Virus propagation methods generally use transformed cell lines to grow viruses from clinical specimens, which may force rapidly adapt culture conditions, a process facilitated by high viral mutation rates. Upon in VeroE6 cells, SARS-CoV-2 mutate or delete the multibasic cleavage site (MBCS) spike protein. Previously, we showed that MBCS facilitates serine protease-mediated entry into human airw...

Adaptive training is a powerful technique to build system on nonhomogeneous training data. A canonical model, representing “pure” speech variability and a set of transforms representing unwanted acoustic variabilities are trained. It is necessary to have transforms in order to deal with the testing acoustic conditions. One problem here is to robustly estimate the transforms parameters where the...

Introduction: the experts of radiology play a crucial role in the treatment programs of the patients in hospitals. Therefore, in order to recognize the needs, the experts’ opinion should be obtained about whether the educational program meets the job requirements or not. The purpose of the present study is to investigate the rate of adaptation between the courses of radiation technology and job...

his article, “history, adaptation and appropriation in cinema”, based on descriptive and analytical approach, tries to clarify new less known theoretical perspectives towards history, narrative and adaptation. the importance of the issue is intensified by the increased number of films adapted from historical texts. in other words, history texts have always been a source for film production, esp...

introduction: marginal adaptation of cast restorations is essential for their long-term success. as dentists usually assign ditching of dies to laboratory technicians, and ditching has a significant effect on marginal adaptation, the aim of this study was to compare ditching by laboratory technicians and standard approach on marginal adaptation of cast restoration. materials and methods: in thi...

Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...