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Self-determination and persistence in a real-life setting: Toward a motivational model of high school dropout.

by Robert J Vallerand , Michelle S Fbrtier , Frederic Guay - Journal of Personality and Social Psychology, , 1997
"... The purpose of this study was to propose and test a motivational model of high school dropout. The model posits that teachers, parents, and the school administration's behaviors toward students influence students' perceptions of competence and autonomy. The less autonomy supportive the so ..."
Abstract - Cited by 183 (19 self) - Add to MetaCart
revealed a significant main effect for school motivation, F(3.20, 14000) = 895.27, p < .0001. Newman-Keuls post hoc analyses revealed that the seven motivational subscales were significantly different from one another. The most important forms of motivation for participants in this sample were

Digital Repository @ Iowa State University

by David Michael Failing, David Michael Failing, Jonathan D. H. Smith, Sung-yell Song
"... Commutative, idempotent groupoids and the ..."
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Commutative, idempotent groupoids and the

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O&apos;hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
. 15 F. The Macro Structure of VC Networks Low density can suggest high centralization. A simple way to measure the overall centralization of a network (as opposed to the centrality of individual actors) is to express the network-wide variation in the actors' degree, betweenness, and eigenvector

POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR

by Dominique Tschopp, Prof E. Telatar, Prof S. Diggavi, Prof M. Grossglauser, Prof J. -y, Le Boudec, Prof M. Mitzenmacher, Prof S. Shakkottai
"... 2010 to my wife, Joyce, and my family...- Résumé- ..."
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2010 to my wife, Joyce, and my family...- Résumé-

An Infinite Set of Ward Identities for Adiabatic Modes in Cosmology

by Kurt Hinterbichlera, Lam Huib, Justin Khouryc
"... We show that the correlation functions of any single-field cosmological model with constant growing-modes are constrained by an infinite number of novel consistency relations, which relate N + 1-point correlation functions with a soft-momentum scalar or tensor mode to a symmetry transformation on N- ..."
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constrain — completely for n = 0, 1, and partially for n ≥ 2 — the qn behavior of the soft limits. The identities at n = 0 recover Maldacena’s original consistency relations for a soft scalar and tensor mode, n = 1 gives the recently-discovered conformal consistency relations, and the identities for n ≥ 2

ACKNOWLEDGMENTS

by Jennifer E. Michaels, Maysam Ghovanloo, James H. Mcclellan, Michael J. Leamy, George W. Woodruff, Laurence J. Jacobs, Thomas E. Michaels , 2011
"... First and foremost, I would like to thank my advisor, Prof. Jennifer E. Michaels. I am most appreciative of your guidance over the last four years, from the basics of elastic waves to both short- and long-term career advice. I have grown a tremendous amount, both profes-sionally and personally, and ..."
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First and foremost, I would like to thank my advisor, Prof. Jennifer E. Michaels. I am most appreciative of your guidance over the last four years, from the basics of elastic waves to both short- and long-term career advice. I have grown a tremendous amount, both profes-sionally and personally

unknown title

by unknown authors
"... ACKNOWLEDGMENTS I would like to give many thanks to Dr. Shengli Fu and Dr. Yan Huang as my advi- ..."
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ACKNOWLEDGMENTS I would like to give many thanks to Dr. Shengli Fu and Dr. Yan Huang as my advi-

Dumb money: Mutual fund flows and the cross section of stock returns,

by Andrea Frazzini , Owen A Lamont - Journal of Financial Economics, , 2008
"... We thank Nicholas Barberis and Judith Chevalier for helpful comments. We thank Breno Schmidt for research assistance. ABSTRACT We use mutual fund flows as a measure for individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb ..."
Abstract - Cited by 103 (4 self) - Add to MetaCart
sentiment affects stock prices, and specifically whether one can predict future stock returns using a flow-based measure of sentiment. If sentiment pushes stock prices above fundamental value, high sentiment stocks should have low future returns. For example, in 1999 investors sent $36 billion to Janus

Akademisk avhandling för teknisk doktorsexamen vid

by Kungl Tekniska Högskolan, Kth Tryck , 1994
"... mcmxciv This thesis deals with combinatorics in connection with Coxeter groups, finitely generated but not necessarily finite. The representation theory of groups as nonsingular matrices over a field is of immense theoretical importance, but also basic for computational group theory, where the group ..."
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mcmxciv This thesis deals with combinatorics in connection with Coxeter groups, finitely generated but not necessarily finite. The representation theory of groups as nonsingular matrices over a field is of immense theoretical importance, but also basic for computational group theory, where

RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing

by Jason Noah Laska , 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order
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