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Additional file 1: Table S1. Sequences of proteasomal β5 subunits used for phylogenetic and alignment analysis. Table S2. Oligonucleotide primers (5’-3’) used in the present study.

Additional file 1: Table S1. Oligonucleotide primers (5’-3’) used in the present study.

Additional file 1: Table S1. Oligonucleotide primers used in the present study. Table S2. Sequences used for phylogenetic and alignment analyses.

Steam flooding and hot water flooding are the two main important thermal recovery methods for heavy oil reservoirs. Due to physicochemical properties difference of steam and hot water, the mechanism and production performance of hot water and steam flooding vary greatly. In this paper, steam and hot water flooding experiments under different temperature were conducted using Qi 40 heavy oil in Liaohe Oilfield in China to obtain typical features such as displacement efficiency, relative permeability, water cut and dimensionless productivity index of the two. The results show that steam and hot water flooding performance are quite different from each other under the same temperature. Compared with water flooding, displacement efficiency of steam flooding is 8.98%, 10.97% higher under 100℃ and 200℃ respectively, in addition, oil relative permeability is much higher and residual oil saturation is much lower at the same temperature. Water state and temperature are main reasons of displacement efficiency, relative permeability and productivity index difference; vapor state and higher temperature resulting in higher oil recovery, oil relative permeability and oil production index.

Phase unwrapping is a key issue in InSAR research. As a critical step of InSAR processing, it affects the accuracy of interferometry measurement directly. The efficiency of the traditional quality-guided phase unwrapping method is low due to a great deal of sorting, espceically for large interferogram. This paper proposes a highly efficient quality-guided phase unwrapping method based on heap sort in order to solve the problem. First, the quality map is caculated according to the interferometric complex data or interferogram. Next, with the max-heap acting as the data structure of sorting, its property is maintained while deleting root node and inserting new node, and thus the sorting of quality map is accomplished and the phase can be unwrapped from high quality areas to low quality areas. The improved algorithm reduces the computational complexity greatly compared with traditional methods, which is significant in large area mapping of InSAR. At the end of the paper, the simulated and experimental results show the accuracy and the efficiency of the algorithm. Key word: Interferometric SAR (InSAR); Interferometric phase; Phase unwrapping; Quality map; Heap sort

Recent studies have addressed that the cache behavior is important in the design of main memory index structures. Cache-conscious indices such as the CSB+-tree are shown to outperform conventional main memory indices such as the AVL-tree and the T-tree. This paper proposes a cache-conscious version of the T-tree, CST-tree, defined according to the cache-conscious definition. To separate the keys within a node into two parts, the CST-tree can gain higher cache hit ratio.

Some basic algorithms and theories are discussed for 9-shaker random vibration test control in this paper. A correct algorithm RMS is presented without considering influence of cross spectrum. The algorithm can make the control spectrum of convergence stably and fastly. In order to solve the problem of multiple-point input and output synthetically weighting control, Finite Markov Chains and Algorithmic is set forth for the first time to form the main control matrix. Finally through Matlab simulation and the results show that the method can meet the engineering demand. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3 702

Enhanced SAR ocean images with dominant wave-like signatures might promote oceanographic applications. Therefore we develop a wave model based processor for wave features enhancement. Algorithm analysis and experiments based on spaceborne (ERS-2) SAR ocean image show the reasonable capabilities.

With the development of information technology, using multi-media teaching has been increasingly adopted by the teachers. Of the application of multimedia technology in secondary schools increasingly reflect its advantages. This paper introduces the definition of multimedia technology, multimedia technology in middle school applications, the advantages and problems of a preliminary study and put forward some suggestions.

The classical gyroscope system (Euler-Poisson equations) is an important mechanics system, which describes the motion of a heavy rigid body moving around a fixed point. In this paper, the stability of an equilibrium state of gyroscope system is studied by using the energy-Casimir function method. The stability of a class of dynamics of gyroscope system is obtained.

Due to the complexity of variety steel technology, an artificial forecasting project based on Web for variety steel technology is presented. The project is built under Internet circumstance applying artificial neural network technology. By applying Matlab Web technology and combining with the database and artificial neural network toolbox in MATLAB, the project system has the ability of getting data from variety steel technology database and calculating by neural network and then displaying the calculation result on the browser through Web server. The result of research shows that this forecasting project system can successfully map the technological rule of variety steel, and provide timely forecasting operation of machining result with high efficiency and high accuracy for variety steel's user under Internet. The forecasting project based on Web can share the knowledge and experience of variety steel technology.

Least squares support vector machines (LS-SVM) is a new improvement of classic support vector machines (SVM). The inequality constraints of original space are replaced by equality constraints. So the quadratic programming of SVM is inverted to solve linear equations, the complexity of computation is reduced, the solution speed and convergence precision are improved. Based on the local data from hydrogenation equipment, a predictive model based on least squares support vector machines (LS-SVM) is established for three important quality targets of diesel oil in this paper. Finally, it is proved that the proposed predictive models based on LS-SVM can predict the quality target more efficiently and rapidly than stands SVM and neural network. It provided a method for online prediction and diagnosing fault of quality targets.