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1. Universal Bovine Identification via Depth Data and Deep Metric Learning

Author

Sharma, Asheesh, Randewich, Lucy, Andrew, William, Hannuna, Sion, Campbell, Neill, Mullan, Siobhan, Dowsey, Andrew W., Smith, Melvyn, Hansen, Mark, and Burghardt, Tilo

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associated code, datasets, and training weights for immediate reproducibility. An increase in herd size skews the cow-to-human ratio at the farm and makes the manual monitoring of individuals more challenging. Therefore, real-time cattle identification is essential for the farms and a crucial step towards precision livestock farming. Underpinned by our previous work, this paper introduces a deep-metric learning method for cattle identification using depth data from an off-the-shelf 3D camera. The method relies on CNN and MLP backbones that learn well-generalised embedding spaces from the body shape to differentiate individuals -- requiring neither species-specific coat patterns nor close-up muzzle prints for operation. The network embeddings are clustered using a simple algorithm such as $k$-NN for highly accurate identification, thus eliminating the need to retrain the network for enrolling new individuals. We evaluate two backbone architectures, ResNet, as previously used to identify Holstein Friesians using RGB images, and PointNet, which is specialised to operate on 3D point clouds. We also present CowDepth2023, a new dataset containing 21,490 synchronised colour-depth image pairs of 99 cows, to evaluate the backbones. Both ResNet and PointNet architectures, which consume depth maps and point clouds, respectively, led to high accuracy that is on par with the coat pattern-based backbone., Comment: LaTeX, 38 pages, 14 figures, 3 tables

Published
2024

4. Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix Jo-Bamba, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H. Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J., Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice Ann, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P., Gallagher, Hugh, Game, David, Garcia, Eva Lozano, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P.J., Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A., Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Frankl, Fiona Karet, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P., Maggie Lai, Ling Wai, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J., Mark, Patrick B., Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM., Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J., Persu, Alexandre, Petchey, William G., Pickering, Matthew C., Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian SD., Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, R.N., Sandu, Kanwaljit S., Sarween, Nadia, Sayer, John A., Sebire, Neil, Selvaskandan, Haresh, Shah, Sapna, Sharma, Asheesh, Sharples, Edward J., Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A. Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B., Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin Iain, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H., Wilson, Patricia D., Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Griffin, Sian, Hall, Matt, Karet Frankl, Fiona, Maher, Eamonn R., Pinney, Jenny, Tam, Frederick W.K., Wilson, Patricia, Sy, Karla Therese L., Huang, Kui, Ye, Jamie, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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5. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J, Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P, Gallagher, Hugh, Game, David, Garcia, Eva, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P J, Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A, Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Karet Frankl, Fiona, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P, Lai, Ling Wai Maggie, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J, Mark, Patrick B, Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM, Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J, Persu, Alexandre, Petchey, William G, Pickering, Matthew C, Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian S D, Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, Richard, Sandu, Kanwaljit S, Sarween, Nadia, Sayer, John A, Sebire, Neil, Selvaskandan, Haresh, Sharma, Asheesh, Sharples, Edward J, Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B, Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin I, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H, Wilson, Patricia D, Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Chrysochou, Constantina, Griffin, Sian, Hall, Matt, Maher, Eamonn R, Pinney, Jenny, Tam, Frederick W K, Turner, Andrew Neil, Wilson, Patricia, Taylor, Christopher Mark, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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6. Description and cross-sectional analyses of 25,880 adults and children in the UK National Registry of Rare Kidney Diseases cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Masoud, Sherry, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Coward, Richard J., additional, Chrysochou, Tina, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R., additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A., additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W.K., additional, Thomas, Kay, additional, Turner, A. Neil, additional, Walsh, Stephen B., additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Jo-Bamba Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Bramham, Kate, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H. Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice Ann, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gale, Daniel P., additional, Gallagher, Hugh, additional, Garcia, Eva Lozano, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P.J., additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A., additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Frankl, Fiona Karet, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P., additional, Maggie Lai, Ling Wai, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J., additional, Mark, Patrick B., additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM., additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J., additional, Persu, Alexandre, additional, Petchey, William G., additional, Pickering, Matthew C., additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian SD., additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Saleem, Moin, additional, Sandford, R.N., additional, Sandu, Kanwaljit S., additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Shah, Sapna, additional, Sharma, Asheesh, additional, Sharples, Edward J., additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin Iain, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H., additional, Wilson, Patricia D., additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, Wright, David, additional, Sy, Karla Therese L., additional, Huang, Kui, additional, Ye, Jamie, additional, Nitsch, Dorothea, additional, and Bockenhauer, Detlef, additional

Published
2024
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7. Flood Susceptibility Mapping Using GIS-Based Frequency Ratio and Shannon's Entropy Index Bivariate Statistical Models: A Case Study of Chandrapur District, India.

Author

Sharma, Asheesh, Poonia, Mandeep, Rai, Ankush, Biniwale, Rajesh B., Tügel, Franziska, Holzbecher, Ekkehard, and Hinkelmann, Reinhard

Subjects
*UNCERTAINTY (Information theory), *FLOOD risk, *NATURAL disasters, *STATISTICAL models, *FLOODS
Abstract

Flooding poses a significant threat as a prevalent natural disaster. To mitigate its impact, identifying flood-prone areas through susceptibility mapping is essential for effective flood risk management. This study conducted flood susceptibility mapping (FSM) in Chandrapur district, Maharashtra, India, using geographic information system (GIS)-based frequency ratio (FR) and Shannon's entropy index (SEI) models. Seven flood-contributing factors were considered, and historical flood data were utilized for model training and testing. Model performance was evaluated using the area under the curve (AUC) metric. The AUC values of 0.982 for the SEI model and 0.966 for the FR model in the test dataset underscore the robust performance of both models. The results revealed that 5.4% and 8.1% (FR model) and 3.8% and 7.6% (SEI model) of the study area face very high and high risks of flooding, respectively. Comparative analysis indicated the superiority of the SEI model. The key limitations of the models are discussed. This study attempted to simplify the process for the easy and straightforward implementation of FR and SEI statistical flood susceptibility models along with key insights into the flood vulnerability of the study region. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Chrysochou, Constantina, additional, Coward, Richard J, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R, additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A, additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W K, additional, Turner, Andrew Neil, additional, Walsh, Stephen B, additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Taylor, Christopher Mark, additional, Nitsch, Dorothea, additional, Saleem, Moin, additional, Bockenhauer, Detlef, additional, Bramham, Kate, additional, Gale, Daniel P, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Chrysochou, Tina, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gallagher, Hugh, additional, Garcia, Eva, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P J, additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A, additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P, additional, Lai, Ling Wai Maggie, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J, additional, Mark, Patrick B, additional, Masoud, Sherry, additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM, additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J, additional, Persu, Alexandre, additional, Petchey, William G, additional, Pickering, Matthew C, additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian S D, additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Sandford, Richard, additional, Sandu, Kanwaljit S, additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Sharma, Asheesh, additional, Sharples, Edward J, additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Thomas, Kay, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin I, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H, additional, Wilson, Patricia D, additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, and Wright, David, additional

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2024
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Author

Agarwal, Sneha, Agnihotri, Ashwani Kumar, Bakori, Darshan, Balakrishnan, Krishnachandran, Baltas, Pavlos, Bassill, Nick P., Biniwale, Rajesh, Chakraborty, Soumya, Chalkias, Christos, Chaturvedi, A., Chauhan, Aashri, Dhyani, Shalini, Diksha, Dosiadis, Evangelos A., Dubey, Surya Bhushan, Ekka, Pawan, Faka, Antigoni, Farooq, Majid, Gaur, Shishir, Govil, Himanshu, Guha, Subhanil, Janipella, Ramesh, Kadaverugu, Rakesh, Kanga, Shruti, Kapley, Atya, Kotecha, Mit J., Kumar, Amit, Kumar, Deepak, Kumar, Nirmal, Kumar Singh, Sudhir, Lal, Preet, Liakos, Leonidas, Mall, Rajesh Kumar, Matli, Chandrasekhar, Maurya, Neeraj K., Meraj, Gowhar, Mishra, Anurag, Mohanty, Smrutisikha, Mukherjee, Sudipta, Ohri, Anurag, Onose, Diana Andrea, Pandey, Arvind Chandra, Pandey, Manish, Pandey, Prem C., Perikamana, Krishna Kumar, Petropoulos, George P., Pipil, Shobhit, Popa, Ana-Maria, Prasad, Alisha, Pujari, Paras, Purkayastha, Saptarshi Dutta, Rai, Ankush, Rankavat, Shalini, Saikia, Purabi, Sandric, Ionut, Sharma, Asheesh, Shilky, Shukla, Jayshree, Singh, Nidhi, Singh, Saumya, Singh, Suraj Kumar, Srivastava, Prashant K., Stathakis, Dimitrios, Tripathy, Pratyush, Upreti, Manjari, and Wasim, Md.

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2024
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