947 resultados para Graham, Andrew J. (Andrew Jackson), 1830-1894.


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Attributed to Updike in William Cushing's Initials and pseudonyms ..., Waltham, Mass., 1964, v.1, p.164.

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Includes the Life of Dr. Butler, by Dr. Kippis, the Preface, by Bishop Hallifax and two dissertations: Of personal identity. Of the nature of virtue.

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Mode of access: Internet.

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Contribution from Office of Foreign Agricultural Relations.

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Top Row: Jocelyn Aden, Rachel Ades, Katrina Allen, Kayla Ashcraft, Kristie Baker, Amy Beaudoin, Heidi Beck, Beth Bentrum, Amber Blake, Lee Anna Braden, Dan Burd, Meaghan Burke, Mallory Calus, Irene Casillas, Veronica Cherney, Samantha Cholewa, Molly Conlen

Row 2: Wendy Corriveau, Meaghan Cotter, Kara DeGlopper, Colleen DeVoe, Hadley Dobbs, Kimberly Drury-Wallace, Hyesun Eitel, Sarah Elner, Douglas E. Elsey, Alyssa Fallot, Folake Famoye, Kristen Farr, Christine Fleck, Jennifer Fleming, Soncerae Gardner, Sarah Gilley, Joelle Gilmet

Row 3: Sara Goss, Amy Guffey, Taylor Griglak, Bridget Belvitch, Jaclyn Janks, Andrea Engles, Cassandra Smith, Lyndsy Brenner, Mallorie Patterson, Kristen Oltersdorf, Laura Kokx, Ross Zoet, Mary Osbach, Courtney Norman, Monica Habeck, Erica Hadley

Row 4: Amanda Hanert, Dayna Hasty, Nicole Heller, Ashley Howard, Robert Humburg, Andrew Humes, Grace Hwang, Amira Jackson, Kathryn Jipping, Shelly Johnson

Row 5: Lindsey Kappler, Jacqueline Klaiman, Sarah Knoedler, Jessica Kopicki, Kathryn Kovanda, Sarah Kovats, Emily Krogel, Kellie Kunkel, Kristin Lakatos, Chelsea Lazaroff, Bo Hwa Lee, Kelly Leja

Row 6: Kelli Littlejohn, Emilee Losey, Patricia Luna, Wilma MacKenzie, Matt Malkowski, Rachel Mallas, Emily McCallister, Diane McDonald, Dorian Michelson, Mary Miller, Nicole Miller, Kristen Muehlhauser

Row 7: Renee Muller, Katherine Mulvaney, Eugene Ngala, Christine Novotny, Colleen O'Connor, Cassey Parrish, Kimberly Peters, Kathleen Potempa, Bonnie Hagerty, Heather Poucher, Charles Reisdorf, Eric Retzbach, Sarah Rhem, Shannon Rice, Amy Roberts, Christie Schonsheck

Row 8: Franciska Schuett, Rhonda Schultz, Kristina Seidl, Teresa Semaan, Shelley Sibbold, Stacy Slater, Mary Snell, Mallory Stanton, Dennis Stevens, Miranda Stoddard, Tatiana Tafla, Priscilla Tang, Bethany Thelen, Jessica Thibert, Rebecca Thurk, Lauren Tormoehlen, Chinasa Uwandu

Row 9: Margaret van Buitenen, Stacey Victor, Jennifer Waag, Kirstyn Wade, Ariel Warren, Elizabeth White, Natalie Wierenga, Jessica Wihowski, Wendy Witkowski, Aliza Wolfe, DaShaunn Woolard, Ting Wan Yip, Alexander Young, Kellie Zenz, Kristen Ziulkowski, Jessica Zmierski

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I. How Rissio was avenged.--II. A rebellious love match.--III. Prince or pastry-cook?--IV. The revenge of John Hawkins.--V. The scapegoat.--VI. Sir Walter's home-coming.--VII. Cloth of gold and cloth of frieze.--VIII. The last stand of the O'Sullivans.

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Mode of access: Internet.

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This study investigates whether different diurnal types (morning versus evening) differ in their estimation of time duration at different times of the day. Given that the performance of morning and evening types is typically best at their preferred times of day, and assuming different diurnal trends in subjective alertness (arousal?) for morning and evening types, and adopting the attentional gate model of time duration estimation, it was predicted that morning types would tend to underestimate and be more accurate in the morning compared to evening types where the opposite pattern was expected. Nineteen morning types, 18 evening types and 18 intermediate types were drawn from a large sample (N=1175) of undergraduates administered the Early/Late Preference Scale. Groups performed a time duration estimation task using the production method for estimating 20-s unfilled intervals at two times of day: 0800/1830. The median absolute error, median directional error and frequency of under- and overestimation were analysed using repeated-measures ANOVA. While all differences were statistically non-significant, the following trends were observed: morning types performed better than evening types; participants overestimated in the morning and underestimated in the evening; and participants were more accurate later in the day. It was concluded that the trends are inconsistent with a relationship between subjective alertness and time duration estimation but consistent with a possible relationship between time duration estimation and diurnal body temperature fluctuations. (C) 2002 Elsevier Ltd. All rights reserved.

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Data provided by 7380 middle managers from 60 nations are used to determine whether demographic variables are correlated with managers’ reliance on vertical sources of guidance in different nations and whether these correlations differ depending on national culture characteristics. Significant effects of Hofstede’s national culture scores, age, gender, organization ownership and department function are found. After these main effects have been discounted, significant although weak interactions are found, indicating that demographic effects are stronger in individualist, low power distance nations than elsewhere. Significant non-predicted interaction effects of uncertainty avoidance and masculinity-femininity are also obtained. The implications for theory and practice of the use of demographic attributes in understanding effective management procedures in various parts of the world are discussed.

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This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentation of the bones of the knee. The phase information provides a very good discrimination between the bone and the surrounding tissues, but is usually not used due to phase unwrapping problems. We present a method to extract textural information from the phase that does not require phase unwrapping. The textural information extracted from the magnitude and the phase can be combined to perform tissue classification, and used to initialise an active shape model, leading to a more precise segmentation.

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Objective: To report on strategies for, and outcomes of, evaluation of knowledge (publications), health and wealth (commercial) gains from medical research funded by the Australian Government through the National Health and Medical Research Council (NHMRC). Design and methods: End-of-grant reports submitted by researchers within 6 months of completion of NHMRC funded project grants which terminated in 2003 were used to capture self-reported publication number, health and wealth gains. Self-reported gains were also examined in retrospective surveys of grants completed in 1992 and 1997 and awards primarily supporting people (“people awards”) held between 1992 and 2002. Results: The response rate for the 1992 sample was too low for meaningful analysis. The mean number of publications per grant in the basic biomedical, clinical and health services research areas was very similar in 1997 and 2003. The publication output for population health was somewhat higher in the 2003 than in the 1997 analysis. For grants completed in 1997, 24% (31/131) affected clinical practice; 14% (18/131) public health practice; 9% (12/131) health policy; and 41% (54/131) had commercial potential with 20% (26/131) resulting in patents. Most respondents (89%) agreed that NHMRC people awards improved their career prospects. Interpretation is limited by the relatively low response rates (50% or less). Conclusions: A mechanism has been developed for ongoing assessment of NHMRC funded research. This process will improve accountability to the community and to government, and refine current funding mechanisms to most efficiently deliver health and economic returns for Australia.

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The Brisbane Inner South E-referral Project (BISEP) developed an application which allowed general practitioners, from their desktop, to successfully search for and book an available hospital outpatient appointment for patients with suspected cancer, send the referral electronically, and inform the patient of both the appointment and referral during the consultation. The hospital changed their outpatient department processes to allow such functionality for local GPs with patients with suspected cancer, working from a mutually agreed set of best practice referral criteria. A group of 19 GPs participated in an 11-week pilot implementation of the application, and were enthusiastic about continuing and expanding the approach. Patient satisfaction measures post intervention indicated that they perceived no major disadvantage in this form of outpatient department referral.