Learning large margin multiple granularity features with an improved siamese network for person re-identification
- Li, Da-Xiang, Fei, Gy, Teng, Shyh
- Authors: Li, Da-Xiang , Fei, Gy , Teng, Shyh
- Date: 2020
- Type: Text , Journal article
- Relation: Symmetry-Basel Vol. 12, no. 1 (Jan 2020), p. 16
- Full Text:
- Reviewed:
- Description: Person re-identification (Re-ID) is a non-overlapping multi-camera retrieval task to match different images of the same person, and it has become a hot research topic in many fields, such as surveillance security, criminal investigation, and video analysis. As one kind of important architecture for person re-identification, Siamese networks usually adopt standard softmax loss function, and they can only obtain the global features of person images, ignoring the local features and the large margin for classification. In this paper, we design a novel symmetric Siamese network model named Siamese Multiple Granularity Network (SMGN), which can jointly learn the large margin multiple granularity features and similarity metrics for person re-identification. Firstly, two branches for global and local feature extraction are designed in the backbone of the proposed SMGN model, and the extracted features are concatenated together as multiple granularity features of person images. Then, to enhance their discriminating ability, the multiple channel weighted fusion (MCWF) loss function is constructed for the SMGN model, which includes the verification loss and identification loss of the training image pair. Extensive comparative experiments on four benchmark datasets (CUHK01, CUHK03, Market-1501 and DukeMTMC-reID) show the effectiveness of our proposed method and its performance outperforms many state-of-the-art methods.
- Authors: Li, Da-Xiang , Fei, Gy , Teng, Shyh
- Date: 2020
- Type: Text , Journal article
- Relation: Symmetry-Basel Vol. 12, no. 1 (Jan 2020), p. 16
- Full Text:
- Reviewed:
- Description: Person re-identification (Re-ID) is a non-overlapping multi-camera retrieval task to match different images of the same person, and it has become a hot research topic in many fields, such as surveillance security, criminal investigation, and video analysis. As one kind of important architecture for person re-identification, Siamese networks usually adopt standard softmax loss function, and they can only obtain the global features of person images, ignoring the local features and the large margin for classification. In this paper, we design a novel symmetric Siamese network model named Siamese Multiple Granularity Network (SMGN), which can jointly learn the large margin multiple granularity features and similarity metrics for person re-identification. Firstly, two branches for global and local feature extraction are designed in the backbone of the proposed SMGN model, and the extracted features are concatenated together as multiple granularity features of person images. Then, to enhance their discriminating ability, the multiple channel weighted fusion (MCWF) loss function is constructed for the SMGN model, which includes the verification loss and identification loss of the training image pair. Extensive comparative experiments on four benchmark datasets (CUHK01, CUHK03, Market-1501 and DukeMTMC-reID) show the effectiveness of our proposed method and its performance outperforms many state-of-the-art methods.
Modelling hydrological performance of a bauxite residue profile for deposition management of a storage facility
- Shaygan, Mandana, Usher, Brent, Baumgartl, Thomas
- Authors: Shaygan, Mandana , Usher, Brent , Baumgartl, Thomas
- Date: 2020
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 12, no. 7 (2020), p.
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- Reviewed:
- Description: Accurate scheduling of bauxite residue (red mud) deposition time is required in order to prevent the risk of storage facility failure. This study was conducted to precisely determine the hydraulic parameters of bauxite residue and investigate the capability of HYDRUS to accurately estimate the residue moisture profile and the timing for its deposition. The hydraulic properties of the bauxite residue profile were determined by solving an inverse problem. A one-dimensional hydrological model (HYDRUS-1D) was validated using a 300 mm long column filled with bauxite residue and exposed to a dynamic lower boundary condition. After numerical validation, the model was used to simulate the moisture profile of bauxite residue under the climatic conditions of an alumina refinery site in Queensland, Australia, as well as other scenarios (i.e., high (300 mm) and small (1.7 mm) rainfall events of the site). This study showed that the HYDRUS model can be used as a predictive tool to precisely estimate the moisture profile of the bauxite residue and that the timing for the re-deposition of the bauxite residue can be estimated by understanding the moisture profile and desired shear strength of the residue. This study revealed that the examined bauxite residue approaches field capacity (water potential-10 kPa) after three days from a low rainfall event (<1.7 mm) and after eight days from an intense rainfall event (300 mm) at the time of disposal. This suggests that the bauxite residue can be deposited every four days after low rainfall events (as low as 1.7 mm) and every nine days after high rainfall events (as high as 300 mm) at the time of deposition, if bauxite residue experiences an initial drying period following deposition. © 2020 by the authors.
- Authors: Shaygan, Mandana , Usher, Brent , Baumgartl, Thomas
- Date: 2020
- Type: Text , Journal article
- Relation: Water (Switzerland) Vol. 12, no. 7 (2020), p.
- Full Text:
- Reviewed:
- Description: Accurate scheduling of bauxite residue (red mud) deposition time is required in order to prevent the risk of storage facility failure. This study was conducted to precisely determine the hydraulic parameters of bauxite residue and investigate the capability of HYDRUS to accurately estimate the residue moisture profile and the timing for its deposition. The hydraulic properties of the bauxite residue profile were determined by solving an inverse problem. A one-dimensional hydrological model (HYDRUS-1D) was validated using a 300 mm long column filled with bauxite residue and exposed to a dynamic lower boundary condition. After numerical validation, the model was used to simulate the moisture profile of bauxite residue under the climatic conditions of an alumina refinery site in Queensland, Australia, as well as other scenarios (i.e., high (300 mm) and small (1.7 mm) rainfall events of the site). This study showed that the HYDRUS model can be used as a predictive tool to precisely estimate the moisture profile of the bauxite residue and that the timing for the re-deposition of the bauxite residue can be estimated by understanding the moisture profile and desired shear strength of the residue. This study revealed that the examined bauxite residue approaches field capacity (water potential-10 kPa) after three days from a low rainfall event (<1.7 mm) and after eight days from an intense rainfall event (300 mm) at the time of disposal. This suggests that the bauxite residue can be deposited every four days after low rainfall events (as low as 1.7 mm) and every nine days after high rainfall events (as high as 300 mm) at the time of deposition, if bauxite residue experiences an initial drying period following deposition. © 2020 by the authors.
Phylomitogenomic analyses on collembolan higher taxa with enhanced taxon sampling and discussion on method selection
- Sun, Xin, Yu,, Daoyuan, Xie, ,Zhijing, Dong, Jie, Ding, Yinhuan, Yao, Haifeng, Greenslade, Penelope
- Authors: Sun, Xin , Yu,, Daoyuan , Xie, ,Zhijing , Dong, Jie , Ding, Yinhuan , Yao, Haifeng , Greenslade, Penelope
- Date: 2020
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 15, no. 4 (2020), p.
- Full Text:
- Reviewed:
- Description: Collembola are a basal group of Hexapoda renowned for both unique morphological characters and significant ecological roles. However, a robust and plausible phylogenetic relationship between its deeply divergent lineages has yet to be achieved. We carried out a mitophylogenomic study based on a so far the most comprehensive mitochondrial genome dataset. Our data matrix contained mitogenomes of 31 species from almost all major families of all four orders, with 16 mitogenomes newly sequenced and annotated. We compared the linear arrangements of genes along mitochondria across species. Then we conducted 13 analyses each under a different combination of character coding, partitioning scheme and heterotachy models, and assessed their performance in phylogenetic inference. Several hypothetical tree topologies were also tested. Mitogenomic structure comparison revealed that most species share the same gene order of putative ancestral pancrustacean pattern, while seven species from Onychiuridae, Poduridae and Symphypleona bear different levels of gene rearrangements, indicating phylogenetic signals. Tomoceroidea was robustly recovered for the first time in the presence of all its families and subfamilies. Monophyly of Onychiuroidea was supported using unpartitioned models alleviating LBA. Paronellidae was revealed polyphyletic with two subfamilies inserted independently into Entomobryidae. Although Entomobryomorpha has not been well supported, more than half of the analyses obtained convincing topologies by placing Tomoceroidea within or near remaining Entomobryomorpha. The relationship between elongate-shaped and sphericalshaped collembolans still remained ambiguous, but Neelipleona tend to occupy the basal position in most trees. This study showed that mitochondrial genomes could provide important information for reconstructing the relationships among Collembola when suitable analytical approaches are implemented. Of all the data refining and model selecting schemes used in this study, the combination of nucleotide sequences, partitioning model and exclusion of third codon positions performed better in generating more reliable tree topology and higher node supports than others. © 2020 Sun 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: Sun, Xin , Yu,, Daoyuan , Xie, ,Zhijing , Dong, Jie , Ding, Yinhuan , Yao, Haifeng , Greenslade, Penelope
- Date: 2020
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 15, no. 4 (2020), p.
- Full Text:
- Reviewed:
- Description: Collembola are a basal group of Hexapoda renowned for both unique morphological characters and significant ecological roles. However, a robust and plausible phylogenetic relationship between its deeply divergent lineages has yet to be achieved. We carried out a mitophylogenomic study based on a so far the most comprehensive mitochondrial genome dataset. Our data matrix contained mitogenomes of 31 species from almost all major families of all four orders, with 16 mitogenomes newly sequenced and annotated. We compared the linear arrangements of genes along mitochondria across species. Then we conducted 13 analyses each under a different combination of character coding, partitioning scheme and heterotachy models, and assessed their performance in phylogenetic inference. Several hypothetical tree topologies were also tested. Mitogenomic structure comparison revealed that most species share the same gene order of putative ancestral pancrustacean pattern, while seven species from Onychiuridae, Poduridae and Symphypleona bear different levels of gene rearrangements, indicating phylogenetic signals. Tomoceroidea was robustly recovered for the first time in the presence of all its families and subfamilies. Monophyly of Onychiuroidea was supported using unpartitioned models alleviating LBA. Paronellidae was revealed polyphyletic with two subfamilies inserted independently into Entomobryidae. Although Entomobryomorpha has not been well supported, more than half of the analyses obtained convincing topologies by placing Tomoceroidea within or near remaining Entomobryomorpha. The relationship between elongate-shaped and sphericalshaped collembolans still remained ambiguous, but Neelipleona tend to occupy the basal position in most trees. This study showed that mitochondrial genomes could provide important information for reconstructing the relationships among Collembola when suitable analytical approaches are implemented. Of all the data refining and model selecting schemes used in this study, the combination of nucleotide sequences, partitioning model and exclusion of third codon positions performed better in generating more reliable tree topology and higher node supports than others. © 2020 Sun 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.
Rex Ingamells and Ted Strehlow : correspondences and contradictions in Australian settler nationalism
- Authors: Tout, Dan
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Australian Studies Vol. 44, no. 3 (2020), p. 254-270
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- Reviewed:
- Description: The standard story of Australian national cultural development revolves around a fundamental conflict between the forces of empire loyalism or universalism on the one hand and Australian nationalism on the other. Yet this narrative structure neglects the complexities of the settler-colonial, as distinct from the colonial, situation. This article is premised on the proposition that the settler-colonial situation is conditioned by a triangular system of relationships involving settler, metropolitan and Indigenous agencies. In this schema, the settler is compelled towards both indigenisation and neo-European replication, while both trajectories are similarly founded on the prior displacement of pre-existing Indigenous populations. While at certain historical moments exclusive emphasis on the settler–metropole relation may be maintained, at others the disavowal of the settler–indigene relation common to both sides of the “two Australias” divide is rendered untenable by changing circumstances. It is into such a moment this article aims to situate its subjects—Rex Ingamells and the Jindyworobaks—and it does so with reference to the correspondences between Jindyworobak indigenism and the indigenising settler nationalism evident in the “salvage linguistics” of Ted Strehlow. In doing so, the article aims to reveal the complexities and persistence of what it terms the settler predicament. © 2020 International Australian Studies Association.
- Authors: Tout, Dan
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Australian Studies Vol. 44, no. 3 (2020), p. 254-270
- Full Text:
- Reviewed:
- Description: The standard story of Australian national cultural development revolves around a fundamental conflict between the forces of empire loyalism or universalism on the one hand and Australian nationalism on the other. Yet this narrative structure neglects the complexities of the settler-colonial, as distinct from the colonial, situation. This article is premised on the proposition that the settler-colonial situation is conditioned by a triangular system of relationships involving settler, metropolitan and Indigenous agencies. In this schema, the settler is compelled towards both indigenisation and neo-European replication, while both trajectories are similarly founded on the prior displacement of pre-existing Indigenous populations. While at certain historical moments exclusive emphasis on the settler–metropole relation may be maintained, at others the disavowal of the settler–indigene relation common to both sides of the “two Australias” divide is rendered untenable by changing circumstances. It is into such a moment this article aims to situate its subjects—Rex Ingamells and the Jindyworobaks—and it does so with reference to the correspondences between Jindyworobak indigenism and the indigenising settler nationalism evident in the “salvage linguistics” of Ted Strehlow. In doing so, the article aims to reveal the complexities and persistence of what it terms the settler predicament. © 2020 International Australian Studies Association.
Salmonella enterica serovar hvittingfoss in bar-tailed godwits (limosa lapponica) from Roebuck Bay, Northwestern Australia
- Smith, Hannah, Bean, David, Hawkey, Jane, Clarke, Rohan, Greenhill, Andrew
- Authors: Smith, Hannah , Bean, David , Hawkey, Jane , Clarke, Rohan , Greenhill, Andrew
- Date: 2020
- Type: Text , Journal article
- Relation: Applied and Environmental Microbiology Vol. 86, no. 19 (2020), p.
- Full Text:
- Reviewed:
- Description: Salmonella enterica serovar Hvittingfoss is an important foodborne serotype of Salmonella, being detected in many countries where surveillance is conducted. Outbreaks can occur, and there was a recent multistate foodborne outbreak in Australia. S. Hvittingfoss can be found in animal populations, though a definitive animal host has not been established. Six species of birds were sampled at Roebuck Bay, a designated Ramsar site in northwestern Australia, resulting in 326 cloacal swabs for bacterial culture. Among a single flock of 63 bar-tailed godwits (Limosa lapponica menzbieri) caught at Wader Spit, Roebuck Bay, in 2018, 17 (27%) were culture positive for Salmonella. All other birds were negative for Salmonella. The isolates were identified as Salmonella enterica serovar Hvittingfoss. Phylogenetic analysis revealed a close relationship between isolates collected from godwits and the S. Hvittingfoss strain responsible for a 2016 multistate foodborne outbreak originating from tainted cantaloupes (rock melons) in Australia. While it is not possible to determine how this strain of S. Hvittingfoss was introduced into the bar-tailed godwits, these findings show that wild Australian birds are capable of carrying Salmonella strains of public health importance. IMPORTANCE Salmonella is a zoonotic pathogen that causes gastroenteritis and other disease presentations in both humans and animals. Serovars of S. enterica commonly cause foodborne disease in Australia and globally. In 2016-2017, S. Hvittingfoss was responsible for an outbreak that resulted in 110 clinically confirmed human cases throughout Australia. The origin of the contamination that led to the outbreak was never definitively established. Here, we identify a migratory shorebird, the bar-tailed godwit, as an animal reservoir of S. Hvittingfoss. These birds were sampled in northwestern Australia during their nonbreeding period. The presence of a genetically similar S. Hvittingfoss strain circulating in a wild bird population, 2 years after the 2016-2017 outbreak and ~1,500 km from the suspected source of the outbreak, demonstrates a potentially unidentified environmental reservoir of S. Hvittingfoss. While the birds cannot be implicated in the outbreak that occurred 2 years prior, this study does demonstrate the potential role for wild birds in the transmission of this important foodborne pathogen. © 2020 American Society for Microbiology.
- Authors: Smith, Hannah , Bean, David , Hawkey, Jane , Clarke, Rohan , Greenhill, Andrew
- Date: 2020
- Type: Text , Journal article
- Relation: Applied and Environmental Microbiology Vol. 86, no. 19 (2020), p.
- Full Text:
- Reviewed:
- Description: Salmonella enterica serovar Hvittingfoss is an important foodborne serotype of Salmonella, being detected in many countries where surveillance is conducted. Outbreaks can occur, and there was a recent multistate foodborne outbreak in Australia. S. Hvittingfoss can be found in animal populations, though a definitive animal host has not been established. Six species of birds were sampled at Roebuck Bay, a designated Ramsar site in northwestern Australia, resulting in 326 cloacal swabs for bacterial culture. Among a single flock of 63 bar-tailed godwits (Limosa lapponica menzbieri) caught at Wader Spit, Roebuck Bay, in 2018, 17 (27%) were culture positive for Salmonella. All other birds were negative for Salmonella. The isolates were identified as Salmonella enterica serovar Hvittingfoss. Phylogenetic analysis revealed a close relationship between isolates collected from godwits and the S. Hvittingfoss strain responsible for a 2016 multistate foodborne outbreak originating from tainted cantaloupes (rock melons) in Australia. While it is not possible to determine how this strain of S. Hvittingfoss was introduced into the bar-tailed godwits, these findings show that wild Australian birds are capable of carrying Salmonella strains of public health importance. IMPORTANCE Salmonella is a zoonotic pathogen that causes gastroenteritis and other disease presentations in both humans and animals. Serovars of S. enterica commonly cause foodborne disease in Australia and globally. In 2016-2017, S. Hvittingfoss was responsible for an outbreak that resulted in 110 clinically confirmed human cases throughout Australia. The origin of the contamination that led to the outbreak was never definitively established. Here, we identify a migratory shorebird, the bar-tailed godwit, as an animal reservoir of S. Hvittingfoss. These birds were sampled in northwestern Australia during their nonbreeding period. The presence of a genetically similar S. Hvittingfoss strain circulating in a wild bird population, 2 years after the 2016-2017 outbreak and ~1,500 km from the suspected source of the outbreak, demonstrates a potentially unidentified environmental reservoir of S. Hvittingfoss. While the birds cannot be implicated in the outbreak that occurred 2 years prior, this study does demonstrate the potential role for wild birds in the transmission of this important foodborne pathogen. © 2020 American Society for Microbiology.
Set-valued orthogonality and nearness
- Barbagallo, Annamaria, Ernst, Octavian, Théra, Michel
- Authors: Barbagallo, Annamaria , Ernst, Octavian , Théra, Michel
- Date: 2020
- Type: Text , Journal article
- Relation: AAPP Atti della Accademia Peloritana dei Pericolanti, Classe di Scienze Fisiche, Matematiche e Naturali Vol. 98, no. (2020), p.
- Relation: http://purl.org/au-research/grants/arc/DP160100854
- Full Text:
- Reviewed:
- Description: The theory of set-valued mappings has grown with the development of modern variational analysis. It is a key in convex and non-smooth analysis, in game theory, in mathematical economics and in control theory. The concepts of nearness and orthogonality have been known for functions since the pioneering works of Campanato, Birkhoff and James. In a recent paper Barbagallo et al. [J. Math. Anal. Appl., 484 (1), (2020)] a connection between these two concepts has been made. This note is mainly devoted to introduce nearness and orthogonality between set-valued mappings with the goal to study the solvability of generalized equations involving set-valued mappings. © 2020 Accademia Peloritana dei Pericolanti. All rights reserved.
- Authors: Barbagallo, Annamaria , Ernst, Octavian , Théra, Michel
- Date: 2020
- Type: Text , Journal article
- Relation: AAPP Atti della Accademia Peloritana dei Pericolanti, Classe di Scienze Fisiche, Matematiche e Naturali Vol. 98, no. (2020), p.
- Relation: http://purl.org/au-research/grants/arc/DP160100854
- Full Text:
- Reviewed:
- Description: The theory of set-valued mappings has grown with the development of modern variational analysis. It is a key in convex and non-smooth analysis, in game theory, in mathematical economics and in control theory. The concepts of nearness and orthogonality have been known for functions since the pioneering works of Campanato, Birkhoff and James. In a recent paper Barbagallo et al. [J. Math. Anal. Appl., 484 (1), (2020)] a connection between these two concepts has been made. This note is mainly devoted to introduce nearness and orthogonality between set-valued mappings with the goal to study the solvability of generalized equations involving set-valued mappings. © 2020 Accademia Peloritana dei Pericolanti. All rights reserved.
Short-term impact of tillage on soil and the hydrological response within a Fig (Ficus Carica) orchard in Croatia
- Telak, Leon, Pereira, Paulo, Ferreira, Carla, Filipovic, Vilim, Filipovic, Lana, Bogunovic, Igor
- Authors: Telak, Leon , Pereira, Paulo , Ferreira, Carla , Filipovic, Vilim , Filipovic, Lana , Bogunovic, Igor
- Date: 2020
- Type: Journal article
- Relation: Water (Basel) Vol. 12, no. 11 (2020), p. 3295
- Full Text:
- Reviewed:
- Description: Tillage is well known to have impacts on soil properties and hydrological responses. This work aims to study the short-term impacts of tillage (0–3 months) on soil and hydrological responses in fig orchards located in Croatia. Understanding the soil hydrological response in the study area is crucial for soil management due to frequent autumn floods. The hydrological response was investigated using rainfall simulation experiments (58 mm h−1, for 30 min, over 0.785 m2 plots). The results show that the bulk density was significantly higher 3 months after tillage than at 0 and 1 months. The water holding capacity and amount of soil organic matter decreased with time. The water runoff and phosphorous loss (P loss) increased over time. The sediment concentration (SC) was significantly higher 3 months after tillage than in the previous monitoring periods, while sediment loss (SL) and carbon loss (C loss) were significantly lower 0 months after tillage than 3 months after tillage. Overall, there was an increase in soil erodibility with time (high SC, SL, C loss, and P loss), attributed to the precipitation patterns that increase the soil water content and therefore the hydrological response. Therefore, sustainable agricultural practices are needed to avoid sediment translocation and to mitigate floods and land degradation.
- Authors: Telak, Leon , Pereira, Paulo , Ferreira, Carla , Filipovic, Vilim , Filipovic, Lana , Bogunovic, Igor
- Date: 2020
- Type: Journal article
- Relation: Water (Basel) Vol. 12, no. 11 (2020), p. 3295
- Full Text:
- Reviewed:
- Description: Tillage is well known to have impacts on soil properties and hydrological responses. This work aims to study the short-term impacts of tillage (0–3 months) on soil and hydrological responses in fig orchards located in Croatia. Understanding the soil hydrological response in the study area is crucial for soil management due to frequent autumn floods. The hydrological response was investigated using rainfall simulation experiments (58 mm h−1, for 30 min, over 0.785 m2 plots). The results show that the bulk density was significantly higher 3 months after tillage than at 0 and 1 months. The water holding capacity and amount of soil organic matter decreased with time. The water runoff and phosphorous loss (P loss) increased over time. The sediment concentration (SC) was significantly higher 3 months after tillage than in the previous monitoring periods, while sediment loss (SL) and carbon loss (C loss) were significantly lower 0 months after tillage than 3 months after tillage. Overall, there was an increase in soil erodibility with time (high SC, SL, C loss, and P loss), attributed to the precipitation patterns that increase the soil water content and therefore the hydrological response. Therefore, sustainable agricultural practices are needed to avoid sediment translocation and to mitigate floods and land degradation.
Study on the stability of brown coal batter with opened cracks on Maddingley brown coal mine
- Authors: Zhao, Lei , You, Greg
- Date: 2020
- Type: Text , Journal article
- Relation: Sn Applied Sciences Vol. 2, no. 6 (Jun 2020), p. 14
- Full Text:
- Reviewed:
- Description: After a 26-mm precipitation in February 2014, noticeable ground movements were recorded on the north batter of Maddingley brown coal open pit, Victoria. To investigate the rainfall effect on the stability of the brown coal batter with opened cracks, a three-dimensional geologic model was developed, and the finite element program encoded in Plaxis 3D was employed to conduct a complex two-phase (fluid-solid) coupled numerical simulation. It was found that the simulated deformations were well agreed with the field survey data. There were ground movements along the length of cracks on both sides of the crack with larger movement towards the pit bottom. The coupled effect of hydrostatic forces from the crack in the rear of the batter and from the clay layer underlain the batter caused the block to slide, or batter failure. From the results, it revealed that both short-term high rainfall intensity precipitation and long enduring low rainfall intensity precipitation could cause the brown coal batter with opened cracks instable.
- Description: Australian Research Training Program (RTP) Scholarship Federation University Australia George Collins Memorial Scholarship.
- Authors: Zhao, Lei , You, Greg
- Date: 2020
- Type: Text , Journal article
- Relation: Sn Applied Sciences Vol. 2, no. 6 (Jun 2020), p. 14
- Full Text:
- Reviewed:
- Description: After a 26-mm precipitation in February 2014, noticeable ground movements were recorded on the north batter of Maddingley brown coal open pit, Victoria. To investigate the rainfall effect on the stability of the brown coal batter with opened cracks, a three-dimensional geologic model was developed, and the finite element program encoded in Plaxis 3D was employed to conduct a complex two-phase (fluid-solid) coupled numerical simulation. It was found that the simulated deformations were well agreed with the field survey data. There were ground movements along the length of cracks on both sides of the crack with larger movement towards the pit bottom. The coupled effect of hydrostatic forces from the crack in the rear of the batter and from the clay layer underlain the batter caused the block to slide, or batter failure. From the results, it revealed that both short-term high rainfall intensity precipitation and long enduring low rainfall intensity precipitation could cause the brown coal batter with opened cracks instable.
- Description: Australian Research Training Program (RTP) Scholarship Federation University Australia George Collins Memorial Scholarship.
- Barbieri, Diego, Lou, Baowen, Passavanti, Marco, Hui, Cang, Lessa, Daniela, Maharaj, Brij, Banerjee, Arunabha, Wang, Fusong, Chang, Kevin, Naik, Bhaven, Yu, Lei, Liu, Zhuangzhuang, Sikka, Gaurav, Tucker, Andrew, Mirhosseini, Ali, Naseri, Sahra, Qiao, Yaning, Gupta, Akshay, Abbas, Montasir, Fang, Kevin, Ghasemi, Navid, Peprah, Prince, Goswami, Shubham, Hessami, Amir, Agarwal, Nithin, Lam, Louisa, Adomako, Solomon
- Authors: Barbieri, Diego , Lou, Baowen , Passavanti, Marco , Hui, Cang , Lessa, Daniela , Maharaj, Brij , Banerjee, Arunabha , Wang, Fusong , Chang, Kevin , Naik, Bhaven , Yu, Lei , Liu, Zhuangzhuang , Sikka, Gaurav , Tucker, Andrew , Mirhosseini, Ali , Naseri, Sahra , Qiao, Yaning , Gupta, Akshay , Abbas, Montasir , Fang, Kevin , Ghasemi, Navid , Peprah, Prince , Goswami, Shubham , Hessami, Amir , Agarwal, Nithin , Lam, Louisa , Adomako, Solomon
- Date: 2020
- Type: Text , Journal article , Data article
- Relation: Data in Brief Vol. 32, (2020)
- Full Text: false
- Reviewed:
- Description: The dataset deals with the air quality perceived by citizens before and during the enforcement of COVID-19 restrictions in ten countries around the world: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online survey conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese collected information regarding the perceived quality of air pollution according to a Likert scale. The questionnaire was distributed between 11-05-2020 and 31-05-2020 and 9 394 respondents took part. Both the survey and the dataset (stored in a Microsoft Excel Worksheet) are available in a public repository. The collected data offer the people's subjective perspectives related to the objective improvement in air quality occurred during the COVID-19 restrictions. Furthermore, the dataset can be used for research studies involving the reduction in air pollution as experienced, to a different extent, by populations of all the ten countries. © 2020 The Author(s)
The association between esports participation, health and physical activity behaviour
- Trotter, Michael, Coulter, Tristan, Davis, Paul, Poulus, Dylan, Polman, Remco
- Authors: Trotter, Michael , Coulter, Tristan , Davis, Paul , Poulus, Dylan , Polman, Remco
- Date: 2020
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 17, no. 19 (2020), p. 1-14
- Full Text:
- Reviewed:
- Description: We investigated the association between obesity, self-reported physical activity, cigarette smoking, alcohol consumption, and perceived health in esports players, and the influence of player in-game rank. Data was collected with an online survey with an international participant sample of esports players representing five esports and all skill levels (n = 1772). Esports players were more likely to be categorized as normal weight, or obesity class 2 and 3 and as non-smokers (92%) and non-drinkers (65.1%) compared to international reference data. Esports players met international physical activity guidelines less than global general population. Esports players ranked in the top 10% were more physically active compared to the remaining esports players. As esports player in-game rank increased, so did the amount of time spent playing esports. Although esports players appear generally healthy, a small group was significantly obese and most esports players did not meet physical activity guidelines, indicating potential future health risks. © 2020, MDPI AG. All rights reserved.
- Authors: Trotter, Michael , Coulter, Tristan , Davis, Paul , Poulus, Dylan , Polman, Remco
- Date: 2020
- Type: Text , Journal article
- Relation: International Journal of Environmental Research and Public Health Vol. 17, no. 19 (2020), p. 1-14
- Full Text:
- Reviewed:
- Description: We investigated the association between obesity, self-reported physical activity, cigarette smoking, alcohol consumption, and perceived health in esports players, and the influence of player in-game rank. Data was collected with an online survey with an international participant sample of esports players representing five esports and all skill levels (n = 1772). Esports players were more likely to be categorized as normal weight, or obesity class 2 and 3 and as non-smokers (92%) and non-drinkers (65.1%) compared to international reference data. Esports players met international physical activity guidelines less than global general population. Esports players ranked in the top 10% were more physically active compared to the remaining esports players. As esports player in-game rank increased, so did the amount of time spent playing esports. Although esports players appear generally healthy, a small group was significantly obese and most esports players did not meet physical activity guidelines, indicating potential future health risks. © 2020, MDPI AG. All rights reserved.
The composition and stability of the faecal microbiota of merino sheep
- Mamun, Mohammed, Sandeman, Mark, Rayment, Philip, Brook-Carter, Phillip, Scholes, Emily, Kasinadhuni, Naga, Piedrafita, David, Greenhill, Andrew
- Authors: Mamun, Mohammed , Sandeman, Mark , Rayment, Philip , Brook-Carter, Phillip , Scholes, Emily , Kasinadhuni, Naga , Piedrafita, David , Greenhill, Andrew
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Applied Microbiology Vol. 128, no. 1 (2020), p. 280-291
- Full Text: false
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- Description: Aims: To determine the composition and temporal stability of the gut (faecal) microbiota of sheep (Ovis aries). Methods and Results: Microbial population dynamics was conducted using ARISA (28 sheep) and 16S rRNA sequencing (11 sheep). Firmicutes and Bacteroidetes were the predominant bacterial phyla, constituting ~80% of the total population. The core faecal bacterial microbiota of sheep consisted of 67 of 136 detected families and 91 of 215 detected species. Predominant microbial taxa included Ruminococcaceae, unassigned families in Bacteroidales and Clostridiales, Verrucomicrobiaceae and Paraprevotellaceae. Diversity indices and core microbiota composition demonstrated the stability of the core microbiota over 2–4 weeks. The core microbiota remained similar over ~5 months. Conclusions: Temporal stability of the sheep microbiota is high over 2–4 weeks in the absence of experimental variables. The core microbiota of Merino sheep shares taxa found in other breeds of sheep and other ruminants. Significance and Impact of the Study: Numerous studies seek to investigate the impact of experimental variables on gut microbiota composition. To do so, knowledge of the innate stability (or instability) of the microbiota over an experimental time course is required, independent of other variables. We have demonstrated high stability of the gut microbiota in sheep over 3–4 weeks, with moderate stability over ~5 months. © 2019 The Society for Applied Microbiology
The influences of low protein diet on the intestinal microbiota of mice
- Masuoka, Hiroaki, Suda, Wataru, Tomitsuka, Eriko, Shindo, Chie, Takayasu, Lena, Horwood, Paul, Greenhill, Andrew, Hattori, Masahira, Umezaki, Masahiro, Hirayama, Kazuhiro
- Authors: Masuoka, Hiroaki , Suda, Wataru , Tomitsuka, Eriko , Shindo, Chie , Takayasu, Lena , Horwood, Paul , Greenhill, Andrew , Hattori, Masahira , Umezaki, Masahiro , Hirayama, Kazuhiro
- Date: 2020
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 10, no. 1 (2020), p.
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- Description: Recent research suggests that protein deficiency symptoms are influenced by the intestinal microbiota. We investigated the influence of low protein diet on composition of the intestinal microbiota through animal experiments. Specific pathogen-free (SPF) mice were fed one of four diets (3, 6, 9, or 12% protein) for 4 weeks (n = 5 per diet). Mice fed the 3% protein diet showed protein deficiency symptoms such as weight loss and low level of blood urea nitrogen concentration in their serum. The intestinal microbiota of mice in the 3% and 12% protein diet groups at day 0, 7, 14, 21 and 28 were investigated by 16S rRNA gene sequencing, which revealed differences in the microbiota. In the 3% protein diet group, a greater abundance of urease producing bacterial species was detected across the duration of the study. In the 12% diet protein group, increases of abundance of Streptococcaceae and Clostridiales families was detected. These results suggest that protein deficiency may be associated with shifts in intestinal microbiota. © 2020, The Author(s).
- Authors: Masuoka, Hiroaki , Suda, Wataru , Tomitsuka, Eriko , Shindo, Chie , Takayasu, Lena , Horwood, Paul , Greenhill, Andrew , Hattori, Masahira , Umezaki, Masahiro , Hirayama, Kazuhiro
- Date: 2020
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 10, no. 1 (2020), p.
- Full Text:
- Reviewed:
- Description: Recent research suggests that protein deficiency symptoms are influenced by the intestinal microbiota. We investigated the influence of low protein diet on composition of the intestinal microbiota through animal experiments. Specific pathogen-free (SPF) mice were fed one of four diets (3, 6, 9, or 12% protein) for 4 weeks (n = 5 per diet). Mice fed the 3% protein diet showed protein deficiency symptoms such as weight loss and low level of blood urea nitrogen concentration in their serum. The intestinal microbiota of mice in the 3% and 12% protein diet groups at day 0, 7, 14, 21 and 28 were investigated by 16S rRNA gene sequencing, which revealed differences in the microbiota. In the 3% protein diet group, a greater abundance of urease producing bacterial species was detected across the duration of the study. In the 12% diet protein group, increases of abundance of Streptococcaceae and Clostridiales families was detected. These results suggest that protein deficiency may be associated with shifts in intestinal microbiota. © 2020, The Author(s).
The Investment Model: Its Antecedents and Predictors of Relationship Satisfaction
- Moore, Kathleen, Campbell, Austin
- Authors: Moore, Kathleen , Campbell, Austin
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Relationship Research Vol. 11, no. (2020), p.
- Full Text: false
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- Description: Intimate relationships are an integral part of our lives, but the rate of relationship breakups is high. We explored the role of the investment model and the traits that influence investments on relationship satisfaction among 146 volunteers (age M = 28.76 years, SD = 10.23). Relationship satisfaction was predicted by investments, which in turn were predicted by attachment, personality and love style. Clinicians working with individuals or couples with relationship issues may benefit from knowing how invested they are in the relationship and their love style. Insight into imbalances in these constructs between partners may be used to facilitate relationship satisfaction.
A configural model of expert judgement as a preliminary epidemiological study of injury problems: An application to drowning
- Morgan, Damian, Ozanne-Smith, Joan
- Authors: Morgan, Damian , Ozanne-Smith, Joan
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 14, no. 10 (2019), p.
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- Description: Robust epidemiological studies identifying determinants of negative health outcomes require significant research effort. Expert judgement is proposed as an efficient alternative or preliminary research design for risk factor identification associated with unintentional injury. This proposition was tested in a multi-factorial balanced experimental design using specialist judges (N = 18), lifeguards and surfers, to assess the risk contribution to drowning for swimming ability, surf bathing experience, and wave height. All factors provided unique contributions to drowning risk (p < .001). An interaction (p = .02) indicated that occasional surf bathers face a proportionally increased risk of drowning at increased wave heights relative to experienced surf bathers. Although findings were limited by strict criteria, and no gold standard comparison data were available, the study provides new evidence on causal risk factors for a drowning scenario. Countermeasures based on these factors are proposed. Further application of the method may assist in developing new interventions to reduce unintentional injury. © 2019 Morgan, Ozanne-Smith. 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: Morgan, Damian , Ozanne-Smith, Joan
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 14, no. 10 (2019), p.
- Full Text:
- Reviewed:
- Description: Robust epidemiological studies identifying determinants of negative health outcomes require significant research effort. Expert judgement is proposed as an efficient alternative or preliminary research design for risk factor identification associated with unintentional injury. This proposition was tested in a multi-factorial balanced experimental design using specialist judges (N = 18), lifeguards and surfers, to assess the risk contribution to drowning for swimming ability, surf bathing experience, and wave height. All factors provided unique contributions to drowning risk (p < .001). An interaction (p = .02) indicated that occasional surf bathers face a proportionally increased risk of drowning at increased wave heights relative to experienced surf bathers. Although findings were limited by strict criteria, and no gold standard comparison data were available, the study provides new evidence on causal risk factors for a drowning scenario. Countermeasures based on these factors are proposed. Further application of the method may assist in developing new interventions to reduce unintentional injury. © 2019 Morgan, Ozanne-Smith. 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.
Algorithm development for the non-destructive testing of structural damage
- Noori Hoshyar, Azadeh, Rashidi, Maria, Liyanapathirana, Ranjith, Samali, Bijan
- Authors: Noori Hoshyar, Azadeh , Rashidi, Maria , Liyanapathirana, Ranjith , Samali, Bijan
- Date: 2019
- Type: Text , Journal article
- Relation: Applied sciences Vol. 9, no. 14 (2019), p. 2810
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- Description: Monitoring of structures to identify types of damages that occur under loading is essential in practical applications of civil infrastructure. In this paper, we detect and visualize damage based on several non-destructive testing (NDT) methods. A machine learning (ML) approach based on the Support Vector Machine (SVM) method is developed to prevent misdirection of the event interpretation of what is happening in the material. The objective is to identify cracks in the early stages, to reduce the risk of failure in structures. Theoretical and experimental analyses are derived by computing the performance indicators on the smart aggregate (SA)-based sensor data for concrete and reinforced-concrete (RC) beams. Validity assessment of the proposed indices was addressed through a comparative analysis with traditional SVM. The developed ML algorithms are shown to recognize cracks with a higher accuracy than the traditional SVM. Additionally, we propose different algorithms for microwave- or millimeter-wave imaging of steel plates, composite materials, and metal plates, to identify and visualize cracks. The proposed algorithm for steel plates is based on the gradient magnitude in four directions of an image, and is followed by the edge detection technique. Three algorithms were proposed for each of composite materials and metal plates, and are based on 2D fast Fourier transform (FFT) and hybrid fuzzy c-mean techniques, respectively. The proposed algorithms were able to recognize and visualize the cracking incurred in the structure more efficiently than the traditional techniques. The reported results are expected to be beneficial for NDT-based applications, particularly in civil engineering.
- Authors: Noori Hoshyar, Azadeh , Rashidi, Maria , Liyanapathirana, Ranjith , Samali, Bijan
- Date: 2019
- Type: Text , Journal article
- Relation: Applied sciences Vol. 9, no. 14 (2019), p. 2810
- Full Text:
- Reviewed:
- Description: Monitoring of structures to identify types of damages that occur under loading is essential in practical applications of civil infrastructure. In this paper, we detect and visualize damage based on several non-destructive testing (NDT) methods. A machine learning (ML) approach based on the Support Vector Machine (SVM) method is developed to prevent misdirection of the event interpretation of what is happening in the material. The objective is to identify cracks in the early stages, to reduce the risk of failure in structures. Theoretical and experimental analyses are derived by computing the performance indicators on the smart aggregate (SA)-based sensor data for concrete and reinforced-concrete (RC) beams. Validity assessment of the proposed indices was addressed through a comparative analysis with traditional SVM. The developed ML algorithms are shown to recognize cracks with a higher accuracy than the traditional SVM. Additionally, we propose different algorithms for microwave- or millimeter-wave imaging of steel plates, composite materials, and metal plates, to identify and visualize cracks. The proposed algorithm for steel plates is based on the gradient magnitude in four directions of an image, and is followed by the edge detection technique. Three algorithms were proposed for each of composite materials and metal plates, and are based on 2D fast Fourier transform (FFT) and hybrid fuzzy c-mean techniques, respectively. The proposed algorithms were able to recognize and visualize the cracking incurred in the structure more efficiently than the traditional techniques. The reported results are expected to be beneficial for NDT-based applications, particularly in civil engineering.
Annual ryegrass (Lolium rigidum Gaud) competition altered wheat grain quality : A study under elevated atmospheric CO2 levels and drought conditions
- Fernando, Nimesha, Florentine, Singarayer, Naiker, Mani, Panozzo, Joe, Chauhan, Bhagirath
- Authors: Fernando, Nimesha , Florentine, Singarayer , Naiker, Mani , Panozzo, Joe , Chauhan, Bhagirath
- Date: 2019
- Type: Text , Journal article
- Relation: Food Chemistry Vol. 276, no. (2019), p. 285-290
- Full Text:
- Reviewed:
- Description: Annual ryegrass is one of the most serious, costly weeds of winter cropping systems in Australia. To determine whether its competition-mediated plant defence mechanisms effect on wheat grain quality, wheat (cv. Yitpi) and annual ryegrass were grown under two levels of CO2 (400 ppm; (a[CO2]) vs 700 ppm; (e[CO2]), two levels of water (well-watered vs drought) and two types of competition (wheat only; (W), and wheatxannual ryegrass; (W x R) with four replicates. The competitionx[CO2] interaction had a significant effect on wheat grain protein content, where it was increased in W x R under both e[CO2] (+ 17%) and a[CO2] (+ 21%). Grain yield, total grain reducing power and phenolic content were significantly affected by [CO2] x drought x competition. In a summary, annual ryegrass competition significantly altered the wheat grain quality under both [CO2] levels (depending on the soil water level), while also decreasing the grain yield.
- Authors: Fernando, Nimesha , Florentine, Singarayer , Naiker, Mani , Panozzo, Joe , Chauhan, Bhagirath
- Date: 2019
- Type: Text , Journal article
- Relation: Food Chemistry Vol. 276, no. (2019), p. 285-290
- Full Text:
- Reviewed:
- Description: Annual ryegrass is one of the most serious, costly weeds of winter cropping systems in Australia. To determine whether its competition-mediated plant defence mechanisms effect on wheat grain quality, wheat (cv. Yitpi) and annual ryegrass were grown under two levels of CO2 (400 ppm; (a[CO2]) vs 700 ppm; (e[CO2]), two levels of water (well-watered vs drought) and two types of competition (wheat only; (W), and wheatxannual ryegrass; (W x R) with four replicates. The competitionx[CO2] interaction had a significant effect on wheat grain protein content, where it was increased in W x R under both e[CO2] (+ 17%) and a[CO2] (+ 21%). Grain yield, total grain reducing power and phenolic content were significantly affected by [CO2] x drought x competition. In a summary, annual ryegrass competition significantly altered the wheat grain quality under both [CO2] levels (depending on the soil water level), while also decreasing the grain yield.
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.
Balancing cost, performance and risk in maintenance and capital expenditure
- Authors: Chattopadhyay Gopi
- Date: 2019
- Type: Text , Journal article
- Relation: IAPQR Transactions Vol. 44, no. 2 (2019), p. 107-126
- Full Text: false
- Reviewed:
- Description: Asset Management is focused on realisation of value from assets through managing risk and opportunity. ISO standard for asset management ISO55000, 2014 stipulates effective control and governance of assets for desired balancing act of cost, performance and risk. This paper aims to study the maintenance and capital expenditure problems. It proposes how to balance cost, performance and risk for asset management. Decisions need to be based on performance and risk in addition to costs based on whole of life are supported by international standards for asset management. Option analysis and informed decision-making are proposed considering life cycle costs. Recent trend with industries is to align with latest international standards for asset management. Asset management in heavy haul rail network focuses on this by realisation of value from assets through managing risk and opportunity. Model for total cost of maintenance was developed covering risk costs associated with undetected surface/ subsurface cracks causing rail breaks and derailments and wear loss due to gauge face lubrication problems and intervention costs in inspections and interventions using progressive rail grinding and solar powered electric lubricators with remote performance monitoring. Illustrative examples are used to show how actions in inspection and subsequent rail grinding for controlling rolling contact fatigue (RCF) along with gauge face lubrication for controlling wear can be achieved in heavy haul railway. This maintenance and capital investment policy and decisions based on life cycle cost models can be used as reference for capital expenditure (capex) and operational expenditure (opex) balancing in any industry in general and heavy haul in particular.
Belief in conspiracy theories : the predictive role of schizotypy, machiavellianism, and primary psychopathy
- Authors: March, Evita , Springer
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 14, no. 12 (2019), p.
- Full Text:
- Reviewed:
- Description: A conspiracy theory refers to an alternative explanation of an event involving a conspirator plot organised by powerful people or organisations. Belief in conspiracy theories is related to negative societal outcomes such as poor medical decisions and a decrease in prosocial behaviour. Given these negative outcomes, researchers have explored predictors of belief in conspiracy theories in an attempt to understand and possibly manage these beliefs. In the current study, we explored the utility of personality in predicting belief in conspiracy theories. The aim of the current study was to explore the utility of the odd beliefs/magical thinking subtype of schizotypy, Machiavellianism, grandiose narcissism, vulnerable narcissism, primary psychopathy, and secondary psychopathy in predicting belief in conspiracy theories. Participants (N = 230; 44.7% male, 55.3% female) completed an anonymous, confidential online questionnaire which comprised demographics and measures of personality traits and belief in conspiracy theories. The total regression model indicated odd beliefs/magical thinking, trait Machiavellianism, and primary psychopathy were significant, positive predictors of belief in conspiracy theories. No other predictors reached significance. Results of the current study highlight individuals who might be more susceptible to believing conspiracy theories. Specifically, these results indicate that the individual more likely to believe in conspiracy theories may have unusual patterns of thinking and cognitions, be strategic and manipulative, and display interpersonal and affective deficits. © 2019 March, Springer. 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: March, Evita , Springer
- Date: 2019
- Type: Text , Journal article
- Relation: PLoS ONE Vol. 14, no. 12 (2019), p.
- Full Text:
- Reviewed:
- Description: A conspiracy theory refers to an alternative explanation of an event involving a conspirator plot organised by powerful people or organisations. Belief in conspiracy theories is related to negative societal outcomes such as poor medical decisions and a decrease in prosocial behaviour. Given these negative outcomes, researchers have explored predictors of belief in conspiracy theories in an attempt to understand and possibly manage these beliefs. In the current study, we explored the utility of personality in predicting belief in conspiracy theories. The aim of the current study was to explore the utility of the odd beliefs/magical thinking subtype of schizotypy, Machiavellianism, grandiose narcissism, vulnerable narcissism, primary psychopathy, and secondary psychopathy in predicting belief in conspiracy theories. Participants (N = 230; 44.7% male, 55.3% female) completed an anonymous, confidential online questionnaire which comprised demographics and measures of personality traits and belief in conspiracy theories. The total regression model indicated odd beliefs/magical thinking, trait Machiavellianism, and primary psychopathy were significant, positive predictors of belief in conspiracy theories. No other predictors reached significance. Results of the current study highlight individuals who might be more susceptible to believing conspiracy theories. Specifically, these results indicate that the individual more likely to believe in conspiracy theories may have unusual patterns of thinking and cognitions, be strategic and manipulative, and display interpersonal and affective deficits. © 2019 March, Springer. 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.
Causation analysis of risk coupling of gas explosion accident in chinese underground coal mines
- Zhang, Jinjia, Xu, Kaili, You, Greg, Wang, Beibei, Zhao, Lei
- Authors: Zhang, Jinjia , Xu, Kaili , You, Greg , Wang, Beibei , Zhao, Lei
- Date: 2019
- Type: Text , Journal article
- Relation: Risk Analysis Vol. 39, no. 7 (2019), p. 1634-1646
- Full Text: false
- Reviewed:
- Description: The coal mine production industry is a complex sociotechnical system with interactive relationships among several risk factors. Currently, causation analysis of gas explosion accidents is mainly focused on the aspects of human error and equipment fault, while neglecting the interactive relationships among risk factors. A new method is proposed through risk coupling. First, the meaning of risk coupling of a gas explosion is defined, and types of risk coupling are classified. Next, the coupled relationship and coupled effects among risk factors are explored through combining the interpretative structural modeling (ISM) and the NK model. Twenty-eight representative risk factors and 16 coupled types of risk factors are obtained through analysis of 332 gas explosion accidents in coal mines in China. Through the application of the combined ISM-NK model, an eight-level hierarchical model of risk coupling of a gas explosion accident is established, and the coupled degrees of different types of risk coupling are assessed. The hierarchical model reveals that two of the 28 risk factors, such as state policies, laws, and regulations, are the root risk factors for gas explosions; nine of the 28 risk factors, such as flame from blasting, electric spark, and local gas accumulation, are direct causes of gas explosions; whereas 17 of the risk factors, such as three-violation actions, ventilation system, and safety management, are indirect ones. A quantitative analysis of the NK model shows that the probability of gas explosion increases with the increasing number of risk factors. Compared with subjective risk factors, objective risk factors have a higher probability of causing gas explosion because of risk coupling.