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  1. 69401
  2. 69402
    “…An automatic method was used to measure the intervals between succeeding strokes and to count strokes within a drumming roll. …”
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  3. 69403
  4. 69404
    “…We used slow velocity stroking (CT optimal stroking) with a soft brush to induce pleasant touch, and fast velocity stroking as a control condition. …”
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  5. 69405
    por Chambers, David, Simpson, Lisa, Hill-Briggs, Felicia, Neta, Gila, Vinson, Cynthia, Chambers, David, Beidas, Rinad, Marcus, Steven, Aarons, Gregory, Hoagwood, Kimberly, Schoenwald, Sonja, Evans, Arthur, Hurford, Matthew, Rubin, Ronnie, Hadley, Trevor, Barg, Frances, Walsh, Lucia, Adams, Danielle, Mandell, David, Martin, Lindsey, Mignogna, Joseph, Mott, Juliette, Hundt, Natalie, Kauth, Michael, Kunik, Mark, Naik, Aanand, Cully, Jeffrey, McGuire, Alan, White, Dominique, Bartholomew, Tom, McGrew, John, Luther, Lauren, Rollins, Angie, Salyers, Michelle, Cooper, Brittany, Funaiole, Angie, Richards, Julie, Lee, Amy, Lapham, Gwen, Caldeiro, Ryan, Lozano, Paula, Gildred, Tory, Achtmeyer, Carol, Ludman, Evette, Addis, Megan, Marx, Larry, Bradley, Katharine, VanDeinse, Tonya, Wilson, Amy Blank, Stacey, Burgin, Powell, Byron, Bunger, Alicia, Cuddeback, Gary, Barnett, Miya, Stadnick, Nicole, Brookman-Frazee, Lauren, Lau, Anna, Dorsey, Shannon, Pullmann, Michael, Mitchell, Shannon, Schwartz, Robert, Kirk, Arethusa, Dusek, Kristi, Oros, Marla, Hosler, Colleen, Gryczynski, Jan, Barbosa, Carolina, Dunlap, Laura, Lounsbury, David, O’Grady, Kevin, Brown, Barry, Damschroder, Laura, Waltz, Thomas, Powell, Byron, Ritchie, Mona, Waltz, Thomas, Atkins, David, Imel, Zac E., Xiao, Bo, Can, Doğan, Georgiou, Panayiotis, Narayanan, Shrikanth, Berkel, Cady, Gallo, Carlos, Sandler, Irwin, Brown, C. Hendricks, Wolchik, Sharlene, Mauricio, Anne Marie, Gallo, Carlos, Brown, C. Hendricks, Mehrotra, Sanjay, Chandurkar, Dharmendra, Bora, Siddhartha, Das, Arup, Tripathi, Anand, Saggurti, Niranjan, Raj, Anita, Hughes, Eric, Jacobs, Brian, Kirkendall, Eric, Loeb, Danielle, Trinkley, Katy, Yang, Michael, Sprowell, Andrew, Nease, Donald, Lyon, Aaron, Lewis, Cara, Boyd, Meredith, Melvin, Abigail, Nicodimos, Semret, Liu, Freda, Jungbluth, Nathanial, Lyon, Aaron, Lewis, Cara, Boyd, Meredith, Melvin, Abigail, Nicodimos, Semret, Liu, Freda, Jungbluth, Nathanial, Flynn, Allen, Landis-Lewis, Zach, Sales, Anne, Baloh, Jure, Ward, Marcia, Zhu, Xi, Bennett, Ian, Unutzer, Jurgen, Mao, Johnny, Proctor, Enola, Vredevoogd, Mindy, Chan, Ya-Fen, Williams, Nathaniel, Green, Phillip, Bernstein, Steven, Rosner, June-Marie, DeWitt, Michelle, Tetrault, Jeanette, Dziura, James, Hsiao, Allen, Sussman, Scott, O’Connor, Patrick, Toll, Benjamin, Jones, Michael, Gassaway, Julie, Tobin, Jonathan, Zatzick, Douglas, Bradbury, Angela R., Patrick-Miller, Linda, Egleston, Brian, Olopade, Olufunmilayo I., Hall, Michael J., Daly, Mary B., Fleisher, Linda, Grana, Generosa, Ganschow, Pamela, Fetzer, Dominique, Brandt, Amanda, Farengo-Clark, Dana, Forman, Andrea, Gaber, Rikki S., Gulden, Cassandra, Horte, Janice, Long, Jessica, Chambers, Rachelle Lorenz, Lucas, Terra, Madaan, Shreshtha, Mattie, Kristin, McKenna, Danielle, Montgomery, Susan, Nielsen, Sarah, Powers, Jacquelyn, Rainey, Kim, Rybak, Christina, Savage, Michelle, Seelaus, Christina, Stoll, Jessica, Stopfer, Jill, Yao, Shirley, Domchek, Susan, Hahn, Erin, Munoz-Plaza, Corrine, Wang, Jianjin, Delgadillo, Jazmine Garcia, Mittman, Brian, Gould, Michael, Liang, Shuting (Lily), Kegler, Michelle C., Cotter, Megan, Phillips, Emily, Hermstad, April, Morton, Rentonia, Beasley, Derrick, Martinez, Jeremy, Riehman, Kara, Gustafson, David, Marsch, Lisa, Mares, Louise, Quanbeck, Andrew, McTavish, Fiona, McDowell, Helene, Brown, Randall, Thomas, Chantelle, Glass, Joseph, Isham, Joseph, Shah, Dhavan, Liebschutz, Jane, Lasser, Karen, Watkins, Katherine, Ober, Allison, Hunter, Sarah, Lamp, Karen, Ewing, Brett, Iwelunmor, Juliet, Gyamfi, Joyce, Blackstone, Sarah, Quakyi, Nana Kofi, Plange-Rhule, Jacob, Ogedegbe, Gbenga, Kumar, Pritika, Van Devanter, Nancy, Nguyen, Nam, Nguyen, Linh, Nguyen, Trang, Phuong, Nguyet, Shelley, Donna, Rudge, Sian, Langlois, Etienne, Tricco, Andrea, Ball, Sherry, Lambert-Kerzner, Anne, Sulc, Christine, Simmons, Carol, Shell-Boyd, Jeneen, Oestreich, Taryn, O’Connor, Ashley, Neely, Emily, McCreight, Marina, Labebue, Amy, DiFiore, Doreen, Brostow, Diana, Ho, P. Michael, Aron, David, Harvey, Jillian, McHugh, Megan, Scanlon, Dennis, Lee, Rebecca, Soltero, Erica, Parker, Nathan, McNeill, Lorna, Ledoux, Tracey, McIsaac, Jessie-Lee, MacLeod, Kate, Ata, Nicole, Jarvis, Sherry, Kirk, Sara, Purtle, Jonathan, Dodson, Elizabeth, Brownson, Ross, Mittman, Brian, Curran, Geoffrey, Curran, Geoffrey, Pyne, Jeffrey, Aarons, Gregory, Ehrhart, Mark, Torres, Elisa, Miech, Edward, Miech, Edward, Stevens, Kathleen, Hamilton, Alison, Cohen, Deborah, Padgett, Deborah, Morshed, Alexandra, Patel, Rupa, Prusaczyk, Beth, Aron, David C., Gupta, Divya, Ball, Sherry, Hand, Rosa, Abram, Jenica, Wolfram, Taylor, Hastings, Molly, Moreland-Russell, Sarah, Tabak, Rachel, Ramsey, Alex, Baumann, Ana, Kryzer, Emily, Montgomery, Katherine, Lewis, Ericka, Padek, Margaret, Powell, Byron, Brownson, Ross, Mamaril, Cezar Brian, Mays, Glen, Branham, Keith, Timsina, Lava, Mays, Glen, Hogg, Rachel, Fagan, Abigail, Shapiro, Valerie, Brown, Eric, Haggerty, Kevin, Hawkins, David, Oesterle, Sabrina, Hawkins, David, Catalano, Richard, McKay, Virginia, Dolcini, M. Margaret, Hoffer, Lee, Moin, Tannaz, Li, Jinnan, Duru, O. Kenrik, Ettner, Susan, Turk, Norman, Chan, Charles, Keckhafer, Abigail, Luchs, Robert, Ho, Sam, Mangione, Carol, Selby, Peter, Zawertailo, Laurie, Minian, Nadia, Balliunas, Dolly, Dragonetti, Rosa, Hussain, Sarwar, Lecce, Julia, Chinman, Matthew, Acosta, Joie, Ebener, Patricia, Malone, Patrick S., Slaughter, Mary, Freedman, Darcy, Flocke, Susan, Lee, Eunlye, Matlack, Kristen, Trapl, Erika, Ohri-Vachaspati, Punam, Taggart, Morgan, Borawski, Elaine, Parrish, Amanda, Harris, Jeffrey, Kohn, Marlana, Hammerback, Kristen, McMillan, Becca, Hannon, Peggy, Swindle, Taren, Curran, Geoffrey, Whiteside-Mansell, Leanne, Ward, Wendy, Holt, Cheryl, Santos, Sheri Lou, Tagai, Erin, Scheirer, Mary Ann, Carter, Roxanne, Bowie, Janice, Haider, Muhiuddin, Slade, Jimmie, Wang, Min Qi, Masica, Andrew, Ogola, Gerald, Berryman, Candice, Richter, Kathleen, Shelton, Rachel, Jandorf, Lina, Erwin, Deborah, Truong, Khoa, Javier, Joyce R., Coffey, Dean, Schrager, Sheree M., Palinkas, Lawrence, Miranda, Jeanne, Johnson, Veda, Hutcherson, Valerie, Ellis, Ruth, Kharmats, Anna, Marshall-King, Sandra, LaPradd, Monica, Fonseca-Becker, Fannie, Kepka, Deanna, Bodson, Julia, Warner, Echo, Fowler, Brynn, Shenkman, Elizabeth, Hogan, William, Odedina, Folakami, De Leon, Jessica, Hooper, Monica, Carrasquillo, Olveen, Reams, Renee, Hurt, Myra, Smith, Steven, Szapocznik, Jose, Nelson, David, Mandal, Prabir, Teufel, James
    Publicado 2016
    “…Michael Ho, David Aron S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study Jillian Harvey, Megan McHugh, Dennis Scanlon S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE) Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues Jonathan Purtle, Elizabeth Dodson, Ross Brownson S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs Brian Mittman, Geoffrey Curran S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs Geoffrey Curran S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs Jeffrey Pyne S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes Gregory Aarons, Mark Ehrhart, Elisa Torres S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care Edward Miech S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care Edward Miech S51 A research network approach for boosting implementation and improvement Kathleen Stevens, I.S.R.N. …”
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  6. 69406
    “…Here, we show that the RTI is enhanced in both sexes of mice by repetitive synchronous stroking comprised of correlated visual and tactile stimulation of real and rubber tails compared to visual-only mimicked stroking conducted without tactile stimulation. …”
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  7. 69407
    “…Long rallies were established using a two-step cluster model based on rally time and number of strokes for male (13-79s, 14–72 strokes) and female players (11-56s, 11–52 strokes). …”
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  8. 69408
    “…Recently, computer vision and machine learning techniques have gained attention as potential tools to predict cricket strokes played by batters. This study presents a cutting-edge approach to predicting batsman strokes using computer vision and machine learning. …”
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  9. 69409
    por Sailer, Uta, Ackerley, Rochelle
    Publicado 2017
    “…These individuals did not differentiate pleasantness over the stroking velocities in the same way as the control group. …”
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  10. 69410
    “…Tongue pressure was significantly related to the chewing time and the number of chewing strokes (p = 0.01 and 0.03). There was a close association between chewing time and the number of chewing strokes (p < 0.0001). …”
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  11. 69411
    “…Vibration and skin stroking activated areas in the posterior, middle and anterior insula. …”
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  12. 69412
    “…Items for two dimensions, one for stroking behavior and one for holding behavior, could be identified as meeting many of the criteria required for Mokken scales in the United Kingdom, only the stroking scale met these criteria in the sample from India. …”
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  13. 69413
    “…Young adult (18–28 years) and older adult (65+ years) participants read sentences that included one of a pair of two-character target words matched for lexical frequency and contextual predictability, but composed of either high-complexity (>9 strokes) or low-complexity (≤7 strokes) characters. …”
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  14. 69414
    “…As expected, participants rated CT-targeted touch as more pleasant compared to the two non-CT optimal stroking touch at all body sites. Regardless of stroking velocity, touch applied to the abdomen elicited the lowest pleasantness ratings. …”
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  15. 69415
    “…The aim of this study was to compare the non-linear properties of the four competitive swim strokes. Sixty-eight swimmers performed a set of maximal 4 × 25 m using the four competitive swim strokes. …”
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  16. 69416
    “…PURPOSE: To characterize the masticatory function of the elderly and to compare total amount of time, masticatory strokes and total mastication score among the elderly and young adults. …”
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  17. 69417
  18. 69418
  19. 69419
    “…Thrombocytosis, hypercoagulable state, and hypoxia secondary to anemia are some of the mechanisms that are thought to cause strokes in patients with iron deficiency anemia (IDA). …”
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  20. 69420
    “…Therefore, 43% of verified MIs and 21% of verified strokes were not reported to investigators. For non-adjudicated discharge codes, 10% of MIs and 22% of strokes were not verified after adjudication. …”
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