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Institution

Rensselaer Polytechnic Institute

EducationTroy, New York, United States
About: Rensselaer Polytechnic Institute is a education organization based out in Troy, New York, United States. It is known for research contribution in the topics: Terahertz radiation & Finite element method. The organization has 19024 authors who have published 39922 publications receiving 1414699 citations. The organization is also known as: RPI & Rensselaer Institute.


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Journal ArticleDOI
TL;DR: In this article, a series of vapor-absent (i.e., Pfluid < Ptotal) melting experiments on four natural basaltic compositions were conducted at 8, 16, 22 and 32 kbar in order to assess the validity of models for the origin of Archean granitoids which assume a mafic crustal source.

1,142 citations

Journal ArticleDOI
TL;DR: Support is offered for the view that pattern recognition is a key component of opportunity recognition, as it is proposed that ideas for new products or services often emerge from the perception of such patterns.
Abstract: It is suggested that the recognition of new business opportunities often involves pattern recognition---the cognitive process through which individuals identify meaningful patterns in complex arrays of events or trends. Basic research on pattern recognition indicates that cognitive frameworks acquired through experience (e.g., prototypes) play a central role in this process. Such frameworks provide individuals with a basis for noticing connections between seemingly independent events or trends (e.g., advances in technology, shifts in markets, changes in government policies, etc.), and for detecting meaningful patterns in these connections. We propose that ideas for new products or services often emerge from the perception of such patterns. New business opportunities are identified when entrepreneurs, using relevant cognitive frameworks, “connect the dots” between seemingly unrelated events or trends and then detect patterns in these connections suggestive of new products or services. To obtain evidence on these proposals, we compared the “business opportunity” prototypes of novice (first-time) and repeat (experienced) entrepreneurs---their cognitive representations of the essential nature of opportunities. As predicted, the prototypes of experienced entrepreneurs were more clearly defined, richer in content, and more concerned with factors and conditions related to actually starting and running a new venture (e.g., generation of positive cash flow) than the prototypes of novice entrepreneurs. These findings offer support for the view that pattern recognition is a key component of opportunity recognition.

1,139 citations

Journal ArticleDOI
Brian Yanny1, Constance M. Rockosi2, Heidi Jo Newberg3, Gillian R. Knapp4, Jennifer K. Adelman-McCarthy1, Bonnie Alcorn1, S. Allam1, Carlos Allende Prieto5, Carlos Allende Prieto6, Deokkeun An7, K. S. J. Anderson8, K. S. J. Anderson9, Scott F. Anderson10, Coryn A. L. Bailer-Jones11, Steve Bastian1, Timothy C. Beers12, Eric F. Bell11, Vasily Belokurov13, Dmitry Bizyaev9, Norm Blythe9, John J. Bochanski10, William N. Boroski1, Jarle Brinchmann14, J. Brinkmann9, Howard Brewington9, Larry N. Carey10, Kyle M. Cudworth15, Michael L. Evans10, Nick Evans13, Evalyn Gates15, Boris T. Gänsicke16, Bruce Gillespie9, G. F. Gilmore13, Ada Nebot Gomez-Moran, Eva K. Grebel17, Jim Greenwell10, James E. Gunn4, Cathy Jordan9, Wendell Jordan9, Paul Harding18, Hugh C. Harris, John S. Hendry1, Diana Holder9, Inese I. Ivans4, Željko Ivezić10, Sebastian Jester11, Jennifer A. Johnson7, Stephen M. Kent1, S. J. Kleinman9, Alexei Y. Kniazev11, Jurek Krzesinski9, Richard G. Kron15, Nikolay Kuropatkin1, Svetlana Lebedeva1, Young Sun Lee12, R. French Leger1, Sébastien Lépine19, Steve Levine, Huan Lin1, Dan Long9, Craig P. Loomis4, Robert H. Lupton4, O. Malanushenko9, Viktor Malanushenko9, Bruce Margon2, David Martínez-Delgado11, P. M. McGehee20, Dave Monet, Heather L. Morrison18, Jeffrey A. Munn, Eric H. Neilsen1, Atsuko Nitta9, John E. Norris21, Daniel Oravetz9, Russell Owen10, Nikhil Padmanabhan22, Kaike Pan9, R. S. Peterson1, Jeffrey R. Pier, Jared Platson1, Paola Re Fiorentin11, Paola Re Fiorentin23, Gordon T. Richards24, Hans-Walter Rix11, David J. Schlegel22, Donald P. Schneider25, Matthias R. Schreiber26, Axel Schwope, Valena C. Sibley1, Audrey Simmons9, Stephanie A. Snedden9, J. Allyn Smith27, Larry Stark10, Fritz Stauffer9, Matthias Steinmetz, Christopher Stoughton1, Mark SubbaRao28, Mark SubbaRao15, Alexander S. Szalay29, Paula Szkody10, Aniruddha R. Thakar29, Sivarani Thirupathi12, Douglas L. Tucker1, A. Uomoto30, Daniel E. Vanden Berk25, S. Vidrih17, Yogesh Wadadekar4, Yogesh Wadadekar31, S. Watters9, R. Wilhelm32, Rosemary F. G. Wyse29, Jean Yarger9, Daniel B. Zucker13 
TL;DR: The Sloan Extension for Galactic Understanding and Exploration (SEGUE) Survey as mentioned in this paper obtained approximately 240,000 moderate-resolution spectra from 3900 to 9000 of fainter Milky Way stars (14.0 10 per resolution element).
Abstract: The Sloan Extension for Galactic Understanding and Exploration (SEGUE) Survey obtained {approx}240,000 moderate-resolution (R {approx} 1800) spectra from 3900 {angstrom} to 9000 {angstrom} of fainter Milky Way stars (14.0 10 per resolution element, stellar atmospheric parameters are estimated, including metallicity, surface gravity, and effective temperature. SEGUE obtained 3500 deg{sup 2} of additional ugriz imaging (primarily at low Galactic latitudes) providing precise multicolor photometry ({sigma}(g, r, i) {approx} 2%), ({sigma}(u, z) {approx} 3%) and astrometry ({approx}0.1) for spectroscopic target selection. The stellar spectra, imaging data, and derived parameter catalogs for this survey are publicly available as part of Sloan Digital Sky Survey Data Release 7.

1,133 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the role of cognitive processes in entrepreneurship and propose several cognitive mechanisms, such as counterfactual thinking, affect infusion, planning fallacy, and self-justification.

1,131 citations

Journal ArticleDOI
TL;DR: In this paper, the authors use cognitive frameworks they possess to connect the dots between changes in technology, demographics, markets, government policies, and other factors, and the patterns they then perceive in these events or trends suggest ideas for new products or services.
Abstract: Executive Overview How do entrepreneurs identify opportunities for new business ventures? One possibility, suggested by research on human cognition, is that they do so by using cognitive frameworks they have acquired through experience to perceive connections between seemingly unrelated events or trends in the external world. In other words, they use cognitive frameworks they possess to “connect the dots” between changes in technology, demographics, markets, government policies, and other factors. The patterns they then perceive in these events or trends suggest ideas for new products or services—ideas that can potentially serve as the basis for new ventures. This pattern recognition perspective on opportunity identification is useful in several respects. First, it helps integrate into one basic framework three factors that have been found to play an important role in opportunity recognition: engaging in an active search for opportunities; alertness to them; and prior knowledge of an industry or market. I...

1,128 citations


Authors

Showing all 19133 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Zhenan Bao169865106571
Murray F. Brennan16192597087
Ashok Kumar1515654164086
Joseph R. Ecker14838194860
Bruce E. Logan14059177351
Shih-Fu Chang13091772346
Michael G. Rossmann12159453409
Richard P. Van Duyne11640979671
Michael Lynch11242263461
Angel Rubio11093052731
Alan Campbell10968753463
Boris I. Yakobson10744345174
O. C. Zienkiewicz10745571204
John R. Reynolds10560750027
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022177
20211,118
20201,356
20191,328
20181,245