An experimentally motivated QCD analysis of the behaviour of the Adler D-function in the Euclidian region is described. It is stressed that by taking account of b-quark mass-dependent s-e ects one obtains better agreement between theoretical predictions and experimentally motivated behaviour of the D-function at large Euclidian momentum transfer. A more detailed analysis of QCD predictions, inc...

Sum rules for twist-3 distributions are reexamined. Integral relations between twist-3 and twist-2 parton distributions suggest the possibility for a δ-function at x = 0. We confirm and clarify this result by constructing hL and h 3 L (quark-gluon interaction dependent part of hL) explicitly from their moments for a one-loop dressed massive quark. The physics of these results is illustrated by ...

The advent of gene chips has led to a promising technology for cell, tumor, and cancer classification. We exploit and expand the methodology of recursive partitioning trees for tumor and cell classification from microarray gene expression data. To improve classification and prediction accuracy, we introduce a deterministic procedure to form forests of classification trees and compare their perf...

O(α) QED radiative corrections to neutral current deep inelastic production of heavy quarks are calculated in the leading log approximation and compared with the corresponding corrections assuming a massless charm parton. Besides the inclusive case, corrections to the semi-inclusive dσ/dxdydz and the effect of z-cuts are studied. In the latter case, the massless corrections differ from the corr...

We find the parameters of the MSSM in terms of bulk supergravity fields for the D-brane model of Berenstein, Jejjala and Leigh (hep-ph/0105042). The model consists of a D3-brane at the singularity of a non-abelian orbifold ∆27, which gives the particles of the Supersymmetric Standard Model. We compute the action for the D-brane fields in the presence of both supersymmetric and supersymmetry bre...

Current development in molecular techniques has extended the opportunities to explore genetic alterations in malignant tissue. There is a need to improve prognostication and, in particular, to understand the mechanisms of treatment resistance in different tumours. Gene analyses by microarrays allow concomitant analyses of several genes in concert, providing new opportunities for tumour classifi...

A knowledge of the radial distributions of quarks inside hadrons could lead to a better understanding of the QCD description of these hadrons and possibly suggest forms for phenomenological models. As a step in this direction, we have measured the charge (vector) and matter (scalar) densities of a heavy-light meson. More explicitly, the heavy-light meson is simplified to being an infinitely hea...

We develop a bottom-up approach to constructing a theory of fermion masses and mixing angles based on the gauge group SU(3) × G where SU(3) is a family symmetry and G contains a unified group such as SO(10) or its Pati-Salam subgroup, together with other discrete symmetries. We construct a realistic model and show that it can provide an excellent description of quark and lepton masses and mixin...

We study the dynamics of a ‘composite’ or ‘dressed’ quark in stronglycoupled large-Nc N = 4 super-Yang-Mills, making use of the AdS/CFT correspondence. We show that the standard string dynamics nicely captures the physics of the quark and its surrounding non-Abelian field configuration, making it possible to derive a relativistic equation of motion that incorporates the effects of radiation dam...

Locally Weighted Learning is a class of function approximation techniques, where a prediction is done by using an approximated local model around the current point of interest. This paper gives an general overview on the topic and shows two different solution algorithms. Finally some successful applications of LWL in the field of Robot Learning are presented.