We present a technique for model-independent estimation of the inhomogeneity effect across multiple different acquisitions of the same subject, on the assumption of equal inhomogeneities in each image. The technique operates by integration of smoothed estimates of the local derivative of the bias field. Combination of evidence from multiple images is achieved at the derivative estimation stage ...

The usual perspective on technology spillovers from FDI sees the MNC subsidiary as a passive actor. It presumes that the technological superiority that spreads from subsidiaries to other firms in the host economy is initially created outside it by MNC parent companies, and is delivered to subsidiaries via international technology transfer. The role of subsidiaries is little more than to act as ...

Soft tissue rheumatism includes a wide spectrum of common lesions of the tendons, enthesis, tendon sheaths, bursae, ligaments and fasciae as well as nerve compression syndromes. Studies on the pathogenesis of these lesions do not support a major role for inflammation, thus questioning the rationale for glucocorticoid injections. This chapter reviews current indications for local glucocorticoid ...

Transparent boundary conditions (TBCs) for general Schrödinger– type equations on a bounded domain can be derived explicitly under the assumption that the given potential V is constant on the exterior of that domain. In 1D these boundary conditions are non–local in time (of memory type). Existing discretizations of these TBCs have accuracy problems and render the overall Crank–Nicolson finite d...

In this paper we propose Support Vector Random Fields (SVRFs), an extension of Support Vector Machines (SVMs) that explicitly models spatial correlations in multi-dimensional data. SVRFs are derived as Conditional Random Fields that take advantage of the generalization properties of SVMs. We also propose improvements to computing posterior probability distributions from SVMs, and present a loca...

one of the most important problems in geodesy is the unification of height datum. generally in geodesy; there are two types of height systems, the geometrical height based on ellipsoid and the physical height based on gravity-defined surface (zhang et al, 2009).local height datum is determined according to mean sea level (msl). in regarding to mismatch of mean sea level and geoid, on the one ha...

A standard stochastic global optimization method is applied to the challenging problem of finding the minimum energy conformation of a cluster of identical atoms interacting through the Lennard-Jones potential. The method proposed is based on the use of a two-phase local search procedure which is capable of significantly enlarge the basin of attraction of the global optimum. The experiments rep...

A newmultiobjective particle swarm optimization (MOPSO) technique for environmental/economic dispatch (EED) problem is proposed in this paper. The proposed MOPSO technique evolves a multiobjective version of PSO by proposing redefinition of global best and local best individuals in multiobjective optimization domain. The proposedMOPSO technique has been implemented to solve the EED problemwith ...