757 resultados para Linden


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"FHTET 96-12."

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"Indorsed by the Board Directors, Ill. Federation of Women's Clubs."

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Abstract of the Eyrbiggiasaga; being the early annals of that district of Iecland lying around the promontory called Snæfells, by W. S. [i.e. Sir Walter Scott] Glossary, by R. Jamieson.

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Top Row: Mary Jo Ambrozy, Carolyn, Ashley, Gail Marie Barbaza, Jeanne Barr, Susan Bauer, Lynn Eva Becker, Christine Bibilikow, Kathy Biehl, Lisa Bloomfield, Bail M. Borowiak, Susan, M. Browning, Diane Louise Burgoon, Camille Carlson, Cindy marie Chaltry, Kathleen Anne Clegg, Ann cline

Row 2: Wendy Cogan, Annette Robin Cole, Barbara Compton, Elizabeth Connors, Norma K. Marshall, Michele Betts, Donna Jean Holihan, Pamela S. Harden, Kathleen McLaughlin, Mary M. Walker, Mary Lohr, Julia Cooney, Carol Crapo, Deborah D. Davis, Mary Dreisig

Row 3: Athena Eary, Eleanor Eckrich, Patti M. Eidenberger, Catherine Elmlinger, Annette Englund, Cynthis Fellencer, Karen Fischer, Carolyn B. Forbes, Nancy Ellen Freedman, Susan P. George, Annette Gervaix, Beverly Glogowski

Row 4: Jayne Goodrich, June A. R. Grimm, Marie Guerrini, Douglas Leon Hankins, Yvonne M. Harwoor, Linda Hecimovich, Catherine M. Herbel, Kelly Hocker, Brenda Lee Horness, Theresa A. Hosey, Karin E. Hunt, Beth Jackson

Row 5: Karen Sue Jaffe, Roland Jemerson, Tamera Johnson, Susan Kaczmarek, Laura S. Keverian, Julie A. Kimbrough, Eva Marie Kline, Nancy L. Kuehn, Margaret J. Labadie, Lori K. Lane, Elizabeth Lang, Linda Lawton, Judy Linden, Peggy Little, Sharon Lois Longe, Claire Lonstein

Row 6: Deloris Macon, Karen Marie Macsay, Susan E. Mapley, Maria Y. Maquera, Ann McCullough, Michael Meade, Barbara Messink, Mary Elizabeth Mick, Susie E. Mikolajewski, Marilyn Millman, Debra A. Mills, Lu Ann Minore, Jean M. Mischel, Terri Ann Mitchell, Catherine Jean Moore, Michelle A. Mourad

Row 7: Mary Lynn Musial, Kathleen Myles, Denise Oliphint, Patrice M. Orlowski, Susan Orne, Carolyn Pernell, Holly Perry, Paula L. Petkoff, Arlene Ann Popovich, Barbara A. Quinn, Carol Reid, Sandra J. Remington, Gisselle Rodriguez, Susan Roelant, Laura S. Rogers, Nancy Rudd

Row 8: Karen Beth Salem, Barbara Santavy, Linda Schairer, Marie B. Schneider, Julie Schoettley, Julie Rose Schuster, Mary V. Seibert, Tracy Shafer, Claire E. Sharda, Susan D. Shortino, Judith Simon, Phillis Simpson, Donna Sledz, Cynthia Smith, Diane L. Smith, Mary Kay Smith

Row 9: Susan R. Smith, Sharon stansberry, Linda Suchocki, Susan Swoiskin, Leslie Ann Urban, Mary B. Van Wingen, Gretchen M. Vermeulen, Verland Z. Walker, Jayne Walworth, Elaine Devorah Webber, Julie Ann Webster, Sora Weller, Julie L. Weyburne, Malorie Whitefield, Frances Wiecha, Anne C. Wise

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Top Row: Douglas G. Pointon, Anne M. Laliberte, Anne T. Reaume, Karen R. Anderson, Margaret A. Mehall, Laura Meintel(Cepko), Sharon M. Milberger, Felicia I. Kle??, Pamela J. DcKeyser, Kathryn G. Maudlin, Mary C. Downey, Julie A. Gergen, Anne K. Hubling, Helen Mourao, Deborah L. Dubrul, Sarah E. Whorf

Row 2: Andrea Mitchell, Karen E. Grost, Paula V. Nersesian, Kelly A. Fleming, Mary Beth Morton, Lynda L. Cooley, Cynthia A. Wandzel, Deborah L. Bach, Karen A. Schwartz, Rhonda G. Pasma, Lesley M. Shafer, Michelle A. Kauer, Mary Jo Raftery, Carol A. Hammell, Josephine G. Ratcliffe

Row 3: Shon A. Pilarski, Julie S. Peritz, Terri L. McPherson, Tina T. chandler, Janet C. Pinkerton, Rosanna M. Knapp, Lisa A. Krukowski, Madelyn L. Nichols, Jaleh Shafii, Elizabeth A. Beer, Molly A. Finn, Dyann E. Botsford, Kathryn J. Meier, Angela L. Bruder (Crane), Herlinda Olive-Downs, Laura B. Bailey

Row 4: Laura L. Brooks, Lisa K. Feezell

Row 5: Cindy L. Harvey, Kerri A. Bacsanyi, Diane R. Cepko, Sheila E. Falk, Marylin A. Jeromin, Marianne Gerard, Sharon L. Podeszwa, Lynette A. LaPratt, Mary Ann Williams, Diana L. Faulk, Christine L. Henriksen, Sharon M. LaMacchia

Row 6: Deborah A. ranazzi (Maxim), Debra J. Mitchell, Holly B. O'Brien, Elaine K. Hebda, Jeanne L. Bruff, Crystal M. Emery, Cleola Hinton, Kathleen T. Hutton, Holly L. Nelson, Karen F. Kraker

Row 7: Meghan A. Sweeney, Christine M. Olree, Marlynn J. Marroso, Toni L. Lowery, Catherine L. Carroll, Elisabeth A. Pennington, Shake Ketefian, Rhetaugh G. Dumas, Janice B. Lindberg, Marlene Rutledge, Kimberley A. Vnuk, Anne M. Walsh, Rae Ann Vander Weide, Cheryl L. Boyd

Row 8: Renee M. Marks, Janine M. Simon, Renee A. Bowles, Linda Kurpinski-Nabozny, Teresa E. Ohman, Joanna E. Bok, Jodi F. Siegel, Janeen M. Chebli, Susan M. Williamson, Mary M. Fedewa, Rose Marie Stacey, Angela J. DeWitt, Kim E. Whelan, Lyndall P. Miller

Row 9: Jean M. Dziurgot, Amy J. Elwart, Lorrie A. Sheck, Amy A. Plasman, Mary L. Schuette, Susan K. Bowen, Heather A. Woodward, Luann N. Richert, Laurie J. Schlukebir, Linda L. Stevenson(Said), Carolyn N. Hartke, Rebecca L. Evans, Kathryn A. Savage, Kathryn A. Sailus (Linden), Heidi Deininger, Jennifer J. Eppley

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"Sonderabdruck aus dem XVII. u. XVIII. Jahresbericht des Württ. Vereins für Handelsgeographie."

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Thesis (doctoral)--Rijkskuniversiteit te Leiden.

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Thesis (doctoral)--

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"Ouvrage ayant obtenu le prix du roi."

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Objective: To investigate whether the recently developed (statistically derived) "ASsessment in Ankylosing Spondylitis Working Group" improvement criteria (ASAS-IC) for ankylosing spondylitis (AS) reflect clinically relevant improvement according to the opinion of an expert panel. Methods: The ASAS-IC consist of four domains: physical function, spinal pain, patient global assessment, and inflammation. Scores on these four domains of 55 patients with AS, who had participated in a non-steroidal anti-inflammatory drug efficacy trial, were presented to an international expert panel (consisting of patients with AS and members of the ASAS Working Group) in a three round Delphi exercise. The number of (non-) responders according to the ASAS-IC was compared with the final-consensus of the experts. The most important domains in the opinion of the experts were identified, and also selected with discriminant analysis. A number of provisional criteria sets that best represented the consensus of the experts were defined. Using other datasets, these clinically derived criteria sets as well as the statistically derived ASAS-IC were then tested for discriminative properties and for agreement with the end of trial efficacy by patient and doctor. Results: Forty experts completed the three Delphi rounds. The experts considered twice as many patients to be responders than the ASAS-IC (42 v 21). Overall agreement between experts and ASAS-IC was 62%. Spinal pain was considered the most important domain by most experts and was also selected as such by discriminant analysis. Provisional criteria sets with an agreement of greater than or equal to 80% compared with the consensus of the experts showed high placebo response rates (27-42%), in contrast with the ASAS-IC with a predefined placebo response rate of 25%. All criteria sets and the ASAS-IC discriminated well between active and placebo treatment (chi(2) = 36-45; p < 0.001). Compared with the end of trial efficacy assessment, the provisional criteria sets showed an agreement of 71-82%, sensitivity of 67-83%, and specificity of 81-88%. The ASAS-IC showed an agreement of 70%, sensitivity of 62%, and specificity of 89%. Conclusion: The ASAS-IC are strict in defining response, are highly specific, and consequently show lower sensitivity than the clinically derived criteria sets. However, those patients who are considered as responders by applying the ASAS-IC are acknowledged as such by the expert panel as well as by. patients' and doctors' judgments, and are therefore likely to be true responders.

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A simple method for training the dynamical behavior of a neural network is derived. It is applicable to any training problem in discrete-time networks with arbitrary feedback. The method resembles back-propagation in that it is a least-squares, gradient-based optimization method, but the optimization is carried out in the hidden part of state space instead of weight space. A straightforward adaptation of this method to feedforward networks offers an alternative to training by conventional back-propagation. Computational results are presented for simple dynamical training problems, with varied success. The failures appear to arise when the method converges to a chaotic attractor. A patch-up for this problem is proposed. The patch-up involves a technique for implementing inequality constraints which may be of interest in its own right.