Institution
Dartmouth College
Education•Hanover, New Hampshire, United States•
About: Dartmouth College is a education organization based out in Hanover, New Hampshire, United States. It is known for research contribution in the topics: Population & Health care. The organization has 20740 authors who have published 51426 publications receiving 2796969 citations. The organization is also known as: Dartmouth.
Topics: Population, Health care, Cancer, Mental health, Poison control
Papers published on a yearly basis
Papers
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TL;DR: The evidence is quite" clear on one point: good firms become exporters, both growth rates and levels of success measures" are higher ex-ante for exporters as mentioned in this paper.
Abstract: A growing body of empirical work has documented the superior performance characteristics" of exporting plants and firms relative to non-exporters. Employment, shipments and capital intensity are all higher at exporters at any given moment. This paper asks whether good" firms become exporters or whether exporting improves firm performance. The evidence is quite" clear on one point: good firms become exporters, both growth rates and levels of success measures" are higher ex-ante for exporters. The benefits of exporting for the firm are less clear. Employment" growth and the probability of survival are both higher for exporters; however growth is not superior, particularly over longer horizons.
2,923 citations
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TL;DR: The recent explosion in the field of biofilm research has led to exciting progress in the development of new technologies for studying these communities, advanced the authors' understanding of the ecological significance of surface-attached bacteria, and provided new insights into the molecular genetic basis ofBiofilm development.
Abstract: Biofilms are complex communities of microorganisms attached to surfaces or associated with interfaces. Despite the focus of modern microbiology research on pure culture, planktonic (free-swimming) bacteria, it is now widely recognized that most bacteria found in natural, clinical, and industrial settings persist in association with surfaces. Furthermore, these microbial communities are often composed of multiple species that interact with each other and their environment. The determination of biofilm architecture, particularly the spatial arrangement of microcolonies (clusters of cells) relative to one another, has profound implications for the function of these complex communities. Numerous new experimental approaches and methodologies have been developed in order to explore metabolic interactions, phylogenetic groupings, and competition among members of the biofilm. To complement this broad view of biofilm ecology, individual organisms have been studied using molecular genetics in order to identify the genes required for biofilm development and to dissect the regulatory pathways that control the plankton-to-biofilm transition. These molecular genetic studies have led to the emergence of the concept of biofilm formation as a novel system for the study of bacterial development. The recent explosion in the field of biofilm research has led to exciting progress in the development of new technologies for studying these communities, advanced our understanding of the ecological significance of surface-attached bacteria, and provided new insights into the molecular genetic basis of biofilm development.
2,910 citations
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TL;DR: Verification and validation of numerical models of natural systems is impossible because natural systems are never closed and because model results are always nonunique.
Abstract: Verification and validation of numerical models of natural systems is impossible. This is because natural systems are never closed and because model results are always nonunique. Models can be confirmed by the demonstration of agreement between observation and prediction, but confirmation is inherently partial. Complete confirmation is logically precluded by the fallacy of affirming the consequent and by incomplete access to natural phenomena. Models can only be evaluated in relative terms, and their predictive value is always open to question. The primary value of models is heuristic.
2,909 citations
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TL;DR: In this paper, it is shown that most observations are consistent with models right up to the w − 1 or cosmological constant (Λ) limit, and it is natural to ask what lies on the other side, at w
2,909 citations
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TL;DR: The capability lifecycle (CLC) as mentioned in this paper provides a structure for a more comprehensive approach to dynamic resource-based theory, incorporating the founding, development, and maturity of capabilities in a manner that helps to explain the sources of heterogeneity in organizational capabilities.
Abstract: This article introduces the concept of the capability lifecycle (CLC), which articulates general patterns and paths in the evolution of organizational capabilities over time. The capability lifecycle provides a structure for a more comprehensive approach to dynamic resource-based theory. The analysis incorporates the founding, development, and maturity of capabilities in a manner that helps to explain the sources of heterogeneity in organizational capabilities. In addition, the analysis includes the ‘branching’ of an original capability into several possible altered forms. Copyright © 2003 John Wiley & Sons, Ltd.
2,902 citations
Authors
Showing all 20952 results
Name | H-index | Papers | Citations |
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Richard A. Flavell | 231 | 1328 | 205119 |
Stuart H. Orkin | 186 | 715 | 112182 |
Paul G. Richardson | 183 | 1533 | 155912 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Yang Yang | 164 | 2704 | 144071 |
Michael B. Sporn | 157 | 559 | 94605 |
Kun-Liang Guan | 143 | 427 | 94520 |
Joseph E. LeDoux | 139 | 478 | 91500 |
Edward L. Glaeser | 137 | 550 | 83601 |
Carl Nathan | 135 | 430 | 91535 |
Nikhil C. Munshi | 134 | 906 | 67349 |
George A. Bray | 131 | 896 | 100975 |
Valerie W. Rusch | 131 | 581 | 73809 |
Kim A. Eagle | 129 | 823 | 75160 |
Gerald R. Crabtree | 128 | 371 | 60973 |