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: In this article, a series of single-ring aromatic compounds were evaluated in batch reactor tests for the loading of granular activated carbon (GAC) in the presence of carboxyl and hydroxyl groups.
14 citations
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TL;DR: The development of lymph node eosinophilia through the action of specific immunologic reactants was not affected by agents with antihistaminic, antiheparin, or antiserotonin properties, and there is no evidence to indicate a role for antigen-antibody precipitate, soluble antigen-Antibody complexes, or a product of antigen-antsibody mixtures liberated in vitro.
14 citations
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TL;DR: In this paper, the authors measure patterns of relational framing linked with categorization in young, typically developing children and correlate framing performance with linguistic and cognitive potential as measured by standardized instruments, including the Peabody Picture Vocabulary Test, Fourth Edition (PPVT), the Stanford-Binet Intelligence Scales-Fifth Edition (SB5), and the Children's Category Test (CCT).
Abstract: The aims of the current study were to measure patterns of relational framing linked with categorization in young, typically developing children and to correlate framing performance with linguistic and cognitive potential as measured by standardized instruments, including the Peabody Picture Vocabulary Test, Fourth Edition (PPVT–4), the Stanford–Binet Intelligence Scales—Fifth Edition (SB5), and the Children’s Category Test (CCT). The relational protocol developed for this study assessed properties of relational framing in 3 relational domains, including nonarbitrary and arbitrary containment relations and arbitrary hierarchical relations. There were 50 participants, 10 from each of the following age ranges: 3–4, 4–5, 5–6, 6–7, and 7–8. The results provided data concerning the acquisition of relational categorization skills across childhood and also showed strong correlations between relational performance and that on each of the 3 standardized measures. The results are discussed in relation to previous research and for their implications in regard to future studies on relational framing and categorization in children.
14 citations
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TL;DR: Emerging evidence is suggesting that PP6, acts in opposition with multiple classes of kinases, to regulate the phosphorylation status of diverse substrates and subsequently numerous developmental processes and responses to environmental stimuli.
Abstract: Reversible protein phosphorylation catalyzed by kinases and phosphatases is a major form of posttranslational regulation that plays a central role in regulating many signaling pathways. While large families of both protein kinases and protein phosphatases have been identified in plants, kinases outnumber phosphatases. This raises the question of how a relatively limited number of protein phosphatases can maintain protein phosphorylation homeostasis in a cell. Recent studies have shown that Arabidopsis FyPP1 (Phytochrome-associated serine/threonine protein phosphatase 1) and FyPP3 encode the catalytic subunits of protein phosphatase 6 (PP6), and that they directly binds to the A subunits of protein phosphatase 2A (PP2AA proteins), and SAL (SAPS domain-like) proteins to form the heterotrimeric PP6 holoenzyme complex. Emerging evidence is suggesting that PP6, acts in opposition with multiple classes of kinases, to regulate the phosphorylation status of diverse substrates and subsequently numerous developmental processes and responses to environmental stimuli.
14 citations
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TL;DR: In this paper, the authors consider the degree of ideological polarization within and between the parties in the U.S. House ofRepresentatives for the period 1963-1996, using the Groseclose, Levitt and Snyder (1996) adjustment method for ADA and ACU scores to ensure over timecomparability of roll call voting data.
Abstract: We consider the degree of ideological polarizationwithin and between the parties in the U.S. House ofRepresentatives for the period 1963–1996, using theGroseclose, Levitt and Snyder (1996) adjustment method for ADA and ACU scores to ensure over timecomparability of roll call voting data. We focusespecially on the median House member, since webelieve that change in the median offers a bettermeasure of the impact of the change in party controlthan does changes in the mean roll-call votingscore. Our data analysis makes two general points. First andforemost, when we looked at the change in the locationof the House median voter, we found a dramatic changeafter the Republicans gained a majority in the House in1994. After the Republicans became a majority in theHouse, the ADA median in the House in 1995–1996 was at24, far closer to the Republican median of 4 than tothe Democratic median of 83. The shift in medianfrom 1993–1994 to 1994–1995 involved a change of over 25points in one election – far and away the greatestsingle shift in ideology of the modern era. Incontrast, the mean changed only 1 point overthis same period. Second, for the three decades weinvestigated, we found three historical epochs vis a visthe relative locations of the ADA (or ACU) floormedian and the ADA (or ACU) floor mean in the U.S.House of Representatives – two inflection points in1983 and 1994 which are related to trends in regionalrealignment.
14 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 |