The twistor space of the moduli solutions Hitchin's self-duality equations can be identified with Deligne-Hitchin $\lambda$-connections. We use real projective structures on Riemann surfaces to prove existence new components holomorphic sections space. Applying twistorial construction we show hyper-K\"ahler manifolds associated any compact surface genus $g\geq2$. These considered as spaces (cer...

hyper-igm syndromes are characterized by profound reduction of serum igg, iga, and ige levels with normal or increased concentrations of serum igm. cd40 ligand deficiency is x-linked form of the disease, which results in a lack of immunoglobulin class switching from igm to igg in b cells. in addition to the recurrent infections, a number of patients suffer from neutropenia. there are some evide...

BACKGROUND The vast majority of human genes (>70%) are alternatively spliced. Although alternative pre-mRNA processing is modified in multiple tumors, alternative hyper-splicing signatures specific to particular tumor types are still lacking. Here, we report the use of Affymetrix Human Exon Arrays to spot hyper-splicing events characteristic of myasthenia gravis (MG)-thymoma, thymic tumors whic...

Redundancy is a substantial concept when avoiding endless computation in theorem proving methods. In this paper, we are targeting a special class of tableau calculi, namely rigid clausal tableaux. These tableaux are (1) clausal in the sense that they consist solely of literals, and are (2) rigid in the sense that they employ rigid variables. Such calculi are e.g. rigid hyper tableaux [7] and mu...

Dynamic environment problems require adaptive solution methodologies which can deal with the changes in the environment during the solution process for a given problem. A selection hyper-heuristic manages a set of low level heuristics (operators) and decides which one to apply at each iterative step. Recent studies show that selection hyperheuristic methodologies are indeed suitable for solving...

Hyper-heuristics have emerged as automated high level search methodologies that manage a set of low level heuristics for solving computationally hard problems. A generic selection hyper-heuristic combines heuristic selection and move acceptance methods under an iterative single point-based search framework. At each step, the solution in hand is modified after applying a selected heuristic and a...