27 results
Neutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network
- Part of
- K. Ackley, V. B. Adya, P. Agrawal, P. Altin, G. Ashton, M. Bailes, E. Baltinas, A. Barbuio, D. Beniwal, C. Blair, D. Blair, G. N. Bolingbroke, V. Bossilkov, S. Shachar Boublil, D. D. Brown, B. J. Burridge, J. Calderon Bustillo, J. Cameron, H. Tuong Cao, J. B. Carlin, S. Chang, P. Charlton, C. Chatterjee, D. Chattopadhyay, X. Chen, J. Chi, J. Chow, Q. Chu, A. Ciobanu, T. Clarke, P. Clearwater, J. Cooke, D. Coward, H. Crisp, R. J. Dattatri, A. T. Deller, D. A. Dobie, L. Dunn, P. J. Easter, J. Eichholz, R. Evans, C. Flynn, G. Foran, P. Forsyth, Y. Gai, S. Galaudage, D. K. Galloway, B. Gendre, B. Goncharov, S. Goode, D. Gozzard, B. Grace, A. W. Graham, A. Heger, F. Hernandez Vivanco, R. Hirai, N. A. Holland, Z. J. Holmes, E. Howard, E. Howell, G. Howitt, M. T. Hübner, J. Hurley, C. Ingram, V. Jaberian Hamedan, K. Jenner, L. Ju, D. P. Kapasi, T. Kaur, N. Kijbunchoo, M. Kovalam, R. Kumar Choudhary, P. D. Lasky, M. Y. M. Lau, J. Leung, J. Liu, K. Loh, A. Mailvagan, I. Mandel, J. J. McCann, D. E. McClelland, K. McKenzie, D. McManus, T. McRae, A. Melatos, P. Meyers, H. Middleton, M. T. Miles, M. Millhouse, Y. Lun Mong, B. Mueller, J. Munch, J. Musiov, S. Muusse, R. S. Nathan, Y. Naveh, C. Neijssel, B. Neil, S. W. S. Ng, V. Oloworaran, D. J. Ottaway, M. Page, J. Pan, M. Pathak, E. Payne, J. Powell, J. Pritchard, E. Puckridge, A. Raidani, V. Rallabhandi, D. Reardon, J. A. Riley, L. Roberts, I. M. Romero-Shaw, T. J. Roocke, G. Rowell, N. Sahu, N. Sarin, L. Sarre, H. Sattari, M. Schiworski, S. M. Scott, R. Sengar, D. Shaddock, R. Shannon, J. SHI, P. Sibley, B. J. J. Slagmolen, T. Slaven-Blair, R. J. E. Smith, J. Spollard, L. Steed, L. Strang, H. Sun, A. Sunderland, S. Suvorova, C. Talbot, E. Thrane, D. Töyrä, P. Trahanas, A. Vajpeyi, J. V. van Heijningen, A. F. Vargas, P. J. Veitch, A. Vigna-Gomez, A. Wade, K. Walker, Z. Wang, R. L. Ward, K. Ward, S. Webb, L. Wen, K. Wette, R. Wilcox, J. Winterflood, C. Wolf, B. Wu, M. Jet Yap, Z. You, H. Yu, J. Zhang, J. Zhang, C. Zhao, X. Zhu
-
- Journal:
- Publications of the Astronomical Society of Australia / Volume 37 / 2020
- Published online by Cambridge University Press:
- 05 November 2020, e047
-
- Article
-
- You have access Access
- HTML
- Export citation
-
Gravitational waves from coalescing neutron stars encode information about nuclear matter at extreme densities, inaccessible by laboratory experiments. The late inspiral is influenced by the presence of tides, which depend on the neutron star equation of state. Neutron star mergers are expected to often produce rapidly rotating remnant neutron stars that emit gravitational waves. These will provide clues to the extremely hot post-merger environment. This signature of nuclear matter in gravitational waves contains most information in the 2–4 kHz frequency band, which is outside of the most sensitive band of current detectors. We present the design concept and science case for a Neutron Star Extreme Matter Observatory (NEMO): a gravitational-wave interferometer optimised to study nuclear physics with merging neutron stars. The concept uses high-circulating laser power, quantum squeezing, and a detector topology specifically designed to achieve the high-frequency sensitivity necessary to probe nuclear matter using gravitational waves. Above 1 kHz, the proposed strain sensitivity is comparable to full third-generation detectors at a fraction of the cost. Such sensitivity changes expected event rates for detection of post-merger remnants from approximately one per few decades with two A+ detectors to a few per year and potentially allow for the first gravitational-wave observations of supernovae, isolated neutron stars, and other exotica.
LO45: Simulation-based research in emergency medicine in Canada: priorities and perspectives
- T. Chaplin, B. Thoma, A. Petrosoniak, K. Caners, T. McColl, C. Forristal, C. Dakin, J. Deshaies, E. Raymond-Dufresne, M. Fotheringham, D. Ha, N. Holm, J. Huffman, A. Lonergan, G. Mastoras, M. O'Brien, M. Paradis, N. Sowers, E. Stern, A. Hall
-
- Journal:
- Canadian Journal of Emergency Medicine / Volume 21 / Issue S1 / May 2019
- Published online by Cambridge University Press:
- 02 May 2019, pp. S23-S24
- Print publication:
- May 2019
-
- Article
-
- You have access Access
- Export citation
-
Introduction: Simulation has assumed an integral role in the Canadian healthcare system with applications in quality improvement, systems development, and medical education. High quality simulation-based research (SBR) is required to ensure the effective and efficient use of this tool. This study sought to establish national SBR priorities and describe the barriers and facilitators of SBR in Emergency Medicine (EM) in Canada. Methods: Simulation leads (SLs) from all fourteen Canadian Departments or Divisions of EM associated with an adult FRCP-EM training program were invited to participate in three surveys and a final consensus meeting. The first survey documented active EM SBR projects. Rounds two and three established and ranked priorities for SBR and identified the perceived barriers and facilitators to SBR at each site. Surveys were completed by SLs at each participating institution, and priority research themes were reviewed by senior faculty for broad input and review. Results: Twenty SLs representing all 14 invited institutions participated in all three rounds of the study. 60 active SBR projects were identified, an average of 4.3 per institution (range 0-17). 49 priorities for SBR in Canada were defined and summarized into seven priority research themes. An additional theme was identified by the senior reviewing faculty. 41 barriers and 34 facilitators of SBR were identified and grouped by theme. Fourteen SLs representing 12 institutions attended the consensus meeting and vetted the final list of eight priority research themes for SBR in Canada: simulation in CBME, simulation for interdisciplinary and inter-professional learning, simulation for summative assessment, simulation for continuing professional development, national curricular development, best practices in simulation-based education, simulation-based education outcomes, and simulation as an investigative methodology. Conclusion: Conclusion: This study has summarized the current SBR activity in EM in Canada, as well as its perceived barriers and facilitators. We also provide a consensus on priority research themes in SBR in EM from the perspective of Canadian simulation leaders. This group of SLs has formed a national simulation-based research group which aims to address these identified priorities with multicenter collaborative studies.
Environmental Effects on the Relative Competitive Ability of Canola and Small-Grain Cereals in a Direct-Seeded System
- K. Neil Harker, John T. O'Donovan, Robert E. Blackshaw, Eric N. Johnson, Frederick A. Holm, George W. Clayton
-
- Journal:
- Weed Science / Volume 59 / Issue 3 / September 2011
- Published online by Cambridge University Press:
- 20 January 2017, pp. 404-415
-
- Article
- Export citation
-
Growing crops that exhibit a high level of competition with weeds increases opportunities to practice integrated weed management and reduce herbicide inputs. The recent development and market dominance of hybrid canola cultivars provides an opportunity to reassess the relative competitive ability of canola cultivars with small-grain cereals. Direct-seeded (no-till) experiments were conducted at five western Canada locations from 2006 to 2008 to compare the competitive ability of canola cultivars vs. small-grain cereals. The relative competitive ability of the species and cultivars was determined by assessing monocot and dicot weed biomass at different times throughout the growing season as well as oat (simulated weed) seed production. Under most conditions, but especially under warm and relatively dry environments, barley cultivars had the greatest relative competitive ability. Rye and triticale were also highly competitive species under most environmental conditions. Canada Prairie Spring Red wheat and Canada Western Red Spring wheat cultivars usually were the least competitive cereal crops, but there were exceptions in some environments. Canola hybrids were more competitive than open-pollinated canola cultivars. More importantly, under cool, low growing degree day conditions, canola hybrids were as competitive as barley, especially with dicot weeds. Under most conditions, hybrid canola growers on the Canadian Prairies are well advised to avoid the additional selection pressure inherent with a second in-crop herbicide application. Combining competitive cultivars of any species with optimal agronomic practices that facilitate crop health will enhance cropping system sustainability and allow growers to extend the life of their valuable herbicide tools.
Glyphosate-resistant wheat persistence in western Canadian cropping systems
- K. Neil Harker, George W. Clayton, Robert E. Blackshaw, John T. O'Donovan, Eric N. Johnson, Yantai Gan, Frederick A. Holm, Ken L. Sapsford, R. Byron Irvine, Rene C. Van Acker
-
- Journal:
- Weed Science / Volume 53 / Issue 6 / December 2005
- Published online by Cambridge University Press:
- 20 January 2017, pp. 846-859
-
- Article
- Export citation
-
As a weed, wheat has recently gained greater profile. Determining wheat persistence in cropping systems will facilitate the development of effective volunteer wheat management strategies. In October of 2000, glyphosate-resistant (GR) spring wheat seeds were scattered on plots at eight western Canada sites. From 2001 to 2003, the plots were seeded to a canola–barley–field-pea rotation or a fallow–barley–fallow rotation, with five seeding systems involving seeding dates and soil disturbance levels, and monitored for wheat plant density. Herbicides and tillage (in fallow systems) were used to ensure that no wheat plants produced seed. Seeding systems with greater levels of soil disturbance usually had greater wheat densities. Volunteer wheat densities at 2 (2002) and 3 (2003) yr after seed dispersal were close to zero but still detectable at most locations. At the end of 2003, viable wheat seeds were not detected in the soil seed bank at any location. The majority of wheat seedlings were recruited in the year following seed dispersal (2001) at the in-crop, prespray (PRES) interval. At the PRES interval in 2001, across all locations and treatments, wheat density averaged 2.6 plants m−2. At the preplanting interval (PREP), overall wheat density averaged only 0.2 plants m−2. By restricting density data to include only continuous cropping, low-disturbance direct-seeding (LDS) systems, the latter mean dropped below 0.1 plants m−2. Only at one site were preplanting GR wheat densities sufficient (4.2 plants m−2) to justify a preseeding herbicide treatment in addition to glyphosate in LDS systems. Overall volunteer wheat recruitment at all spring and summer intervals in the continuous cropping rotation in 2001 was 1.7% (3.3 plants m−2). Despite the fact that volunteer wheat has become more common in the central and northern Great Plains, there is little evidence from this study to suggest that its persistence will be a major agronomic problem.
Contributors
-
- By Mitchell Aboulafia, Frederick Adams, Marilyn McCord Adams, Robert M. Adams, Laird Addis, James W. Allard, David Allison, William P. Alston, Karl Ameriks, C. Anthony Anderson, David Leech Anderson, Lanier Anderson, Roger Ariew, David Armstrong, Denis G. Arnold, E. J. Ashworth, Margaret Atherton, Robin Attfield, Bruce Aune, Edward Wilson Averill, Jody Azzouni, Kent Bach, Andrew Bailey, Lynne Rudder Baker, Thomas R. Baldwin, Jon Barwise, George Bealer, William Bechtel, Lawrence C. Becker, Mark A. Bedau, Ernst Behler, José A. Benardete, Ermanno Bencivenga, Jan Berg, Michael Bergmann, Robert L. Bernasconi, Sven Bernecker, Bernard Berofsky, Rod Bertolet, Charles J. Beyer, Christian Beyer, Joseph Bien, Joseph Bien, Peg Birmingham, Ivan Boh, James Bohman, Daniel Bonevac, Laurence BonJour, William J. Bouwsma, Raymond D. Bradley, Myles Brand, Richard B. Brandt, Michael E. Bratman, Stephen E. Braude, Daniel Breazeale, Angela Breitenbach, Jason Bridges, David O. Brink, Gordon G. Brittan, Justin Broackes, Dan W. Brock, Aaron Bronfman, Jeffrey E. Brower, Bartosz Brozek, Anthony Brueckner, Jeffrey Bub, Lara Buchak, Otavio Bueno, Ann E. Bumpus, Robert W. Burch, John Burgess, Arthur W. Burks, Panayot Butchvarov, Robert E. Butts, Marina Bykova, Patrick Byrne, David Carr, Noël Carroll, Edward S. Casey, Victor Caston, Victor Caston, Albert Casullo, Robert L. Causey, Alan K. L. Chan, Ruth Chang, Deen K. Chatterjee, Andrew Chignell, Roderick M. Chisholm, Kelly J. Clark, E. J. Coffman, Robin Collins, Brian P. Copenhaver, John Corcoran, John Cottingham, Roger Crisp, Frederick J. Crosson, Antonio S. Cua, Phillip D. Cummins, Martin Curd, Adam Cureton, Andrew Cutrofello, Stephen Darwall, Paul Sheldon Davies, Wayne A. Davis, Timothy Joseph Day, Claudio de Almeida, Mario De Caro, Mario De Caro, John Deigh, C. F. Delaney, Daniel C. Dennett, Michael R. DePaul, Michael Detlefsen, Daniel Trent Devereux, Philip E. Devine, John M. Dillon, Martin C. Dillon, Robert DiSalle, Mary Domski, Alan Donagan, Paul Draper, Fred Dretske, Mircea Dumitru, Wilhelm Dupré, Gerald Dworkin, John Earman, Ellery Eells, Catherine Z. Elgin, Berent Enç, Ronald P. Endicott, Edward Erwin, John Etchemendy, C. Stephen Evans, Susan L. Feagin, Solomon Feferman, Richard Feldman, Arthur Fine, Maurice A. Finocchiaro, William FitzPatrick, Richard E. Flathman, Gvozden Flego, Richard Foley, Graeme Forbes, Rainer Forst, Malcolm R. Forster, Daniel Fouke, Patrick Francken, Samuel Freeman, Elizabeth Fricker, Miranda Fricker, Michael Friedman, Michael Fuerstein, Richard A. Fumerton, Alan Gabbey, Pieranna Garavaso, Daniel Garber, Jorge L. A. Garcia, Robert K. Garcia, Don Garrett, Philip Gasper, Gerald Gaus, Berys Gaut, Bernard Gert, Roger F. Gibson, Cody Gilmore, Carl Ginet, Alan H. Goldman, Alvin I. Goldman, Alfonso Gömez-Lobo, Lenn E. Goodman, Robert M. Gordon, Stefan Gosepath, Jorge J. E. Gracia, Daniel W. Graham, George A. Graham, Peter J. Graham, Richard E. Grandy, I. Grattan-Guinness, John Greco, Philip T. Grier, Nicholas Griffin, Nicholas Griffin, David A. Griffiths, Paul J. Griffiths, Stephen R. Grimm, Charles L. Griswold, Charles B. Guignon, Pete A. Y. Gunter, Dimitri Gutas, Gary Gutting, Paul Guyer, Kwame Gyekye, Oscar A. Haac, Raul Hakli, Raul Hakli, Michael Hallett, Edward C. Halper, Jean Hampton, R. James Hankinson, K. R. Hanley, Russell Hardin, Robert M. Harnish, William Harper, David Harrah, Kevin Hart, Ali Hasan, William Hasker, John Haugeland, Roger Hausheer, William Heald, Peter Heath, Richard Heck, John F. Heil, Vincent F. Hendricks, Stephen Hetherington, Francis Heylighen, Kathleen Marie Higgins, Risto Hilpinen, Harold T. Hodes, Joshua Hoffman, Alan Holland, Robert L. Holmes, Richard Holton, Brad W. Hooker, Terence E. Horgan, Tamara Horowitz, Paul Horwich, Vittorio Hösle, Paul Hoβfeld, Daniel Howard-Snyder, Frances Howard-Snyder, Anne Hudson, Deal W. Hudson, Carl A. Huffman, David L. Hull, Patricia Huntington, Thomas Hurka, Paul Hurley, Rosalind Hursthouse, Guillermo Hurtado, Ronald E. Hustwit, Sarah Hutton, Jonathan Jenkins Ichikawa, Harry A. Ide, David Ingram, Philip J. Ivanhoe, Alfred L. Ivry, Frank Jackson, Dale Jacquette, Joseph Jedwab, Richard Jeffrey, David Alan Johnson, Edward Johnson, Mark D. Jordan, Richard Joyce, Hwa Yol Jung, Robert Hillary Kane, Tomis Kapitan, Jacquelyn Ann K. Kegley, James A. Keller, Ralph Kennedy, Sergei Khoruzhii, Jaegwon Kim, Yersu Kim, Nathan L. King, Patricia Kitcher, Peter D. Klein, E. D. Klemke, Virginia Klenk, George L. Kline, Christian Klotz, Simo Knuuttila, Joseph J. Kockelmans, Konstantin Kolenda, Sebastian Tomasz Kołodziejczyk, Isaac Kramnick, Richard Kraut, Fred Kroon, Manfred Kuehn, Steven T. Kuhn, Henry E. Kyburg, John Lachs, Jennifer Lackey, Stephen E. Lahey, Andrea Lavazza, Thomas H. Leahey, Joo Heung Lee, Keith Lehrer, Dorothy Leland, Noah M. Lemos, Ernest LePore, Sarah-Jane Leslie, Isaac Levi, Andrew Levine, Alan E. Lewis, Daniel E. Little, Shu-hsien Liu, Shu-hsien Liu, Alan K. L. Chan, Brian Loar, Lawrence B. Lombard, John Longeway, Dominic McIver Lopes, Michael J. Loux, E. J. Lowe, Steven Luper, Eugene C. Luschei, William G. Lycan, David Lyons, David Macarthur, Danielle Macbeth, Scott MacDonald, Jacob L. Mackey, Louis H. Mackey, Penelope Mackie, Edward H. Madden, Penelope Maddy, G. B. Madison, Bernd Magnus, Pekka Mäkelä, Rudolf A. Makkreel, David Manley, William E. Mann (W.E.M.), Vladimir Marchenkov, Peter Markie, Jean-Pierre Marquis, Ausonio Marras, Mike W. Martin, A. P. Martinich, William L. McBride, David McCabe, Storrs McCall, Hugh J. McCann, Robert N. McCauley, John J. McDermott, Sarah McGrath, Ralph McInerny, Daniel J. McKaughan, Thomas McKay, Michael McKinsey, Brian P. McLaughlin, Ernan McMullin, Anthonie Meijers, Jack W. Meiland, William Jason Melanson, Alfred R. Mele, Joseph R. Mendola, Christopher Menzel, Michael J. Meyer, Christian B. Miller, David W. Miller, Peter Millican, Robert N. Minor, Phillip Mitsis, James A. Montmarquet, Michael S. Moore, Tim Moore, Benjamin Morison, Donald R. Morrison, Stephen J. Morse, Paul K. Moser, Alexander P. D. Mourelatos, Ian Mueller, James Bernard Murphy, Mark C. Murphy, Steven Nadler, Jan Narveson, Alan Nelson, Jerome Neu, Samuel Newlands, Kai Nielsen, Ilkka Niiniluoto, Carlos G. Noreña, Calvin G. Normore, David Fate Norton, Nikolaj Nottelmann, Donald Nute, David S. Oderberg, Steve Odin, Michael O’Rourke, Willard G. Oxtoby, Heinz Paetzold, George S. Pappas, Anthony J. Parel, Lydia Patton, R. P. Peerenboom, Francis Jeffry Pelletier, Adriaan T. Peperzak, Derk Pereboom, Jaroslav Peregrin, Glen Pettigrove, Philip Pettit, Edmund L. Pincoffs, Andrew Pinsent, Robert B. Pippin, Alvin Plantinga, Louis P. Pojman, Richard H. Popkin, John F. Post, Carl J. Posy, William J. Prior, Richard Purtill, Michael Quante, Philip L. Quinn, Philip L. Quinn, Elizabeth S. Radcliffe, Diana Raffman, Gerard Raulet, Stephen L. Read, Andrews Reath, Andrew Reisner, Nicholas Rescher, Henry S. Richardson, Robert C. Richardson, Thomas Ricketts, Wayne D. Riggs, Mark Roberts, Robert C. Roberts, Luke Robinson, Alexander Rosenberg, Gary Rosenkranz, Bernice Glatzer Rosenthal, Adina L. Roskies, William L. Rowe, T. M. Rudavsky, Michael Ruse, Bruce Russell, Lilly-Marlene Russow, Dan Ryder, R. M. Sainsbury, Joseph Salerno, Nathan Salmon, Wesley C. Salmon, Constantine Sandis, David H. Sanford, Marco Santambrogio, David Sapire, Ruth A. Saunders, Geoffrey Sayre-McCord, Charles Sayward, James P. Scanlan, Richard Schacht, Tamar Schapiro, Frederick F. Schmitt, Jerome B. Schneewind, Calvin O. Schrag, Alan D. Schrift, George F. Schumm, Jean-Loup Seban, David N. Sedley, Kenneth Seeskin, Krister Segerberg, Charlene Haddock Seigfried, Dennis M. Senchuk, James F. Sennett, William Lad Sessions, Stewart Shapiro, Tommie Shelby, Donald W. Sherburne, Christopher Shields, Roger A. Shiner, Sydney Shoemaker, Robert K. Shope, Kwong-loi Shun, Wilfried Sieg, A. John Simmons, Robert L. Simon, Marcus G. Singer, Georgette Sinkler, Walter Sinnott-Armstrong, Matti T. Sintonen, Lawrence Sklar, Brian Skyrms, Robert C. Sleigh, Michael Anthony Slote, Hans Sluga, Barry Smith, Michael Smith, Robin Smith, Robert Sokolowski, Robert C. Solomon, Marta Soniewicka, Philip Soper, Ernest Sosa, Nicholas Southwood, Paul Vincent Spade, T. L. S. Sprigge, Eric O. Springsted, George J. Stack, Rebecca Stangl, Jason Stanley, Florian Steinberger, Sören Stenlund, Christopher Stephens, James P. Sterba, Josef Stern, Matthias Steup, M. A. Stewart, Leopold Stubenberg, Edith Dudley Sulla, Frederick Suppe, Jere Paul Surber, David George Sussman, Sigrún Svavarsdóttir, Zeno G. Swijtink, Richard Swinburne, Charles C. Taliaferro, Robert B. Talisse, John Tasioulas, Paul Teller, Larry S. Temkin, Mark Textor, H. S. Thayer, Peter Thielke, Alan Thomas, Amie L. Thomasson, Katherine Thomson-Jones, Joshua C. Thurow, Vzalerie Tiberius, Terrence N. Tice, Paul Tidman, Mark C. Timmons, William Tolhurst, James E. Tomberlin, Rosemarie Tong, Lawrence Torcello, Kelly Trogdon, J. D. Trout, Robert E. Tully, Raimo Tuomela, John Turri, Martin M. Tweedale, Thomas Uebel, Jennifer Uleman, James Van Cleve, Harry van der Linden, Peter van Inwagen, Bryan W. Van Norden, René van Woudenberg, Donald Phillip Verene, Samantha Vice, Thomas Vinci, Donald Wayne Viney, Barbara Von Eckardt, Peter B. M. Vranas, Steven J. Wagner, William J. Wainwright, Paul E. Walker, Robert E. Wall, Craig Walton, Douglas Walton, Eric Watkins, Richard A. Watson, Michael V. Wedin, Rudolph H. Weingartner, Paul Weirich, Paul J. Weithman, Carl Wellman, Howard Wettstein, Samuel C. Wheeler, Stephen A. White, Jennifer Whiting, Edward R. Wierenga, Michael Williams, Fred Wilson, W. Kent Wilson, Kenneth P. Winkler, John F. Wippel, Jan Woleński, Allan B. Wolter, Nicholas P. Wolterstorff, Rega Wood, W. Jay Wood, Paul Woodruff, Alison Wylie, Gideon Yaffe, Takashi Yagisawa, Yutaka Yamamoto, Keith E. Yandell, Xiaomei Yang, Dean Zimmerman, Günter Zoller, Catherine Zuckert, Michael Zuckert, Jack A. Zupko (J.A.Z.)
- Edited by Robert Audi, University of Notre Dame, Indiana
-
- Book:
- The Cambridge Dictionary of Philosophy
- Published online:
- 05 August 2015
- Print publication:
- 27 April 2015, pp ix-xxx
-
- Chapter
- Export citation
List of Contributors
-
- By M. A. Allison, D. M. Alongi, N. Bi, T. S. Bianchi, G. Billen, N. Blair, D. Bombar, A. Borges, S. Bouillon, W. P. Broussard III, W.-J. Cai, J. Callens, S. Chakraborty, C. T. Arthur Chen, N. Chen, D. R. Corbett, M. Dai, J. W. Day, J. W. Dippner, S. Duan, C. Duarte, T. I. Eglinton, G. Erkens, C. France-Lanord, J. Gaillardet, V. Galy, J. Gan, J. Garnier, M. Goñi, S. L. Goodbred, K. Gundersen, L. Guo, D. Nhu Hai, A. Han, P. J. Harrison, C. Hein, P. J. Hernes, R. D. Hetland, R. M. Holmes, T. J. Hsu, G. Hunsinger, A. Kolker, S. A. Kuehl, H. S. Kung, Z. Lai, N. Ngoc Lam, E. L. Leithold, P. Liu, S. E. Lohrenz, N. Loick-Wilde, R. Macdonald, B. A. McKee, E. Meselhe, H. Middelkoop, S. Mitra, W. Moufaddal, M. C. Murrell, C. A. Nittrouer, A. S. Ogston, P. Passy, M. van der Perk, A. Ramanathan, P. A. Raymond, A. I. Robertson, B. E. Rosenheim, G. P. Shaffer, A. M. Shiller, M. Silvestre, R. G. M. Spencer, R. G. Striegl, A. Stubbins, S. E. Tank, V. Thieu, J. M. Visser, M. Voss, J. P. Walsh, H. Wang, W. R. Woerner, Y. Wu, J. Xu, Z. Yang, K. Yin, Z. Yin, G. L. Zhang, J. Zhang, Z. Y. Zhu, A. R. Zimmerman
- Edited by Thomas S. Bianchi, Texas A & M University, Mead A. Allison, University of Texas, Austin, Wei-Jun Cai, University of Delaware
-
- Book:
- Biogeochemical Dynamics at Major River-Coastal Interfaces
- Published online:
- 05 November 2013
- Print publication:
- 28 October 2013, pp ix-xii
-
- Chapter
- Export citation
List of contributors
-
- By Nazia M. Alam, Enrico Alleva, Hiroyuki Arakawa, Robert H. Benno, Fred G. Biddle, D. Caroline Blanchard, Robert J. Blanchard, Richard J. Bodnar, John D. Boughter, Igor Branchi, Richard E. Brown, Abel Bult-Ito, Jonathan M. Cachat, Peter R. Canavello, Francesca Cirulli, Giovanni Colacicco, John C. Crabbe, Jacqueline N. Crawley, Wim E. Crusio, Sietse F. de Boer, Ekrem Dere, Brenda A. Eales, Robert T. Gerlai, Howard K. Gershenfeld, Thomas J. Gould, Martin E. Hahn, Peter C. Hart, Andrew Holmes, Joseph P. Huston, Allan V. Kalueff, Benjamin Kest, Robert Lalonde, Sarah R. Lewis-Levy, Hans-Peter Lipp, Sheree F. Logue, Stephen C. Maxson, Jeffrey S. Mogil, Douglas A. Monks, Dennis L. Murphy, Lee Niel, Timothy P. O’Leary, Susanna Pietropaolo, Peter K.D. Pilz, Claudia F. Plappert, Bernard Possidente, Glen T. Prusky, Laura Ricceri, Heather Schellinck, Herbert Schwegler, Burton Slotnick, Frans Sluyter, Shad B. Smith, Catherine Strazielle, Douglas Wahlsten, Hans Welzl, James F. Willott, David P. Wolfer, Armin Zlomuzica
- Edited by Wim E. Crusio, Université de Bordeaux, Frans Sluyter, Robert T. Gerlai, University of Toronto, Susanna Pietropaolo, Université de Bordeaux
-
- Book:
- Behavioral Genetics of the Mouse
- Published online:
- 05 May 2013
- Print publication:
- 25 April 2013, pp ix-xii
-
- Chapter
- Export citation
Contributors
-
- By Lassi Alvesalo, Alberto Anta, Juan Luis Arsuaga, Shara E. Bailey, Priscilla Bayle, José María Bermúdez de Castro, Tracy K. Betsinger, Luca Bondioli, Scott E. Burnett, Concepcion de la Rúa, William N. Duncan, Ryan M. Durner, Heather J.H. Edgar, Scott M. Fitzpatrick, Michael R. Fong, Ana Gracia-Téllez, Theresa M. Grieco, Debbie Guatelli-Steinberg, Tsunehiko Hanihara, Brian E. Hemphill, Leslea J. Hlusko, Michael W. Holmes, Jean-Jacques Hublin, Toby E. Hughes, John P. Hunter, Joel D. Irish, Kent M. Johnson, Sri Kuswandari, Christine Lee, John R. Lukacs, Roberto Macchiarelli, Laura Martín-Francés, Ignacio Martínez, María Martinón-Torres, Arnaud Mazurier, Yuji Mizoguchi, Stephanie Moormann, Greg C. Nelson, Stephen D. Ousley, Oliver T. Rizk, G. Richard Scott, Roman Schomberg, Kes Schroer, Christopher M. Stojanowski, Grant C. Townsend, Christy G. Turner, Theresia C. Weston, Bernard Wood, Clément Zanolli, Linhu Zhang
- Edited by G. Richard Scott, University of Alaska, Fairbanks, Joel D. Irish, Liverpool John Moores University
-
- Book:
- Anthropological Perspectives on Tooth Morphology
- Published online:
- 05 March 2013
- Print publication:
- 21 February 2013, pp viii-xi
-
- Chapter
- Export citation
e-Dairy: a dynamic and stochastic whole-farm model that predicts biophysical and economic performance of grazing dairy systems
- J. Baudracco, N. Lopez-Villalobos, C. W. Holmes, E. A. Comeron, K. A. Macdonald, T. N. Barry
-
- Article
- Export citation
-
A whole-farm, stochastic and dynamic simulation model was developed to predict biophysical and economic performance of grazing dairy systems. Several whole-farm models simulate grazing dairy systems, but most of them work at a herd level. This model, named e-Dairy, differs from the few models that work at an animal level, because it allows stochastic behaviour of the genetic merit of individual cows for several traits, namely, yields of milk, fat and protein, live weight (LW) and body condition score (BCS) within a whole-farm model. This model accounts for genetic differences between cows, is sensitive to genotype × environment interactions at an animal level and allows pasture growth, milk and supplements price to behave stochastically. The model includes an energy-based animal module that predicts intake at grazing, mammary gland functioning and body lipid change. This whole-farm model simulates a 365-day period for individual cows within a herd, with cow parameters randomly generated on the basis of the mean parameter values, defined as input and variance and co-variances from experimental data sets. The main inputs of e-Dairy are farm area, use of land, type of pasture, type of crops, monthly pasture growth rate, supplements offered, nutritional quality of feeds, herd description including herd size, age structure, calving pattern, BCS and LW at calving, probabilities of pregnancy, average genetic merit and economic values for items of income and costs. The model allows to set management policies to define: dry-off cows (ceasing of lactation), target pre- and post-grazing herbage mass and feed supplementation. The main outputs are herbage dry matter intake, annual pasture utilisation, milk yield, changes in BCS and LW, economic farm profit and return on assets. The model showed satisfactory accuracy of prediction when validated against two data sets from farmlet system experiments. Relative prediction errors were <10% for all variables, and concordance correlation coefficients over 0.80 for annual pasture utilisation, yields of milk and milk solids (MS; fat plus protein), and of 0.69 and 0.48 for LW and BCS, respectively. A simulation of two contrasting dairy systems is presented to show the practical use of the model. The model can be used to explore the effects of feeding level and genetic merit and their interactions for grazing dairy systems, evaluating the trade-offs between profit and the associated risk.
Contributors
-
- By Federico Agliardi, Andrea Alpiger, Gianluca Bianchi Fasani, Lars Harald Blikra, Brian D. Bornhold, Edward N. Bromhead, Marko H.K. Bulmer, D. Calvin Campbell, Marie Charrière, Masahiro Chigira, John J. Clague, John Coggan, Giovanni B. Crosta, Tim Davies, Marc-Henri Derron, Mark Diederichs, Erik Eberhardt, Carlo Esposito, Robin Fell, Paolo Frattini, Corey R. Froese, Monica Ghirotti, Valentin Gischig, James S. Griffiths, Stephen R. Hencher, Reginald L. Hermanns, Kris Holm, Seyyedmahdi Hosseyni, Niels Hovius, Christian Huggel, Florian Humair, Oldrich Hungr, D. Jean Hutchinson, Michel Jaboyedoff, Matthias Jakob, Julien Jakubowski, Randall W. Jibson, Katherine S. Kalenchuk, Nikolay Khabarov, Oliver Korup, Luca Lenti, Serge Leroueil, Simon Loew, Oddvar Longva, Patrick MacGregor, Andrew W. Malone, Salvatore Martino, Scott McDougall, Mika McKinnon, Mauri McSaveney, Patrick Meunier, Dennis Moore, Jeffrey R. Moore, David C. Mosher, Michael Obersteiner, Lucio Olivares, Thierry Oppikofer, Luca Pagano, Massimo Pecci, Andrea Pedrazzini, David Petley, Luciano Picarelli, David J.W. Piper, John Psutka, Nicholas J. Roberts, Gabriele Scarascia Mugnozza, David Stapledon, Douglas Stead, Richard E. Thomson, Paolo Tommasi, J. Kenneth Torrance, Nobuyuki Torii, Gianfranco Urciuoli, Gonghui Wang, Christopher F. Waythomas, Malcolm Whitworth, Heike Willenberg, Xiyong Wu
- Edited by John J. Clague, Simon Fraser University, British Columbia, Douglas Stead, Simon Fraser University, British Columbia
-
- Book:
- Landslides
- Published online:
- 05 May 2013
- Print publication:
- 23 August 2012, pp vii-x
-
- Chapter
- Export citation
Effect of the Pea Aphid, Acyrthosiphon pisum (Harr.) (Homoptera: Aphididae), on Yields of Alfalfa Hay on Irrigated Land1
- G. A. Hobbs, N. D. Holmes, G. E. Swailes, N. S. Church
-
- Journal:
- The Canadian Entomologist / Volume 93 / Issue 9 / September 1961
- Published online by Cambridge University Press:
- 31 May 2012, pp. 801-804
-
- Article
- Export citation
-
Although there are many reports on the control of the pea aphid and its effect on the yield of peas, few are available on the effect of the aphid on the yield of alfalfa hay, particularly on irrigated land. The experiments of Cook and App (1956) and Franklin (1953) were done under climatic and edaphic conditions different from those encountered in southern Alberta. Outbreaks of the aphid occur only occasionally in Alberta, but in 1957 it was very abundant in some irrigated alfalfa fields. This is a report on the effect of the aphid on yields of alfalfa hay in an irrigated area in southern Alberta.
USE OF TRAPS BAITED WITH VIRGIN FEMALES FOR FIELD OBSERVATIONS ON THE BERTHA ARMYWORM (LEPIDOPTERA: NOCTUIDAE)
- G. E. Swailes, D. L. Struble, N. D. Holmes
-
- Journal:
- The Canadian Entomologist / Volume 107 / Issue 7 / July 1975
- Published online by Cambridge University Press:
- 31 May 2012, pp. 781-784
-
- Article
- Export citation
-
Cylindrical traps with screen cones at the ends baited with virgin females and placed in rape fields about 1 m above ground level were effective in trapping males of the bertha armyworm. Males were most active between 0330 and 0430 h M.D.T. and moved precisely to confined females. Virgin females became attractive 1 day after emergence and remained attractive for at least 7 days. Trapping was an effective method for rapidly determining the presence of bertha armyworm.
The Eriophyid Mite Aceria tulipae (K.) (Acarina: Eriophyidae) and Silver Top in Grasses1
- N. D. Holmes, G. E. Swailes, G. A. Hobbs
-
- Journal:
- The Canadian Entomologist / Volume 93 / Issue 8 / August 1961
- Published online by Cambridge University Press:
- 31 May 2012, pp. 644-647
-
- Article
- Export citation
-
Sterility of grasses caused by a constricted brown region, usually in the upper internode, is commonly described as silver top because of the bleached appearance of the inflorescence. Hodgkiss (1908) reported that silver top was caused by the mite, Siteroptes graminum (Reuter), in conjunction with the fungus, Fusarium poae (Pk.) Wr. Brown et al. (1952) found that in the greenhouse several chlorinated hydrocarbons controlled S. graminum. Hardison et al. (1957) reported that S. graminum in combination with F. poae was of little importance in causing silver top of cultivated grasses in western Oregon. They suggested that two thrips of the genus Aptinothrips might be the primary cause. They recommended DDT or heptachlor applied in late April or early May. They also found that post-harvest burning reduced silver top.
THE RYE JOINTWORM (HYMENOPTERA: EURYTOMIDAE), A NEW INSECT PEST IN WESTERN CANADA
- N. D. Holmes, P. E. Blakeley
-
- Journal:
- The Canadian Entomologist / Volume 103 / Issue 2 / February 1971
- Published online by Cambridge University Press:
- 31 May 2012, pp. 277-280
-
- Article
- Export citation
-
The rye jointworm, Harmolita secale (Fitch), caused economic damage to fall rye in Alberta in 1968, 1969, and 1970, a first such record for Canada. Infested stems reached an average of 21 galls. Individuals in the laboratory required added moisture for pupation and to facilitate emergence of adults, which occurred during the first week of June in 1970. In 1970, the reproductive potential of about 70 was more than counterbalanced by the failure of almost 90% of the galls to produce adults.
Host-range testing of a mixture of two nucleopolyhedroviruses of Choristoneura fumiferana (Lepidoptera: Tortricidae)
- William J. Kaupp, Kevin N. Barber, William E. Fick, Peter M. Ebling, Tim R. Ladd, Stephen B. Holmes
-
- Journal:
- The Canadian Entomologist / Volume 143 / Issue 2 / April 2011
- Published online by Cambridge University Press:
- 03 January 2012, pp. 165-177
-
- Article
- Export citation
-
The host range of a mixture of Choristoneura fumiferana (Clemens) nucleopolyhedroviruses (CfMNPV and CfDefNPV) was investigated using a per os bioassay of larvae of 29 species of Lepidoptera and adult males of Megachile rotundata (F.) (Hymenoptera: Megachilidae). Using a whole-genomic DNA probe, positive results were obtained in 8 of 10 Tortricidae: Archips cerasivorana (Fitch), Choristoneura fractivittana (Clemens), C. fumiferana, Choristoneura occidentalis Freeman, Choristoneura pinus pinus Freeman, Choristoneura rosaceana (Harris), Clepsis persicana (Fitch), and Cydia pomonella (L.); one Crambidae: Ostrinia nubilalis (Hübner); one arctiine Erebidae: Estigmene acrea (Drury); and two Noctuidae: Oligia illocata (Walker) and Pyrrhia exprimens (Walker). Mortality rates were highest among C. fumiferana, C. occidentalis, C. pinus pinus, A. cerasivorana, and C. pomonella. Sequenced polymerase chain reaction (PCR) amplicons from infected individuals from several species confirmed that the primer sets amplified the target viruses. CfMNPV was consistently found in virus-fed C. fumiferana; whereas, CfDefNPV was present only occasionally. The presence of CfMNPV and CfDefNPV in A. cerasivorana was confirmed by PCR and DNA sequencing. Significant treatment-mortality rates were induced in the noctuids P. exprimens and Acronicta impleta Walker; PCR determined that both viruses were present in treated P. exprimens but only CfMNPV was present in A. impleta. No virus was detected in M. rotundata.
e-Cow: an animal model that predicts herbage intake, milk yield and live weight change in dairy cows grazing temperate pastures, with and without supplementary feeding
- J. Baudracco, N. Lopez-Villalobos, C. W. Holmes, E. A. Comeron, K. A. Macdonald, T. N. Barry, N. C. Friggens
-
- Article
- Export citation
-
This animal simulation model, named e-Cow, represents a single dairy cow at grazing. The model integrates algorithms from three previously published models: a model that predicts herbage dry matter (DM) intake by grazing dairy cows, a mammary gland model that predicts potential milk yield and a body lipid model that predicts genetically driven live weight (LW) and body condition score (BCS). Both nutritional and genetic drives are accounted for in the prediction of energy intake and its partitioning. The main inputs are herbage allowance (HA; kg DM offered/cow per day), metabolisable energy and NDF concentrations in herbage and supplements, supplements offered (kg DM/cow per day), type of pasture (ryegrass or lucerne), days in milk, days pregnant, lactation number, BCS and LW at calving, breed or strain of cow and genetic merit, that is, potential yields of milk, fat and protein. Separate equations are used to predict herbage intake, depending on the cutting heights at which HA is expressed. The e-Cow model is written in Visual Basic programming language within Microsoft Excel®. The model predicts whole-lactation performance of dairy cows on a daily basis, and the main outputs are the daily and annual DM intake, milk yield and changes in BCS and LW. In the e-Cow model, neither herbage DM intake nor milk yield or LW change are needed as inputs; instead, they are predicted by the e-Cow model. The e-Cow model was validated against experimental data for Holstein–Friesian cows with both North American (NA) and New Zealand (NZ) genetics grazing ryegrass-based pastures, with or without supplementary feeding and for three complete lactations, divided into weekly periods. The model was able to predict animal performance with satisfactory accuracy, with concordance correlation coefficients of 0.81, 0.76 and 0.62 for herbage DM intake, milk yield and LW change, respectively. Simulations performed with the model showed that it is sensitive to genotype by feeding environment interactions. The e-Cow model tended to overestimate the milk yield of NA genotype cows at low milk yields, while it underestimated the milk yield of NZ genotype cows at high milk yields. The approach used to define the potential milk yield of the cow and equations used to predict herbage DM intake make the model applicable for predictions in countries with temperate pastures.
Habitual dietary intake of obese pregnant women in the UK
- S. Barr, L. Poston, A. Briley, E. Oteng-Ntim, B. Holmes, T. Kinnunen, H. Croker, R. Bell, J. Wardle, J. Sandall, N. Sattar, S. Nelson, T. A. B. Sanders
-
- Journal:
- Proceedings of the Nutrition Society / Volume 70 / Issue OCE1 / 2011
- Published online by Cambridge University Press:
- 01 August 2011, E14
-
- Article
-
- You have access Access
- HTML
- Export citation
The occurrence at Plymouth of the opisthobranch Akera bullata, with notes on its habits and relationships
- J. E. Morton, N. A. Holme
-
- Journal:
- Journal of the Marine Biological Association of the United Kingdom / Volume 34 / Issue 1 / February 1955
- Published online by Cambridge University Press:
- 11 May 2009, pp. 101-112
-
- Article
- Export citation
-
Akera bullata O. F. Müller is a tectibranch mollusc having a coiled external shell and a foot with lateral extensions used for swimming. At certain times of the year it swims actively, as was observed by Donovan, who writes that it ‘sports in its watery element with all the liveliness of a butterfly, and formed a pleasing object when kept alive in a glass of sea water’ (quoted by Montagu, 1803). Although sometimes abundant locally, it is not a mollusc often taken by the collector, even though it is a conspicuous object when swimming.
Dislocation Nucleation and Growth in MOCVD GaN/AlN Films on Stepped and Step-free 4H-SiC Mesa Substrates
- Mark E. Twigg, Yoosuf N. Picard, Nabil D. Bassim, Joshua D. Caldwell, Michael A. Mastro, Charles R. Eddy, Richard L. Henry, Ronald T. Holm, Philip G. Neudeck, Andrew J. Trunek, J. Anthony Powell
-
- Journal:
- MRS Online Proceedings Library Archive / Volume 1090 / 2008
- Published online by Cambridge University Press:
- 01 February 2011, 1090-Z05-24
- Print publication:
- 2008
-
- Article
- Export citation
-
Using transmission electron microscopy, we have analyzed dislocations in AlN nucleation layers and GaN films grown by metallorganic chemical vapor deposition (MOCVD) on the (0001) surface of epitaxially-grown 4H-SiC mesas with and without steps. For 4H-SiC substrates free of SiC surface steps, half-loop nucleation and glide parallel to the AlN/SiC interfacial plane play the dominant role in strain relief, with no mechanism for generating threading dislocations. In contrast, 4H-SiC mesa surfaces with steps give rise to regions of high stress at the heteroepitaxial interface, thereby providing an environment conducive to the nucleation and growth of threading dislocations, which act to accommodate misfit strain by the tilting of threading edge dislocations.
The effect of level of feeding, genetic merit, body condition score and age on biological parameters of a mammary gland model
- J. R. Bryant, N. Lopez-Villalobos, C. W. Holmes, J. E. Pryce, G. D. Pitman, S. R. Davis
-
- Article
-
- You have access Access
- HTML
- Export citation
-
An evolutionary algorithm was applied to a mechanistic model of the mammary gland to find the parameter values that minimised the difference between predicted and actual lactation curves of milk yields in New Zealand Jersey cattle managed at different feeding levels. The effect of feeding level, genetic merit, body condition score at parturition and age on total lactation yields of milk, fat and protein, days in milk, live weight and evolutionary algorithm derived mammary gland parameters was then determined using a multiple regression model. The mechanistic model of the mammary gland was able to fit lactation curves that corresponded to actual lactation curves with a high degree of accuracy. The senescence rate of quiescent (inactive) alveoli was highest at the very low feeding level. The active alveoli population at peak lactation was highest at very low feeding levels, but lower nutritional status at this feeding level prevented high milk yields from being achieved. Genetic merit had a significant linear effect on the active alveoli population at peak and mid to late lactation, with higher values in animals, which had higher breeding values for milk yields. A type of genetic merit × feeding level scaling effect was observed for total yields of milk and fat, and total number of alveoli produced from conception until the end of lactation with the benefits of increases in genetic merit being greater at high feeding levels. A genetic merit × age scaling effect was observed for total lactation protein yields. Initial rates of differentiation of progenitor cells declined with age. Production levels of alveoli from conception to the end of lactation were lowest in 5- to 8-year-old animals; however, in these older animals, quiescent alveoli were reactivated more frequently. The active alveoli population at peak lactation and rates of active alveoli proceeding to quiescence were highest in animals of intermediate body condition scores of 4.0 to 5.0. The results illustrate the potential uses of a mechanistic model of the mammary gland to fit a lactation curve and to quantify the effects of feeding level, genetic merit, body condition score, and age on mammary gland dynamics throughout lactation.