A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...

Purpose Since its implementation, temporomandibular joint (TMJ) arthrocentesis can be performed with cannulas of different diameters. The aim of this study was to determine the differences in cannula diameter for TMJ ...

X-ray angiography systems are essential method of diagnosis of coronary arteries from angiography images. Coronary angiography is known as the gold standard; for the evaluation of coronary artery disease. Nevertheless, ...

The world urgently needs effective antiviral approaches against emerging viruses, as shown by the coronavirus disease 2019 (COVID-19) pandemic, which has become an exponentially growing health crisis. Scientists from ...

The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...

There are many element analysis methods for substances whose element diversity is unknown. One of them is the photon activation analysis method (IPAA). In this study, photon activation analysis method(IPAA), which is a ...

In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...

Most of the radioisotopes used in the medical fields, like examination and treatment studies, were produced by employing nuclear reactions. Within the process of a nuclear reaction, one of the most important parameters is ...

The use of graphene and multi-walled carbon nanotubes (MWCNTs) has now become rather common in medical applications as well as several other areas thanks to their useful physicochemical properties. While in vitro testing ...