970 resultados para Bass Dicentrarchus-labrax


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Back Row: student manager David Muir, trainer James Hunt, Tom Stincic, Gerald Miklos, Jon Kramer, Roger Rosema, Dave Porter, Warren Sipp

4th Row: Ernest Sharpe, Ron Johnson, Peter Mair, Robert Wedge, John Reynolds, Paul D'Eramo, Dick Vidmer, Jerald Hartman, namager?

3rd Row: Stan Kemp, Derrick Humphries, Rick Volk, Ray Phillips, Tom Goss, Jerry Danhof, Jim Detwiler, Thomas Landsittel, Richard Williamson, Dennis Morgan

2nd Row: Louis Lee, Barry Dehlin, David Fisher, Clayt Wilhite, Mike Bass, Henry Hanna, James Hribal, Kenneth Wright, John Buzynski, Robert Mielke, Rick Sygarfirst row: William Hardy, John Rowser, Frank Nunley, Fritz Crisler, captain Jack Clancy, coach Chalmers (Bump) Elliott, Joe Dayton, Don Bailey, Carl Ward

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8th Row: Larry Martin, Phil Johnson, Paul Schmidt, Kevin Tolbert, Mike Gittleson, Mark Elder, Sam Sword, Ron English, Steve Stripling, Jim Herrmann, Scott Draper, Fred Jackson, Terry Malone, Andy Moeller, Erik Campbell, Scot Loeffler, Mike Debord, Terry Heffernan, Brad Labadie, Phil Bromley, Jon Falk.

7th Row: Ryan Krach, Dr. C. Daniel Hendrickson, Vahan Agbabian, Eric Boso, Andy Lewandowski, Brad Rosenwasser, Gene Skidmore, Jim Schneider, Dave Ablauf, Kevin Undeen, Brent Pantaleo, Dan Cetnar, Kyle Zink, Rick Brandt, Bob Bland.

6th Row: Eric Van Beek, Tim North, Brandon Harrison, Mister Simpson, Brandon Logan, Antonio Bass, Eugene Germany, David Moosman, Tim McAvoy, Cory Zirbel, Laterryal Savoy, Carson Butler, Andre Criswell, Jason Former, Mario Manningham, Chris Richards, Kevin Norris, Ohene Opong Owusu, Matt McCay, Ben Wright

5th Row: Jason Eldridge, Kevin Grady, James Bloomsburgh, Kyle Plummer, Terrance Taylor, Sean Griffin, Kyle Myers, Chris McLaurin, Justin Schifano, Mark Ortmann, Jon Saigh, Zoltan Mesko, Johnny Sears, James Mckinney, Tyrone Jordan, James Logan, Landon Smith, Craig Moore.

4th Row: Doug Dutch, Morgan Trent, Mark Spencer, Dan Moore, Charles Stewart, Chip Cartwright, Turner Booth, Brent Gallimore, Jeremy Ciulla, Grant Debenedictis, Alex Mitchell, Will Johnson, Tim Jamison, Mike Massey, Max Pollock, Ross Ryan, Marques Walton, John Thompson, Mike Carl

3rd Row: Garrett Rivas, Mike Hart, Chris Graham, Chad Henne, Adrian Arrington, Jeff Kastl, Brad Cischke, Pat Sharrow, Adam Kraus, Jake Long, Alan Branch, Will Paul, Paul Sarantos, Matt Wilde, Jamar Adams, Max Martin, Brandent Englemon, Anton Campbell, B.J. Opong Owusu.

2nd Row: Alijah Bradley, Darnell Hood, Ryan Mundy, Steve Breaston, Carl Tabb, LaMarr Woodley, Matt Gutierrez, Shawn Crable, Mike Kolodziej, Tyler Ecker, Jeremy Van Alstyne, Rondell Biggs, Prescott Burgess, Mark Bihl, Willis Barringer, Obi Oluigbo, Leon Hall, Jerome 'Jackson.

Front Row: Jason Avant, Brian Thompson, Dave Harris, Scott Mcclintock, Gabe Watson, Matt Lentz, Pat Massey, Lloyd Carr, Tim Massaquoi, Pierre Woods, Adam Stenavich, Leo Henige, Rueben Riley, David Schoonover, Grant Mason.

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Front Row: Bill Yearby, Bill Keating, Arnie Simkus, Rick Sygar, captain Jim Conley, Rick Volk, Rich Hahn

2nd Row: Bob Timberlake, JIm Detwiler, Carl Ward, John Marcum, Brian Patchen, Dave Butler, Charles Kines, Ben Farabee

3rd Row: Dick Rindfuss, Dave Fisher, Forest Evashevski, Wally Gabler, Steve Smith, Craig Kirby, Bill Muir, Gerald Mader, Tom Cecchini

4th Row: Bill Laksey, Don Bailey, Dick Wells, Barry Dehlin, Clayton Wilhite, Bob Mielke, Ken Wright, Tom Haverstock

5th Row: Tom Parkhill, Jeff Houne, GArcy Schick, Mike Bass, Stan Kemp, Louis Lee, Dennis Flanagan, Charles Ruzicka

Missing: Mel Anthony, Tom Mack, John Henderson

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Top Row: Cathy Agree, Carol Bass, Nancy Bernadic, Barbara Bettman, Wendy Bittker, Judy Brown, Barbara Cassavoy, Nacy Cohen, Julie Coon, Mary Dawson, Susanne Dean, Barbara Diebolt, Joan Dzenowagis

Row 2: Donna Dziyba, Marla Erbin, Frederick Fiedler, Megan Forester, Lynn Babington, Keverne Popma, Barbara Cloutier, Catherine Doele, Barbara DeBenham, Alta Gaines, Susan Grant, Edward Greca, Pamela Griesbach

Row 3: Karen Haske, Janis Harris, Cherisse Hoffman, Wendy Jelinek, Judy Jenks, Barb Kakenmaster, Karen Kitchen, Kay Klass

Row 4: Kathryn Laing, Rachel Lapinski, Cheryl Marinett, Marta Monroe, Jackie Mrlik, Susan Mulkiten, Michele Olzack, Carol Osborn

Row 5: Deborah Parker, Linnae Pierskalla, Mary Prather, Terry Proctor, Karen Rech, Nancy reddaway, Nancy Reynolds, Mary Ridley

Row 6: Catherine Rhodes, Patricia Roggenbeck, Barbara Ruppal, Victoria Russum, Suzanne Sanders, Elizabeth Saviano, Diane Scarpace, Nola Schramm, Paula Schroeder, Carolyn Schroth, Barbara Scott

Row 7: Deborah Scullon, Denise Shough, Belvayuna Simpson, Joyce Smith, Barbara Stang, Elizabeth Sullivan, Molly thibault, Debbie Varney, Margaret Walters, Desiree White, Janice Winfree, Meg Williams, Nancy Zuelch

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Top Row: Jessica M. Adair, Casey Arnett, Amy Lynn Babchek, Mary E. Bartlett, Rhonda Bass, Nancy Bidlack, Heather Bjerke, Stacy Bodrie, Dana Boonstra, Kellu Bowers, Pamela Bowser, Rachel L. Bradley, Michele Brotherton, Stacie Buckler, Hope Bufkin

Row 2: Saran Burnley, Jennifer Caraan, Barbara Carpenter, Nutrena Helene Watts, Aimee Schuman, Debra Jameson, Jennifer Jennings, Mary Cassette, Nikki Burns, Lisa Multhaupt, Jeffrey M. Adams, Christine Hepner, Julie Chamberlain, Andy Chan, Jennifer Choike

Row 3: Heather Chrisman, Abbey C. Clark, Renita Cobb, Amy Cotton, Cattleya Crossen, Kimberly Curl, Christy Debolt, Patricia DeLamielleure, Jennifer Dyer, Lisa L. Eliasom, Patricia Fowler Faling, Rita Fallone

Row 4: Richard Fisher, Rebecca J. Forbes, Tiffany Fowler, Karen R. Fritz, Debbie M. Fulton, Michelle J. Gaskill, Ellen M. Gavin, Emily Golin, Umeika Makita Griffith, Lydia D. Hampton, Natalie Michele Hoffman, Julie Holbird

Row 5: Kathryn A. Huffman, Tara Lynn Humphrey, Nicole Jaccques, Michelle C. Johnson, Bryan Wayne Kerridge, Violet H. Barkauskas, Beverly Jones, Ada Sue Hinshaw, Nola Pender, Susan Boehm, Noelle Kirouac, Sarah Kohn, Sherri Krajenta, Brian Kubinski, Stephanie L. Kuczera

Row 6: Heather Lange, Sang Hee Lee, Soya Lee, Natalie Lehrer, Kimberly Lilley, Elizabeth A. Lundy, Darcey Lutz-Guenther, Michelle J. Malicsi, Dawn Marteeny, Sheila Mendiola, Sharon Mitchell, Caryl S. Molton, Colette Montilla, Celeste Montone-Horne, Emily T. Mooney, Naima Moore

Row 7: Kami Nobis, Thresa M. Nugent, Michelle Ober, Nisha Patel, Stephanie Perrett, Holly Powers, Julie L. Pryor, Elizabeth K. Rachubinski, Anne Rammelkamp, Kathy Rarog, Erin Richards, Amy Roehrig, Catherine Ann Rosloniec, Tansey Rosset, Kimberly Sanders, Marla Sands, James C. Sausser

Row 8: Juana Sebree, Erin J. Showers, Prabhjyot Singh, Lynn Sinkel, Nicole LaDon Smith, Nicole M. Speck, Mickie Speers, Krista Stapleton, Karon Starr, Elizabeth Studley, Janice Brenda Supena, Rashelle Talbert,Kimberly Tocco, Edda Toting, Lisa Uren, Lori VanBergen

Row 9: Lisa VanStratton, kathleen Veenstra, Kristen Venadam, Rhonda E. Walkowe, Ching-Ru Bonny Wang, Deborah Webb, Ruthann Clausen Weiss, Debra R. White, Rochelle Whiteman, Tara Wilson, Jessica Wise, Sheryl Woloskie, Denice Annette Zakalata, Rebecca S. Zeiler

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Part for cantus and piano and part for other voices on confronting pages; bass parts figured.

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Flamenco guitarist Paco de Lucía, taking advantage of the ongoing cultural revolution in Spain during the seventies decided to break from tradition by shaping ”Nuevo Flamenco” through flamenco-jazz ensemble ”Paco de Lucía Sextet”. Within its repertoire, the first regular flamenco bass-line: ”Monasterio de Sal”. Electrical bassist Carles Benavent would have a key role in this development, a trait seldom found in academical works of musicology. The aim of the present thesis is to partially fill this void while shedding some light on the revolutionary contributions of Benavent. In order to do so, studying relevant literature, listening to phonograms comparatively, transcribing/analyzing ”Monasterio de Sal” and interviewing Mr. Benavent himself were used as main methods. The conclusion has been drawn that there was barely any electrical bass in flamenco before Benavent and that his work with de Lucía (and later others) would entirely reform the way electric bass was perceived from within and outside this genre of music. It is of no less interest to observe that Benavents main influences for this endeavor were the principal figures of contemporary jazz-bass (Jaco Pastorius) and flamenco-guitar (Paco de Lucía) respectively, infusing ”Monasterio de Sal”, with meaningful historical value.

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Males of the eastern mosquito fish (Gambusia holbrooki) possess one of the widest reproductively active temperature ranges for any ectotherm, ranging across seasons from at least 18degreesC to 34degreesC. In this study, we tested the ability of male G. holbrooki to acclimate their sustained swimming performance following long-term exposure to 18degreesC or 30degreesC. We also investigated some of the possible physiological mechanisms associated with thermal acclimation responses in swimming performance, including changes in slow muscle fibre size and abundance and the expression of myosin heavy chains (MyHC). We found that U-crit, of 18degreesC-acclimated G. holbrooki was 20% greater at 18degreesC than 30degreesC-acclimated fish, and the Ucrit of the 30degreesC-acclimated group was more than 15% greater at 30degreesC. Slow, fast and intermediate muscle fibres were identified on the basis of their myosin ATPase staining reaction. Although the number of slow and intermediate muscle fibres was similar between groups, the total cross-sectional area of aerobic fibre types was 40% greater in 18degrees-than 30degreesC-acclimated fish, reflecting an increase in the average fibre diameter. An S58 antibody raised against chicken slow skeletal muscle myosin stained a sub-set of the slow fibres identified by myosin ATPase staining. The number of S58-positive muscle fibres was 50% greater in 30degreesC-than 18degreesC-acclimated fish, implying that different MyHCs are being expressed in cold and warm acclimated individuals. Given the sexually coercive mating system of this species, increases in the sustained swimming performance via thermal acclimation may benefit the ability of males to maintain a high rate of sneaky copulations. (C) 2004 Elsevier Ltd. All rights reserved.

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Statistics is known to be an art as well as a science. The training of mathematical physicists predisposes them towards hypothesising plausible Bayesean priors. Tony Bracken and I were of that mind [1], but in our discussions we also recognised the Bayesean will-o'-the-wisp illustrated below.

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Background: There is some evidence from a Cochrane review that rehabilitation following spinal surgery may be beneficial. Methods: We conducted a survey of current post-operative practice amongst spinal surgeons in the United Kingdom in 2002 to determine whether such interventions are being included routinely in the post-operative management of spinal patients. The survey included all surgeons who were members of either the British Association of Spinal Surgeons ( BASS) or the Society for Back Pain Research. Data on the characteristics of each surgeon and his or her current pattern of practice and post-operative care were collected via a reply-paid postal questionnaire. Results: Usable responses were provided by 57% of the 89 surgeons included in the survey. Most surgeons (79%) had a routine post-operative management regime, but only 35% had a written set of instructions that they gave to their patients concerning this. Over half (55%) of surgeons do not send their patients for any physiotherapy after discharge, with an average of less than two sessions of treatment organised by those that refer for physiotherapy at all. Restrictions on lifting, sitting and driving showed considerable inconsistency both between surgeons and also within the recommendations given by individual surgeons. Conclusion: Demonstrable inconsistencies within and between spinal surgeons in their approaches to post-operative management can be interpreted as evidence of continuing and significant uncertainty across the sub-speciality as to what does constitute best care in these areas of practice. Conducting further large, rigorous, randomised controlled trials would be the best method for obtaining definitive answers to these questions.

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Este estudo teve como objetivo principal analisar a relação entre a Liderança Transformacional, a Conversão do Conhecimento e a Eficácia Organizacional. Foram considerados como pressupostos teóricos conceitos consolidados sobre os temas desta relação, além de recentes pesquisas já realizadas em outros países e contextos organizacionais. Com base nisto identificou-se potencial estudo de um modelo que relacionasse estes três conceitos. Para tal considera-se que as organizações que buscam atingir Vantagem Competitiva e incorporam a Knowledge-Based View possam conquistar diferenciação frente a seus concorrentes. Nesse contexto o conhecimento ganha maior destaque e papel protagonista nestas organizações. Dessa forma criar conhecimento através de seus colaboradores, passa a ser um dos desafios dessas organizações ao passo que sugere melhoria de seus indicadores Econômicos, Sociais, Sistêmicos e Políticos, o que se define por Eficácia Organizacional. Portanto os modos de conversão do conhecimento nas organizações, demonstram relevância, uma vez que se cria e se converte conhecimentos através da interação entre o conhecimento existente de seus colaboradores. Essa conversão do conhecimento ou modelo SECI possui quatro modos que são a Socialização, Externalização, Combinação e Internalização. Nessa perspectiva a liderança nas organizações apresenta-se como um elemento capaz de influenciar seus colaboradores, propiciando maior dinâmica ao modelo SECI de conversão do conhecimento. Se identifica então na liderança do tipo Transformacional, características que possam influenciar colaboradores e entende-se que esta relação entre a Liderança Transformacional e a Conversão do Conhecimento possa ter influência positiva nos indicadores da Eficácia Organizacional. Dessa forma esta pesquisa buscou analisar um modelo que explorasse essa relação entre a liderança do tipo Transformacional, a Conversão do Conhecimento (SECI) e a Eficácia Organizacional. Esta pesquisa teve o caráter quantitativo com coleta de dados através do método survey, obtendo um total de 230 respondentes válidos de diferentes organizações. O instrumento de coleta de dados foi composto por afirmativas relativas ao modelo de relação pesquisado com um total de 44 itens. O perfil de respondentes concentrou-se entre 30 e 39 anos de idade, com a predominância de organizações privadas e de departamentos de TI/Telecom, Docência e Recursos Humanos respectivamente. O tratamento dos dados foi através da Análise Fatorial Exploratória e Modelagem de Equações Estruturais via Partial Least Square Path Modeling (PLS-PM). Como resultado da análise desta pesquisa, as hipóteses puderam ser confirmadas, concluindo que a Liderança Transformacional apresenta influência positiva nos modos de Conversão do Conhecimento e que; a Conversão do Conhecimento influencia positivamente na Eficácia Organizacional. Ainda, concluiu-se que a percepção entre os respondentes não apresenta resultado diferente sobre o modelo desta pesquisa entre quem possui ou não função de liderança.

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Nous souhaitons nous pencher ici sur un emploi particulier de la périphrase en aller + infinitif qui n’a fait l’objet – à notre connaissance – que d’un article (Lansari 2010). Cet emploi « modalisant » que Lansari limite à la formule 'on va dire' mériterait d’être approfondi pour plusieurs raisons. D’une part, l’emploi n’est décrit que sur base de « vingt exemples tirés d’internet, de blogs ou de forums » (Lansari 2010: 120) alors que, de l’aveu de Lansari elle-même, l’emploi relève de l’oral. Il serait donc utile d’enrichir – quantitativement et qualitativement - le corpus et d’y intégrer des occurrences d’oral authentique. D’autre part, Lansari restreint l’emploi modalisant à la séquence 'on va dire' ; on pourrait s’interroger sur la capacité de séquences comme 'je vais dire' à remplir les mêmes fonctions discursives. Dans cet article, nous commencerons par un – forcément bref – état de la question. Après avoir présenté le corpus, nous testerons les hypothèses précédemment défendues à la lueur du corpus rassemblé: (a) Le corpus CFPP2000 issu du projet Discours sur la ville. Corpus de Français Parlé Parisien des années 2000 (disponible en ligne à http://cfpp2000.univ-paris3.fr/Corpus.html). CFPP2000 donne la parole à 41 informateurs en 28 interviews (2198 min) et a généré 96 occurrences de on va dire modalisant. (b) Le corpus CLAPI comprenant 45 heures d’interactions interrogeables en ligne à http://clapi.univ-lyon2.fr/analyse_requete_aide.php?menu=outils. On y a relevé 12 exemples de on va dire modalisant. (c) Un corpus personnel d’interviews (163min) réalisées pendant l’année académique 2009-10 auprès de cinq étudiants Erasmus français grâce au soutien d’une bourse de la Délégation Générale à la Langue Française et aux Langues de France (DGLFLF). Les entretiens avec une assistante de recherche, basés sur les thèmes suivants, étaient supposés générer l’emploi d’une variété de temps verbaux : - Récits de rêve (imparfait) - Récits biographiques (personnage historique vs autobiographie) (PC vs PS) - Narration de film vs d’épisode historique (PC/ PRES vs PS) - Présentation de projets d’avenir vs conjectures (Futur périphrastique ou simple) Le corpus contient dix-sept occurrences de on va dire générés par deux des cinq informateurs : 15 par A. et 2 par J. Notre réflexion se basera donc sur 125 occurrences orales de 'on va dire'.

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Terms such as moral and ethical leadership are used widely in theory, yet little systematic research has related a sociomoral dimension to leadership in organizations. This study investigated whether managers' moral reasoning (n=132) was associated with the transformational and transactional leadership behaviors they exhibited as perceived by their subordinates (n=407). Managers completed the Defining Issues Test (J. R. Rest, 1990), whereas their subordinates completed the Multifactor Leadership Questionnaire (B. M. Bass & B. J. Avolio, 1995). Analysis of covariance indicated that managers scoring in the highest group of the moral-reasoning distribution exhibited more transformational leadership behaviors than leaders scoring in the lowest group. As expected, there was no relationship between moral-reasoning group and transactional leadership behaviors. Implications for leadership development are discussed.

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Conventional structured methods of software engineering are often based on the use of functional decomposition coupled with the Waterfall development process model. This approach is argued to be inadequate for coping with the evolutionary nature of large software systems. Alternative development paradigms, including the operational paradigm and the transformational paradigm, have been proposed to address the inadequacies of this conventional view of software developement, and these are reviewed. JSD is presented as an example of an operational approach to software engineering, and is contrasted with other well documented examples. The thesis shows how aspects of JSD can be characterised with reference to formal language theory and automata theory. In particular, it is noted that Jackson structure diagrams are equivalent to regular expressions and can be thought of as specifying corresponding finite automata. The thesis discusses the automatic transformation of structure diagrams into finite automata using an algorithm adapted from compiler theory, and then extends the technique to deal with areas of JSD which are not strictly formalisable in terms of regular languages. In particular, an elegant and novel method for dealing with so called recognition (or parsing) difficulties is described,. Various applications of the extended technique are described. They include a new method of automatically implementing the dismemberment transformation; an efficient way of implementing inversion in languages lacking a goto-statement; and a new in-the-large implementation strategy.