Regular consumption of vitamin D doses can improve heart function in patients with heart failure. The present study aimed to investigate the effect of vitamin D on the recovery process of neonates, infants, and children with Congenital Heart Disease (CHD) following reconstructive cardiac surgery. Materials and Methods: In this sing...

Deconvolution techniques have long been used for image reconstruction, and because it works particularly well on sparse images, it has recently been applied successfully in stochastic optical reconstruction microscopy (STORM) [1,2]. While having the advantage of using genetically encoded probes (applicable in live-cell imaging) photoactivated localization microscopy PALM [3] however, presents d...

The fixed window function used in the short-time Fourier transform (STFT) does not guarantee both time and frequency resolution, exerting a negative impact on subsequent study of time-frequency analysis (TFA). To avoid these limitations, post-processing method that enhances resolution using deep-learning (DL) framework is proposed. Initially, deconvolution theoretical formula derived operation ...

Reflection coefficients are observed in nature to have stochastic behavior that departs significantly from the white noise model. Conventional deconvolution methods, however, assume reflectivity to be a white noise process. In this paper we analyze the deconvolution process, study the implications of the assumption of white noise, and show that the conventional operator can recover only the whi...

Abstract This paper describes a possible approach of designing an unconventional turbocharger using co-simulation method. Our goal is to design turbochargers running optimally during pulsating and transient modes. It means develop tool capable between 3-D 1-D CFD. must be fast precise enough provide reliable result. Influence coarse mesh versus fine was examined. Different time step size applie...

Minimum entropy deconvolution (MED) is a technique developed by Wiggins (1978) with the purpose of separating the components of a signal, as the convolution model of a smooth wavelet with a series of impulses. The advantage of this method, as compared with traditional methods, is that it obviates strong hypotheses over the components, which require only the simplicity of the output. The degree ...

Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of light. The purpose of deconvolution microscopy is to compensate numerically for this degradation. Deconvolution is widely used to restore fine details of 3D biological samples. Unfortunately, dealing with deconvolution tools is not straightforward. Among others, end users have to select the appropriate a...