privacy challenges. As a revolutionary technology, blockchain has drawn the attention of academics and researchers. Cryptocurrencies have already effectively utilized BC technology. Many researchers have sought to implement this technique in different sectors, including the Internet of Things. To store and manage IoT data, we present in this paper a lightweight BC-based architecture with a modified raft algorithm-based consensus protocol. We designed a Device Agent that executes a novel registration procedure to connect IoT devices to the blockchain. We implemented the framework on Docker using the Go programming language. We have simulated the framework on a Linux environment hosted in the cloud. We have conducted a detailed performance analysis using a variety of measures. The results demonstrate that our suggested solution is suitable for facilitating the management of IoT data with increased security and privacy. In terms of throughput and block generation time, the results indicate that our solution might be 40% to 45% faster than the existing blockchain. © 2013 IEEE.
- Authors: Nasrullah, Tarique , Islam, Md Manowarul , Uddin, Md Ashraf , Khan, Md Anisauzzaman , Layek, Md Abu , Stranieri, Andrew , Huh, Eui-Nam
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 1254-1268
- Full Text:
- Reviewed:
- Description: Blockchain (BC) is a burgeoning technology that has emerged as a promising solution to peer-to-peer communication security and privacy challenges. As a revolutionary technology, blockchain has drawn the attention of academics and researchers. Cryptocurrencies have already effectively utilized BC technology. Many researchers have sought to implement this technique in different sectors, including the Internet of Things. To store and manage IoT data, we present in this paper a lightweight BC-based architecture with a modified raft algorithm-based consensus protocol. We designed a Device Agent that executes a novel registration procedure to connect IoT devices to the blockchain. We implemented the framework on Docker using the Go programming language. We have simulated the framework on a Linux environment hosted in the cloud. We have conducted a detailed performance analysis using a variety of measures. The results demonstrate that our suggested solution is suitable for facilitating the management of IoT data with increased security and privacy. In terms of throughput and block generation time, the results indicate that our solution might be 40% to 45% faster than the existing blockchain. © 2013 IEEE.
Dexamethasone leads to Zn2+ accumulation and increased unbound Zn2+ in C2C12 muscle and 3T3-L1 adipose cells
- Maier, Michelle, Nankervis, Scott, Wallace, Morgan, Develyn, Tamekha, Myers, Mark
- Authors: Maier, Michelle , Nankervis, Scott , Wallace, Morgan , Develyn, Tamekha , Myers, Mark
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Cellular Biochemistry Vol. 124, no. 3 (2023), p. 409-420
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- Description: Skeletal muscle atrophy is associated with increases in circulating glucocorticoid levels and insulin resistance. Zinc accumulates in atrophic muscle, but the relationship between atrophy, insulin resistance, and Zn2+ homeostasis remains unclear. In this study, the effect of the glucocorticoid dexamethasone (DEX) on insulin and Zn2+ homeostasis was explored. Treatment of differentiated C2C12 skeletal myotubes and 3T3-L1 adipocytes with DEX significantly increased mRNA expression of the metal-binding proteins Mt1 and 2 and altered energy storage as shown by the increased size of lipid droplets in 3T3-L1 cells. In C2C12 cells the total cellular Zn2+ was higher after DEX treatment, and in both C2C12 and 3T3-L1 adipocytes, free unbound Zn2+ was increased. Insulin treatment led to a gradual increase in free Zn2+ in C2C12 cells, and no significant change in DEX-treated cells such that concentrations were similar 10 min after insulin treatment. These data demonstrate that DEX disturbs Zn2+ homeostasis in muscle and fat cells. Further study of the molecular pathways involved to identify novel therapeutic targets for treatment of skeletal muscle atrophy is warranted. © 2023 The Authors. Journal of Cellular Biochemistry published by Wiley Periodicals LLC.
- Authors: Maier, Michelle , Nankervis, Scott , Wallace, Morgan , Develyn, Tamekha , Myers, Mark
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Cellular Biochemistry Vol. 124, no. 3 (2023), p. 409-420
- Full Text:
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- Description: Skeletal muscle atrophy is associated with increases in circulating glucocorticoid levels and insulin resistance. Zinc accumulates in atrophic muscle, but the relationship between atrophy, insulin resistance, and Zn2+ homeostasis remains unclear. In this study, the effect of the glucocorticoid dexamethasone (DEX) on insulin and Zn2+ homeostasis was explored. Treatment of differentiated C2C12 skeletal myotubes and 3T3-L1 adipocytes with DEX significantly increased mRNA expression of the metal-binding proteins Mt1 and 2 and altered energy storage as shown by the increased size of lipid droplets in 3T3-L1 cells. In C2C12 cells the total cellular Zn2+ was higher after DEX treatment, and in both C2C12 and 3T3-L1 adipocytes, free unbound Zn2+ was increased. Insulin treatment led to a gradual increase in free Zn2+ in C2C12 cells, and no significant change in DEX-treated cells such that concentrations were similar 10 min after insulin treatment. These data demonstrate that DEX disturbs Zn2+ homeostasis in muscle and fat cells. Further study of the molecular pathways involved to identify novel therapeutic targets for treatment of skeletal muscle atrophy is warranted. © 2023 The Authors. Journal of Cellular Biochemistry published by Wiley Periodicals 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
- Full Text: false
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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.
Differences between DSM-5-TR and ICD-11 revisions of attention deficit/hyperactivity disorder : a commentary on implications and opportunities
- Gomez, Rapson, Chen, Wai, Houghton, Stephen
- Authors: Gomez, Rapson , Chen, Wai , Houghton, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: World J Psychiatry Vol. 13, no. 5 (2023), p. 138-143
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- Description: Current ICD-11 descriptions for attention deficit hyperactivity disorder (ADHD) were recently published online, in the same year as the DSM-5-TR (text revised edition) was released. In this commentary, we compare and contrast the DSM-5/DSM-5-TR and ICD-11 diagnostic criteria, summarize important differences, and underscore their clinical and research implications. Overall, three major differences emerge: (1) The number of diagnostic criteria for inattention (IA), hyperactivity (HY) and impulsivity (IM) symptoms ( , DSM-5-TR has nine IA and nine HY/IM symptoms, whereas ICD-11 has 11 IA and 11 HY/IM sym-ptoms) (2) the clarity and standardization of diagnostic thresholds ( , the diagnostic thresholds for symptom count in IA and HY/IM domains are explicitly specified in DSM-5-TR, whereas in ICD-11 they are not) and (3) the partitioning of HY and IM symptoms into sub-dimensions ( , difference in partitioning HY and IM symptom domains relates to the differences between the current and previous editions of DSM and ICD, and this has important research implications). Currently, no ICD-11 based ADHD rating scales exist and while this absence represents an obstacle for respective research and clinical practice, it also presents opportunities for research development. This article highlights these challenges, possible remedies and novel research opportunities.
- Authors: Gomez, Rapson , Chen, Wai , Houghton, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: World J Psychiatry Vol. 13, no. 5 (2023), p. 138-143
- Full Text:
- Reviewed:
- Description: Current ICD-11 descriptions for attention deficit hyperactivity disorder (ADHD) were recently published online, in the same year as the DSM-5-TR (text revised edition) was released. In this commentary, we compare and contrast the DSM-5/DSM-5-TR and ICD-11 diagnostic criteria, summarize important differences, and underscore their clinical and research implications. Overall, three major differences emerge: (1) The number of diagnostic criteria for inattention (IA), hyperactivity (HY) and impulsivity (IM) symptoms ( , DSM-5-TR has nine IA and nine HY/IM symptoms, whereas ICD-11 has 11 IA and 11 HY/IM sym-ptoms) (2) the clarity and standardization of diagnostic thresholds ( , the diagnostic thresholds for symptom count in IA and HY/IM domains are explicitly specified in DSM-5-TR, whereas in ICD-11 they are not) and (3) the partitioning of HY and IM symptoms into sub-dimensions ( , difference in partitioning HY and IM symptom domains relates to the differences between the current and previous editions of DSM and ICD, and this has important research implications). Currently, no ICD-11 based ADHD rating scales exist and while this absence represents an obstacle for respective research and clinical practice, it also presents opportunities for research development. This article highlights these challenges, possible remedies and novel research opportunities.
- 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
- Full Text: false
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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.
Discriminative ability of lower limb strength and power measures in lacrosse athletes
- Talpey, Scott, Axtell, Robert, Gardner, Elizabeth, Maloney, Maggie, Newman, Thomas, Cordone, Jason, O'Grady, Mathew
- Authors: Talpey, Scott , Axtell, Robert , Gardner, Elizabeth , Maloney, Maggie , Newman, Thomas , Cordone, Jason , O'Grady, Mathew
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Sports Medicine Vol. 44, no. 1 (2023), p. 29-37
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- Description: The objective of this investigation was to compare isokinetic strength, countermovement jump and drop jump variables between high-contributors and low-contributors within NCAA Division I Men's and Women's lacrosse athletes. Men's (N=36) and Women's (N=30) NCAA Division I lacrosse athletes completed strength testing of the quadriceps and hamstring across three speeds (60°·s -1, 180°·s -1, 300°·s -1), countermovement and drop jumps. To determine the discriminative ability of select lower-limb strength and power characteristics participants were categorized as high-contributors (Males N=18, age=20.3±0.4 yrs, height=183.9±5.5 cm, mass=90.8±5.8 kg; Females N=15, age=20.8±0.8 yrs, height=169.3±6.7 cm, mass=64.1±7.2 kg) or low-contributors (Males N=18, age=19.5±0.2 yrs, height=184.1±5.6 cm; mass=87.9±8.1 kg; Females N=15, age=19.7±0.2 yrs, height=169.8±7.0 cm, mass=62.9±7.7 kg) based upon the number of games the participants competed in during the regular season. Within the male cohort, moderate significant (p<0.05) differences were observed between high-contributors and low-contributors in isokinetic hamstring strength of the left leg at 300°·s -1(d=0.69) and peak power in countermovement jump (d= 0.68). Within the women's cohort a large (d= 0.87) significant difference (p<0.05) in isokinetic strength of the left hamstring was observed between high-contributors and low-contributors at 60°·s -1. Hamstring strength and lower-limb power are important strength measures for lacrosse performance and should be prioritized in training prescription for lacrosse athletes. © 2023 Georg Thieme Verlag. All rights reserved.
- Authors: Talpey, Scott , Axtell, Robert , Gardner, Elizabeth , Maloney, Maggie , Newman, Thomas , Cordone, Jason , O'Grady, Mathew
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Sports Medicine Vol. 44, no. 1 (2023), p. 29-37
- Full Text:
- Reviewed:
- Description: The objective of this investigation was to compare isokinetic strength, countermovement jump and drop jump variables between high-contributors and low-contributors within NCAA Division I Men's and Women's lacrosse athletes. Men's (N=36) and Women's (N=30) NCAA Division I lacrosse athletes completed strength testing of the quadriceps and hamstring across three speeds (60°·s -1, 180°·s -1, 300°·s -1), countermovement and drop jumps. To determine the discriminative ability of select lower-limb strength and power characteristics participants were categorized as high-contributors (Males N=18, age=20.3±0.4 yrs, height=183.9±5.5 cm, mass=90.8±5.8 kg; Females N=15, age=20.8±0.8 yrs, height=169.3±6.7 cm, mass=64.1±7.2 kg) or low-contributors (Males N=18, age=19.5±0.2 yrs, height=184.1±5.6 cm; mass=87.9±8.1 kg; Females N=15, age=19.7±0.2 yrs, height=169.8±7.0 cm, mass=62.9±7.7 kg) based upon the number of games the participants competed in during the regular season. Within the male cohort, moderate significant (p<0.05) differences were observed between high-contributors and low-contributors in isokinetic hamstring strength of the left leg at 300°·s -1(d=0.69) and peak power in countermovement jump (d= 0.68). Within the women's cohort a large (d= 0.87) significant difference (p<0.05) in isokinetic strength of the left hamstring was observed between high-contributors and low-contributors at 60°·s -1. Hamstring strength and lower-limb power are important strength measures for lacrosse performance and should be prioritized in training prescription for lacrosse athletes. © 2023 Georg Thieme Verlag. All rights reserved.
Discussion : effects of plastic waste materials on geotechnical properties of clayey soil [doi: 10.1007/s40515-020-00145-4]
- O’Kelly, Brendan, Soltani, Amin
- Authors: O’Kelly, Brendan , Soltani, Amin
- Date: 2023
- Type: Text , Journal article
- Relation: Transportation Infrastructure Geotechnology Vol. 10, no. 2 (2023), p. 359-362
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- Authors: O’Kelly, Brendan , Soltani, Amin
- Date: 2023
- Type: Text , Journal article
- Relation: Transportation Infrastructure Geotechnology Vol. 10, no. 2 (2023), p. 359-362
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Disordered social media use during COVID-19 predicts perceived stress and depression through indirect effects via fear of COVID-19
- Tillman, Gabriel, March, Evita, Lavender, Andrew, Braund, Taylor, Mesagno, Christopher
- Authors: Tillman, Gabriel , March, Evita , Lavender, Andrew , Braund, Taylor , Mesagno, Christopher
- Date: 2023
- Type: Text , Journal article
- Relation: Behavioral Sciences Vol. 13, no. 9 (2023), p.
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- Description: The 2019 novel coronavirus disease (COVID-19) is a global threat that can have an adverse effect on an individuals’ physical and mental health. Here, we investigate if disordered social media use predicts user stress and depression symptoms indirectly via fear of COVID-19. A total of 359 (timepoint 1 = 171, timepoint 2 = 188) participants were recruited via social media and snowball sampling. They completed an online survey that measured disordered social media use, fear of COVID-19, perceived stress, and depression symptomatology at two cross-sectional timepoints. We found that disordered social media use predicts depression indirectly through fear of COVID-19 at both timepoints. We also found that disordered social media use predicts perceived stress indirectly through fear of COVID-19, but only at timepoint 1. Taken together with previous research, our findings indicate that disordered social media use may lead to increased fear of COVID-19, which in turn may lead to poorer psychological wellbeing outcomes. Overall, there is evidence that the impact of the COVID-19 pandemic is affecting the physical, psychological, and emotional health of individuals worldwide. Moreover, this impact may be exacerbated by disordered use of social media. © 2023 by the authors.
- Authors: Tillman, Gabriel , March, Evita , Lavender, Andrew , Braund, Taylor , Mesagno, Christopher
- Date: 2023
- Type: Text , Journal article
- Relation: Behavioral Sciences Vol. 13, no. 9 (2023), p.
- Full Text:
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- Description: The 2019 novel coronavirus disease (COVID-19) is a global threat that can have an adverse effect on an individuals’ physical and mental health. Here, we investigate if disordered social media use predicts user stress and depression symptoms indirectly via fear of COVID-19. A total of 359 (timepoint 1 = 171, timepoint 2 = 188) participants were recruited via social media and snowball sampling. They completed an online survey that measured disordered social media use, fear of COVID-19, perceived stress, and depression symptomatology at two cross-sectional timepoints. We found that disordered social media use predicts depression indirectly through fear of COVID-19 at both timepoints. We also found that disordered social media use predicts perceived stress indirectly through fear of COVID-19, but only at timepoint 1. Taken together with previous research, our findings indicate that disordered social media use may lead to increased fear of COVID-19, which in turn may lead to poorer psychological wellbeing outcomes. Overall, there is evidence that the impact of the COVID-19 pandemic is affecting the physical, psychological, and emotional health of individuals worldwide. Moreover, this impact may be exacerbated by disordered use of social media. © 2023 by the authors.