Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Samuel A. Rosenblatt"'
Autor:
White, Lawrence J.
Publikováno v:
Economic Development and Cultural Change, 1981 Apr 01. 29(3), 657-660.
Externí odkaz:
https://www.jstor.org/stable/1153718
Autor:
Strassmann, W. Paul
Publikováno v:
Journal of Economic Literature, 1980 Jun 01. 18(2), 639-641.
Externí odkaz:
https://www.jstor.org/stable/2723841
Autor:
Berkowitz, Michele Tina
Publikováno v:
The American Economist, 1984 Oct 01. 28(2), 91-92.
Externí odkaz:
https://www.jstor.org/stable/25603632
Autor:
Diebold, William
Publikováno v:
Foreign Affairs, 1983 Apr 01. 61(4), 975-975.
Externí odkaz:
https://www.jstor.org/stable/20041576
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Background: Concussion subtypes are typically organized into commonly affected symptom areas or a combination of affected systems, an approach that may be flawed by bias in conceptualization or the inherent limitations of interdisciplinary expertise.
Externí odkaz:
https://doaj.org/article/0890f713dd6d4bcf9de83443e28be9b9
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 7, p e1007897 (2020)
Network-based intervention strategies can be effective and cost-efficient approaches to curtailing harmful contagions in myriad settings. As studied, these strategies are often impractical to implement, as they typically assume complete knowledge of
Externí odkaz:
https://doaj.org/article/b0e17ff01bc9421493e785b0292a56e5
Autor:
David O'Gara, Samuel F. Rosenblatt, Laurent Hébert‐Dufresne, Rob Purcell, Matt Kasman, Ross A. Hammond
Publikováno v:
Advanced Theory and Simulations.
Autor:
Lawrence J. White
Publikováno v:
Economic Development and Cultural Change. 29:657-660
Autor:
Sarah Khan, Christopher L. Smith, Erin M. Pinto, Dalal K. Taha, Kathleen A. Gibbs, Samuel A. Rosenblatt, Yoav Dori
Publikováno v:
Journal of Perinatology.
Autor:
Briane Paul V. Samson, Laurent Hébert-Dufresne, Guillermo de Anda Jáuregui, Emily Moog, Milo Z. Trujillo, Samuel Frederick Rosenblatt, Allison M. Roth
Community-level bans are a common tool against groups that enable online harassment and harmful speech. Unfortunately, the efficacy of community bans has only been partially studied and with mixed results. Here, we provide a flexible unsupervised met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb747eaf0192966d2024c575bbcf8841