1,558 results on '"Brett, Michael"'
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2. L’aventure Ibādite dans le Sud Tunisien (VIIIe – XIIIe Siècle): Effervescence d’une Region Méconnue par Virginie Prevost (review)
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Brett, Michael
- Published
- 2023
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3. The Times Literary Supplement November 5, 2010, The Maghreb Review
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Brett, Michael
- Published
- 2023
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4. Stratified analyses refine association between TLR7 rare variants and severe COVID-19
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Rimoldi, Valeria, Paraboschi, Elvezia M., Bandera, Alessandra, Peyvandi, Flora, Grasselli, Giacomo, Blasi, Francesco, Malvestiti, Francesco, Pelusi, Serena, Bianco, Cristiana, Miano, Lorenzo, Lombardi, Angela, Invernizzi, Pietro, Gerussi, Alessio, Citerio, Giuseppe, Biondi, Andrea, Valsecchi, Maria Grazia, Cazzaniga, Marina Elena, Foti, Giuseppe, Beretta, Ilaria, D'Angiò, Mariella, Bettini, Laura Rachele, Farré, Xavier, Iraola-Guzmán, Susana, Kogevinas, Manolis, Castaño-Vinyals, Gemma, Garcia-Etxebarria, Koldo, Nafria, Beatriz, D'Amato, Mauro, Palom, Adriana, Begg, Colin, Clohisey, Sara, Hinds, Charles, Horby, Peter, Knight, Julian, Ling, Lowell, Maslove, David, McAuley, Danny, Millar, Johnny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J.M., Pereira, Alexandre C., Ponting, Chris P., Rowan, Kathy, Semple, Malcolm G., Shankar-Hari, Manu, Summers, Charlotte, Walsh, Timothy, Baillie, J. 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Helen, Prout, Rachel, Watters, Malcolm, Novis, Catherine, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Passmore, Heather, Prendergast, Claire, Reed, Anna, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Middleton, Hayley, Polgar, Oliver, Nolan, Claire, Mahay, Kanta, Collier, Dawn, Hormis, Anil, Maynard, Victoria, Graham, Cheryl, Walker, Rachel, Knights, Ellen, Price, Alicia, Thomas, Alice, Thorpe, Chris, Behan, Teresa, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Mitra, Atideb, Newton, Maria, Pollard, Rachel, Stead, Rachael, Amin, Vishal, Anastasescu, Elena, Anumakonda, Vikram, Karthik, Komala, Kausar, Rizwana, Reid, Karen, Smith, Jacqueline, Imeson-Wood, Janet, Skinner, Denise, Gaylard, Jane, Mullan, Dee, Newman, Julie, Brown, Alison, Crickmore, Vikki, Debreceni, Gabor, Wilkins, Joy, Nicol, Liz, Reece-Anthony, Rosie, Birt, Mark, Ghosh, Alison, Williams, Emma, Allen, Louise, Beranova, Eva, Crisp, Nikki, Deery, Joanne, Hazelton, Tracy, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turki, Salah, Turney, Sharon, Cooper, Joshua, Finch, Cheryl, Liderth, Sarah, Quinn, Alison, Waddington, Natalia, Coventry, Tina, Fowler, Susan, MacMahon, Michael, McGregor, Amanda, Cowley, Anne, Highgate, Judith, Gregory, Jane, O'Connell, Susan, Smith, Tim, Barberis, Luigi, Gopal, Shameer, Harris, Nichola, Lake, Victoria, Metherell, Stella, Radford, Elizabeth, Daniel, Amelia, Finn, Joanne, Saha, Rajnish, White, Nikki, Donnison, Phil, Trim, Fiona, Eapen, Beena, Birch, Jenny, Bough, Laura, Goodsell, Josie, Tutton, Rebecca, Williams, Patricia, Williams, Sarah, Winter-Goodwin, Barbara, Nichol, Ailstair, Brickell, Kathy, Smyth, Michelle, Murphy, Lorna, Coetzee, Samantha, Gales, Alistair, Otahal, Igor, Raj, Meena, Sell, Craig, Hilltout, Paula, Evitts, Jayne, Tyler, Amanda, Waldron, Joanne, Beesley, Kate, Board, Sarah, Kubisz-Pudelko, Agnieszka, Lewis, Alison, Perry, Jess, Pippard, Lucy, Wood, Di, Buckley, Clare, Barry, Peter, Flint, Neil, Rekha, Patel, Hales, Dawn, Bunni, Lara, Jennings, Claire, Latif, Monica, Marshall, Rebecca, Subramanian, Gayathri, McGuigan, Peter J., Wasson, Christopher, Finn, Stephanie, Green, Jackie, Collins, Erin, King, Bernadette, Campbell, Andy, Smuts, Sara, Duffield, Joseph, Smith, Oliver, Mallon, Lewis, Claire, Watkins, Botfield, Liam, Butler, Joanna, Dexter, Catherine, Fletcher, Jo, Garg, Atul, Kuravi, Aditya, Ranga, Poonam, Virgilio, Emma, Belagodu, Zakaula, Fuller, Bridget, Gherman, Anca, Olufuwa, Olumide, Paramsothy, Remi, Stuart, Carmel, Oakley, Naomi, Kamundi, Charlotte, Tyl, David, Collins, Katy, Silva, Pedro, Taylor, June, King, Laura, Coates, Charlotte, Crowley, Maria, Wakefield, Phillipa, Beadle, Jane, Johnson, Laura, Sargeant, Janet, Anderson, Madeleine, Brady, Ailbhe, Chan, Rebekah, Little, Jeff, McIvor, Shane, Prady, Helena, Whittle, Helen, Mathew, Bijoy, Attwood, Ben, Parsons, Penny, Ward, Geraldine, Bremmer, Pamela, Joe, West, Tracy, Baird, Jim, Ruddy, Davies, Ellie, Sathe, Sonia, Dennis, Catherine, McGregor, Alastair, Parris, Victoria, Srikaran, Sinduya, Sukha, Anisha, Clarke, Noreen, Whiteside, Jonathan, Mascarenhas, Mairi, Donaldson, Avril, Matheson, Joanna, Barrett, Fiona, O'Hara, Marianne, Okeefe, Laura, Bradley, Clare, Eastgate-Jackson, Christine, Filipe, Helder, Martin, Daniel, Maharajh, Amitaa, Garcia, Sara Mingo, Pakou, Glykeria, De Neef, Mark, Dent, Kathy, Horsley, Elizabeth, Akhtar, Muhmmad Nauman, Pearson, Sandra, Potoczna, Dorota, Spencer, Sue, Clapham, Melanie, Harper, Rosemary, Poultney, Una, Rice, Polly, Mutch, Rachel, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Hairsine, Brigid, McParland, Chantal, Packham, Sophie, Bi, Rehana, Scholefield, Barney, Ashton, Lydia, George, Linsha, Twiss, Sophie, Wright, David, Chablani, Manish, Kirkby, Amy, Netherton, Kimberley, Davies, Kim, O'Brien, Linda, Omar, Zohra, Perkins, Emma, Lewis, Tracy, Sutherland, Isobel, Burns, Karen, Ben Chandler, Dr, Elliott, Kerry, Mallinson, Janine, Turnbull, Alison, Gondo, Prisca, Hadebe, Bernard, Kayani, Abdul, Masunda, Bridgett, Anderson, Taya, Hawcutt, Dan, O'Malley, Laura, Rad, Laura, Rogers, Naomi, Saunderson, Paula, Allison, Kathryn Sian, Afolabi, Deborah, Whitbread, Jennifer, Jones, Dawn, Dore, Rachael, Halkes, Matthew, Mercer, Pauline, Thornton, Lorraine, Dawson, Joy, Garrioch, Sweyn, Tolson, Melanie, Aldridge, Jonathan, Kapoor, Ritoo, Loader, David, Castle, Karen, Humphreys, Sally, Tampsett, Ruth, Mackintosh, Katherine, Ayers, Amanda, Harrison, Wendy, North, Julie, Allibone, Suzanne, Genetu, Roman, Kasipandian, Vidya, Patel, Amit, Mac, Ainhi, Murphy, Anthony, Mahjoob, Parisa, Nazari, Roonak, Worsley, Lucy, Fagan, Andrew, Bemand, Thomas, Black, Ethel, Dela Rosa, Arnold, Howle, Ryan, Jhanji, Shaman, Baikady, Ravishankar Rao, Tatham, Kate Colette, Thomas, Benjamin, Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lee, Emma, Lennon, Liz, Rattray, Austin, Taylor, Abigail, Hughes, Rachel Anne, Thomas, Helen, Rees, Alun, Duskova, Michaela, Phipps, Janet, Brooks, Suzanne, Edwards, Michelle, Quaid, Sheena, Watson, Ekaterina, Brayne, Adam, Fisher, Emma, Hunt, Jane, Jackson, Peter, Kaye, Duncan, Love, Nicholas, Parkin, Juliet, Tuckey, Victoria, Van Koutrik, Lynne, Carter, Sasha, Andrew, Benedict, Findlay, Louise, Adams, Katie, Service, Jen, Williams, Alison, Cheyne, Claire, Saunderson, Anne, Moultrie, Sam, Odam, Miranda, Hall, Kathryn, Mapfunde, Isheunesu, Willis, Charlotte, Lyon, Alex, Sri-Chandana, Chunda, Scherewode, Joslan, Stephenson, Lorraine, Marsh, Sarah, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tariq, Ambreen, Tucci, Arianna, Hobrok, Maria, Loosley, Ronda, McGuinness, Heather, Tench, Helen, Wolf-Roberts, Rebecca, Irvine, Val, Shelley, Benjamin, Gorman, Claire, Gupta, Abhinav, Timlick, Elizabeth, Brady, Rebecca, Milligan, Barry, Bellini, Arianna, Bryant, Jade, Mayer, Anton, Pickard, Amy, Roe, Nicholas, Sowter, Jason, Howlett, Alex, Fidler, Katy, Tagliavini, Emma, Donnelly, Kevin, Boos, Jannik, van der Made, Caspar I., Ramakrishnan, Gayatri, Coughlan, Eamon, Asselta, Rosanna, Löscher, Britt-Sabina, Valenti, Luca V.C., de Cid, Rafael, Bujanda, Luis, Julià, Antonio, Pairo-Castineira, Erola, May, Sandra, Zametica, Berina, Heggemann, Julia, Albillos, Agustín, Banales, Jesus M., Barretina, Jordi, Blay, Natalia, Bonfanti, Paolo, Buti, Maria, Fernandez, Javier, Marsal, Sara, Prati, Daniele, Ronzoni, Luisa, Sacchi, Nicoletta, Schultze, Joachim L., Riess, Olaf, Franke, Andre, Rawlik, Konrad, Ellinghaus, David, Hoischen, Alexander, Schmidt, Axel, and Ludwig, Kerstin U.
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- 2024
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5. John Buck honoured
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Brett, Michael
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- 2012
6. Methods for Accelerating Geospatial Data Processing Using Quantum Computers
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Henderson, Maxwell, Gallina, Jarred, and Brett, Michael
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Quantum Physics - Abstract
Quantum computing is a transformative technology with the potential to enhance operations in the space industry through the acceleration of optimization and machine learning processes. Machine learning processes enable automated image classification in geospatial data. New quantum algorithms provide novel approaches for solving these problems and a potential future advantage over current, classical techniques. Universal Quantum Computers, currently under development by Rigetti Computing and other providers, enable fully general quantum algorithms to be executed, with theoretically proven speed-up over classical algorithms in certain cases. This paper describes an approach to satellite image classification using a universal quantum enhancement to convolutional neural networks: the quanvolutional neural network. Using a refined method, we found a performance improvement over previous quantum efforts in this domain and identified potential refinements that could lead to an eventual quantum advantage. We benchmark these networks using the SAT-4 satellite imagery data set in order to demonstrate the utility of machine learning techniques in the space industry and the potential advantages that quantum machine learning can offer., Comment: 14 pages, 4 images
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- 2020
7. Adoptive cell transfer of macrophages following peripheral nerve injury in mice
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Atul Rawat, Mithilesh Kumar Jha, and Brett Michael Morrison
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Cell Culture ,Immunology ,Model Organisms ,Science (General) ,Q1-390 - Abstract
Summary: Macrophages are key innate immune cells involved in multiple biological processes, including peripheral nerve regeneration. Here, we describe a protocol for the adoptive cell transfer of bone-marrow-derived macrophages (BMDMs) following sciatic nerve crush injury (SNCI). This procedure involves isolating BMDMs from a donor mouse, potentially manipulating them ex vivo, and reintroducing them into an animal following SNCI. Preclinical studies show that BMDMs can infiltrate injured nerves and impact functional recovery, potentially providing a novel therapy for nerve injuries.For complete details on the use and execution of this protocol, please refer to Jha et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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- 2023
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8. Assessment of the impact of dams on aquatic food webs using stable isotopes: Current progress and future challenges
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Guo, Fen, Fry, Brian, Yan, Keheng, Huang, Juan, Zhao, Qian, O'Mara, Kaitlyn, Li, Feilong, Gao, Wei, Kainz, Martin J., Brett, Michael T., Bunn, Stuart E., and Zhang, Yuan
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- 2023
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9. Doyen of the scribblers
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Brett, Michael
- Published
- 2001
10. Clean green
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Brett, Michael
- Published
- 1998
11. Michael Brett - from Star to Times
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Brett, Michael
- Published
- 1997
12. Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes
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Zhang, Chen, primary, Chen, Lingwei, additional, and Brett, Michael T., additional
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- 2024
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13. How Important Is Coastal Tourism for Island Nations? An Assessment of African and Indian Ocean Islands
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Brett, Michael R.
- Published
- 2021
14. Physiological and nutritional constraints on zooplankton productivity due to eutrophication and climate change predicted using a resource-based modeling approach
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Zhang, Chen, Brett, Michael T., Nielsen, Jens M., Arhonditsis, George B., Ballantyne, Ashley P., Carter, Jackie L., Kann, Jacob, Muller-Navarra, Dorthe C., Schindler, Daniel E., Stockwell, Jason D., Winder, Monika, and Beauchamp, David A.
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Food chains (Ecology) -- Environmental aspects ,Zooplankton -- Distribution -- Environmental aspects ,Climatic changes -- Environmental aspects ,Eutrophication -- Environmental aspects ,Company distribution practices ,Earth sciences - Abstract
Emerging evidence suggests that zooplankton production is affected by physiological and nutritional constraints due to climate change and eutrophication, which in turn could have broad implications for food-web dynamics and fisheries production. In this study, we developed a resource-based zooplankton production dynamics model that causally links freshwater cladoceran and copepod daily production-to-biomass (P/B) ratios with water temperature, phytoplankton biomass and community composition, and zooplankton feeding selectivity. This model was used to evaluate constraints on zooplankton growth under four hypothetical scenarios: involving natural plankton community seasonal succession; lake fertilization to enhance fisheries production; eutrophication; and climatic warming. Our novel modeling approach predicts zooplankton production is strongly dependent on seasonal variation in resource availability and quality, which results in more complex zooplankton dynamics than predicted by simpler temperature-dependent models. For mesotrophic and hypereutrophic lakes, our study suggests that the ultimate control over zooplankton P/B ratios shifts from physiological control during colder periods to strong resource control during warmer periods. Our resource-based model provides important insights into the nature of biophysical control of zooplankton under a changing climate that has crucial implications for food web energy transfer and fisheries production. De nouvelles observations semblent indiquer que des contraintes physiologiques et nutritives decoulant des changements climatiques et de l'eutrophisation ont une incidence sur la production de zooplancton, ce qui pourrait avoir de vastes repercussions sur la dynamique des reseaux trophiques et la production des peches. Nous avons developpe un modele de dynamique de la production de zooplancton base sur les ressources qui relie causalement les rapports quotidiens de la production et de la biomasse (P/B) de cladoceres et de copepodes d'eau douce a la temperature de l'eau, la biomasse et la composition de la communaute du phytoplancton et la selectivite de l'alimentation du zooplancton. Le modele est utilise pour evaluer les contraintes a la croissance du zooplancton dans quatre scenarios hypothetiques, a savoir : une succession saisonniere naturelle de la communaute de plancton, la fertilisation du lac pour accroitre la production des peches, l'eutrophisation et le rechauffement climatique. Notre nouvelle approche de modelisation predit que la production de zooplancton depend fortement des variations saisonnieres de la disponibilite et de la qualite des ressources, ce qui se traduit par une dynamique du zooplancton plus complexe que ce que predisent les modeles plus simples dependants de la temperature. Pour les lacs mesotrophes et hypereutrophes, l'etude indiquerait que les rapports P/B du zooplancton sont ultimement controles par la physiologie durant les periodes plus froides et par les ressources durant les periodes plus chaudes. Notre modele base sur les ressources fournit d'importants renseignements sur la nature du controle biophysique du zooplancton dans des conditions de climat changeant qui a d'importantes repercussions sur les transferts energetiques dans les reseaux trophiques et la production des peches. [Traduit par la Redaction], Introduction Zooplankton represent a biochemical filter in lakes wherein primary producer organic matter is converted to animal matter. Due to the large disparity in phytoplankton and zooplankton biochemical composition, energetic [...]
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- 2022
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15. Taxonomic, Temporal, and Spatial Variations in Zooplankton Fatty Acid Composition in Puget Sound, WA, USA
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Hiltunen, Minna, Strandberg, Ursula, Brett, Michael T., Winans, Amanda K., Beauchamp, David A., Kotila, Miika, and Keister, Julie E.
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- 2022
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16. The development, validation and demonstration of an automated rodent tracker and whisker detector
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Hewitt, Brett Michael
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612.8 - Abstract
Quantitatively assessing behaviour to measure animal behaviour and motor control is challenging because there is a lack of unobtrusive behavioural models. Some studies have suggested that measuring whisker movements might be a good, quantitative behavioural model. However, whiskers are very thin, small and move very fast; and there is not yet an automated program that can detect whiskers in a fully-intact, freely-moving animal. Therefore, this thesis develops, validates and demonstrates a novel, fullyautomated rodent tracker and a whisker annotator, that simultaneously measures locomotion and exploration behaviours as well as whisker movements. The �rst step in designing an automated rodent tracker and whisker detector, is to extract a reliable ground truth from which to compare any tracked points to. Therefore, the Manual Whisker Annotator (MWA) was designed as a validator and calibrator for the subsequent trackers and detectors. The second step is to provide a reliable body and head contour. Therefore, the Automated Rodent Tracker (ART) was developed and validated, compared to a semi-automated tracker (Ethovision) and the MWA. Finally, a fully-automated whisker detector (FAWD) was designed and validated, using two existing semi-automatic whisker trackers (BWTT and Whisk) and the MWA. FAWD incorporates a variety of image-processing algorithms, including super sampling, dilation and subtraction and frangi �ltering to reliably detect whiskers. Both ART and FAWD were also successfully demonstrated on videos collected from SOD1 mice, a model of Amyotrophic Lateral Sclerosis, from day 30 to 120. The development of this software enables whisker movements and locomotion to be tracked in a repeatable fashion, and the fully-automated nature of the software means that many videos can be collected and quickly processed with minimal user input. This thesis develops and validates a suite of behavioural software that provides robust and quantitative measures of rodent behaviour for basic research or drug discovery. Future work will be to demonstrate this software on a larger range of rodent models of neurodegeneration, to further showcase the exibility and quantitative nature of this behavioural model.
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- 2018
17. Theoretical and experimental analysis of the quasi-static and dynamic behaviour of the world's longest suspension footbridge in 2020
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Tadeu, António, Romero, António, Bandeira, Filipe, Pedro, Filipe, Dias, Sara, Serra, Miguel, Brett, Michael, and Galvín, Pedro
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- 2022
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18. North Africa
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Brett, Michael, primary
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- 2021
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19. Polyunsaturated fatty acids in fish tissues more closely resemble algal than terrestrial diet sources
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Ebm, Nadine, Guo, Fen, Brett, Michael T., Bunn, Stuart E., and Kainz, Martin J.
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- 2021
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20. Communicating Science Through Press Releases to News Media: The Case Study of What Is Controlling the Fabled Water Clarity of Lake Tahoe.
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Chandra, Sudeep, Paerl, Hans W., Melack, John, Lovejoy, Connie, Priscu, John C., Bess, Zach, Coil, John, Goldman, Charles R., Brett, Michael T., Suenaga, Erin, and Nava, Veronica
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PRESS releases ,PRESS ,LAKES ,GRAZING ,MEDIA studies ,SCIENTIFIC literature - Abstract
This article discusses the importance of accurate scientific communication through press releases and the potential consequences of disseminating inaccurate information. The authors address a specific press release about the water clarity of Lake Tahoe, which incorrectly attributed the improvement in clarity to zooplankton. They argue that the data and peer-reviewed scientific literature contradict this claim and suggest that other factors, such as sediment inputs and climate dynamics, are responsible for the changes in clarity. The authors also provide recommendations for improving the communication of scientific information through press releases, emphasizing the need for peer review and open data sharing. [Extracted from the article]
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- 2024
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21. Adaptation of Wind Drag Coefficient Parameterization: Improvement of Hydrodynamic Modeling by a Wave‐Dependent Cd in Large Shallow Lakes.
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Zhang, Chen, Chen, Lingwei, and Brett, Michael T.
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WIND speed ,DRAG coefficient ,AIR-water interfaces ,LAKES ,PARAMETERIZATION ,WATER quality ,MOMENTUM transfer - Abstract
Wind is a critical driving force in hydrodynamic and water quality modeling of large shallow lakes, and is characterized by the wind drag coefficient Cd, representing the momentum transfer at the air‐water interface. Contemporary empirical formulae for Cd estimation were derived over oceans and some of which are solely wind velocity U10 dependent. These formulae were previously found to be inadequate in inland lake models often resulting in the water velocity underestimation. To address this problem, a physical scale experiment was designed, in which Cd was measured using a wind profile and eddy covariance methodology. A new wind‐induced wave‐dependent Cd parameterization was also established and validated in two lake studies. The driving force was modified by the wave‐dependent Cd formula in a hydrodynamic model of the shallow Upper Klamath Lake (UKL), OR, USA. The experimental Cd was negatively correlated to the wind velocity up until the critical U10 = 1.6 m s−1 which was 1.0~3.1 times previous empirical extrapolations at light winds. The variation partitioning results showed that wave parameters contributed to more than 30% of Cd variation combined with wind parameters. The modified wind stress field was spatially heterogeneous and the modeled water velocity was closer to the observations at two sites. Significant main circulation and outer bank circulation were modeled accompanied by higher surface vorticity, compared to the original UKL model. Overall, the wave‐dependent Cd formula provided an improvement of the surface flow field in the UKL model and will improve the management of the lake ecosystems. Plain Language Summary: As a critical driving force in large shallow lakes, wind parameterization is of great importance for accurate hydrodynamic modeling. Previous wind‐dependent wind drag formulae over oceans usually generate large underestimates of water velocity in lakes. We thus propose a new wave‐dependent Cd parameterization based on an experimental study to improve the Cd parameterization in lakes. The Cd measurements were compared and confirmed by two typical methodologies of wind profile and eddy covariance. The newly derived wave‐dependent Cd parameterization was validated in two lake studies and adapted to a hydrodynamic model of the Upper Klamath Lake, OR, USA. Results showed an improved representation of the wind stress field, surface water velocity, and surface circulation. Our work should therefore be useful when using mechanistic models to manage hydrodynamics and water quality in large shallow lakes. Key Points: A wave‐dependent Cd formula was developed based on an experimental study, indicating a negative correlation of Cd with U10 at light windsSpatial heterogeneity of the wind stress field and surface circulation was identified in lake hydrodynamic modelingThe adaptation of Cd parameterization in a hydrodynamic model was improved through the wave‐dependent Cd formula [ABSTRACT FROM AUTHOR]
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- 2024
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22. Comparison between cork-based and conventional green roof solutions
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Simões, Nuno, Almeida, Ricardo, Tadeu, António, Brett, Michael, and Almeida, João
- Published
- 2020
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23. Adoptive cell transfer of macrophages following peripheral nerve injury in mice
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Rawat, Atul, primary, Jha, Mithilesh Kumar, additional, and Morrison, Brett Michael, additional
- Published
- 2023
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24. Urine recovery at the building level
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Almeida, João A.S., Azevedo, Ana L., Brett, Michael, Tadeu, António, Silva-Afonso, Armando, Costa, Andreia, Rufo, Emanuel, and Além, Sandra
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- 2019
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25. Postoperative critical care and high-acuity care provision in the United Kingdom, Australia, and New Zealand
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Grocott, Mike P.W., Sneyd, Robert, Batchelor, Anna, Brett, Stephen, Plowright, Catherine, Shrestha, Suman, Shawyer, Richard, Ahmed, Shafi, Khondoker, Mizan, Nathanson, Mike, Sathe, Sonia, Rawat, Shilpa, Range, Christine, Moloney, Dermot, Hee, Wendy Lum, Tozer, James, Hamlyn, Vincent, MacGregor, Mark, Qadri, Shabir, Chaurasia, Sunil kumar, Torrance, Hew, Raj, Ashok, Ross-Anderson, Davina, Anwar, Sibtain, Armanious, Samuel, Knowlden, Peter, McCourt, Killian, Pugh, Richard, Clements, Stephan, Littler, Christopher, Whapples, Annabelle, Cupitt, Jason, Balasubramaniam, Madhushankar, Spencer, Robert, White, Stuart, Drake, Jeremy, Ramhewa, Tendai, Hill, Stephen, Patil, Vishal, Goodwin, Naomi, Bansal, Sujesh, Greenwood, Nick, Sutton, Rebecca, Hanison, James, Same, Melinda, Matson, Alexandra, Spittle, Nick, Slorach, Marc, McLoughlin, Liam, Wilson, Lawrence, Melsom, Helen, Rafi, M. Amir, Limb, James, Saibaba, Ravishankar Jakkala, Lynch, Ceri, Pemberton, Omar, Sange, Mansoor, Rogerson, David, Dobson, Richard, Chambers, Jonathan, Bramall, Jon, Gorman, Andrew, Joanna, Moore, Kapoor, Ritoo, Natarajan, Nagendra, Chukkambotla, Srikanth, Marshall, Philippa, Thorning, Geoff, Csabi, Peter, Woods, Justin, Ritzema, Jenny, Orme, Robert, Koh, Sock Huang, Gary, Baigel, Zucco, Liana, Bromhead, Helen, Partridge, Richard, Kant, Abhinav, Yeung, Joyce, Ignatov, Dancho, Talati, Chiraag, Gratrix, Andrew, Ghosh, Subhamay, Ignatova, Zhana, Gill, Stuart, Agarwal, Sunita, Nagaratnam, Vidhya, Kirby, Susan, Bell, Stephanie, Debreceni, Gabor, Bothma, Pieter, Jakkampudi, Satyanarayana, Botfield, Claire, Kok, Waisun, Maharaj, Ritesh, Puranik, Sarang, Laha, Shondipon, Whiteley, Simon, Shephard, Buzz, Agarwal, Manju, McNamara, Helen, Fitzgerald, Thomas, Zaidi, Suhail, Blackie, Philip, Mukherjee, Kirtida, Price, Nicolas, Pennington, James, Varma, Sandeep, Stewart, Richard, O'Brien, Peter, Mitchell, Joellene, Aldridge, Jonathan, Edwards, Vivien, Hunter, Catherine, Allen, Laurin, Service, Jennifer, Pettigrew, Tom, Campbell, Robert, Varveris, Daphne, Young, Simon, Harten, Johann, Brett, Michael, Howes, Jacqueline, Robinson, David, Chapman, Roddy, Rattray, Austin, Razouk, Khaled, McLellan, Stuart, Alston, Robin, Geddes, Murray, Schraag, Stefan, Cooper, Paul, Barr, Catriona, Sim, Stephanie, Hilton-Christie, Sharon, Reavley, Caroline, Jenkins, Kathryn, Smith, Tim, Graham, Fiona, Ezihe-Ejiofor, J.A., Pritchard, David, Williams, Lynne, Kakodkar, Prashant, Henry, Garry, Nutt, Christopher, Wright, Geoff, Mitra, Atideb, Garg, Sanjeev, Taylor, Adrian, Moppett, Iain, Clark, Sam, Ford, Eleanor, Bond-Smith, Giles, Siviter, Richard, Webb, Stephen, Humphreys, Joanne, Brammar, Andrew, Weisz, Michael, Minto, Gary, Girgis, Michael, Bain, James, Giles, Julian, John, John, Dill-Russell, Patrick, Fogg, Katheryn, Berry, Julian, Matthews, Cathryn, Hooker, Nicolas, Kidel, Carlos, Jha, Rajeev, Williams, Colin, Gunning, Malcolm, Dickinson, Matthew, Cook, Tim, Bailey, Kate, Williams, Simon, Rambhatla, Mrutyunjaya Rao, Kannan, Santhana, Wrench, Ian, Jones, Paul, Wright, Jane, Foley, Paul, Henning, Jeremy, Frey, Christian, White, Emert, Goddard, Chris, Shah, Nirav, Goel, Vandana, Thomas, Elizabeth, atyas Andorka, Kulkarni, Anand, Hine, Abigail, Nariani, Jaya, Sonksen, Julian, Papageorgiou, Con, Kotur, Karuna, Saunders, David, Hamilton, Kevin, Gent, Emma, Hormis, Anil, Craig, James, Juneja, Rohit, Siddaiah, Narendra, Claxton, Andrew, Hargreaves, Chris, Montgomery, Jane, Kakkar, Manish, Joachim, Suganthi, Orr, John, Ferguson, Catriona, Stewart, Adrienne, Tasker, Laura, Washington, Stephen, Al-Rawi, Samar, Wakatsuki, Mai, Wharton, Nicholas, Bradbury, Carol, Lau, Gary, McArthur, Carol, Markham, Rachel, Merron, Stephen, Shanbhag, Sumant, Jumani, Deepa, Charters, Seema, Page, Valerie, Gopal, Vijayakumar, Latif, Muhammad, Mcivor, Vinanti Cherian, Kennedy, Richard, Dana, Emily, Hosdurga, Gurunath, Singaravelu, Suresh, Persad, Cindy, Burtenshaw, Andrew, Clements, Paul, Troth, Laura, Kubisz-Pudelko, Agnieszka, Chandler, Ben, Jonathan T Wilson, R., Moss, Janette, Rowe, Paul, Kumar, Pallavi, Gillespie, David, Cheung, Winston, Dwyer, Laurie, Anderson, James R., Hicks, Chelsea, Bowden, Chris, Popham, Scott, Roberts, Helen, Diczbalis, Monica, Dawson, Rob, Wonders, Robert, Teisseyre, Dominik, Robinson, Andrew, Tan, Khong, Posselt, Bronwyn, Coventry, Lillian, Shan, David, Highton, David, Miller-Greenman, Tony, Kooner, Tehal, Guy, Louis, Spain, Brian, Naidoo, Vasheya, Hennessy, Brien, Scott, David A., Prassas, Georgina, Matthews, Joel, Kakos, Alan, Smith, Robert, Williams, Daryl L., Le, Nam, Jones, Andrew, Patel, Nikhil, Campbell, Doug, Lindsay, Helen, Wilson, Andrew M., Allen, Charles, van Oudenaaren, Sophie, Frankpitt, Alexandra, Ongley, Dick, Barneto, Lisa M., Garden, Alexander, Yam, Sai Tim, Welch, Mark, Freebairn, Ross, Bhattacharya, Dhir, Truong, Han, Kwan, Laura, Panckhurst, Jonathan, Henry, Jenny, Perrin, Samuel, Campbell, Kate, Singh, Vikramjit, Birioukov, Victor, Ireland, Claire, Shanmuganathan, Priya, Brown, Duncan, Gormack, Sophie, Jackson, Alison, Sharma, Swarna, Dale-Gandar, Julius, Wong, Danny Jon Nian, Wilson, Andrew Marshall, Lindsay, Helen A., Farmer, Laura, Wallace, Sophie, Campbell, Douglas, Myles, Paul S., Harris, Steve Kendrick, and Moonesinghe, Suneetha Ramani
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- 2019
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26. Single-sided-hydrogenated graphene: Density functional theorypredictions
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Pujari, Bhalchandra S., Gusarov, Sergey, Brett, Michael, and Kovalenko, Andriy
- Subjects
Condensed Matter - Materials Science ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Hydrogenation has proven to be an effective tool to open the bandgap of graphene. In the present density functional study we demonstrate that single-side-hydrogenated graphene is a semiconductor with an indirect bandgap of 1.89 eV, in between the gapless graphene and wide bandgap graphane. We show that its electronic structure and lattice characteristics are substantially different from those of graphene, graphone, or graphane. The lattice parameter and C-C bond length are found to be lengthened by 15% of those of graphene. Our binding energy analysis confirms that such a single sided hydrogenation leads to thermodynamically stable material., Comment: Submitted to Physical Review B on 10 Feb 2011
- Published
- 2011
27. Methods for accelerating geospatial data processing using quantum computers
- Author
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Henderson, Max, Gallina, Jarred, and Brett, Michael
- Published
- 2021
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28. Cancelled operations: a 7-day cohort study of planned adult inpatient surgery in 245 UK National Health Service hospitals
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Moonesinghe, S. 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Zaidi, Suhail, Clayton, Samantha, Goddin, James, Joy, Stuart, Malhotra, Vikram, Mindel, Samuel, Neilson, Zoe, Wijesuria, Shanelle Tharuka, Wilkins, Ryan, Mukherjee, Kirtida, Bradley, Andrew, Coetzee, Samantha, Crook, Alexandra, Emeakaroha, Eunice, Frenkiel, Marek, Hatton, Tom, Kamraj, Kootharajan, Long, Natalie, Manikundalam, Badrinath, Peiris, Muditha, Roche, Matthew, Sandhu, Banher, White, Nichola, Woods, Annette, Yarnold, Adam, Price, Nicolas, Ashe, Marion, Disney, Tom, Dixon, Caroline, Dodds, Emily, El-Sheika, Sarah, Hameed, Yasir, Jones, Rob, Kanal, Karan, Ranaweera, Sanjeewa, Ripoll, Simon, Russell, Nicki, Smith, Sally Anne, Tung, Swee Ang, Emerson, Bruce, Apps, Victoria, Austin, Mandy, Catchpole, Laura, Catley, Christine, Child, Jenny, Cranmer, Karen, Dawson, Lizzie, Farr, Beth, Gerrish, Helen, Gibson, Sian, Gunn, Jacqueline, Holland, Kim, James, Lorri, Jayasekera, Dushyanthi, Lester, Yvonne, Lyle, Amanda, McNeela, Fiona, Oborska, Aneta, Pennington, James, Perkins, Lauren, 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John, Diamond-Fox, Sadie, Doherty, Helen, Dutta, Bhaskar, Fortune, Jonathan, Gatehouse, Alexandra, Gibson, Jane, Hay, David, Hillier, Steve, Hindmarch, Paul, James, Michael, Keshvara, Kiran, Kotur, Karuna, Lawley, Peter, Lochanie, Nimali, Macbeth, Lisa, Madhu, Yamuna, Marcangelo, Sam, McShane, Lesley, Morgan, Amy, Mowat, Stephen, Nelson, Joshua, O'Leary, Denis, Partridge, Jennifer, Pearson, Janaki, Poulton, Tom, Prasad, Sneha, Protheroe, Kay, Qureshi, Adnaan, Rangaswamy, Girish, Richardson, Victoria, Scott, Carmen, Smallshaw, Karen, Soliman, Abdelrahman, Soulsby, Graham, Wahed, Anna, Walker, Iain, Welch, Sarah, Wilson, Jessica, Winkley, Elaine, Womack, Jonathan, Mitchell, Joellene, O'Brien, Peter, Callaghan, Debbie, Clarke, Ruth, Foggo, Graeme, Gilmour, Danielle, Hickey, Stephen, Hii, Stephanie, Livingstone, Susan, McAtear, Megan, Meehan, Sharon, Milne, Gemma, Small, James, Williams, Dewi, Jardine, Catherine, White, Graham, Wright, David, Hunter, Katie, Fleming, Gillian, Marc Hastie, P.A.-A., Hunter, Catherine, Lockhart, Jennifer, Reid, Kirsten, Robb, Hilary, Harten, Johann, Crooks, Barbara A., Ratnasabapathy, Urmila, Staber, Manfred, Pettigrew, Tom, Varveris, Daphne, Brett, Michael, Appleton, Richard, Briskoe, Michael, Brown, Graeme, Brown, Stewart, Christie, Fiona, Coady, Guy, Cowan, Richard, Drysdale, Alice, D'Sylva, Stewart, Edgar, Paul, Finnie, Graeme, Gardner, John, Gupta, Shub, Hall, Colin, Hamilton, Jane, Hunter, Laura, Ikram, Umairali, Imrie, Gregor, Kerr, Euan, Kinsella, Michael, Kommer, Maya, Lafferty, Brian, Lochrin, Christopher, Lovejoy, Tom, Loy, Maria, MacLean, Aillison, MacPherson, David, Marshall, Cara, Mawhinney, Ruth, McAteer, Claire, McCaul, Prof James, McCusker, Michael, McDowall, Katherine, McGovern, Christopher, Mckie, Stewart, Morrison, Melanie, Mulla, Suleman, Neale, Elizabeth, Niciu, Cristina, Ong, Su Ying, O'Sullivan, Finbar, Parcell, Sophie, Ramsay, Sarah, Robson, Rebecca, Roy, Nithin, Samuel, Jasmine, Scotland, Gemma, Sharma, Natasha, Slade, Kate, Soosay, Alvin, Soulsby, Charlotte, Steuart, Lois, Stevenson, Sara, Sweeney, Laura, Tan, Kerwei, Taylor, Calum, Th'ng, Francesca, Thompson, Caroline, Wardlow, James, Watson, Martin, Williams, Robin, Woodier, James, Young, Simon, Robinson, David, Howes, Jacqueline, Berwick, Scott, Boyle, Andrew, Brown, Neil, Celnik, Anna, Coleman, Alistair, Elwkhiee, Mohamed, Fernandes, Mario, Hanlon, Katie, MacLean, Sarah, Morgan, Rhian, Edgar, Jonathan, Chapman, Roddy, Razouk, Khaled, Atrah, Ali, Bhat, Sunny, Bramma, Yvonne, Campbell, Euan, Campbell, Rachel, Cormack, Anna, Dalchow, Stephan, Dodd, Ammy, Ferguson, Laura, Ferraioli, Donna, Hynd, Moyra, Janeczko, Adam, Jeffrey, Sally, Kinsey, Tony, Kummur, Yuvaraj, McIntosh, Karen, McKenna, John, Mclaughlin, Maria, Millington, Ryhs, Murphy, Emma, Parker, Kris, Reevell, Tom, Robertson, Fiona, Shankey-Smith, Will, Slorach, Colum, Szelei, Tamas, Warnock, Geoff, Watson, Stuart, Alston, Peter, Geddes, Murray, McLellan, Stuart, Allen, Eireann, Birnie, Karen, Brown, Kirsteen, Critchley, Julia, Cullen, Margaret, Eros, Alex, Forbes, Callum, French, Helen, Hall, David, Hetherington, Jonathan, Kellner, Maximiliane, Kelly, Keith, Khaled, Hiba, Mantle, Damien, McLenachan, John, Midgley, Susan, Nimmo, Susan, Ordys, Bart, Phelan, Hannah, Roddam, Philip, Shaw, Louise, Smith, Carolyn, Steel, Elizabeth, Stuart, Robert, Sturrock, John, Waite, Alasdair, Waterson, Fraser, Watson, Hannah, Wood, Elizabeth, Schraag, Stefan, Boyd, Elizabeth, Jain, Surabhi, Matthews, Elaine, Rappai, Geejo, Barr, Catriona, Stewart, Michael, Christie, Sharon, Smith, Tim, Arrow, Kate, Austin, Pauline, Chapman, Susie, Little, Jonathan, Malein, William, Sadler, Amy, Younger, Rhona, Reavley, Caroline, Allan, Katy, Ashok, Vignesh, Boroojeny, Ayda Borjian, Cutts, John-Paul, Faulds, Fiona, Fernie, Mark, Gadre, Amit, Gately, Tom, Haddon, Richard, Induruwage, Lalani, King, Siobhan, Liddle, Sian, Mallett, Paul, Mehotra, Saurabh, Ali, Inthekab Mohammed, Morris, Rachel, Nunn, David, Ferraro, Rocio Ochoa, Padhi, Pulak, Prusack, Ewa, Quak, Edmund, Singleton, Georgina, So, Kin, Stolady, Daniel, Welch, Drew, Whitear, Michael, Wilkinson, Kathy, Wu, James, Yusaf, Alex, Kakodkar, Prashant, Ghoneim, Hoda Abou, Balliston, Sara, Dudgeon, Lucy, Idris, Muna Elsheikh, Karattuparambil, Juneenath, Nanda, Lohita, Raithatha, Bhavesh, Saad, Mahmood, Spimpolo, Jenny, Titinchi, Linda, Wilson, Julie, Winstone, Ulrika, Martindale, Sarah, Cameron, Ewen, Fenner, Lynn, Hartford-Beynon, Jake, Mooney, Iain, Mundy, Charlotte, Rhidian, Rhys, Scutt, Sophie, Todd, Anna, Graham, Fiona, Ashton, Amy, Cooper, Theresa, Davidson, Katherine, Eapen, Suresh, Crowther, Hannah, Hindmoor, Claire, McSkeane, Anna, Mostafa, Mahamed, Mudimadagu, Gururaj, Rice, Polly, Wilson, Antoinette, Henry, Garry, Hollister, Nigel, Hunt, Jane, Isaac, Amanda, Morris, David, Paredes-Guerra, Antonio, Pass, Katherine, Paul, Martin, Rait, Kiran, Rousseau, Guy, Shacklock, Emma, Skinner, Amanda, Stancombe, Lucia, Thomson, Laura, Nutt, Christopher, Wright, Geoffrey, Holland, Johnny, O'Neill, Orla, Sengottaiyans, Arun, Mitra, Atideb, Garg, Sanjeev, Adams, Jonathan, Aiyedun, Temitope, Ali, Hani, Biuk, Sahar, Bond, Bryany, Cheeseman, Michelle, Clayton, Mark, Cottam, Lisa-Jayne, Dent, Kathy, Evans, Elizabeth, Evans, Sandra, Goodhand, Hannah, Green, Karen, Hatton, Jonathan, Hill, Joanne, Hutchinson, Dorothy, Jacob, Shibu, Joseph, Renjith, MacNally, Laura, Mann, Jason, McTaggart, Virginia, Newton, Maria, Pearson, Sandra, Rayet, Jaspreet, Saunders, Rebecca, Saxena, Sandeep, Venkatesh, Hemamangala, Whotton, Nikita, Ezihe-Ejiofor, Ada, Barot, Hemangini, Bridger, Hayley, Elhallous, Shady, Ghafoor, Rizana, Manhas, Vitul, Patil, Tanmay, Sadavarte, Nitin, Tharmalingam, Bhamini, Pritchard, David, Bage, Jean, Higgin, Sarah, Krishnaier, Asokan, Neilly, Esther, Rayappu, Sean, Siaw, Chye, Songaile, Ilma, Standen, Peter, Suresh, Narayanan, Weston, William, Williams, Lynne, Yuchen, Jiang, Alagar, Ravi, Taylor, Adrian, Matata, Claire, McCrossan, Roopa, Robertson, Andrew, Shekar, Priya, Stoker, Wendy, Turnbull, Elizabeth, Watkinson, Clare, Worthy, Stephen, Yates, Bryan, Ignatov, Dancho, Davies, Matthew, Abdu, Ayman, Banni, Donata, Bowyer, Helen, Brooks, David, Buhmann, Ulf, Christenssen, Victoria, Collins, James, D'Sa, Aaron, Forde, Steven, Groves, Alice, Hosahalli, Jyothi, Hunt, Lauren, Koshy, George, Lee, Robyn, Martin, Susan, McKnight, Angus, Murphy, Piers, Nash, Henry, Nkanang, Bassey, Oracki, Pamela, Pauley, Tara, Pope, Alan, Samanta, Romit, Sgardelis, Panagiotis, Stocks, Tom, Vaitheeswaran, Sivaprakash, Verma, Priya, Vrazhalska, Madlena Ivanova, Weisz, Mike, Moppett, Iain, Arunachalam, Subha, Begum, Zorba, Bhangu, Sonia, Bown, Gemma, Chana, Avninder, Chhaniyara, Puja, Constable, Natalie, Delme, Luff, Fenner, Helen, Griffith, Oliver, Hackett, Stephen, Hewson, David, Inkpin, Kristofor, Jones, Richard, Kirkdale, Richard, Lyons, Ian, Mandal, Arnab, Mehrotra, Prerna, Murphy, Martin, Pearce-Smith, Alison, Priestley, Martin, Pyke, Shirley, Rasoli, Sonia, Sharma, Suneal, Squires, Gemma, Tsim, Peter, Veitch, Jonathan, Bond-Smith, Giles, Kay, Olivia, Siviter, Richard, Allen, John, Baxter, Linden, Beer, Sally, Bernardo, Mariana, Coles, Holly, Cudlip, Jo, Devries, Talitha, Duggleby, Phil, Espinosa, Alexis, Fitzgibbon, Karina, Galente, Joao, Georgiou, Domonique, Ghosh, Soumi, Hingley, Nicholas, Kingan, Ryan, Levett, Chris, Martinez, Jose, Mattin, Alex, Moore, Anna, Morrish, Samuel, Nash, Amy, Patel, Tejuswi, Roe, Cieron, Thwaites, Victoria, Wali, Anuj, Watterson, Dafydd, Charlotte Yates, Anna Wilson, Gimenez, Marc, Boltres, Anita, McClean, Rebecca, Papadopoullos, Sam, Teh, Elena, Webb, Stephen, Brammar, Andrew, Humphreys, Joanne, Alibhai, Moiz, Alston, Daisy, Cohen, Jolyon, Coleman, Laura, Davies, Simon, Dervin, Dionne, Dooley, Rebecca, Drummond, Andrew, Findlay, Douglas, Fleming, Naomi, Hammoud, Yazzim, Hussain, Sanniah, Irwin, Katy, Javed, Asad, Kent, Linda, Lock, Lorraine, McSorland, Denise, Meadows, Alison, Mulligan, Paula, Nichols, Wendy, O'Callaghan, Maria, Ogor, Jonathan, Poole, Joanna, Ryder, Geoffrey, Shakoor, Akmal, Teo, Wei, Minto, Gary, Adshead, Stephen, Anderson, Helen, Carpenter, Adam, Clelland, Stuart, Datar, Priya, Elloway, Esme, Holl, Matt, Hulbert, Aidan, Humphreys, James, Hyams, Ben, McAleer, Sam, Newmarch, Mary, Notman, Holly, Patrick, Abigail, Perham, Anna, Pitman, Catherine, Reed, Fiona, Sampson, Paul, Smith, Hannah, Spinney, Sam, Toms, Nina, Warrener, Tim, Girgis, Michael, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Davies, Jack, Hamilton, Alex, Linton, Fiona, Nussbaum, Greg, Patch, Sarah, Simpson, Diane, Tbaily, Lee, Bain, James, A'Court, Alicja, Barr, Emma, Blethyn, Kate, Craig, Thomas, Cutler, Hugh, Davies, Jenny, Fry, Rebecca, Hawes, Elizabeth, Jenkins, Nicholas, Knight, Martin, Restall, David, Stubbs, Matthew, Sutherland, Angus, Swarbrick, Claire, Wilson, Robin, Winwright, Paul, Hamilton, Kevin, Adams, Anne, Allen, Orlanda, Boampomaa, Marilyn, Boniface, Anna-Marie, Coe, Robert, Daniel, Amelia, Finn, Joanne, Gill, Issac, Griffiths, Huw, Hackney, Joanna, Han, Ruth, Hare, Edward, Rintoul, Edward, Shpuza, Ervin, Smith, Ruth, Staines, Nikki, Suppiah, Puvan, White, Tracey, Pearson, Darcy, Cracknell, Ben, Farrell, Nadine, Hermanowski, Jane, Hodgson, Ruth, Hoskins, Toby, Jones, Rhiannon, Keable, Sam, Rosbergen, Melissa, Giles, Julian, Dawes, Thomas, Green, Ben Eden, Pottinger, Gail, Weller, Debbie, John, John, Burgess, Lisa, Denton, Jean, Done, Alaine, Edwards, Jayne, Garrett, Theresa, Gilla, Rajesh, Griffith-Norris, Samantha, Jones, Teresa, Linklater-Jones, Barbara, Nicholas, Claire, Owen, Sara, Perkins, Charlotte, Rowlands, Tessa, Steen, Julie, Turner, Sarah, Wales, Johanna, Woolley, Carol-Ann, Hormis, Anil, Collier, Dawn, Dixon, Kathryn, Gardner, Michael, Murray, Vicky, Soar, Harry, Walker, Rachel, Yaruk, Shifa, Yarwood, Daniel, Dill-Russell, Patrick, ruthy Arumugam, Bird, Georgina, Bleasby, Nichola, Chater-Lea, Peter, Craig, Emma, Davies, George, Foxton, Julie, Gilfillan, Helen, Jerram, Keelan, Kudsk-Iversen, Søren, Lee, Rebecca, Livesy, John, Mohabir, Amanda, Morris, Katherine, Raffles, Mike, Smith, Annika, Wang, Huiqi, Craig, James, Barratt, Nina, Bates, Andy, Bokor, Norbert, Cranshaw, Julius, Dominguez, Sergio, Fraine, Annette, Green, Richard, Molloy, Katie, Penny, Christina, Pitts, Sally, Purandare, Laura, Rabbi, Taslima, Serrano, Monica, Stoycheva, Tina, Vamplew, Luke, Williams, Steve, Berry, Julian, Adams, Benita, Bean, Sarah, Burt, Karen, Devooght-Johnson, Nicki, Hammonds, Fiona, Nicholls, Tom, Rowe, Michelle, Summers, Jessica, Ward, Olivia, Wroath, Belinda, Young, Gabbie, Matthews, Cathryn, Crosbie, Gearoid, Dunn, Alex, Eddy, Sara, Garcia, Lynda, Garwood, James, Green, Adam, Gupwell, Karin, Jones, Nicola, Marriott, Suzie, Masood, Mohammad, Mazzola, Francesca, McEvoy, Evanna, Ng, Yang, Park, Linda, Pauling, Stephanie, Potter, Alison, Renton, Caroline, Samways, Adam, Sibley, Pauline, Stead, Jenny, Thorpe, Kevin, Turner, Elizabeth, Walter, Michelle, Windsor, Kevin, Jha, Rajeev, Hooker, Nicolas, Kidel, Carlos, Abayalingam, Mayavan, Boulding, Richard, Coakley, Philip, Elahi, Noor, Helder, Filipe, Hilton, James, Joshi, Kunal, Kaur, Rupinder, Male, Victoria, Naji, Saqib, Pinto, Manuel, Rajendran, Yohinee, Save, Manjeet, Smith, Megan, Spence, Emily, Tang, Sophie, Urwin, Thomas, Wittenberg, Marc, Yan, Ruoling, Williams, Colin, Ardeshna, Arjun, Bamford, Peter, Hagyard, Sarah, Johnson, Patrick, McMonagle, Martina, Morris, Hayleigh, Murphy, Thomas, Papadopoulos, Stavros, Simpson, Emma, Smith-Williams, Jonathan, Vyapury, Vin, Juneja, Rohit, Black, Ethel, Eeles, Alex, Elliot, Justine, Jhanji, Shaman, Knoetze, Reynard, McCanny, Jamie, Oswald, Lauren, Roderick, Ellie, Gunning, Paul, Siddaiah, Narendra, Balachandar, Krishna, Bhimarasetty, Chandra, Bird, Laura, Blunt, Conny, Da Silva, Egidio, Darbyshire, Mark, Echaveznaguicni, Irene, Girgis, Youssef, Goodman, Martin, Gowda, Dinkar, Gowni, Rajashekar, Hayes, Melony, Jackson, Natalie, James, Anitha, Jayapal, Rekha, Jones, Claudette, Leung, Enid, Minhas, Simran, Mubarak, Mona, Muniyappa, Sudeshkumar, Nassa, Zehrin, Neal, Tom, Nyangoni, Kudakwashe, Panchakshariah, Suresh, Philpott, Bethany, Pinner, Craig, Pygall, Daniel, Rangaiah, Manamohan, Rao, Anil, Rea, William, Shellard, Richard, Shinner, Guy, Sutherland, Tony, Tharakan, Liza, Thomas, Sue, Travasso, Betty, Venkatesh, Pyda, Wortley, Dionne, Dickinson, Matthew, Benoliel, Sophie, Doyle, Nanci, Marriott, Cheryl, Martin, Sarah, Montague, Laura, Penhaligon, Kate, Saha, Rita, Santhirapala, Ramai, Suntharanathan, Lushani, Wakeford, Nichola, Webb, Carly, Winterbottom, Toby, Jordan, Lesley, Aldridge, Matt, Bolton-Hill, Clare, Cook, Prof Tim, Kangesan, Inthu, Kettley, Laura, Mew, Edward, Penketh, James, Quinn, Eleonore, Scholes, Sam, Uppugonduri, Sreekanth Rayalu, Allen, Lara, Lyndsay Bibb, Jill Brown, Busby, Charlotte, Katherine Cheshire, Davis, Matron Beryl, Denyer, Rebecca, Julie Edwards, Gardiner, Laura, Haque, Shamim, Icke, Julia, Jones, Katherine, Donna McIntosh, Mandy Oakley, Prasad, Linda, Victoria Roberts, Smallwood, Andrew, Tammy Smith, Stelfox, Lucy, Angela Stevens, Angela Willberry, Pratt, Oliver, Chincholkar, Mahindra, Darwin, Leanne, Dearden, Joy, Flowerdew, Adele, Harrison, Louise, Hartley, Robert, Ingham, Andrea, Jones, Ben, Lee, Stephanie, Longdon, Elizabeth, Marsden, Tracy, Meats, Kirsty, Michael, Angiy, Norwood-Green, Drew, O'Loughlin, Victoria, Owen, Holly, Patel, Manju, Perez, Jane, Whiston, Jessica, Wood, Andrea, Williams, Simon, Billingham, Chloe, Clarke, Caroline, Holmwood, Xantha, Knighton, Melba, Sands, Becky, Stevens, Paul, Strong-Sheldrake, Sophia, Taylor, Matthew, Rambhatla, Mrutyunjaya Rao, Brodier, Elizabeth, Choudhry, Ozerah, Choudhry, Usman, Fitzmaurice, Bethany, Hulme, Jonathan, Kannan, Santhana, Mak, Kay Anne, Namih, Miriam, Rajdev, Bharati, Rambhatla, Swetha, Reilley, Stuart, Rice, Rebecca, Sethia, Nalini, Smith, Katy, Wakhle, Rahul, Walmsley, Chris, Wrench, Ian, Agyemang, Michael, Bell, Elizabeth, Bird, Sarah, Briscoe, James, Cruickshanks, Andy, Drinkwater, Jake, Eggleston, Sam, Elms, Henry, Hammon, Laura, Harris, Meredith, Harrison, Christopher, Hirst, Claire, Housley, Kay, Kapoor, Krish, Kibutu, Faith, Kilner, Beverly, King, Emily, Kirk, Emily, Marshall, Esme, Mazzone, Paolo, Middle, Janet, Milner, Leanne, Mitchell, Adam, Morris, Becky, Mudd, Alexandra, Needham, Matthew, Nicholas, James, Penson, Rob, Perfitt, Joel, Pinkerton, Mark, Recto, Mayeth, Rehnstrom, Maria, Riley, Catherine, Ryan, Lorna, Smith, Jennie, Strong, Samantha, Thornley, Helen, Tookey, Bethany, West, Daniel, Whitaker, John, Willcock, Sarah, Willoughby, Shay, Wright, Jane, Jones, Paul, Abbott, Riquella, Bacon, Lisa, Godden, Christopher, Howe, David, Loughlin, Angela, Moore, Helen, Passey, Samuel, Rodgers, Rebekah, Foley, Paul, Hagan, Samantha, Marcus, Simon, Gardner, Irene, Haslam, Zena, Morrison, Moira, Obeysekera, Chai, Porter, Kim, Terrett, Helen, Henning, Jeremy, Baillie, Kirsty, Buchanan, Ella, Cain, Martyn, Colling, Kerry, Duarte, Raquel, Gibb, Chris, Hynd, Ryan, Irvine, Victoria, Lyons, Rob, Middleton, Karoline, Razaque, Usman, Sheikh, Faisal, Tabiner, Tariq, Frey, Christian, Brown, Carly, Clifford, Gayle, McKee, Madeleine, Stidolph, Beverley, White, Emert, Campbell, Bridget, Mason, Sophie, Parsons, Penny, Santana-Vaz, Natasha, Stagg, Camilla, Shah, Nirav, Barnes, Veronica, Bedoes, Penny, Clarke, Jonathan, Crichton, Robert, Das, Madhurima, Davies, Paul, Farrah, Helen, Hegarty, Aoife, Howlett, Luisa, Kleine-Brueggeney, Maren, Ma, Samson, Marsh, Veronica, McAndrew, Katherine, Mellinghoff, Johannes, Oscier, Christopher, Ryan, Christine, Smee, Elizabeth, Thurairasa, Dushanthi, Goel, Vandana, Adeney, Christopher, Behl, Sanjay, Chadwick, Karen, Coleman, Thomas, Davies, Claire, Dealing, Sharon, Elwood, Jamie, Fadden, Emma, Gillies, Stella, Kennedy, Tom, Miller, Thomas, Morton, Simon, Reilly, Rebecca, Smyth, Sue, Syratt, Thomas, Welfare, Emma, Thomas, Elizabeth, Awolesi, Jennifer, Bennett, Hannah, Bradshaw, Elizabeth, Crabtree, David, Duraman, Lauren, Hughes, Kerry, Kirk, Sarah, Leonard, Dee, Stoeter, Rachel, Parrington, Simon, Andorka, Matyas, Ang, Kingsin, Bailey, Linda, Brooks, Stephanie, Chiu, Oon, Collins, Sally, Jack, James, Knight, Harry, Lynn-Smith, Anastasia, Mackenzie, Matt, Maher, Sarah, Nimako, Louise, Sangaralingham, Siva, Sanusi, Seliat, Weller, Samantha, Willard, Elizabeth, Kulkarni, Anand, Carroll, Peter, Clark, Martyn, Coulding, Martina, Denman, Elizabeth, El Habishi, Mohyman, Haywood, Patrick, McConniffe, Jane, McCormick, Jacqueline, Melachuri, Krishnakar, Philip, Evelyn, Ridgway, Stephanie, Savill, Heather, Sharif, Kamal, Vere, Joanne, Harris, Stephen, Coombs, Alex, Darch, Flora, Doble, Patricia, Foot, Jayne, Gillett, Chris, Judd, Thomas, Moss, Alison, Pawley, Corinne, Tait, Moira, Whitcher, Alison, Wood, Natalie, Montgomery, Jane, De Selincourt, Gabrielle, Fitzell, Pauline, Flower, Katie, Horan, Kathleen, Hulance, Bianca, Mercer, Pauline, Shaw, Sarah, Webber, Robin, Kakkar, Manish, Joachim, Suganthi, Aggarwal, Seetal, Ali, Amr, Ang, Boon, Bhardwa, Vishnu, Deamer, Wendy, Filby, Lorna, Fletcher, Jo, Fombon, Felix, Gawley, Shannon, Gosavi, Chandrakant, Hindle, Julia, Lawrence, Tara, Maher, Robert, Moore, Samantha, Netherton, Kimberley, Orasanu, Teodora, Poimenidi, Evangelia, Potter, Louise, Ranasinghe, Niyesa, Ribeiro, Lester, Ruth, Thoy, Butler, Susie, Sutton, Tim, Thomas, Issy, Veluvolu, Divya, Walker, Thomas, Wariyapola, Charindri, Zaheer, Lail, Luoma, Valpuri, Ferguson, Catriona, Stewart, Adrienne, Bapat, Smita, Bose, Gahan, Bugo, John, Campbell, Marta, Cervi, Elizabeth, Ciechanowicz, Sarah, Coathup, Rachel, El-Wahab, Niveen, Frith, Claire, Gill, Preea, Gray, Martin, Luoma, Astri, Mehta, Sachin, Murali, Mayur, Mussad, Asya, Parker, Laura, Patch, Josh, Perella, Paolo, Robson, Emily, Setty, Thunga, Vieira, Filipe, Wall, Josh, Witby, Jon, Zghaibe, Wael, Zhang, Sheldon, Merron, Stephen, Abano, Nenette, Barnett, Loretta, Barry, Adrian, Birks, Pamela, Brade, Judith, Butler, Adrian, Carpio, Racquel, Colclough, Viv, Eaton, Katrina, Edwards, Carol, Emery, Lisa, Finney, Kay, Gallagher, Susan, Ghatge, Satyajeet, Grocott, Jeanette, Hall, Amanda, Hardwick, Alison, Harrison, Anne, Hendy, Susan, Hiden, Joanne, James, Alex, Jeganath, Vijay, Kumar, Rahul, Lord, Stephen, Lovatt, Rachel, Lyjko, Susan, Maguire, Holly, Marsden, Mia, Mehta, Venu, Mishra, Rajeev, Mittal, Rohit, Moores, Andrew, Nalwaya, Pramod, Omeara, Matthew, Orosz, Sandor, Patel, Nehal, Pattison, Nicola, Ponce, Ida, Puttapa, Ashok, Rajamanickam, Tamilselvan, Rao, Nagaraj, Remegoso, Alda, Rhodes, Rochelle, Rooney, Angela, Sadler, Emma, Singh, Permendra, Soon, Wai, Tomlins, Simon, Umbarje, Kanchan, Vallabhaneni, Murali, Varquez, Resti, Wain, Jill, White, Sorana, Willetts, Elizabeth, Williams, Benedict, Wood, Andrew, Washington, Stephen, Anipindi, Sujata, Aston, Jennifer, Bradley-Potts, Joanne, Butler, Ian, Cunningham, Jennifer, Duncan, Alastair, Garrard, Hywel, Haslam, Daniel, Kirk, Danielle, McCormick, Richard, McEvoy, Michael, Mistry, Sara, Ormandy, Danielle, Sharp, Tracy, Song, Andrew, Williamson, Georgina, Young, Francis, Tasker, Laura, Bailey, Elizabeth, Baker, Roisin, Bamford, Amy, Bergin, Colin, Blackburn, Julia, Bodo, Kinga, Carrera, Ronald, Cooper, Lauren, Despy, Liesl, Ellis, Karen, Foster, Morgan, Garner, Sharon, Harkett, Lyndon, Harkett, Samantha, Ip, Peter, Lay, Frances, Liu, Hon Sum, Mee, Laura, Nazir, Samir, Osbourne-Wylde, Jacob, Patel, Krupali, Pope, Martin, Reeves, Emma, Sahni, Melanie, Small, Charlotte, Spooner, Brendon, Spruce, Elaine, Whitehouse, Arlo, Wharton, Nicholas, Alexander, Rachel, Ashford, Amy, Aspinall, Rebecca, Bateman, Richard, Bell, Matthew, Bennett-Britton, Jennifer, Bewley, Jeremy, Blanshard, Hannah, Bourdeaux, Christopher, Brook, Peter, Cain, Helen, Cameron, Claire, Cassells, Naomi, Chauhan, Nilesh, Clarke, Adrian, Cockroft, Melanie, Cohen, Alan, Collins, Joanna, Cominos, Timothy, Craven, Rachael, Davies, Ian, Dolling, Sarah, Dowse, Claire, Driver, Kate, Duffen, Adam, Dunn, Sarah-Jane, Earnshaw, Charlotte, Forrest, Frances, Freshwater-Turner, Dan, Gardner, Issie, Gibbins, Matthew, Gibbison, Ben, Gleeson, Suzanne, Gould, Timothy, Govier, Matthew, Gupta, Benjamin, Hadfield, John, Harvey, Nicola, Henderson, Sophia, Herbert, Lara, Hillier, James, Hood, Elizabeth, Howes, Ben, Howes, Helen, Hughes, Sian, Jackson, Kathryn, Jacobs, Toby, Jenkins, Emma, Jenkins, Ian, Johnstone, Alistair, Jones, Lydia, Jones, Rebecca, Joshi, Natasha, Kamalanathan, Kajan, Kellie, Neil, Kidd, Lawrence, Kinsella, Mike (Stephen), Knight, Thomas, Leslie, Rebecca, Linter, Stephen, Lovell, Tim, Martin, Matthew, McHugh, Ursula, McIndoe, Andrew, McKendry, Rachel, Middleditch, Alexander, Miles, Edward, Milne, Lesley, Molyneux, Mat, Muchatuta, Neil, Murphy, Ruth, O'Higgins, Fran, Oglesby, Kieran, Pachucki, Marcin, Paoloni, Claudia, Patel, Nishita, Patton, Catherine (Katie), Paulich, Skylar, Pearson, Annabel, Pickering, Anthony, Platt, Martin, Pope, Charlie, Pryn, Steve, Ranjan, Amit, Rasburn, Neil, Ray, Andrew, Rivers, Jonathan, Rooney, Kieron, Ryder, Ian, Sanders, Sarah, Sasi-Kumar, Kavita, Scott, Liam, Scrutton, Mark, Searles, Chloe, Self, James, Shah, Sanjoy, Sheils, Mark, Shipway, Toby, Short, Heather, Simmonds, Lauren, Smith, Daniela, Soodan, Anjali, Steeds, Charlotte, Sweet, Katie, Syme, Phoebe, Thomas, Matthew J., Tomkins, Sally, Underwood, Susan, Wagstaff, Adrian, Watson, Paul, Webster, Denise, Welham, Katie, Whaley, Anne, Williams, Helen, Wilson, Hannah, Winton, Anoushka, Woodward, Thomas, Worthington, Jeanie, Younie, Stuart, Bradbury, Carol, Auldin, Mohammad, Bosworth, Kate, Choksey, Falguni, Dudkowsky, Bernice, Elton, John, Evans, Gail, Grove, Charlotte, Ingram, Clare, Kelly, Andrew, Lax, Peter, Lynes, Elena, Madden, George, Mistry, Vinesh, Molitor, Timothy, Morgan, Catherine, Morris, Natalie, Pallister, Emily, Patel, Pooja, Ragothaman, Vijay, Ramm, Katie, Robinson, Ben, Sharma, Meghna, Shuttleworth, Daniel, Vaidyanath, Chandrashekhar, Warren, Jen, Wong, Rachel, Lau, Gary, Conway, Hannah, Majeed, Adeel, Parmar, Jaina, Rana, Meenal, Yusuff, Hakeem, Rimmer, Corinne, Abdelrhamen, Wael, Allison, Kathryn, Burns, Karen, Cahill, Nichola, Clark, Jon, Donaldson, Hannah, Heseltine, Nick, Mackenzie, Nicola, McArthur, Carol, Moreland, Neil, Shohelly, Sharmin, Thatcher, Hilary, Tran, Steven, Walker, Catriona, Al-Rawi, Samar, Wakatsuki, Mai, Aarvold, Alice, Addy, Melissa, Ashfield, Georgina, Beauchamp, Nigel, Belcher, Alex, Bennett, Tom, Burgess, Victoria, Burton, Andy, Campbell, Matthew, Cruikshank, Ross, Cumpstey, Andy, Davies, Rhys, Ford, Chris, Ford, Renee, Hawkins, Lesley, Hendra, Tim, Huttley, Thomas, Jolly, Erica, Kalcheva, Nevena, Kennedy, Charlie, Lees, Jessica, Lowe, Richard, Martindale, Tim, McCormick, Sarah, McPhee, Hannah, Millinchamp, Fran, Muddanyake, Rahul, Osorio, Eduardo, Patel, Kiran, Pestell, Samuel, Phillips, Steve, Plumb, Jamie, Pratt, Thomas, Quartermain, Bert, Reeves, Rebecca, Robin, Sophie, Scully, Thecla, Sehgal, Anamika, Seifalan, Said, Shuttleworth, Suzanne, Siddique, Omar, Sleap, Esme, Smith, Victoria, Snooks, Richard, Solanki, Virginia, Timmons, Christina, Trimble, Alice, Tunney, Doug, Walker, Kat, Wee, Naomi, Wigley, James, Wilkins, Huw, Wong, Hanna, Wood, Laura, Yogya, Dinithi, Young, Ruth, Shanbhag, Sumant, Ameer, Farrukh, Finnity, Jonathan, Haddock, James, Hunt, Alex, Kuravi, Aditya, Lenehen, Fionnuala, McOwat, Lindsay, Naqvi, Asad, Richardson, Lisa, Siddons, Victoria, Charters, Seema, Jumani, Deepa, Bradley, Peter, Bubb, Laura, Chan, Rebekah, Connell, Lynne, Crone, Rachel, Davis, Hannah, Defeyter, Pascal, Evans, Alison, Howard, Ramdas, Prady, Helena, Rogers, Natalie, Roughley, Lindsay, Whittle, Helen, Zeinali, Daniel, Cherian, Vinanti, Latif, Muhammad Usman, Bajwa, Maqsood, Guy, Jonny, Guz, Krzysztos, Iftikhar, Nauman, Iwanicka, Beata, Khan, Mujeeb, Love, Anna-Marie, Montgomery, Celia, Mulvany, Stephen, O'Kane, Emma, O'Kane, Sinead, Siddiqui, Mansoor, Small, Cathal, Subhani, Shaik, Dana, Emily, Kennedy, Richard, Amey, Isobel, Ashton, Hilary, Baird, Yolanda, Bushell, Caroline, Chadbourn, Indra, Cohen, Merle, Finlay, Emma, Gilbert, Jeanette, Helm, David, Lewis, Carla, Macallan, Jenny, Margalef, Jordi, Martins, Nic, Metiu, Gabi, Moore, Sally, Rose, Hannah, Standley, Tom, Page, Valerie, Bakonyi, Tomas, Ben-Nathan, Simon, Claridge, Melanie, Evans, Jackie, Gardiner, Harriet, Kantsedikas, Ilya, Lachana, Ann, Makker, Ratna, Markwell, Karen, Merrill, Colin, Mukerjee, Prasun, O'Donohoe, Lynn, Oglesby, Fiona, Osbourne, Laura, Parker, Beena, Passaro, Emelia, Russell, Katherine, Shah, Sneh, Sundayi, Saul, Walker, Elaine, Zhao, Xiao, Hosdurga, Guru, Cotterill, Donna, Crowther, Nicola, Dymond, Harvey, Ratcliffe-Law, Thomas, Saunders, Glenn, Saunders, Thomas, Gopal, Vijayakumar, Ahmed, Sajjad, Ali, Abdalla, Crawford, Sarah, De'Ath, Clare, Humphreys, Sally, Swanevelder, Carin, Yap, Yeng, Silk, Jane, Adeniba, Rashidat, Armstrong, Richard, Egole, Osi, Fan, Karen, Gilbert, Kayleigh, Gould, Laura, Hickman, John, Long, Fei, Pahary, Sheik, Reichman, Michelle, Simpson, Kathryn, Singaravelu, Suresh, Ahmed, Dabeeruddeen, Brailsford, Fiona, Bridge, Laura, Collis, Lauren, Jacob, Reni, Jones, Cathy, Kirrage, Amanda, Lowe, Jessica, Mullen, Joanne, Prenter, Andrew, Sarao, Sarbpreet, Sharpley, David, Wankhade, Kavita, Persad, Cindy, Burtenshaw, Andrew, Blyth, Kate, Corcoran, Felicity, Davis, Caroline, Dolan, Rachel, Hussain, Nageena, Pearson, Emma, Pierson, Anna, Poyntz, Victoria, Thrush, Jessica, Wollaston, Alex, Wollaston, Julie, Clements, Paul, Biswas, Arindam, Clayton, Sarah, Clayton, Thomas, Cochrane, Naomi, Duell, Kirsty, Evans, James, Gaskell, Mark, Heaton, Dianne, Heaton, Linzi, Hill, Claire, Killen, Ruth, Latham, Sandra, McIntosh, Gemma, Moore, Chris, Parkinson, Val, Pemberton, Nicola, Robinson, Matthew, Sawyer, Alastair, Sykes, Isabelle, Taylor, Tracey, Tierney, Caroline, van de Snepscheut-Jones, Katja, Wade, Emily, Wahid, Mohammed, Wang, Henry, Williams, Claire, Wu, Dominic, Yadagiri, Manjula, Zabauski, Dmitry, Troth, Laura, Andrews, Eleanor, Bains, Ranjit, Beard, Laura, Birch, Janine, Britton, Rachael, Salmon, Mike, Vassell, Elizabeth, Kubisz-Pudelko, Agnieszka, Allen, Jamie, Allison, Joanna, Baird, Andrew, Gregory, Rob, Luckhurst, Hannah, Mairs, Rebecca, Marshall, Ben, Pippard, Lucy, Pitt-Kerby, Tressy, Savva, Andrew, Walkden, Graham, Weegenaar, Celly, Chandler, Ben, Kanakaraj, Muthuraj, Chamberlain, Andy, Dyer, Simon, Elliott, Kerry, Forshaw, Greg, Furness, Rosie, Gibson, Andy, Howe, Laura, Kent, Sarah, Rodgers, Alicia, Straughan, Ben, Temlett, Emma, Whitwell, John, Wong, D.J.N., Harris, S.K., and Moonesinghe, S.R.
- Published
- 2018
- Full Text
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29. Feeding strategies for the acquisition of high-quality food sources in stream macroinvertebrates : Collecting, integrating, and mixed feeding
- Author
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Guo, Fen, Bunn, Stuart E., Brett, Michael T., Fry, Brian, Hager, Hannes, Ouyang, Xiaoguang, and Kainz, Martin J.
- Published
- 2018
30. Quantifying learning in biotracer studies
- Author
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Brown, Christopher J., Brett, Michael T., Adame, Maria Fernanda, Stewart-Koster, Ben, and Bunn, Stuart E.
- Published
- 2018
31. An assessment of assumptions and uncertainty in deuterium-based estimates of terrestrial subsidies to aquatic consumers
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Brett, Michael T., Holtgrieve, Gordon W., and Schindler, Daniel E.
- Published
- 2018
32. Prediction of the performance of adhesively-bonded composite joints
- Author
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Brett, Michael Alexander de Oliveira, Taylor, Ambrose, and Kinloch, Anthony
- Subjects
620.199 - Abstract
The use of adhesively-bonded joints instead of the traditional types of joining can give reduced weight and increased stiffness in a structure. However, most industries have concerns about the use of adhesive joints in anything other than secondary structures, due to uncertainties over the long-term service life. This thesis discusses the prediction of the lifetime of adhesively-bonded composite structures. A fracture mechanics approach was used to characterise the fracture behaviour of an epoxy film adhesive, Cytec FM-300M, mainly using composite substrates prepared using wet peel ply, removing the need for any additional surface treatment. Aluminium alloy substrates were also used for some tests. Tapered double cantilever beam and double cantilever beam specimens were used to determine the mode I critical strain energy release rate, GIC, and end loaded split specimens were tested to obtain the mode II critical strain energy release rate, GIIC. Lastly, fixed ratio mixed mode specimens were used to obtain the relationship between GIC and GIIC when a joint undergoes mixed mode failure. For validation purposes, single lap joint and double scarf joint specimens were also tested. These data were then applied in finite element models using Abaqus. Two different modelling techniques were used, the virtual crack closure technique and cohesive zone modelling, CZM. Simulations of the tests performed were executed, in the process obtaining the CZM fitting parameters. Good agreement with the experimental data was verified for each of the models tested. Fatigue tests were also performed in order to obtain the mode I and mode II threshold values of the fracture energy below which crack growth did not occur, by executing double cantilever beam and end loaded split tests, respectively. For validation purposes, single lap joint fatigue tests were also performed to determine the threshold maximum load the joint could withstand without failure. Finally, using the CZM fitting parameters obtained in the quasi-static tests and the experimentally obtained threshold values of the fracture energy, modelling of single lap and double scarf joints was performed in order to predict the maximum load value for which no failure would occur when subject to cyclic loading. These predictions showed excellent agreement with the experimental results, showing that this simpler model can obtain good results.
- Published
- 2012
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33. Phytoplankton Essential Fatty Acid and Phosphorus Content Constraints on Daphnia Somatic Growth and Reproduction
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Ravet, Joseph L. and Brett, Michael T.
- Published
- 2006
34. Daphnia Fatty Acid Composition Reflects That of Their Diet
- Author
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Brett, Michael T., Müller-Navarra, Dörthe C., Ballantyne, Ashley P., Ravet, Joseph L., and Goldman, Charles R.
- Published
- 2006
35. When Is a Correlation between Non-Independent Variables "Spurious"?
- Author
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Brett, Michael T.
- Published
- 2004
36. Climatic Forcing and Primary Productivity in a Subalpine Lake: Interannual Variability as a Natural Experiment
- Author
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Park, Sangkyu, Brett, Michael T., Müller-Solger, Anke, and Goldman, Charles R.
- Published
- 2004
37. Effects of Climatic Variability on the Thermal Properties of Lake Washington
- Author
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Arhonditsis, George B., Brett, Michael T., DeGasperi, Curtis L., and Schindler, Daniel E.
- Published
- 2004
38. Compound‐specific stable isotopes resolve sources and fate of polyunsaturated fatty acids in biota of headwater streams
- Author
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Ebm, Nadine, primary, Guo, Fen, additional, Brett, Michael T., additional, Bunn, Stuart E., additional, Fry, Brian, additional, and Kainz, Martin J., additional
- Published
- 2023
- Full Text
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39. A Test of the Role of Polyunsaturated Fatty Acids in Phytoplankton Food Quality for Daphnia Using Liposome Supplementation
- Author
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Ravet, Joseph L., Brett, Michael T., and Müller-Navarra, Dörthe C.
- Published
- 2003
40. The Fatimids and the Counter-Crusade, 1099–1171
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
41. The Execution of al-Yāzūrī
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
42. Badr al-Jamālī and the Fatimid Renascence
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
43. The Poetry of Disaster
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
44. The Battles of Ramla, 1099–1105
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
45. Translation
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
46. The Way of the Peasant
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
47. Writing the History of Egypt for the New Cambridge History of Islam
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
48. The Diplomacy of Empire
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
49. The Origins of the Mamluk Military System in the Fatimid Period
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
50. The Ifrīqiyan Sijill of al-Mustanṣir, 445 H/1053–4 CE
- Author
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Brett, Michael, primary
- Published
- 2019
- Full Text
- View/download PDF
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