Quantitative characterization of different entanglement detection criteria for bipartite systems is presented. We review the implication sequence these and then numerically estimate volume ratios between non-violating quantum states all states. The numerical approach based on hit-and-run algorithm, which applied to convex set embedded into a Euclidean vector space Hilbert-Schmidt inner product....

Background: Intra-operative molecular diagnostic assays are currently used for the detection of lymph node metastases. The objective of this study was to find new biomarkers to improve diagnostic accuracy in the detection of metastatic axillary lymph nodes in breast cancer patients. Methods: We applied an absolute quantitative real-time RT-PCR to quantitate the expression of CK19, KLK11, and CL...

A simple and sensitive high performance liquid chromatographic method with electrochemical detection is described for the quantitative determination of the amoxycillin and clavulanic acid in pharmaceutical dosage forms. Separation of sample components occurs on a reversed phase C18 column with a mobile phase consisting of methanol-water-phosphate buffer. For the amperometric detection, the pote...

Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...

Introduction: Development of brain edema following focal cerebral ischemia exacerbates primary ischemic injury. Blood brain barrier (BBB) opening is an important part of edema named as vasogenic brain edema. In this study, quantitative alterations of BBB permeability is experimentally evaluated using transient focal cerebral ischemia in the rat. Methods: Two groups of male rats (ischemic and sh...

Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...

Molecular beacons are efficient and useful tools for quantitative detection of specific target nucleic acids. Thanks to their simple protocol, molecular beacons have great potential as substrates for biomolecular computing. Here we present a molecular beacon-based biomolecular computing method for quantitative detection and analysis of target nucleic acids. Whereas the conventional quantitative...