Image Formation Theory and Experiment Based on ML Criterion and EM Algorithm

Destination image formation theory postulates that image affects destination choice, but that only induced image can be improved by marketing. Our study shows that this is not the case. We demonstrate how a destination can proactively and deliberately manage the organic image of being environmentally sustainable by redirecting money typically spent on communicating green credentials towards the implementation of publicly visible pro-environmental initiatives. With organic image being a key driver of destination choice, investing in pro-environmental initiatives suddenly becomes a rational marketing investment. This is particularly important given the increasing environmental concern of consumers. The invaluable side-effect of redirecting “green marketing dollars” towards “green action dollars” is the improved environmental performance of the destination

Kinetics of Biomacromolecular Complex Formation: Theory and Experiment

Protein-Protein Complexes ◽

10.1142/9781848163409_0004 ◽

2010 ◽

pp. 89-118

Author(s):

Georgi V. Pachov ◽

Razif R. Gabdoulline ◽

Rebecca C. Wade

Keyword(s):

Complex Formation ◽

Formation Theory ◽

Kinetics Of ◽

Theory And Experiment

Simulating the fine structure in HRTEM images of defects

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100175375 ◽

1990 ◽

Vol 48 (4) ◽

pp. 448-449

Author(s):

M. J. Mills

Keyword(s):

Structural Information ◽

Memory Capacity ◽

Atomic Scale ◽

Formation Theory ◽

Crystalline Defects ◽

Essential Step ◽

Transmission Electron ◽

Properties Of Materials ◽

Image Simulations ◽

Image Formation Theory

The macroscopic properties of materials are often determined by the atomic structure of crystalline defects. High resolution transmission electron microscopy (HRTEM) enables the study of internal defects on the atomic scale. Image simulations represent an essential step in these studies since it is generally not possible to deduce the atomic positions near defects directly from the image intensities. Fortunately, image simulations which employ the multislice method and incorporate image formation theory for partially coherent illumination offer an accurate means of simulating images. With the availability of faster computers with larger memory capacity, the routine calulation of images of aperiodic defects is now feasible. This discussion will focus on the use of image simulations to extract structural information at defects, and to account for the artifacts which are frequently encountered in these studies.

The gel point and network formation – theory and experiment

Polymer Bulletin ◽

10.1007/s00289-006-0614-3 ◽

2006 ◽

Vol 58 (1) ◽

pp. 15-25 ◽

Cited By ~ 19

Author(s):

J.I. Cail ◽

R.F.T. Stepto

Keyword(s):

Network Formation ◽

Gel Point ◽

Formation Theory ◽

Theory And Experiment

The 'well-known' theory of electron image formation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100075233 ◽

1983 ◽

Vol 41 ◽

pp. 288-289

Author(s):

M.A. O'Keefe ◽

W.O. Saxton

Keyword(s):

Image Processing ◽

Image Formation ◽

Source Profiles ◽

Electron Image

A recent paper by Kirkland on nonlinear electron image processing, referring to a relatively new textbook, highlights the persistence in the literature of calculations based on incomplete and/or incorrect models of electron imageing, notwithstanding the various papers which have recently pointed out the correct forms of the appropriate equations. Since at least part of the problem can be traced to underlying assumptions about the illumination coherence conditions, we attempt to clarify both the assumptions and the corresponding equations in this paper, illustrating the effects of an incorrect theory by means of images calculated in different ways.The first point to be made clear concerning the illumination coherence conditions is that (except for very thin specimens) it is insufficient simply to know the source profiles present, i.e. the ranges of different directions and energies (focus levels) present in the source; we must also know in general whether the various illumination components are coherent or incoherent with respect to one another.