An efficient simulation algorithm for chemical kinetic systems with disparate rates is proposed. This new algorithm is quite general, and it amounts to a simple and seamless modification of the classical stochastic simulation algorithm (SSA), also known as the Gillespie [J. Comput. Phys. 22, 403 (1976); J. Phys. Chem. 81, 2340 (1977)] algorithm. The basic idea is to use an outer SSA to simulate...

The accurate forecasting of metal prices is great importance to industrial producers as the supply raw materials a very important part production. futures market subject many factors, and are highly volatile. In past, most relevant research has focused only on deterministic point forecasting, with less performed interval uncertainty forecasting. Therefore, this paper proposes novel model that c...

INTRODUCTION Non-functioning pituitary adenomas (NFPA) are often diagnosed late as invasive macroadenomas. The surgical resection is usually incomplete and about 50% of patients require additional surgery. Recent data suggest that somatostatin analogues (SSA), so important in the pharmacotherapy of acromegaly, can also be effective in the management of NFPA. MATERIAL AND METHODS We analysed d...

This paper describes methods for synthesizing the internal representation of a compiler into a hardware description language in order to program reconfigurable hardware devices. We demonstrate the usefulness of static single assignment (SSA) in reducing the amount of data communication in the hardware. However, the placement of Φ-nodes by current SSA algorithms is not optimal in terms of minimi...

The Square Scan Algorithm (SSA) was the first algorithm used to transform line features into vector representations automatically without any help from the user and without any use of other devices for instance, digitizer [1]. This paper presents some important modifications to the SSA algorithm. The main modification is done by drawing continuous squares to detect lines or branches without any...

Traffic accidents on urban roads are a major cause of death despite the development traffic safety measures. However, prediction casualties in road has not been deeply explored previous research. Effective forecasting methods for can improve manner accident warnings, further avoiding unnecessary loss. This paper provides practicable model forecast problems, which ten variables, including time c...

In order to accurately predict China’s future total energy consumption, this article constructs a random forest (RF)–sparrow search algorithm (SSA)–support vector regression machine (SVR)–kernel density estimation (KDE) model forecast consumption in 2022–2030. It is explored whether China can reach the relevant target 2030. This begins by using screen for influences be used as input set model. ...

In various biochemical systems, discrete and stochastic approaches are more appropriate than continuous and deterministic approaches when the system has small numbers of molecules. Before the emergence of the stochastic simulation algorithm (SSA) by Gillespie, chemical master equations were used to stochastically model. Solving the master equations is often mathematically intractable. Therefore...

Space division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for space division multiplexing (SDM). Although different papers have been published about the SSA and it...