Institution
Rutgers University
Education•New Brunswick, New Jersey, United States•
About: Rutgers University is a education organization based out in New Brunswick, New Jersey, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 68736 authors who have published 159418 publications receiving 6713860 citations. The organization is also known as: Rutgers, The State University of New Jersey & Rutgers.
Topics: Population, Poison control, Health care, Cancer, Galaxy
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the exchange-correlation energy of a jellium metal surface is analyzed in terms of the wavelength of the fluctuations that contribute to it, using a three-dimensional scheme different from that used by other authors.
Abstract: The exchange-correlation energy of a jellium metal surface is analyzed in terms of the wavelength of the fluctuations that contribute to it, using a three-dimensional scheme different from that used by other authors. It is shown that with this scheme there exists an exact limiting form at long wavelengths which includes all many-body correlations and which is independent of the surface density profile. The local-density approximation is formulated as a function of wavelength, and it is shown to be exact at short wavelength. The interpolation scheme between these limits, which was discussed previously, is formulated and checked more completely and used to calculate surface energies.
798 citations
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18 Jun 2007TL;DR: The concept of depression has been studied from ancient times through the nineteenth century as discussed by the authors, and depression in the twentieth century has been classified as depression with and without cause in the DSM-IV and DSM-III.
Abstract: 1 The concept of depression 2 The anatomy of normal sadness 3 Sadness with and without cause: depression from ancient times through the nineteenth century 4 Depression in the twentieth century 5 Depression in the DSM-IV 6 Importing pathology into the community 7 The surveillance of sadness 8 The DSM and biological research about depression 9 The rise of antidepressant drug treatments 10 The failure of the social sciences to distinguish sadness from depressive disorder 11 Conclusion
797 citations
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TL;DR: In this article, the authors examine the co-evolution of MNE activities and institutions external and internal to the firm, and highlight the scope for firm-level creativity and institutional entrepreneurship that may lead to coevolution with the environment.
Abstract: This paper examines the co-evolution of MNE activities and institutions external and internal to the firm. We develop a theoretical framework for this analysis that draws on the more recent writings of Douglass North on institutions as a response to complex forms of uncertainty associated with the rise in global economic interconnectedness, and of Richard Nelson on the co-evolution of technology and institutions. We link historical changes in the character of MNE activities to changes in the institutional environment, and highlight the scope for firm-level creativity and institutional entrepreneurship that may lead to co-evolution with the environment. We argue that the main drivers for institutional entrepreneurship are now found in the increasing autonomy of MNE subsidiaries. Thus MNE agency derives from more decentralized forms of experimentation in international corporate networks, which competence-creating nodes of new initiatives can co-evolve with local institutions. Unlike most other streams of related literature, our approach connects patterns of institutional change in wider business systems with more micro processes of variety generation and experimentation within and across individual firms. This form of co-evolutionary analysis is increasingly important to understanding the interrelationships between MNE activities and public policy.
795 citations
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TL;DR: The similarities among the various behaviors induced as adjuncts to the behaviors under direct schedule control are described in terms of their intensities, temporal loci, and the variables which produce them.
794 citations
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TL;DR: This work focuses on the best-studied subclasses, the neural cell adhesion molecule NCAM and the L1 family of adhesion molecules, which share important structural and functional features and are instructive for elucidating the mechanisms by which other recognition molecules may guide cell interactions during development or modify their function as a result of injury, learning and memory.
Abstract: Recognition molecules of the immunoglobulin superfamily have important roles in neuronal interactions during ontogeny, including migration, survival, axon guidance and synaptic targeting. Their downstream signal transduction events specify whether a cell changes its place of residence or projects axons and dendrites to targets in the brain, allowing the construction of a dynamic neural network. A wealth of recent discoveries shows that cell adhesion molecules interact with attractant and repellent guidance receptors to control growth cone and cell motility in a coordinate fashion. We focus on the best-studied subclasses, the neural cell adhesion molecule NCAM and the L1 family of adhesion molecules, which share important structural and functional features. We have chosen these paradigmatic molecules and their interactions with other recognition molecules as instructive for elucidating the mechanisms by which other recognition molecules may guide cell interactions during development or modify their function as a result of injury, learning and memory.
793 citations
Authors
Showing all 69437 results
Name | H-index | Papers | Citations |
---|---|---|---|
Salim Yusuf | 231 | 1439 | 252912 |
Daniel Levy | 212 | 933 | 194778 |
Eugene V. Koonin | 199 | 1063 | 175111 |
Eric Boerwinkle | 183 | 1321 | 170971 |
David L. Kaplan | 177 | 1944 | 146082 |
Derek R. Lovley | 168 | 582 | 95315 |
Mark Gerstein | 168 | 751 | 149578 |
Gang Chen | 167 | 3372 | 149819 |
Hongfang Liu | 166 | 2356 | 156290 |
Robert Stone | 160 | 1756 | 167901 |
Mark E. Cooper | 158 | 1463 | 124887 |
Michael B. Sporn | 157 | 559 | 94605 |
Cumrun Vafa | 157 | 509 | 88515 |
Wolfgang Wagner | 156 | 2342 | 123391 |
David M. Sabatini | 155 | 413 | 135833 |