Late non-fasting plasma glucose predicts cardiovascular mortality independent of hemoglobin A1c
- Authors: Wang, Yutang , Fang, Yan
- Date: 2022
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 12, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: It is unknown whether non-fasting plasma glucose (PG) is associated with cardiovascular disease (CVD) mortality. This study aimed to investigate this association in US adults. This study included adults from the National Health and Nutrition Examination Surveys from 1988 to 2014. Mortality outcomes were ascertained by linkage to the National Death Index records. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of PG for CVD mortality. Among 34,907 participants, 1956, 5564, and 27,387 had PG from participants in early non-fasting, late non-fasting, and fasting states, respectively (defined as a period since last calorie intake of 0–2.9, 3.0–7.9, or
- Authors: Wang, Yutang , Fang, Yan
- Date: 2022
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 12, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: It is unknown whether non-fasting plasma glucose (PG) is associated with cardiovascular disease (CVD) mortality. This study aimed to investigate this association in US adults. This study included adults from the National Health and Nutrition Examination Surveys from 1988 to 2014. Mortality outcomes were ascertained by linkage to the National Death Index records. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of PG for CVD mortality. Among 34,907 participants, 1956, 5564, and 27,387 had PG from participants in early non-fasting, late non-fasting, and fasting states, respectively (defined as a period since last calorie intake of 0–2.9, 3.0–7.9, or
CHIEF : clustering With higher-order motifs in big networks
- Xia, Feng, Yu, Shuo, Liu, Chengfei, Li, Jianxin, Lee, Ivan
- Authors: Xia, Feng , Yu, Shuo , Liu, Chengfei , Li, Jianxin , Lee, Ivan
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Network Science and Engineering Vol. 9, no. 3 (2022), p. 990-1005
- Full Text:
- Reviewed:
- Description: Clustering network vertices is an enabler of various applications such as social computing and Internet of Things. However, challenges arise for clustering when networks increase in scale. This paper proposes CHIEF (Clustering with HIgher-ordEr motiFs), a solution which consists of two motif clustering techniques: standard acceleration CHIEF-ST and approximate acceleration CHIEF-AP. Both algorithms firstly find the maximal $k$-edge-connected subgraphs within the target networks to lower the network scale by optimizing the network structure with maximal $k$-edge-connected subgraphs, and then use heterogeneous four-node motifs clustering in higher-order dense networks. For CHIEF-ST, we illustrate that all target motifs will be kept after this procedure when the minimum node degree of the target motif is equal or greater than $k$. For CHIEF-AP, we prove that the eigenvalues of the adjacency matrix and the Laplacian matrix are relatively stable after this step. CHIEF offers an improved efficiency of motif clustering for big networks, and it verifies higher-order motif significance. Experiments on real and synthetic networks demonstrate that the proposed solutions outperform baseline approaches in large network analysis, and higher-order motifs outperform traditional triangle motifs in clustering. © 2022 IEEE Computer Society. All rights reserved.
- Authors: Xia, Feng , Yu, Shuo , Liu, Chengfei , Li, Jianxin , Lee, Ivan
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Network Science and Engineering Vol. 9, no. 3 (2022), p. 990-1005
- Full Text:
- Reviewed:
- Description: Clustering network vertices is an enabler of various applications such as social computing and Internet of Things. However, challenges arise for clustering when networks increase in scale. This paper proposes CHIEF (Clustering with HIgher-ordEr motiFs), a solution which consists of two motif clustering techniques: standard acceleration CHIEF-ST and approximate acceleration CHIEF-AP. Both algorithms firstly find the maximal $k$-edge-connected subgraphs within the target networks to lower the network scale by optimizing the network structure with maximal $k$-edge-connected subgraphs, and then use heterogeneous four-node motifs clustering in higher-order dense networks. For CHIEF-ST, we illustrate that all target motifs will be kept after this procedure when the minimum node degree of the target motif is equal or greater than $k$. For CHIEF-AP, we prove that the eigenvalues of the adjacency matrix and the Laplacian matrix are relatively stable after this step. CHIEF offers an improved efficiency of motif clustering for big networks, and it verifies higher-order motif significance. Experiments on real and synthetic networks demonstrate that the proposed solutions outperform baseline approaches in large network analysis, and higher-order motifs outperform traditional triangle motifs in clustering. © 2022 IEEE Computer Society. All rights reserved.
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.
Declining tropical cyclone frequency under global warming
- Chand, Savin, Walsh, Kevin, Camargo, Suzana, Kossin, James, Tory, Kevin, Wehner, Michael, Chan, Johnny, Klotzbach, Philip, Dowdy, Andrew, Bell, Samuel, Ramsay, Hamish, Murakami, Hiroyuki
- Authors: Chand, Savin , Walsh, Kevin , Camargo, Suzana , Kossin, James , Tory, Kevin , Wehner, Michael , Chan, Johnny , Klotzbach, Philip , Dowdy, Andrew , Bell, Samuel , Ramsay, Hamish , Murakami, Hiroyuki
- Date: 2022
- Type: Text , Journal article
- Relation: Nature Climate Change Vol. 12, no. 7 (2022), p. 655-661
- Full Text:
- Reviewed:
- Description: Assessing the role of anthropogenic warming from temporally inhomogeneous historical data in the presence of large natural variability is difficult and has caused conflicting conclusions on detection and attribution of tropical cyclone (TC) trends. Here, using a reconstructed long-term proxy of annual TC numbers together with high-resolution climate model experiments, we show robust declining trends in the annual number of TCs at global and regional scales during the twentieth century. The Twentieth Century Reanalysis (20CR) dataset is used for reconstruction because, compared with other reanalyses, it assimilates only sea-level pressure fields rather than utilize all available observations in the troposphere, making it less sensitive to temporal inhomogeneities in the observations. It can also capture TC signatures from the pre-satellite era reasonably well. The declining trends found are consistent with the twentieth century weakening of the Hadley and Walker circulations, which make conditions for TC formation less favourable. © 2022, The Author(s).
- Authors: Chand, Savin , Walsh, Kevin , Camargo, Suzana , Kossin, James , Tory, Kevin , Wehner, Michael , Chan, Johnny , Klotzbach, Philip , Dowdy, Andrew , Bell, Samuel , Ramsay, Hamish , Murakami, Hiroyuki
- Date: 2022
- Type: Text , Journal article
- Relation: Nature Climate Change Vol. 12, no. 7 (2022), p. 655-661
- Full Text:
- Reviewed:
- Description: Assessing the role of anthropogenic warming from temporally inhomogeneous historical data in the presence of large natural variability is difficult and has caused conflicting conclusions on detection and attribution of tropical cyclone (TC) trends. Here, using a reconstructed long-term proxy of annual TC numbers together with high-resolution climate model experiments, we show robust declining trends in the annual number of TCs at global and regional scales during the twentieth century. The Twentieth Century Reanalysis (20CR) dataset is used for reconstruction because, compared with other reanalyses, it assimilates only sea-level pressure fields rather than utilize all available observations in the troposphere, making it less sensitive to temporal inhomogeneities in the observations. It can also capture TC signatures from the pre-satellite era reasonably well. The declining trends found are consistent with the twentieth century weakening of the Hadley and Walker circulations, which make conditions for TC formation less favourable. © 2022, The Author(s).
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.
Prediction of blast-induced ground vibration at a limestone quarry : an artificial intelligence approach
- Arthur, Clement, Bhatawdekar, Ramesh, Mohamad, Edy, Sabri, Mohanad, Bohra, Manish, Khandelwal, Manoj, Kwon, Sangki
- Authors: Arthur, Clement , Bhatawdekar, Ramesh , Mohamad, Edy , Sabri, Mohanad , Bohra, Manish , Khandelwal, Manoj , Kwon, Sangki
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: Ground vibration is one of the most unfavourable environmental effects of blasting activities, which can cause serious damage to neighboring homes and structures. As a result, effective forecasting of their severity is critical to controlling and reducing their recurrence. There are several conventional vibration predictor equations available proposed by different researchers but most of them are based on only two parameters, i.e., explosive charge used per delay and distance between blast face to the monitoring point. It is a well-known fact that blasting results are influenced by a number of blast design parameters, such as burden, spacing, powder factor, etc. but these are not being considered in any of the available conventional predictors and due to that they show a high error in predicting blast vibrations. Nowadays, artificial intelligence has been widely used in blast engineering. Thus, three artificial intelligence approaches, namely Gaussian process regression (GPR), extreme learning machine (ELM) and backpropagation neural network (BPNN) were used in this study to estimate ground vibration caused by blasting in Shree Cement Ras Limestone Mine in India. To achieve that aim, 101 blasting datasets with powder factor, average depth, distance, spacing, burden, charge weight, and stemming length as input parameters were collected from the mine site. For comparison purposes, a simple multivariate regression analysis (MVRA) model as well as, a nonparametric regression-based technique known as multivariate adaptive regression splines (MARS) was also constructed using the same datasets. This study serves as a foundational study for the comparison of GPR, BPNN, ELM, MARS and MVRA to ascertain their respective predictive performances. Eighty-one (81) datasets representing 80% of the total blasting datasets were used to construct and train the various predictive models while 20 data samples (20%) were utilized for evaluating the predictive capabilities of the developed predictive models. Using the testing datasets, major indicators of performance, namely mean squared error (MSE), variance accounted for (VAF), correlation coefficient (R) and coefficient of determination (R2) were compared as statistical evaluators of model performance. This study revealed that the GPR model exhibited superior predictive capability in comparison to the MARS, BPNN, ELM and MVRA. The GPR model showed the highest VAF, R and R2 values of 99.1728%, 0.9985 and 0.9971 respectively and the lowest MSE of 0.0903. As a result, the blast engineer can employ GPR as an effective and appropriate method for forecasting blast-induced ground vibration. © 2022 by the authors.
- Authors: Arthur, Clement , Bhatawdekar, Ramesh , Mohamad, Edy , Sabri, Mohanad , Bohra, Manish , Khandelwal, Manoj , Kwon, Sangki
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: Ground vibration is one of the most unfavourable environmental effects of blasting activities, which can cause serious damage to neighboring homes and structures. As a result, effective forecasting of their severity is critical to controlling and reducing their recurrence. There are several conventional vibration predictor equations available proposed by different researchers but most of them are based on only two parameters, i.e., explosive charge used per delay and distance between blast face to the monitoring point. It is a well-known fact that blasting results are influenced by a number of blast design parameters, such as burden, spacing, powder factor, etc. but these are not being considered in any of the available conventional predictors and due to that they show a high error in predicting blast vibrations. Nowadays, artificial intelligence has been widely used in blast engineering. Thus, three artificial intelligence approaches, namely Gaussian process regression (GPR), extreme learning machine (ELM) and backpropagation neural network (BPNN) were used in this study to estimate ground vibration caused by blasting in Shree Cement Ras Limestone Mine in India. To achieve that aim, 101 blasting datasets with powder factor, average depth, distance, spacing, burden, charge weight, and stemming length as input parameters were collected from the mine site. For comparison purposes, a simple multivariate regression analysis (MVRA) model as well as, a nonparametric regression-based technique known as multivariate adaptive regression splines (MARS) was also constructed using the same datasets. This study serves as a foundational study for the comparison of GPR, BPNN, ELM, MARS and MVRA to ascertain their respective predictive performances. Eighty-one (81) datasets representing 80% of the total blasting datasets were used to construct and train the various predictive models while 20 data samples (20%) were utilized for evaluating the predictive capabilities of the developed predictive models. Using the testing datasets, major indicators of performance, namely mean squared error (MSE), variance accounted for (VAF), correlation coefficient (R) and coefficient of determination (R2) were compared as statistical evaluators of model performance. This study revealed that the GPR model exhibited superior predictive capability in comparison to the MARS, BPNN, ELM and MVRA. The GPR model showed the highest VAF, R and R2 values of 99.1728%, 0.9985 and 0.9971 respectively and the lowest MSE of 0.0903. As a result, the blast engineer can employ GPR as an effective and appropriate method for forecasting blast-induced ground vibration. © 2022 by the authors.
Mineral texture identification using local binary patterns equipped with a Classification and Recognition Updating System (CARUS)
- Aligholi, Saeed, Khajavi, Reza, Khandelwal, Manoj, Armaghani, Danial
- Authors: Aligholi, Saeed , Khajavi, Reza , Khandelwal, Manoj , Armaghani, Danial
- Date: 2022
- Type: Text , Journal article
- Relation: Sustainability (Switzerland) Vol. 14, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: In this paper, a rotation-invariant local binary pattern operator equipped with a local contrast measure (riLBPc) is employed to characterize the type of mineral twinning by inspecting the texture properties of crystals. The proposed method uses photomicrographs of minerals and produces LBP histograms, which might be compared with those included in a predefined database using the Kullback–Leibler divergence-based metric. The paper proposes a new LBP-based scheme for concurrent classification and recognition tasks, followed by a novel online updating routine to enhance the locally developed mineral LBP database. The discriminatory power of the proposed Classification and Recognition Updating System (CARUS) for texture identification scheme is verified for plagioclase, orthoclase, microcline, and quartz minerals with sensitivity (TPR) near 99.9%, 87%, 99.9%, and 96%, and accuracy (ACC) equal to about 99%, 97%, 99%, and 99%, respectively. According to the results, the introduced CARUS system is a promising approach that can be applied in a variety of different fields dealing with classification and feature recognition tasks. © 2022 by the authors.
- Authors: Aligholi, Saeed , Khajavi, Reza , Khandelwal, Manoj , Armaghani, Danial
- Date: 2022
- Type: Text , Journal article
- Relation: Sustainability (Switzerland) Vol. 14, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: In this paper, a rotation-invariant local binary pattern operator equipped with a local contrast measure (riLBPc) is employed to characterize the type of mineral twinning by inspecting the texture properties of crystals. The proposed method uses photomicrographs of minerals and produces LBP histograms, which might be compared with those included in a predefined database using the Kullback–Leibler divergence-based metric. The paper proposes a new LBP-based scheme for concurrent classification and recognition tasks, followed by a novel online updating routine to enhance the locally developed mineral LBP database. The discriminatory power of the proposed Classification and Recognition Updating System (CARUS) for texture identification scheme is verified for plagioclase, orthoclase, microcline, and quartz minerals with sensitivity (TPR) near 99.9%, 87%, 99.9%, and 96%, and accuracy (ACC) equal to about 99%, 97%, 99%, and 99%, respectively. According to the results, the introduced CARUS system is a promising approach that can be applied in a variety of different fields dealing with classification and feature recognition tasks. © 2022 by the authors.
Phylodynamic signatures in the emergence of community-associated MRSA
- Steinig, Eike, Aglua, Izzard, Duchene, Sebastian, Meehan, Michael, Yoannes, Mition, Firth, Cadhla, Jaworski, Jan, Drekore, Jimmy, Urakoko, Bohu, Poka, Harry, Wurr, Clive, Ebos, Eri, Nangen, David, Müller, Elke, Mulvey, Peter, Jackson, Charlene, Blomfeldt, Anita, Aamot, Hege, Laman, Moses, Manning, Laurens, Earls, Megan, Coleman, David, Greenhill, Andrew, Ford, Rebecca, Stegger, Marc, Syed, Muhammad, Jamil, Bushra, Monecke, Stefan, Ehricht, Ralf, Smith, Simon, Pomat, William, Horwood, Paul, Tong, Steven, McBryde, Emma
- Authors: Steinig, Eike , Aglua, Izzard , Duchene, Sebastian , Meehan, Michael , Yoannes, Mition , Firth, Cadhla , Jaworski, Jan , Drekore, Jimmy , Urakoko, Bohu , Poka, Harry , Wurr, Clive , Ebos, Eri , Nangen, David , Müller, Elke , Mulvey, Peter , Jackson, Charlene , Blomfeldt, Anita , Aamot, Hege , Laman, Moses , Manning, Laurens , Earls, Megan , Coleman, David , Greenhill, Andrew , Ford, Rebecca , Stegger, Marc , Syed, Muhammad , Jamil, Bushra , Monecke, Stefan , Ehricht, Ralf , Smith, Simon , Pomat, William , Horwood, Paul , Tong, Steven , McBryde, Emma
- Date: 2022
- Type: Text , Journal article
- Relation: Proceedings of the National Academy of Sciences of the United States of America Vol. 119, no. 45 (2022), p.
- Full Text:
- Reviewed:
- Description: Community-associated, methicillin-resistant Staphylococcus aureus (MRSA) lineages have emerged in many geographically distinct regions around the world during the past 30 y. Here, we apply consistent phylodynamic methods across multiple community-associated MRSA lineages to describe and contrast their patterns of emergence and dissemination. We generated whole-genome sequencing data for the Australian sequence type (ST) ST93-MRSA-IV from remote communities in Far North Queensland and Papua New Guinea, and the Bengal Bay ST772-MRSA-V clone from metropolitan communities in Pakistan. Increases in the effective reproduction number (Re) and sustained transmission (Re > 1) coincided with spread of progenitor methicillin-susceptible S. aureus (MSSA) in remote northern Australian populations, dissemination of the ST93-MRSA-IV genotype into population centers on the Australian East Coast, and subsequent importation into the highlands of Papua New Guinea and Far North Queensland. Applying the same phylodynamic methods to existing lineage datasets, we identified common signatures of epidemic growth in the emergence and epidemiological trajectory of community-associated S. aureus lineages from America, Asia, Australasia, and Europe. Surges in Re were observed at the divergence of antibiotic-resistant strains, coinciding with their establishment in regional population centers. Epidemic growth was also observed among drug-resistant MSSA clades in Africa and northern Australia. Our data suggest that the emergence of community-associated MRSA in the late 20th century was driven by a combination of antibiotic-resistant genotypes and host epidemiology, leading to abrupt changes in lineage-wide transmission dynamics and sustained transmission in regional population centers. Copyright © 2022 the Author(s).
- Authors: Steinig, Eike , Aglua, Izzard , Duchene, Sebastian , Meehan, Michael , Yoannes, Mition , Firth, Cadhla , Jaworski, Jan , Drekore, Jimmy , Urakoko, Bohu , Poka, Harry , Wurr, Clive , Ebos, Eri , Nangen, David , Müller, Elke , Mulvey, Peter , Jackson, Charlene , Blomfeldt, Anita , Aamot, Hege , Laman, Moses , Manning, Laurens , Earls, Megan , Coleman, David , Greenhill, Andrew , Ford, Rebecca , Stegger, Marc , Syed, Muhammad , Jamil, Bushra , Monecke, Stefan , Ehricht, Ralf , Smith, Simon , Pomat, William , Horwood, Paul , Tong, Steven , McBryde, Emma
- Date: 2022
- Type: Text , Journal article
- Relation: Proceedings of the National Academy of Sciences of the United States of America Vol. 119, no. 45 (2022), p.
- Full Text:
- Reviewed:
- Description: Community-associated, methicillin-resistant Staphylococcus aureus (MRSA) lineages have emerged in many geographically distinct regions around the world during the past 30 y. Here, we apply consistent phylodynamic methods across multiple community-associated MRSA lineages to describe and contrast their patterns of emergence and dissemination. We generated whole-genome sequencing data for the Australian sequence type (ST) ST93-MRSA-IV from remote communities in Far North Queensland and Papua New Guinea, and the Bengal Bay ST772-MRSA-V clone from metropolitan communities in Pakistan. Increases in the effective reproduction number (Re) and sustained transmission (Re > 1) coincided with spread of progenitor methicillin-susceptible S. aureus (MSSA) in remote northern Australian populations, dissemination of the ST93-MRSA-IV genotype into population centers on the Australian East Coast, and subsequent importation into the highlands of Papua New Guinea and Far North Queensland. Applying the same phylodynamic methods to existing lineage datasets, we identified common signatures of epidemic growth in the emergence and epidemiological trajectory of community-associated S. aureus lineages from America, Asia, Australasia, and Europe. Surges in Re were observed at the divergence of antibiotic-resistant strains, coinciding with their establishment in regional population centers. Epidemic growth was also observed among drug-resistant MSSA clades in Africa and northern Australia. Our data suggest that the emergence of community-associated MRSA in the late 20th century was driven by a combination of antibiotic-resistant genotypes and host epidemiology, leading to abrupt changes in lineage-wide transmission dynamics and sustained transmission in regional population centers. Copyright © 2022 the Author(s).
Source text pre-editing versus target text post-editing in using Google Translate to provide health services to culturally and linguistically diverse clients
- Liang, Yingping, Han, Weifeng
- Authors: Liang, Yingping , Han, Weifeng
- Date: 2022
- Type: Text , Journal article
- Relation: Science, Engineering and Health Studies Vol. 16, no. (2022), p.
- Full Text:
- Reviewed:
- Description: The study reports early-stage research on the efficacy of using the source text pre-editing (STPE) method to improve translation accuracy and cost-efficiency in conjunction with Google Translate as compared to the traditional target text post-editing (TTPE) method. Based on fluency, accuracy, cultural appropriateness and error severity, preliminary results show that STPE significantly increased the meaning adequacy and accuracy in translation as compared to TTPE. STPE also saved significant time, and, therefore, was more cost-efficient, as compared to TTPE. The results suggested a fundamentally new and more efficient method to the better employment of machine translation that differed from existing approaches. Governments and health providers may use the STPE plus Google Translate method more widely to reduce translation inaccuracy as well as to increase cost-efficiency, and provide more accessible information to culturally and linguistically diverse clients. © 2022 Silpakorn University. All Rights Reserved.
- Authors: Liang, Yingping , Han, Weifeng
- Date: 2022
- Type: Text , Journal article
- Relation: Science, Engineering and Health Studies Vol. 16, no. (2022), p.
- Full Text:
- Reviewed:
- Description: The study reports early-stage research on the efficacy of using the source text pre-editing (STPE) method to improve translation accuracy and cost-efficiency in conjunction with Google Translate as compared to the traditional target text post-editing (TTPE) method. Based on fluency, accuracy, cultural appropriateness and error severity, preliminary results show that STPE significantly increased the meaning adequacy and accuracy in translation as compared to TTPE. STPE also saved significant time, and, therefore, was more cost-efficient, as compared to TTPE. The results suggested a fundamentally new and more efficient method to the better employment of machine translation that differed from existing approaches. Governments and health providers may use the STPE plus Google Translate method more widely to reduce translation inaccuracy as well as to increase cost-efficiency, and provide more accessible information to culturally and linguistically diverse clients. © 2022 Silpakorn University. All Rights Reserved.
Familiarity-based collaborative team recognition in academic social networks
- Yu, Shuo, Xia, Feng, Zhang, Chen, Wei, Haoran, Keogh, Kathleen, Chen, Honglong
- Authors: Yu, Shuo , Xia, Feng , Zhang, Chen , Wei, Haoran , Keogh, Kathleen , Chen, Honglong
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Computational Social Systems Vol. 9, no. 5 (2022), p. 1432-1445
- Full Text:
- Reviewed:
- Description: Collaborative teamwork is key to major scientific discoveries. However, the prevalence of collaboration among researchers makes team recognition increasingly challenging. Previous studies have demonstrated that people are more likely to collaborate with individuals they are familiar with. In this work, we employ the definition of familiarity and then propose faMiliarity-based cOllaborative Team recOgnition (MOTO) algorithm to recognize collaborative teams. MOTO calculates the shortest distance matrix within the global collaboration network and the local density of each node. Central team members are initially recognized based on local density. Then, MOTO recognizes the remaining team members by using the familiarity metric and shortest distance matrix. Extensive experiments have been conducted upon a large-scale dataset. The experimental results show that compared with baseline methods, MOTO can recognize the largest number of teams. The teams recognized by the MOTO possess more cohesive team structures and lower team communication costs compared with other methods. MOTO utilizes familiarity in team recognition to identify cohesive academic teams. The recognized teams are in line with real-world collaborative teamwork patterns. Based on team recognition using MOTO, the research team structure and performance are further analyzed for given time periods. The number of teams that consist of members from different institutions increases gradually. Such teams are found to perform better in comparison with those whose members are from the same institution. © 2014 IEEE.
- Authors: Yu, Shuo , Xia, Feng , Zhang, Chen , Wei, Haoran , Keogh, Kathleen , Chen, Honglong
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Computational Social Systems Vol. 9, no. 5 (2022), p. 1432-1445
- Full Text:
- Reviewed:
- Description: Collaborative teamwork is key to major scientific discoveries. However, the prevalence of collaboration among researchers makes team recognition increasingly challenging. Previous studies have demonstrated that people are more likely to collaborate with individuals they are familiar with. In this work, we employ the definition of familiarity and then propose faMiliarity-based cOllaborative Team recOgnition (MOTO) algorithm to recognize collaborative teams. MOTO calculates the shortest distance matrix within the global collaboration network and the local density of each node. Central team members are initially recognized based on local density. Then, MOTO recognizes the remaining team members by using the familiarity metric and shortest distance matrix. Extensive experiments have been conducted upon a large-scale dataset. The experimental results show that compared with baseline methods, MOTO can recognize the largest number of teams. The teams recognized by the MOTO possess more cohesive team structures and lower team communication costs compared with other methods. MOTO utilizes familiarity in team recognition to identify cohesive academic teams. The recognized teams are in line with real-world collaborative teamwork patterns. Based on team recognition using MOTO, the research team structure and performance are further analyzed for given time periods. The number of teams that consist of members from different institutions increases gradually. Such teams are found to perform better in comparison with those whose members are from the same institution. © 2014 IEEE.
A scoping review of community-based adult suicide prevention initiatives in rural and regional australia
- Dabkowski, Elissa, Porter, Joanne, Barbagallo, Michael, Prokopiv, Valerie, Jackson, Megan
- Authors: Dabkowski, Elissa , Porter, Joanne , Barbagallo, Michael , Prokopiv, Valerie , Jackson, Megan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 19, no. 12 (2022), p.
- Full Text:
- Reviewed:
- Description: The need for continued research into suicide prevention strategies is undeniable, with high global statistics demonstrating the urgency of this public health issue. In Australia, approximately 3000 people end their lives each year, with those living in rural and regional areas identified as having a higher risk of dying by suicide. Due to decreased access and support services in these areas, community-based suicide prevention initiatives provide opportunities to educate and support local communities. A scoping review was conducted to explore the literature pertaining to such programs in rural and/or regional communities in Australia. This review follows the five-stage Arksey and O’Malley (2005) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. Nine databases were searched, from which studies were considered eligible if suicide prevention programs were community-based and catered for adults (aged
- Authors: Dabkowski, Elissa , Porter, Joanne , Barbagallo, Michael , Prokopiv, Valerie , Jackson, Megan
- Date: 2022
- Type: Text , Journal article , Review
- Relation: International Journal of Environmental Research and Public Health Vol. 19, no. 12 (2022), p.
- Full Text:
- Reviewed:
- Description: The need for continued research into suicide prevention strategies is undeniable, with high global statistics demonstrating the urgency of this public health issue. In Australia, approximately 3000 people end their lives each year, with those living in rural and regional areas identified as having a higher risk of dying by suicide. Due to decreased access and support services in these areas, community-based suicide prevention initiatives provide opportunities to educate and support local communities. A scoping review was conducted to explore the literature pertaining to such programs in rural and/or regional communities in Australia. This review follows the five-stage Arksey and O’Malley (2005) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. Nine databases were searched, from which studies were considered eligible if suicide prevention programs were community-based and catered for adults (aged
The effect of the petrography, mineralogy, and physical properties of limestone on Mode I fracture toughness under dry and saturated conditions
- Safari Farrokhad, Sajad, Lashkaripour, Gholam, Hafezi Moghaddas, Nasser, Aligholi, Saeed, Sabri, Mohanad
- Authors: Safari Farrokhad, Sajad , Lashkaripour, Gholam , Hafezi Moghaddas, Nasser , Aligholi, Saeed , Sabri, Mohanad
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: Determining the fracture toughness of rock materials is a challenging, costly, and time-consuming task, as fabricating a sharp crack in rock specimens will lead to failure of the specimen, and preparing specimens for determining the rock fracture toughness requires special equipment. In this paper, the relationship between mode I fracture toughness (KIC) with the rock index properties, mineralogy, and petrography of limestone is investigated using simple nonlinear and simple/multiple linear regression analyses to provide alternative methods for estimating the fracture toughness of limestones. The cracked chevron notched Brazilian disk (CCNBD) method was applied to 30 limestones with different petrographic and mineralogical characteristics under both dry and saturated conditions. Moreover, the index properties of the same rocks, including the density, porosity, electrical resistivity, P and S wave velocities, Schmidt rebound hardness, and point load index, were determined. According to the statistical analyses, a classification based on the petrography of the studied rocks was required for predicting the fracture toughness from index properties. By classifying the limestones based on petrography, reliable relationships with high correlations can be introduced for estimating the fracture toughness of different limestones using simple tests. © 2022 by the authors.
- Authors: Safari Farrokhad, Sajad , Lashkaripour, Gholam , Hafezi Moghaddas, Nasser , Aligholi, Saeed , Sabri, Mohanad
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 18 (2022), p.
- Full Text:
- Reviewed:
- Description: Determining the fracture toughness of rock materials is a challenging, costly, and time-consuming task, as fabricating a sharp crack in rock specimens will lead to failure of the specimen, and preparing specimens for determining the rock fracture toughness requires special equipment. In this paper, the relationship between mode I fracture toughness (KIC) with the rock index properties, mineralogy, and petrography of limestone is investigated using simple nonlinear and simple/multiple linear regression analyses to provide alternative methods for estimating the fracture toughness of limestones. The cracked chevron notched Brazilian disk (CCNBD) method was applied to 30 limestones with different petrographic and mineralogical characteristics under both dry and saturated conditions. Moreover, the index properties of the same rocks, including the density, porosity, electrical resistivity, P and S wave velocities, Schmidt rebound hardness, and point load index, were determined. According to the statistical analyses, a classification based on the petrography of the studied rocks was required for predicting the fracture toughness from index properties. By classifying the limestones based on petrography, reliable relationships with high correlations can be introduced for estimating the fracture toughness of different limestones using simple tests. © 2022 by the authors.
Intermittency of rock fractured surfaces : a power law
- Aligholi, Saeed, Khandelwal, Manoj
- Authors: Aligholi, Saeed , Khandelwal, Manoj
- Date: 2022
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 14, no. 22 (2022), p.
- Full Text:
- Reviewed:
- Description: Roughness of rock fractured surfaces is one of the most important factors controlling fluid flow in rock masses. Roughness quantification is of prime importance for modelling the flow of ground waters as well as reservoir fluid mechanics. In this study, with the aid of high-resolution 3D X-ray CT scanning and image processing techniques, the roughness of four different rock types is reconstructed with a resolution of 16.5 microns. Moreover, the correlation and structure functions are used to analyse height fluctuations as well as statistical intermittency of the studied rock fractured surfaces. It is observed that at length scales smaller than a critical length scale, fractures surfaces are correlated and show multifractality. Monofractals are neither intermittent nor correlated; hence, a meaningful link between statistical intermittency and the correlation function of multifractals is expected. However, a model that considers this relationship and predicts multifractal spectra of disordered systems is still missing. A simple power law that can exactly forecast the multiscaling spectrum of rock fracture process zone is being introduced. It is explained how the exponent of this power function
- Authors: Aligholi, Saeed , Khandelwal, Manoj
- Date: 2022
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 14, no. 22 (2022), p.
- Full Text:
- Reviewed:
- Description: Roughness of rock fractured surfaces is one of the most important factors controlling fluid flow in rock masses. Roughness quantification is of prime importance for modelling the flow of ground waters as well as reservoir fluid mechanics. In this study, with the aid of high-resolution 3D X-ray CT scanning and image processing techniques, the roughness of four different rock types is reconstructed with a resolution of 16.5 microns. Moreover, the correlation and structure functions are used to analyse height fluctuations as well as statistical intermittency of the studied rock fractured surfaces. It is observed that at length scales smaller than a critical length scale, fractures surfaces are correlated and show multifractality. Monofractals are neither intermittent nor correlated; hence, a meaningful link between statistical intermittency and the correlation function of multifractals is expected. However, a model that considers this relationship and predicts multifractal spectra of disordered systems is still missing. A simple power law that can exactly forecast the multiscaling spectrum of rock fracture process zone is being introduced. It is explained how the exponent of this power function
An evaluation of temporal and club angle parameters during golf swings using low cost video analyses packages
- Hunter, Henry, Ugbolue, Ukadike, Sorbie, Graeme, Lam, Wing-Kai, Grace, Fergal, Dello Iacono, Antonio, Liang, Minjun, Dutheil, Frederic, Gu, Yaodong, Baker, Julien
- Authors: Hunter, Henry , Ugbolue, Ukadike , Sorbie, Graeme , Lam, Wing-Kai , Grace, Fergal , Dello Iacono, Antonio , Liang, Minjun , Dutheil, Frederic , Gu, Yaodong , Baker, Julien
- Date: 2022
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 12, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: The purpose of this study was to compare swing time and golf club angle parameters during golf swings using three, two dimensional (2D) low cost, Augmented-Video-based-Portable-Systems (AVPS) (Kinovea, SiliconCoach Pro, SiliconCoach Live). Twelve right-handed golfers performed three golf swings whilst being recorded by a high-speed 2D video camera. Footage was then analysed using AVPS-software and the results compared using both descriptive and inferential statistics. There were no significant differences for swing time and the golf phase measurements between the 2D and 3D software comparisons. In general, the results showed a high Intra class Correlation Coefficient (ICC > 0.929) and Cronbach’s Coefficient Alpha (CCA > 0.924) reliability for both the kinematic and temporal parameters. The inter-rater reliability test for the swing time and kinematic golf phase measurements on average were strong. Irrespective of the AVPS software investigated, the cost effective AVPS can produce reliable output measures that benefit golf analyses. © 2022, Crown.
- Authors: Hunter, Henry , Ugbolue, Ukadike , Sorbie, Graeme , Lam, Wing-Kai , Grace, Fergal , Dello Iacono, Antonio , Liang, Minjun , Dutheil, Frederic , Gu, Yaodong , Baker, Julien
- Date: 2022
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 12, no. 1 (2022), p.
- Full Text:
- Reviewed:
- Description: The purpose of this study was to compare swing time and golf club angle parameters during golf swings using three, two dimensional (2D) low cost, Augmented-Video-based-Portable-Systems (AVPS) (Kinovea, SiliconCoach Pro, SiliconCoach Live). Twelve right-handed golfers performed three golf swings whilst being recorded by a high-speed 2D video camera. Footage was then analysed using AVPS-software and the results compared using both descriptive and inferential statistics. There were no significant differences for swing time and the golf phase measurements between the 2D and 3D software comparisons. In general, the results showed a high Intra class Correlation Coefficient (ICC > 0.929) and Cronbach’s Coefficient Alpha (CCA > 0.924) reliability for both the kinematic and temporal parameters. The inter-rater reliability test for the swing time and kinematic golf phase measurements on average were strong. Irrespective of the AVPS software investigated, the cost effective AVPS can produce reliable output measures that benefit golf analyses. © 2022, Crown.
Autonomous adaptation to climate-driven change in marine biodiversity in a global marine hotspot
- Pecl, Gretta, Ogier, Emily, Jennings, Sarah, van Putten, Ingrid, Crawford, Christine, Fogarty, Hannah, Frusher, Stewart, Hobday, Alistair, Keane, John, Lee, Emma, MacLeod, Catriona, Mundy, Craig, Stuart-Smith, Jemima, Tracey, Sean
- Authors: Pecl, Gretta , Ogier, Emily , Jennings, Sarah , van Putten, Ingrid , Crawford, Christine , Fogarty, Hannah , Frusher, Stewart , Hobday, Alistair , Keane, John , Lee, Emma , MacLeod, Catriona , Mundy, Craig , Stuart-Smith, Jemima , Tracey, Sean
- Date: 2019
- Type: Text , Journal article
- Relation: Ambio Vol. 48, no. 12 (2019), p. 1498-1515
- Full Text:
- Reviewed:
- Description: While governments and natural resource managers grapple with how to respond to climatic changes, many marine-dependent individuals, organisations and user-groups in fast-changing regions of the world are already adjusting their behaviour to accommodate these. However, we have little information on the nature of these autonomous adaptations that are being initiated by resource user-groups. The east coast of Tasmania, Australia, is one of the world’s fastest warming marine regions with extensive climate-driven changes in biodiversity already observed. We present and compare examples of autonomous adaptations from marine users of the region to provide insights into factors that may have constrained or facilitated the available range of autonomous adaptation options and discuss potential interactions with governmental planned adaptations. We aim to support effective adaptation by identifying the suite of changes that marine users are making largely without government or management intervention, i.e. autonomous adaptations, to better understand these and their potential interactions with formal adaptation strategies. © 2019, Royal Swedish Academy of Sciences.
- Authors: Pecl, Gretta , Ogier, Emily , Jennings, Sarah , van Putten, Ingrid , Crawford, Christine , Fogarty, Hannah , Frusher, Stewart , Hobday, Alistair , Keane, John , Lee, Emma , MacLeod, Catriona , Mundy, Craig , Stuart-Smith, Jemima , Tracey, Sean
- Date: 2019
- Type: Text , Journal article
- Relation: Ambio Vol. 48, no. 12 (2019), p. 1498-1515
- Full Text:
- Reviewed:
- Description: While governments and natural resource managers grapple with how to respond to climatic changes, many marine-dependent individuals, organisations and user-groups in fast-changing regions of the world are already adjusting their behaviour to accommodate these. However, we have little information on the nature of these autonomous adaptations that are being initiated by resource user-groups. The east coast of Tasmania, Australia, is one of the world’s fastest warming marine regions with extensive climate-driven changes in biodiversity already observed. We present and compare examples of autonomous adaptations from marine users of the region to provide insights into factors that may have constrained or facilitated the available range of autonomous adaptation options and discuss potential interactions with governmental planned adaptations. We aim to support effective adaptation by identifying the suite of changes that marine users are making largely without government or management intervention, i.e. autonomous adaptations, to better understand these and their potential interactions with formal adaptation strategies. © 2019, Royal Swedish Academy of Sciences.
The role of late-night infotainment comedy in communicating climate change consensus
- Clarke, Edward, Klas, Anna, Stevenson, Joshua, Kothe, E
- Authors: Clarke, Edward , Klas, Anna , Stevenson, Joshua , Kothe, E
- Date: 2022
- Type: Text , Journal article
- Relation: Environmental Communication Vol. 16, no. 3 (2022), p. 289-295
- Full Text:
- Reviewed:
- Description: Climate change is a politically-polarized issue, with conservatives less likely than liberals to support mitigation and adaptation policies needed to reduce its impacts. This study aimed to examine whether John Oliver’s “A Mathematically Representative Climate Change Debate” clip on his program Last Week Tonight polarized or depolarized a politically-diverse audience on climate policy support and behavioral intentions. One hundred and fifty-nine participants, recruited via Amazon MTurk (94 female, 64 male, one not stated, Mage = 51.07, SDage = 16.35), were presented with either John Oliver’s climate change consensus clip, or a humorous video unrelated to climate change. Although the climate change consensus clip did not reduce polarization on mitigation policy support (or increase it), relative to a control, it resulted in larger polarization on support for adaptation policies, and higher climate action intentions among liberals but not conservatives. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
- Authors: Clarke, Edward , Klas, Anna , Stevenson, Joshua , Kothe, E
- Date: 2022
- Type: Text , Journal article
- Relation: Environmental Communication Vol. 16, no. 3 (2022), p. 289-295
- Full Text:
- Reviewed:
- Description: Climate change is a politically-polarized issue, with conservatives less likely than liberals to support mitigation and adaptation policies needed to reduce its impacts. This study aimed to examine whether John Oliver’s “A Mathematically Representative Climate Change Debate” clip on his program Last Week Tonight polarized or depolarized a politically-diverse audience on climate policy support and behavioral intentions. One hundred and fifty-nine participants, recruited via Amazon MTurk (94 female, 64 male, one not stated, Mage = 51.07, SDage = 16.35), were presented with either John Oliver’s climate change consensus clip, or a humorous video unrelated to climate change. Although the climate change consensus clip did not reduce polarization on mitigation policy support (or increase it), relative to a control, it resulted in larger polarization on support for adaptation policies, and higher climate action intentions among liberals but not conservatives. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
Morally excused but socially excluded : denying agency through the defense of mental impairment
- De Vel-Palumbo, Melissa, Ferguson, Rose, Schein, Chelsea, Chang, Melissa, Bastian, Brock
- Authors: De Vel-Palumbo, Melissa , Ferguson, Rose , Schein, Chelsea , Chang, Melissa , Bastian, Brock
- Date: 2022
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 17, no. 7 July (2022), p.
- Full Text:
- Reviewed:
- Description: Defendants can deny they have agency, and thus responsibility, for a crime by using a defense of mental impairment. We argue that although this strategy may help defendants evade blame, it may carry longer-term social costs, as lay people's perceptions of a person's agency might determine some of the moral rights they grant them. Three randomized between-group experiments (N = 1601) used online vignettes to examine lay perceptions of a hypothetical defendant using a defense of mental impairment (versus a guilty plea). We find that using a defense of mental impairment significantly reduces responsibility, blame, and punitiveness relative to a guilty plea, and these judgments are mediated by perceptions of reduced moral agency. However, after serving their respective sentences, those using the defense are sometimes conferred fewer rights, as reduced agency corresponds to an increase in perceived dangerousness. Our findings were found to be robust across different types of mental impairment, offences/sentences, and using both manipulated and measured agency. The findings have implications for defendants claiming reduced agency through legal defenses, as well as for the broader study of moral rights and mind perception. © 2022 de Vel-Palumbo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Authors: De Vel-Palumbo, Melissa , Ferguson, Rose , Schein, Chelsea , Chang, Melissa , Bastian, Brock
- Date: 2022
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 17, no. 7 July (2022), p.
- Full Text:
- Reviewed:
- Description: Defendants can deny they have agency, and thus responsibility, for a crime by using a defense of mental impairment. We argue that although this strategy may help defendants evade blame, it may carry longer-term social costs, as lay people's perceptions of a person's agency might determine some of the moral rights they grant them. Three randomized between-group experiments (N = 1601) used online vignettes to examine lay perceptions of a hypothetical defendant using a defense of mental impairment (versus a guilty plea). We find that using a defense of mental impairment significantly reduces responsibility, blame, and punitiveness relative to a guilty plea, and these judgments are mediated by perceptions of reduced moral agency. However, after serving their respective sentences, those using the defense are sometimes conferred fewer rights, as reduced agency corresponds to an increase in perceived dangerousness. Our findings were found to be robust across different types of mental impairment, offences/sentences, and using both manipulated and measured agency. The findings have implications for defendants claiming reduced agency through legal defenses, as well as for the broader study of moral rights and mind perception. © 2022 de Vel-Palumbo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Inter-relationships between ADHD, ODD and impulsivity dimensions in emerging adults revealed by network analysis: extending the ‘trait impulsivity hypothesis’
- Gomez, Rapson, Stavropoulos, Vasileios, Watson, Shaun, Brown, Taylor, Chen, Wai
- Authors: Gomez, Rapson , Stavropoulos, Vasileios , Watson, Shaun , Brown, Taylor , Chen, Wai
- Date: 2022
- Type: Text , Journal article
- Relation: Heliyon Vol. 8, no. 10 (2022), p.
- Full Text:
- Reviewed:
- Description: Background: The trait-impulsivity hypothesis posits impulsivity as the underlying substrate of Attention-deficit/hyperactivity disorder (ADHD) and Oppositional defiant disorder (ODD) symptom expressions. The current study applied network analysis to evaluate the inter-relationships of dimensions within ADHD (inattention and hyperactivity/impulsivity) and ODD (anger/irritable, vindictiveness, and argumentative/defiant behavior) with components of impulsivity as captured by the UPPS-P model (negative urgency, lack of premeditation, lack of perseverance, sensation seeking, and positive urgency). Method: A total of 324 emerging adults (women = 246) from the general community completed questionnaires covering these dimensions. Results: Our findings showed that the ADHD and ODD dimensions were associated differentially with different types of impulsivity, in their unique patterns of network connectivities, a possibility that has had little attention in the trait-impulsivity hypothesis literature. Conclusions: This study is the first to tease out the unique associations of the ADHD and ODD dimensions with different types of impulsivity, and in that way provide new contributions to our understanding of the existing trait impulsivity theory. Our findings would be especially relevant to those interested in understanding how different dimensions of trait impulsivity underly the ADHD and ODD dimensions. © 2022 The Authors
- Authors: Gomez, Rapson , Stavropoulos, Vasileios , Watson, Shaun , Brown, Taylor , Chen, Wai
- Date: 2022
- Type: Text , Journal article
- Relation: Heliyon Vol. 8, no. 10 (2022), p.
- Full Text:
- Reviewed:
- Description: Background: The trait-impulsivity hypothesis posits impulsivity as the underlying substrate of Attention-deficit/hyperactivity disorder (ADHD) and Oppositional defiant disorder (ODD) symptom expressions. The current study applied network analysis to evaluate the inter-relationships of dimensions within ADHD (inattention and hyperactivity/impulsivity) and ODD (anger/irritable, vindictiveness, and argumentative/defiant behavior) with components of impulsivity as captured by the UPPS-P model (negative urgency, lack of premeditation, lack of perseverance, sensation seeking, and positive urgency). Method: A total of 324 emerging adults (women = 246) from the general community completed questionnaires covering these dimensions. Results: Our findings showed that the ADHD and ODD dimensions were associated differentially with different types of impulsivity, in their unique patterns of network connectivities, a possibility that has had little attention in the trait-impulsivity hypothesis literature. Conclusions: This study is the first to tease out the unique associations of the ADHD and ODD dimensions with different types of impulsivity, and in that way provide new contributions to our understanding of the existing trait impulsivity theory. Our findings would be especially relevant to those interested in understanding how different dimensions of trait impulsivity underly the ADHD and ODD dimensions. © 2022 The Authors
An observation of the changing trends of a river channel pattern in Bangladesh using satellite images
- Wahiduzzaman, Md, Yeasmin, Alea
- Authors: Wahiduzzaman, Md , Yeasmin, Alea
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 22 (2022), p.
- Full Text:
- Reviewed:
- Description: The shifting pattern of the Ganges-Padma River in Bangladesh is examined using satellite images. The meandering Ganges-Padma River has recently transformed into a braided river. Satellite imageries from 1973–2016 are used to compute the sinuosity ratio and braiding index (two measures that allow for the trend analysis). It turns out that both the sinuosity ratio and the braiding index went up with time, surpassing the cut-off for meandering. Overall, the braiding index variation exceeds the sinuosity variation. © 2022 by the authors.
- Authors: Wahiduzzaman, Md , Yeasmin, Alea
- Date: 2022
- Type: Text , Journal article
- Relation: Applied Sciences (Switzerland) Vol. 12, no. 22 (2022), p.
- Full Text:
- Reviewed:
- Description: The shifting pattern of the Ganges-Padma River in Bangladesh is examined using satellite images. The meandering Ganges-Padma River has recently transformed into a braided river. Satellite imageries from 1973–2016 are used to compute the sinuosity ratio and braiding index (two measures that allow for the trend analysis). It turns out that both the sinuosity ratio and the braiding index went up with time, surpassing the cut-off for meandering. Overall, the braiding index variation exceeds the sinuosity variation. © 2022 by the authors.
Harnessing the potential of women entrepreneurs in the Asia-Pacific [Aprovechando el potencial de las mujeres emprendedoras en Asia y el Pacífico]
- Authors: Braun, Patrice
- Date: 2022
- Type: Text , Journal article
- Relation: Mexico Y La Cuenca Del Pacifico Vol. 11, no. 31 (2022), p. 9-23
- Full Text:
- Reviewed:
- Authors: Braun, Patrice
- Date: 2022
- Type: Text , Journal article
- Relation: Mexico Y La Cuenca Del Pacifico Vol. 11, no. 31 (2022), p. 9-23
- Full Text:
- Reviewed: