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1. Capital and profitability: The moderating role of economic freedom

Author

Faisal Abbas, Shoaib Ali, Kai Yin Woo, and Wing-Keung Wong

Subjects
G21, G28, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Using the GMM framework, this paper examines the nexus between capital and profitability in the presence of economic freedom using annual data of US banks ranging from 2002 to 2022. consistent with both the financial stability and regulatory hypotheses, the present study's empirical findings reveal that economic freedom exerts a positive moderating influence on the relationship between bank capital ratio and profitability. The findings are heterogeneous across banks' specific characteristics and market conditions. Furthermore, the results are robust to alternative proxies of profitability. The study's finding is beneficial for policymakers and regulators as liberalization is not always adversely impact the economy; rather, it's a double-edged sword, and they must maintain that delicate balance. The conclusions of this study have meaningful implications for senior bankers and policymakers when formulating strategies for preserving bank value. Specifically, it highlights the importance of considering the interactive role of economic freedom in their decision-making process.

Published
2024
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2. Mass flow rate measurement of solids in a pneumatic conveying pipeline in different orientations

Author

Faisal Abbas, Lijuan Wang, and Yong Yan

Subjects
Pneumatic conveying, Gas-solid two-phase flow, Mass flow rate, Pipe orientation, Support vector machine, Partial mutual information, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract

Extensive work has been undertaken for the mass flow rate measurement of solids in a horizontal or vertical pneumatic conveying pipe. However, flow regime of the two-phase flow is highly influenced by different orientations of the pipe, resulting in different characteristics of sensor signals and hence large errors in mass flow rate measurement using conventional methods. This paper presents a novel technique to measure the mass flow rate of pneumatically conveyed particles in different pipe orientations. A range of low-cost sensors, including an array of electrostatic sensors, a differential-pressure transducer, and an accelerometer, are integrated to form a sensing unit. Data-driven models, based on support vector machine (SVM), are developed to take the selected features from post-processed sensor data and infer the mass flow rate of solids in different pipe orientations. The partial mutual information algorithm is applied to quantify the importance of each feature. The firefly algorithm is used to optimize the selection of useful features and tune the learning parameters in SVM models. Experimental tests were conducted on a pneumatic conveying test rig circulating flour over the mass flow rate of solids from 3.2 ​g/s to 35.8 ​g/s in pipe orientations from 0° to 90°. Performance comparisons are made between the conventional SVM model and the optimised SVM models with the training data from horizontal orientation and different orientations, respectively. Results demonstrate that the relative error and repeatability of the measured mass flow rate of solids with the optimized SVM model are both improved to within ±12%.

Published
2020
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3. A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

Author

Vilizzi, Lorenzo, Copp, Gordon H., Hill, Jeffrey E., Adamovich, Boris, Aislabie, Luke, Akin, Daniel, Al-Faisal, Abbas J., Almeida, David, Azmai, M. N. Amal, Bakiu, Rigers, Bellati, Adriana, Bernier, Renee, Bies, Jason M., Bilge, Gokcen, Branco, Paulo, Bui, Thuyet D., Canning-Clode, Joao, Cardoso Ramos, Henrique Anatole, Castellanos-Galindo, Gustavo A., Castro, Nuno, Chaichana, Ratcha, Chainho, Paula, Chan, Joleen, Cunico, Almir M., Curd, Amelia, Dangchana, Punyanuch, Dashinov, Dimitriy, Davison, Phil, I, Mariele P. de Camargo, Dodd, Jennifer A., Donahou, Allison L. Durland, Edsman, Lennart, Ekmekci, F. Guler, Elphinstone-Davis, Jessica, Eros, Tibor, Evangelista, Charlotte, Fenwick, Gemma, Ferincz, Arpad, Ferreira, Teresa, Feunteun, Eric, Filiz, Halit, Forneck, Sandra C., Gajduchenko, Helen S., Monteiro, Joao Gama, Gestoso, Ignacio, Giannetto, Daniela, Gilles, Allan S., Jr., Gizzi, Francesca, Glamuzina, Branko, Glamuzina, Luka, Goldsmit, Jesica, Gollasch, Stephan, Goulletquer, Philippe, Grabowska, Joanna, Harmer, Rogan, Haubrock, Phillip J., He, Dekui, Hean, Jeffrey W., Herczeg, Gabor, Howland, Kimberly L., Ilhan, Ali, Interesova, Elena, Jakubcinova, Katarina, Jelmert, Anders, Johnsen, Stein, I, Kakareko, Tomasz, Kanongdate, Kamalaporn, Killi, Nurcin, Kim, Jeong-Eun, Kirankaya, Serife Gulsun, Knazovicka, Dominika, Kopecky, Oldrich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kuljanishvili, Tatia, Kumar, Biju, Kumar, Lohith, Kurita, Yoshihisa, Kurtul, Irmak, Lazzaro, Lorenzo, Lee, Laura, Lehtiniemi, Maiju, Leonardi, Giovanni, Leuven, Rob S. E. W., Li, Shan, Lipinskaya, Tatsiana, Liu, Fei, Lloyd, Lance, Lorenzoni, Massimo, Luna, Sergio Alberto, Lyons, Timothy J., Magellan, Kit, Malmstrom, Martin, Marchini, Agnese, Marr, Sean M., Masson, Gerard, Masson, Laurence, McKenzie, Cynthia H., Memedemin, Daniyar, Mendoza, Roberto, Minchin, Dan, Miossec, Laurence, Moghaddas, Seyed Daryoush, Moshobane, Moleseng C., Mumladze, Levan, Naddafi, Rahmat, Najafi-Majd, Elnaz, Nastase, Aurel, Navodaru, Ion, Neal, J. Wesley, Nienhuis, Sarah, Nimtim, Matura, Nolan, Emma T., Occhipinti-Ambrogi, Anna, Ojaveer, Henn, Olenin, Sergej, Olsson, Karin, Onikura, Norio, O'Shaughnessy, Kathryn, Paganelli, Daniele, Parretti, Paola, Patoka, Jiri, Jr, Richard Thomas B. Pavia, Pellitteri-Rosa, Daniele, Pelletier-Rousseau, Michele, Peralta, Elfritzson M., Perdikaris, Costas, Pietraszewski, Dariusz, Piria, Marina, Pitois, Sophie, Pompei, Laura, Poulet, Nicolas, Preda, Cristina, Puntila-Dodd, Riikka, Qashqaei, Ali T., Radocaj, Tena, Rahmani, Hossein, Raj, Smrithy, Reeves, David, Ristovska, Milica, Rizevsky, Viktor, Robertson, D. Ross, Robertson, Peter, Ruykys, Laura, Sab, Abdulwakil. O, Santos, Jose M., Sari, Hasan M., Segurado, Pedro, Semenchenko, Vitaliy, Senanan, Wansuk, Simard, Nathalie, Simonovic, Predrag, Skora, MichalE, Svolikova, Kristina Slovak, Smeti, Evangelia, Smidova, Tereza, Spelic, Ivan, Srebaliene, Greta, Stasolla, Gianluca, Stebbing, Paul, Stevove, Barbora, Suresh, Vettath R., Szajbert, Bettina, Ta, Kieu Anh T., Tarkan, Ali Serhan, Tempesti, Jonathan, Therriault, Thomas W., Tidbury, Hannah J., Top-Karakus, Nildeniz, Tricarico, Elena, Troca, DeboraF A., Tsiamis, Konstantinos, Tuckett, Quenton M., Tutman, Pero, Uyan, Umut, Uzunova, Eliza, Vardakas, Leonidas, Velle, Gaute, Verreycken, Hugo, Vintsek, Lizaveta, Wei, Hui, Weiperth, Andras, Wey, Olaf L. F., Winter, Emily R., Wlodarczyk, Radoslaw, Wood, Louisa E., Yang, Ruibin, Yapici, Sercan, Yeo, Shayne S. B., Yogurtcuoglu, Baran, Yunnie, Anna L. E., Zhu, Yunjie, Zieba, Grzegorz, Zitnanova, Kristina, Clarke, Stacey, Vilizzi, Lorenzo, Copp, Gordon H., Hill, Jeffrey E., Adamovich, Boris, Aislabie, Luke, Akin, Daniel, Al-Faisal, Abbas J., Almeida, David, Azmai, M. N. Amal, Bakiu, Rigers, Bellati, Adriana, Bernier, Renee, Bies, Jason M., Bilge, Gokcen, Branco, Paulo, Bui, Thuyet D., Canning-Clode, Joao, Cardoso Ramos, Henrique Anatole, Castellanos-Galindo, Gustavo A., Castro, Nuno, Chaichana, Ratcha, Chainho, Paula, Chan, Joleen, Cunico, Almir M., Curd, Amelia, Dangchana, Punyanuch, Dashinov, Dimitriy, Davison, Phil, I, Mariele P. de Camargo, Dodd, Jennifer A., Donahou, Allison L. Durland, Edsman, Lennart, Ekmekci, F. Guler, Elphinstone-Davis, Jessica, Eros, Tibor, Evangelista, Charlotte, Fenwick, Gemma, Ferincz, Arpad, Ferreira, Teresa, Feunteun, Eric, Filiz, Halit, Forneck, Sandra C., Gajduchenko, Helen S., Monteiro, Joao Gama, Gestoso, Ignacio, Giannetto, Daniela, Gilles, Allan S., Jr., Gizzi, Francesca, Glamuzina, Branko, Glamuzina, Luka, Goldsmit, Jesica, Gollasch, Stephan, Goulletquer, Philippe, Grabowska, Joanna, Harmer, Rogan, Haubrock, Phillip J., He, Dekui, Hean, Jeffrey W., Herczeg, Gabor, Howland, Kimberly L., Ilhan, Ali, Interesova, Elena, Jakubcinova, Katarina, Jelmert, Anders, Johnsen, Stein, I, Kakareko, Tomasz, Kanongdate, Kamalaporn, Killi, Nurcin, Kim, Jeong-Eun, Kirankaya, Serife Gulsun, Knazovicka, Dominika, Kopecky, Oldrich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kuljanishvili, Tatia, Kumar, Biju, Kumar, Lohith, Kurita, Yoshihisa, Kurtul, Irmak, Lazzaro, Lorenzo, Lee, Laura, Lehtiniemi, Maiju, Leonardi, Giovanni, Leuven, Rob S. E. W., Li, Shan, Lipinskaya, Tatsiana, Liu, Fei, Lloyd, Lance, Lorenzoni, Massimo, Luna, Sergio Alberto, Lyons, Timothy J., Magellan, Kit, Malmstrom, Martin, Marchini, Agnese, Marr, Sean M., Masson, Gerard, Masson, Laurence, McKenzie, Cynthia H., Memedemin, Daniyar, Mendoza, Roberto, Minchin, Dan, Miossec, Laurence, Moghaddas, Seyed Daryoush, Moshobane, Moleseng C., Mumladze, Levan, Naddafi, Rahmat, Najafi-Majd, Elnaz, Nastase, Aurel, Navodaru, Ion, Neal, J. Wesley, Nienhuis, Sarah, Nimtim, Matura, Nolan, Emma T., Occhipinti-Ambrogi, Anna, Ojaveer, Henn, Olenin, Sergej, Olsson, Karin, Onikura, Norio, O'Shaughnessy, Kathryn, Paganelli, Daniele, Parretti, Paola, Patoka, Jiri, Jr, Richard Thomas B. Pavia, Pellitteri-Rosa, Daniele, Pelletier-Rousseau, Michele, Peralta, Elfritzson M., Perdikaris, Costas, Pietraszewski, Dariusz, Piria, Marina, Pitois, Sophie, Pompei, Laura, Poulet, Nicolas, Preda, Cristina, Puntila-Dodd, Riikka, Qashqaei, Ali T., Radocaj, Tena, Rahmani, Hossein, Raj, Smrithy, Reeves, David, Ristovska, Milica, Rizevsky, Viktor, Robertson, D. Ross, Robertson, Peter, Ruykys, Laura, Sab, Abdulwakil. O, Santos, Jose M., Sari, Hasan M., Segurado, Pedro, Semenchenko, Vitaliy, Senanan, Wansuk, Simard, Nathalie, Simonovic, Predrag, Skora, MichalE, Svolikova, Kristina Slovak, Smeti, Evangelia, Smidova, Tereza, Spelic, Ivan, Srebaliene, Greta, Stasolla, Gianluca, Stebbing, Paul, Stevove, Barbora, Suresh, Vettath R., Szajbert, Bettina, Ta, Kieu Anh T., Tarkan, Ali Serhan, Tempesti, Jonathan, Therriault, Thomas W., Tidbury, Hannah J., Top-Karakus, Nildeniz, Tricarico, Elena, Troca, DeboraF A., Tsiamis, Konstantinos, Tuckett, Quenton M., Tutman, Pero, Uyan, Umut, Uzunova, Eliza, Vardakas, Leonidas, Velle, Gaute, Verreycken, Hugo, Vintsek, Lizaveta, Wei, Hui, Weiperth, Andras, Wey, Olaf L. F., Winter, Emily R., Wlodarczyk, Radoslaw, Wood, Louisa E., Yang, Ruibin, Yapici, Sercan, Yeo, Shayne S. B., Yogurtcuoglu, Baran, Yunnie, Anna L. E., Zhu, Yunjie, Zieba, Grzegorz, Zitnanova, Kristina, and Clarke, Stacey

Abstract

The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be r

Published
2022

4. A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

Author

Vilizzi, Lorenzo, Copp, Gordon H., Hill, Jeffrey E., Adamovich, Boris, Aislabie, Luke, Akin, Daniel, Al-Faisal, Abbas J., Almeida, David, Azmai, M.N. Amal, Bakiu, Rigers, Bellati, Adriana, Bernier, Renée, Bies, Jason M., Bilge, Gökçen, Branco, Paulo, Bui, Thuyet D., Canning Clode, João, Cardoso Ramos, Henrique Anatole, Castellanos Galindo, Gustavo A., Castro, Nuno, Chaichana, Ratcha, Chainho, Paula, Chan, Joleen, Cunico, Almir M., Curd, Amelia, Dangchana, Punyanuch, Dashinov, Dimitriy, Davison, Phil I., De Camargo, Mariele P., Dodd, Jennifer A., Durland Donahou, Allison L., Edsman, Lennart, Ekmekçi, F. Güler, Elphinstone Davis, Jessica, Erős, Tibor, Evangelista, Charlotte, Fenwick, Gemma, Ferincz, Árpád, Ferreira, Teresa, Feunteun, Eric, Filiz, Halit, Forneck, Sandra C., Gajduchenko, Helen S., Gama Monteiro, João, Gestoso, Ignacio, Giannetto, Daniela, Gilles, Allan S., Gizzi, Francesca, Glamuzina, Branko, Glamuzina, Luka, Goldsmit, Jesica, Gollasch, Stephan, Goulletquer, Philippe, Grabowska, Joanna, Harmer, Rogan, Haubrock, Phillip J., He, Dekui, Hean, Jeffrey W., Herczeg, Gábor, Howland, Kimberly L., Ilhan, Ali, Interesova, Elena, Jakubčinová, Katarína, Jelmert, Anders, Johnsen, Stein I., Kakareko, Tomasz, Kanongdate, Kamalaporn, Killi, Nurçin, Kim, Jeong-Eun, Kırankaya, Şerife Gülsün, Kňazovická, Dominika, Kopecký, Oldřich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kuljanishvili, Tatia, Kumar, Biju, Kumar, Lohith, Kurita, Yoshihisa, Kurtul, Irmak, Lazzaro, Lorenzo, Lee, Laura, Lehtiniemi, Maiju, Leonardi, Giovanni, Leuven, Rob S.E.W., Li, Shan, Lipinskaya, Tatsiana, Liu, Fei, Lloyd, Lance, Lorenzoni, Massimo, Luna, Sergio Alberto, Lyons, Timothy J., Magellan, Kit, Malmstrøm, Martin, Marchini, Agnese, Marr, Sean M., Masson, Gérard, Masson, Laurence, McKenzie, Cynthia H., Memedemin, Daniyar, Mendoza, Roberto, Minchin, Dan, Miossec, Laurence, Moghaddas, Seyed Daryoush, Moshobane, Moleseng C., Mumladze, Levan, Naddafi, Rahmat, Najafi-Majd, Elnaz, Năstase, Aurel, Năvodaru, Ion, Neal, J. Wesley, Nienhuis, Sarah, Nimtim, Matura, Nolan, Emma T., Occhipinti Ambrogi, Anna, Ojaveer, Henn, Olenin, Sergej, Olsson, Karin, Onikura, Norio, O'Shaughnessy, Kathryn, Paganelli, Daniele, Parretti, Paola, Patoka, Jiří, Pavia, Richard Thomas B., Pellitteri Rosa, Daniele, Pelletier Rousseau, Michèle, Peralta, Elfritzson M., Perdikaris, Costas, Pietraszewski, Dariusz, Piria, Marina, Pitois, Sophie, Pompei, Laura, Poulet, Nicolas, Preda, Cristina, Puntila Dodd, Riikka, Qashqaei, Ali T., Radočaj, Tena, Rahmani, Hossein, Raj, Smrithy, Reeves, David, Ristovska, Milica, Rizevsky, Viktor, Robertson, D. Ross, Robertson, Peter, Ruykys, Laura, Saba, Abdulwakil O., Santos, José M., Sarı, Hasan M., Segurado, Pedro, Semenchenko, Vitaliy, Senanan, Wansuk, Simard, Nathalie, Simonović, Predrag, Skóra, Michał E., Slovák Švolíková, Kristína, Smeti, Evangelia, Smídová, Tereza, Spelić, Ivan, Srėbalienė, Greta, Stasolla, Gianluca, Stebbing, Paul, Stevove, Barbora, Suresh, Vettath R., Szajbert, Bettina, Ta, Kieu Anh T., Tarkan, Ali Serhan, Tempesti, Jonathan, Therriault, Thomas W., Tidbury, Hannah J., Top Karakuş, Nildeniz, Tricarico, Elena, Troca, Débora F.A., Tsiamis, Konstantinos, Tuckett, Quenton M., Tutman, Pero, Uyan, Umut, Uzunova, Eliza, Vardakas, Leonidas, Velle, Gaute, Verreycken, Hugo, Vintsek, Lizaveta, Wei, Hui, Weiperth, András, Weyl, Olaf L.F., Winter, Emily R., Włodarczyk, Radosław, Wood, Louisa E., Yang, Ruibin, Yapıcı, Sercan, Yeo, Shayne S.B., Yoğurtçuoğlu, Baran, Yunnie, Anna L.E., Zhu, Yunjie, Zięba, Grzegorz, Zitňanová, Kristína, Clarke, Stacey, Vilizzi, Lorenzo, Copp, Gordon H., Hill, Jeffrey E., Adamovich, Boris, Aislabie, Luke, Akin, Daniel, Al-Faisal, Abbas J., Almeida, David, Azmai, M.N. Amal, Bakiu, Rigers, Bellati, Adriana, Bernier, Renée, Bies, Jason M., Bilge, Gökçen, Branco, Paulo, Bui, Thuyet D., Canning Clode, João, Cardoso Ramos, Henrique Anatole, Castellanos Galindo, Gustavo A., Castro, Nuno, Chaichana, Ratcha, Chainho, Paula, Chan, Joleen, Cunico, Almir M., Curd, Amelia, Dangchana, Punyanuch, Dashinov, Dimitriy, Davison, Phil I., De Camargo, Mariele P., Dodd, Jennifer A., Durland Donahou, Allison L., Edsman, Lennart, Ekmekçi, F. Güler, Elphinstone Davis, Jessica, Erős, Tibor, Evangelista, Charlotte, Fenwick, Gemma, Ferincz, Árpád, Ferreira, Teresa, Feunteun, Eric, Filiz, Halit, Forneck, Sandra C., Gajduchenko, Helen S., Gama Monteiro, João, Gestoso, Ignacio, Giannetto, Daniela, Gilles, Allan S., Gizzi, Francesca, Glamuzina, Branko, Glamuzina, Luka, Goldsmit, Jesica, Gollasch, Stephan, Goulletquer, Philippe, Grabowska, Joanna, Harmer, Rogan, Haubrock, Phillip J., He, Dekui, Hean, Jeffrey W., Herczeg, Gábor, Howland, Kimberly L., Ilhan, Ali, Interesova, Elena, Jakubčinová, Katarína, Jelmert, Anders, Johnsen, Stein I., Kakareko, Tomasz, Kanongdate, Kamalaporn, Killi, Nurçin, Kim, Jeong-Eun, Kırankaya, Şerife Gülsün, Kňazovická, Dominika, Kopecký, Oldřich, Kostov, Vasil, Koutsikos, Nicholas, Kozic, Sebastian, Kuljanishvili, Tatia, Kumar, Biju, Kumar, Lohith, Kurita, Yoshihisa, Kurtul, Irmak, Lazzaro, Lorenzo, Lee, Laura, Lehtiniemi, Maiju, Leonardi, Giovanni, Leuven, Rob S.E.W., Li, Shan, Lipinskaya, Tatsiana, Liu, Fei, Lloyd, Lance, Lorenzoni, Massimo, Luna, Sergio Alberto, Lyons, Timothy J., Magellan, Kit, Malmstrøm, Martin, Marchini, Agnese, Marr, Sean M., Masson, Gérard, Masson, Laurence, McKenzie, Cynthia H., Memedemin, Daniyar, Mendoza, Roberto, Minchin, Dan, Miossec, Laurence, Moghaddas, Seyed Daryoush, Moshobane, Moleseng C., Mumladze, Levan, Naddafi, Rahmat, Najafi-Majd, Elnaz, Năstase, Aurel, Năvodaru, Ion, Neal, J. Wesley, Nienhuis, Sarah, Nimtim, Matura, Nolan, Emma T., Occhipinti Ambrogi, Anna, Ojaveer, Henn, Olenin, Sergej, Olsson, Karin, Onikura, Norio, O'Shaughnessy, Kathryn, Paganelli, Daniele, Parretti, Paola, Patoka, Jiří, Pavia, Richard Thomas B., Pellitteri Rosa, Daniele, Pelletier Rousseau, Michèle, Peralta, Elfritzson M., Perdikaris, Costas, Pietraszewski, Dariusz, Piria, Marina, Pitois, Sophie, Pompei, Laura, Poulet, Nicolas, Preda, Cristina, Puntila Dodd, Riikka, Qashqaei, Ali T., Radočaj, Tena, Rahmani, Hossein, Raj, Smrithy, Reeves, David, Ristovska, Milica, Rizevsky, Viktor, Robertson, D. Ross, Robertson, Peter, Ruykys, Laura, Saba, Abdulwakil O., Santos, José M., Sarı, Hasan M., Segurado, Pedro, Semenchenko, Vitaliy, Senanan, Wansuk, Simard, Nathalie, Simonović, Predrag, Skóra, Michał E., Slovák Švolíková, Kristína, Smeti, Evangelia, Smídová, Tereza, Spelić, Ivan, Srėbalienė, Greta, Stasolla, Gianluca, Stebbing, Paul, Stevove, Barbora, Suresh, Vettath R., Szajbert, Bettina, Ta, Kieu Anh T., Tarkan, Ali Serhan, Tempesti, Jonathan, Therriault, Thomas W., Tidbury, Hannah J., Top Karakuş, Nildeniz, Tricarico, Elena, Troca, Débora F.A., Tsiamis, Konstantinos, Tuckett, Quenton M., Tutman, Pero, Uyan, Umut, Uzunova, Eliza, Vardakas, Leonidas, Velle, Gaute, Verreycken, Hugo, Vintsek, Lizaveta, Wei, Hui, Weiperth, András, Weyl, Olaf L.F., Winter, Emily R., Włodarczyk, Radosław, Wood, Louisa E., Yang, Ruibin, Yapıcı, Sercan, Yeo, Shayne S.B., Yoğurtçuoğlu, Baran, Yunnie, Anna L.E., Zhu, Yunjie, Zięba, Grzegorz, Zitňanová, Kristína, and Clarke, Stacey

Abstract

The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be r

Published
2021

5. Mass Flow Rate Measurement of Solids in a Pneumatic Conveying Pipeline in Different Orientations

Author

Lijuan Wang, Yong Yan, and Faisal Abbas

Subjects
Support vector machine, Gas-solid two-phase flow, Computer science, Acoustics, Flow (psychology), Partial mutual information, Pneumatic conveying, Mass flow rate, Pipe orientation, Accelerometer, Industrial and Manufacturing Engineering, Electronic, Optical and Magnetic Materials, Transducer, Mechanics of Materials, Approximation error, lcsh:Electric apparatus and materials. Electric circuits. Electric networks, Range (statistics), Firefly algorithm, lcsh:TK452-454.4, Electrical and Electronic Engineering
Abstract

Extensive work has been undertaken for the mass flow rate measurement of solids in a horizontal or vertical pneumatic conveying pipe. However, flow regime of the two-phase flow is highly influenced by different orientations of the pipe, resulting in different characteristics of sensor signals and hence large errors in mass flow rate measurement using conventional methods. This paper presents a novel technique to measure the mass flow rate of pneumatically conveyed particles in different pipe orientations. A range of low-cost sensors, including an array of electrostatic sensors, a differential-pressure transducer, and an accelerometer, are integrated to form a sensing unit. Data-driven models, based on support vector machine (SVM), are developed to take the selected features from post-processed sensor data and infer the mass flow rate of solids in different pipe orientations. The partial mutual information algorithm is applied to quantify the importance of each feature. The firefly algorithm is used to optimize the selection of useful features and tune the learning parameters in SVM models. Experimental tests were conducted on a pneumatic conveying test rig circulating flour over the mass flow rate of solids from 3.2 ​g/s to 35.8 ​g/s in pipe orientations from 0° to 90°. Performance comparisons are made between the conventional SVM model and the optimised SVM models with the training data from horizontal orientation and different orientations, respectively. Results demonstrate that the relative error and repeatability of the measured mass flow rate of solids with the optimized SVM model are both improved to within ±12%.

Published
2020

6. Unraveling the role of cloud computing in health care system and biomedical sciences

Author

Sonali Sachdeva, Saurabh Bhatia, Ahmed Al Harrasi, Yasir Abbas Shah, Khalid Anwer, Anil K. Philip, Syed Faisal Abbas Shah, Ajmal Khan, and Sobia Ahsan Halim

Subjects
Cloud computing, Health care, Genomics, Proteomics, Metabolomics, Radiology, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Cloud computing has emerged as a transformative force in healthcare and biomedical sciences, offering scalable, on-demand resources for managing vast amounts of data. This review explores the integration of cloud computing within these fields, highlighting its pivotal role in enhancing data management, security, and accessibility. We examine the application of cloud computing in various healthcare domains, including electronic medical records, telemedicine, and personalized patient care, as well as its impact on bioinformatics research, particularly in genomics, proteomics, and metabolomics. The review also addresses the challenges and ethical considerations associated with cloud-based healthcare solutions, such as data privacy and cybersecurity. By providing a comprehensive overview, we aim to assist readers in understanding the significance of cloud computing in modern medical applications and its potential to revolutionize both patient care and biomedical research.

Published
2024
Full Text
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7. Integrating educational theories with virtual reality: Enhancing engineering education and VR laboratories

Author

Syed Faisal Abbas Shah, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir khan, Yazeed Yasin Ghadi, and Habib Hamam

Subjects
Immersive technology, Augmented reality, VR laboratories, Educational theories, Interactive learning, Engineering education, History of scholarship and learning. The humanities, AZ20-999, Social sciences (General), H1-99
Abstract

Immersive technologies, including virtual reality (VR), augmented reality (AR), mixed reality (MR), and extended reality (XR), create realistic digital experiences by overlaying digital elements. This study aims to highlight the benefits of utilizing VR technology in education, particularly in universities and higher education institutions, by integrating VR with educational theories to create engaging and interactive learning experiences that enhance understanding and retention. This review includes a comprehensive analysis of 103 works, synthesizing existing literature to evaluate the suitability of various educational approaches and theories for implementation in VR-based educational applications. The findings emphasize VR's potential to transform learning by providing immersive experiences that bridge different domains and encourage engagement. By integrating learning theory into VR development, meaningful learning environments can be created, improving student understanding and retention across diverse learning settings. The study concludes that the combination of technology and educational theories provides a novel approach to motivate students and foster deep learning in VR laboratories.

Published
2024
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8. A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions.

Author

Vilizzi L, Copp GH, Hill JE, Adamovich B, Aislabie L, Akin D, Al-Faisal AJ, Almeida D, Azmai MNA, Bakiu R, Bellati A, Bernier R, Bies JM, Bilge G, Branco P, Bui TD, Canning-Clode J, Cardoso Ramos HA, Castellanos-Galindo GA, Castro N, Chaichana R, Chainho P, Chan J, Cunico AM, Curd A, Dangchana P, Dashinov D, Davison PI, de Camargo MP, Dodd JA, Durland Donahou AL, Edsman L, Ekmekçi FG, Elphinstone-Davis J, Erős T, Evangelista C, Fenwick G, Ferincz Á, Ferreira T, Feunteun E, Filiz H, Forneck SC, Gajduchenko HS, Gama Monteiro J, Gestoso I, Giannetto D, Gilles AS Jr, Gizzi F, Glamuzina B, Glamuzina L, Goldsmit J, Gollasch S, Goulletquer P, Grabowska J, Harmer R, Haubrock PJ, He D, Hean JW, Herczeg G, Howland KL, İlhan A, Interesova E, Jakubčinová K, Jelmert A, Johnsen SI, Kakareko T, Kanongdate K, Killi N, Kim JE, Kırankaya ŞG, Kňazovická D, Kopecký O, Kostov V, Koutsikos N, Kozic S, Kuljanishvili T, Kumar B, Kumar L, Kurita Y, Kurtul I, Lazzaro L, Lee L, Lehtiniemi M, Leonardi G, Leuven RSEW, Li S, Lipinskaya T, Liu F, Lloyd L, Lorenzoni M, Luna SA, Lyons TJ, Magellan K, Malmstrøm M, Marchini A, Marr SM, Masson G, Masson L, McKenzie CH, Memedemin D, Mendoza R, Minchin D, Miossec L, Moghaddas SD, Moshobane MC, Mumladze L, Naddafi R, Najafi-Majd E, Năstase A, Năvodaru I, Neal JW, Nienhuis S, Nimtim M, Nolan ET, Occhipinti-Ambrogi A, Ojaveer H, Olenin S, Olsson K, Onikura N, O'Shaughnessy K, Paganelli D, Parretti P, Patoka J, Pavia RTB Jr, Pellitteri-Rosa D, Pelletier-Rousseau M, Peralta EM, Perdikaris C, Pietraszewski D, Piria M, Pitois S, Pompei L, Poulet N, Preda C, Puntila-Dodd R, Qashqaei AT, Radočaj T, Rahmani H, Raj S, Reeves D, Ristovska M, Rizevsky V, Robertson DR, Robertson P, Ruykys L, Saba AO, Santos JM, Sarı HM, Segurado P, Semenchenko V, Senanan W, Simard N, Simonović P, Skóra ME, Slovák Švolíková K, Smeti E, Šmídová T, Špelić I, Srėbalienė G, Stasolla G, Stebbing P, Števove B, Suresh VR, Szajbert B, Ta KAT, Tarkan AS, Tempesti J, Therriault TW, Tidbury HJ, Top-Karakuş N, Tricarico E, Troca DFA, Tsiamis K, Tuckett QM, Tutman P, Uyan U, Uzunova E, Vardakas L, Velle G, Verreycken H, Vintsek L, Wei H, Weiperth A, Weyl OLF, Winter ER, Włodarczyk R, Wood LE, Yang R, Yapıcı S, Yeo SSB, Yoğurtçuoğlu B, Yunnie ALE, Zhu Y, Zięba G, Žitňanová K, and Clarke S

Subjects
Animals, Aquatic Organisms, Climate Change, Fresh Water, Ecosystem, Introduced Species
Abstract

The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a 'very high risk' of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate 'rapid' management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2021
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