HIV-1 genome is highly heterogeneous. Due to this variation, features of HIV-I genome is in a wide range. For this reason, the ability to infection of the virus changes depending on different chemokine receptors. From this point of view, R5 HIV viruses use CCR5 coreceptor while X4 viruses use CXCR5 and R5X4 viruses can utilize both coreceptors. Recently, in Bioinformatics, R5X4 viruses have bee...

Base metal prices, especially steel, play a significant role in industrial economics, making them worth knowing about future values. In most cases, we expect superior performance from multivariate forecasting models comparing univariate methods due to the involvement of explanatory variables system. Standard vector auto regressive model can only capture short-run dynamics because differencing p...

The classification problem is solved for some type of nonlinear lattices. These lattices are closely related to the lattices of Ruijsenaars–Toda type and define the Bäcklund auto-transformations for the class of two-component hyperbolic systems.

A powerful parametric spectral estimation technique, 2D-ARMA (Auto Regressive Moving Average) modeling, has been applied to contrast transfer function (CTF) detection in electron microscopy. Parametric techniques such as AR (auto regressive) and ARMA models allow a more exact determination of the CTF than traditional methods based only on the Fourier Transform (FT). Previous works revealed that...

This study develops a sedimentation process model that simulate the effects of inflow water quality, treatment flow rate and outflow water quality. The model uses transfer function ARIMA (Auto-Regressive Moving Average) for reflecting the dynamic characteristics of the system The sedimentation model for outflow water turbidity are separated into low and high turbidity by input variables, turbid...

This paper proposes an alternative representation of the original version of the Logistic Smooth Transition Auto-Regressive (LSTAR) model. The Logistic Smooth Transition Auto-Regressive (LSTAR) and Exponential Smooth Transition Auto-Regressive (FSTAR) models are frequently used in empirical research. The LSTAR model describes asymmetrical nonlinear adjustment process, while the ESTAR model desc...

The paper discusses the properties of Auto-Regressive Integrated Moving Average (ARIMA) models and proceeds to estimate a model for monthly evolution annual inflation rate in Moldova from January 2013 October 2021. aim is develop relying exclusively upon historical as an additional instrument forecasting purposes. estimated explains close 97 % variation over model’s estimation period used gener...