2,350 research outputs found
Correspondence, Donald J. MacIntyre, Acting President, Saint Francis College to Richard F. Spavins, Executive Director, New England Foundation for Osteopathic Medicine, 1975 March 27
No full textLetter from Donald J. MacIntyre, Acting President, Saint Francis College to Richard F. Spavins, D.O., Executive Director, New England Foundation for Osteopathic Medicine expressing interest in discussing the creation of an Osteopathic College at St. Francis College.https://dune.une.edu/bergen/1055/thumbnail.jp
Life is too short to be serious all the time: Donald Duck presents unconventional motivations for publishing in academia
No full textIn this food for thought article, we introduce the ‘Donald Duck Phenomenon’ to consider ten unconventional reasons for publishing in academia. These include (i) symbolic immortality, (ii) personal satisfaction, (iii) a sense of pride, (iv) serious leisure, (v) cause credibility, (vi) altruism, (vii) collaboration with a friend or family member, (viii) collaboration with a hero, (ix) conflict or revenge, and (x) for amusement. The article was inspired by the lead author’s social media search for a co-author with the surname ‘Duck’. Through LinkedIn, the lead author, Associate Professor William E. Donald, who is based in the UK and specialises in Sustainable Careers and Human Resource Management, found a collaborator, Dr Nicholas Duck, based in Australia and specialises in Organisational Psychology. While the collaboration may appear somewhat ‘quackers’, per one of Donald Duck’s famous phrases, “Life is too short to be serious all the time, so if you can’t laugh at yourself then call me… I’ll laugh at you, for you”. We hope that this article offers some interesting insights, particularly for academics at the start of their scholarly journey, and acts as a way to stimulate conversation around unconventional reasons for publishing in academia
Pharmacoepidemiology_of_Antidepressant_Exposure_in_a_UK_Cohort_Record_SUPPLEMENTARY_revised – Supplemental material for Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage study
No full textSupplemental material, Pharmacoepidemiology_of_Antidepressant_Exposure_in_a_UK_Cohort_Record_SUPPLEMENTARY_revised for Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage study by Jonathan D Hafferty, Eleanor M Wigmore, David M Howard, Mark J Adams, Toni-Kim Clarke, Archie I Campbell, Donald J MacIntyre, Kristin K Nicodemus, Stephen M Lawrie, David J Porteous and Andrew M McIntosh in Journal of Psychopharmacology</p
Twitter Tweets for Donald J. Trump (@realdonaldtrump)
No full textDataset Metrics
Total size of data uncompressed:115901693 bytes
Number of objects (submissions): 40,241
Start Date: Mon May 04 18:54:25 +0000 2009
End Date: Thu Jul 11 15:52:19 +0000 2019
Format: ndjson (new line delimited JSON)
Overview
This dataset contains all known publicly available tweets for Donald J. Trump's (@realdonaldtrump) Twitter account.
Methodology
This data was compiled from multiple sources including several online Github accounts that contained the status ids for previous tweets made by Donald Trump. All ids were compiled into a single list and then those ids were requested from Twitter's "statuses lookup" endpoint. Tweets deleted by Donald Trump will not be in this dataset but can be obtained from the author of this publication for a subset of the time range present in this dataset. This dataset will also include the tweet information for any retweeted tweets under the "retweeted_status" key for each JSON object. The user object has been left in each tweet (both the main tweet and retweeted / quoted tweets if they exist).
Contact
If you have any questions about the data or require more details on the methodology, you are welcome to contact the author
Twitter Tweets for Donald J. Trump (@realdonaldtrump)
No full textDataset Metrics
Total size of data uncompressed:115901693 bytes
Number of objects (submissions): 40,241
Start Date: Mon May 04 18:54:25 +0000 2009
End Date: Thu Jul 11 15:52:19 +0000 2019
Format: ndjson (new line delimited JSON)
Overview
This dataset contains all known publicly available tweets for Donald J. Trump's (@realdonaldtrump) Twitter account.
Methodology
This data was compiled from multiple sources including several online Github accounts that contained the status ids for previous tweets made by Donald Trump. All ids were compiled into a single list and then those ids were requested from Twitter's "statuses lookup" endpoint. Tweets deleted by Donald Trump will not be in this dataset but can be obtained from the author of this publication for a subset of the time range present in this dataset. This dataset will also include the tweet information for any retweeted tweets under the "retweeted_status" key for each JSON object. The user object has been left in each tweet (both the main tweet and retweeted / quoted tweets if they exist).
Contact
If you have any questions about the data or require more details on the methodology, you are welcome to contact the author
We\u27ll Find the Place: Chapter 3 My Youth
No full textText Document, Chapter 3 My Youth From the Book "We\u27ll Find the Place" By Earl Donald Attridge Recollections of his youth, a smattering of contemporary psychology theory on homosexuality, encounters with religion and with other gay youth (author was same age range as the youth at time of encounters) and gay menConverted from .html to .pdf for compatibilit
Donald Featherstone, 1918- 2013: iconic wargaming author
No full textDonald Featherstone became the iconic wargaming author of the 20th century, with over forty books on wargaming and military history. His first wargaming book in 1962, War Games, included multiple conceptual leaps to change the projectile firing toy cannon system used by H G Wells, into game systems that could be used to replicate all periods of warfare. His World War II service with the British Army tank regiment informed his later writing about the experience of the ordinary soldier from all ages of history. He used his eighteen year editorship of the Wargamer’s Newsletter to encourage and inspire many of the key amateur and professional wargamers who became key figures in the emerging hobby of wargaming and the professional use of wargaming for training and analysis
Lake-size dependency of wind shear and convection as controls on gas exchange
No full textHigh‐frequency physical observations from 40 temperate lakes were used to examine the relative contributions of wind shear (u*) and convection (w*) to turbulence in the surface mixed layer. Seasonal patterns of u* and w* were dissimilar; u* was often highest in the spring, while w*increased throughout the summer to a maximum in early fall. Convection was a larger mixed‐layer turbulence source than wind shear (u*/w* < 0.75) for 18 of the 40 lakes, including all 11 lakes <10 ha. As a consequence, the relative contribution of convection to the gas transfer velocity (k, estimated by the surface renewal model) was greater for small lakes. The average k was 0.54 m day−1 for lakes <10 ha. Because u* and w*differ in temporal pattern and magnitude across lakes, both convection and wind shear should be considered in future formulations of lake‐air gas exchange, especially for small lakes.Jordan S. Read, David P. Hamilton, Ankur R. Desai, Kevin C. Rose, Sally MacIntyre, John D. Lenters, Robyn L. Smyth, Paul C. Hanson, Jonathan J. Cole, Peter A. Staehr, James A. Rusak, Donald C. Pierson, Justin D. Brookes, Alo Laas, and Chin H. W
Improving the Usability of Mobile Applications Through Context-awareness
No full text64 p. This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu].The usability of mobile applications is threatened by limited input/output capabilities and varied access situations (Bertini et al., 2005). Through context-awareness, applications are programmed to respond to contextual information as an input source (Schmidt et al., 1999). Based on analysis of literature published between 1998 and 2006, techniques to both interpret and apply contextual input to improve mobile application usability are identified among four primary context types: location, identity, time, and activity.
The author of this study is a recipient of the AIM Director's Distinguished Capstone Award
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