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Institution

Indiana University

EducationBloomington, Indiana, United States
About: Indiana University is a education organization based out in Bloomington, Indiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 64480 authors who have published 150058 publications receiving 6392902 citations. The organization is also known as: Indiana University system & indiana.edu.


Papers
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Journal ArticleDOI
TL;DR: A new model of recognition memory is reported, placed within, and introduces, a more elaborate theory that is being developed to predict the phenomena of explicit and implicit, and episodic and generic, memory.
Abstract: A new model of recognition memory is reported. This model is placed within, and introduces, a more elaborate theory that is being developed to predict the phenomena of explicit and implicit, and episodic and generic, memory. The recognition model is applied to basic findings, including phenomena that pose problems for extant models: the list-strength effect (e.g., Ratcliff, Clark, & Shiffrin, 1990), the mirror effect (e.g., Glanzer & Adams, 1990), and the normal-ROC slope effect (e.g., Ratcliff, McKoon, & Tindall, 1994). The model assumes storage of separate episodic images for different words, each image consisting of a vector of feature values. Each image is an incomplete and error prone copy of the studied vector. For the simplest case, it is possible to calculate the probability that a test item is “old,” and it is assumed that a default “old” response is given if this probability is greater than .5. It is demonstrated that this model and its more complete and realistic versions produce excellent qualitative predictions.

850 citations

Journal ArticleDOI
TL;DR: An institutionalist concept of a social actor whose everyday interactions are infused with ICT use is developed and it is suggested that such a shift will sharpen perceptions of how organizational contexts shape ICT-related practices, and help researchers more accurately portray the complex and multiple roles that people fulfill while adopting, adapting, and using information systems.
Abstract: A concept of the user is fundamental to much of the research and practice of information systems design, development, and evaluation. User-centered information studies have relied on individualistic cognitive models to carefully examine the criteria that influence the selection of information and communication technologies (ICTs) that people make. In many ways, these studies have improved our understanding of how a good information resource fits the people who use it. However, research approaches based on an individualistic user concept are limited. In this paper, we examine the theoretical constructs that shape this user concept and contrast these with alternative views that help to reconceptualize the user as a social actor. Despite pervasive ICT use, social actors are not primarily users of ICTs. Most people who use ICT applications utilize multiple applications, in various roles, and as part of their efforts to produce goods and services while interacting with a variety of other people, and often in multiple social contexts. Moreover, the socially thin user construct limits our understanding of information selection, manipulation, communication, and exchange within complex social contexts. Using analyses from a recent study of online information service use, we develop an institutionalist concept of a social actor whose everyday interactions are infused with ICT use. We then encourage a shift from the user concept to a concept of the social actor in IS research. We suggest that such a shift will sharpen perceptions of how organizational contexts shape ICT-related practices, and at the same time will help researchers more accurately portray the complex and multiple roles that people fulfill while adopting, adapting, and using information systems.

847 citations

Journal ArticleDOI
TL;DR: In this article, the effects of environmental problems on migration in recent decades were explored and the authors argued that people living in lesser developed countries may be more likely to leave affected areas, which may cause conflict in receiving areas.

847 citations

Journal ArticleDOI
22 Jul 1993-Nature
TL;DR: The Ras polypeptide and the amino-terminal regulatory domain of Raf-1 are shown to interact, directly in vitro and in a yeast expression system, and Mutations in and around the Ras effector domain impair Ras binding to Raf- 1(1-257) and Ras transforming activity in parallel.
Abstract: In higher eukaryotes, the Ras and Raf-1 proto-oncoproteins transduce growth and differentiation signals initiated by tyrosine kinases. The Ras polypeptide and the amino-terminal regulatory domain of Raf-1(residues 1–257) are shown to interact, directly in vitro and in a yeast expression system. Raf-1(1-257) binds GTP-Ras in preference to GDP-Ras, and inhibits Ras-GAP activity. Mutations in and around the Ras effector domain impair Ras binding to Raf-1(1-257) and Ras transforming activity in parallel.

844 citations

Journal ArticleDOI
TL;DR: In this paper, preference-restricted nonlinear pricing kernels are proposed for the cross-section of returns and are able to significantly improve upon linear single-and multi-factor kernels.
Abstract: This paper investigates nonlinear pricing kernels in which the risk factor is endogenously determined and preferences restrict the definition of the pricing kernel. These kernels potentially generate the empirical performance of nonlinear and multifactor models, while maintaining empirical power and avoiding ad hoc specifications of factors or functional form. Our test results indicate that preferencerestricted nonlinear pricing kernels are both admissible for the cross section of returns and are able to significantly improve upon linear single- and multifactor kernels. Further, the nonlinearities in the pricing kernel drive out the importance of the factors in the linear multi-factor model.

844 citations


Authors

Showing all 64884 results

NameH-indexPapersCitations
Frank B. Hu2501675253464
Stuart H. Orkin186715112182
Bruce M. Spiegelman179434158009
David R. Williams1782034138789
D. M. Strom1763167194314
Markus Antonietti1761068127235
Lei Jiang1702244135205
Brenda W.J.H. Penninx1701139119082
Nahum Sonenberg167647104053
Carl W. Cotman165809105323
Yang Yang1642704144071
Jaakko Kaprio1631532126320
Ralph A. DeFronzo160759132993
Gavin Davies1592036149835
Tyler Jacks158463115172
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023127
2022694
20217,272
20207,310
20196,943
20186,496