In this work we develop an adaptive and reduced computational framework based on dimension-adaptive hierarchical approximation and reduced basis method for solving high-dimensional uncertainty quantification (UQ) problems. In order to tackle the computational challenge of “curse-ofdimensionality” commonly faced by these problems, we employ a dimension-adaptive tensor-product algorithm [29] and ...

Introduction: Non-invasive quantification of liver fat by Gradient echo (GRE) Technique is an interesting issue in quantitative MRI. Despite the numerous advantages of this technique, fat measurement maybe biased by confounding and effects. The aim of this study was to evaluate the GRE pulse sequences with different   and  weighting for liver fat quantification in patients with...

background: finding a suitable method for rapid, accurate and reliable estimation of absorbed dose has high priority in management of the radiation exposed persons. shortly after radiation exposure, apoptosis is a major detriment in proliferative tissues such as the hematopoietic system. therefore, quantification of apoptosis in these tissues could be useful for rapid estimation of radiation ex...

We discuss the thesis formulated by Hintikka (1973) that certain natural language sentences require non-linear quantification to express their meaning. We investigate sentences with combinations of quantifiers similar to Hintikka’s examples and propose a novel alternative reading expressible by linear formulae. This interpretation is based on linguistic and logical observations. We report on ou...

This study focuses on optimization and validation of an Ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method for simultaneous analysis of 11mycotoxins: Aflatoxin B1, T-2 Toxin, Ochratoxin A, Deoxynivalenol and Zearalenone in wheat matrix. Sample extraction and cleanup procedure is based on a single extraction step using acetonitrile/water/acetic acid mixture...