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1,696 results on '"Lamb, Christopher"'

2. Monitoring immunE DysregulAtion foLLowing Immune checkpOint-inhibitioN (MEDALLION): protocol for an observational cancer immunotherapy cohort study

Author

Gault, Abigail, Hogarth, Linda, Williams, Kristian C, Greystoke, Alastair, Rajan, Neil, Speight, Ally, Lamb, Christopher A, Bridgewood, Alison, Brown-Schofield, Lisa-Jayne, Rayner, Fiona, Isaacs, John D, Nsengimana, Jérémie, Stewart, Christopher J, Anderson, Amy E, Plummer, Ruth, and Pratt, Arthur G

Published
2024
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3. Ising Meson Spectroscopy on a Noisy Digital Quantum Simulator

Author

Lamb, Christopher, Tang, Yicheng, Davis, Robert, and Roy, Ananda

Subjects
Quantum Physics, Condensed Matter - Mesoscale and Nanoscale Physics, High Energy Physics - Experiment
Abstract

Quantum simulation has the potential to be an indispensable technique for the investigation of non-perturbative phenomena in strongly-interacting quantum field theories (QFTs). In the modern quantum era, with Noisy Intermediate Scale Quantum~(NISQ) simulators widely available and larger-scale quantum machines on the horizon, it is natural to ask: what non-perturbative QFT problems can be solved with the existing quantum hardware? We show that existing noisy quantum machines can be used to analyze the energy spectrum of a large family of strongly-interacting 1+1D QFTs. The latter exhibit a wide-range of non-perturbative effects like `quark confinement' and `false vacuum decay' which are typically associated with higher-dimensional QFTs of elementary particles. We perform quench experiments on IBM's ibmq_mumbai quantum simulator to compute the energy spectrum of 1+1D quantum Ising model with a longitudinal field. The latter model is particularly interesting due to the formation of mesonic bound states arising from a confining potential for the Ising domain-walls, reminiscent of t'Hooft's model of two-dimensional quantum chromodynamics. Our results demonstrate that digital quantum simulation in the NISQ era has the potential to be a viable alternative to numerical techniques such as density matrix renormalization group or the truncated conformal space methods for analyzing QFTs., Comment: 4 figures, version accepted in Nature Communications

Published
2023
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5. The way ahead for human terrain teams

Author

Lamb, Christopher J., and others

Subjects
CULTURAL RELATIONS - Lessons Learned, AMERICANS IN FOREIGN COUNTRIES, TRAINING AND DOCTRINE COMMAND, AFGHANISTAN - Social Life and Customs, COUNTERINSURGENCY - Study and Teaching
Abstract

illus tab bibliog

Published
2013

8. Reforming Pentagon decisionmaking

Author

Lamb, Christopher J. and Lachow, Irving

Subjects
DECISION MAKING, MILITARY POLICY - United States, DEFENSE DEPT - United States - Organization
Abstract

chart illus bibliog

Published
2006

12. Movement Optimization Through Musculoskeletal Modeling and Multidimensional Surface Interpolation

Author

Walck, Christine, Lamb, Christopher, Vilches, Pablo, Tavares, João Manuel R. S., Series Editor, Jorge, Renato Natal, Series Editor, Cohen, Laurent, Editorial Board Member, Doblare, Manuel, Editorial Board Member, Frangi, Alejandro, Editorial Board Member, Garcia-Aznar, Jose Manuel, Editorial Board Member, Holzapfel, Gerhard A., Editorial Board Member, Hughes, Thomas J.R., Editorial Board Member, Kamm, Roger, Editorial Board Member, Li, Shuo, Editorial Board Member, Löhner, Rainald, Editorial Board Member, Nithiarasu, Perumal, Editorial Board Member, Oñate, Eugenio, Editorial Board Member, Perales, Francisco J., Editorial Board Member, Prendergast, Patrick J., Editorial Board Member, Tamma, Kumar K., Editorial Board Member, Vilas-Boas, Joao Paulo, Editorial Board Member, Weiss, Jeffrey, Editorial Board Member, Zhang, Yongjie Jessica, Editorial Board Member, Bourauel, Christoph, editor, Geris, Liesbet, editor, and Vander Slote, Jos, editor

Published
2023
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14. Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security

Author

Smith, Michael R., Johnson, Nicholas T., Ingram, Joe B., Carbajal, Armida J., Ramyaa, Ramyaa, Domschot, Evelyn, Lamb, Christopher C., Verzi, Stephen J., and Kegelmeyer, W. Philip

Subjects
Computer Science - Cryptography and Security, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Despite the potential of Machine learning (ML) to learn the behavior of malware, detect novel malware samples, and significantly improve information security (InfoSec) we see few, if any, high-impact ML techniques in deployed systems, notwithstanding multiple reported successes in open literature. We hypothesize that the failure of ML in making high-impacts in InfoSec are rooted in a disconnect between the two communities as evidenced by a semantic gap---a difference in how executables are described (e.g. the data and features extracted from the data). Specifically, current datasets and representations used by ML are not suitable for learning the behaviors of an executable and differ significantly from those used by the InfoSec community. In this paper, we survey existing datasets used for classifying malware by ML algorithms and the features that are extracted from the data. We observe that: 1) the current set of extracted features are primarily syntactic, not behavioral, 2) datasets generally contain extreme exemplars producing a dataset in which it is easy to discriminate classes, and 3) the datasets provide significantly different representations of the data encountered in real-world systems. For ML to make more of an impact in the InfoSec community requires a change in the data (including the features and labels) that is used to bridge the current semantic gap. As a first step in enabling more behavioral analyses, we label existing malware datasets with behavioral features using open-source threat reports associated with malware families. This behavioral labeling alters the analysis from identifying intent (e.g. good vs bad) or malware family membership to an analysis of which behaviors are exhibited by an executable. We offer the annotations with the hope of inspiring future improvements in the data that will further bridge the semantic gap between the ML and InfoSec communities., Comment: 14 pages, 2 Figures, 6 tables

Published
2020

15. HLA-DP on Epithelial Cells Enables Tissue Damage by NKp44+ Natural Killer Cells in Ulcerative Colitis

Author

Akar, Alaa, Flemming, Cornelius, Felix, Flomm, Flosbach, Markus, Jäger, Julia, Jeromin, Niklas, Jung, Johannes, Ohms, Mareike, Reinshagen, Konrad, Rische, Johann, Sagebiel, Adrian, Sandfort, Deborah, Steinert, Fenja, Tomuschat, Christian, Wesche, Jasmin, Shifteh Abedian, Abraham, Clara, Achkar, Jean-Paul, Ahmad, Tariq, Alberts, Rudi, Alizadeh, Behrooz, Amininejad, Leila, Ananthakrishnan, Ashwin N., Andersen, Vibeke, Anderson, Carl A., Andrews, Jane M., Annese, Vito, Aumais, Guy, Baidoo, Leonard, Baldassano, Robert N., Bampton, Peter A., Barclay, Murray, Barrett, Jeffrey C., Bethge, Johannes, Bewshea, Claire, Bis, Joshua C., Bitton, Alain, BK, Thelma, Boucher, Gabrielle, Brain, Oliver, Brand, Stephan, Brant, Steven R., Cheon, Jae Hee, Chew, Angela, Cho, Judy H., Cleynen, Isabelle, Cohain, Ariella, Cooney, Rachel, Croft, Anthony, Daly, Mark J., D'Amato, Mauro, Danese, Silvio, Daryani, Naser Ebrahim, Datta, Lisa Wu, Degenhardt, Frauke, Denapiene, Goda, Denson, Lee A., Devaney, Kathy L., Dewit, Olivier, D'Inca, Renata, Drummond, Hazel E., Dubinsky, Marla, Duerr, Richard H., Edwards, Cathryn, Ellinghaus, David, Ellul, Pierre, Esaki, Motohiro, Essers, Jonah, Ferguson, Lynnette R., Festen, Eleonora A., Fleshner, Philip, Florin, Tim, Franchimont, Denis, Franke, Andre, Fuyuno, Yuta, Gearry, Richard, Georges, Michel, Gieger, Christian, Glas, Jürgen, Goyette, Philippe, Green, Todd, Griffiths, Anne M., Guthery, Stephen L., Hakonarson, Hakon, Halfvarson, Jonas, Hanigan, Katherine, Haritunians, Talin, Hart, Ailsa, Hawkey, Chris, Hayward, Nicholas K., Hedl, Matija, Henderson, Paul, Hold, Georgina L., Hong, Myhunghee, Hu, Xinli, Huang, Hailiang, Hugot, Jean-Pierre, Hui, Ken Y., Imielinski, Marcin, Jazayeri, Omid, Jonaitis, Laimas, Jostins, Luke, Juyal, Garima, Chandra Juyal, Ramesh, Kalla, Rahul, Karlsen, Tom H., Kennedy, Nicholas A., Khan, Mohammed Azam, Kim, Won Ho, Kitazono, Takanari, Kiudelis, Gediminas, Kubo, Michiaki, Kugathasan, Subra, Kupcinskas, Limas, Lamb, Christopher A., de Lange, Katrina M., Latiano, Anna, Laukens, Debby, Lawrance, Ian C., Lee, James C., Lees, Charlie W., Leja, Marcis, Lewis, Nina, Van Limbergen, Johan, Lionetti, Paolo, Liu, Jimmy Z., Louis, Edouard, Luo, Yang, Mahy, Gillian, Malekzadeh, Masoud Mohammad, Malekzadeh, Reza, Mansfield, John, Marriott, Suzie, Massey, Dunecan, Mathew, Christopher G., Matsui, Toshiyuki, McGovern, Dermot P.B., van der Meulen, Andrea, Midha, Vandana, Milgrom, Raquel, Mirzaei, Samaneh, Mitrovic, Mitja, Montgomery, Grant W., Mowat, Craig, Müller, Christoph, Newman, William G., Ng, Aylwin, Ng, Siew C., Evelyn Ng, Sok Meng, Nikolaus, Susanna, Ning, Kaida, Nöthen, Markus, Oikonomou, Ioannis, Okou, David, Orchard, Timothy R., Palmieri, Orazio, Parkes, Miles, Phillips, Anne, Ponsioen, Cyriel Y., Potocnik, Urõs, Poustchi, Hossein, Prescott, Natalie J., Proctor, Deborah D., Radford-Smith, Graham, Rahier, Jean- Francois, Regueiro, Miguel, Reinisch, Walter, Rieder, Florian, Rioux, John D., Roberts, Rebecca, Rogler, Gerhard, Russell, Richard K., Sanderson, Jeremy D., Sans, Miquel, Satsangi, Jack, Schadt, Eric E., Scharl, Michael, Schembri, John, Schreiber, Stefan, Schumm, L. Philip, Scott, Regan, Seielstad, Mark, Shah, Tejas, Sharma, Yashoda, Silverberg, Mark S., Simmons, Alison, Simms, Lisa A., Singh, Abhey, Skieceviciene, Jurgita, van Sommeren, Suzanne, Song, Kyuyoung, Sood, Ajit, Spain, Sarah L., Steinhart, A. Hillary, Stempak, Joanne M., Stronati, Laura, Sung, Joseph J.Y., Targan, Stephan R., Taylor, Kirstin M., Theatre, Emilie, Torkvist, Leif, Torres, Esther A., Tremelling, Mark, Uhlig, Holm H., Umeno, Junji, Vahedi, Homayon, Vasiliauskas, Eric, Velde, Anje ter, Ventham, Nicholas T., Vermeire, Severine, Verspaget, Hein W., De Vos, Martine, Walters, Thomas, Wang, Kai, Wang, Ming-Hsi, Weersma, Rinse K., Wei, Zhi, Whiteman, David, Wijmenga, Cisca, Wilson, David C., Winkelmann, Juliane, Wong, Sunny H., Xavier, Ramnik J., Yamazaki, Keiko, Yang, Suk-Kyun, Ye, Byong Duk, Zeissig, Sebastian, Zhang, Bin, Zhang, Clarence K., Zhang, Hu, Zhang, Wei, Zhao, Hongyu, Zhao, Zhen Z., Baumdick, Martin E., Niehrs, Annika, Schwerk, Maria, Hinrichs, Ole, Jordan-Paiz, Ana, Padoan, Benedetta, Wegner, Lucy H.M., Schloer, Sebastian, Zecher, Britta F., Malsy, Jakob, Joshi, Vinita R., Illig, Christin, Schröder-Schwarz, Jennifer, Möller, Kimberly J., Martin, Maureen P., Yuki, Yuko, Ozawa, Mikki, Sauter, Jürgen, Schmidt, Alexander H., Perez, Daniel, Giannou, Anastasios D., Carrington, Mary, Davis, Randall S., Schumacher, Udo, Sauter, Guido, Huber, Samuel, Puelles, Victor G., Melling, Nathaniel, Altfeld, Marcus, and Bunders, Madeleine J.

Published
2023
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16. Withdrawal of infliximab or concomitant immunosuppressant therapy in patients with Crohn's disease on combination therapy (SPARE): a multicentre, open-label, randomised controlled trial

Author

Andrews, Jane, Sparrow, Miles, Leong, Rupert, Connor, Susan, Radforth-Smith, Graham, De Cruz, Peter, Preiss, Jan, Stallmach, Andrea, Liceni, Thomas, Grip, Olaf, Halfvarson, Jonas, Durai, Dharmaraj, Cummings, Fraser, Seilinger, Christian, Parkes, Miles, Lindsay, James, Lambrecht, Guy, Van Hootegem, Philippe, Rahier, Jean-François, Dewitte, Marie, Hebuterne, Xavier, Chanteloup, Elise, Altwegg, Romain, Nancey, Stephane, Bouguen, Guillaume, Pineton de Chambrun, Guillaume, Poullenot, Floriant, Roblin, Xavier, Louis, Edouard, Resche-Rigon, Matthieu, Laharie, David, Satsangi, Jack, Ding, Nik, Siegmund, Britta, D'Haens, Geert, Picon, Laurence, Bossuyt, Peter, Vuitton, Lucine, Irving, Peter, Viennot, Stephanie, Lamb, Christopher A, Pollok, Richard, Baert, Filip, Nachury, Maria, Fumery, Mathurin, Gilletta, Cyrielle, Almer, Sven, Ben-Horin, Shomron, Bouhnik, Yoram, Colombel, Jean-Frederic, and Hertervig, Erik

Published
2023
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17. Genomic diagnosis and care co-ordination for monogenic inflammatory bowel disease in children and adults: consensus guideline on behalf of the British Society of Gastroenterology and British Society of Paediatric Gastroenterology, Hepatology and Nutrition

Author

Kammermeier, Jochen, Lamb, Christopher A, Jones, Kelsey D J, Anderson, Carl A, Baple, Emma L, Bolton, Chrissy, Braggins, Helen, Coulter, Tanya I, Gilmour, Kimberly C, Gregory, Vicki, Hambleton, Sophie, Hartley, David, Hawthorne, A Barney, Hearn, Sarah, Laurence, Arian, Parkes, Miles, Russell, Richard K, Speight, R Alexander, Travis, Simon, Wilson, David C, and Uhlig, Holm H

Published
2023
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18. Neutralising antibody potency against SARS-CoV-2 wild-type and omicron BA.1 and BA.4/5 variants in patients with inflammatory bowel disease treated with infliximab and vedolizumab after three doses of COVID-19 vaccine (CLARITY IBD): an analysis of a prospective multicentre cohort study

Author

Islam, Madiha, Croft, Nick, Cipriano, Bessie, Francia, Caroline, Khalid, Nosheen, Kingston, Ashley, Lee, Irish, Lehmann, Anouk, Naik, Kinnari, Samuels, Kevin, Plaatjies, Nicolene, Khatun, Hafiza, Bokth, Farjana, Pabriaga, Elise, Saich, Rebecca, Cousins, Hayley, Fraser, Wendy, Thomas, Rachel, Brown, Matthew, White, Benjamin, Kirkineziadis, Nikolaos, Tilley, Bernadette, Porter, Pennie, Bryant, Rachel, Robaczewska, Natalia, Muhammed, Rafeeq, Bi, Rehana, Cotter, Catherine, Grove, Jayne, Hong, Kate, Howman, Ruth, Mitchell, Monica, Clayton, Sophie, Rogers, Louise, Sultan, Sugrah, Rooney, Melanie, Cottrill, Charlotte, Singh, Salil, Dawe, Chris, Hull, Robert, Silva, Natalie, Chadwick, Julie, Robertson, Laura, Manning, Jonathan, Finlayson, Lauren, Roebuck, Allison, Dawson, Joy, Sonwalkar, Sunil, Chambers, Naomi, Robinson, Matthew, Haigh, Andrew, Matapure, Lear, Raine, Tim, George, Varun, Kapizioni, Christina, Strongili, Konstantina, Thompson, Tina, Ahmed, Mohamed, Kontos, Christos, Dawson, Claire, Bourges, Christophe, Barbutti, Isabella, Gozzard, Megan E, Hendy, Philip, Bull, Rhian, Costa, Patricia, Davey, Lisa, Hannington, Hayley, Nundlall, Kribashnie, Martins, Catarina, Avanzi, Laura, Carungcong, Jaime, Barr, Sabrina, Appleby, Richard, Johnson, Emma, Shakweh, Eathar, Phillis, Kath, Gascoyne, Rachel, Crowder, Amanda, Whileman, Amanda, London, Ian, Grounds, Jenny, Martin, Emmeline, Pajak, Susie, Price, Jude, Cawley, Kathryn, Powell, Sandra, Kearsley, Nichola, Dhar, Anjan, Brown, Ellen, Cowton, Amanda, Stamp, Kimberley, Warner, Ben, Stuart, Carmel, Lacey, Louise, de Silva, Shanika, Allcock, Clare, Harvey, Philip, Jones, Lesley, Cooke, Elise, Slater, Jayne, King, Dominic, Brooks, Johanne, Baker, Pearl, Beadle, Hannah, Cruz, Carina, Potter, Debbie, Collum, Joe, Masters, Farzana, Kumar, Aashish, Coetzee, Samantha, Peiu, Mihaela, Icke, Becky, Williams, Jill, Raj, Meena, Gaynor, Edward, Chadokufa, Sibongile, Huggett, Bonita, Meghari, Hamza, El-Khouly, Sara, Kiparissi, Fevronia, Girshab, Waffa, Russell-Walker, Lynda, Jackson, Christopher, Sidler, Sara, Claridge, Andrew, Fowler, Emily, McCafferty, Laura, Haxton, Lesley, Irving, Peter, Christodoulides, Karolina, Clifford, Angela, Dawson, Patrick, Honap, Sailish, Lim, Samuel, Luber, Raphael, Mahiouz, Karina, Meade, Susanna, Raymode, Parizade, Reynolds, Rebecca, Stanton, Anna, Tripoli, Sherill, Hare, Naomi, Odukwe, Sopuluchukwu, Balachandran, Senthuran, North, Emma, North, Jessica, Browne, Bria, Cordle, Jessica, Jameson, Ella, Siaw, Yih Harn, Manzano, Lane, Segal, Jonathan, Al-Bakir, Ibrahim, Khakoo, Imran, Portukhay, Sofiya, Thoua, Nora, Davidson, Katherine, Miah, Jagrul, Canclini, Lisa, Hall, Alex, Furreed, Hassina, Mitchell-Inwang, Christine, Hayes, Melony, Myers, Sally, Talbot, Alison, Turnbull, Jack, Whitehead, Emma, Stamp, Katie, Pattinson, Alison, Mathew, Verghese, Sherris, Leanne, Wilcox, Julie, Ramachandran, Sankaranarayanan, Robertson, Hayley, Harvey, Angela, Hicks, Lucy, Byrne, Tara-Marie, Cabreros, Leilani, Downing-Wood, Hannah, Hunter, Sophie, Saifuddin, Mohammad Aamir, Prabhudev, Hemanth, Balarajah, Sharmili, Krucznski, Jan, Driva, Kalliopi, D'Mello, Andrea, Shah, Parith, Castro-Seoane, Rocio, Ibraheim, Hajir, Constable, Laura E, Lo, Jonathan W, Torkizadeh, Melissa, Hermangild, Sherine K, Sutherland, Helen, Wilhelmsen, Elva, Mackintosh, Katherine, Verma, Ajay M, Sebastian, Juliemol, Peerally, Mohammad Farhad, Guerdette, Anne-marie, Coburn, Susan, Novem lam, Ching Yee, Durrant, Donna, Schaefer, Belinda, Serna, Solange, Shahzad, Muhammad, Kent, Alexandra, Choong, Lee Meng, Pantaloni, Benedetta, Ravdas, Pantelis, Vadamalayan, Babu, Foley, Stephen, Arnold, Becky, Heeley, Cheryl, Lovegrove, Wayne, Sowton, Donna, Allsop, Lynne, Gregory, Heidi, Gill, Mandy, Holmes, Megan, Balan, Valeria, Smith, Susan, Turner, Sarah, Smith, Philip J, Steel, Alan, Bretland, Giovanna, King, Sarah, Lofthouse, Martina, Rigby, Lindsey, Subramanian, Sreedhar, Tyrer, David, Martin, Kate, Probert, Christopher, Kamperidis, Nikolaos, Adedoyin, Temi, Baden, Manisha, Brown, Jeannette, Chacko, Feba, Young, Lisa, Cicchetti, Michela, Saifuddin, Mohammad, Yesupatham, Priya, Gowda, Rohit, Williams, Maureen, Kemp, Karen, Akhand, Rima, Gray, Glaxy, John, Anu, John, Maya, Mohammed, Tasnim, Sathe, Diamond, Jones, Natasha, Soren, Jennifer, Sprakes, Michael, Burton, Julie, Kane, Patricia, Lupton, Stephanie, Bartholomew, Jacqueline, Denis, Elizabeth, Daniels, Alison, MacFaul, George, Scaletta, Diane, Siamia, Loria, Williams, Felicity, Green, Chloe, Ver, Zeljka, Lamb, Chris, Doona, Mary, Hogg, Ashleigh, Jeffrey, Lesley, King, Andrew, Speight, R Alexander, Doyle, Jennifer, Owen, Ruth, Haworth, Jenny, Patterson, Linda, Varnaulasingam, Vithusa, Mowat, Craig, Rice, Debbie, MacFarlane, Susan, MacLeod, Anne, Mohammed, Samera, Murray, Shona, Elliott, Anne, Anne Morris, Mary, Coke, Louise, Hindle, Grace, Kolokouri, Eirini, Wright, Catherine, Lee, Claire, Ward, Nicola, Dann, Adele, Lockett, Melanie, Cranfield, Charlotte, Jennings, Louise, Srivastava, Ankur, Ward, Lana, Jeynes, Nouf, Ranga, Poonam, Rajasekhar, Praveen, Gallagher, Lisa, Ward, Jill, Basnett, Rae, Murphy, Judy, Parking, Lauren, Lawson, Emma, Short, Stacey, Devadason, David, Moran, Gordon, Khan, Neelam, Tarr, Lauren, Olivia, Charmaine, Warbarton, Samantha, Kelly, Sian, Limdi, Jimmy, Goulden, Kay, Javed, Asad, McKenzie, Lauren, Melville, Julie, Liu, Eleanor, Sabine, Joseph, Jacob, Patricia, McSorland, Denise, Schofield, Nick, Cornwall, Lisa, Quirke, James, Crook, Emma, Turner, Anne, Bhandari, Pradeep, Baker-Moffatt, Michelle, Dash, Joanne, Le Poidevin, Alison, Downe, Hayley, Bombeo, Lucille, Blackman, Helen, Smith, Rebecca, Wiles, Alan, Bloxham, Hannah, Dias, Jose, Nadar, Evelyn, Curgenven, Hollie, Gilham, Ellie, Macdonald, Jonathan, Finan, Shona, McMeeken, Faye, Mahmood, Misbah, Shields, Stephanie, Seenan, John Paul, DeSilva, Des, Malkakorpi, Susanna, Carson, Rachel, Lawrence, Holly, Boateng, Ofori, Kpodo, Felix, Whiteoak, Simon, Edger-Earley, Kelli, Vamplew, Luke, Samways, Joanna, Roffe, Sue, Ingram, Sarah, James, Joel, Botfield, Sharon, Hammonds, Fiona, James, Clare, Berry, Zoe, Aspinall, Gemma, Hawkins, Sarah, Parkinson, Marian, Gardner-Thorpe, Helen, Marriott, Suzie, Redstone, Clare, Windak, Halina, Adam, Ana-Marie, Mabb, Hannah, Stevenson, Emma, Record, Jessica, Murray, Charles, Diaba, Cynthia, Joseph, Fexy, Pakou, Glykeria, Gleeson, Yvonne, Nunag, Annalyn, Berrill, James, Stroud, Natalie, Pothecary, Carla, Roche, Lisa, Turner, Keri, Deering, Lisa, Israel, Lynda, Baker, Evelyn, Nash, Maxine, Fagbemi, Andrew, Jennings, Felicia, Mayor, Imelda, Wilson, Jill, Wheeler, Alice, Phillips, Nicola, Gordon, John, Levell, Emma, Zagalo, Silvia, Hoad, Ina, Anil, Bindu, Russell, Richard, Henderson, Paul, Millar, Margaret, Alexakis, Christopher, Michalak, Natalia, Marriott, Cheryl, Stone, Sarah, Pristopan, Veronika, Saunders, John, Burton, Helen, Cambridge, Vanessa, Clark, Tonia, Ekblad, Charlotte, Hierons, Sarah, Katebe, Joyce, Saunsbury, Emma, Perry, Rachel, Brookes, Matthew, Davies, Kathryn, Green, Marie, Plumbe, Ann, Ormerod, Clare, Christensen, Helen, Howlett, Hannah, Keen, Anne, Ogor, Jonathan, Greenhaigh, Marie, Knowles, Karen, Yin, Shanzi, Poulaka, Maria, Anthony, Alpha, Newitt, Emily, Trim, Fiona, Casey, Ruth, Seymour, Katherine, Reed, Catherine, Joy, Lijo, Fogden, Edward, Russell, Kalisha, Hussain, Samia, Phillips, Anne, Abdulla, Muaad, Butterworth, Jeff, Adams, Colene, Carnahan, Mandy, Buckingham, Elizabeth, Childs, Danielle, Magness, Alison, Stickley, Jo, Motherwell, Nichola, Tonks, Louise, Gibson, Hannah, Wistance, Kate, Thomas, Caradog, Brinkworth, Elaine, Connor, Lynda, Cook, Amanda, Rees, Tabitha, Harford, Rachel, Farley, Sean, Jones, Marie, Wesley, Emma, Moss, Alison, Lucas, Jacob, Lorimer, Claire, Oleary, Maria, Dixon, Maxine, Goodchild, Fiona, Twenlow, Rebecca, Pawley, Corinne, Ramadas, Arvind, Tregonning, Julie, Okeke, Olaku, Jackson, Wendy, Koumoutsos, Ioannis, George, Viji, Kunhunny, Swapna, Laverick, Sophie, Anderson, Isla, Smith, Sophie, Joyce, Joan, Janarthan, Sarala, Patel, Kamal, Ali, Mariam, Mhandu, Hilda, Rana, Aleem, Spears, Katherine, Teixeira, Joana, Mencias, Mark, Seaward, Abigail, Sousa, Jessica, Said, Nooria, Soomaroo, Mark, Raspa, Valentina, Tacouri, Asha, Reps, Nicholas, Martin, Rebecca, Samakomva, Tinashe, Selinger, Christian, Carbonell, Jenelyn, Onovira, Felicia, Quartey, Doris, L'Anson, Alice, Ashworth, Andrew, Bailey, Jessica, Dunn, Angie, Bespaloi, Gjuzel, Rasalan, Harold, Mahmood, Zahid, Campbell, Racheal, Marsh, Liane, Coughlan, Tricia, Jafar, Wisam, Marrs, Janet, McPheat, Christopher, Rahman, Monira, Davies, Sarah, Habibi, Ruth, Jessup-Dunton, Ellen, Joefield, Teishel, Layug, Reina, Patel, Vinod, Vere, Joanne, Turner, Victoria, Kilroy, Susan, Coulding, Martina, Clark, Martyn, McCormick, Jacqueline, Nisar, Attiya, Walker, Gareth, Atkins, Stacey, Growdon, Jasmine, George, Becky, McNeill, Charlotte, Reed, Bryony, Foulds, Angela, Marshall, Catherine, Allison, Michele, Dillon, Briony, Cooney, Rachel, Bennett, Lillie, Bowlas, Louise, Shariff, Sharafaath, Fraser, Aileen, Punnette, Dwayne, Lambert, Rebecca, Bishop-Hurman, Charlotte, Undrell, Elizabeth, Belfield, Katherine, Din, Said, Addleton, Catherine, Appleby, Marie, Brown, Johanna, Holding, Kathleen, Fraser, Catherine, Birkenshaw, Janice, Williams, Jodie, Maulion, Kamille, Lane, Meg, Kravale, Arita, Smith, Claud, Hooper, Patricia, deCaestecker, John, Watchorn, Olivia, Clarke, Ellie, Hayward, Chris, Inniss, Susan, Pritchard, Lucy, Rudge, Karen, Carney, Amanda, Griffee, Sarah, Andreyev, Jervoise, Babu, Sathish, Hayhurst, Caroline, Lockwood, Carol, Osborne, Lynn, Roper, Amanda, Warner, Karen, Hindle, Julia, Lawrence, Tara, Netherton, Kimberley, Watt, Caroline, Szymiczek, Kinga, Mehta, Shameer, Bell, James, Blad, William, Whitley, Lisa, Jastrub, Roman, Durai, Dhamaraj, Baker, Mark, John Sivamurugan, Elizabeth, Evans, Mim, Cummings, Fraser, Harris, Clare, Jones, Amy, Krauze, Liga, Rahmany, Sohail, Earl, Michelle, Vowles, Jenny, Torokwa, Audrey, Petrova, Mirela, Procter, Andrew, Stanley, Jo, Silvamoniz, Claudia, Bettey, Marion, Wahid, Amar, Morrison, Zoe, Thomas-Turner, Rhian, Yendle, Louise, Muller, Jennifer, Mitchell, Marcus, Kirkwood, John, Barnes, Anna, Chaudhary, Rakesh, Claridge, Melanie, Ellis, Chiara, Kemp, Cheryl, Tobi, Ogwa, Milton, Jentus, Johnston, Emma, Oblak, Metod, Winpenny, Carmen, Svensson, Marie-Louise, Godden, Jo, Ashhar, Marium, Alexander, Debbie, Covil, Kate, Derikx, Lauranne, Siakavellas, Sryros, Baxter, Helen, Robertson, Scott, Smith, Linda, Poulose, Beena, Colemam, Anne, Balint, Margareta, Rhys-Jones, Gareth, Watters, Helen, Begg, Susan, Grosalcalde, Beatriz, Coyle, Judy, Johns, Kerrie, Hughes, Rachel, Phipps, Janet, Taylor, Abigail, MacPhee, Catherine, Brooks, Suzanne, John, Jolene, Edwards, Michelle, Smith, Katie, Howard, Linda, Wood, Dianne, Muddu, Ajay, Barman, Laura, Mallinson, Janine, Neale, Tania, Ionita, Diana, Elliot, Kerry, Turnball, Alison, Thomas, Iola, Thomas, Alice, Andrews, Kelly, Sutton, Jonathon, Mulvaney Jones, Caroline, Roberts, Julia, Bishop, Jeannie, Liu, Zhigang, Le, Kaixing, Zhou, Xin, Alexander, James L, Lin, Simeng, Bewshea, Claire, Chanchlani, Neil, Nice, Rachel, McDonald, Timothy J, Lamb, Christopher A, Sebastian, Shaji, Kok, Klaartje, Lees, Charlie W, Hart, Ailsa L, Pollok, Richard C, Boyton, Rosemary J, Altmann, Daniel M, Pollock, Katrina M, Goodhand, James R, Kennedy, Nicholas A, Ahmad, Tariq, and Powell, Nick

Published
2023
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21. Large-scale sequencing identifies multiple genes and rare variants associated with Crohn’s disease susceptibility

Author

Sazonovs, Aleksejs, Stevens, Christine R., Venkataraman, Guhan R., Yuan, Kai, Avila, Brandon, Abreu, Maria T., Ahmad, Tariq, Allez, Matthieu, Ananthakrishnan, Ashwin N., Atzmon, Gil, Baras, Aris, Barrett, Jeffrey C., Barzilai, Nir, Beaugerie, Laurent, Beecham, Ashley, Bernstein, Charles N., Bitton, Alain, Bokemeyer, Bernd, Chan, Andrew, Chung, Daniel, Cleynen, Isabelle, Cosnes, Jacques, Cutler, David J., Daly, Allan, Damas, Oriana M., Datta, Lisa W., Dawany, Noor, Devoto, Marcella, Dodge, Sheila, Ellinghaus, Eva, Fachal, Laura, Farkkila, Martti, Faubion, William, Ferreira, Manuel, Franchimont, Denis, Gabriel, Stacey B., Ge, Tian, Georges, Michel, Gettler, Kyle, Giri, Mamta, Glaser, Benjamin, Goerg, Siegfried, Goyette, Philippe, Graham, Daniel, Hämäläinen, Eija, Haritunians, Talin, Heap, Graham A., Hiltunen, Mikko, Hoeppner, Marc, Horowitz, Julie E., Irving, Peter, Iyer, Vivek, Jalas, Chaim, Kelsen, Judith, Khalili, Hamed, Kirschner, Barbara S., Kontula, Kimmo, Koskela, Jukka T., Kugathasan, Subra, Kupcinskas, Juozas, Lamb, Christopher A., Laudes, Matthias, Lévesque, Chloé, Levine, Adam P., Lewis, James D., Liefferinckx, Claire, Loescher, Britt-Sabina, Louis, Edouard, Mansfield, John, May, Sandra, McCauley, Jacob L., Mengesha, Emebet, Mni, Myriam, Moayyedi, Paul, Moran, Christopher J., Newberry, Rodney D., O’Charoen, Sirimon, Okou, David T., Oldenburg, Bas, Ostrer, Harry, Palotie, Aarno, Paquette, Jean, Pekow, Joel, Peter, Inga, Pierik, Marieke J., Ponsioen, Cyriel Y., Pontikos, Nikolas, Prescott, Natalie, Pulver, Ann E., Rahmouni, Souad, Rice, Daniel L., Saavalainen, Päivi, Sands, Bruce, Sartor, R. Balfour, Schiff, Elena R., Schreiber, Stefan, Schumm, L. Philip, Segal, Anthony W., Seksik, Philippe, Shawky, Rasha, Sheikh, Shehzad Z., Silverberg, Mark S., Simmons, Alison, Skeiceviciene, Jurgita, Sokol, Harry, Solomonson, Matthew, Somineni, Hari, Sun, Dylan, Targan, Stephan, Turner, Dan, Uhlig, Holm H., van der Meulen, Andrea E., Vermeire, Séverine, Verstockt, Sare, Voskuil, Michiel D., Winter, Harland S., Young, Justine, Duerr, Richard H., Franke, Andre, Brant, Steven R., Cho, Judy, Weersma, Rinse K., Parkes, Miles, Xavier, Ramnik J., Rivas, Manuel A., Rioux, John D., McGovern, Dermot P. B., Huang, Hailiang, Anderson, Carl A., and Daly, Mark J.

Published
2022
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24. Dynamic Analysis of Executables to Detect and Characterize Malware

Author

Smith, Michael R., Ingram, Joe B., Lamb, Christopher C., Draelos, Timothy J., Doak, Justin E., Aimone, James B., and James, Conrad D.

Subjects
Computer Science - Cryptography and Security, Statistics - Machine Learning
Abstract

It is needed to ensure the integrity of systems that process sensitive information and control many aspects of everyday life. We examine the use of machine learning algorithms to detect malware using the system calls generated by executables-alleviating attempts at obfuscation as the behavior is monitored rather than the bytes of an executable. We examine several machine learning techniques for detecting malware including random forests, deep learning techniques, and liquid state machines. The experiments examine the effects of concept drift on each algorithm to understand how well the algorithms generalize to novel malware samples by testing them on data that was collected after the training data. The results suggest that each of the examined machine learning algorithms is a viable solution to detect malware-achieving between 90% and 95% class-averaged accuracy (CAA). In real-world scenarios, the performance evaluation on an operational network may not match the performance achieved in training. Namely, the CAA may be about the same, but the values for precision and recall over the malware can change significantly. We structure experiments to highlight these caveats and offer insights into expected performance in operational environments. In addition, we use the induced models to gain a better understanding about what differentiates the malware samples from the goodware, which can further be used as a forensics tool to understand what the malware (or goodware) was doing to provide directions for investigation and remediation., Comment: 9 pages, 6 Tables, 4 Figures

Published
2017

25. On the Peripheries of Education: (Not)Learning about Indigenous Peoples in the 1995-2010 British Columbia Curriculum

Author

Lamb, Christopher and Godlewska, Anne

Abstract

This paper analyses the coverage of Indigenous topics in K-12 education in British Columbia (BC) using curriculum documents and course enrolment. It focuses on curriculum documents published between 1995 and 2010 and mandated in public education from 1995 to 2019, and argues that Indigenous topics were marginalized in the curriculum overall. Motivated by decades of work by Indigenous leaders and educators to grapple with non-Indigenous people's prejudices, ignorance, and lack of understanding, the British Columbia Ministry of Education has increasingly recognized the importance of integrating Indigenous topics into core curricula and has offered all students Indigenous Studies course options. However, coverage remained marginalized in the core curriculum and recent curricular revisions have relied increasingly on teachers' voluntary integration of Indigenous topics and meaningful consultation with local Indigenous educators and communities, for which insufficient support and resources are provided by the Education Ministry. The paper explores challenges to the curriculum's ability to combat prejudice, eliminate discrimination and promote tolerance, understanding and good relations among Indigenous and non-Indigenous peoples in the province.

Published
2021
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26. Antibody decay, T cell immunity and breakthrough infections following two SARS-CoV-2 vaccine doses in inflammatory bowel disease patients treated with infliximab and vedolizumab

Author

Lin, Simeng, Kennedy, Nicholas A., Saifuddin, Aamir, Sandoval, Diana Muñoz, Reynolds, Catherine J., Seoane, Rocio Castro, Kottoor, Sherine H., Pieper, Franziska P., Lin, Kai-Min, Butler, David K., Chanchlani, Neil, Nice, Rachel, Chee, Desmond, Bewshea, Claire, Janjua, Malik, McDonald, Timothy J., Sebastian, Shaji, Alexander, James L., Constable, Laura, Lee, James C., Murray, Charles D., Hart, Ailsa L., Irving, Peter M., Jones, Gareth-Rhys, Kok, Klaartje B., Lamb, Christopher A., Lees, Charlie W., Altmann, Daniel M., Boyton, Rosemary J., Goodhand, James R., Powell, Nick, and Ahmad, Tariq

Published
2022
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27. Interleukin-22 regulates neutrophil recruitment in ulcerative colitis and is associated with resistance to ustekinumab therapy

Author

Pavlidis, Polychronis, Tsakmaki, Anastasia, Pantazi, Eirini, Li, Katherine, Cozzetto, Domenico, Digby- Bell, Jonathan, Yang, Feifei, Lo, Jonathan W., Alberts, Elena, Sa, Ana Caroline Costa, Niazi, Umar, Friedman, Joshua, Long, Anna K., Ding, Yuchun, Carey, Christopher D., Lamb, Christopher, Saqi, Mansoor, Madgwick, Matthew, Gul, Leila, Treveil, Agatha, Korcsmaros, Tamas, Macdonald, Thomas T., Lord, Graham M., Bewick, Gavin, and Powell, Nick

Published
2022
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31. Neurogenesis Deep Learning

Author

Draelos, Timothy J., Miner, Nadine E., Lamb, Christopher C., Cox, Jonathan A., Vineyard, Craig M., Carlson, Kristofor D., Severa, William M., James, Conrad D., and Aimone, James B.

Subjects
Computer Science - Neural and Evolutionary Computing, Computer Science - Learning, Statistics - Machine Learning
Abstract

Neural machine learning methods, such as deep neural networks (DNN), have achieved remarkable success in a number of complex data processing tasks. These methods have arguably had their strongest impact on tasks such as image and audio processing - data processing domains in which humans have long held clear advantages over conventional algorithms. In contrast to biological neural systems, which are capable of learning continuously, deep artificial networks have a limited ability for incorporating new information in an already trained network. As a result, methods for continuous learning are potentially highly impactful in enabling the application of deep networks to dynamic data sets. Here, inspired by the process of adult neurogenesis in the hippocampus, we explore the potential for adding new neurons to deep layers of artificial neural networks in order to facilitate their acquisition of novel information while preserving previously trained data representations. Our results on the MNIST handwritten digit dataset and the NIST SD 19 dataset, which includes lower and upper case letters and digits, demonstrate that neurogenesis is well suited for addressing the stability-plasticity dilemma that has long challenged adaptive machine learning algorithms., Comment: 8 pages, 8 figures, Accepted to 2017 International Joint Conference on Neural Networks (IJCNN 2017)

Published
2016
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32. Phase II Feasibility Study of the Efficacy, Tolerability, and Impact on the Gut Microbiome of a Low-Residue (Fiber) Diet in Adult Patients With Mitochondrial Disease

Author

Houghton, David, Ng, Yi Shiau, Jackson, Matthew A., Stefanetti, Renae, Hynd, Paula, Mac Aogáin, Micheál, Stewart, Christopher J., Lamb, Christopher A., Bright, Alexandra, Feeney, Catherine, Newman, Jane, Turnbull, Doug M., McFarland, Robert, Blain, Alasdair P., and Gorman, Gráinne S.

Published
2022
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33. Canadian Colonialism, Ignorance and Education. A Study of Graduating Students at Queen's University

Author

Godlewska, Anne M. C., Schaefli, Laura M., Forcione, Melissa, Lamb, Christopher, Nelson, Elizabeth, and Talan, Breah

Abstract

Canada has long been a colonial country and an extractive economy. In the 20th century, with the adoption of multiculturalism and a global peace keeping mission, the country seemed to embrace a new ethos. However, Canada remains deeply colonial and, in spite of a judiciary that since the repatriation of the Constitution in 1982, increasingly recognizes Indigenous land, resource and identity rights, its economy continues to be extractive, with abiding impacts on the Indigenous peoples of Turtle Island (North America). Our study of the knowledge, ignorance and social attitudes of exiting undergraduate students at Queen's University suggests that students in this part of Canada (Ontario) are educated to misunderstand the fundamental geographies of Indigenous peoples, their land, and their identity. But the contradiction between image and reality is beginning to attract the students' attention and disrupt their sense of being part of a just society.

Published
2020
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34. Characterizing Monomelic Presentations of Demyelinating Neuropathy, or “Chronic Inflammatory Demyelinating Mononeuropathy” (CIDM) (S15.009)

Author

Swart, Grace, primary, Shelly, Shahar, additional, Lamb, Christopher, additional, Pinto, Marcus Vinicius, additional, Beecher, Grayson, additional, Pinto, Catarina Aragon, additional, Klein, Christopher, additional, Engelstad, JaNean, additional, Amrami, Kimberly, additional, Spinner, Robert, additional, and Dyck, P. James B., additional

Published
2024
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36. Defining predictors of responsiveness to advanced therapies in Crohn’s disease and ulcerative colitis: protocol for the IBD-RESPONSE and nested CD-metaRESPONSE prospective, multicentre, observational cohort study in precision medicine

Author

Wyatt, Nicola J, primary, Watson, Hannah, additional, Anderson, Carl A, additional, Kennedy, Nicholas A, additional, Raine, Tim, additional, Ahmad, Tariq, additional, Allerton, Dean, additional, Bardgett, Michelle, additional, Clark, Emma, additional, Clewes, Dawn, additional, Cotobal Martin, Cristina, additional, Doona, Mary, additional, Doyle, Jennifer A, additional, Frith, Katherine, additional, Hancock, Helen C, additional, Hart, Ailsa L, additional, Hildreth, Victoria, additional, Irving, Peter M, additional, Iqbal, Sameena, additional, Kennedy, Ciara, additional, King, Andrew, additional, Lawrence, Sarah, additional, Lees, Charlie W, additional, Lees, Robert, additional, Letchford, Laura, additional, Liddle, Trevor, additional, Lindsay, James O, additional, Maier, Rebecca H, additional, Mansfield, John C, additional, Marchesi, Julian R, additional, McGregor, Naomi, additional, McIntyre, Rebecca E, additional, Ostermayer, Jasmin, additional, Osunnuyi, Tolulope, additional, Powell, Nick, additional, Prescott, Natalie J, additional, Satsangi, Jack, additional, Sharma, Shriya, additional, Shrestha, Tara, additional, Speight, Ally, additional, Strickland, Michelle, additional, Wason, James MS, additional, Whelan, Kevin, additional, Wood, Ruth, additional, Young, Gregory R, additional, Zhang, Xinyue, additional, Parkes, Miles, additional, Stewart, Christopher J, additional, Jostins-Dean, Luke, additional, and Lamb, Christopher A, additional

Published
2024
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38. Deep vein thrombosis and pulmonary embolism among hospitalized coronavirus disease 2019–positive patients predicted for higher mortality and prolonged intensive care unit and hospital stays in a multisite healthcare system

Author

Erben, Young, Franco-Mesa, Camila, Gloviczki, Peter, Stone, William, Quinones-Hinojoas, Alfredo, Meltzer, Andrew J., Lin, Michelle, Greenway, Melanie R.F., Hamid, Osman, Devcic, Zlatko, Toskich, Beau, Ritchie, Charles, Lamb, Christopher J., De Martino, Randall R., Siegel, Jason, Farres, Houssan, Hakaim, Albert G., Sanghavi, Devang K., Li, Yupeng, Rivera, Candido, Moreno-Franco, Pablo, O'Keefe, Nancy L., Gopal, Neethu, Marquez, Christopher P., Huang, Josephine F., Kalra, Manju, Shields, Raymond, Prudencio, Mercedes, Gendron, Tania, McBane, Robert, Park, Myung, Hoyne, Jonathan B., Petrucelli, Leonard, O'Horo, John C., and Meschia, James F.

Published
2021
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41. Assessment, endoscopy, and treatment in patients with acute severe ulcerative colitis during the COVID-19 pandemic (PROTECT-ASUC): a multicentre, observational, case-control study

Author

Abdale, Shukri, Abbasi, Abdullah, Abusrewil, Anwar, Aghimien, Precious, Ahmed, Saeed, Ali, Akram, Ali, Amjad, Alkhoury, Jad, Allen, Patrick, Al-Rifaie, Ammar, Appleby, Richard, Arasaradnam, Ramesh, Arebi, Naila, Arms-Williams, Bradley, Ashraf, Muteeb, Au, Andrea, Avades, Tamar, Ayubi, Homira, Azhar, Saleha, Baillie, Samantha, Balarajah, Sharmili, Bancil, Aaron, Basit, Abdul, Bayati, Murad, Bell, Andrew, Berry, Alexander, Bhat, Shivaram, Bhattacharyya, Joya, Bishop, Sophia, Blackmore, Laura, Bond, Ashley, Borg-Bartolo, Simon, Botwright, Emma, Bouri, Sonia, Boyle, Stephen, Bradley, Neil, Brailsford, Fiona, Britton, Deborah, Brown, Caitlin, Butcher, Rhys, Butterworth, Jeffrey, Campbell, Rachel, Campbell, Roisin, Campbell, Iona, Carr, Ruth, Carter, Josiah, Cartlidge, Peter, Chandy, Rajiv, Chatten, Kelly, Chaudhary, Rakesh, Chee, Desmond, Cheesbrough, Jonathan, Churchhouse, Antonia, Chughtai, Sara, Clough, Jennie, Cole, Alexander, Cook, Johannah, Cooney, Rachel, Cotton, Sarah, Coulter, Archibald, Critchlow, Tamsin, Cuison, Frederic, Curran, Chris, Darie, Ana-Maria, Dart, Robin, Davwar, Pantong, Dawa, Kasamu Kabiru, Dhar, Anjan, Din, Shahida, Diong, Kok Leong, Disney, Benjamin, Dooks, Emma, Downey, Louise, D'Souza, Anita, Dyall, Lovesh, El Masri, Ali El Rida, Elias, Mary, Evans, Holli, Felwick, Richard, Finegan, Michael, Flanagan, Paul, Fofaria, Rishi, Fong, Steven Chung Ming, Fox, Richard, Fraser, Aileen, Frunza, Christian, Ghodeif, Alhassan, Ghosh, Nivedita, Gilroy, Leah, Good, Larissa, Gordon, John, Grasso, Nicola, Guéroult, Aurelién M, Gulliver, James, Guthrie, Sarah, Gwiggner, Markus, Hanna, Mina, Harlow, Christopher, Harrison, Wendy, Hart, Ailsa, Hawthorne, Barney, Henshaw, Julie, Herdman-Grant, Rosaleen, Hooper, Patricia, Howard, Willow, Hussain, Nasir, Hutton, Thomas, Htun, Aye Mya, Irving, Peter, Jagdish, Reema, Javed, Anum, Javed, Asima, Jayasooriya, Nishani, Johnson, Matthew, Johnston, Emma, Jones, Gareth-Rhys, Kanagasundaram, Cynthia, Karagkouni, Fotein, Kemp, Karen, Kemp, Cheryl, Khalil, Hesham, Khan, Najeebullah, Khasawneh, Mais, Khurshid, Bilal, King, Andrew, Kirkham, Beverley, Kirkham, Fiona, Kokwaro, Flora, Korani, Mohamed, Koumoutsos, Ioannis, Kumar, Aditi, Kuzhiyanjal, Anish John Kuriakose, Lakeland, Martyn, Laverick, Sophie, Lees, Charlie, Levell, Emma, Levison, Scott, Lim, Samuel, Lim, Yuen-Hui, Limdi, Jimmy, Lindsay, James Oliver, Lisle, Jessica, Lobo, Alan, Luber, Raphael, Lucaciu, Laura, Lyne, Holly, MacDonald, Jonathan, Mahalingam, Aarani, Mahgoub, Sara, Malakar, Ridhima, Marley, Fenella, Mason, Joy, Mazhar, Zia, McCaughan, Hannah, Naughton, Tracy, McCulloch, Adam, McIlwaine, Stuart, Meah, Nirmol, Mebarek, Leila, Mendall, Mike, Meiarasu, Radharetnas, Mir, Nasir, Mills, Tilly, Milton, Jentus, Moffat, Victoria, Moran, Gordon W, Morris, Liam, Morrison, Gary, Morrison, Graham, Mulligan, Robert, Murray, Charles, Murray, Jennifer, Musharaf, Mutwakil, Myers, Sally, Naeck-Boolauky, Pineshwari, Naranjo, Andres, Navaratnam, Janardhan, Naylor, Deanna, Nixon, Emma, Nixon, Kirsty, Nooredinvand, Hesam Ahmadi, Nosegbe, Uche, Olabintan, Olaolu, Ong Ming San, Elaine, Okpeh, Comfort, Owen, Hayley, Owen, Ruth, Palmer-Jones, Christopher, Peddada, Kalyan, Peerally, Mohammad, Perkins, Rebecca, Phillips, Frank, Pohl, Keith, Pollok, Richard, Powell, Nick, Qayyum, Farah, Qurashi, Maria, Quraishi, Mohammed Nabil, Ratcliffe, Elizabeth, Radford, Shellie, Rahmany, Sohail, Ramadan, Hanin, Ramadas, Arvind, Reddington, Anne, Riley, Tom, Rimmer, Peter, Ritchie, Susan, Roscoe, Jacqueline, Rosiou, Konstantina, Rowland, Siobhan, Sabine, Joseph, Saifuddin, Aamir, Samaan, Mark, Sarkar, Priya, Sarwar, Shahzad, Sasegbon, Ayodele, Saunders, Jayne, Sebepos-Rogers, Gregory, Seenan, John Paul, Selinger, Christian, Serna, Solange, Sethi, Sonika, Shale, Matthew, Shenderey, Richard, Shenoy, Achuth, Sherifat, Yousuf, Sheth, Roosey, Siakavellas, Spyros, Sikafi, Rafid, Singh, Amar, Singh, Salil, Singh, Updesh, Sivaji, Ganesh, Smith, Philip, Speight, R Alexander, Spence, Andy, Stansfield, Catherine, Steed, Helen, Suseeharan, Kishaani, Tabuso, Maria, Taucius, Donatas, Taylor, Joanne, Thakor, Amit, Tham, Tony, Townsend, Gill, Townsend, Tristan, Troth, Thomas, Tunney, Ruth, Turner, Kelly, Umar, Nosheen, Vakeeswarasarma, Vithushan, Verma, Ajay M, Wallace, Hazel, Wallis, Katharina, Walton, Hannah, Wang, Bo, Warner, Eleanor, Watson, Callum, Watson, Eleanor, Wen, Susie, Widlak, Monika, Williams, Maureen, Woods, Amy, Younge, Lisa, Zafar, Mansoor, Sebastian, Shaji, Walker, Gareth J, Kennedy, Nicholas A, Conley, Thomas E, Patel, Kamal V, Subramanian, Sreedhar, Kent, Alexandra J, Segal, Jonathan P, Brookes, Matthew J, Bhala, Neeraj, Gonzalez, Haidee A, Hicks, Lucy C, Mehta, Shameer J, and Lamb, Christopher A

Published
2021
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42. SARS-CoV-2 vaccination for patients with inflammatory bowel disease: a British Society of Gastroenterology Inflammatory Bowel Disease section and IBD Clinical Research Group position statement

Author

Norton, Christine, Din, Shahida, Glatter, Jackie, Kammermeier, Jochen, Ramdeen, Madhoor, Quraishi, Nabil, Sagar, Peter, Radford, Shellie, Speight, R. Alexander, Steed, Helen, Mcfarlane, Michael, Hawthorne, A. Barney, Alexander, James L, Moran, Gordon W, Gaya, Daniel R, Raine, Tim, Hart, Ailsa, Kennedy, Nicholas A, Lindsay, James O, MacDonald, Jonathan, Segal, Jonathan P, Sebastian, Shaji, Selinger, Christian P, Parkes, Miles, Smith, Philip J, Dhar, Anjan, Subramanian, Sreedhar, Arasaradnam, Ramesh, Lamb, Christopher A, Ahmad, Tariq, Lees, Charlie W, Dobson, Liz, Wakeman, Ruth, Iqbal, Tariq H, Arnott, Ian, and Powell, Nick

Published
2021
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43. Side-Polished Coherent Fiber Bundle Assemblies: A Pathway to Large Imaging Arrays

Author

Sanders, Tarun M., Lamb, Christopher, Putrino, Gino, and Keating, Adrian

Abstract

Current state-of-the-art coherent fiber bundles, with core densities as high as 65,000 (65 k) cores/mm2, are limited to a maximum number of 100 k cores. To address this limitation, this work presents a new fabrication approach for increasing the core count. This approach involves mechanically reshaping multiple existing circular bundles into hexagonal-like shapes and assembling them to form a large imaging array, with minimal dead-space (non-imaging region). The reshaping and assembly process is only applied to one end of the fiber bundles for reducing image dead-space, while the remaining length is untouched for retaining mechanical flexibility. Through applying this process to three existing 1 m length, 100 k core count fiber bundles, a combined imaging array consisting of 254 k ($\pm$5%) cores over a total cross-sectional area of 3.94 mm2 was fabricated. This core count is extremely close to the video graphics array (VGA) imaging standard consisting of 0.3 Megapixels. With this new approach, achieving flexible, high density imaging arrays with core counts approaching 1 million pixels, the high definition (HD) standard, is a real possibility in the upcoming decade.

Published
2024
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45. Converting a Large Lecture Class to an Active Blended Learning Class: Why, How, and What We Learned

Author

Godlewska, Anne, Beyer, Wanda, Whetstone, Scott, Schaefli, Laura, Rose, John, Talan, Breah, Kamin-Patterson, Sean, Lamb, Christopher, and Forcione, Melissa

Abstract

Faced with diminished faculty resources and increased student enrolment from 2010 to 2017, we sought to use blended learning to achieve active learning in a large c.400-student introductory geography class. Working iteratively over seven years and eight classes and using smart classrooms, better timetabling, experimentation with peer review and learning management system (LMS) technologies, as well as the expertise of Queen's University Continuing and Distance Studies instructional design team to improve integration between course elements, we closely approached the quality of learning achieved in a much smaller enrolment class. It is possible to teach large classes of 400 students in an active and engaged manner. The greatest obstacle to the development and maintenance of this model is institutional culture.

Published
2019
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47. MalGen: Malware Generation with Specific Behaviors to Improve Machine Learning-based Detectors.

Author

Smith, Michael, primary, Carbajal, Armida, additional, Domschot, Eva, additional, Johnson, Nicholas, additional, Goyal, Akul, additional, Lamb, Christopher, additional, Lubars, Joseph, additional, Kegelmeyer, William, additional, Krishnakumar, Raga, additional, Quynn, Sophie, additional, Ramyaa, Ramyaa, additional, Verzi, Stephen, additional, and Zhou, Xin, additional

Published
2022
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49. Biologic Therapy for Inflammatory Bowel Disease: Real-World Comparative Effectiveness and Impact of Drug Sequencing in 13 222 Patients within the UK IBD BioResource.

Author

Kapizioni, Christina, Desoki, Rofaida, Lam, Danielle, Balendran, Karthiha, Al-Sulais, Eman, Subramanian, Sreedhar, Rimmer, Joanna E, Negro, Juan De La Revilla, Pavey, Holly, Pele, Laetitia, Brooks, Johanne, Moran, Gordon W, Irving, Peter M, Limdi, Jimmy K, Lamb, Christopher A, Investigators, UK IBD BioResource, Parkes, Miles, and Raine, Tim

Abstract

Background and Aims This study compares the effectiveness of different biologic therapies and sequences in patients with inflammatory bowel disease [IBD] using real-world data from a large cohort with long exposure. Methods Demographic, disease, treatment, and outcome data were retrieved for patients in the UK IBD BioResource. Effectiveness of treatment was based on persistence free of discontinuation or failure, analysed by Kaplan–Meier survival analysis with inverse probability of treatment weighting to adjust for differences between groups. Results In total, 13 222 evaluable patients received at least one biologic. In ulcerative colitis [UC] first-line vedolizumab [VDZ] demonstrated superior effectiveness over 5 years compared to anti-tumour necrosis factor [anti-TNF] agents [ p  = 0.006]. VDZ was superior to both infliximab [IFX] and adalimumab [ADA] after ADA and IFX failure respectively [ p  < 0.001 and p  < 0.001]. Anti-TNF therapy showed similar effectiveness when used as first-line treatment, or after failure of VDZ. In Crohn's disease [CD] we found significant differences between first-line treatments over 10 years [ p  = 0.045], with superior effectiveness of IFX compared to ADA in perianal CD. Non-anti-TNF biologics were superior to a second anti-TNF after first-line anti-TNF failure in CD [ p  = 0.035]. Patients with UC or CD experiencing TNF failure due to delayed loss of response or intolerance had superior outcomes when switching to a non-anti-TNF biologic, rather than a second anti-TNF. Conclusions We provide real-world evidence to guide biologic selection and sequencing in a range of common scenarios. Our findings challenge current guidelines regarding drug selection after loss of response to first anti-TNF treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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