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Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance,

by ] Richard Hackman , Grec R Oldham , 1976
"... A model is proposed that specifies the conditions under which individuals will become internally motivated to perform effectively on their jobs. The model focuses on the interaction among three classes of variables: (a) the psychological states of employees that must be present for internally motiv ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
motivated work behavior to develop; (b) the characteristics of jobs that can create these psychological states; and (c) the attributes of individuals that determine how positively a person will respond to a complex and challenging job. The model was tested for 658 employees who work on 62 different jobs

Graphcut textures: Image and video synthesis using graph cuts

by Vivek Kwatra, Arno Schödl, Irfan Essa, Greg Turk, Aaron Bobick - ACM Transactions on Graphics, SIGGRAPH 2003 , 2003
"... This banner was generated by merging the source images in Figure 6 using our interactive texture merging technique. In this paper we introduce a new algorithm for image and video texture synthesis. In our approach, patch regions from a sample image or video are transformed and copied to the output a ..."
Abstract - Cited by 490 (9 self) - Add to MetaCart
. Unlike dynamic programming, our graph cut technique for seam optimization is applicable in any dimension. We specifically explore it in 2D and 3D to perform video texture synthesis in addition to regular image synthesis. We present approximative offset search techniques that work well in conjunction

Duality Symmetry and Soldering in Different Dimensions

by R. Banerjee, C. Wotzasek , 1997
"... We develop a systematic method of obtaining duality symmetric actions in different dimensions. This technique is applied for the quantum mechanical harmonic oscillator, the scalar field theory in two dimensions and the Maxwell theory in four dimensions. In all cases there are two such distinct actio ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
We develop a systematic method of obtaining duality symmetric actions in different dimensions. This technique is applied for the quantum mechanical harmonic oscillator, the scalar field theory in two dimensions and the Maxwell theory in four dimensions. In all cases there are two such distinct

On the distance between unitary propagators of quantum systems of differing dimensions. arXiv: quantph/0606064

by Robert L. Kosut, Matthew Grace, Constantin Brif, Herschel Rabitz - KL97] [LCW98] [NC00] [RW05] [RWA06 , 2006
"... differing dimensions ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
differing dimensions

Equivalence Theorem for Lagrangians in Different Dimensions

by L. M. Baker, South Road , 2000
"... A proof is given for the observation that the equations of motion for the companion Lagrangian without a square root, subject to some constraints, just reduce to the equations of motion for the companion Lagrangian with a square root in one less dimension. The companion Lagrangian is just an extensi ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
A proof is given for the observation that the equations of motion for the companion Lagrangian without a square root, subject to some constraints, just reduce to the equations of motion for the companion Lagrangian with a square root in one less dimension. The companion Lagrangian is just

Conformal Coupling and Invariance in Different Dimensions

by Martin Rainer , 1994
"... Conformal transformations of the following kinds are compared: (1) conformal coordinate transformations, (2) conformal transformations of Lagrangian models for a D-dimensional geometry, given by a Riemannian manifold M with metric g of arbitrary signature, and (3) conformal transformations of (mini- ..."
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geometry on n-dimensional minisuperspace. For dimension D = 3,4,6 or 10, the critical number ξc = simple as a rational fraction.

IDENTITIES FOR HYPERGEOMETRIC INTEGRALS OF DIFFERENT DIMENSIONS

by unknown authors , 2003
"... Abstract. Given complex numbers m1,l1 and positive integers m2,l2, such that m1 + m2 = l1 + l2, we define ˆl2-dimensional hypergeometric integrals Ia,b(z;m1,m2,l1,l2), a,b = 0,...,min(m2,l2), depending on a complex parameter z. We show that Ia,b(z;m1, m2,l1,l2) = Ia,b(z;l1,l2,m1,m2), thus establish ..."
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establishing an equality of l2 and ˆm2-dimensional integrals. This identity allows us to study asymptotics of the integrals with respect to their dimension in some examples. The identity is based on the (gl k,gl n) duality for the KZ and dynamical differential equations. Let κ be a positive number. integers

ON THE DIFFERENT DIMENSIONS OF EDUCATION AND TRAINING EDITORIAL

by Kenneth King, Kenneth King , 2003
"... Global targets & local realities: rethinking education and training for 4-7 ..."
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Global targets & local realities: rethinking education and training for 4-7

Component analysis with different sets of constraints on different dimensions.

by Yoshio Takane , Henk A L Kiers , Jan De Leeuw - Psychometrika , 1995
"... Many of the "classical" multivariate data analysis and multidimensional scaling techniques call for approximations by lower dimensional configurations. A model is proposed, in which different sets of linear constraints are imposed on different dimensions in component analysis and "cl ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
Many of the "classical" multivariate data analysis and multidimensional scaling techniques call for approximations by lower dimensional configurations. A model is proposed, in which different sets of linear constraints are imposed on different dimensions in component analysis and "

Estimating Ratios of Normalizing Constants for Densities With Different Dimensions

by Ming-hui Chen, Qi-man Shao - Statistica Sinica , 1997
"... Abstract: In Bayesian inference, a Bayes factor is defined as the ratio of posterior odds versus prior odds where posterior odds is simply a ratio of the normalizing constants of two posterior densities. In many practical problems, the two posteriors have different dimensions. For such cases, the cu ..."
Abstract - Cited by 17 (4 self) - Add to MetaCart
Abstract: In Bayesian inference, a Bayes factor is defined as the ratio of posterior odds versus prior odds where posterior odds is simply a ratio of the normalizing constants of two posterior densities. In many practical problems, the two posteriors have different dimensions. For such cases
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