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Suspected COVID-19 Reinfections at a Tertiary Care Center, Iowa 2020
- Takaaki Kobayashi, Mohammed Alsuhaibani, Miguel Ortiz, Katherine Imborek, Stephanie Holley, Alexandra Trannel, Alexandre Marra, William Etienne, Kyle Jenn, Oluchi Abosi, Holly Meacham, Lorinda Sheeler, Angie Dains, Mary Kukla, Paul McCray, Stanley Perlman, Bradley Ford, Daniel Diekema, Melanie Wellington, Alejandro Pezzulo, Jorge Salinas
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- Journal:
- Antimicrobial Stewardship & Healthcare Epidemiology / Volume 1 / Issue S1 / July 2021
- Published online by Cambridge University Press:
- 29 July 2021, p. s19
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Background: Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 RNA can be detected by real-time reverse-transcription polymerase chain reaction (RT-PCR) for several weeks after infection. Discerning persistent RT-PCR positivity versus reinfection is challenging and the frequency of COVID-19 reinfections is unknown. We aimed to determine the frequency of clinically suspected reinfection in our center and confirm reinfection using viral whole-genome sequencing (WGS). Methods: The University of Iowa Hospitals and Clinics (UIHC) is an 811-bed academic medical center. Patients with respiratory complaints undergo COVID-19 RT-PCR using nasopharyngeal swabs. The RT-PCR (TaqPath COVID-19 Combo kit) uses 3 targets (ORF1ab, S gene, and N gene). We identified patients with previous laboratory-confirmed COVID-19 who sought care for new respiratory complaints and underwent a repeated SARS-CoV-2 test at least 45 days from their first positive test. We then identified patients with median RT-PCR cycle threshold (Ct) values. Results: During the study period, 13,603 patients had a SARS-CoV-2– positive RT-PCR. Of these, 296 (2.2%) had a clinical visit for new onset of symptoms and a repeated RT-PCR assay >45 days from the first test. Moreover, 29 patients (9.8%) had a positive RT-PCR assay in the repeated testing. Ct values were available for samples from 25 patients; 7 (28%) had Ct values. Conclusions: In patients with a recent history of COVID-19 infection, repeated testing for respiratory symptoms was infrequent. Some had a SARS-CoV-2–positive RT-PCR assay on repeated testing, but only 1 in 4 had Ct values suggestive of a reinfection. We confirmed 1 case of reinfection using WGS.
Funding: No
Disclosures: None
Molecular epidemiology of large coronavirus disease 2019 (COVID-19) clusters before and after the implementation of routine serial testing at an academic medical center in Iowa, 2020
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- Miguel E. Ortiz, Takaaki Kobayashi, Katherine Imborek, Mohammed Alsuhaibani, Stephanie Holley, Alexandra Trannel, Alexandre R. Marra, William Etienne, Kyle E. Jenn, Oluchi J. Abosi, Holly Meacham, Lorinda Sheeler, Angelique Dains, Mary E. Kukla, Paul B. McCray, Jr, Stanley Perlman, Bradley Ford, Daniel J. Diekema, Melanie Wellington, Alejandro A. Pezzulo, Jorge L. Salinas
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- Journal:
- Infection Control & Hospital Epidemiology / Volume 42 / Issue 12 / December 2021
- Published online by Cambridge University Press:
- 24 June 2021, pp. 1514-1516
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- December 2021
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Chapter 11 - Psychosocial Treatment of Anxiety in Later Life
- Edited by Gerard J. Byrne, University of Queensland, Nancy A. Pachana, University of Queensland
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- Anxiety in Older People
- Published online:
- 08 March 2021
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- 25 March 2021, pp 173-188
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Summary
Evidence-based psychosocial treatments for late-life anxiety are promising. However, over half of older adults with anxiety do not seek treatment (Byers et al., 2012), and age differences in treatment response suggest that older adults with anxiety may not benefit from evidence-based treatments as much as their younger counterparts (Wetherell et al., 2013b). More work is needed to improve access and outcomes for this underserved population. This chapter provides an overview of available late-life anxiety psychosocial treatments with attention to both traditional efficacy trials and the development and testing of new models of care designed to improve reach, access, and outcomes.
Turnip Tolerance to Preplant Incorporated Trifluralin
- Sushila Chaudhari, Katherine M. Jennings, Stanley Culpepper, Roger B. Batts, Robin Bellinder
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- Journal:
- Weed Technology / Volume 33 / Issue 1 / February 2019
- Published online by Cambridge University Press:
- 04 December 2018, pp. 123-127
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Field research was conducted in 2012 and 2013 in Georgia, New York, and North Carolina to evaluate the effect of trifluralin PPI on turnip root production. Treatments included trifluralin PPI at 0, 0.42, 0.56, 0.84, 1.12, 1.68, 2.24, and 3.36 kg ai ha−1. Aboveground injury to turnip varied by location and increased from 0% to 85% as trifluralin rate increased from 0.42 to 3.36 kg ha−1. Trifluralin at 0.42 to 0.84 kg ha−1 caused ≤7% injury, except at Clayton, NC, and Freeville, NY, where injury ≤32%. Trifluralin at 0.42 to 0.84 kg ha−1 reduced turnip root yield ≤11% at all locations, except Clinton, NC, where yield was reduced 29% and 43% by 0.56 and 0.84 kg ha−1, respectively. Turnip roots were not injured internally by trifluralin. Our research results suggest that up to 0.84 kg ha−1 trifluralin PPI is safe to use in turnip roots.
Field Pea and Lentil Tolerance to Interrow Cultivation
- Katherine A. Stanley, Steven J. Shirtliffe, Dilshan Benaragama, Lena D. Syrovy, Hema S. N. Duddu
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- Journal:
- Weed Technology / Volume 32 / Issue 2 / April 2018
- Published online by Cambridge University Press:
- 02 November 2017, pp. 205-210
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Interrow cultivation is a selective, in-crop mechanical weed control tool that has the potential to control weeds later in the growing season with less crop damage compared with other in-crop mechanical weed control tools. To our knowledge, no previous research has been conducted on the tolerance of narrow-row crops to interrow cultivation. The objective of this experiment was to determine the tolerance of field pea and lentil to interrow cultivation. Replicated field experiments were conducted in Saskatchewan, Canada, in 2014 and 2015. Weekly cultivation treatments began at the 4-node stage of each crop, continuing for 6 wk. Field pea and lentil yield linearly declined with later crop stages of cultivation. Cultivating multiple times throughout the growing season reduced yield by 15% to 30% in both crops. Minimal yield loss occurred when interrow cultivation was conducted once at early growth stages of field pea and lentil; however, yield loss increased with delayed and more frequent cultivation events.
Sicklepod (Senna obtusifolia) Management in an ALS-Modified Soybean (Glycine max)
- A. Stanley Culpepper, Alan C. York, Roger B. Batts, Katherine M. Jennings
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- Journal:
- Weed Technology / Volume 11 / Issue 1 / March 1997
- Published online by Cambridge University Press:
- 12 June 2017, pp. 164-170
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Herbicide systems consisting of PRE, early POST, and late POST options arranged factorially were compared for control of sicklepod in narrow-row soybean with modified acetolactate synthase (ALS) (E.C.4.1.3.18). Other weeds present included common cocklebur and mixed infestations of entireleaf, ivyleaf, pitted, and tall morningglories. PRE options were alachlor or alachlor plus metribuzin plus chlorimuron. Early POST options included chlorimuron, chlorimuron plus thifensulfuron, and no herbicide applied 3 wk after planting. Late POST options were chlorimuron and no herbicide applied 5 wk after planting. POST herbicides were more effective than PRE herbicides on all weeds. Chlorimuron and chlorimuron plus thifensulfuron applied early POST were equally effective on these weeds and usually more effective than chlorimuron applied late POST. There was no advantage of two POST applications compared with a single early POST application. Greatest net returns were obtained in systems using only early POST herbicides. There was no economic advantage from using metribuzin plus chlorimuron PRE in systems that included an early POST herbicide.
Sicklepod (Senna obtusifolia) and Entireleaf Morningglory (Ipomoea hederacea var. integriuscula) Management in Soybean (Glycine max) with Flumetsulam
- Katherine M. Jennings, Alan C. York, Roger B. Batts, A. Stanley Culpepper
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- Journal:
- Weed Technology / Volume 11 / Issue 2 / June 1997
- Published online by Cambridge University Press:
- 12 June 2017, pp. 227-234
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Systems consisting of flumetsulam, metribuzin plus chlorimuron, or imazaquin applied PPI with trifluralin or PRE with metolachlor were compared with and without chlorimuron POST for control of sicklepod and entireleaf morningglory in narrow-row soybean at four locations. Control of sicklepod and entireleaf morningglory by soil-applied herbicides was generally inadequate. Control of sicklepod by flumetsulam exceeded control by metribuzin plus chlorimuron or imazaquin at one location. Entireleaf morningglory control by flumetsulam was similar to or less than control by metribuzin plus chlorimuron or imazaquin. Chlorimuron POST was a more important component of management systems for these weeds than was flumetsulam, metribuzin plus chlorimuron, or imazaquin PPI or PRE. Pooled over soil-applied herbicides, chlorimuron POST increased late-season control of sicklepod and entireleaf morningglory 25 to 61% and 22 to 54%, respectively; increased soybean yield 20 to 55%; decreased foreign matter contamination 5 to 13%; and increased net returns $34 to $185/ha. When used in conjunction with chlorimuron POST, flumetsulam, metribuzin plus chlorimuron, and imazaquin applied PPI with trifluralin or PRE with metolachlor increased late-season control of sicklepod and entireleaf morningglory only when control by trifluralin or metolachlor followed by chlorimuron POST was less than 66 and 77%, respectively.
Interaction of Bromoxynil and Postemergence Graminicides on Large Crabgrass (Digitaria sanguinalis)
- A. Stanley Culpepper, Alan C. York, Katherine M. Jennings, Roger B. Batts
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- Journal:
- Weed Technology / Volume 12 / Issue 3 / September 1998
- Published online by Cambridge University Press:
- 12 June 2017, pp. 554-559
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The effect of bromoxynil on large crabgrass control by clethodim, sethoxydim, fluazifop-P, fluazifop-P plus fenoxaprop-P, and quizalofop-P was evaluated in 1996 and 1997 in bromoxynil-tolerant cotton and in fallow areas. Bromoxynil at 560 g ai/ha reduced large crabgrass control 4 weeks after treatment (WAT) when mixed with labeled rates of fluazifop-P, fluazifop-P plus fenoxaprop-P, or quizalofop-P. Control 9 WAT was reduced when bromoxynil was mixed with any of the graminicides. Antagonism with the mixtures was greatest with quizalofop-P, intermediate with fluazifop-P plus fenoxaprop-P and fluazifop-P, and least with clethodim and sethoxydim. Increasing the graminicide rate 50% in mixtures with bromoxynil alleviated antagonism only for clethodim. No antagonism was noted 9 WAT when bromoxynil was applied 3 d before or 3 d after application of clethodim or sethoxydim or when bromoxynil was applied 3 d after fluazifop-P plus fenoxaprop-P. Antagonism was observed when bromoxynil was applied 3 d before fluazifop-P plus fenoxaprop-P or when applied 3 d before or 3 d after fluazifop-P and quizalofop-P. Regardless of bromoxynil application, greatest yields were obtained from cotton treated with clethodim or sethoxydim. Bromoxynil applied 3 d before or 3 d after clethodim, sethoxydim, or fluazifop-P plus fenoxaprop-P did not reduce yield. Yield was reduced when bromoxynil was applied 3 d before or 3 d after application of fluazifop-P or quizalofop-P and when bromoxynil was mixed with any graminicide.
Weed Management in Glufosinate- and Glyphosate-Resistant Soybean (Glycine max)
- A. Stanley Culpepper, Alan C. York, Roger B. Batts, Katherine M. Jennings
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- Journal:
- Weed Technology / Volume 14 / Issue 1 / March 2000
- Published online by Cambridge University Press:
- 20 January 2017, pp. 77-88
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An experiment was conducted at six locations in North Carolina to compare weed-management treatments using glufosinate postemergence (POST) in glufosinate-resistant soybean, glyphosate POST in glyphosate-resistant soybean, and imazaquin plus SAN 582 preemergence (PRE) followed by chlorimuron POST in nontransgenic soybean. Prickly sida and sicklepod were controlled similarly and 84 to 100% by glufosinate and glyphosate. Glyphosate controlled broadleaf signalgrass, fall panicum, goosegrass, rhizomatous johnsongrass, common lambsquarters, and smooth pigweed at least 90%. Control of these weeds by glyphosate often was greater than control by glufosinate. Mixing fomesafen with glufosinate increased control of these species except johnsongrass. Glufosinate often was more effective than glyphosate on entireleaf and tall morningglories. Fomesafen mixed with glyphosate increased morningglory control but reduced smooth pigweed control. Glufosinate or glyphosate applied sequentially or early postemergence (EPOST) following imazaquin plus SAN 582 PRE often were more effective than glufosinate or glyphosate applied only EPOST. Only rhizomatous johnsongrass was controlled more effectively by glufosinate or glyphosate treatments than by imazaquin plus SAN 582 PRE followed by chlorimuron POST. Yields and net returns with soil-applied herbicides only were often lower than total POST herbicide treatments. Sequential POST herbicide applications or soil-applied herbicides followed by POST herbicides were usually more effective economically than single POST herbicide applications.
Contributors
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- 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
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- Book:
- The Cambridge Dictionary of Philosophy
- Published online:
- 05 August 2015
- Print publication:
- 27 April 2015, pp ix-xxx
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- By Naila A. Ahmad, Dua M. Anderson, Jennifer Aunspaugh, Sabrina T. Bent, Adam Broussard, Staci Cameron, Rahul Dasgupta, Ravinder Devgun, Ofer N. Eytan, Sean H. Flack, Terry G. Fletcher, Charles James Fox, Mary Elise Fox, Scott Friedman, Louise K. Furukawa, Sonja Gennuso, Stanley M. Hall, Hani Hanna, Jacob Hummel, James E. Hunt, Ranu Jain, Joe R. Jansen, Deepa Kattail, Alan David Kaye, David J. Krodel, Gregory J. Latham, Sungeun Lee, Michael G. Levitzky, Alexander Y. Lin, Carl Lo, Hoa N. Luu, Camila Lyon, Kelly A. Machovec, Lizabeth D. Martin, Maria Matuszczak, Patrick S. McCarty, Brenda C. McClain, J. Grant McFadyen, Helen Nazareth, Dolores B. Njoku, Christina M. Pabelick, Shannon M. Peters, Amit Prabhakar, Michael Richards, Kasia Rubin, Joel A. Saltzman, Lisgelia Santana, Gabriel Sarah, Katherine Stammen, John Stork, Kim M. Strupp, Lalitha V. Sundararaman, Rosalie F. Tassone, Douglas R. Thompson, Nicole C. P. Thompson, Paul A. Tripi, Jacqueline L. Tutiven, Navyugjit Virk, Stacey Watt, B. Craig Weldon, Maria Zestus
- Edited by Alan David Kaye, Louisiana State University, Charles James Fox, Tulane University School of Medicine, Louisiana, James H. Diaz, Louisiana State University
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- Book:
- Essentials of Pediatric Anesthesiology
- Published online:
- 05 November 2014
- Print publication:
- 16 October 2014, pp ix-xii
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- By Michael H. Allen, Leora Amira, Victoria Arango, David W. Ayer, Helene Bach, Christopher R. Bailey, Ross J. Baldessarini, Kelsey Ball, Alan L. Berman, Marian E. Betz, Emily A. Biggs, R. Warwick Blood, Kathleen T. Brady, David A. Brent, Jeffrey A. Bridge, Gregory K. Brown, Anat Brunstein Klomek, A. Jacqueline Buchanan, Michelle J. Chandley, Tim Coffey, Jessica Coker, Yeates Conwell, Scott J. Crow, Collin L. Davidson, Yogesh Dwivedi, Stacey Espaillat, Jan Fawcett, Steven J. Garlow, Robert D. Gibbons, Catherine R. Glenn, Deborah Goebert, Erica Goldstein, Tina R. Goldstein, Madelyn S. Gould, Kelly L. Green, Alison M. Greene, Philip D. Harvey, Robert M. A. Hirschfeld, Donna Holland Barnes, Andres M. Kanner, Gary J. Kennedy, Stephen H. Koslow, Benoit Labonté, Alison M. Lake, William B. Lawson, Steve Leifman, Adam Lesser, Timothy W. Lineberry, Amanda L. McMillan, Herbert Y. Meltzer, Michael Craig Miller, Michael J. Miller, James A. Naifeh, Katharine J. Nelson, Charles B. Nemeroff, Alexander Neumeister, Matthew K. Nock, Jennifer H. Olson-Madden, Gregory A. Ordway, Michael W. Otto, Ghanshyam N. Pandey, Giampaolo Perna, Jane Pirkis, Kelly Posner, Anne Rohs, Pedro Ruiz, Molly Ryan, Alan F. Schatzberg, S. Charles Schulz, M. Katherine Shear, Morton M. Silverman, April R. Smith, Marcus Sokolowski, Barbara Stanley, Zachary N. Stowe, Sarah A. Struthers, Leonardo Tondo, Gustavo Turecki, Robert J. Ursano, Kimberly Van Orden, Anne C. Ward, Danuta Wasserman, Jerzy Wasserman, Melinda K. Westlund, Tracy K. Witte, Kseniya Yershova, Alexandra Zagoloff, Sidney Zisook
- Edited by Stephen H. Koslow, University of Miami, Pedro Ruiz, University of Miami, Charles B. Nemeroff, University of Miami
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- Book:
- A Concise Guide to Understanding Suicide
- Published online:
- 05 October 2014
- Print publication:
- 18 September 2014, pp vii-x
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Assessing neuropsychiatric symptoms in people with dementia: a systematic review of measures
- Laura N. Gitlin, Katherine A. Marx, Ian H. Stanley, Bryan R. Hansen, Kimberly S. Van Haitsma
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- Journal:
- International Psychogeriatrics / Volume 26 / Issue 11 / November 2014
- Published online by Cambridge University Press:
- 06 August 2014, pp. 1805-1848
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Background:
Neuropsychiatric symptoms (NPS) occur in people with dementia throughout disease course and across etiologies. NPS are associated with significant morbidities and hastened disease processes. Nevertheless, people with dementia are not systematically assessed for NPS in clinical settings. We review existing NPS measures for clinical and/or research purposes, and identify measurement gaps.
Methods:We conducted a computerized search of peer-reviewed published studies of measures (January 1, 1980–December 1, 2013) using multiple search terms. Measures selected for review were in English, had adequate psychometric properties, and were developed for or used with people with dementia. Papers describing measures were evaluated by three coders along seven characteristics: behavioral domains, number of items, method of administration, response categories, targeted population, setting, and psychometric properties.
Results:Overall, 2,233 papers were identified through search terms, and 36 papers from manual searches of references. From 2,269 papers, 85 measures were identified of which 45 (52.9%) had adequate psychometric properties and were developed or used with dementia populations. Of these, 16 (35.6%) were general measures that included a wide range of behaviors; 29 (64.4%) targeted specific behaviors (e.g. agitation). Measures differed widely as to behaviors assessed and measurement properties.
Conclusions:A robust set of diverse measures exists for assessing NPS in different settings. No measures identify risk factors for behaviors or enable an evaluation of the context in which behaviors occur. To improve clinical efforts, research is needed to evaluate concordance of behavioral ratings between formal and informal caregivers, and to develop and test measures that can identify known risks for behaviors and the circumstances under which behaviors occur.
Contributors
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- By J. Todd Arnedt, Sharon Aronovich, Alon Y. Avidan, Alp Sinan Baran, Johnathan Barkham, Lizabeth Binns, Tiffany J. Braley, Devin Brown, Paul R. Carney, Philip Cheng, Ronald D. Chervin, Naricha Chirakalwasan, Wattanachai Chotinaiwattarakul, Deirdre A. Conroy, Charles R. Davies, Dawn Dore-Stites, Alan S. Eiser, Todd Favorite, Barbara T. Felt, James D. Geyer, Jennifer R. Goldschmied, Cathy A. Goldstein, John J. Harrington, Fauziya Hassan, Judith L. Heidebrink, Joseph I. Helman, Shelley Hershner, Timothy F. Hoban, Edward D. Huntley, Rahul K. Kakkar, Douglas Kirsch, Raman K. Malhotra, Beth A. Malow, Lauren O’Connell, Shalini Paruthi, Meredith D. Peters, Scott M. Pickett, Satya Krishna Ramachandran, Fouad Reda, Daniel I. Rifkin, Emerson Robinson, Helena M. Schotland, Q. Afifa Shamim-Uzzaman, Anita Valanju Shelgikar, Renée A. Shellhaas, Jeffrey J. Stanley, Leslie M. Swanson, Mihai C. Teodorescu, Mihai C. Teodorescu, Sheila C. Tsai, Katherine Wilson, Michael E. Yurcheshen, Sarah Nath Zallek
- Edited by Ronald D. Chervin
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- Book:
- Common Pitfalls in Sleep Medicine
- Published online:
- 05 April 2014
- Print publication:
- 10 April 2014, pp x-xiv
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Contributors
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- By Robert C. Basner, Carl Bazil, Lee J. Brooks, Sean M. Caples, Kelly A. Carden, Ronald D. Chervin, Christopher Cielo, David G. Davila, Katherine A. Dudley, Judy Fetterolf, W. Ward Flemons, Neil Freedman, Christian Guilleminault, Fauziya Hassan, Shelley Hershner, David M. Hiestand, Mithri Junna, Kristen Kelly-Pieper, Douglas Kirsch, Brian B. Koo, Carin Lamm, Raman Malhotra, Meghna P. Mansukhani, Carole L. Marcus, B. Marshall, Jean K. Matheson, Timothy I. Morgenthaler, Gökhan M. Mutlu, Irina Ok, Vidya Pai, Winnie C. Pao, Sairam Parthasarathy, Shalini Paruthi, Nimesh Patel, Sachin R. Pendharkar, Ravi K. Persaud, Bharati Prasad, Stuart F. Quan, Satish C. Rao, Patti Reed, Alcibiades Rodriguez, Dennis Rosen, Vijay Seelall, Anita Valanju Shelgikar, Jeffrey J. Stanley, Kingman Strohl, Shannon S. Sullivan, Kevin A. Thomas, Robert Thomas, John R. Wheatley, Lisa Wolfe, Peter J.-C. Wu, Motoo Yamauchi
- Edited by Robert C. Basner
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- Book:
- Case Studies in Polysomnography Interpretation
- Published online:
- 05 August 2015
- Print publication:
- 18 October 2012, pp x-xii
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Offender Risk and Needs Assessment: Some Current Issues and Suggestions
- Mitchell K. Byrne, Stuart Byrne, Katherine Hillman, Emma Stanley
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- Journal:
- Behaviour Change / Volume 18 / Issue 1 / 01 April 2001
- Published online by Cambridge University Press:
- 22 February 2012, pp. 18-27
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Crime impacts upon the community at multiple levels, causing distress and loss for the victims, and feelings of insecurity for the public, as well as adding to the drain on financial resources for governments. This makes the accurate identification of risk of reoffending and the determination of efficacious rehabilitation strategies imperative. Key principles in cognitive and behavioural psychology can contribute to this task. This paper will review the issue of risk assessment and describe the applicability of functional analysis to forensic psychology. Two studies by the authors will be used to illustrate concepts raised in this review. The paper will conclude with a model that may help guide the realistic implementation of detailed individual functional analyses of offenders' behaviour.
Part IV - Roles and Positions
- Stanley Wasserman, University of Illinois, Urbana-Champaign, Katherine Faust, University of South Carolina
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- Book:
- Social Network Analysis
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- 05 June 2012
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- 25 November 1994, pp 345-346
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5 - Centrality and Prestige
- from Part III - Structural and Locational Properties
- Stanley Wasserman, University of Illinois, Urbana-Champaign, Katherine Faust, University of South Carolina
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- Book:
- Social Network Analysis
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- 05 June 2012
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- 25 November 1994, pp 169-219
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Summary
One of the primary uses of graph theory in social network analysis is the identification of the “most important” actors in a social network. In this chapter, we present and discuss a variety of measures designed to highlight the differences between important and non-important actors. Definitions of importance, or synonymously, prominence, have been offered by many writers. All such measures attempt to describe and measure properties of “actor location” in a social network. Actors who are the most important or the most prominent are usually located in strategic locations within the network. As far back as Moreno (1934), researchers have attempted to quantify the notions of sociometric “stars” and “isolates.”
We will discuss the most noteworthy and substantively interesting definitions of importance or prominence along with the mathematical concepts that the various definitions have spawned. Among the definitions that we will discuss in this chapter are those based on degree, closeness, betweenness, information, and simply the differential status or rank of the actors.
These definitions yield actor indices which attempt to quantify the prominence of an individual actor embedded in a network. The actor indices can also be aggregated across actors to obtain a single, group-level index which summarizes how variable or differentiated the set of actors is as a whole with respect to a given measure. We will show how to calculate both actor and group indices in this chapter.
12 - Network Positions and Roles'
- from Part IV - Roles and Positions
- Stanley Wasserman, University of Illinois, Urbana-Champaign, Katherine Faust, University of South Carolina
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- Book:
- Social Network Analysis
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- 05 June 2012
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- 25 November 1994, pp 461-502
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Summary
In this chapter we continue our discussion of methods for studying social network positions and roles. Referring to Figure 9.1, which presented an overview of positional and role analysis in terms of whether the major task was “grouping” relations or “grouping” actors, the methods in this chapter primarily have the goal of “grouping” actors. Such a classification gives rise to a partition of actors into positions. However, several of the methods that we discuss at the end of this chapter consider similarities among relations as a way to determine which actors should be grouped together. Specifically, these methods present alternative ways to classify actors based on their sharing of patterns or types of ties. Since positions of actors are defined in terms of patterns or types of ties, we will also consider associations among relations, and thus network roles.
We can also use the list of four tasks in a positional analysis that we presented in Chapter 9 to organize the topics in this chapter. This chapter is primarily concerned with the first and second tasks: defining equivalences and measuring how closely subsets of actors adhere to these definitions.
The methods we discuss in this chapter focus on roles for individual actors. Individual roles are descriptions of the network, including similarities among actors, and associations among relations, from the perspectives of individual actors. In Chapter 11 we presented methods for describing the role structure of an entire group and for comparing the role structures from different groups, without reference to the individual actors.
10 - Blockmodels
- from Part IV - Roles and Positions
- Stanley Wasserman, University of Illinois, Urbana-Champaign, Katherine Faust, University of South Carolina
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- Book:
- Social Network Analysis
- Published online:
- 05 June 2012
- Print publication:
- 25 November 1994, pp 394-424
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Summary
In the previous chapter we discussed how the formal property of structural equivalence could be used to define a partition of actors in a social network into equivalence classes, called positions. Each position contains actors who relate in similar ways to and from other actors in the network. In this chapter we examine how to model the relationships among these positions. Our emphasis is on how to interpret the results of a positional analysis when the results are presented as a blockmodel. The methods in this chapter are primarily descriptive and focus on properties of subsets of actors. Stochastic blockmodels are discussed in Chapter 16 along with statistical methods for assessing the goodness-of-fit of a given blockmodel. Related methods that focus on associations among relations rather than on subsets of actors are presented in Chapter 11.
We begin by defining and illustrating the concept of a blockmodel. We then show how blockmodels can be used to model network positional systems. The most interesting and useful features of blockmodels are their theoretical interpretations, their potential for validating structural theories, and their usefulness for comparing structural patterns across populations.
Blockmodels were introduced by White, Boorman, and Breiger (1976) for the descriptive algebraic analysis of social roles.