A systematic review of demographic and background factors associated with the development of children’s aquatic competence
- Duke, Charlotte, Calverley, Hannah, Petrass, Lauren, Peters, Jacqui, Moncrieff, Kate, Konjarski, Loretta, Matthews, Bernadette
- Authors: Duke, Charlotte , Calverley, Hannah , Petrass, Lauren , Peters, Jacqui , Moncrieff, Kate , Konjarski, Loretta , Matthews, Bernadette
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Injury Epidemiology Vol. 10, no. 1 (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Globally, drowning is a leading cause of unintentional injury and death among children. Teaching aquatic competencies (swimming skills and water safety knowledge) to children has been proposed as a prevention strategy. In Australia, however, many children are not meeting standard aquatic competency benchmarks. Exploration of the connection between demographic and background factors and aquatic competencies could provide insight into why differences in acquisition of aquatic knowledge and skills occur. Main body: A systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses was performed to identify studies that reported on the association between demographic and background factors and aquatic competencies. Nine databases were searched for English language peer-reviewed studies published since 2000. Fourteen studies fulfilled all inclusion criteria. Studies were quasi-experimental or cross-sectional in design, which is considered quality level III-2 or IV, respectively, on the National Health and Medical Research Council Evidence Hierarchy. Study quality was moderate, and risk of bias was high. While aquatic competencies can be taught, this review found that factors including age, gender, geographic residence, medical conditions/disabilities, socioeconomic status, and swimming frequency were significantly associated with the demonstration and/or acquisition of aquatic competencies. Conclusion: This review provides insight into demographic and background factors that are significantly associated with the development of aquatic competence. Whilst further investigation is required to increase the evidence base, these findings may assist in tailoring swimming and water safety programs to accommodate those at-risk of not achieving age-appropriate aquatic competencies. © 2023, Columbia University Center for Injury Epidemiology and Prevention.
- Authors: Duke, Charlotte , Calverley, Hannah , Petrass, Lauren , Peters, Jacqui , Moncrieff, Kate , Konjarski, Loretta , Matthews, Bernadette
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Injury Epidemiology Vol. 10, no. 1 (2023), p.
- Full Text:
- Reviewed:
- Description: Background: Globally, drowning is a leading cause of unintentional injury and death among children. Teaching aquatic competencies (swimming skills and water safety knowledge) to children has been proposed as a prevention strategy. In Australia, however, many children are not meeting standard aquatic competency benchmarks. Exploration of the connection between demographic and background factors and aquatic competencies could provide insight into why differences in acquisition of aquatic knowledge and skills occur. Main body: A systematic literature review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses was performed to identify studies that reported on the association between demographic and background factors and aquatic competencies. Nine databases were searched for English language peer-reviewed studies published since 2000. Fourteen studies fulfilled all inclusion criteria. Studies were quasi-experimental or cross-sectional in design, which is considered quality level III-2 or IV, respectively, on the National Health and Medical Research Council Evidence Hierarchy. Study quality was moderate, and risk of bias was high. While aquatic competencies can be taught, this review found that factors including age, gender, geographic residence, medical conditions/disabilities, socioeconomic status, and swimming frequency were significantly associated with the demonstration and/or acquisition of aquatic competencies. Conclusion: This review provides insight into demographic and background factors that are significantly associated with the development of aquatic competence. Whilst further investigation is required to increase the evidence base, these findings may assist in tailoring swimming and water safety programs to accommodate those at-risk of not achieving age-appropriate aquatic competencies. © 2023, Columbia University Center for Injury Epidemiology and Prevention.
A systematic review of industrial wastewater management : evaluating challenges and enablers
- Singh, Bikram, Chakraborty, Ayon, Sehgal, Rippin
- Authors: Singh, Bikram , Chakraborty, Ayon , Sehgal, Rippin
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Journal of Environmental Management Vol. 348, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The study provides a systematic literature review (SLR) encompassing industrial wastewater management research from the past decade, examining enablers, challenges, and prevailing practices. Originating from manufacturing, energy production, and diverse industrial processes, industrial wastewater's handling is critical due to its potential to impact the environment and public health. The research aims to comprehend the current state of industrial wastewater management, pinpoint gaps, and outline future research prospects. The SLR methodology involves scouring the Scopus database, yielding an initial pool of 253 articles. Refinement via search code leaves 101 articles, followed by abstract screening that reduces articles to 79, and finally 66 well-focused articles left for thorough full-text examination. Results underscore the significance of regulatory frameworks, technological innovation, and sustainability considerations as cornerstones for effective wastewater management. However, substantial impediments like; inadequate infrastructure, resource constraints and the necessity for stakeholder collaboration still exist. The study highlights emerging research domains, exemplified by advanced technologies like nanotechnology and bioremediation, alongside the pivotal role of circular economy principles in wastewater management. The SLR offers an exhaustive view of contemporary industrial wastewater management, accentuating the imperative of an all-encompassing approach that integrates regulatory, technological, and sustainability facets. Notably, the research identifies gaps and opportunities for forthcoming exploration, advocating for interdisciplinary research and intensified stakeholder collaboration. The study's insights cater to policymakers, practitioners, and researchers, equipping them to address the challenges and capitalize on prospects in industrial wastewater management effectively. © 2023 The Author(s)
- Authors: Singh, Bikram , Chakraborty, Ayon , Sehgal, Rippin
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Journal of Environmental Management Vol. 348, no. (2023), p.
- Full Text:
- Reviewed:
- Description: The study provides a systematic literature review (SLR) encompassing industrial wastewater management research from the past decade, examining enablers, challenges, and prevailing practices. Originating from manufacturing, energy production, and diverse industrial processes, industrial wastewater's handling is critical due to its potential to impact the environment and public health. The research aims to comprehend the current state of industrial wastewater management, pinpoint gaps, and outline future research prospects. The SLR methodology involves scouring the Scopus database, yielding an initial pool of 253 articles. Refinement via search code leaves 101 articles, followed by abstract screening that reduces articles to 79, and finally 66 well-focused articles left for thorough full-text examination. Results underscore the significance of regulatory frameworks, technological innovation, and sustainability considerations as cornerstones for effective wastewater management. However, substantial impediments like; inadequate infrastructure, resource constraints and the necessity for stakeholder collaboration still exist. The study highlights emerging research domains, exemplified by advanced technologies like nanotechnology and bioremediation, alongside the pivotal role of circular economy principles in wastewater management. The SLR offers an exhaustive view of contemporary industrial wastewater management, accentuating the imperative of an all-encompassing approach that integrates regulatory, technological, and sustainability facets. Notably, the research identifies gaps and opportunities for forthcoming exploration, advocating for interdisciplinary research and intensified stakeholder collaboration. The study's insights cater to policymakers, practitioners, and researchers, equipping them to address the challenges and capitalize on prospects in industrial wastewater management effectively. © 2023 The Author(s)
A systematic review of preceptor's experience in supervising undergraduate nursing students : lessons learned for mental health nursing
- Benny, Jessy, Porter, Joanne, Joseph, Bindu
- Authors: Benny, Jessy , Porter, Joanne , Joseph, Bindu
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Nursing Open Vol. 10, no. 4 (2023), p. 2003-2014
- Full Text:
- Reviewed:
- Description: Background: Preceptorship in nursing has been a valued concept in nursing. Speciality area such as mental health nursing has a massive gap in research study. To develop sturdy mental health nursing workforce, it is necessary to conduct more studies. Aim: This literature review aims to explore preceptor's experience in precepting undergraduate nursing students in mental health. Design: Systematic review of literature. Methods: The systematic review was conducted from January 2021 to August 2021. Population of the studies included Registered Nurses supervising nursing students in the clinical area. Only studies conducted in English were included. A systematic search using EBSCO Host databases, CINAHL Complete, MEDLINE APA Psycinfo & APA PsycArticles, has been used in this review paper. Papers were also selected from the citation reference of included papers. The new version of the PRISMA 2020 guidelines used to represent the process of selection of papers has been incorporated as part of this review. The final set of data included 14 original papers meeting the eligibility criteria which involved quantitative (n = 5), qualitative (n = 4) and mixed-method studies (n = 5). Result: Results were presented under three major themes: time-consuming, lack of recognition and need extra support. Further research is required in the mental health clinical setting to effectively explore the impact of relationships between preceptors and the preceptees. Conclusion: Preceptors reported supervising students in the clinical area has many benefits. However, some challenges they raised were increase in workload, requiring some guidance and acknowledgement from the organization. © 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd.
- Authors: Benny, Jessy , Porter, Joanne , Joseph, Bindu
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Nursing Open Vol. 10, no. 4 (2023), p. 2003-2014
- Full Text:
- Reviewed:
- Description: Background: Preceptorship in nursing has been a valued concept in nursing. Speciality area such as mental health nursing has a massive gap in research study. To develop sturdy mental health nursing workforce, it is necessary to conduct more studies. Aim: This literature review aims to explore preceptor's experience in precepting undergraduate nursing students in mental health. Design: Systematic review of literature. Methods: The systematic review was conducted from January 2021 to August 2021. Population of the studies included Registered Nurses supervising nursing students in the clinical area. Only studies conducted in English were included. A systematic search using EBSCO Host databases, CINAHL Complete, MEDLINE APA Psycinfo & APA PsycArticles, has been used in this review paper. Papers were also selected from the citation reference of included papers. The new version of the PRISMA 2020 guidelines used to represent the process of selection of papers has been incorporated as part of this review. The final set of data included 14 original papers meeting the eligibility criteria which involved quantitative (n = 5), qualitative (n = 4) and mixed-method studies (n = 5). Result: Results were presented under three major themes: time-consuming, lack of recognition and need extra support. Further research is required in the mental health clinical setting to effectively explore the impact of relationships between preceptors and the preceptees. Conclusion: Preceptors reported supervising students in the clinical area has many benefits. However, some challenges they raised were increase in workload, requiring some guidance and acknowledgement from the organization. © 2022 The Authors. Nursing Open published by John Wiley & Sons Ltd.
A systematic review of wheelchair and mobility scooter containment systems used internationally on public transit buses
- Unsworth, Carolyn, Timmer, Amanda
- Authors: Unsworth, Carolyn , Timmer, Amanda
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 20 (2023), p.
- Full Text:
- Reviewed:
- Description: Despite the daily need for people to travel on public transit buses using their wheeled mobility devices, relatively little information is available regarding the most efficacious, affordable, and independent approaches to assist passengers with keeping their mobility devices in the designated wheelchair access space. A systematic review was undertaken to summarize this literature, place it within a geographical and temporal context, appraise its quality, and establish common themes. Key academic and grey literature transportation databases and government websites searched from 1990 to May 2022 identified 33 documents, which were appraised using the Mixed Methods Appraisal Tool (MMAT) or the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) tool. Overall, the documents included were of good quality. The literature retrieved focused on the development and testing of the active containment systems favored for use in North America with a contrastingly small examination of the effectiveness of passive or semi-passive containment systems. Almost no literature was retrieved in English from European researchers documenting the use or effectiveness of rearward-facing passive systems. While tip or slide events are relatively rare among mobility device users, the effective use of containment systems is vital to minimize these. Further research is required to support transport policy makers, operators, and bus drivers to identify and correctly implement optimal containment systems to promote safety for all passengers on public buses. © 2023 by the authors.
- Authors: Unsworth, Carolyn , Timmer, Amanda
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 20, no. 20 (2023), p.
- Full Text:
- Reviewed:
- Description: Despite the daily need for people to travel on public transit buses using their wheeled mobility devices, relatively little information is available regarding the most efficacious, affordable, and independent approaches to assist passengers with keeping their mobility devices in the designated wheelchair access space. A systematic review was undertaken to summarize this literature, place it within a geographical and temporal context, appraise its quality, and establish common themes. Key academic and grey literature transportation databases and government websites searched from 1990 to May 2022 identified 33 documents, which were appraised using the Mixed Methods Appraisal Tool (MMAT) or the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) tool. Overall, the documents included were of good quality. The literature retrieved focused on the development and testing of the active containment systems favored for use in North America with a contrastingly small examination of the effectiveness of passive or semi-passive containment systems. Almost no literature was retrieved in English from European researchers documenting the use or effectiveness of rearward-facing passive systems. While tip or slide events are relatively rare among mobility device users, the effective use of containment systems is vital to minimize these. Further research is required to support transport policy makers, operators, and bus drivers to identify and correctly implement optimal containment systems to promote safety for all passengers on public buses. © 2023 by the authors.
A true triaxial strength criterion for rocks by gene expression programming
- Zhou, Jian, Zhang, Rui, Qiu, Yingui, Khandelwal, Manoj
- Authors: Zhou, Jian , Zhang, Rui , Qiu, Yingui , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Rock Mechanics and Geotechnical Engineering Vol. 15, no. 10 (2023), p. 2508-2520
- Full Text:
- Reviewed:
- Description: Rock strength is a crucial factor to consider when designing and constructing underground projects. This study utilizes a gene expression programming (GEP) algorithm-based model to predict the true triaxial strength of rocks, taking into account the influence of rock genesis on their mechanical behavior during the model building process. A true triaxial strength criterion based on the GEP model for igneous, metamorphic and magmatic rocks was obtained by training the model using collected data. Compared to the modified Weibols-Cook criterion, the modified Mohr-Coulomb criterion, and the modified Lade criterion, the strength criterion based on the GEP model exhibits superior prediction accuracy performance. The strength criterion based on the GEP model has better performance in R2, RMSE and MAPE for the data set used in this study. Furthermore, the strength criterion based on the GEP model shows greater stability in predicting the true triaxial strength of rocks across different types. Compared to the existing strength criterion based on the genetic programming (GP) model, the proposed criterion based on GEP model achieves more accurate predictions of the variation of true triaxial strength (
- Authors: Zhou, Jian , Zhang, Rui , Qiu, Yingui , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Rock Mechanics and Geotechnical Engineering Vol. 15, no. 10 (2023), p. 2508-2520
- Full Text:
- Reviewed:
- Description: Rock strength is a crucial factor to consider when designing and constructing underground projects. This study utilizes a gene expression programming (GEP) algorithm-based model to predict the true triaxial strength of rocks, taking into account the influence of rock genesis on their mechanical behavior during the model building process. A true triaxial strength criterion based on the GEP model for igneous, metamorphic and magmatic rocks was obtained by training the model using collected data. Compared to the modified Weibols-Cook criterion, the modified Mohr-Coulomb criterion, and the modified Lade criterion, the strength criterion based on the GEP model exhibits superior prediction accuracy performance. The strength criterion based on the GEP model has better performance in R2, RMSE and MAPE for the data set used in this study. Furthermore, the strength criterion based on the GEP model shows greater stability in predicting the true triaxial strength of rocks across different types. Compared to the existing strength criterion based on the genetic programming (GP) model, the proposed criterion based on GEP model achieves more accurate predictions of the variation of true triaxial strength (
Access and engagement of First Nations women in maternal and child health services
- Authors: Austin, Catherine
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis explores and describes the engagement of First Nations women, with children from birth to five years of age, with Maternal and Child Health (MCH) services in Victoria, Australia. Identification of the factors that facilitate, support or hinder these women’s engagement with MCH services could strengthen the model of care to effectively engage First Nations women with these services. Access in the early years of a child’s life to integrated, effective, community-based services is a well-established predictor of a child’s successful transition to school and their lifelong education and employment outcomes. Such access is crucial in a child’s first 2,000 days (the period from conception to the child’s fifth year), which forms the foundation for a child’s lifetime development and health. Prior evaluative studies have shown that participation in MCH services in Victoria improves the health outcomes for children and families, particularly First Nations families. However, First Nations women and their children in Victoria show poorer health outcomes and lower participation in MCH services compared to non-Indigenous persons; this suggests a need to improve the current Victorian MCH service model. This thesis contributes recommendations for such improvements. The literature review (Chapter 2) identified the absence of a synthesis of qualitative studies of models of care to help guide MCH practice and innovation for all families, especially those at risk of child abuse and neglect. To address this gap, a three-phase qualitative study was conducted in the Glenelg Shire, Victoria, Australia, using narrative inquiry integrated with the Indigenous philosophy ‘Dadirri’. ‘Dadirri’, which emphasises deep and respectful listening, guided the development of the research design; this methodology assisted in understanding Indigenous culture and its sensitivities, building trust with the First Nations peoples involved in the studies, developing open-ended and conversational dialogue, and building respectful relationships. This method enabled First Nations women’s voices to be heard and the collection of rich data based on participants’ perspectives of and experiences with MCH services in Victoria. Study One (Chapter 4) recruited First Nations women residing in the Glenelg Shire, with at least one child aged birth to five years, to explore their perceptions and experiences of MCH services and barriers to accessing and engaging with MCH services. Study Two (Chapter 5) compared Study One data with accounts from MCH nurses working in Glenelg Shire. Study Three (Chapter 6) reviewed a piloting of the Early Assessment Referral Links (EARL) concept (developed by the researcher) that aims to improve First Nations women and their children’s access to and engagement with MCH services. EARL involved the core principles of narrative inquiry integrated with ‘Dadirri’. Study One and Two found that enabling factors for access and engagement include interventions that are culturally sensitive and effective; recognise the social determinates of health (SDOH) and social and emotional wellbeing; are timely, appropriate, culturally strong, flexible, holistic and community-based; support continuity of care and communication; and encourage early identification of risk, particularly of family violence (FV), and further assessment, intervention, referral and support in the child’s first 2,000 days. Barriers to access and engagement include an ineffective service model built on mistrust, poor communication due to cultural differences between client and provider (particularly around identification and disclosure of woman’s risk of FV), lack of continuity of care between services, limited flexibility of service delivery to suit individual needs, and a service model that does not recognise the importance of the SDOH and social and emotional wellbeing. Study Three results showed that participation of First Nations families in MCH services was consistently above the state average during the pilot period, and several First Nations families were referred to EARL stakeholders and other health professionals during the pilot. Further, there were increases in First Nations children being breastfed, fully immunised and attending Early Start Kindergarten, and identification of First Nations children at risk of abuse or neglect improved (with a significant increase in referrals for FV and child protection and significant decrease in episodes of out-of-home care). This thesis’s findings can support policy development. This research shows that timely, effective, holistic engagement with First Nations women in their child’s first 2,000 days, that respects their culture and facilitates genuine partnerships built on co-design and shared decision-making with the Indigenous community, needs to be an essential part of the MCH service model. Additionally, this thesis recommends adopting a strengths-based approach that respects First Nations peoples’ child-rearing practices and culture, and providing necessary training to MCH nurses who work with First Nations families. Keywords: child family health, continuity of care, First Nations women
- Description: Doctor of Philosophy
- Authors: Austin, Catherine
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: This thesis explores and describes the engagement of First Nations women, with children from birth to five years of age, with Maternal and Child Health (MCH) services in Victoria, Australia. Identification of the factors that facilitate, support or hinder these women’s engagement with MCH services could strengthen the model of care to effectively engage First Nations women with these services. Access in the early years of a child’s life to integrated, effective, community-based services is a well-established predictor of a child’s successful transition to school and their lifelong education and employment outcomes. Such access is crucial in a child’s first 2,000 days (the period from conception to the child’s fifth year), which forms the foundation for a child’s lifetime development and health. Prior evaluative studies have shown that participation in MCH services in Victoria improves the health outcomes for children and families, particularly First Nations families. However, First Nations women and their children in Victoria show poorer health outcomes and lower participation in MCH services compared to non-Indigenous persons; this suggests a need to improve the current Victorian MCH service model. This thesis contributes recommendations for such improvements. The literature review (Chapter 2) identified the absence of a synthesis of qualitative studies of models of care to help guide MCH practice and innovation for all families, especially those at risk of child abuse and neglect. To address this gap, a three-phase qualitative study was conducted in the Glenelg Shire, Victoria, Australia, using narrative inquiry integrated with the Indigenous philosophy ‘Dadirri’. ‘Dadirri’, which emphasises deep and respectful listening, guided the development of the research design; this methodology assisted in understanding Indigenous culture and its sensitivities, building trust with the First Nations peoples involved in the studies, developing open-ended and conversational dialogue, and building respectful relationships. This method enabled First Nations women’s voices to be heard and the collection of rich data based on participants’ perspectives of and experiences with MCH services in Victoria. Study One (Chapter 4) recruited First Nations women residing in the Glenelg Shire, with at least one child aged birth to five years, to explore their perceptions and experiences of MCH services and barriers to accessing and engaging with MCH services. Study Two (Chapter 5) compared Study One data with accounts from MCH nurses working in Glenelg Shire. Study Three (Chapter 6) reviewed a piloting of the Early Assessment Referral Links (EARL) concept (developed by the researcher) that aims to improve First Nations women and their children’s access to and engagement with MCH services. EARL involved the core principles of narrative inquiry integrated with ‘Dadirri’. Study One and Two found that enabling factors for access and engagement include interventions that are culturally sensitive and effective; recognise the social determinates of health (SDOH) and social and emotional wellbeing; are timely, appropriate, culturally strong, flexible, holistic and community-based; support continuity of care and communication; and encourage early identification of risk, particularly of family violence (FV), and further assessment, intervention, referral and support in the child’s first 2,000 days. Barriers to access and engagement include an ineffective service model built on mistrust, poor communication due to cultural differences between client and provider (particularly around identification and disclosure of woman’s risk of FV), lack of continuity of care between services, limited flexibility of service delivery to suit individual needs, and a service model that does not recognise the importance of the SDOH and social and emotional wellbeing. Study Three results showed that participation of First Nations families in MCH services was consistently above the state average during the pilot period, and several First Nations families were referred to EARL stakeholders and other health professionals during the pilot. Further, there were increases in First Nations children being breastfed, fully immunised and attending Early Start Kindergarten, and identification of First Nations children at risk of abuse or neglect improved (with a significant increase in referrals for FV and child protection and significant decrease in episodes of out-of-home care). This thesis’s findings can support policy development. This research shows that timely, effective, holistic engagement with First Nations women in their child’s first 2,000 days, that respects their culture and facilitates genuine partnerships built on co-design and shared decision-making with the Indigenous community, needs to be an essential part of the MCH service model. Additionally, this thesis recommends adopting a strengths-based approach that respects First Nations peoples’ child-rearing practices and culture, and providing necessary training to MCH nurses who work with First Nations families. Keywords: child family health, continuity of care, First Nations women
- Description: Doctor of Philosophy
Acupuncture for comorbid depression and insomnia in perimenopause : a feasibility patient-assessor-blinded, randomized, and sham-controlled clinical trial
- Zhao, Fei, Zheng, Zhen, Fu, Qiang-Qiang, Conduit, Russell, Xu, Hong, Wang, Hui-ru, Huang, Yu-Ling, Jiang, Ting, Zhang, Wen-Jing, Kennedy, Gerard
- Authors: Zhao, Fei , Zheng, Zhen , Fu, Qiang-Qiang , Conduit, Russell , Xu, Hong , Wang, Hui-ru , Huang, Yu-Ling , Jiang, Ting , Zhang, Wen-Jing , Kennedy, Gerard
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Public Health Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background and objective: Whilst acupuncture is widely used for treating psychosomatic diseases, there is little high-quality evidence supporting its application in comorbid perimenopausal depression (PMD) and insomnia (PMI) which are common complaints during climacteric. This feasibility, patient-assessor-blinded, randomized, sham-controlled clinical trial addresses this gap by investigating the efficacy and safety of acupuncture on depressed mood and poor sleep in women with comorbid PMD and PMI. Methods: Seventy eligible participants were randomly assigned to either real-acupuncture (RA) or sham-acupuncture (SA) groups. Either RA or SA treatment were delivered in 17 sessions over 8 weeks. The primary outcomes for mood and sleep were changes on 17-items Hamilton Depression Rating Scale (HAM-D17) and Pittsburgh Sleep Quality Index (PSQI) scores, from baseline to 16-week follow-up. Secondary outcome measures involved anxiety symptoms, perimenopausal symptoms, quality of life, participants' experience of and satisfaction with the acupuncture treatment. Blood samples were taken to measure reproductive hormone levels. Intention-To-Treat and Per-Protocol analyses were conducted with linear mixed-effects models. The James' and Bang's blinding indices were used to assess the adequacy of blinding. Results: Sixty-five participants completed all treatment sessions, and 54 and 41 participants completed the eight- and 16-week follow-ups, respectively. At post-treatment and 8-week follow-up, the RA group showed a significantly greater reduction in PSQI scores than the SA group did; although the reduction of HAM-D17 scores in RA group was significant, the change was not statistically different from that of SA. There were no significant mean differences between baseline and 16-week follow-up in either HAM-D17 or PSQI in either group. There were no significant between-group differences in serum reproductive hormone levels. All treatments were tolerable and no serious adverse events were reported, and the blinding was successful. Conclusion: Acupuncture is safe and can contribute to clinically relevant improvements in comorbid PMD and PMI, with satisfactory short-and medium-term effects. Whether the anti-depressive benefit of acupuncture is specific or non-specific remains to be determined. No evidence was found for any longer-term benefit of acupuncture compared to sham at 16 weeks. Further research is required to elucidate mechanisms underlying the short to medium term effects of acupuncture. Copyright © 2023 Zhao, Zheng, Fu, Conduit, Xu, Wang, Huang, Jiang, Zhang and Kennedy.
- Authors: Zhao, Fei , Zheng, Zhen , Fu, Qiang-Qiang , Conduit, Russell , Xu, Hong , Wang, Hui-ru , Huang, Yu-Ling , Jiang, Ting , Zhang, Wen-Jing , Kennedy, Gerard
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Public Health Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Background and objective: Whilst acupuncture is widely used for treating psychosomatic diseases, there is little high-quality evidence supporting its application in comorbid perimenopausal depression (PMD) and insomnia (PMI) which are common complaints during climacteric. This feasibility, patient-assessor-blinded, randomized, sham-controlled clinical trial addresses this gap by investigating the efficacy and safety of acupuncture on depressed mood and poor sleep in women with comorbid PMD and PMI. Methods: Seventy eligible participants were randomly assigned to either real-acupuncture (RA) or sham-acupuncture (SA) groups. Either RA or SA treatment were delivered in 17 sessions over 8 weeks. The primary outcomes for mood and sleep were changes on 17-items Hamilton Depression Rating Scale (HAM-D17) and Pittsburgh Sleep Quality Index (PSQI) scores, from baseline to 16-week follow-up. Secondary outcome measures involved anxiety symptoms, perimenopausal symptoms, quality of life, participants' experience of and satisfaction with the acupuncture treatment. Blood samples were taken to measure reproductive hormone levels. Intention-To-Treat and Per-Protocol analyses were conducted with linear mixed-effects models. The James' and Bang's blinding indices were used to assess the adequacy of blinding. Results: Sixty-five participants completed all treatment sessions, and 54 and 41 participants completed the eight- and 16-week follow-ups, respectively. At post-treatment and 8-week follow-up, the RA group showed a significantly greater reduction in PSQI scores than the SA group did; although the reduction of HAM-D17 scores in RA group was significant, the change was not statistically different from that of SA. There were no significant mean differences between baseline and 16-week follow-up in either HAM-D17 or PSQI in either group. There were no significant between-group differences in serum reproductive hormone levels. All treatments were tolerable and no serious adverse events were reported, and the blinding was successful. Conclusion: Acupuncture is safe and can contribute to clinically relevant improvements in comorbid PMD and PMI, with satisfactory short-and medium-term effects. Whether the anti-depressive benefit of acupuncture is specific or non-specific remains to be determined. No evidence was found for any longer-term benefit of acupuncture compared to sham at 16 weeks. Further research is required to elucidate mechanisms underlying the short to medium term effects of acupuncture. Copyright © 2023 Zhao, Zheng, Fu, Conduit, Xu, Wang, Huang, Jiang, Zhang and Kennedy.
Adaptive phase-field modelling of fracture propagation in poroelastic media using the scaled boundary finite element method
- Wijesinghe, Dakshith, Natarajan, Sundararajan, You, Greg, Khandelwal, Manoj, Dyson, Ashley, Song, Chongmin, Ooi, Ean Tat
- Authors: Wijesinghe, Dakshith , Natarajan, Sundararajan , You, Greg , Khandelwal, Manoj , Dyson, Ashley , Song, Chongmin , Ooi, Ean Tat
- Date: 2023
- Type: Text , Journal article
- Relation: Computer Methods in Applied Mechanics and Engineering Vol. 411, no. (2023), p.
- Full Text:
- Reviewed:
- Description: A scaled boundary finite element-based phase field formulation is proposed to model two-dimensional fracture in saturated poroelastic media. The mechanical response of the poroelastic media is simulated following Biot's theory, and the fracture surface evolution is modelled according to the phase field formulation. To avoid the application of fine uniform meshes that are constrained by the element size requirement when adopting phase field models, an adaptive refinement strategy based on quadtree meshes is adopted. The unique advantage of the scaled boundary finite element method is conducive to the application of quadtree adaptivity, as it can be directly formulated on quadtree meshes without the need for any special treatment of hanging nodes. Efficient computation is achieved by exploiting the unique patterns of the quadtree cells. An appropriate scaling is applied to the relevant matrices and vectors according the physical size of the cells in the mesh during the simulations. This avoids repetitive calculations of cells with the same configurations. The proposed model is validated using a benchmark with a known analytical solution. Numerical examples of hydraulic fractures driven by the injected fluid in cracks are modelled to illustrate the capabilities of the proposed model in handling crack propagation problems involving complex geometries. © 2023 The Author(s)
- Authors: Wijesinghe, Dakshith , Natarajan, Sundararajan , You, Greg , Khandelwal, Manoj , Dyson, Ashley , Song, Chongmin , Ooi, Ean Tat
- Date: 2023
- Type: Text , Journal article
- Relation: Computer Methods in Applied Mechanics and Engineering Vol. 411, no. (2023), p.
- Full Text:
- Reviewed:
- Description: A scaled boundary finite element-based phase field formulation is proposed to model two-dimensional fracture in saturated poroelastic media. The mechanical response of the poroelastic media is simulated following Biot's theory, and the fracture surface evolution is modelled according to the phase field formulation. To avoid the application of fine uniform meshes that are constrained by the element size requirement when adopting phase field models, an adaptive refinement strategy based on quadtree meshes is adopted. The unique advantage of the scaled boundary finite element method is conducive to the application of quadtree adaptivity, as it can be directly formulated on quadtree meshes without the need for any special treatment of hanging nodes. Efficient computation is achieved by exploiting the unique patterns of the quadtree cells. An appropriate scaling is applied to the relevant matrices and vectors according the physical size of the cells in the mesh during the simulations. This avoids repetitive calculations of cells with the same configurations. The proposed model is validated using a benchmark with a known analytical solution. Numerical examples of hydraulic fractures driven by the injected fluid in cracks are modelled to illustrate the capabilities of the proposed model in handling crack propagation problems involving complex geometries. © 2023 The Author(s)
Addressing global disparities in blood pressure control : perspectives of the International Society of Hypertension
- Schutte, Aletta, Jafar, Tazeen, Poulter, Neil, Damasceno, Albertino, Khan, Nadia, Nilsson, Peter, Alsaid, Jafar, Neupane, Dinesh, Kario, Kazuomi, Beheiry, Hind, Brouwers, Sofie, Burger, Dylan, Charchar, Fadi, Cho, Myeong-Chan, Guzik, Tomasz, Haji Al-Saedi, Ghazi, Ishaq, Muhammad, Itoh, Hiroshi, Jones, Erika, Khan, Taskeen, Kokubo, Yoshihiro, Kotruchin, Praew, Muxfeldt, Elizabeth, Odili, Augustine, Patil, Mansi, Ralapanawa, Udaya, Romero, Cesar, Schlaich, Markus, Shehab, Abdulla, Mooi, Ching
- Authors: Schutte, Aletta , Jafar, Tazeen , Poulter, Neil , Damasceno, Albertino , Khan, Nadia , Nilsson, Peter , Alsaid, Jafar , Neupane, Dinesh , Kario, Kazuomi , Beheiry, Hind , Brouwers, Sofie , Burger, Dylan , Charchar, Fadi , Cho, Myeong-Chan , Guzik, Tomasz , Haji Al-Saedi, Ghazi , Ishaq, Muhammad , Itoh, Hiroshi , Jones, Erika , Khan, Taskeen , Kokubo, Yoshihiro , Kotruchin, Praew , Muxfeldt, Elizabeth , Odili, Augustine , Patil, Mansi , Ralapanawa, Udaya , Romero, Cesar , Schlaich, Markus , Shehab, Abdulla , Mooi, Ching
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Cardiovascular Research Vol. 119, no. 2 (2023), p. 381-409
- Full Text:
- Reviewed:
- Description: Raised blood pressure (BP) is the leading cause of preventable death in the world. Yet, its global prevalence is increasing, and it remains poorly detected, treated, and controlled in both high- and low-resource settings. From the perspective of members of the International Society of Hypertension based in all regions, we reflect on the past, present, and future of hypertension care, highlighting key challenges and opportunities, which are often region-specific. We report that most countries failed to show sufficient improvements in BP control rates over the past three decades, with greater improvements mainly seen in some high-income countries, also reflected in substantial reductions in the burden of cardiovascular disease and deaths. Globally, there are significant inequities and disparities based on resources, sociodemographic environment, and race with subsequent disproportionate hypertension-related outcomes. Additional unique challenges in specific regions include conflict, wars, migration, unemployment, rapid urbanization, extremely limited funding, pollution, COVID-19-related restrictions and inequalities, obesity, and excessive salt and alcohol intake. Immediate action is needed to address suboptimal hypertension care and related disparities on a global scale. We propose a Global Hypertension Care Taskforce including multiple stakeholders and societies to identify and implement actions in reducing inequities, addressing social, commercial, and environmental determinants, and strengthening health systems implement a well-designed customized quality-of-care improvement framework. © 2022 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar” is provided in this record**
- Authors: Schutte, Aletta , Jafar, Tazeen , Poulter, Neil , Damasceno, Albertino , Khan, Nadia , Nilsson, Peter , Alsaid, Jafar , Neupane, Dinesh , Kario, Kazuomi , Beheiry, Hind , Brouwers, Sofie , Burger, Dylan , Charchar, Fadi , Cho, Myeong-Chan , Guzik, Tomasz , Haji Al-Saedi, Ghazi , Ishaq, Muhammad , Itoh, Hiroshi , Jones, Erika , Khan, Taskeen , Kokubo, Yoshihiro , Kotruchin, Praew , Muxfeldt, Elizabeth , Odili, Augustine , Patil, Mansi , Ralapanawa, Udaya , Romero, Cesar , Schlaich, Markus , Shehab, Abdulla , Mooi, Ching
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Cardiovascular Research Vol. 119, no. 2 (2023), p. 381-409
- Full Text:
- Reviewed:
- Description: Raised blood pressure (BP) is the leading cause of preventable death in the world. Yet, its global prevalence is increasing, and it remains poorly detected, treated, and controlled in both high- and low-resource settings. From the perspective of members of the International Society of Hypertension based in all regions, we reflect on the past, present, and future of hypertension care, highlighting key challenges and opportunities, which are often region-specific. We report that most countries failed to show sufficient improvements in BP control rates over the past three decades, with greater improvements mainly seen in some high-income countries, also reflected in substantial reductions in the burden of cardiovascular disease and deaths. Globally, there are significant inequities and disparities based on resources, sociodemographic environment, and race with subsequent disproportionate hypertension-related outcomes. Additional unique challenges in specific regions include conflict, wars, migration, unemployment, rapid urbanization, extremely limited funding, pollution, COVID-19-related restrictions and inequalities, obesity, and excessive salt and alcohol intake. Immediate action is needed to address suboptimal hypertension care and related disparities on a global scale. We propose a Global Hypertension Care Taskforce including multiple stakeholders and societies to identify and implement actions in reducing inequities, addressing social, commercial, and environmental determinants, and strengthening health systems implement a well-designed customized quality-of-care improvement framework. © 2022 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology. **Please note that there are multiple authors for this article therefore only the name of the first 30 including Federation University Australia affiliate “Fadi Charchar” is provided in this record**
ADHD symptoms among adolescents : measurement invariance across mother and adolescent self-ratings
- Gomez, Rapson, Houghton, Stephen
- Authors: Gomez, Rapson , Houghton, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 213, no. (2023), p.
- Full Text:
- Reviewed:
- Description: This study employed confirmatory factor analysis (CFA) to examine measurement invariance (configural, metric, and scalar) across mother and adolescent self-ratings of ADHD symptoms [inattention (IA), hyperactivity (HY), and impulsivity (IM)] as presented in the Disruptive Behavior Rating Scale (DBRS; Barkley & Murphy, 1998). The ADHD model used for this analysis was the ICD-10 3-factor model, with factors for IA, HY and IM. Findings supported configural invariance. Of the 18 ADHD symptoms, 4 symptoms (three of which were IA symptoms) lacked metric invariance. Nine thresholds (1 IA symptom, 6 HY symptoms, and 2 IM symptoms) lacked scalar invariance, with six being for the first thresholds. The psychometric and practical implications of the findings are discussed. © 2023 The Authors
- Authors: Gomez, Rapson , Houghton, Stephen
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 213, no. (2023), p.
- Full Text:
- Reviewed:
- Description: This study employed confirmatory factor analysis (CFA) to examine measurement invariance (configural, metric, and scalar) across mother and adolescent self-ratings of ADHD symptoms [inattention (IA), hyperactivity (HY), and impulsivity (IM)] as presented in the Disruptive Behavior Rating Scale (DBRS; Barkley & Murphy, 1998). The ADHD model used for this analysis was the ICD-10 3-factor model, with factors for IA, HY and IM. Findings supported configural invariance. Of the 18 ADHD symptoms, 4 symptoms (three of which were IA symptoms) lacked metric invariance. Nine thresholds (1 IA symptom, 6 HY symptoms, and 2 IM symptoms) lacked scalar invariance, with six being for the first thresholds. The psychometric and practical implications of the findings are discussed. © 2023 The Authors
Aerosol delivery of palivizumab in a neonatal lamb model of respiratory syncytial virus infection
- Edirisinghe, Hasindu, Rajapaksa, Anushi, Royce, Simon, Sourial, Magdy, Bischof, Robert, Anderson, Jeremy, Sarila, Gulcan, Nguyen, Cattram, Mulholland, Kim, Do, Lien, Licciardi, Paul
- Authors: Edirisinghe, Hasindu , Rajapaksa, Anushi , Royce, Simon , Sourial, Magdy , Bischof, Robert , Anderson, Jeremy , Sarila, Gulcan , Nguyen, Cattram , Mulholland, Kim , Do, Lien , Licciardi, Paul
- Date: 2023
- Type: Text , Journal article
- Relation: Viruses Vol. 15, no. 11 (2023), p.
- Full Text:
- Reviewed:
- Description: (1) Background: Palivizumab has been an approved preventative monoclonal antibody for respiratory syncytial virus (RSV) infection for over two decades. However, due to its high cost and requirement for multiple intramuscular injections, its use has been limited mostly to high-income countries. Following our previous study showing the successful lung deposition of aerosolised palivizumab in lambs, this current study evaluated the “proof-of-principle” effect of aerosolised palivizumab delivered as a therapeutic to neonatal lambs following RSV infection. (2) Methods: Neonatal lambs were intranasally inoculated with RSV-A2 on day 0 (day 3 post-birth) and treated with aerosolised palivizumab 3 days later (day 3 post-inoculation). Clinical symptoms, RSV viral load and inflammatory response were measured post-inoculation. (3) Results: Aerosolised therapeutic delivery of palivizumab did not reduce RSV viral loads in the nasopharynx nor the bronchoalveolar lavage fluid, but resulted in a modest reduction in inflammatory response at day 6 post-inoculation compared with untreated lambs. (4) Conclusions: This proof-of-principle study shows some evidence of aerosolised palivizumab reducing RSV inflammation, but further studies using optimized protocols are needed in order to validate these findings. © 2023 by the authors.
- Authors: Edirisinghe, Hasindu , Rajapaksa, Anushi , Royce, Simon , Sourial, Magdy , Bischof, Robert , Anderson, Jeremy , Sarila, Gulcan , Nguyen, Cattram , Mulholland, Kim , Do, Lien , Licciardi, Paul
- Date: 2023
- Type: Text , Journal article
- Relation: Viruses Vol. 15, no. 11 (2023), p.
- Full Text:
- Reviewed:
- Description: (1) Background: Palivizumab has been an approved preventative monoclonal antibody for respiratory syncytial virus (RSV) infection for over two decades. However, due to its high cost and requirement for multiple intramuscular injections, its use has been limited mostly to high-income countries. Following our previous study showing the successful lung deposition of aerosolised palivizumab in lambs, this current study evaluated the “proof-of-principle” effect of aerosolised palivizumab delivered as a therapeutic to neonatal lambs following RSV infection. (2) Methods: Neonatal lambs were intranasally inoculated with RSV-A2 on day 0 (day 3 post-birth) and treated with aerosolised palivizumab 3 days later (day 3 post-inoculation). Clinical symptoms, RSV viral load and inflammatory response were measured post-inoculation. (3) Results: Aerosolised therapeutic delivery of palivizumab did not reduce RSV viral loads in the nasopharynx nor the bronchoalveolar lavage fluid, but resulted in a modest reduction in inflammatory response at day 6 post-inoculation compared with untreated lambs. (4) Conclusions: This proof-of-principle study shows some evidence of aerosolised palivizumab reducing RSV inflammation, but further studies using optimized protocols are needed in order to validate these findings. © 2023 by the authors.
Aerosol exposure of live bird market workers to viable influenza A/H5N1 and A/H9N2 viruses, Cambodia
- Horwood, Paul, Horm, Srey, Yann, Sokhoun, Tok, Songha, Chan, Malen, Suttie, Annika, Phalla, Y, Rith, Sareth, Siegers, Jurre, San, Sorn, Davun, Holl, Tum, Sothyra, Ly, Sowath, Tarantola, Arnaud, Dussart, Philippe, Karlsson, Erik
- Authors: Horwood, Paul , Horm, Srey , Yann, Sokhoun , Tok, Songha , Chan, Malen , Suttie, Annika , Phalla, Y , Rith, Sareth , Siegers, Jurre , San, Sorn , Davun, Holl , Tum, Sothyra , Ly, Sowath , Tarantola, Arnaud , Dussart, Philippe , Karlsson, Erik
- Date: 2023
- Type: Text , Journal article
- Relation: Zoonoses and Public Health Vol. 70, no. 2 (2023), p. 171-175
- Full Text:
- Reviewed:
- Description: Live bird markets (LBMs) have been identified as key factors in the spread, persistence and evolution of avian influenza viruses (AIVs). In addition, these settings have been associated with human infections with AIVs of pandemic concern. Exposure to aerosolised AIVs by workers in a Cambodian LBM was assessed using aerosol impact samplers. LBM vendors were asked to wear an air sampler for 30 min per day for 1 week while continuing their usual activities in the LBM during a period of high AIV circulation (February) and a period of low circulation (May). During the period of high circulation, AIV RNA was detected from 100% of the air samplers using molecular methods and viable AIV (A/H5N1 and/or A/H9N2) was isolated from 50% of air samplers following inoculation into embryonated chicken eggs. In contrast, AIV was not detected by molecular methods or successfully isolated during the period of low circulation. This study demonstrates the increased risk of aerosol exposure of LBM workers to AIVs during periods of high circulation and highlights the need for interventions during these high-risk periods. Novel approaches, such as environmental sampling, should be further explored at key high-risk interfaces as a potentially cost-effective alternative for monitoring pandemic threats. © 2022 The Authors. Zoonoses and Public Health published by Wiley-VCH GmbH.
Aerosol exposure of live bird market workers to viable influenza A/H5N1 and A/H9N2 viruses, Cambodia
- Authors: Horwood, Paul , Horm, Srey , Yann, Sokhoun , Tok, Songha , Chan, Malen , Suttie, Annika , Phalla, Y , Rith, Sareth , Siegers, Jurre , San, Sorn , Davun, Holl , Tum, Sothyra , Ly, Sowath , Tarantola, Arnaud , Dussart, Philippe , Karlsson, Erik
- Date: 2023
- Type: Text , Journal article
- Relation: Zoonoses and Public Health Vol. 70, no. 2 (2023), p. 171-175
- Full Text:
- Reviewed:
- Description: Live bird markets (LBMs) have been identified as key factors in the spread, persistence and evolution of avian influenza viruses (AIVs). In addition, these settings have been associated with human infections with AIVs of pandemic concern. Exposure to aerosolised AIVs by workers in a Cambodian LBM was assessed using aerosol impact samplers. LBM vendors were asked to wear an air sampler for 30 min per day for 1 week while continuing their usual activities in the LBM during a period of high AIV circulation (February) and a period of low circulation (May). During the period of high circulation, AIV RNA was detected from 100% of the air samplers using molecular methods and viable AIV (A/H5N1 and/or A/H9N2) was isolated from 50% of air samplers following inoculation into embryonated chicken eggs. In contrast, AIV was not detected by molecular methods or successfully isolated during the period of low circulation. This study demonstrates the increased risk of aerosol exposure of LBM workers to AIVs during periods of high circulation and highlights the need for interventions during these high-risk periods. Novel approaches, such as environmental sampling, should be further explored at key high-risk interfaces as a potentially cost-effective alternative for monitoring pandemic threats. © 2022 The Authors. Zoonoses and Public Health published by Wiley-VCH GmbH.
Agile ageing : implementation considerations for a walking basketball program
- Talpey, Scott, Pascoe, Deborah, Wallen, Mathew
- Authors: Talpey, Scott , Pascoe, Deborah , Wallen, Mathew
- Date: 2023
- Type: Text , Journal article
- Relation: Activities, Adaptation and Aging Vol. 47, no. 3 (2023), p. 301-314
- Full Text:
- Reviewed:
- Description: Physical activity generally declines with increasing age and lack of enjoyment is a noted barrier to older adults participating in traditional exercise programs. Walking basketball is a modified version of basketball designed to align with the physical capabilities of older adults, where participants are required to walk rather than run and body contact is not allowed. A walking basketball program provides participants with an opportunity to obtain the physical, mental and social health benefits of exercise in a competitive and social context. Due to the dynamic environment of a walking basketball program, participants are exposed to a unique stimulus combining both physical and cognitive demands, that is unmatched by traditional exercise programs. However, an increased risk of injury coincides with the unique demands of the activity. Therefore, the purpose of this manuscript is to provide practical applications for sporting organization that wish to implement a walking basketball program. © 2022 Taylor & Francis Group, LLC.
- Authors: Talpey, Scott , Pascoe, Deborah , Wallen, Mathew
- Date: 2023
- Type: Text , Journal article
- Relation: Activities, Adaptation and Aging Vol. 47, no. 3 (2023), p. 301-314
- Full Text:
- Reviewed:
- Description: Physical activity generally declines with increasing age and lack of enjoyment is a noted barrier to older adults participating in traditional exercise programs. Walking basketball is a modified version of basketball designed to align with the physical capabilities of older adults, where participants are required to walk rather than run and body contact is not allowed. A walking basketball program provides participants with an opportunity to obtain the physical, mental and social health benefits of exercise in a competitive and social context. Due to the dynamic environment of a walking basketball program, participants are exposed to a unique stimulus combining both physical and cognitive demands, that is unmatched by traditional exercise programs. However, an increased risk of injury coincides with the unique demands of the activity. Therefore, the purpose of this manuscript is to provide practical applications for sporting organization that wish to implement a walking basketball program. © 2022 Taylor & Francis Group, LLC.
AI apology : interactive multi-objective reinforcement learning for human-aligned AI
- Harland, Hadassah, Dazeley, Richard, Nakisa, Bahareh, Cruz, Francisco, Vamplew, Peter
- Authors: Harland, Hadassah , Dazeley, Richard , Nakisa, Bahareh , Cruz, Francisco , Vamplew, Peter
- Date: 2023
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 35, no. 23 (2023), p. 16917-16930
- Full Text:
- Reviewed:
- Description: For an Artificially Intelligent (AI) system to maintain alignment between human desires and its behaviour, it is important that the AI account for human preferences. This paper proposes and empirically evaluates the first approach to aligning agent behaviour to human preference via an apologetic framework. In practice, an apology may consist of an acknowledgement, an explanation and an intention for the improvement of future behaviour. We propose that such an apology, provided in response to recognition of undesirable behaviour, is one way in which an AI agent may both be transparent and trustworthy to a human user. Furthermore, that behavioural adaptation as part of apology is a viable approach to correct against undesirable behaviours. The Act-Assess-Apologise framework potentially could address both the practical and social needs of a human user, to recognise and make reparations against prior undesirable behaviour and adjust for the future. Applied to a dual-auxiliary impact minimisation problem, the apologetic agent had a near perfect determination and apology provision accuracy in several non-trivial configurations. The agent subsequently demonstrated behaviour alignment with success that included up to complete avoidance of the impacts described by these objectives in some scenarios. © 2023, The Author(s).
- Authors: Harland, Hadassah , Dazeley, Richard , Nakisa, Bahareh , Cruz, Francisco , Vamplew, Peter
- Date: 2023
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 35, no. 23 (2023), p. 16917-16930
- Full Text:
- Reviewed:
- Description: For an Artificially Intelligent (AI) system to maintain alignment between human desires and its behaviour, it is important that the AI account for human preferences. This paper proposes and empirically evaluates the first approach to aligning agent behaviour to human preference via an apologetic framework. In practice, an apology may consist of an acknowledgement, an explanation and an intention for the improvement of future behaviour. We propose that such an apology, provided in response to recognition of undesirable behaviour, is one way in which an AI agent may both be transparent and trustworthy to a human user. Furthermore, that behavioural adaptation as part of apology is a viable approach to correct against undesirable behaviours. The Act-Assess-Apologise framework potentially could address both the practical and social needs of a human user, to recognise and make reparations against prior undesirable behaviour and adjust for the future. Applied to a dual-auxiliary impact minimisation problem, the apologetic agent had a near perfect determination and apology provision accuracy in several non-trivial configurations. The agent subsequently demonstrated behaviour alignment with success that included up to complete avoidance of the impacts described by these objectives in some scenarios. © 2023, The Author(s).
An agriprecision decision support system for weed management in pastures
- Chegini, Hossein, Naha, Ranesh, Mahanti, Aniket, Gong, Mingwei, Passi, Kalpdrum
- Authors: Chegini, Hossein , Naha, Ranesh , Mahanti, Aniket , Gong, Mingwei , Passi, Kalpdrum
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 92660-92675
- Full Text:
- Reviewed:
- Description: Pastures are a vital source of dairy products and cattle nutrition, and as such, play a significant role in New Zealand's agricultural economy. However, weeds can be a major problem for pastures, making it a challenge for dairy farmers to monitor and control them. Currently, most of the tasks for weed management are done manually, and farmers lack persistent technology for weed control. This motivated us to design, implement, and evaluate a Decision Support System (DSS) to detect weeds in pastures and provide decisions for the cleanup of weeds. Our proposed system uses two primary inputs: weeds and bare patches. We created a synthetic dataset to train a weed detection model and designed a fuzzy inference system to assess a pasture. We also used a neuro-fuzzy system in our DSS to evaluate our fuzzy model and tune its parameters for better functioning and accuracy. Our work aims to assist dairy farmers in better weed monitoring, as well as to provide 2D maps of weed density and yield score, which can be of significant value when no digital and meaningful images of pastures exist. The system can also support farmers in scheduling, recommending prohibitive tasks, and storing historical data for pasture analysis, collaborated by stakeholders. © 2013 IEEE.
- Authors: Chegini, Hossein , Naha, Ranesh , Mahanti, Aniket , Gong, Mingwei , Passi, Kalpdrum
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Access Vol. 11, no. (2023), p. 92660-92675
- Full Text:
- Reviewed:
- Description: Pastures are a vital source of dairy products and cattle nutrition, and as such, play a significant role in New Zealand's agricultural economy. However, weeds can be a major problem for pastures, making it a challenge for dairy farmers to monitor and control them. Currently, most of the tasks for weed management are done manually, and farmers lack persistent technology for weed control. This motivated us to design, implement, and evaluate a Decision Support System (DSS) to detect weeds in pastures and provide decisions for the cleanup of weeds. Our proposed system uses two primary inputs: weeds and bare patches. We created a synthetic dataset to train a weed detection model and designed a fuzzy inference system to assess a pasture. We also used a neuro-fuzzy system in our DSS to evaluate our fuzzy model and tune its parameters for better functioning and accuracy. Our work aims to assist dairy farmers in better weed monitoring, as well as to provide 2D maps of weed density and yield score, which can be of significant value when no digital and meaningful images of pastures exist. The system can also support farmers in scheduling, recommending prohibitive tasks, and storing historical data for pasture analysis, collaborated by stakeholders. © 2013 IEEE.
An effective solution to the optimal power flow problem using meta-heuristic algorithms
- Aurangzeb, Khursheed, Shafiq, Sundas, Alhussein, Musaed, Pamir, Javaid, Nadeem, Imran, Muhammad
- Authors: Aurangzeb, Khursheed , Shafiq, Sundas , Alhussein, Musaed , Pamir , Javaid, Nadeem , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Energy Research Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Financial loss in power systems is an emerging problem that needs to be resolved. To tackle the mentioned problem, energy generated from various generation sources in the power network needs proper scheduling. In order to determine the best settings for the control variables, this study formulates and solves an optimal power flow (OPF) problem. In the proposed work, the bird swarm algorithm (BSA), JAYA, and a hybrid of both algorithms, termed as HJBSA, are used for obtaining the settings of optimum variables. We perform simulations by considering the constraints of voltage stability and line capacity, and generated reactive and active power. In addition, the used algorithms solve the problem of OPF and minimize carbon emission generated from thermal systems, fuel cost, voltage deviations, and losses in generation of active power. The suggested approach is evaluated by putting it into use on two separate IEEE testing systems, one with 30 buses and the other with 57 buses. The simulation results show that for the 30-bus system, the minimization in cost by HJBSA, JAYA, and BSA is 860.54 $/h, 862.31, $/h and 900.01 $/h, respectively, while for the 57-bus system, it is 5506.9 $/h, 6237.4, $/h and 7245.6 $/h for HJBSA, JAYA, and BSA, respectively. Similarly, for the 30-bus system, the power loss by HJBSA, JAYA, and BSA is 9.542 MW, 10.102 MW, and 11.427 MW, respectively, while for the 57-bus system, the value of power loss is 13.473 MW, 20.552, MW and 18.638 MW for HJBSA, JAYA, and BSA, respectively. Moreover, HJBSA, JAYA, and BSA cause reduction in carbon emissions by 4.394 ton/h, 4.524, ton/h and 4.401 ton/h, respectively, with the 30-bus system. With the 57-bus system, HJBSA, JAYA, and BSA cause reduction in carbon emissions by 26.429 ton/h, 27.014, ton/h and 28.568 ton/h, respectively. The results show the outperformance of HJBSA. Copyright © 2023 Aurangzeb, Shafiq, Alhussein, Pamir, Javaid and Imran.
- Authors: Aurangzeb, Khursheed , Shafiq, Sundas , Alhussein, Musaed , Pamir , Javaid, Nadeem , Imran, Muhammad
- Date: 2023
- Type: Text , Journal article
- Relation: Frontiers in Energy Research Vol. 11, no. (2023), p.
- Full Text:
- Reviewed:
- Description: Financial loss in power systems is an emerging problem that needs to be resolved. To tackle the mentioned problem, energy generated from various generation sources in the power network needs proper scheduling. In order to determine the best settings for the control variables, this study formulates and solves an optimal power flow (OPF) problem. In the proposed work, the bird swarm algorithm (BSA), JAYA, and a hybrid of both algorithms, termed as HJBSA, are used for obtaining the settings of optimum variables. We perform simulations by considering the constraints of voltage stability and line capacity, and generated reactive and active power. In addition, the used algorithms solve the problem of OPF and minimize carbon emission generated from thermal systems, fuel cost, voltage deviations, and losses in generation of active power. The suggested approach is evaluated by putting it into use on two separate IEEE testing systems, one with 30 buses and the other with 57 buses. The simulation results show that for the 30-bus system, the minimization in cost by HJBSA, JAYA, and BSA is 860.54 $/h, 862.31, $/h and 900.01 $/h, respectively, while for the 57-bus system, it is 5506.9 $/h, 6237.4, $/h and 7245.6 $/h for HJBSA, JAYA, and BSA, respectively. Similarly, for the 30-bus system, the power loss by HJBSA, JAYA, and BSA is 9.542 MW, 10.102 MW, and 11.427 MW, respectively, while for the 57-bus system, the value of power loss is 13.473 MW, 20.552, MW and 18.638 MW for HJBSA, JAYA, and BSA, respectively. Moreover, HJBSA, JAYA, and BSA cause reduction in carbon emissions by 4.394 ton/h, 4.524, ton/h and 4.401 ton/h, respectively, with the 30-bus system. With the 57-bus system, HJBSA, JAYA, and BSA cause reduction in carbon emissions by 26.429 ton/h, 27.014, ton/h and 28.568 ton/h, respectively. The results show the outperformance of HJBSA. Copyright © 2023 Aurangzeb, Shafiq, Alhussein, Pamir, Javaid and Imran.
An efficient framework for mining outlying aspects
- Authors: Samariya, Durgesh
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: In the era of big data, an immense volume of information is being continuously generated. It is common to encounter errors or anomalies within datasets. These anomalies can arise due to system malfunctions or human errors, resulting in data points that deviate from expected patterns or values. Anomaly detection algorithms have been developed to identify such anomalies effectively from the data. However, these algorithms often fall short in providing insights into why a particular data point is considered as an anomaly. They cannot explain the specific feature subset(s) in which a,data point significantly differs from the majority of the data. To address this limitation, researchers have recently turned their attention,to a new research area called outlying aspect mining. This area focuses on discovering feature subset(s), known as aspects or subspaces, in which anomalous data points exhibit significant deviations from the remaining set of data. Outlying aspect mining algorithms aim to provide a more detailed,understanding of the characteristics that make a data point anomalous. Although outlying aspect mining is an emerging area of research only a few studies have been published so far. One of the key challenges in this field is scaling up these algorithms to handle large datasets, characterised by,either a large data size or high dimensionality. Many existing outlying aspect mining algorithms are not well-suited for such datasets, as they exhaustively enumerate all possible subspaces and utilise density or distance-based anomaly scores to rank subspaces. As a result, most of these algorithms struggle to handle datasets with dimensions exceeding 20. Addressing the scalability issue and developing efficient algorithms for outlying aspect mining in large datasets remain active area of research. The ability to identify and understand the specific feature subsets contributing to anomalies in big data holds great potential for various applications, including fraud detection, network intrusion detection, and anomaly-based decision support systems. Existing outlying aspect mining methods are suffering from three main problems. Firstly, these measures often rely on distance or density-based calculations, which can be biased toward high-dimensional spaces. As the dimensionality of the subspace increases, the density tends to decrease, making it difficult to assess the outlyingness of data points within specific subspaces accurately. Secondly, distances or density-based measures are computationally expensive, especially when dealing with large-scale datasets that contain millions of data points. As distance and density-based measures require computing pairwise distance, it makes them computationally expensive. In addition to that, existing work uses Z-Score normalisation to make density-based scoring measure dimensionally unbias. However, it adds additional computational overload on already computationally expensive measures. Lastly, existing outlying aspect mining uses brute-force methods to search subspaces. Thus, it is essential to tackle this efficiency issue because when the dimensionality of the data is high – candidate subspace grows exponentially, which is beyond computational resources. This research project aims to solve this challenge by developing efficient and effective methods for mining outlying aspects in high-dimensional and large datasets. I have explored and designed different scoring measures to find the outlyingness of a given data point in each subspace. The effectiveness and efficiency of these proposed measures have been verified with extensive experiments on synthetic and real-world datasets. To overcome the first problem, this thesis first identifies and analyses the condition under which Z-Score based normalisation scoring measure fails to find the most outlying aspects and proposes two different approaches called HMass and sGrid++, both measures are dimensionally unbiased in their raw form, which means they do not require any additional normalisation. sGrid++ is a simpler version of sGrid that is not only efficient and effective but also dimensionality unbiased. It does not require Z-score normalisation. HMass is a simple but effective and efficient histogram-based solution to rank outlying aspects of a given query in each subspace. In addition to detecting anomalies, HMass provides explanations on why the points are anomalous. Both sGrid++ and HMass do not require pair-wise calculation like distance or density-based measures; therefore, sGrid++ and HMass are computationally faster than distance and density-based measures, which solves the second issue of existing work. The effectiveness and efficiency of both sGrid++ and HMass are evaluated using synthetic and real-world datasets. In addition to that, I presented an exciting application of outlying aspect mining in the cybersecurity domain. To tackle the third problem, this thesis proposes an efficient and effective outlying aspect mining framework named OIMiner (for Outlying - Inlying Aspect Miner). It introduces a new scoring measure to compute outlying degree, called Simple Isolation score using Nearest Neighbor Ensemble (SiNNE), which not only detects the outliers but also provides an explanation on why the selected point is an outlier. SiNNE is a dimensionally unbias measure in its raw form, which means the scores produced by SiNNE are compared directly with subspaces having different dimensions. Thus, it does not require any normalisation to make the score unbiased. Our experimental results on synthetic and publicly available real-world datasets revealed that (i) SiNNE produces better or at least the same results as existing scores. (ii) It improves the run time of the existing outlying aspect mining algorithm based on beam search by at least two orders of magnitude. SiNNE allows the existing outlying aspect mining algorithm to run in datasets with hundreds of thousands of instances and thousands of dimensions, which was not possible before.
- Description: Doctor of Philosophy
- Authors: Samariya, Durgesh
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: In the era of big data, an immense volume of information is being continuously generated. It is common to encounter errors or anomalies within datasets. These anomalies can arise due to system malfunctions or human errors, resulting in data points that deviate from expected patterns or values. Anomaly detection algorithms have been developed to identify such anomalies effectively from the data. However, these algorithms often fall short in providing insights into why a particular data point is considered as an anomaly. They cannot explain the specific feature subset(s) in which a,data point significantly differs from the majority of the data. To address this limitation, researchers have recently turned their attention,to a new research area called outlying aspect mining. This area focuses on discovering feature subset(s), known as aspects or subspaces, in which anomalous data points exhibit significant deviations from the remaining set of data. Outlying aspect mining algorithms aim to provide a more detailed,understanding of the characteristics that make a data point anomalous. Although outlying aspect mining is an emerging area of research only a few studies have been published so far. One of the key challenges in this field is scaling up these algorithms to handle large datasets, characterised by,either a large data size or high dimensionality. Many existing outlying aspect mining algorithms are not well-suited for such datasets, as they exhaustively enumerate all possible subspaces and utilise density or distance-based anomaly scores to rank subspaces. As a result, most of these algorithms struggle to handle datasets with dimensions exceeding 20. Addressing the scalability issue and developing efficient algorithms for outlying aspect mining in large datasets remain active area of research. The ability to identify and understand the specific feature subsets contributing to anomalies in big data holds great potential for various applications, including fraud detection, network intrusion detection, and anomaly-based decision support systems. Existing outlying aspect mining methods are suffering from three main problems. Firstly, these measures often rely on distance or density-based calculations, which can be biased toward high-dimensional spaces. As the dimensionality of the subspace increases, the density tends to decrease, making it difficult to assess the outlyingness of data points within specific subspaces accurately. Secondly, distances or density-based measures are computationally expensive, especially when dealing with large-scale datasets that contain millions of data points. As distance and density-based measures require computing pairwise distance, it makes them computationally expensive. In addition to that, existing work uses Z-Score normalisation to make density-based scoring measure dimensionally unbias. However, it adds additional computational overload on already computationally expensive measures. Lastly, existing outlying aspect mining uses brute-force methods to search subspaces. Thus, it is essential to tackle this efficiency issue because when the dimensionality of the data is high – candidate subspace grows exponentially, which is beyond computational resources. This research project aims to solve this challenge by developing efficient and effective methods for mining outlying aspects in high-dimensional and large datasets. I have explored and designed different scoring measures to find the outlyingness of a given data point in each subspace. The effectiveness and efficiency of these proposed measures have been verified with extensive experiments on synthetic and real-world datasets. To overcome the first problem, this thesis first identifies and analyses the condition under which Z-Score based normalisation scoring measure fails to find the most outlying aspects and proposes two different approaches called HMass and sGrid++, both measures are dimensionally unbiased in their raw form, which means they do not require any additional normalisation. sGrid++ is a simpler version of sGrid that is not only efficient and effective but also dimensionality unbiased. It does not require Z-score normalisation. HMass is a simple but effective and efficient histogram-based solution to rank outlying aspects of a given query in each subspace. In addition to detecting anomalies, HMass provides explanations on why the points are anomalous. Both sGrid++ and HMass do not require pair-wise calculation like distance or density-based measures; therefore, sGrid++ and HMass are computationally faster than distance and density-based measures, which solves the second issue of existing work. The effectiveness and efficiency of both sGrid++ and HMass are evaluated using synthetic and real-world datasets. In addition to that, I presented an exciting application of outlying aspect mining in the cybersecurity domain. To tackle the third problem, this thesis proposes an efficient and effective outlying aspect mining framework named OIMiner (for Outlying - Inlying Aspect Miner). It introduces a new scoring measure to compute outlying degree, called Simple Isolation score using Nearest Neighbor Ensemble (SiNNE), which not only detects the outliers but also provides an explanation on why the selected point is an outlier. SiNNE is a dimensionally unbias measure in its raw form, which means the scores produced by SiNNE are compared directly with subspaces having different dimensions. Thus, it does not require any normalisation to make the score unbiased. Our experimental results on synthetic and publicly available real-world datasets revealed that (i) SiNNE produces better or at least the same results as existing scores. (ii) It improves the run time of the existing outlying aspect mining algorithm based on beam search by at least two orders of magnitude. SiNNE allows the existing outlying aspect mining algorithm to run in datasets with hundreds of thousands of instances and thousands of dimensions, which was not possible before.
- Description: Doctor of Philosophy
An empirical study into the use of 7 quality control tools in Higher Education Institutions (HEIs)
- Mathur, Swati, Antony, Jiju, Olivia, McDermott, Fabiane Letícia, Lizarelli, Shreeranga, Bhat, Raja, Jayaraman, Ayon, Chakraborty
- Authors: Mathur, Swati , Antony, Jiju , Olivia, McDermott , Fabiane Letícia, Lizarelli , Shreeranga, Bhat , Raja, Jayaraman , Ayon, Chakraborty
- Date: 2023
- Type: Text , Journal article
- Relation: TQM Journal Vol. 35, no. 7 (2023), p. 1777-1798
- Full Text:
- Reviewed:
- Description: Purpose: The main purpose of this study is to revisit Ishikawa's statement: “95% of problems in processes can be accomplished using the original 7 Quality Control (QC) tools”. The paper critically investigates the validity of this statement in higher education institutions (HEIs). It involves analysis of the usage of the 7 QC tools and identifying the barriers, benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in a HEI setting. Design/methodology/approach: An online survey instrument was developed, and as this is a global study, survey participants were contacted via social networks such as LinkedIn. Target respondents were HEIs educators or professionals who are knowledgeable about the 7 QC tools promulgated by Dr Ishikawa. Professionals who work in administrative sectors, such as libraries, information technology and human resources were included in the study. A number of academics who teach the 7 basic tools of QC were also included in the study. The survey link was sent to over 200 educators and professionals and 76 complete responses were obtained. Findings: The primary finding of this study shows that the diffusion of seven QC tools is not widespread in the context of HEIs. Less than 8% of the respondents believe that more than 90% of process problems can be solved by applying the 7 QC tools. These numbers show that modern-quality problems may need more than the 7 basic QC basic tools and there may be a need to revisit the role and contribution of these tools to solve problems in the higher education sector. Tools such as Pareto chart and cause and effect diagram have been widely used in the context of HEIs. The most important barriers highlighted are related to the lack of knowledge about the benefits and about how and when to apply these tools. Among the challenges are the “lack of knowledge of the tools and their applications” and “lack of training in the use of the tools”. The main benefits mentioned by the respondents were “the identification of areas for improvement, problem definition, measurement, and analysis”. According to this study, the most important factors critical for the success of the initiative were “management support”, “widespread training” and “having a continuous improvement program in place”. Research limitations/implications: The exploratory study provides an initial understanding about the 7 QC tools application in HEIs, and their benefits, challenges and critical success factors, which can act as guidelines for implementation in HEIs. Surveys alone cannot provide deeper insights into the status of the application of 7 QC tools in HEIs, and therefore qualitative studies in the form of semi-structured interviews should be carried out in the future. Originality/value: This article contributes with an exploratory empirical study on the extent of the use of 7 QC tools in the university processes. The authors claim that this is the first empirical study looking into the use of the 7 QC tools in the university sector. © 2022, Emerald Publishing Limited.
- Authors: Mathur, Swati , Antony, Jiju , Olivia, McDermott , Fabiane Letícia, Lizarelli , Shreeranga, Bhat , Raja, Jayaraman , Ayon, Chakraborty
- Date: 2023
- Type: Text , Journal article
- Relation: TQM Journal Vol. 35, no. 7 (2023), p. 1777-1798
- Full Text:
- Reviewed:
- Description: Purpose: The main purpose of this study is to revisit Ishikawa's statement: “95% of problems in processes can be accomplished using the original 7 Quality Control (QC) tools”. The paper critically investigates the validity of this statement in higher education institutions (HEIs). It involves analysis of the usage of the 7 QC tools and identifying the barriers, benefits, challenges and critical success factors (CSFs) for the application of the 7 QC tools in a HEI setting. Design/methodology/approach: An online survey instrument was developed, and as this is a global study, survey participants were contacted via social networks such as LinkedIn. Target respondents were HEIs educators or professionals who are knowledgeable about the 7 QC tools promulgated by Dr Ishikawa. Professionals who work in administrative sectors, such as libraries, information technology and human resources were included in the study. A number of academics who teach the 7 basic tools of QC were also included in the study. The survey link was sent to over 200 educators and professionals and 76 complete responses were obtained. Findings: The primary finding of this study shows that the diffusion of seven QC tools is not widespread in the context of HEIs. Less than 8% of the respondents believe that more than 90% of process problems can be solved by applying the 7 QC tools. These numbers show that modern-quality problems may need more than the 7 basic QC basic tools and there may be a need to revisit the role and contribution of these tools to solve problems in the higher education sector. Tools such as Pareto chart and cause and effect diagram have been widely used in the context of HEIs. The most important barriers highlighted are related to the lack of knowledge about the benefits and about how and when to apply these tools. Among the challenges are the “lack of knowledge of the tools and their applications” and “lack of training in the use of the tools”. The main benefits mentioned by the respondents were “the identification of areas for improvement, problem definition, measurement, and analysis”. According to this study, the most important factors critical for the success of the initiative were “management support”, “widespread training” and “having a continuous improvement program in place”. Research limitations/implications: The exploratory study provides an initial understanding about the 7 QC tools application in HEIs, and their benefits, challenges and critical success factors, which can act as guidelines for implementation in HEIs. Surveys alone cannot provide deeper insights into the status of the application of 7 QC tools in HEIs, and therefore qualitative studies in the form of semi-structured interviews should be carried out in the future. Originality/value: This article contributes with an exploratory empirical study on the extent of the use of 7 QC tools in the university processes. The authors claim that this is the first empirical study looking into the use of the 7 QC tools in the university sector. © 2022, Emerald Publishing Limited.
An evaluation of low and high intensity digital mental health treatment models for anxiety and depression : an adaptive treatment randomized clinical trial
- Authors: Andrews, Brooke
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Doctor of Philsophy
- Authors: Andrews, Brooke
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: Doctor of Philsophy
An evidence theoretic approach for traffic signal intrusion detection
- Chowdhury, Abdullahi, Karmakar, Gour, Kamruzzaman, Joarder, Das, Rajkumar, Newaz, Shah
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Das, Rajkumar , Newaz, Shah
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 10 (2023), p. 4646
- Full Text:
- Reviewed:
- Description: The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to detect intrusion from attacks on in-road sensors, traffic controllers, and signals. In this paper, we proposed an IDS based on detecting anomalies associated with flow rate, phase time, and vehicle speed, which is a significant extension of our previous work using additional traffic parameters and statistical tools. We theoretically modelled our system using the Dempster-Shafer decision theory, considering the instantaneous observations of traffic parameters and their relevant historical normal traffic data. We also used Shannon's entropy to determine the uncertainty associated with the observations. To validate our work, we developed a simulation model based on the traffic simulator called SUMO using many real scenarios and the data recorded by the Victorian Transportation Authority, Australia. The scenarios for abnormal traffic conditions were generated considering attacks such as jamming, Sybil, and false data injection attacks. The results show that the overall detection accuracy of our proposed system is 79.3% with fewer false alarms.
- Authors: Chowdhury, Abdullahi , Karmakar, Gour , Kamruzzaman, Joarder , Das, Rajkumar , Newaz, Shah
- Date: 2023
- Type: Text , Journal article
- Relation: Sensors Vol. 23, no. 10 (2023), p. 4646
- Full Text:
- Reviewed:
- Description: The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. The existing traffic signal Intrusion Detection Systems (IDSs) that rely on inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to detect intrusion from attacks on in-road sensors, traffic controllers, and signals. In this paper, we proposed an IDS based on detecting anomalies associated with flow rate, phase time, and vehicle speed, which is a significant extension of our previous work using additional traffic parameters and statistical tools. We theoretically modelled our system using the Dempster-Shafer decision theory, considering the instantaneous observations of traffic parameters and their relevant historical normal traffic data. We also used Shannon's entropy to determine the uncertainty associated with the observations. To validate our work, we developed a simulation model based on the traffic simulator called SUMO using many real scenarios and the data recorded by the Victorian Transportation Authority, Australia. The scenarios for abnormal traffic conditions were generated considering attacks such as jamming, Sybil, and false data injection attacks. The results show that the overall detection accuracy of our proposed system is 79.3% with fewer false alarms.