COVID-19 effects on public finance and SDG priorities in developing countries : comparative evidence from Bangladesh and Sri Lanka
- Colombage, Sisira, Barua, Suborna, Nanayakkara, Madurika, Colombage, Udari
- Authors: Colombage, Sisira , Barua, Suborna , Nanayakkara, Madurika , Colombage, Udari
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Development Research Vol. 35, no. 1 (2023), p. 85-111
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- Description: The COVID-19 pandemic, an unprecedented global health crisis, rapidly transferred into a global economic and social crisis. The pandemic has threatened the world’s commitment to achieve Sustainable Development Goals (SDGs) by 2030 as governments in developing countries have shifted their priorities from attaining SDGs, to providing urgent financial needs to save lives and prevent recession in hopes for a rapid economic recovery. The rerouting of public funding priorities has undermined the progress and achievement of SDGs. We employed a mixed-method and carried out a comparative study using pre- and post-public financial data of two developing countries in South Asia; Bangladesh and Sri Lanka. A threefold analysis was conducted to investigate the evolution of the COVID-19 pandemic in two countries, the impact of the pandemic on external and internal public finance and the effect of the pandemic in shifting the policy priorities from SDGs to economic survival. This study found that both countries are highly vulnerable to the COVID-19 pandemic and are suffering from the lack of financing from external sources through the private sector as well as an increasing foreign debt. There is mounting pressure on the fiscal balance in both countries. © 2022, The Author(s).
- Authors: Colombage, Sisira , Barua, Suborna , Nanayakkara, Madurika , Colombage, Udari
- Date: 2023
- Type: Text , Journal article
- Relation: European Journal of Development Research Vol. 35, no. 1 (2023), p. 85-111
- Full Text:
- Reviewed:
- Description: The COVID-19 pandemic, an unprecedented global health crisis, rapidly transferred into a global economic and social crisis. The pandemic has threatened the world’s commitment to achieve Sustainable Development Goals (SDGs) by 2030 as governments in developing countries have shifted their priorities from attaining SDGs, to providing urgent financial needs to save lives and prevent recession in hopes for a rapid economic recovery. The rerouting of public funding priorities has undermined the progress and achievement of SDGs. We employed a mixed-method and carried out a comparative study using pre- and post-public financial data of two developing countries in South Asia; Bangladesh and Sri Lanka. A threefold analysis was conducted to investigate the evolution of the COVID-19 pandemic in two countries, the impact of the pandemic on external and internal public finance and the effect of the pandemic in shifting the policy priorities from SDGs to economic survival. This study found that both countries are highly vulnerable to the COVID-19 pandemic and are suffering from the lack of financing from external sources through the private sector as well as an increasing foreign debt. There is mounting pressure on the fiscal balance in both countries. © 2022, The Author(s).
Factors that promote a positive childbearing experience : a qualitative study
- Hall, Helen, Fooladi, Ensieh, Kloester, Joy, Ulnang, Arijanti, Sinni, Suzanne, White, Colleen, McLaren, Meredith, Yeganeh, Ladan
- Authors: Hall, Helen , Fooladi, Ensieh , Kloester, Joy , Ulnang, Arijanti , Sinni, Suzanne , White, Colleen , McLaren, Meredith , Yeganeh, Ladan
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Midwifery and Women's Health Vol. 68, no. 1 (2023), p. 44-51
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- Reviewed:
- Description: Introduction: Experiences of pregnancy and birth are important and have long-term impacts on the well-being of women and their families. Perinatal services should aim for care that promotes a positive childbearing experience, as well as optimizing health outcomes for the woman and newborn. This study aimed to understand the health system factors that promote a positive childbearing experience. Methods: Women who had a positive experience and had given birth in Australia in the previous 12 months were recruited for individual semistructured interviews. The interview guide focused on health system factors that participants credited with contributing to their positive experience of perinatal care. Interviews were conducted until data saturation was reached. Qualitative data were transcribed verbatim and analyzed using inductive thematic analysis. Results: Data from 36 interviews were thematically analyzed, and 4 major themes were generated: health care provider attributes, health system attributes, communication and decision-making, and experience of care. The salient factors that promoted positive experiences included care that was respectful and individualized with effective communication, access to midwifery continuity of care models, and good integration between services. Competent and professional health care providers who facilitated shared decision-making were also essential. Discussion: Although women often sought out care that promoted physiologic birth, they emphasized that the way they were cared for was more important than fulfilling specific birth aspirations. Quality maternity care has the capacity to support a woman's confidence in her own abilities and promote a positive, and sometimes transformative, childbearing experience. © 2022 The Authors. Journal of Midwifery & Women's Health published by Wiley Periodicals LLC on behalf of American College of Nurse Midwives (ACNM).
- Authors: Hall, Helen , Fooladi, Ensieh , Kloester, Joy , Ulnang, Arijanti , Sinni, Suzanne , White, Colleen , McLaren, Meredith , Yeganeh, Ladan
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Midwifery and Women's Health Vol. 68, no. 1 (2023), p. 44-51
- Full Text:
- Reviewed:
- Description: Introduction: Experiences of pregnancy and birth are important and have long-term impacts on the well-being of women and their families. Perinatal services should aim for care that promotes a positive childbearing experience, as well as optimizing health outcomes for the woman and newborn. This study aimed to understand the health system factors that promote a positive childbearing experience. Methods: Women who had a positive experience and had given birth in Australia in the previous 12 months were recruited for individual semistructured interviews. The interview guide focused on health system factors that participants credited with contributing to their positive experience of perinatal care. Interviews were conducted until data saturation was reached. Qualitative data were transcribed verbatim and analyzed using inductive thematic analysis. Results: Data from 36 interviews were thematically analyzed, and 4 major themes were generated: health care provider attributes, health system attributes, communication and decision-making, and experience of care. The salient factors that promoted positive experiences included care that was respectful and individualized with effective communication, access to midwifery continuity of care models, and good integration between services. Competent and professional health care providers who facilitated shared decision-making were also essential. Discussion: Although women often sought out care that promoted physiologic birth, they emphasized that the way they were cared for was more important than fulfilling specific birth aspirations. Quality maternity care has the capacity to support a woman's confidence in her own abilities and promote a positive, and sometimes transformative, childbearing experience. © 2022 The Authors. Journal of Midwifery & Women's Health published by Wiley Periodicals LLC on behalf of American College of Nurse Midwives (ACNM).
Lost at starting line : predicting maladaptation of university freshmen based on educational big data
- Guo, Teng, Bai, Xiaomei, Zhen, Shihao, Abid, Shagufta, Xia, Feng
- Authors: Guo, Teng , Bai, Xiaomei , Zhen, Shihao , Abid, Shagufta , Xia, Feng
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of the Association for Information Science and Technology Vol. 74, no. 1 (2023), p. 17-32
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- Reviewed:
- Description: The transition from secondary education to higher education could be challenging for most freshmen. For students who fail to adjust to university life smoothly, their status may worsen if the university cannot offer timely and proper guidance. Helping students adapt to university life is a long-term goal for any academic institution. Therefore, understanding the nature of the maladaptation phenomenon and the early prediction of “at-risk” students are crucial tasks that urgently need to be tackled effectively. This article aims to analyze the relevant factors that affect the maladaptation phenomenon and predict this phenomenon in advance. We develop a prediction framework (MAladaptive STudEnt pRediction, MASTER) for the early prediction of students with maladaptation. First, our framework uses the SMOTE (Synthetic Minority Oversampling Technique) algorithm to solve the data label imbalance issue. Moreover, a novel ensemble algorithm, priority forest, is proposed for outputting ranks instead of binary results, which enables us to perform proactive interventions in a prioritized manner where limited education resources are available. Experimental results on real-world education datasets demonstrate that the MASTER framework outperforms other state-of-art methods. © 2022 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals LLC on behalf of Association for Information Science and Technology.
- Authors: Guo, Teng , Bai, Xiaomei , Zhen, Shihao , Abid, Shagufta , Xia, Feng
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of the Association for Information Science and Technology Vol. 74, no. 1 (2023), p. 17-32
- Full Text:
- Reviewed:
- Description: The transition from secondary education to higher education could be challenging for most freshmen. For students who fail to adjust to university life smoothly, their status may worsen if the university cannot offer timely and proper guidance. Helping students adapt to university life is a long-term goal for any academic institution. Therefore, understanding the nature of the maladaptation phenomenon and the early prediction of “at-risk” students are crucial tasks that urgently need to be tackled effectively. This article aims to analyze the relevant factors that affect the maladaptation phenomenon and predict this phenomenon in advance. We develop a prediction framework (MAladaptive STudEnt pRediction, MASTER) for the early prediction of students with maladaptation. First, our framework uses the SMOTE (Synthetic Minority Oversampling Technique) algorithm to solve the data label imbalance issue. Moreover, a novel ensemble algorithm, priority forest, is proposed for outputting ranks instead of binary results, which enables us to perform proactive interventions in a prioritized manner where limited education resources are available. Experimental results on real-world education datasets demonstrate that the MASTER framework outperforms other state-of-art methods. © 2022 The Authors. Journal of the Association for Information Science and Technology published by Wiley Periodicals LLC on behalf of Association for Information Science and Technology.
Optimising water quality outcomes for complex water resource systems and water grids
- Authors: Dey, Sayani
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: As the world progresses, water resources are likely to be subjected to much greater pressures than in the past. Even though the principal water problem revolves around inadequate and uncertain water supplies, water quality management plays an equally important role. Availability of good quality water is paramount to sustainability of human population as well as the environment. Achieving water quality and quantity objectives can be conflicting and becomes more complicated with challenges like, climate change, growing populations and changed land uses. Managing adequate water quality in a reservoir gets complicated by multiple inflows with different water quality levels often resulting in poor water quality. Hence, it is fundamental to approach this issue in a more systematic, comprehensive, and coordinated fashion. Most previous studies related to water resources management focused on water quantity and considered water quality separately. However, this research study focused on considering water quantity and quality objectives simultaneously in a single model to explore and understand the relationship between them in a reservoir system. A case study area was identified in Western Victoria, Australia with water quantity and quality challenges. Taylors Lake of Grampians System in Victoria, Australia receives water from multiple sources of differing quality and quantity and has the abovesaid problems. A combined simulation and optimisation approach was adopted to carry out the analysis. A multi-objective optimisation approach was applied to achieve optimal water availability and quality in the storage. The multi-objective optimisation model included three objective functions which were: water volume and two water quality parameters: salinity and turbidity. Results showed competing nature of water quantity and quality objectives and established the trade-offs. It further showed that it was possible to generate a range of optimal solutions to effectively manage those trade-offs. The trade-off analysis explored and informed that selective harvesting of inflows is effective to improve water quality in storage. However, with strict water quality restriction there is a considerable loss in water volume. The robustness of the optimisation approach used in this study was confirmed through sensitivity and uncertainty analysis. The research work also incorporated various spatio-temporal scenario analyses to systematically articulate long-term and short-term operational planning strategies. Operational decisions around possible harvesting regimes while achieving optimal water quantity and quality and meeting all water demands were established. The climate change analysis revealed that optimal management of water quantity and quality in storage became extremely challenging under future climate projections. The high reduction in storage volume in the future will lead to several challenges such as water supply shortfall and inability to undertake selective harvesting due to reduced water quality levels. In this context, selective harvesting of inflows based on water quality will no longer be an option to manage water quantity and quality optimally in storage. Some significant conclusions of this research work included the establishment of trade-offs between water quality and quantity objectives particular to this configuration of water supply system. The work demonstrated that selective harvesting of inflows will improve the stored water quality, and this finding along with the approach used is a significant contribution to decision makers working within the water sector. The simulation-optimisation approach is very effective in providing a range of optimal solutions, which can be used to make more informed decisions around achieving optimal water quality and quantity in storage. It was further demonstrated that there are range of planning periods, both long-term (>10 years) and short-term (<1 year), all of which offer distinct advantages and provides useful insights, making this an additional key contribution of the work. Importantly, climate change was also considered where it was found that diminishing water resources, particularly to this geographic location, makes it increasingly difficult to optimise both quality and quantity in storage providing further useful insights from this work.
- Description: Doctor of Philosophy
- Authors: Dey, Sayani
- Date: 2023
- Type: Text , Thesis , PhD
- Full Text:
- Description: As the world progresses, water resources are likely to be subjected to much greater pressures than in the past. Even though the principal water problem revolves around inadequate and uncertain water supplies, water quality management plays an equally important role. Availability of good quality water is paramount to sustainability of human population as well as the environment. Achieving water quality and quantity objectives can be conflicting and becomes more complicated with challenges like, climate change, growing populations and changed land uses. Managing adequate water quality in a reservoir gets complicated by multiple inflows with different water quality levels often resulting in poor water quality. Hence, it is fundamental to approach this issue in a more systematic, comprehensive, and coordinated fashion. Most previous studies related to water resources management focused on water quantity and considered water quality separately. However, this research study focused on considering water quantity and quality objectives simultaneously in a single model to explore and understand the relationship between them in a reservoir system. A case study area was identified in Western Victoria, Australia with water quantity and quality challenges. Taylors Lake of Grampians System in Victoria, Australia receives water from multiple sources of differing quality and quantity and has the abovesaid problems. A combined simulation and optimisation approach was adopted to carry out the analysis. A multi-objective optimisation approach was applied to achieve optimal water availability and quality in the storage. The multi-objective optimisation model included three objective functions which were: water volume and two water quality parameters: salinity and turbidity. Results showed competing nature of water quantity and quality objectives and established the trade-offs. It further showed that it was possible to generate a range of optimal solutions to effectively manage those trade-offs. The trade-off analysis explored and informed that selective harvesting of inflows is effective to improve water quality in storage. However, with strict water quality restriction there is a considerable loss in water volume. The robustness of the optimisation approach used in this study was confirmed through sensitivity and uncertainty analysis. The research work also incorporated various spatio-temporal scenario analyses to systematically articulate long-term and short-term operational planning strategies. Operational decisions around possible harvesting regimes while achieving optimal water quantity and quality and meeting all water demands were established. The climate change analysis revealed that optimal management of water quantity and quality in storage became extremely challenging under future climate projections. The high reduction in storage volume in the future will lead to several challenges such as water supply shortfall and inability to undertake selective harvesting due to reduced water quality levels. In this context, selective harvesting of inflows based on water quality will no longer be an option to manage water quantity and quality optimally in storage. Some significant conclusions of this research work included the establishment of trade-offs between water quality and quantity objectives particular to this configuration of water supply system. The work demonstrated that selective harvesting of inflows will improve the stored water quality, and this finding along with the approach used is a significant contribution to decision makers working within the water sector. The simulation-optimisation approach is very effective in providing a range of optimal solutions, which can be used to make more informed decisions around achieving optimal water quality and quantity in storage. It was further demonstrated that there are range of planning periods, both long-term (>10 years) and short-term (<1 year), all of which offer distinct advantages and provides useful insights, making this an additional key contribution of the work. Importantly, climate change was also considered where it was found that diminishing water resources, particularly to this geographic location, makes it increasingly difficult to optimise both quality and quantity in storage providing further useful insights from this work.
- Description: Doctor of Philosophy
Tropical cyclone activity in the Solomon Islands region : climatology, variability, and trends
- Haruhiru, Alick, Chand, Savin, Turville, Christopher, Ramsay, Hamish
- Authors: Haruhiru, Alick , Chand, Savin , Turville, Christopher , Ramsay, Hamish
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Climatology Vol. 43, no. 1 (2023), p. 593-614
- Full Text:
- Reviewed:
- Description: This study examines the climatology, variability, and trends of tropical cyclones (TCs) affecting the Solomon Islands (SI) territory, in the wider southwest Pacific (SWP), using the South Pacific Enhanced Archive for Tropical Cyclones (SPEArTC) database. During the period 1969/1970–2018/2019, 168 TCs were recorded in the SI territory. A cluster analysis is used to objectively partition these tracks into three clusters of similar TC trajectories to obtain better insights into the effects of natural climate variability, particularly due to the El Niño–Southern Oscillation (ENSO) phenomenon, which otherwise is not very apparent for TCs when considered collectively in the SI region. We find that TCs in clusters 1 and 3 show enhanced activity during El Niño phase, whereas TCs in cluster 2 are enhanced during La Niña and neutral phases. In addition to being modulated by ENSO, TCs in clusters 2 and 3 show statistically significant modulation at an intraseasonal timescale due to the Madden–Julian Oscillation (MJO) phenomenon. There are also some indications through sophisticated Bayesian modelling that TCs in clusters 2 and 3 are slightly influenced by the Interdecadal Pacific Oscillation (IPO). These results can have substantial implications for cluster-specific development of TC prediction schemes for the SI region. © 2022 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society.
- Authors: Haruhiru, Alick , Chand, Savin , Turville, Christopher , Ramsay, Hamish
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Climatology Vol. 43, no. 1 (2023), p. 593-614
- Full Text:
- Reviewed:
- Description: This study examines the climatology, variability, and trends of tropical cyclones (TCs) affecting the Solomon Islands (SI) territory, in the wider southwest Pacific (SWP), using the South Pacific Enhanced Archive for Tropical Cyclones (SPEArTC) database. During the period 1969/1970–2018/2019, 168 TCs were recorded in the SI territory. A cluster analysis is used to objectively partition these tracks into three clusters of similar TC trajectories to obtain better insights into the effects of natural climate variability, particularly due to the El Niño–Southern Oscillation (ENSO) phenomenon, which otherwise is not very apparent for TCs when considered collectively in the SI region. We find that TCs in clusters 1 and 3 show enhanced activity during El Niño phase, whereas TCs in cluster 2 are enhanced during La Niña and neutral phases. In addition to being modulated by ENSO, TCs in clusters 2 and 3 show statistically significant modulation at an intraseasonal timescale due to the Madden–Julian Oscillation (MJO) phenomenon. There are also some indications through sophisticated Bayesian modelling that TCs in clusters 2 and 3 are slightly influenced by the Interdecadal Pacific Oscillation (IPO). These results can have substantial implications for cluster-specific development of TC prediction schemes for the SI region. © 2022 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society.
A flourishing brain in the 21st century : a scoping review of the impact of developing good habits for mind, brain, well-being, and learning
- Ekman, Rolf, Fletcher, Anna, Giota, Joanna, Eriksson, Axel, Thomas, Bertil, Bååthe, Frederik
- Authors: Ekman, Rolf , Fletcher, Anna , Giota, Joanna , Eriksson, Axel , Thomas, Bertil , Bååthe, Frederik
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Mind, Brain, and Education Vol. 16, no. 1 (2022), p. 13-23
- Full Text:
- Reviewed:
- Description: Emerging scientific knowledge such as the role of epigenetics and neuroplasticity—the brain's capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, influenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student's brain is a work in progress, and it is never too late to take better care of one's cognitive fitness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain's resilience to brain health-degrading challenges. We argue that schools have a crucial role to play in empowering students to increase their own stress resilience, well-being, and learning by developing their own GHs profile. © 2021 The Authors. Mind, Brain, and Education published by International Mind, Brain, and Education Society and Wiley Periodicals LLC.
- Authors: Ekman, Rolf , Fletcher, Anna , Giota, Joanna , Eriksson, Axel , Thomas, Bertil , Bååthe, Frederik
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Mind, Brain, and Education Vol. 16, no. 1 (2022), p. 13-23
- Full Text:
- Reviewed:
- Description: Emerging scientific knowledge such as the role of epigenetics and neuroplasticity—the brain's capability to constantly rewire with every action, experience, and thought—is fundamentally changing our understanding of the potential impact we can have on our brain. Our brain is formed by our habits in interaction with our body, the environment, influenced by our lifestyle, successes, failures, and traumas. Neuroplasticity proves that every student's brain is a work in progress, and it is never too late to take better care of one's cognitive fitness. This review presents a repertoire of good habits (GHs). Combined, we suggest that these GHs provide conditions for optimal brain health, by acting as a “Mental Vaccine” which enhances the brain's resilience to brain health-degrading challenges. We argue that schools have a crucial role to play in empowering students to increase their own stress resilience, well-being, and learning by developing their own GHs profile. © 2021 The Authors. Mind, Brain, and Education published by International Mind, Brain, and Education Society and Wiley Periodicals LLC.
A gendered therapeutic learning landscape : responding creatively to a pandemic
- Foley, Annette, Weadon, Helen, McDonough, Sharon, Taylor, Rachel
- Authors: Foley, Annette , Weadon, Helen , McDonough, Sharon , Taylor, Rachel
- Date: 2022
- Type: Text , Journal article
- Relation: Australian Journal of Adult Learning Vol. 62, no. 1 (2022), p. 8-30
- Full Text:
- Reviewed:
- Description: Crafting has occupied the hands and minds of women over many centuries providing vital connections with cultural skills and with community. While the COVID-19 pandemic has isolated women in their homes, it has also provided opportunities for women to reconnect to crafting through virtual spaces. This paper draws on a thematic analysis of a focus group interview examining the experiences of regional women participating in a crafting group and identifies the ways in which they used craft to support their wellbeing. Drawing on the concept of therapeutic landscapes, the paper highlights that connection in a virtual craft group supports lifelong learning and wellbeing, brings women together in support through a community of women’s practice and facilitates opportunities for producing meaningful and commemorative quilting projects This finding has implications for a society experiencing unprecedented levels of stress, mental illness and anxiety about the future. © 2022, Adult Learning Australia. All rights reserved.
- Authors: Foley, Annette , Weadon, Helen , McDonough, Sharon , Taylor, Rachel
- Date: 2022
- Type: Text , Journal article
- Relation: Australian Journal of Adult Learning Vol. 62, no. 1 (2022), p. 8-30
- Full Text:
- Reviewed:
- Description: Crafting has occupied the hands and minds of women over many centuries providing vital connections with cultural skills and with community. While the COVID-19 pandemic has isolated women in their homes, it has also provided opportunities for women to reconnect to crafting through virtual spaces. This paper draws on a thematic analysis of a focus group interview examining the experiences of regional women participating in a crafting group and identifies the ways in which they used craft to support their wellbeing. Drawing on the concept of therapeutic landscapes, the paper highlights that connection in a virtual craft group supports lifelong learning and wellbeing, brings women together in support through a community of women’s practice and facilitates opportunities for producing meaningful and commemorative quilting projects This finding has implications for a society experiencing unprecedented levels of stress, mental illness and anxiety about the future. © 2022, Adult Learning Australia. All rights reserved.
A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting
- Dai, Yong, Khandelwal, Manoj, Qiu, Yingui, Zhou, Jian, Monjezi, Monjezi, Yang, Peixi
- Authors: Dai, Yong , Khandelwal, Manoj , Qiu, Yingui , Zhou, Jian , Monjezi, Monjezi , Yang, Peixi
- Date: 2022
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 34, no. 8 (2022), p. 6273-6288
- Full Text:
- Reviewed:
- Description: Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an explosion operation. Excessive backbreak increases operational costs and also poses a threat to mine safety. In this regard, a new hybrid intelligence approach based on random forest (RF) and particle swarm optimization (PSO) is proposed for predicting backbreak with high accuracy to reduce the unsolicited phenomenon induced by backbreak in open-pit blasting. A data set of 234 samples with six input parameters including special drilling (SD), spacing (S), burden (B), hole length (L), stemming (T) and powder factor (PF) and one output parameter backbreak (BB) is set up in this study. Seven input combinations (one with six parameters, six with five parameters) are built to generate the optimal prediction model. The PSO algorithm is integrated with the RF algorithm to find the optimal hyper-parameters of each model and the fitness function, which is the mean absolute error (MAE) of ten cross-validations. The performance capacities of the optimal models are assessed using MAE, root-mean-square error (RMSE), Pearson correlation coefficient (R2) and mean absolute percentage error (MAPE). Findings demonstrated that the PSO–RF model combining L–S–B–T–PF with MAE of 0.0132 and 0.0568, RMSE of 0.0811 and 0.1686, R2 of 0.9990 and 0.9961 and MAPE of 0.0027 and 0.0116 in training and testing phases, respectively, has optimal prediction performance. The optimal PSO–RF models were compared with the classical artificial neural network, RF, genetic programming, support vector machine and convolutional neural network models and show that the PSO–RF model has superiority in predicting backbreak. The Gini index of each input variable has also been calculated in the RF model, which was 31.2 (L), 23.1 (S), 27.4 (B), 36.6 (T), 23.4 (PF) and 16.9 (SD), respectively. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
- Authors: Dai, Yong , Khandelwal, Manoj , Qiu, Yingui , Zhou, Jian , Monjezi, Monjezi , Yang, Peixi
- Date: 2022
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 34, no. 8 (2022), p. 6273-6288
- Full Text:
- Reviewed:
- Description: Backbreak is a rock fracture problem that exceeds the limits of the last row of holes in an explosion operation. Excessive backbreak increases operational costs and also poses a threat to mine safety. In this regard, a new hybrid intelligence approach based on random forest (RF) and particle swarm optimization (PSO) is proposed for predicting backbreak with high accuracy to reduce the unsolicited phenomenon induced by backbreak in open-pit blasting. A data set of 234 samples with six input parameters including special drilling (SD), spacing (S), burden (B), hole length (L), stemming (T) and powder factor (PF) and one output parameter backbreak (BB) is set up in this study. Seven input combinations (one with six parameters, six with five parameters) are built to generate the optimal prediction model. The PSO algorithm is integrated with the RF algorithm to find the optimal hyper-parameters of each model and the fitness function, which is the mean absolute error (MAE) of ten cross-validations. The performance capacities of the optimal models are assessed using MAE, root-mean-square error (RMSE), Pearson correlation coefficient (R2) and mean absolute percentage error (MAPE). Findings demonstrated that the PSO–RF model combining L–S–B–T–PF with MAE of 0.0132 and 0.0568, RMSE of 0.0811 and 0.1686, R2 of 0.9990 and 0.9961 and MAPE of 0.0027 and 0.0116 in training and testing phases, respectively, has optimal prediction performance. The optimal PSO–RF models were compared with the classical artificial neural network, RF, genetic programming, support vector machine and convolutional neural network models and show that the PSO–RF model has superiority in predicting backbreak. The Gini index of each input variable has also been calculated in the RF model, which was 31.2 (L), 23.1 (S), 27.4 (B), 36.6 (T), 23.4 (PF) and 16.9 (SD), respectively. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
A literature review of the COVID-19 pandemic’s effect on sustainable HRM
- Liang, Xiaoyan, Zhang, Xiwei, Paulet, Renee, Zheng, Leven
- Authors: Liang, Xiaoyan , Zhang, Xiwei , Paulet, Renee , Zheng, Leven
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sustainability (Switzerland) Vol. 14, no. 5 (2022), p.
- Full Text:
- Reviewed:
- Description: The ramifications of the COVID-19 pandemic continue to emerge across all facets of the world of work, including the field of human resource management (HRM). Sustainable HRM, drawing on the triple bottom line elements of the economic, environmental and social pillars of sustainability, provides an ideal basis from which to understand the intersection of the COVID-19 pandemic and HRM. In this systematic literature review, we analyze peer reviewed articles published in the nexus of the pandemic and sustainable HRM, identifying the dimensions and extent of research in this topical area of study. Our CEDEL model—complicator–exposer–disruptor–enabler– legitimizer—conceptualizes our understanding of the role of COVID-19 in sustainable HRM. This paper provides a framework from which future studies can benefit when investigating the impacts of COVID-19, and a comprehensive identification of future research avenues. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
- Authors: Liang, Xiaoyan , Zhang, Xiwei , Paulet, Renee , Zheng, Leven
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sustainability (Switzerland) Vol. 14, no. 5 (2022), p.
- Full Text:
- Reviewed:
- Description: The ramifications of the COVID-19 pandemic continue to emerge across all facets of the world of work, including the field of human resource management (HRM). Sustainable HRM, drawing on the triple bottom line elements of the economic, environmental and social pillars of sustainability, provides an ideal basis from which to understand the intersection of the COVID-19 pandemic and HRM. In this systematic literature review, we analyze peer reviewed articles published in the nexus of the pandemic and sustainable HRM, identifying the dimensions and extent of research in this topical area of study. Our CEDEL model—complicator–exposer–disruptor–enabler– legitimizer—conceptualizes our understanding of the role of COVID-19 in sustainable HRM. This paper provides a framework from which future studies can benefit when investigating the impacts of COVID-19, and a comprehensive identification of future research avenues. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
A new dimensionality-unbiased score for efficient and effective outlying aspect mining
- Samariya, Durgesh, Ma, Jiangang
- Authors: Samariya, Durgesh , Ma, Jiangang
- Date: 2022
- Type: Text , Journal article
- Relation: Data Science and Engineering Vol. 7, no. 2 (2022), p. 120-135
- Full Text:
- Reviewed:
- Description: The main aim of the outlying aspect mining algorithm is to automatically detect the subspace(s) (a.k.a. aspect(s)), where a given data point is dramatically different than the rest of the data in each of those subspace(s) (aspect(s)). To rank the subspaces for a given data point, a scoring measure is required to compute the outlying degree of the given data in each subspace. In this paper, we introduce a new 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 normalization 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. © 2022, The Author(s).
- Authors: Samariya, Durgesh , Ma, Jiangang
- Date: 2022
- Type: Text , Journal article
- Relation: Data Science and Engineering Vol. 7, no. 2 (2022), p. 120-135
- Full Text:
- Reviewed:
- Description: The main aim of the outlying aspect mining algorithm is to automatically detect the subspace(s) (a.k.a. aspect(s)), where a given data point is dramatically different than the rest of the data in each of those subspace(s) (aspect(s)). To rank the subspaces for a given data point, a scoring measure is required to compute the outlying degree of the given data in each subspace. In this paper, we introduce a new 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 normalization 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. © 2022, The Author(s).
A new hybrid cascaded switched-capacitor reduced switch multilevel inverter for renewable sources and domestic loads
- Rezaei, Mohammad, Nayeripour, Majid, Hu, Jiefeng, Band, Shahab, Mosavi, Amir, Khooban, Mohammad-Hassan
- Authors: Rezaei, Mohammad , Nayeripour, Majid , Hu, Jiefeng , Band, Shahab , Mosavi, Amir , Khooban, Mohammad-Hassan
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Access Vol. 10, no. (2022), p. 14157-14183
- Full Text:
- Reviewed:
- Description: This multilevel inverter type summarizes an output voltage of medium voltage based on a series connection of power cells employing standard configurations of low-voltage components. The main problems of cascaded switched-capacitor multilevel inverters (CSCMLIs) are the harmful reverse flowing current of inductive loads, the large number of switches, and the surge current of the capacitors. As the number of switches increases, the reliability of the inverter decreases. To address these issues, a new CSCMLI is proposed using two modules containing asymmetric DC sources to generate 13 levels. The main novelty of the proposed configuration is the reduction of the number of switches while increasing the maximum output voltage. Despite the many similarities, the presented topology differs from similar topologies. Compared to similar structures, the direction of some switches is reversed, leading to a change in the direction of current flow. By incorporating the lowest number of semiconductors, it was demonstrated that the proposed inverter has the lowest cost function among similar inverters. The role of switched-capacitor inrush current in the selection of switch, diode, and DC source for inverter operation in medium and high voltage applications is presented. The inverter performance to supply the inductive loads is clarified. Comparison of the simulation and experimental results validates the effectiveness of the proposed inverter topology, showing promising potentials in photovoltaic, buildings, and domestic applications. A video demonstrating the experimental test, and all manufacturing data are attached. © 2013 IEEE.
- Authors: Rezaei, Mohammad , Nayeripour, Majid , Hu, Jiefeng , Band, Shahab , Mosavi, Amir , Khooban, Mohammad-Hassan
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Access Vol. 10, no. (2022), p. 14157-14183
- Full Text:
- Reviewed:
- Description: This multilevel inverter type summarizes an output voltage of medium voltage based on a series connection of power cells employing standard configurations of low-voltage components. The main problems of cascaded switched-capacitor multilevel inverters (CSCMLIs) are the harmful reverse flowing current of inductive loads, the large number of switches, and the surge current of the capacitors. As the number of switches increases, the reliability of the inverter decreases. To address these issues, a new CSCMLI is proposed using two modules containing asymmetric DC sources to generate 13 levels. The main novelty of the proposed configuration is the reduction of the number of switches while increasing the maximum output voltage. Despite the many similarities, the presented topology differs from similar topologies. Compared to similar structures, the direction of some switches is reversed, leading to a change in the direction of current flow. By incorporating the lowest number of semiconductors, it was demonstrated that the proposed inverter has the lowest cost function among similar inverters. The role of switched-capacitor inrush current in the selection of switch, diode, and DC source for inverter operation in medium and high voltage applications is presented. The inverter performance to supply the inductive loads is clarified. Comparison of the simulation and experimental results validates the effectiveness of the proposed inverter topology, showing promising potentials in photovoltaic, buildings, and domestic applications. A video demonstrating the experimental test, and all manufacturing data are attached. © 2013 IEEE.
A practical guide to multi-objective reinforcement learning and planning
- Hayes, Conor, Rădulescu, Roxana, Bargiacchi, Eugenio, Källström, Johan, Macfarlane, Matthew, Reymond, Mathieu, Verstraeten, Timothy, Zintgraf, Luisa, Dazeley, Richard, Heintz, Frederick, Howley, Enda, Irissappane, Athirai, Mannion, Patrick, Nowé, Ann, Ramos, Gabriel, Restelli, Marcello, Vamplew, Peter, Roijers, Diederik
- Authors: Hayes, Conor , Rădulescu, Roxana , Bargiacchi, Eugenio , Källström, Johan , Macfarlane, Matthew , Reymond, Mathieu , Verstraeten, Timothy , Zintgraf, Luisa , Dazeley, Richard , Heintz, Frederick , Howley, Enda , Irissappane, Athirai , Mannion, Patrick , Nowé, Ann , Ramos, Gabriel , Restelli, Marcello , Vamplew, Peter , Roijers, Diederik
- Date: 2022
- Type: Text , Journal article
- Relation: Autonomous Agents and Multi-Agent Systems Vol. 36, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via a simple linear combination. Such approaches may oversimplify the underlying problem and hence produce suboptimal results. This paper serves as a guide to the application of multi-objective methods to difficult problems, and is aimed at researchers who are already familiar with single-objective reinforcement learning and planning methods who wish to adopt a multi-objective perspective on their research, as well as practitioners who encounter multi-objective decision problems in practice. It identifies the factors that may influence the nature of the desired solution, and illustrates by example how these influence the design of multi-objective decision-making systems for complex problems. © 2022, The Author(s).
- Authors: Hayes, Conor , Rădulescu, Roxana , Bargiacchi, Eugenio , Källström, Johan , Macfarlane, Matthew , Reymond, Mathieu , Verstraeten, Timothy , Zintgraf, Luisa , Dazeley, Richard , Heintz, Frederick , Howley, Enda , Irissappane, Athirai , Mannion, Patrick , Nowé, Ann , Ramos, Gabriel , Restelli, Marcello , Vamplew, Peter , Roijers, Diederik
- Date: 2022
- Type: Text , Journal article
- Relation: Autonomous Agents and Multi-Agent Systems Vol. 36, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: Real-world sequential decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via a simple linear combination. Such approaches may oversimplify the underlying problem and hence produce suboptimal results. This paper serves as a guide to the application of multi-objective methods to difficult problems, and is aimed at researchers who are already familiar with single-objective reinforcement learning and planning methods who wish to adopt a multi-objective perspective on their research, as well as practitioners who encounter multi-objective decision problems in practice. It identifies the factors that may influence the nature of the desired solution, and illustrates by example how these influence the design of multi-objective decision-making systems for complex problems. © 2022, The Author(s).
A privacy-preserving framework for smart context-aware healthcare applications
- Azad, Muhammad, Arshad, Junaid, Mahmoud, Shazia, Salah, Khaled, Imran, Muhammad
- Authors: Azad, Muhammad , Arshad, Junaid , Mahmoud, Shazia , Salah, Khaled , Imran, Muhammad
- Date: 2022
- Type: Text , Journal article
- Relation: Transactions on Emerging Telecommunications Technologies Vol. 33, no. 8 (2022), p.
- Full Text:
- Reviewed:
- Description: Smart connected devices are widely used in healthcare to achieve improved well-being, quality of life, and security of citizens. While improving quality of healthcare, such devices generate data containing sensitive patient information where unauthorized access constitutes breach of privacy leading to catastrophic outcomes for an individual as well as financial loss to the governing body via regulations such as the General Data Protection Regulation. Furthermore, while mobility afforded by smart devices enables ease of monitoring, portability, and pervasive processing, it introduces challenges with respect to scalability, reliability, and context awareness. This paper is focused on privacy preservation within smart context-aware healthcare emphasizing privacy assurance challenges within Electronic Transfer of Prescription. We present a case for a comprehensive, coherent, and dynamic privacy-preserving system for smart healthcare to protect sensitive user data. Based on a thorough analysis of existing privacy preservation models, we propose an enhancement to the widely used Salford model to achieve privacy preservation against masquerading and impersonation threats. The proposed model therefore improves privacy assurance for smart healthcare while addressing unique challenges with respect to context-aware mobility of such applications. © 2019 John Wiley & Sons, Ltd.
- Authors: Azad, Muhammad , Arshad, Junaid , Mahmoud, Shazia , Salah, Khaled , Imran, Muhammad
- Date: 2022
- Type: Text , Journal article
- Relation: Transactions on Emerging Telecommunications Technologies Vol. 33, no. 8 (2022), p.
- Full Text:
- Reviewed:
- Description: Smart connected devices are widely used in healthcare to achieve improved well-being, quality of life, and security of citizens. While improving quality of healthcare, such devices generate data containing sensitive patient information where unauthorized access constitutes breach of privacy leading to catastrophic outcomes for an individual as well as financial loss to the governing body via regulations such as the General Data Protection Regulation. Furthermore, while mobility afforded by smart devices enables ease of monitoring, portability, and pervasive processing, it introduces challenges with respect to scalability, reliability, and context awareness. This paper is focused on privacy preservation within smart context-aware healthcare emphasizing privacy assurance challenges within Electronic Transfer of Prescription. We present a case for a comprehensive, coherent, and dynamic privacy-preserving system for smart healthcare to protect sensitive user data. Based on a thorough analysis of existing privacy preservation models, we propose an enhancement to the widely used Salford model to achieve privacy preservation against masquerading and impersonation threats. The proposed model therefore improves privacy assurance for smart healthcare while addressing unique challenges with respect to context-aware mobility of such applications. © 2019 John Wiley & Sons, Ltd.
A review of sediment carbon sampling methods in mangroves and their broader impacts on stock estimates for blue carbon ecosystems
- Fest, Benedikt, Swearer, Stephen, Arndt, Stefan
- Authors: Fest, Benedikt , Swearer, Stephen , Arndt, Stefan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Science of the Total Environment Vol. 816, no. (2022), p.
- Full Text:
- Reviewed:
- Description: Blue carbon ecosystems (BCEs), such as mangroves, tidal marshes, and seagrasses, are attracting interest for their potential to mitigate climate change arising from their high rates of carbon accumulation and the significant carbon stocks in their sediments. However, current sediment carbon sampling methods present a mixture of approaches adopted from paleoenvironmental methods focused on historical reconstruction of carbon accumulation, and from soil science methods developed to provide highly accurate and spatially representative carbon stock measurements. Currently, no international standard method for sediment carbon stock analysis exists. Consequently, current estimates of sediment carbon stock values for BCEs may have large uncertainties due to variable methodology. We reviewed and analysed the methods used 217 studies included in two recent global syntheses of carbon stocks in mangrove forest ecosystems to illustrate a lack of consistency in sediment sampling. We then outline how the choice of study design and field sampling methods can introduce inaccuracies and uncertainties in sediment carbon stock analysis. We conclude with examples of how each of these challenges can be resolved and how greater carbon stock quantification accuracy and higher spatial integration can be achieved for blue carbon ecosystems in the future. © 2021 Elsevier B.V.
- Authors: Fest, Benedikt , Swearer, Stephen , Arndt, Stefan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Science of the Total Environment Vol. 816, no. (2022), p.
- Full Text:
- Reviewed:
- Description: Blue carbon ecosystems (BCEs), such as mangroves, tidal marshes, and seagrasses, are attracting interest for their potential to mitigate climate change arising from their high rates of carbon accumulation and the significant carbon stocks in their sediments. However, current sediment carbon sampling methods present a mixture of approaches adopted from paleoenvironmental methods focused on historical reconstruction of carbon accumulation, and from soil science methods developed to provide highly accurate and spatially representative carbon stock measurements. Currently, no international standard method for sediment carbon stock analysis exists. Consequently, current estimates of sediment carbon stock values for BCEs may have large uncertainties due to variable methodology. We reviewed and analysed the methods used 217 studies included in two recent global syntheses of carbon stocks in mangrove forest ecosystems to illustrate a lack of consistency in sediment sampling. We then outline how the choice of study design and field sampling methods can introduce inaccuracies and uncertainties in sediment carbon stock analysis. We conclude with examples of how each of these challenges can be resolved and how greater carbon stock quantification accuracy and higher spatial integration can be achieved for blue carbon ecosystems in the future. © 2021 Elsevier B.V.
A supervised learning model to identify the star potential of a basketball player
- Srinivasan, Ram, Balasubramanian, Venki, Vidyasagar, Abhishek
- Authors: Srinivasan, Ram , Balasubramanian, Venki , Vidyasagar, Abhishek
- Date: 2022
- Type: Text , Journal article
- Relation: Expert Systems Vol. 39, no. 5 (2022), p.
- Full Text:
- Reviewed:
- Description: Basketball is a mathematical game with many abstract data interpretations. An average fan ceases to witness the revolution in sports, which is influenced using data science and analytics unless someone brings it to light. Nowadays, teams look at data and tend to make decisions on scouting the player for the team. The decision making for the coaches can be made easier using machine learning algorithms to identify the star potential of players. The paper provides a novel algorithm by building a machine learning model on all players to predict whether the player is a star or not. Besides, an interactive user interface is developed for coaches to input the player's data and to make an informed decision based on the prediction. © 2021 John Wiley & Sons Ltd.
- Authors: Srinivasan, Ram , Balasubramanian, Venki , Vidyasagar, Abhishek
- Date: 2022
- Type: Text , Journal article
- Relation: Expert Systems Vol. 39, no. 5 (2022), p.
- Full Text:
- Reviewed:
- Description: Basketball is a mathematical game with many abstract data interpretations. An average fan ceases to witness the revolution in sports, which is influenced using data science and analytics unless someone brings it to light. Nowadays, teams look at data and tend to make decisions on scouting the player for the team. The decision making for the coaches can be made easier using machine learning algorithms to identify the star potential of players. The paper provides a novel algorithm by building a machine learning model on all players to predict whether the player is a star or not. Besides, an interactive user interface is developed for coaches to input the player's data and to make an informed decision based on the prediction. © 2021 John Wiley & Sons Ltd.
A systematic review on fitness testing in adult male basketball players : tests adopted, characteristics reported and recommendations for practice
- Morrison, Matthew, Martin, David, Talpey, Scott, Scanlan, Aaron, Delaney, Jace, Halson, Shona, Weakley, Jonathon
- Authors: Morrison, Matthew , Martin, David , Talpey, Scott , Scanlan, Aaron , Delaney, Jace , Halson, Shona , Weakley, Jonathon
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sports Medicine Vol. 52, no. 7 (2022), p. 1491-1532
- Full Text:
- Reviewed:
- Description: Background: As basketball match-play requires players to possess a wide range of physical characteristics, many tests have been introduced in the literature to identify talent and quantify fitness in various samples of players. However, a synthesis of the literature to identify the most frequently used tests, outcome variables, and normative values for basketball-related physical characteristics in adult male basketball players is yet to be conducted. Objective: The primary objectives of this systematic review are to (1) identify tests and outcome variables used to assess physical characteristics in adult male basketball players across all competition levels, (2) report a summary of anthropometric, muscular power, linear speed, change-of-direction speed, agility, strength, anaerobic capacity, and aerobic capacity in adult male basketball players based on playing position and competition level, and (3) introduce a framework outlining recommended testing approaches to quantify physical characteristics in adult male basketball players. Methods: A systematic review of MEDLINE, PubMed, SPORTDiscus, Scopus, and Web of Science was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies. To be eligible for inclusion, studies were required to: (1) be original research articles; (2) be published in a peer-reviewed journal; (3) have full-text versions available in the English language; and (4) include the primary aim of reporting tests used and/or the physical characteristics of adult (i.e., ≥ 18 years of age) male basketball players. Additionally, data from the top 10 draft picks who participated in the National Basketball Association combined from 2011–12 to 2020–21 were extracted from the official league website to highlight the physical characteristics of elite 19- to 24-year-old basketball players. Results: A total of 1684 studies were identified, with 375 being duplicates. Consequently, the titles and abstracts of 1309 studies were screened and 231 studies were eligible for full-text review. The reference list of each study was searched, with a further 59 studies identified as eligible for review. After full-text screening, 137 studies identified tests, while 114 studies reported physical characteristics in adult male basketball players. Conclusions: Physical characteristics reported indicate a wide range of abilities are present across playing competitions. The tests and outcome variables reported in the literature highlight the multitude of tests currently being used. Because there are no accepted international standards for physical assessment of basketball players, establishing normative data is challenging. Therefore, future testing should involve repeatable protocols that are standardised and provide outcomes that can be monitored across time. Recommendations for testing batteries in adult male basketball players are provided so improved interpretation of data can occur. Clinical Trial Registration: This review was registered with the International Prospective Register of Systematic Reviews and allocated registration number CRD42020187151 on 28 April, 2020. © 2022, The Author(s).
- Authors: Morrison, Matthew , Martin, David , Talpey, Scott , Scanlan, Aaron , Delaney, Jace , Halson, Shona , Weakley, Jonathon
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Sports Medicine Vol. 52, no. 7 (2022), p. 1491-1532
- Full Text:
- Reviewed:
- Description: Background: As basketball match-play requires players to possess a wide range of physical characteristics, many tests have been introduced in the literature to identify talent and quantify fitness in various samples of players. However, a synthesis of the literature to identify the most frequently used tests, outcome variables, and normative values for basketball-related physical characteristics in adult male basketball players is yet to be conducted. Objective: The primary objectives of this systematic review are to (1) identify tests and outcome variables used to assess physical characteristics in adult male basketball players across all competition levels, (2) report a summary of anthropometric, muscular power, linear speed, change-of-direction speed, agility, strength, anaerobic capacity, and aerobic capacity in adult male basketball players based on playing position and competition level, and (3) introduce a framework outlining recommended testing approaches to quantify physical characteristics in adult male basketball players. Methods: A systematic review of MEDLINE, PubMed, SPORTDiscus, Scopus, and Web of Science was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify relevant studies. To be eligible for inclusion, studies were required to: (1) be original research articles; (2) be published in a peer-reviewed journal; (3) have full-text versions available in the English language; and (4) include the primary aim of reporting tests used and/or the physical characteristics of adult (i.e., ≥ 18 years of age) male basketball players. Additionally, data from the top 10 draft picks who participated in the National Basketball Association combined from 2011–12 to 2020–21 were extracted from the official league website to highlight the physical characteristics of elite 19- to 24-year-old basketball players. Results: A total of 1684 studies were identified, with 375 being duplicates. Consequently, the titles and abstracts of 1309 studies were screened and 231 studies were eligible for full-text review. The reference list of each study was searched, with a further 59 studies identified as eligible for review. After full-text screening, 137 studies identified tests, while 114 studies reported physical characteristics in adult male basketball players. Conclusions: Physical characteristics reported indicate a wide range of abilities are present across playing competitions. The tests and outcome variables reported in the literature highlight the multitude of tests currently being used. Because there are no accepted international standards for physical assessment of basketball players, establishing normative data is challenging. Therefore, future testing should involve repeatable protocols that are standardised and provide outcomes that can be monitored across time. Recommendations for testing batteries in adult male basketball players are provided so improved interpretation of data can occur. Clinical Trial Registration: This review was registered with the International Prospective Register of Systematic Reviews and allocated registration number CRD42020187151 on 28 April, 2020. © 2022, The Author(s).
Adjustment for body mass index changes inverse associations of HDL-cholesterol with blood pressure and hypertension to positive associations
- Yang, Guang, Qian, Tingting, Sun, Hui, Xu, Qun, Hou, Xujuan, Hu, Wenqi, Zhang, Guang, Drummond, Grant, Sobey, Christopher, Witting, Paul, Denton, Kate, Charchar, Fadi, Golledge, Jonathan, Wang, Yutang
- Authors: Yang, Guang , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Drummond, Grant , Sobey, Christopher , Witting, Paul , Denton, Kate , Charchar, Fadi , Golledge, Jonathan , Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 36, no. 6 (2022), p. 570-579
- Full Text:
- Reviewed:
- Description: The associations between high-density lipoprotein cholesterol (HDL-C) and blood pressure (BP) or hypertension are inconsistent in previous studies. This study aimed to assess these associations in a large cohort of Chinese adults and across different age groups. This cross-sectional association study included 22,081 Chinese adults. Associations of HDL-C with BP and hypertension were analyzed using linear or logistic regression, with or without adjustment for confounding factors. HDL-C was inversely associated with BP and hypertension. These associations were still apparent after adjustment for age, sex, fasting plasma glucose, and low-density lipoprotein cholesterol. Sub-analyses revealed: (1) in the whole cohort and females alone, HDL-C was inversely associated with BP and hypertension in young and middle-aged but not older participants; (2) in males alone, HDL-C was not associated with systolic BP or hypertension. However, HDL-C was either inversely, or not, or positively associated with BP in young, middle-aged, and older males, respectively. After further adjustment for body mass index (BMI), the negative associations of HDL-C with BP and hypertension in the whole cohort became positive ones, and the positive associations only presented in males. These findings suggest that further adjustment for BMI changes inverse associations of HDL-cholesterol with BP and hypertension to positive associations in a cohort of Chinese adults. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
- Authors: Yang, Guang , Qian, Tingting , Sun, Hui , Xu, Qun , Hou, Xujuan , Hu, Wenqi , Zhang, Guang , Drummond, Grant , Sobey, Christopher , Witting, Paul , Denton, Kate , Charchar, Fadi , Golledge, Jonathan , Wang, Yutang
- Date: 2022
- Type: Text , Journal article
- Relation: Journal of Human Hypertension Vol. 36, no. 6 (2022), p. 570-579
- Full Text:
- Reviewed:
- Description: The associations between high-density lipoprotein cholesterol (HDL-C) and blood pressure (BP) or hypertension are inconsistent in previous studies. This study aimed to assess these associations in a large cohort of Chinese adults and across different age groups. This cross-sectional association study included 22,081 Chinese adults. Associations of HDL-C with BP and hypertension were analyzed using linear or logistic regression, with or without adjustment for confounding factors. HDL-C was inversely associated with BP and hypertension. These associations were still apparent after adjustment for age, sex, fasting plasma glucose, and low-density lipoprotein cholesterol. Sub-analyses revealed: (1) in the whole cohort and females alone, HDL-C was inversely associated with BP and hypertension in young and middle-aged but not older participants; (2) in males alone, HDL-C was not associated with systolic BP or hypertension. However, HDL-C was either inversely, or not, or positively associated with BP in young, middle-aged, and older males, respectively. After further adjustment for body mass index (BMI), the negative associations of HDL-C with BP and hypertension in the whole cohort became positive ones, and the positive associations only presented in males. These findings suggest that further adjustment for BMI changes inverse associations of HDL-cholesterol with BP and hypertension to positive associations in a cohort of Chinese adults. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Adoption of blockchain technology : exploring the factors affecting organizational decision
- Malik, Saleem, Chadhar, Mehmood, Chetty, Madhu, Vatanasakdakul, Savanid
- Authors: Malik, Saleem , Chadhar, Mehmood , Chetty, Madhu , Vatanasakdakul, Savanid
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Human Behavior and Emerging Technologies Vol. 2022, no. (2022), p.
- Full Text:
- Reviewed:
- Description: Blockchain (BCT) is an emerging technology that promises many benefits for organizations, for instance, disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organizations has not reached a significantly high level worldwide, thus requiring further research in this space. The present study addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant literature, affect the organizational adoption of BCT in Australia. To fill this gap, the study uses the qualitative interpretative research approach along with the technology-organization-environment (TOE) framework as a theoretical lens. The data was mainly drawn from the literature review and semi-structured interviews of the decision-makers and senior IT people from the BCT adopter and potential adopter organizations in Australia. According to the findings, perceived information transparency, perceived risks, organization innovativeness, organization learning capability, standards uncertainty, and competition intensity influence organizational adoption of BCT in Australia. These factors are exclusively identified in this study. The study also validates the influence of perceived benefits and perceived compatibility on BCT adoption that are reported in the past studies. Practically, these findings are helpful for the Australian government and public and private organizations to develop better policies and make informed decisions for the organizational adoption of BCT. The findings would guide decision-makers to think about the adoption of BCT strategically. The study also has theoretical implications explained in the discussion section. © 2022 Saleem Malik et al.
- Authors: Malik, Saleem , Chadhar, Mehmood , Chetty, Madhu , Vatanasakdakul, Savanid
- Date: 2022
- Type: Text , Journal article , Review
- Relation: Human Behavior and Emerging Technologies Vol. 2022, no. (2022), p.
- Full Text:
- Reviewed:
- Description: Blockchain (BCT) is an emerging technology that promises many benefits for organizations, for instance, disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organizations has not reached a significantly high level worldwide, thus requiring further research in this space. The present study addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant literature, affect the organizational adoption of BCT in Australia. To fill this gap, the study uses the qualitative interpretative research approach along with the technology-organization-environment (TOE) framework as a theoretical lens. The data was mainly drawn from the literature review and semi-structured interviews of the decision-makers and senior IT people from the BCT adopter and potential adopter organizations in Australia. According to the findings, perceived information transparency, perceived risks, organization innovativeness, organization learning capability, standards uncertainty, and competition intensity influence organizational adoption of BCT in Australia. These factors are exclusively identified in this study. The study also validates the influence of perceived benefits and perceived compatibility on BCT adoption that are reported in the past studies. Practically, these findings are helpful for the Australian government and public and private organizations to develop better policies and make informed decisions for the organizational adoption of BCT. The findings would guide decision-makers to think about the adoption of BCT strategically. The study also has theoretical implications explained in the discussion section. © 2022 Saleem Malik et al.
Air pollution perception in ten countries during the COVID-19 pandemic
- Lou, Baowen, Barbieri, Diego, Passavanti, Marco, Hui, Cang, Gupta, Akshay, Hoff, Inge, Lessa, Daniela, Sikka, Gaurav, Chang, Kevin, Fang, Kevin, Lam, Louisa, Maharaj, Brij, Ghasemi, Navid, Qiao, Yaning, Adomako, Solomon, Foroutan Mirhosseini, Ali, Naik, Bhaven, Banerjee, Arunabha, Wang, Fusong, Tucker, Andrew, Liu, Zhuangzhuanga, Wijayaratna, Kasunt, Naseri, Sahra, Yu, Lei, Chen, Hao, Shu, Benan, Goswami, Shubham, Peprah, Prince, Hessami, Amir, Abbas, Montasir, Agarwal, Nithin
- Authors: Lou, Baowen , Barbieri, Diego , Passavanti, Marco , Hui, Cang , Gupta, Akshay , Hoff, Inge , Lessa, Daniela , Sikka, Gaurav , Chang, Kevin , Fang, Kevin , Lam, Louisa , Maharaj, Brij , Ghasemi, Navid , Qiao, Yaning , Adomako, Solomon , Foroutan Mirhosseini, Ali , Naik, Bhaven , Banerjee, Arunabha , Wang, Fusong , Tucker, Andrew , Liu, Zhuangzhuanga , Wijayaratna, Kasunt , Naseri, Sahra , Yu, Lei , Chen, Hao , Shu, Benan , Goswami, Shubham , Peprah, Prince , Hessami, Amir , Abbas, Montasir , Agarwal, Nithin
- Date: 2022
- Type: Text , Journal article
- Relation: Ambio Vol. 51, no. 3 (2022), p. 531-545
- Full Text:
- Reviewed:
- Description: As largely documented in the literature, the stark restrictions enforced worldwide in 2020 to curb the COVID-19 pandemic also curtailed the production of air pollutants to some extent. This study investigates the perception of the air pollution as assessed by individuals located in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the USA. The perceptions towards air quality were evaluated by employing an online survey administered in May 2020. Participants (N = 9394) in the ten countries expressed their opinions according to a Likert-scale response. A reduction in pollutant concentration was clearly perceived, albeit to a different extent, by all populations. The survey participants located in India and Italy perceived the largest drop in the air pollution concentration; conversely, the smallest variation was perceived among Chinese and Norwegian respondents. Among all the demographic indicators considered, only gender proved to be statistically significant. © 2021, The Author(s).
- Authors: Lou, Baowen , Barbieri, Diego , Passavanti, Marco , Hui, Cang , Gupta, Akshay , Hoff, Inge , Lessa, Daniela , Sikka, Gaurav , Chang, Kevin , Fang, Kevin , Lam, Louisa , Maharaj, Brij , Ghasemi, Navid , Qiao, Yaning , Adomako, Solomon , Foroutan Mirhosseini, Ali , Naik, Bhaven , Banerjee, Arunabha , Wang, Fusong , Tucker, Andrew , Liu, Zhuangzhuanga , Wijayaratna, Kasunt , Naseri, Sahra , Yu, Lei , Chen, Hao , Shu, Benan , Goswami, Shubham , Peprah, Prince , Hessami, Amir , Abbas, Montasir , Agarwal, Nithin
- Date: 2022
- Type: Text , Journal article
- Relation: Ambio Vol. 51, no. 3 (2022), p. 531-545
- Full Text:
- Reviewed:
- Description: As largely documented in the literature, the stark restrictions enforced worldwide in 2020 to curb the COVID-19 pandemic also curtailed the production of air pollutants to some extent. This study investigates the perception of the air pollution as assessed by individuals located in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the USA. The perceptions towards air quality were evaluated by employing an online survey administered in May 2020. Participants (N = 9394) in the ten countries expressed their opinions according to a Likert-scale response. A reduction in pollutant concentration was clearly perceived, albeit to a different extent, by all populations. The survey participants located in India and Italy perceived the largest drop in the air pollution concentration; conversely, the smallest variation was perceived among Chinese and Norwegian respondents. Among all the demographic indicators considered, only gender proved to be statistically significant. © 2021, The Author(s).
An adaptive fault ride-through scheme for grid-forming inverters under asymmetrical grid faults
- Li, Zilin, Chan, Ka, Hu, Jiefeng, Or, Siu
- Authors: Li, Zilin , Chan, Ka , Hu, Jiefeng , Or, Siu
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Electronics Vol. 69, no. 12 (2022), p. 12912-12923
- Full Text:
- Reviewed:
- Description: Three-phase four-wire grid-forming (GFM) inverters are promising to interface distributed energy resources into low-voltage networks. However, these inverters are prone to overcurrent under grid faults. Physically increasing the inverter current capacity is not cost-effective to cope with complicated fault conditions. In this article, an adaptive fault ride-through (FRT) scheme based on instantaneous saturators and virtual negative- and zero-sequence resistances is proposed. It features not only overcurrent limitation by modifying voltage references, but also seamless transition between normal and grid fault conditions. The proposed FRT scheme is first analyzed from different aspects, including the virtual sequence resistances, grid short-circuit ratio, fault types, and fault levels. The virtual sequence resistances are then designed to be adaptive to ensure high voltage quality at the healthy phase. The proposed FRT scheme is verified by MATLAB/Simulink simulations under asymmetrical faults. A laboratory platform with a grid-connected 3kW GFM inverter is further constructed to demonstrate its effectiveness (a video of the experimental results under three asymmetrical faults is attached). © 1982-2012 IEEE.
- Authors: Li, Zilin , Chan, Ka , Hu, Jiefeng , Or, Siu
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Industrial Electronics Vol. 69, no. 12 (2022), p. 12912-12923
- Full Text:
- Reviewed:
- Description: Three-phase four-wire grid-forming (GFM) inverters are promising to interface distributed energy resources into low-voltage networks. However, these inverters are prone to overcurrent under grid faults. Physically increasing the inverter current capacity is not cost-effective to cope with complicated fault conditions. In this article, an adaptive fault ride-through (FRT) scheme based on instantaneous saturators and virtual negative- and zero-sequence resistances is proposed. It features not only overcurrent limitation by modifying voltage references, but also seamless transition between normal and grid fault conditions. The proposed FRT scheme is first analyzed from different aspects, including the virtual sequence resistances, grid short-circuit ratio, fault types, and fault levels. The virtual sequence resistances are then designed to be adaptive to ensure high voltage quality at the healthy phase. The proposed FRT scheme is verified by MATLAB/Simulink simulations under asymmetrical faults. A laboratory platform with a grid-connected 3kW GFM inverter is further constructed to demonstrate its effectiveness (a video of the experimental results under three asymmetrical faults is attached). © 1982-2012 IEEE.