Mass spectrometry is currently the most commonly used technology in biochemical research for proteomic analysis. The main goal of proteomic profiling using mass spectrometry is the classification of samples from different clinical states. This requires the identification of proteins or peptides (biomarkers) that are expressed differentially between different clinical states. However, due to the...

Two possible reasons for the narrow peak observation in the invariant mass spectrum of the pK 0 s close to 1.54 GeV/c 2 are discussed.

Consider the focusing mass-critical nonlinear Hartree equation iut + u=−(| · |−2 ∗ |u|2)u for spherically symmetric H 1 x initial data with ground state mass M(Q) in dimension d 5. We show that any global solution u which does not scatter must be the solitary wave eitQ up to phase rotation and scaling. © 2008 Elsevier Inc. All rights reserved. MSC: 35Q55

We study the spectrum of hadronic states made up of very massive complex scalar fields in a confining gauge theory admitting a supergravity dual background. We show that for a sub-sector of operators dual to certain spinning strings, the mass spectrum exhibits an integrable structure equal to the Heisenberg spin chain, up to an overall factor. This result is compared with the corresponding stri...

BACKGROUND Breast cancer is the leading cause of both incidence and mortality in women population. For this reason, much research effort has been devoted to develop Computer-Aided Detection (CAD) systems for early detection of the breast cancers on mammograms. In this paper, we propose a new and novel dictionary configuration underpinning sparse representation based classification (SRC). The ke...

Breast cancer is a neoplasia that affects a high number of women in the world every year and it is the second on ranking of the diseases that more affects women. Mammography is the most important exam to aid in early detection and diagnosis of breast cancer. Computational methods have been developed to assist the radiologist in diagnosis and to improve the perception of the results. Feature ext...

Rock mass classification is analogous to multi-feature pattern recognition problem. The objective is to assign a rock mass to one of the pre-defined classes using a given set of criteria. This process involves a number of subjective uncertainties stemming from: (a) qualitative (linguistic) criteria; (b) sharp class boundaries; (c) fixed rating (or weight) scales; and (d) variable input reliabil...

Abstract Amongst all types of cancer, breast cancer has become one the most common cancers in UK threatening millions people’s health. Early detection plays a key role timely treatment for morbidity reduction. Compared to biopsy, which takes tissues from lesion further analysis, image-based methods are less time-consuming and pain-free though they hampered by lower accuracy due high false posit...