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pro vyhledávání: '"Bartlett, Christopher"'
Autor:
Bartlett, Christopher
The Book and the Box takes a new approach to understanding the relationship between the rise of television, the history of twentieth century fiction, and the shifting definitions of authorship in the United States during a period in which large media
Externí odkaz:
https://hdl.handle.net/2144/43917
Akademický článek
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Autor:
Muzammil, Taimur Sohail, Gangu, Karthik, Nasrullah, Adeel, Majeed, Harris, Chourasia, Prabal, Bobba, Aneish, Shekhar, Rahul, Bartlett, Christopher, Sheikh, Abu Baker
Publikováno v:
In Heart & Lung November-December 2023 62:16-21
Autor:
Bartlett, Christopher Paul
Hepatitis C virus causes a chronic infection in ~3% of the world’s population and is a leading cause of liver diseases such as cirrhosis and hepatocellular carcinoma. It is a positive-sense single-stranded RNA virus that persists in ~85% of infecti
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.713212
Autor:
Luecke Richard, Bartlett Christopher
Toutes les techniques efficaces pour développer avec succès ses talents de manager. Devenir un manager efficace ne s'improvise pas. Comment manager avec succès une équipe et des projets? Quelles compétences maîtriser et quelles techniques acqu
Autor:
Bartlett, Christopher.
Thesis (M.A.)--University of North Carolina at Chapel Hill, 2005.
Includes bibliographical references (leaves 132-135).
Includes bibliographical references (leaves 132-135).
Externí odkaz:
http://www.oregonpdf.org
Autor:
Bartlett, Christopher.
Thesis (M.A.)--University of North Carolina at Chapel Hill, 2004.
Includes bibliographical references (leaves 132-135). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.
Includes bibliographical references (leaves 132-135). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.
Externí odkaz:
http://www.oregonpdf.org
Autor:
Ray, William C., Wolock, Samuel L., Callahan, Nicholas W, Dong, Min, Li, Q. Quinn, Liang, Chun, Magliery, Thomas J, Bartlett, Christopher W.
Background: The biological world is replete with phenomena that appear to be ideally modeled and analyzed by one archetypal statistical framework - the Graphical Probabilistic Model (GPM). The structure of GPMs is a uniquely good match for biological
Externí odkaz:
http://arxiv.org/abs/1407.2110