Results 151 to 160 of about 33,900 (266)

Interhospital variations in practice and technical outcomes for endoscopic resection of early oesophagogastric adenocarcinoma: multicentre CONGRESS data set analysis. [PDF]

open access: yesBJS Open
Cole K   +14 more
europepmc   +1 more source

Chemistry I, Group C

open access: yes, 2017
Moderator: Prof. Josh Farrell 9 A.M. | Nicole Bambara ’17 (Faculty Advisor: Josh Farrell) Mannich Condensations with Hexamethylene Diamine 9:15 A.M. | Andrew Millonig ’17 (Faculty Advisor: Richard S.
Endres, Paul, \u2718   +4 more
core  

Unlocking digital health: inequalities in the adoption of a patient portal. [PDF]

open access: yesBMJ Health Care Inform
Barker RD, Gökmen R, Naylor D, Teo JT.
europepmc   +1 more source

Georgia Tech Cross Country Team of 1955

open access: yes, 1955
Digital image created at the Georgia Tech Library, 2010. Scanned at 600ppi.||Physical Condition: GoodTop Row, Standing, Left to Right:: Coach Griffin, John Fortune, Terry Ellis, Dick Devane, Clifford Wilson, John Potts, Cole Bryan, Ted Cook, John ...
George C. Griffin
core  

James Cooper and the Scoto-Catholic Party : tractarian reform in the Church of Scotland, 1882 - 1918

open access: yes, 2015
In Scotland, no less than in England, the late Victorian era was one of transition. Industrialisation and urbanisation created new social problems, while other forces - most importantly the railway - worked to undermine the national comprehensiveness of ...
Rees, Brian A.
core  

Debunking the myth of the quintessential resource manager: Precision in actionable science

open access: yesConservation Science and Practice, EarlyView.
Science is too often framed as “actionable” for managers without defining either the intended manager or use. This perspective article presents the heuristic of “who, what, when, where, why, how” to help researchers be more precise when describing their actionable science and move beyond generic framings.
Amanda E. Cravens   +16 more
wiley   +1 more source

Race and Survival Bias in NBA Data [PDF]

open access: yes
Cross sectional employment data is not random. Workers who survive to a longer level of tenure tend to have a higher level of productivity than those who exit earlier. Wage equations that use cross sectional data could be biased from the over sampling of
James Richard Hill, Peter A. Groothuis
core  

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