Abstract: Introduction: Nowadays, about 50-65% of births in Iran occur by Cesarean Section (CS). Informed consent (IC) is one of the most important ethical, legal and professional requirements of a surgical procedure. Objectives: This study aims to assess the quality of obtaining surgical IC from women underwent CS in public hospitals of Iran. Materials and Methods: In this analytical study ...

Suppose that T is a bounded operator on a nonzero Banach space X . Given a vector x ∈ X , we say that x is hypercyclic for T if the orbit OrbTx = {T x}n is dense in X . Similarly, x is said to be weakly hypercyclic if OrbTx is weakly dense in X . A bounded operator is called hypercyclic or weakly hypercyclic if it has a hypercyclic or, respectively, a weakly hypercyclic vector. It is shown in [...

Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS, and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the struc...

The objective of this study was to compare adrenal responsiveness to stimulation with exogenous ACTH, in calm and temperamental heifers. Two-year old, spring born Brahman heifers comprised the two temperament groups that were selected using exit velocity (EV). The calm (C) and temperamental (T) groups consisted of the 6 slowest (EV=1.05±.05 m/sec) and 6 fastest (EV=3.14±0.22 m/sec) two-year old...

Reducing acquisition time is of fundamental importance in various imaging modalities. The concept of variable density sampling provides a nice framework to address this issue. It was justified recently from a theoretical point of view in the compressed sensing (CS) literature. Unfortunately, the sampling schemes suggested by current CS theories may not be relevant since they do not take the acq...

Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure a...

The travelling salesman problem (TSP) is an NP-hard in combinatorial optimization. It has assumed significance operations research and theoretical computer science. was first formulated 1930 since then, been one of the most extensively studied problems In fact, it used as a benchmark for many optimization methods. This paper represents new method to addressing TSP using improved version cuckoo ...

Background Compressed sensing (CS) is an efficient tool that accelerates the data acquisition in MRI through the significant reduction of required measurements for image reconstruction. In recent years, there have been significant interests in the use of Compressed Sensing (CS) in Dynamic applications [1]. Since Cine cardiac images, as a dynamic data, has both spatial and temporal sparsity, it ...

Modal analysis classicaly used signals that respect the Shannon/Nyquist theory. Compressive sampling (or Compressed Sampling, CS) is a recent development in digital signal processing that offers the potential of high resolution capture of physical signals from relatively few measurements, typically well below the number expected from the requirements of the Shannon/Nyquist sampling theorem. Thi...

For most of vibration signals of civil infrastructures have sparse characteristic, namely, only a few modes contribute to the vibration of the structures. Additionally, the measured vibration data by the sensors placed on different locations of structure almost has same sparse structure in the frequency domain. Based on this group sparsity of the vibration data of structure, the group sparse op...