7,307 results on '"Lewis, G."'
Search Results
2. From movement to motivation: a proposed framework to understand the antidepressant effect of exercise
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Hird, E. J., Slanina-Davies, A., Lewis, G., Hamer, M., and Roiser, J. P.
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- 2024
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3. Flying fast improves aerodynamic economy of heavier birds
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Bishop, Charles M., Halsey, Lewis G., and Askew, Graham N.
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- 2024
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4. A taxonomic revision of the genus Weberbauerella Ulbr. (Leguminosae: Papilionoideae) in Peru and Chile
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Orellana-Garcia, A., Hechenleitner, P., Whaley, O. Q., Capcha-Ramos, J., Moat, J., and Lewis, G. P.
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- 2024
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5. Ambient Air Quality Measurements Along High- and Low-Density Traffic Routes in Southwestern Nigeria
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Joshua, O. H., Asubiojo, O. I., Adebiyi, F. M., Oluwole, A. F., Fasuyan, A. S., and Lewis, G. A.
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- 2023
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6. Flying fast improves aerodynamic economy of heavier birds
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Charles M. Bishop, Lewis G. Halsey, and Graham N. Askew
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Medicine ,Science - Abstract
Abstract A paradox of avian long-distance migrations is that birds must greatly increase their body mass prior to departure, yet this is presumed to substantially increase their energy cost of flight. However, here we show that when homing pigeons flying in a flock are loaded with ventrally located weight, both their heart rate and estimated energy expenditure rise by a remarkably small amount. The net effect is that costs per unit time increase only slightly and per unit mass they decrease. We suggest that this is because these homing flights are relatively fast, and consequently flight costs associated with increases in body parasite drag dominate over those of weight support, leading to an improvement in mass-specific flight economy. We propose that the relatively small absolute aerodynamic penalty for carrying enlarged fuel stores and flight muscles during fast flight has helped to select for the evolution of long-distance migration.
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- 2024
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7. Factors affecting pregnancy rates in mares bred with cryopreserved semen
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Pasch, L., Stefanovski, D., Dobbie, T., Lewis, G., and Turner, R.M.
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- 2024
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8. Genetic architecture of dispersal behaviour in the post-harvest pest and model organism Tribolium castaneum
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Pointer, Michael D., Spurgin, Lewis G., Gage, Matthew J. G., McMullan, Mark, and Richardson, David S.
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- 2023
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9. Spiritual Lessons from Life Experiences
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Lewis G. Proper
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- 2024
10. Histologic, metabolomic, and transcriptomic differences in fir trees from a peri‐urban forest under chronic ozone exposure
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Verónica Reyes‐Galindo, Juan P. Jaramillo‐Correa, Svetlana Shishkova, Estela Sandoval‐Zapotitla, César Mateo Flores‐Ortiz, Daniel Piñero, Lewis G. Spurgin, Claudia A. Martin, Ricardo Torres‐Jardón, Claudio Zamora‐Callejas, and Alicia Mastretta‐Yanes
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Abies religiosa ,natural settings ,ozone pollution ,terpenes ,transcriptomics ,Ecology ,QH540-549.5 - Abstract
Abstract Urbanization modifies ecosystem conditions and evolutionary processes. This includes air pollution, mostly as tropospheric ozone (O3), which contributes to the decline of urban and peri‐urban forests. A notable case are fir (Abies religiosa) forests in the peripheral mountains southwest of Mexico City, which have been severely affected by O3 pollution since the 1970s. Interestingly, some young individuals exhibiting minimal O3—related damage have been observed within a zone of significant O3 exposure. Using this setting as a natural experiment, we compared asymptomatic and symptomatic individuals of similar age (≤15 years old; n = 10) using histologic, metabolomic, and transcriptomic approaches. Plants were sampled during days of high (170 ppb) and moderate (87 ppb) O3 concentration. Given that there have been reforestation efforts in the region, with plants from different source populations, we first confirmed that all analyzed individuals clustered within the local genetic group when compared to a species‐wide panel (Admixture analysis with ~1.5K SNPs). We observed thicker epidermis and more collapsed cells in the palisade parenchyma of needles from symptomatic individuals than from their asymptomatic counterparts, with differences increasing with needle age. Furthermore, symptomatic individuals exhibited lower concentrations of various terpenes (ß‐pinene, ß‐caryophylene oxide, α‐caryophylene, and ß‐α‐cubebene) than asymptomatic trees, as evidenced through GC–MS. Finally, transcriptomic analyses revealed differential expression for 13 genes related to carbohydrate metabolism, plant defense, and gene regulation. Our results indicate a rapid and contrasting phenotypic response among trees, likely influenced by standing genetic variation and/or plastic mechanisms. They open the door to future evolutionary studies for understanding how O3 tolerance develops in urban environments, and how this knowledge could contribute to forest restoration.
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- 2024
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11. Tests of evolutionary and genetic rescue using flour beetles, Tribolium castaneum, experimentally evolved to thermal conditions
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Rebecca Lewis, Michael D. Pointer, Lucy Friend, Matthew J. G. Gage, and Lewis G. Spurgin
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genetic rescue ,inbreeding ,small populations ,Tribolium ,Ecology ,QH540-549.5 - Abstract
Abstract Small, isolated populations are often characterised by low levels of genetic diversity. This can result in inbreeding depression and reduced capacity to adapt to changes in the environment, and therefore higher risk of extinction. However, sometimes these populations can be rescued if allowed to increase in size or if migrants enter, bringing in new allelic variation and thus increasing genetic diversity. This study uses experimental manipulation of population size and migration to quantify their effects on fitness in a challenging environment to better understand genetic rescue. Using small, replicated populations of Tribolium castaneum experimentally evolved to different temperature regimes we tested genetic and demographic rescue, by performing large‐scale manipulations of population size and migration and examining fitness consequences over multiple generations. We measured fitness in high temperature (38°C) thermal lines maintained at their usual ‘small’ population size of N = 100 individuals, and with ‘large’ scaled up duplicates containing N≈10,000 individuals. We compared these large lines with and without migration (m = 0.1) for 10 generations. Additionally, we assessed the effects of outcrossing at an individual level, by comparing fitness of hybrid (thermal line × stock) offspring with within‐line crosses. We found that, at the population level, a rapid increase in the number of individuals in the population resulted in reduced fitness (represented by reproductive output and survival through heatwave conditions), regardless of migration. However, at an individual level, the hybrid offspring of migrants with native individuals generally demonstrated increased longevity in high temperature conditions compared with individuals from thermal selection lines. Overall, these populations showed no evidence that demographic manipulations led to genetic or evolutionary rescue. Following the effects of migration in individuals over several generations may be the next step in unravelling these conflicting results. We discuss these findings in the context of conservation intervention.
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- 2024
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12. Social network centrality predicts dietary decisions in a wild bird population
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Keith McMahon, Nicola M. Marples, Lewis G. Spurgin, Hannah M. Rowland, Ben C. Sheldon, and Josh A. Firth
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Animals ,Decision science ,Sociology ,Science - Abstract
Summary: How individuals balance costs and benefits of group living remains central to understanding sociality. In relation to diet, social foraging provides many advantages but also increases competition. Nevertheless, social individuals may offset increased competition by broadening their diet and consuming novel foods. Despite the expected relationships between social behavior and dietary decisions, how sociality shapes individuals’ novel food consumption remains largely untested in natural populations. Here, we use wild great tits to experimentally test how sociality predicts dietary decisions. We show that individuals with more social connections have higher propensity to use novel foods compared to socially peripheral individuals, and this is unrelated to neophobia, observations, and demographic factors. These findings indicate sociable individuals may offset potential costs of competition by foraging more broadly. We discuss how social environments may drive behavioral change in natural populations, and the implications for the causes and consequences of social strategies and dietary decisions.
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- 2024
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13. Social network centrality predicts dietary decisions in a wild bird population
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McMahon, Keith, Marples, Nicola M., Spurgin, Lewis G., Rowland, Hannah M., Sheldon, Ben C., and Firth, Josh A.
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- 2024
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14. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure
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Speakman, John R., de Jong, Jasper M. A., Sinha, Srishti, Westerterp, Klaas R., Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Liam J., Arab, Lenore, Bedu-Addo, Kweku, Blanc, Stephane, Bonomi, Alberto G., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Ghosh, Santu, Goris, Annelies H., Gurven, Michael, Halsey, Lewis G., Hambly, Catherine, Haisma, Hinke H., Hoffman, Daniel, Hu, Sumei, Joosen, Annemiek M., Kaplan, Jennifer L., Katzmarzyk, Peter, Kraus, William E., Kushner, Robert F., Leonard, William R., Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Meijer, Erwin P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Roberts, Susan B., Rudolph, Michael C., Sardinha, Luis B., Schuit, Albertine J., Silva, Analiza M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wood, Brian M., Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Kurpad, Anura, Luke, Amy H., Pontzer, Herman, Rodeheffer, Matthew S., Rood, Jennifer, Schoeller, Dale A., and Wong, William W.
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- 2023
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15. Are public libraries efficient? Evaluating scale economies of public libraries in the U.S. with a cost function approach
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Liu, Lewis G., Gee, Harold, and Terng, Charles
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- 2023
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16. Variability in variability: does variation in morphological and physiological traits differ between men and women?
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Lewis G. Halsey, Gabriel P. Esteves, and Eimear Dolan
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greater male variability ,variation ,human traits ,sexual dimorphism ,menopause ,menstrual cycle ,Science - Abstract
Many researchers presume greater variability between female participants than between males due to the menstrual cycle. This view has encouraged a sex bias in health and medical research, resulting in considerable knowledge gaps with important clinical implications. Yet in another field—evolutionary biology—the received wisdom is the reverse: that men are more variable, possibly due to male heterogamety. To test these competing hypotheses, we compared variance between the sexes for 50 morphological and physiological traits, analysing data from the NHANES database. Nearly half the traits did not exhibit sexual dimorphism in variation, while 18 exhibited greater female variation (GFV), indicating GFV does not dominate human characteristics. Only eight traits exhibited greater male variation (GMV), indicating GMV also does not dominate, and in turn offering scant support for the heterogamety hypothesis. When our analysis was filtered to include only women with regular menstrual cycles (and men of equivalent age), the number of traits with GFV and GMV were low and not statistically different, suggesting that the menstrual cycle does not typically explain GFV when it occurs. In practical terms, health and medical researchers should no longer simply assume that female participants will induce additional variation in the traits of interest.
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- 2023
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17. The role of loneliness in the association between chronic physical illness and depressive symptoms among older adults: A prospective cohort study
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Kandola, A., Solmi, F., Ajnakina, O., Ingram, E., Iob, E., Lee, S., Steptoe, A., Wright, T., and Lewis, G.
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- 2023
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18. Investigation of hospital discharge cases and SARS-CoV-2 introduction into Lothian care homes
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Robson, Samuel C., Connor, Thomas R., Loman, Nicholas J., Golubchik, Tanya, Martinez Nunez, Rocio T., Bonsall, David, Rambaut, Andrew, Snell, Luke B., Livett, Rich, Ludden, Catherine, Corden, Sally, Nastouli, Eleni, Nebbia, Gaia, Johnston, Ian, Prieto, Jacqui A., Saeed, Kordo, Jackson, David K., Houlihan, Catherine, Frampton, Dan, Hamilton, William L., Witney, Adam A., Bucca, Giselda, Pope, Cassie F., Moore, Catherine, Thomson, Emma C., Cutino-Moguel, Teresa, Harrison, Ewan M., Smith, Colin P., Rogan, Fiona, Beckwith, Shaun M., Murray, Abigail, Singleton, Dawn, Eastick, Kirstine, Sheridan, Liz A., Randell, Paul, Jackson, Leigh M., Ariani, Cristina V., Gonçalves, Sónia, Fairley, Derek J., Loose, Matthew W., Watkins, Joanne, Moses, Samuel, Nicholls, Sam, Bull, Matthew, Amato, Roberto, Smith, Darren L., Aanensen, David M., Barrett, Jeffrey C., Kele, Beatrix, Aggarwal, Dinesh, Shepherd, James G., Curran, Martin D., Parmar, Surendra, Parker, Matthew D., Williams, Catryn, Glaysher, Sharon, Underwood, Anthony P., Bashton, Matthew, Pacchiarini, Nicole, Loveson, Katie F., Byott, Matthew, Carabelli, Alessandro M., Templeton, Kate E., Peacock, Sharon J., de Silva, Thushan I., Wang, Dennis, Langford, Cordelia F., Sillitoe, John, Gunson, Rory N., Cottrell, Simon, O’Grady, Justin, Kwiatkowski, Dominic, Lillie, Patrick J., Cortes, Nicholas, Moore, Nathan, Thomas, Claire, Burns, Phillipa J., Mahungu, Tabitha W., Liggett, Steven, Beckett, Angela H., Holden, Matthew TG., Levett, Lisa J., Osman, Husam, Hassan-Ibrahim, Mohammed O., Simpson, David A., Chand, Meera, Gupta, Ravi K., Darby, Alistair C., Paterson, Steve, Pybus, Oliver G., Volz, Erik M., de Angelis, Daniela, Robertson, David L., Page, Andrew J., Martincorena, Inigo, Aigrain, Louise, Bassett, Andrew R., Wong, Nick, Taha, Yusri, Erkiert, Michelle J., Spencer Chapman, Michael H., Dewar, Rebecca, McHugh, Martin P., Mookerjee, Siddharth, Aplin, Stephen, Harvey, Matthew, Sass, Thea, Umpleby, Helen, Wheeler, Helen, McKenna, James P., Warne, Ben, Taylor, Joshua F., Chaudhry, Yasmin, Izuagbe, Rhys, Jahun, Aminu S., Young, Gregory R., McMurray, Claire, McCann, Clare M., Nelson, Andrew, Elliott, Scott, Lowe, Hannah, Price, Anna, Crown, Matthew R., Rey, Sara, Roy, Sunando, Temperton, Ben, Shaaban, Sharif, Hesketh, Andrew R., Laing, Kenneth G., Monahan, Irene M., Heaney, Judith, Pelosi, Emanuela, Silviera, Siona, Wilson-Davies, Eleri, Fryer, Helen, Adams, Helen, du Plessis, Louis, Johnson, Rob, Harvey, William T., Hughes, Joseph, Orton, Richard J., Spurgin, Lewis G., Bourgeois, Yann, Ruis, Chris, O'Toole, Áine, Gourtovaia, Marina, Sanderson, Theo, Fraser, Christophe, Edgeworth, Jonathan, Breuer, Judith, Michell, Stephen L., Todd, John A., John, Michaela, Buck, David, Gajee, Kavitha, Kay, Gemma L., Heyburn, David, Charalampous, Themoula, Alcolea-Medina, Adela, Kitchman, Katie, McNal, Alan, Pritch, David T., Dervisevic, Samir, Muir, Peter, Robinson, Esther, Vipond, Barry B., Ramadan, Newara A., Jeanes, Christopher, Weldon, Danni, Catalan, Jana, Jones, Neil, da Silva Filipe, Ana, Williams, Chris, Fuchs, Marc, Miskelly, Julia, Jeffries, Aaron R., Oliver, Karen, Park, Naomi R., Ash, Amy, Koshy, Cherian, Barrow, Magdalena, Buchan, Sarah L., Mantzouratou, Anna, Clark, Gemma, Holmes, Christopher W., Campbell, Sharon, Davis, Thomas, Tan, Ngee Keong, Brown, Julianne R., Harris, Kathryn A., Kidd, Stephen P., Grant, Paul R., Xu-McCrae, Li, Cox, Alison, Madona, Pinglawathee, Pond, Marcus, Randell, Paul A., Withell, Karen T., Williams, Cheryl, Graham, Clive, Denton-Smith, Rebecca, Swindells, Emma, Turnbull, Robyn, Sloan, Tim J., Bosworth, Andrew, Hutchings, Stephanie, Pymont, Hannah M., Casey, Anna, Ratcliffe, Liz, Jones, Christopher R., Knight, Bridget A., Haque, Tanzina, Hart, Jennifer, Irish-Tavares, Dianne, Witele, Eric, Mower, Craig, Watson DipHE, Louisa K., Collins, Jennifer, Eltringham, Gary, Crudgington, Dorian, Macklin, Ben, Iturriza-Gomara, Miren, Lucaci, Anita O., McClure, Patrick C., Carlile, Matthew, Holmes, Nadine, Moore, Christopher, Storey, Nathaniel, Rooke, Stefan, Yebra, Gonzalo, Craine, Noel, Perry, Malorie, Alikhan, Nabil-Fareed, Bridgett, Stephen, Cook, Kate F., Fearn, Christopher, Goudarzi, Salman, Lyons, Ronan A., Williams, Thomas, Haldenby, Sam T., Durham, Jillian, Leonard, Steven, Davies, Robert M., Batra, Rahul, Blane, Beth, Spyer, Moira J., Smith, Perminder, Yavus, Mehmet, Williams, Rachel J., Mahanama, Adhyana IK., Samaraweera, Buddhini, Girgis, Sophia T., Hansford, Samantha E., Green, Angie, Beaver, Charlotte, Bellis, Katherine L., Dorman, Matthew J., Kay, Sally, Prestwood, Liam, Rajatileka, Shavanthi, Quick, Joshua, Poplawski, Radoslaw, Reynolds, Nicola, Mack, Andrew, Morriss, Arthur, Whalley, Thomas, Patel, Bindi, Georgana, Iliana, Hosmillo, Myra, Pinckert, Malte L., Stockton, Joanne, Henderson, John H., Hollis, Amy, Stanley, William, Yew, Wen C., Myers, Richard, Thornton, Alicia, Adams, Alexander, Annett, Tara, Asad, Hibo, Birchley, Alec, Coombes, Jason, Evans, Johnathan M., Fina, Laia, Gatica-Wilcox, Bree, Gilbert, Lauren, Graham, Lee, Hey, Jessica, Hilvers, Ember, Jones, Sophie, Jones, Hannah, Kumziene-Summerhayes, Sara, McKerr, Caoimhe, Powell, Jessica, Pugh, Georgia, Taylor, Sarah, Trotter, Alexander J., Williams, Charlotte A., Kermack, Leanne M., Foulkes, Benjamin H., Gallis, Marta, Hornsby, Hailey R., Louka, Stavroula F., Pohare, Manoj, Wolverson, Paige, Zhang, Peijun, MacIntyre-Cockett, George, Trebes, Amy, Moll, Robin J., Ferguson, Lynne, Goldstein, Emily J., Maclean, Alasdair, Tomb, Rachael, Starinskij, Igor, Thomson, Laura, Southgate, Joel, Kraemer, Moritz UG., Raghwani, Jayna, Zarebski, Alex E., Boyd, Olivia, Geidelberg, Lily, Illingworth, Chris J., Jackson, Chris, Pascall, David, Vattipally, Sreenu, Freeman, Timothy M., Hsu, Sharon N., Lindsey, Benjamin B., James, Keith, Lewis, Kevin, Tonkin-Hill, Gerry, Tovar-Corona, Jaime M., Cox, MacGregor, Abudahab, Khalil, Menegazzo, Mirko, Taylor, Ben EW., Yeats, Corin A., Mukaddas, Afrida, Wright, Derek W., de Oliveira Martins, Leonardo, Colquhoun, Rachel, Hill, Verity, Jackson, Ben, McCrone, J.T., Medd, Nathan, Scher, Emily, Keatley, Jon-Paul, Curran, Tanya, Morgan, Sian, Maxwell, Patrick, Smith, Ken, Eldirdiri, Sahar, Kenyon, Anita, Holmes, Alison H., Price, James R., Wyatt, Tim, Mather, Alison E., Skvortsov, Timofey, Hartley, John A., Guest, Martyn, Kitchen, Christine, Merrick, Ian, Munn, Robert, Bertolusso, Beatrice, Lynch, Jessica, Vernet, Gabrielle, Kirk, Stuart, Wastnedge, Elizabeth, Stanley, Rachael, Idle, Giles, Bradley, Declan T., Killough, Nicholas F., Poyner, Jennifer, Mori, Matilde, Jones, Owen, Wright, Victoria, Brooks, Ellena, Churcher, Carol M., Delgado Callico, Laia, Fragakis, Mireille, Galai, Katerina, Jermy, Andrew, Judges, Sarah, Markov, Anna, McManus, Georgina M., Smith, Kim S., Thomas-McEwen, Peter MD., Westwick, Elaine, Attwood, Stephen W., Bolt, Frances, Davies, Alisha, De Lacy, Elen, Downing, Fatima, Edwards, Sue, Meadows, Lizzie, Jeremiah, Sarah, Smith, Nikki, Foulser, Luke, Patel, Amita, Berry, Louise, Boswell, Tim, Fleming, Vicki M., Howson-Wells, Hannah C., Joseph, Amelia, Khakh, Manjinder, Lister, Michelle M., Bird, Paul W., Fallon, Karlie, Helmer, Thomas, McMurray, Claire L., Odedra, Mina, Shaw, Jessica, Tang, Julian W., Willford, Nicholas J., Blakey, Victoria, Raviprakash, Veena, Sheriff, Nicola, Williams, Lesley-Anne, Feltwell, Theresa, Bedford, Luke, Cargill, James S., Hughes, Warwick, Moore, Jonathan, Stonehouse, Susanne, Atkinson, Laura, Lee, Jack CD., Shah, Divya, Ohemeng-Kumi, Natasha, Ramble, John, Sehmi, Jasveen, Williams, Rebecca, Chatterton, Wendy, Pusok, Monika, Everson, William, Castigador, Anibolina, Macnaughton, Emily, El Bouzidi, Kate, Lampejo, Temi, Sudhanva, Malur, Breen, Cassie, Sluga, Graciela, Ahmad, Shazaad SY., George, Ryan P., Machin, Nicholas W., Binns, Debbie, James, Victoria, Blacow, Rachel, Coupland, Lindsay, Smith, Louise, Barton, Edward, Padgett, Debra, Scott, Garren, Cross, Aidan, Mirfenderesky, Mariyam, Greenaway, Jane, Cole, Kevin, Clarke, Phillip, Duckworth, Nichola, Walsh, Sarah, Bicknell, Kelly, Impey, Robert, Wyllie, Sarah, Hopes, Richard, Bishop, Chloe, Chalker, Vicki, Harrison, Ian, Gifford, Laura, Molnar, Zoltan, Auckland, Cressida, Evans, Cariad, Johnson, Kate, Partridge, David G., Raza, Mohammad, Baker, Paul, Bonner, Stephen, Essex, Sarah, Murray, Leanne J., Lawton, Andrew I., Burton-Fanning, Shirelle, Payne, Brendan AI., Waugh, Sheila, Gomes, Andrea N., Kimuli, Maimuna, Murray, Darren R., Ashfield, Paula, Dobie, Donald, Ashford, Fiona, Best, Angus, Crawford, Liam, Cumley, Nicola, Mayhew, Megan, Megram, Oliver, Mirza, Jeremy, Moles-Garcia, Emma, Percival, Benita, Driscoll, Megan, Ensell, Leah, Lowe, Helen L., Maftei, Laurentiu, Mondani, Matteo, Chaloner, Nicola J., Cogger, Benjamin J., Easton, Lisa J., Huckson, Hannah, Lewis, Jonathan, Lowdon, Sarah, Malone, Cassandra S., Munemo, Florence, Mutingwende, Manasa, Nicodemi, Roberto, Podplomyk FD, Olga, Somassa, Thomas, Beggs, Andrew, Richter, Alex, Cormie, Claire, Dias, Joana, Forrest, Sally, Higginson, Ellen E., Maes, Mailis, Young, Jamie, Davidson, Rose K., Jackson, Kathryn A., Keeley, Alexander J., Ball, Jonathan, Byaruhanga, Timothy, Chappell, Joseph G., Dey, Jayasree, Hill, Jack D., Park, Emily J., Fanaie, Arezou, Hilson, Rachel A., Yaze, Geraldine, Lo, Stephanie, Afifi, Safiah, Beer, Robert, Maksimovic, Joshua, McCluggage, Kathryn, Spellman, Karla, Bresner, Catherine, Fuller, William, Marchbank, Angela, Workma, Trudy, Shelest, Ekaterina, Debebe, Johnny, Sang, Fei, Francois, Sarah, Gutierrez, Bernardo, Vasylyeva, Tetyana I., Flaviani, Flavia, Ragonnet-Cronin, Manon, Smollett, Katherine L., Broos, Alice, Mair, Daniel, Nichols, Jenna, Nomikou, Kyriaki, Tong, Lily, Tsatsani, Ioulia, O'Brien, Sarah, Rushton, Steven, Sanderson, Roy, Perkins, Jon, Cotton, Seb, Gallagher, Abbie, Allara, Elias, Pearson, Clare, Bibby, David, Dabrer, Gavin, Ellaby, Nicholas, Gallagher, Eileen, Hubb, Jonathan, Lackenby, Angie, Lee, David, Manesis, Nikos, Mbisa, Tamyo, Platt, Steven, Twohig, Katherine A., Morgan, Mari, Aydin, Alp, Baker, David J., Foster-Nyarko, Ebenezer, Prosolek, Sophie J., Rudder, Steven, Baxter, Chris, Carvalho, Sílvia F., Lavin, Deborah, Mariappan, Arun, Radulescu, Clara, Singh, Aditi, Tang, Miao, Morcrette, Helen, Bayzid, Nadua, Cotic, Marius, Balcazar, Carlos E., Gallagher, Michael D., Maloney, Daniel, Stanton, Thomas D., Williamson, Kathleen A., Manley, Robin, Michelsen, Michelle L., Sambles, Christine M., Studholme, David J., Warwick-Dugdale, Joanna, Eccles, Richard, Gemmell, Matthew, Gregory, Richard, Hughes, Margaret, Nelson, Charlotte, Rainbow, Lucille, Vamos, Edith E., Webster, Hermione J., Whitehead, Mark, Wierzbicki, Claudia, Angyal, Adrienn, Green, Luke R., Whiteley, Max, Betteridge, Emma, Bronner, Iraad F., Farr, Ben W., Goodwin, Scott, Lensing, Stefanie V., McCarthy, Shane A., Quail, Michael A., Rajan, Diana, Redshaw, Nicholas M., Scott, Carol, Shirley, Lesley, Thurston, Scott AJ., Rowe, Will, Gaskin, Amy, Le-Viet, Thanh, Bonfield, James, Liddle, Jennifier, Whitwham, Andrew, Cotton, S., McHugh, M.P., Dewar, R., Haas, J.G., and Templeton, K.
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- 2023
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19. Intramedullary Fixation for Pediatric Femoral Nonunion in Low- and Middle-Income Countries
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Furdock, Ryan J., Huang, Lauren F., Ochenjele, George, Zirkle, Lewis G., and Liu, Raymond W.
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- 2023
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20. Comprehensive Approach to Core Training in Sports Physical Therapy: Optimizing Performance and Minimizing Injuries
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Lewis G Lupowitz
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Sports medicine ,RC1200-1245 - Abstract
This clinical commentary explores the significance of a comprehensive approach to core training in sports physical therapy, focusing on optimizing performance and minimizing injuries. The core, encompassing multiple regions from the scapula to the glutes and beyond, plays a vital role in athletic performance and injury prevention. The commentary provides a thorough understanding of the various "cores" in the body, highlighting their primary functions and the importance of core stability. The commentary delves into the anatomy of the core, its primary functions, common injuries, and clinical evaluation techniques. It aims to define the role of core stability in athletic activities and discusses the prevalence and characteristics of core injuries in various sports such as baseball, basketball, football, hockey, and soccer. Furthermore, the clinical evaluation section describes subjective and objective assessments, functional testing, and special tests used to identify core injuries and determine their root causes. The author introduces a personalized dynamic core assessment to evaluate multiplanar stabilization and proposes a four-phase intervention program called the "Core Four Pyramid Principles." This program includes activation, stabilization, integration, and perturbation phases, each with specific entry criteria, goals, and targeted exercises. This commentary contributes to the body of literature by providing a comprehensive overview of core training in sports physical therapy, highlighting the significance of a systematic and evidence-based approach, and introducing the "Core Four Pyramid Principles" as a guideline for designing effective core training programs for sports therapists to optimize core function, stability and overall athletic performance while reducing the risk of injuries amongst their athletes.
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- 2023
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21. Allometric scaling of metabolic rate and cardiorespiratory variables in aquatic and terrestrial mammals
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Rebecca S. He, Stacy De Ruiter, Tristan Westover, Jason A. Somarelli, Ashley M. Blawas, Divya L. Dayanidhi, Ana Singh, Benjamin Steves, Samantha Driesinga, Lewis G. Halsey, and Andreas Fahlman
- Subjects
basal metabolic rate ,body mass ,breathing frequency ,heart rate ,stroke volume ,tidal volume ,Physiology ,QP1-981 - Abstract
Abstract While basal metabolic rate (BMR) scales proportionally with body mass (Mb), it remains unclear whether the relationship differs between mammals from aquatic and terrestrial habitats. We hypothesized that differences in BMR allometry would be reflected in similar differences in scaling of O2 delivery pathways through the cardiorespiratory system. We performed a comparative analysis of BMR across 63 mammalian species (20 aquatic, 43 terrestrial) with a Mb range from 10 kg to 5318 kg. Our results revealed elevated BMRs in small (>10 kg and
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- 2023
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22. An arginase 2 promoter transgenic line illuminates immune cell polarisation in zebrafish
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Ffion R. Hammond, Amy Lewis, Zoë C. Speirs, Holly E. Anderson, Tamara Sipka, Lewis G. Williams, Mai Nguyen-Chi, Annemarie H. Meijer, Geert F. Wiegertjes, and Philip M. Elks
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anti-inflammatory ,infection ,inflammation ,macrophage ,neutrophil ,zebrafish ,Medicine ,Pathology ,RB1-214 - Published
- 2023
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23. Understanding Paloue (Leguminosae: Detarioideae) : revision of a predominantly Guiana Shield endemic
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Redden, Karen M., Herendeen, Patrick S, Lewis, G. P., Smithsonian Institution Scholarly Press, Smithsonian Libraries, Redden, Karen M., Herendeen, Patrick S, Lewis, G. P., and Smithsonian Institution Scholarly Press
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Guiana Highlands ,Legumes ,Paloue - Published
- 2018
24. Calibration of fish counts in video surveys: a case study from the Southeast Reef Fish Survey
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Nathan M. Bacheler, Kyle W. Shertzer, Zebulon H. Schobernd, and Lewis G. Coggins
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fishery-independent survey ,calibrate ,reef fish ,catchability ,index of abundance ,camera ,Science ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
Changes to sampling gears or vessels can influence the catchability or detectability of fish, leading to biased trends in abundance. Despite the widespread use of underwater video cameras to index fish abundance and the rapid advances in video technology, few studies have focused on calibrating data from different cameras used in underwater video surveys. We describe a side-by-side calibration study (N = 143 paired videos) undertaken in 2014 to account for a camera change in the Southeast Reef Fish Survey, a regional-scale, multi-species reef fish survey along the southeast United States Atlantic coast. Slope estimates from linear regression for the 16 species included in the analyses ranged from 0.21 to 0.98, with an overall mean of 0.57, suggesting that original cameras (Canon Vixia HF-S200) observed an average of 43% fewer fish than newer cameras (GoPro Hero 3+). Some reef fish species had limited calibration sample sizes, such that borrowing calibration information from related or unrelated species was justified in some cases. We also applied calibrations to 11-year video time series of relative abundance of scamp Mycteroperca phenax and red snapper Lutjanus campechanus (N = 13,072 videos), showing that calibrations were critical to separating changes in camera sightability from true changes in abundance. We recommend calibrating data from video cameras anytime changes occur, and pairing video cameras to the extent possible to control for the spatial and temporal variability inherent in fish populations and environmental conditions. Following these guidelines, researchers will be able to maintain the integrity of valuable long-term video datasets despite intentional or unavoidable changes to video cameras over time.
- Published
- 2023
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- View/download PDF
25. Outcome of tibial shaft fractures treated with the SIGN FIN nail at Addis Ababa Emergency, Burn, and Trauma Hospital (AaEBT) Addis Ababa, Ethiopia
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Cheru Beyene Tesso, MD, Lewis G. Zirkle, MD, Abiy Worku, MD, Getachew Tilahun, MPH, Samuel Kebede, MD, and Tilahun Desta, MD
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Orthopedic surgery ,RD701-811 - Abstract
Abstract. Objectives:. To determine the outcome of tibial fractures treated with the SIGN FIN nail. Study Design:. Retrospective case series study. Study Setting:. Trauma center. Methods and Materials:. We included 14 patients aged 18–51 years with 16 tibial fractures in this study. Patients were followed clinically and radiographically, and the minimum time followed was 6 months. Johner and Wruhs criteria with modification were used to assess the outcome. Result:. There were 11 male (78.6%) and three female (21.4%) patients. The mean age was 32.44 ± 8.98 (range 18–51) years. The right-sided tibia was injured in six as compared with the left side in four, and four patients had bilateral injuries. Eight (50%) fractures were closed fractures, whereas the rest eight (50%) were open types of fractures. Among the latter, half (n = 4; 50%) fractures were Gustilo type II fractures, while three (37.5%) fractures were Gustilo type III fractures, and one (12.5%) patient had a Gustilo type I fracture. All patients had radiologic union. There were no infections or secondary surgery for any reason. Excellent, good, and fair results were achieved in 62.5%, 25%, and 12.5%, respectively. All patients were able to return to their preinjury activity except two patients. Conclusion:. SIGN FIN nail is an option for treating tibial shaft fractures with good outcomes and few complications in selected fractures. Level of evidence:. Level IV
- Published
- 2023
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- View/download PDF
26. Using high-resolution contact networks to evaluate SARS-CoV-2 transmission and control in large-scale multi-day events
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Pung, Rachael, Firth, Josh A., Spurgin, Lewis G., Lee, Vernon J., and Kucharski, Adam J.
- Published
- 2022
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- View/download PDF
27. Can metrics of acceleration provide accurate estimates of energy costs of locomotion on uneven terrain? Using domestic sheep (Ovis aries) as an example
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Mulvenna, Christina C., Marks, Nikki J., Wilson, Rory P., Halsey, Lewis G., and Scantlebury, David M.
- Published
- 2022
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- View/download PDF
28. Antidepressants Trial in Parkinson's Disease (ADepT-PD): protocol for a randomised placebo-controlled trial on the effectiveness of escitalopram and nortriptyline on depressive symptoms in Parkinson’s disease
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Schrag, A, Carroll, C, Duncan, G, Molloy, S, Grover, L, Hunter, R, Brown, R, Freemantle, N, Whipps, J, Serfaty, M. A, and Lewis, G
- Published
- 2022
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- View/download PDF
29. Using high-resolution contact networks to evaluate SARS-CoV-2 transmission and control in large-scale multi-day events
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Rachael Pung, Josh A. Firth, Lewis G. Spurgin, Singapore CruiseSafe working group, CMMID COVID-19 working group, Vernon J. Lee, and Adam J. Kucharski
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Science - Abstract
Here, the authors simulate COVID-19 outbreaks on an empirical contact network derived from digital contact data collected on cruise ships. They model impacts of different control measures and find that combinations of measures, particularly vaccination and rapid antigen testing, are important for mitigating outbreaks.
- Published
- 2022
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30. Can metrics of acceleration provide accurate estimates of energy costs of locomotion on uneven terrain? Using domestic sheep (Ovis aries) as an example
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Christina C. Mulvenna, Nikki J. Marks, Rory P. Wilson, Lewis G. Halsey, and David M. Scantlebury
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Dynamic body acceleration ,Energy expenditure ,Locomotion ,Oxygen consumption ,Slope ,Terrain ,Ecology ,QH540-549.5 ,Animal biochemistry ,QP501-801 - Abstract
Abstract Background Locomotion is often a necessity for animal survival and can account for a large proportion of an individual’s energy budget. Therefore, determining the energy costs of locomotion is an important part of understanding the interaction between an animal and its environment. Measures of animal acceleration, specifically ‘dynamic body acceleration’ (DBA) has proved to be a useful proxy of the energy cost of locomotion. However, few studies have considered the effects of interacting factors such as the animal’s speed or changes to the terrain slope on the putative acceleration versus energy expenditure relationship and how this may affect the relationship between DBA and energy expenditure. Methods Here we conducted a methodological study to evaluate the ability of the metric ‘vectorial dynamic body acceleration’, VeDBA, obtained from tri-axial accelerometer data loggers, to act as a proxy for energy expenditure in non-uniform environments. We used indirect calorimetry to measure the oxygen consumption (V̇O2) of domestic sheep (Ovis aries) that were exposed to different ambient temperatures when immobile (resting) and that walked at various speeds (0.8 to 2.9 km h−1) and slope angles (− 6° to 6°) on a treadmill while simultaneously measuring tri-axial acceleration recorded at 40 Hz by body-mounted tags. Results The lower critical temperature of sheep was identified as 18 °C, and V̇O2 when they were immobile was 3.67 mL O2 kg−1 min−1. There were positive relationships between V̇O2, VeDBA, and speed of walking. However, VeDBA correlated less well with V̇O2 when the terrain slope either inclined or declined. Conclusions We advocate caution when using DBA metrics for establishing energy use in animals moving over uneven terrain and suggest that each study species or location must be examined on a case-by-case basis. Reliance upon the relationship described between acceleration and energy expenditure on horizontal-surface treadmills can lead to potential under- or over-estimates of energy expenditure when animals walk on uneven or inclined ground.
- Published
- 2022
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31. Modelling the impact of host galaxy dust on type Ia supernova distance measurements.
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Popovic, B, Wiseman, P, Sullivan, M, Smith, M, González-Gaitán, S, Scolnic, D, Duarte, J, Armstrong, P, Asorey, J, Brout, D, Carollo, D, Galbany, L, Glazebrook, K, Kelsey, L, Kessler, R, Lidman, C, Lee, J, Lewis, G F, Möller, A, and Nichol, R C
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TYPE I supernovae ,EXPANDING universe ,ORDER statistics ,GALAXY spectra ,DARK energy - Abstract
Type Ia Supernovae (SNe Ia) are a critical tool in measuring the accelerating expansion of the universe. Recent efforts to improve these standard candles have focused on incorporating the effects of dust on distance measurements with SNe Ia. In this paper, we use the state-of-the-art Dark Energy Survey 5 year sample to evaluate two different families of dust models: empirical extinction models derived from SNe Ia data and physical attenuation models from the spectra of galaxies. In this work, we use realistic simulations of SNe Ia to forward-model different models of dust and compare summary statistics in order to test different assumptions and impacts on SNe Ia data. Among the SNe Ia-derived models, we find that a logistic function of the total-to-selective extinction |$R_V$| best recreates the correlations between supernova distance measurements and host galaxy properties, though an additional 0.02 mag of grey scatter is needed to fully explain the scatter in SNIa brightness in all cases. These empirically derived extinction distributions are highly incompatible with the physical attenuation models from galactic spectral measurements. From these results, we conclude that SNe Ia must either preferentially select extreme ends of galactic dust distributions, or that the characterization of dust along the SNe Ia line-of-sight is incompatible with that of galactic dust distributions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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32. Controlling and predicting alkyl-onium electronic structure.
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Tompkins, Frances K. Towers, Parker, Lewis G., Fogarty, Richard M., Seymour, Jake M., Gousseva, Ekaterina, Grinter, David C., Palgrave, Robert G., Smith, Christopher D., Bennett, Roger A., Matthews, Richard P., and Lovelock, Kevin R. J.
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- *
X-ray photoelectron spectroscopy , *AB-initio calculations , *ELECTRONIC structure , *BIOCIDES , *ATOMS - Abstract
X-ray photoelectron spectroscopy (XPS) and ab initio calculations show that fully alkylated onium cation electronic structure can be tuned using both the alkyl chains and the central onium atom. The key for tuning the central onium atom is methyl versus longer alkyl chains, allowing selection of the optimum cation for a wide range of applications, including catalysis and biocides. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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33. The Dark Energy Survey Supernova Program: slow supernovae show cosmological time dilation out to z ~ 1.
- Author
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White, R M T, Davis, T M, Lewis, G F, Brout, D, Galbany, L, Glazebrook, K, Hinton, S R, Lee, J, Lidman, C, Möller, A, Sako, M, Scolnic, D, Smith, M, Sullivan, M, Sánchez, B O, Shah, P, Vincenzi, M, Wiseman, P, Abbott, T M C, and Aguena, M
- Subjects
TYPE I supernovae ,TIME dilation ,LIGHT curves ,DARK energy ,SUPERNOVAE - Abstract
We present a precise measurement of cosmological time dilation using the light curves of 1504 Type Ia supernovae from the Dark Energy Survey spanning a redshift range |$0.1\lesssim z\lesssim 1.2$|. We find that the width of supernova light curves is proportional to |$(1+z)$| , as expected for time dilation due to the expansion of the Universe. Assuming Type Ia supernovae light curves are emitted with a consistent duration |$\Delta t_{\rm em}$| , and parametrizing the observed duration as |$\Delta t_{\rm obs}=\Delta t_{\rm em}(1+z)^b$| , we fit for the form of time dilation using two methods. First, we find that a power of |$b \approx 1$| minimizes the flux scatter in stacked subsamples of light curves across different redshifts. Secondly, we fit each target supernova to a stacked light curve (stacking all supernovae with observed bandpasses matching that of the target light curve) and find |$b=1.003\pm 0.005$| (stat) |$\pm \, 0.010$| (sys). Thanks to the large number of supernovae and large redshift-range of the sample, this analysis gives the most precise measurement of cosmological time dilation to date, ruling out any non-time-dilating cosmological models at very high significance. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
34. Strain-specific differences in the interactions of the cucumber mosaic virus 2b protein with the viral 1a and host Argonaute 1 proteins.
- Author
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Crawshaw, Sam, Watt, Lewis G., Murphy, Alex M., and Carr, John P.
- Subjects
- *
ARGONAUTE proteins , *ARABIDOPSIS proteins , *INSECT host plants , *DOUBLE-stranded RNA , *VIRAL proteins - Abstract
The cucumber mosaic virus (CMV) 2b protein is a potent counter-defense factor and symptom determinant that inhibits antiviral silencing by titrating short double-stranded RNAs. Expression of the CMV subgroup IA strain Fny-CMV 2b protein in transgenic Arabidopsis thaliana plants disrupts microRNA-mediated cleavage of host mRNAs by binding Argonaute 1 (AGO1), leading to symptom-like phenotypes. This also triggers AGO2-mediated antiviral resistance and resistance to CMV’s aphid vectors. However, in authentic viral infections, the Fny-CMV 1a protein modulates 2b-AGO1 interactions, inhibiting induction of AGO2-mediated virus resistance and aphid resistance. Contrastingly, 2b proteins encoded by the subgroup II strain LS-CMV and the recently discovered subgroup IA strain Ho-CMV induce no symptoms. Confocal laser scanning microscopy, bimolecular fluorescence complementation, and co-immunoprecipitation showed that Fny-CMV and Ho-CMV 2b proteins interact with Fny-CMV and LS-CMV 1a proteins, while the CMV-LS 2b protein cannot. However, Fny-CMV, Ho-CMV, and LS-CMV 2b proteins, all interacted with AGO1, but while AGO1-Fny2b complexes occurred in the nucleus and cytoplasm, corresponding AGO1-2b complexes for LS-CMV and Ho-CMV accumulated almost exclusively in nuclei. AGO2 transcript accumulation was used to assess the inhibition of AGO1-mediated mRNA degradation. Fny-CMV 2b induced a fivefold increase in AGO2 accumulation, but LS-CMV and Ho-CMV 2b proteins induced only twofold increases. Thus, these 2b proteins bind AGO1 but are less effective at inhibiting AGO1 activity. We conclude that the intracellular localization of 2b-AGO1 complexes influences the degree to which a 2b protein inhibits microRNA-mediated host mRNA degradation and that cytoplasmic AGO1 has the strongest influence on miRNA-mediated cellular mRNA turnover. IMPORTANCE The cucumber mosaic virus (CMV) 2b protein was among the first discovered viral suppressors of RNA silencing. It has additional pro-viral functions through effects on plant defensive signaling pathways mediated by salicylic acid and jasmonic acid, the abscisic acid pathway and virus-induced drought resistance, and on host plant interactions with insect vectors. Many of these effects occur due to interaction with the important host RNA silencing component Argonaute 1 (AGO1). It was thought that only 2b proteins of “severe” CMV strains interacted with AGO1 and inhibited its microRNA-mediated “slicing” of cellular mRNAs and that the lack of interaction with AGO1 explained the moderate symptoms typically seen in plants infected with mild CMV strains. Our work overthrows this paradigm by showing that mild strain CMV 2b proteins can interact with AGO1, but their in vivo localization prevents them from interacting with AGO1 molecules present in the infected cell cytoplasm. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
35. Outcome of tibial shaft fractures treated with the SIGN FIN nail at Addis Ababa Emergency, Burn, and Trauma Hospital (AaEBT) Addis Ababa, Ethiopia
- Author
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Tesso, Cheru Beyene, Zirkle, Lewis G., Worku, Abiy, Tilahun, Getachew, Kebede, Samuel, and Desta, Tilahun
- Published
- 2023
- Full Text
- View/download PDF
36. Temporal dynamics of competitive fertilization in social groups of red junglefowl ( Gallus gallus ) shed new light on avian sperm competition
- Author
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Carleial, Rômulo, McDonald, Grant C., Spurgin, Lewis G., Fairfield, Eleanor A., Wang, Yunke, Richardson, David S., and Pizzari, Tommaso
- Published
- 2020
37. The impact of viral mutations on recognition by SARS-CoV-2 specific T cells
- Author
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Aanensen, David M., Abudahab, Khalil, Adams, Helen, Adams, Alexander, Afifi, Safiah, Aggarwal, Dinesh, Ahmad, Shazaad S.Y., Aigrain, Louise, Alcolea-Medina, Adela, Alikhan, Nabil-Fareed, Allara, Elias, Amato, Roberto, Annett, Tara, Aplin, Stephen, Ariani, Cristina V., Asad, Hibo, Ash, Amy, Ashfield, Paula, Ashford, Fiona, Atkinson, Laura, Attwood, Stephen W., Auckland, Cressida, Aydin, Alp, Baker, David J., Baker, Paul, Balcazar, Carlos E., Ball, Jonathan, Barrett, Jeffrey C., Barrow, Magdalena, Barton, Edward, Bashton, Matthew, Bassett, Andrew R., Batra, Rahul, Baxter, Chris, Bayzid, Nadua, Beaver, Charlotte, Beckett, Angela H., Beckwith, Shaun M., Bedford, Luke, Beer, Robert, Beggs, Andrew, Bellis, Katherine L., Berry, Louise, Bertolusso, Beatrice, Best, Angus, Betteridge, Emma, Bibby, David, Bicknell, Kelly, Binns, Debbie, Birchley, Alec, Bird, Paul W., Bishop, Chloe, Blacow, Rachel, Blakey, Victoria, Blane, Beth, Bolt, Frances, Bonfield, James, Bonner, Stephen, Bonsall, David, Boswell, Tim, Bosworth, Andrew, Bourgeois, Yann, Boyd, Olivia, Bradley, Declan T., Breen, Cassie, Bresner, Catherine, Breuer, Judith, Bridgett, Stephen, Bronner, Iraad F., Brooks, Ellena, Broos, Alice, Brown, Julianne R., Bucca, Giselda, Buchan, Sarah L., Buck, David, Bull, Matthew, Burns, Phillipa J., Burton-Fanning, Shirelle, Byaruhanga, Timothy, Byott, Matthew, Campbell, Sharon, Carabelli, Alessandro M., Cargill, James S., Carlile, Matthew, Carvalho, Silvia F., Casey, Anna, Castigador, Anibolina, Catalan, Jana, Chalker, Vicki, Chaloner, Nicola J., Chand, Meera, Chappell, Joseph G., Charalampous, Themoula, Chatterton, Wendy, Chaudhry, Yasmin, Churcher, Carol M., Clark, Gemma, Clarke, Phillip, Cogger, Benjamin J., Cole, Kevin, Collins, Jennifer, Colquhoun, Rachel, Connor, Thomas R., Cook, Kate F., Coombes, Jason, Corden, Sally, Cormie, Claire, Cortes, Nicholas, Cotic, Marius, Cotton, Seb, Cottrell, Simon, Coupland, Lindsay, Cox, MacGregor, Cox, Alison, Craine, Noel, Crawford, Liam, Cross, Aidan, Crown, Matthew R., Crudgington, Dorian, Cumley, Nicola, Curran, Tanya, Curran, Martin D., da Silva Filipe, Ana, Dabrera, Gavin, Darby, Alistair C., Davidson, Rose K., Davies, Alisha, Davies, Robert M., Davis, Thomas, de Angelis, Daniela, De Lacy, Elen, de Oliveira Martins, Leonardo, Debebe, Johnny, Denton-Smith, Rebecca, Dervisevic, Samir, Dewar, Rebecca, Dey, Jayasree, Dias, Joana, Dobie, Donald, Dorman, Matthew J., Downing, Fatima, Driscoll, Megan, du Plessis, Louis, Duckworth, Nichola, Durham, Jillian, Eastick, Kirstine, Easton, Lisa J., Eccles, Richard, Edgeworth, Jonathan, Edwards, Sue, El Bouzidi, Kate, Eldirdiri, Sahar, Ellaby, Nicholas, Elliott, Scott, Eltringham, Gary, Ensell, Leah, Erkiert, Michelle J., Zamudio, Marina Escalera, Essex, Sarah, Evans, Johnathan M., Evans, Cariad, Everson, William, Fairley, Derek J., Fallon, Karlie, Fanaie, Arezou, Farr, Ben W., Fearn, Christopher, Feltwell, Theresa, Ferguson, Lynne, Fina, Laia, Flaviani, Flavia, Fleming, Vicki M., Forrest, Sally, Foster-Nyarko, Ebenezer, Foulkes, Benjamin H., Foulser, Luke, Fragakis, Mireille, Frampton, Dan, Francois, Sarah, Fraser, Christophe, Freeman, Timothy M., Fryer, Helen, Fuchs, Marc, Fuller, William, Gajee, Kavitha, Galai, Katerina, Gallagher, Abbie, Gallagher, Eileen, Gallagher, Michael D., Gallis, Marta, Gaskin, Amy, Gatica-Wilcox, Bree, Geidelberg, Lily, Gemmell, Matthew, Georgana, Iliana, George, Ryan P., Gifford, Laura, Gilbert, Lauren, Girgis, Sophia T., Glaysher, Sharon, Goldstein, Emily J., Golubchik, Tanya, Gomes, Andrea N., Gonçalves, Sónia, Goodfellow, Ian G., Goodwin, Scott, Goudarzi, Salman, Gourtovaia, Marina, Graham, Clive, Graham, Lee, Grant, Paul R., Green, Luke R., Green, Angie, Greenaway, Jane, Gregory, Richard, Guest, Martyn, Gunson, Rory N., Gupta, Ravi K., Gutierrez, Bernardo, Haldenby, Sam T., Hamilton, William L., Hansford, Samantha E., Haque, Tanzina, Harris, Kathryn A., Harrison, Ian, Harrison, Ewan M., Hart, Jennifer, Hartley, John A., Harvey, William T., Harvey, Matthew, Hassan-Ibrahim, Mohammed O., Heaney, Judith, Helmer, Thomas, Henderson, John H., Hesketh, Andrew R., Hey, Jessica, Heyburn, David, Higginson, Ellen E., Hill, Verity, Hill, Jack D., Hilson, Rachel A., Hilvers, Ember, Holden, Matthew T.G., Hollis, Amy, Holmes, Christopher W., Holmes, Nadine, Holmes, Alison H., Hopes, Richard, Hornsby, Hailey R., Hosmillo, Myra, Houlihan, Catherine, Howson-Wells, Hannah C., Hubb, Jonathan, Huckson, Hannah, Hughes, Warwick, Hughes, Joseph, Hughes, Margaret, Hutchings, Stephanie, Idle, Giles, Illingworth, Chris J., Impey, Robert, Irish-Tavares, Dianne, Iturriza-Gomara, Miren, Izuagbe, Rhys, Jackson, Chris, Jackson, Ben, Jackson, Leigh M., Jackson, Kathryn A., Jackson, David K., Jahun, Aminu S., James, Victoria, James, Keith, Jeanes, Christopher, Jeffries, Aaron R., Jeremiah, Sarah, Jermy, Andrew, John, Michaela, Johnson, Rob, Johnson, Kate, Johnston, Ian, Jones, Owen, Jones, Sophie, Jones, Hannah, Jones, Christopher R., Jones, Neil, Joseph, Amelia, Judges, Sarah, Kay, Gemma L., Kay, Sally, Keatley, Jon-Paul, Keeley, Alexander J., Kenyon, Anita, Kermack, Leanne M., Khakh, Manjinder, Kidd, Stephen P., Kimuli, Maimuna, Kirk, Stuart, Kitchen, Christine, Kitchman, Katie, Knight, Bridget A., Koshy, Cherian, Kraemer, Moritz U.G., Kumziene-Summerhayes, Sara, Kwiatkowski, Dominic, Lackenby, Angie, Laing, Kenneth G., Lampejo, Temi, Langford, Cordelia F., Lavin, Deborah, Lawton, Andrew I., Lee, Jack, Lee, David, Lensing, Stefanie V., Leonard, Steven, Levett, Lisa J., Le-Viet, Thanh, Lewis, Jonathan, Lewis, Kevin, Liddle, Jennifier, Liggett, Steven, Lillie, Patrick J., Lister, Michelle M., Livett, Rich, Lo, Stephanie, Loman, Nicholas J., Loose, Matthew W., Louka, Stavroula F., Loveson, Katie F., Lowdon, Sarah, Lowe, Hannah, Lowe, Helen L., Lucaci, Anita O., Ludden, Catherine, Lynch, Jessica, Lyons, Ronan A., Lythgoe, Katrina, Machin, Nicholas W., MacIntyre-Cockett, George, Mack, Andrew, Macklin, Ben, Maclean, Alasdair, Macnaughton, Emily, Madona, Pinglawathee, Maes, Mailis, Maftei, Laurentiu, Mahanama, Adhyana I.K., Mahungu, Tabitha W., Mair, Daniel, Maksimovic, Joshua, Malone, Cassandra S., Maloney, Daniel, Manesis, Nikos, Manley, Robin, Mantzouratou, Anna, Marchbank, Angela, Mariappan, Arun, Martincorena, Inigo, Martinez Nunez, Rocio T., Mather, Alison E., Maxwell, Patrick, Mayhew, Megan, Mbisa, Tamyo, McCann, Clare M., McCarthy, Shane A., McCluggage, Kathryn, McClure, Patrick C., McCrone, J.T., McHugh, Martin P., McKenna, James P., McKerr, Caoimhe, McManus, Georgina M., McMurray, Claire L., McMurray, Claire, McNally, Alan, Meadows, Lizzie, Medd, Nathan, Megram, Oliver, Menegazzo, Mirko, Merrick, Ian, Michell, Stephen L., Michelsen, Michelle L., Mirfenderesky, Mariyam, Mirza, Jeremy, Miskelly, Julia, Moles-Garcia, Emma, Moll, Robin J., Molnar, Zoltan, Monahan, Irene M., Mondani, Matteo, Mookerjee, Siddharth, Moore, Christopher, Moore, Jonathan, Moore, Nathan, Moore, Catherine, Morcrette, Helen, Morgan, Sian, Morgan, Mari, Mori, Matilde, Morriss, Arthur, Moses, Samuel, Mower, Craig, Muir, Peter, Mukaddas, Afrida, Munemo, Florence, Munn, Robert, Murray, Abigail, Murray, Leanne J., Murray, Darren R., Mutingwende, Manasa, Myers, Richard, Nastouli, Eleni, Nebbia, Gaia, Nelson, Andrew, Nelson, Charlotte, Nicholls, Sam, Nichols, Jenna, Nicodemi, Roberto, Nomikou, Kyriaki, O’Grady, Justin, O'Brien, Sarah, Odedra, Mina, Ohemeng-Kumi, Natasha, Oliver, Karen, Orton, Richard J., Osman, Husam, xeine O'Toole, Pacchiarini, Nicole, Padgett, Debra, Page, Andrew J., Park, Emily J., Park, Naomi R., Parmar, Surendra, Partridge, David G., Pascall, David, Patel, Amita, Patel, Bindi, Paterson, Steve, Payne, Brendan A.I., Peacock, Sharon J., Pearson, Clare, Pelosi, Emanuela, Percival, Benita, Perkins, Jon, Perry, Malorie, Pinckert, Malte L., Platt, Steven, Podplomyk, Olga, Pohare, Manoj, Pond, Marcus, Pope, Cassie F., Poplawski, Radoslaw, Powell, Jessica, Poyner, Jennifer, Prestwood, Liam, Price, Anna, Price, James R., Prieto, Jacqui A., Pritchard, David T., Prosolek, Sophie J., Pugh, Georgia, Pusok, Monika, Pybus, Oliver G., Pymont, Hannah M., Quail, Michael A., Quick, Joshua, Radulescu, Clara, Raghwani, Jayna, Ragonnet-Cronin, Manon, Rainbow, Lucille, Rajan, Diana, Rajatileka, Shavanthi, Ramadan, Newara A., Rambaut, Andrew, Ramble, John, Randell, Paul A., Randell, Paul, Ratcliffe, Liz, Raviprakash, Veena, Raza, Mohammad, Redshaw, Nicholas M., Rey, Sara, Reynolds, Nicola, Richter, Alex, Robertson, David L., Robinson, Esther, Robson, Samuel C., Rogan, Fiona, Rooke, Stefan, Rowe, Will, Roy, Sunando, Rudder, Steven, Ruis, Chris, Rushton, Steven, Ryan, Felicity, Saeed, Kordo, Samaraweera, Buddhini, Sambles, Christine M., Sanderson, Roy, Sanderson, Theo, Sang, Fei, Sass, Thea, Scher, Emily, Scott, Garren, Scott, Carol, Sehmi, Jasveen, Shaaban, Sharif, Shah, Divya, Shaw, Jessica, Shelest, Ekaterina, Shepherd, James G., Sheridan, Liz A., Sheriff, Nicola, Shirley, Lesley, Sillitoe, John, Silviera, Siona, Simpson, David A., Singh, Aditi, Singleton, Dawn, Skvortsov, Timofey, Sloan, Tim J., Sluga, Graciela, Smith, Ken, Smith, Kim S., Smith, Perminder, Smith, Darren L., Smith, Louise, Smith, Colin P., Smith, Nikki, Smollett, Katherine L., Snell, Luke B., Somassa, Thomas, Southgate, Joel, Spellman, Karla, Spencer Chapman, Michael H., Spurgin, Lewis G., Spyer, Moira J., Stanley, Rachael, Stanley, William, Stanton, Thomas D., Starinskij, Igor, Stockton, Joanne, Stonehouse, Susanne, Storey, Nathaniel, Studholme, David J., Sudhanva, Malur, Swindells, Emma, Taha, Yusri, Tan, Ngee Keong, Tang, Julian W., Tang, Miao, Taylor, Ben E.W., Taylor, Joshua F., Taylor, Sarah, Temperton, Ben, Templeton, Kate E., Thomas, Claire, Thomson, Laura, Thomson, Emma C., Thornton, Alicia, Thurston, Scott A.J., Todd, John A., Tomb, Rachael, Tong, Lily, Tonkin-Hill, Gerry, Torok, M. Estee, Tovar-Corona, Jaime M., Trebes, Amy, Trotter, Alexander J., Tsatsani, Ioulia, Turnbull, Robyn, Twohig, Katherine A., Umpleby, Helen, Underwood, Anthony P., Vamos, Edith E., Vasylyeva, Tetyana I., Vattipally, Sreenu, Vernet, Gabrielle, Vipond, Barry B., Volz, Erik M., Walsh, Sarah, Wang, Dennis, Warne, Ben, Warwick-Dugdale, Joanna, Wastnedge, Elizabeth, Watkins, Joanne, Watson, Louisa K., Waugh, Sheila, Webster, Hermione J., Weldon, Danni, Westwick, Elaine, Whalley, Thomas, Wheeler, Helen, Whitehead, Mark, Whiteley, Max, Whitwham, Andrew, Wierzbicki, Claudia, Willford, Nicholas J., Williams, Lesley-Anne, Williams, Rebecca, Williams, Cheryl, Williams, Chris, Williams, Charlotte A., Williams, Rachel J., Williams, Thomas, Williams, Catryn, Williamson, Kathleen A., Wilson-Davies, Eleri, Witele, Eric, Withell, Karen T., Witney, Adam A., Wolverson, Paige, Wong, Nick, Workman, Trudy, Wright, Victoria, Wright, Derek W., Wyatt, Tim, Wyllie, Sarah, Xu-McCrae, Li, Yavus, Mehmet, Yaze, Geraldine, Yeats, Corin A., Yebra, Gonzalo, Yew, Wen C., Young, Gregory R., Young, Jamie, Zarebski, Alex E., Zhang, Peijun, Baillie, J. Kenneth, Semple, Malcolm G., Openshaw, Peter J.M., Carson, Gail, Alex, Beatrice, Andrikopoulos, Petros, Bach, Benjamin, Barclay, Wendy S., Bogaert, Debby, Chechi, Kanta, Cooke, Graham S., Docherty, Annemarie B., Correia, Gonçalo dos Santos, Dumas, Marc-Emmanuel, Dunning, Jake, Fletcher, Tom, Green, Christopher A., Greenhalf, William, Griffin, Julian L., Gupta, Rishi K., Harrison, Ewen M., Hiscox, Julian A., Wai Ho, Antonia Ying, Horby, Peter W., Ijaz, Samreen, Khoo, Saye, Klenerman, Paul, Law, Andrew, Lewis, Matthew R., Liggi, Sonia, Lim, Wei Shen, Maslen, Lynn, Mentzer, Alexander J., Merson, Laura, Meynert, Alison M., Noursadeghi, Mahdad, Olanipekun, Michael, Osagie, Anthonia, Palmarini, Massimo, Palmieri, Carlo, Paxton, William A., Pollakis, Georgios, Price, Nicholas, Russell, Clark D., Sancho-Shimizu, Vanessa, Sands, Caroline J., Scott, Janet T., Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Summers, Charlotte, Swann, Olivia V., Takats, Zoltan, Takis, Panteleimon, Tedder, Richard S., Thompson, A.A. Roger, Thwaites, Ryan S., Zambon, Maria, Hardwick, Hayley, Donohue, Chloe, Griffiths, Fiona, Oosthuyzen, Wilna, Donegan, Cara, Spencer, Rebecca G., Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Plotkin, Daniel, Lee, James, Leeming, Gary, Wham, Murray, Clohisey, Sara, Hendry, Ross, Scott-Brown, James, Shaw, Victoria, McDonald, Sarah E., Keating, Seán, Ahmed, Katie A., Armstrong, Jane A., Ashworth, Milton, Asiimwe, Innocent G., Bakshi, Siddharth, Barlow, Samantha L., Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin W.A., Clark, Jordan J., Clarke, Emily A., Cole, Sarah, Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chris, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis W.S., Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L., Jones, Christopher B., Jones, Trevor R., Khandaker, Shadia, King, Katharine, Kiy, Robyn T., Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A., Mancini, Maria, McDonald, Sarah, McEvoy, Laurence, McLauchlan, John, Metelmann, Soeren, Miah, Nahida S., Middleton, Joanna, Mitchell, Joyce, Moore, Shona C., Murphy, Ellen G., Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E., Shears, Rebecca K., Small, Benjamin, Subramaniam, Krishanthi S., Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Carracedo, Alejandra Doce, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, McCafferty, Sarah, Morrice, Kirstie, MacLean, Alan, Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L., Alegria, Ana, Allen, Sam, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nicholas, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Berry, Colin, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chris, Donnison, Phil, Douthwaite, Sam, Drummond, Andrew, DuRand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Eziefula, Chi, Fegan, Chrisopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B., Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tamas, Lillie, Patrick, Limb, James, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, MacMahon, Michael, MacNaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, McCullough, Katherine, McEwen, Ruth, Meda, Manjula, Mills, Gary, Minton, Jane, Mohandas, Kavya, Mok, Quen, Moon, James, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapas, Nelson, Mark, Norris, Lillian, O'Shea, Matthew K., Otahal, Igor, Ostermann, Marlies, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Pooni, Jagtur Singh, Planche, Tim, Post, Frank, Price, David, Prout, Rachel, Rae, Nikolas, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ruge, Bobby, Ryan, Brendan, Saluja, Taranprit, Schmid, Matthias L., Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tamas, Tatham, Kate, Thomas, Jo, Thompson, Chris, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Vallotton, Nick, Vancheeswaran, Rama, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wootton, Daniel G., Workman, Andrew, Yates, Bryan, Young, Peter, de Silva, Thushan I., Liu, Guihai, Lindsey, Benjamin B., Dong, Danning, Hsu, Nienyun Sharon, Shah, Dhruv, Wellington, Dannielle, Angyal, Adrienn, Brown, Rebecca, Parker, Matthew D., Ying, Zixi, Yao, Xuan, Turtle, Lance, Dunachie, Susanna, Maini, Mala K., Ogg, Graham, Knight, Julian C., Peng, Yanchun, Rowland-Jones, Sarah L., and Dong, Tao
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- 2021
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38. New combinations in Guilandina (Leguminosae: Caesalpinioideae)
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Lewis, G. P.
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- 2020
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39. Tribolium beetles as a model system in evolution and ecology
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Pointer, Michael D., Gage, Matthew J. G., and Spurgin, Lewis G.
- Published
- 2021
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40. The Influence of Retrograde Femoral Nail Removal With and Without Interpositional Fat Grafting on Distal Femoral Physeal Behavior: A Sheep Study
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Ren, Bryan O., Amakoutou, Kouami, Knapik, Derrick M., Benedick, Alex, Anderson, James M., Zirkle, Lewis G., and Liu, Raymond W.
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- 2022
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41. Fish heating tolerance scales similarly across individual physiology and populations
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Nicholas L. Payne, Simon A. Morley, Lewis G. Halsey, James A. Smith, Rick Stuart-Smith, Conor Waldock, and Amanda E. Bates
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Biology (General) ,QH301-705.5 - Abstract
Nicholas Payne et al. use physiological and population-level abundance data from 823 fish species to examine how heating tolerance scales at both the individual and population level. This study shows that heating tolerance declines in the lab and the wild at the same rate, and for a given temperature, individuals and populations from tropical areas have broader heating tolerances than temperate species.
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- 2021
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42. Effect of Tether Length on endo/exo Stereoselectivity in Alkene–Arene meta‐Photocycloaddition Reactions towards the Aphidocolin/Stemodin Scaffolds.
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Alshammari, Aljazy A. A., Boyd, Joseph W., Greaves, Nicola, Kettle, Jason G., McKendrick, John E., Parker, Lewis G., Russell, Andrew T., Sani, Abubakar, and Smith, Christopher D.
- Subjects
PHARMACEUTICAL chemistry ,NATURAL products ,ALKENES ,PHOTOCHEMISTRY ,STEREOSELECTIVE reactions - Abstract
Intramolecular alkene‐arene meta‐photocycloadditions are powerful transformations that use the enhanced reactivity of photoexcited benzene rings to facilitate addition of an alkene 1,3 across donor groups and form complex three‐dimensional fused‐ring systems from readily accessible starting materials. Intramolecular examples have traditionally been restricted to three‐membered tethers, with cycloaddition resulting from exo‐conformation. However, by judicious tether design we have demonstrated that a four‐membered tether can also proceed in good yield; interestingly, via an endo exciplex (1.2 : 1) enabling access to both natural product skeletons and interesting scaffolds for medicinal chemistry research. [ABSTRACT FROM AUTHOR]
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- 2024
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43. Life history correlations and trade-offs resulting from selection for dispersal in Tribolium castaneum.
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Pointer, Michael D, Spurgin, Lewis G, McMullan, Mark, Butler, Simon, and Richardson, David S
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- *
LIFE history theory , *RED flour beetle , *TRIBOLIUM , *BIOLOGICAL fitness , *PEST control , *REPRODUCTION - Abstract
Dispersal is an important facet of the life history of many organisms and is, therefore, subject to selective pressure but does not evolve in isolation. Across nature, there are examples of dispersal syndromes and life history strategies in which suites of traits coevolve and covary with dispersal in combinations that serve to maximize fitness in a given ecological context. The red rust flour beetle, Tribolium castaneum, is a model organism and globally significant post-harvest pest that relies on dispersal to reach new patches of ephemeral habitat. Dispersal behaviour in Tribolium has a strong genetic basis. However, a robust understanding of the relationship between dispersal and other life-history components, which could elucidate evolutionary processes and allow pest managers to control their spread and reduce the impact of infestation, is currently lacking. Here, we use highly replicated lines of T. castaneum previously artificially selected for divergent small-scale dispersal propensity to robustly test several important life history components: reproductive strategy, development time, and longevity. As predicted, we find that a suite of important changes as a result of our selection on dispersal: high dispersal propensity is associated with a lower number of longer mating attempts by males, lower investment in early life reproduction by females, slower development of later-laid offspring, and longer female life span. These findings indicate that correlated intraspecific variation in dispersal and related traits may represent alternative life history strategies in T. castaneum. We therefore suggest that pest management efforts to mitigate the species' agro-economic impact should consider the eco-evolutionary dynamics within multiple life histories. The benefits of doing so could be felt both through improved targeting of efforts to reduce spread and also in forecasting how the selection pressures applied through pest management are likely to affect pest evolution. Graphical Abstract [ABSTRACT FROM AUTHOR]
- Published
- 2024
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44. The great tit HapMap project: A continental‐scale analysis of genomic variation in a songbird.
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Spurgin, Lewis G., Bosse, Mirte, Adriaensen, Frank, Albayrak, Tamer, Barboutis, Christos, Belda, Eduardo, Bushuev, Andrey, Cecere, Jacopo G., Charmantier, Anne, Cichon, Mariusz, Dingemanse, Niels J., Doligez, Blandine, Eeva, Tapio, Erikstad, Kjell Einar, Fedorov, Vyacheslav, Griggio, Matteo, Heylen, Dieter, Hille, Sabine, Hinde, Camilla A., and Ivankina, Elena
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- *
GREAT tit , *GENOMICS , *SUBSPECIES , *GENETIC drift , *GEODESY , *SONGBIRDS - Abstract
A major aim of evolutionary biology is to understand why patterns of genomic diversity vary within taxa and space. Large‐scale genomic studies of widespread species are useful for studying how environment and demography shape patterns of genomic divergence. Here, we describe one of the most geographically comprehensive surveys of genomic variation in a wild vertebrate to date; the great tit (Parus major) HapMap project. We screened ca 500,000 SNP markers across 647 individuals from 29 populations, spanning ~30 degrees of latitude and 40 degrees of longitude – almost the entire geographical range of the European subspecies. Genome‐wide variation was consistent with a recent colonisation across Europe from a South‐East European refugium, with bottlenecks and reduced genetic diversity in island populations. Differentiation across the genome was highly heterogeneous, with clear 'islands of differentiation', even among populations with very low levels of genome‐wide differentiation. Low local recombination rates were a strong predictor of high local genomic differentiation (FST), especially in island and peripheral mainland populations, suggesting that the interplay between genetic drift and recombination causes highly heterogeneous differentiation landscapes. We also detected genomic outlier regions that were confined to one or more peripheral great tit populations, probably as a result of recent directional selection at the species' range edges. Haplotype‐based measures of selection were related to recombination rate, albeit less strongly, and highlighted population‐specific sweeps that likely resulted from positive selection. Our study highlights how comprehensive screens of genomic variation in wild organisms can provide unique insights into spatio‐temporal evolutionary dynamics. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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45. Genomic landscapes of divergence among island bird populations: Evidence of parallel adaptation but at different loci?
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Martin, Claudia A., Sheppard, Eleanor C., Ali, Hisham A. A., Illera, Juan Carlos, Suh, Alexander, Spurgin, Lewis G., and Richardson, David S.
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BIRD populations ,LOCUS (Genetics) ,GENETIC drift ,BONE growth ,GENETIC variation ,GENE flow ,ISLANDS ,NUCLEOTIDE sequencing - Abstract
When populations colonise new environments, they may be exposed to novel selection pressures but also suffer from extensive genetic drift due to founder effects, small population sizes and limited interpopulation gene flow. Genomic approaches enable us to study how these factors drive divergence, and disentangle neutral effects from differentiation at specific loci due to selection. Here, we investigate patterns of genetic diversity and divergence using whole‐genome resequencing (>22× coverage) in Berthelot's pipit (Anthus berthelotii), a passerine endemic to the islands of three north Atlantic archipelagos. Strong environmental gradients, including in pathogen pressure, across populations in the species range, make it an excellent system in which to explore traits important in adaptation and/or incipient speciation. First, we quantify how genomic divergence accumulates across the speciation continuum, that is, among Berthelot's pipit populations, between sub species across archipelagos, and between Berthelot's pipit and its mainland ancestor, the tawny pipit (Anthus campestris). Across these colonisation timeframes (2.1 million–ca. 8000 years ago), we identify highly differentiated loci within genomic islands of divergence and conclude that the observed distributions align with expectations for non‐neutral divergence. Characteristic signatures of selection are identified in loci associated with craniofacial/bone and eye development, metabolism and immune response between population comparisons. Interestingly, we find limited evidence for repeated divergence of the same loci across the colonisation range but do identify different loci putatively associated with the same biological traits in different populations, likely due to parallel adaptation. Incipient speciation across these island populations, in which founder effects and selective pressures are strong, may therefore be repeatedly associated with morphology, metabolism and immune defence. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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46. OzDES Reverberation Mapping Program: Stacking analysis with Hβ, Mg ii, and C iv.
- Author
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Malik, U, Sharp, R, Penton, A, Yu, Z, Martini, P, Tucker, B E, Davis, T M, Lewis, G F, Lidman, C, Aguena, M, Alves, O, Annis, J, Asorey, J, Bacon, D, Brooks, D, Carnero Rosell, A, Carretero, J, Cheng, T -Y, da Costa, L N, and Pereira, M E S
- Subjects
CARTOGRAPHY software ,ECHO ,BLACK holes ,DARK energy ,SUPERMASSIVE black holes ,ACTIVE galaxies - Abstract
Reverberation mapping is the leading technique used to measure direct black hole masses outside of the local Universe. Additionally, reverberation measurements calibrate secondary mass-scaling relations used to estimate single-epoch virial black hole masses. The Australian Dark Energy Survey (OzDES) conducted one of the first multi-object reverberation mapping surveys, monitoring 735 AGN up to z ∼ 4, over 6 years. The limited temporal coverage of the OzDES data has hindered recovery of individual measurements for some classes of sources, particularly those with shorter reverberation lags or lags that fall within campaign season gaps. To alleviate this limitation, we perform a stacking analysis of the cross-correlation functions of sources with similar intrinsic properties to recover average composite reverberation lags. This analysis leads to the recovery of average lags in each redshift-luminosity bin across our sample. We present the average lags recovered for the Hβ, Mg ii , and C iv samples, as well as multiline measurements for redshift bins where two lines are accessible. The stacking analysis is consistent with the Radius–Luminosity relations for each line. Our results for the Hβ sample demonstrate that stacking has the potential to improve upon constraints on the R – L relation, which have been derived only from individual source measurements until now. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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47. A comprehensive evaluation of the long-term clinical and economic impact of minor bile duct injury
- Author
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Halle-Smith, James M., Hodson, James, Stevens, Lewis G., Dasari, Bobby, Marudanayagam, Ravi, Perera, Thamara, Sutcliffe, Robert P., Muiesan, Paolo, Isaac, John, Mirza, Darius F., and Roberts, Keith J.
- Published
- 2020
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48. Modelling and manipulation of aphid-mediated spread of non-persistently transmitted viruses
- Author
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Carr, John P., Tungadi, Trisna, Donnelly, Ruairí, Bravo-Cazar, Ana, Rhee, Sun-Ju, Watt, Lewis G., Mutuku, J. Musembi, Wamonje, Francis O., Murphy, Alex M., Arinaitwe, Warren, Pate, Adrienne E., Cunniffe, Nik J., and Gilligan, Christopher A.
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- 2020
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49. Differential female sociality is linked with the fine-scale structure of sexual interactions in replicate groups of red junglefowl, Gallus gallus
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McDonald, Grant C., Spurgin, Lewis G., Fairfield, Eleanor A., Richardson, David S., and Pizzari, Tommaso
- Published
- 2019
50. Polyandry provides reproductive and genetic benefits in colonising populations
- Author
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Rebecca C. Lewis, Michael D. Pointer, Lucy A. Friend, Ramakrishnan Vasudeva, James Bemrose, Andreas Sutter, Matthew J. G. Gage, and Lewis G. Spurgin
- Subjects
extinction ,inbreeding depression ,population dynamics ,sexual selection ,Tribolium ,Ecology ,QH540-549.5 - Abstract
Abstract Polyandry, when females mate with more than one male, is theorised to play an important role in successful colonisation of new habitats. In addition to possible benefits from sexual selection, even mild polyandry could facilitate colonisation by protecting against inbreeding and reducing the costs of mating with incompatible or infertile males. Here, we measure the importance of mild polyandry for population viability and reproductive fitness following experimental founder events into a higher‐temperature regime. Using colonisation experiments with the model beetle Tribolium castaneum, in which females can produce offspring for up to 140 days following a single mating, we founded more than 100 replicate populations using single females that had been given the opportunity to mate with either one or two males and then tracked their subsequent population dynamics. Following population viability and fitness across 10 generations, we found that extinction rates were significantly lower in populations founded by females given polyandrous opportunities to mate with two males (9%) compared to populations founded by monogamous females (34%). In addition, populations founded by females that had been provided with opportunities to store sperm from two different males showed double the median productivity following colonisation compared to monogamous‐founded populations. Notably, we identified short‐term and longer‐term benefits to post‐colonisation populations from double‐mating, with results suggesting that polyandry acts to both protect against mating with incompatible males through the founder event, and reduce inbreeding depression as the colonisation proceeds for 10 generations. Our results therefore show that even mild polyandry provides both reproductive and genetic benefits for colonising populations.
- Published
- 2020
- Full Text
- View/download PDF
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