Institution
Wilkes University
Education•Wilkes-Barre, Pennsylvania, United States•
About: Wilkes University is a education organization based out in Wilkes-Barre, Pennsylvania, United States. It is known for research contribution in the topics: Population & Pharmacy. The organization has 616 authors who have published 1032 publications receiving 21050 citations. The organization is also known as: Wilkes & Wilkes College.
Topics: Population, Pharmacy, Seed dispersal, Curriculum, Electron mobility
Papers published on a yearly basis
Papers
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TL;DR: Mcarty et al. as discussed by the authors used the first dimension of DW-NOMINATE scores for the U.S. House of Representatives and found a cyclic pattern of ideological convergence and divergence over the period 1856-2006 that they call the accordion effect.
Abstract: Ideological polarization and partisan enmity is arguably the driving force of the past several decades of U.S. electoral history. Today there is a vast ideological gulf between elected Democrats and elected Republicans in Congress and elsewhere. But this pattern is not unique in U.S. political history. McCarty, Poole and Rosenthal (2006), using the first dimension of DW-NOMINATE scores for the U.S. House, show compelling evidence for a cyclic pattern of ideological convergence and divergence over the period 1856-2006 that we call the accordion effect. Our interest is in the electoral mechanisms that must be in place to generate observed contemporary dynamics rather than in causality per se. First, in a model of one-dimensional ideological competition, for a fixed distribution of constituency medians, we model the gap between the mean Democratic and the mean Republican position in Congress as the product of two (potentially interrelated) factors: (1) the mean difference in roll call voting scores (first DW-NOMINATE dimension) when a Republican in a district is replaced by a Democrat (or conversely) and (2) the likelihood that districts of a given ideological stripe will elect Democrats (Republicans). We then formally model possible dynamics involving partisan replacement, leading to either increasing or reduced polarization. We suggest that one such dynamic, where each party “chases the tail” of the other party that is closest to its own position, has been the driving force in enhancing polarization since 1980. We suggest however, that a quite different replacement dynamic was found in much of the first half of the 20th century, one leading to considerable overlap in party ideologies by the 1950s that lasted through the 1970s.
3 citations
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TL;DR: The role of social movement organizations has played an important role in athlete activism as mentioned in this paper, and many athlete activists have all benefited from having organizations supporting their social justice efforts, including women's sports.
Abstract: Social movement organizations have played an important role in athlete activism. Countless athlete activists have all benefited from having organizations supporting their social justice efforts. On...
3 citations
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TL;DR: This paper presents mixed integer programming models for MST assembly problems and computational results with commercial optimization software will be given and advantages of the models evaluated.
3 citations
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TL;DR: Response to Rabow's note Rabow, G. (2015) equilibrium strategies for final-offer arbitration: there is no median convergence.
Abstract: Response to Rabow's note Rabow, G. Note—Response to “Equilibrium strategies for final-offer arbitration: there is no median convergence”. Management Sci. 31 (3, March) 374–375.
3 citations
Authors
Showing all 619 results
Name | H-index | Papers | Citations |
---|---|---|---|
William I. Rose | 71 | 241 | 13418 |
Hsueh-Chia Chang | 62 | 327 | 12670 |
Douglas A. Burns | 45 | 139 | 7272 |
James Adams | 37 | 81 | 4653 |
Ann Kolanowski | 36 | 178 | 4333 |
Mihir Sen | 36 | 192 | 4245 |
Alexander Shekhtman | 35 | 120 | 3874 |
Ned Fetcher | 31 | 64 | 4011 |
Michael P. Kaschak | 30 | 73 | 5125 |
William Terzaghi | 30 | 70 | 4547 |
Thomas M. Walski | 30 | 136 | 4219 |
Samuel Merrill | 29 | 75 | 2621 |
Michael A. Steele | 27 | 74 | 2863 |
Gregory S. Harms | 27 | 47 | 3268 |
Michael R. Gionfriddo | 26 | 87 | 3074 |