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Objective: To determine the correlation of Apolipoprotein E (ApoE) gene polymorphism with acute myocardial infarction (AMI) and aspirin (APC) resistance after percutaneous coronary intervention (PCI). Methods: In this randomized controlled trial (The Second People’s Hospital of Lianyungang Ethics Committee No.L1719), a total of 120 AMI patients admitted to the Second People’s Hospital of Lianyungang from January 2019 to June 2020 were enrolled into the research group (Res group) and 120 healthy individuals during the same time period into the control group (Con group). ApoE gene polymorphism was detected by gene microarray and analyzed statistically. The occurrence of APC resistance after PCI was recorded, and the relationship between ApoE gene polymorphism and APC resistance was analyzed. Results: The Res group showed a significantly lower level of ε3/ε3 gene and significantly higher levels of ε3/ε4 and ε4/ε4 genes than the Con group (all P0.05). ApoE ε3 carriers were the main carriers in both groups. However, the Res group showed a lower frequency of ApoE ε3 and a higher frequency of ApoE ε4 compared to the Con group (both P0.05). Conclusion: ApoE gene polymorphism is correlated with AMI and APC resistance after PCI, and ApoE ε4 genotype is probably the risk allele for AMI.

Total laryngectomy affects the speaking functions of many patients. Speech deprivation has great impacts on the quality of life of patients, especially on self-efficacy. Learning esophageal speech represents a way to help laryngectomees speak again. The purpose of this study was to determine the influence of collective esophageal speech training on self-efficacy of laryngectomees. In this study, 28 patients and 30 family members were included. The participants received information about training via telephone or a WeChat group. Collective esophageal speech training was used to educate laryngectomees on esophageal speech. Before and after collective esophageal speech training, all participants completed the General Self-Efficacy Scale (GSES) to assess their perceptions on self-efficacy. Through the training, laryngectomees recovered their speech. After the training, the self-efficacy scores of laryngectomees were higher than those before the training, with significant differences noted (T

This paper proposes a method of semi-automatic right-angle building extraction from very high resolution remote sensing imagery, based on graph cuts with the multi-stars shape constraint and regularization. The framework consists of the following steps:Firstly, the image block containing the target building is obtained by manual interaction. Next, the image block is preprocessed by bilateral filtering. Then the graph cuts with the star shape constraint is used to obtain the building objects.Finally, building object is regularized into real regular shape through corner detection and linear fitting. The experiments performed on two different region and spatial resolution aerial imageries demonstrate the stability and accuracy of the proposed method.

In the design of planetary sampling devices, calculating the reaction force acting on the sampling devices is crucial. According to related research, the influence zone caused by sampling plays an important role in calculating the reaction force. A new method for estimating the range of the influence zone based on 3D DEM simulation is discussed in this paper. Taking lunar soil as an example, first, via validation of physical experiments, the DEM lunar soil simulant was proven to have mechanical properties similar to those of real lunar soil. Second, stress was selected as an indicator to identify the influence zone by computing the match percentage via a comparison between classical soil mechanics and DEM simulation. Using the proposed calculation method, it can be observed that the trend of change of influence zone at different sampling moments showed similar to the change of reaction force. Calculation of the influence zone can be used to analyze the reaction force of different gravity environments, sampling device structures, and motions.

Here we show that when the temperature exceeded 1200 &deg, C, the tensile strength drops sharply with change of fracture mode from fiber pull-out to fiber-break. Theoretical analysis indicates that the reduction of tensile strength and change of fracture mode is due to the variation of residual radial stress on the fiber&ndash, matrix interface coating. When the temperature exceeds the preparation temperature of the composites, the residual radial stress on the fiber&ndash, matrix interface coating changes from tensile to compressive, leading to the increase of the interface strength with increasing temperature. The fracture behavior of SiC&ndash, SiC composites changes from ductile to brittle when the strength of fiber&ndash, matrix interface coating exceeds the critical value. Theoretical analysis predicts that the high temperature tensile strength can increase with a decrease in fiber&ndash, matrix interface thickness, which is verified by experiments.

It is well-known that 0 is the absorbing state for a branching system. Each particle in the system lives a random long time and gives a random number of new particles at its death time. It stops when the system has no particle. This paper is devoted to studying the fixed range crossing numbers until any time t. The joint probability distribution of fixed range crossing numbers of such processes until time t is obtained by using a new method. In particular, the probability distribution of total death number is given for Markov branching processes until time t., 19 pages. arXiv admin note: text overlap with arXiv:2001.02353

We consider the down/up crossing property of weighted Markov branching processes. The joint probability distribution of multi crossing numbers of such processes are obtained. In particular, for Markov branching processes, the probability distribution of death number is given and for bulk-arrival queueing model, the joint probability distributions of service number and arrival number is also given., 14 pages

Here, we show that when the oxidation treatment temperature exceeded 600°C, the tensile strength of SiC/SiC begins to decrease. Oxidation leads to the damages on the PyC fiber/matrix interface, which is replaced by SiO2 at higher temperature. The fracture mode converts from fiber pull-out to fiber-break as the fiber/matrix interface is filled with SiO2. Oxidation time also plays an important role in affecting the tensile strength of SiC/SiC. The tensile modulus decreases with temperature from RT to 800°C, then increases above 800°C due to the decomposition of remaining CSi x O y and crystallization of the SiC matrix. A special surface densification treatment performed in this study is confirmed to be an effective approach to reduce the oxidation damages and improve the tensile strength of SiC/SiC after oxidation.

Continuous silicon carbide fiber-reinforced silicon carbide ceramic matrix composites (SiCf/SiC) are promising as thermal structural materials. In this work, the microstructure and static mechanical properties of 3D-SiCf/SiC with PyC, SiC, and PyC/SiC and without an interface prepared via polymer infiltration and pyrolysis (PIP) were investigated systematically in this paper. The results show that the microstructure and static mechanical properties of SiCf/SiC with an interphase layer were superior to the composites without an interlayer, and the interface debondings are existing in the composite without an interphase, resulting in a weak interface bonding. When the interphase is introduced, the interfacial shear strength is improved, the crack can be deflected, and the fracture energy can be absorbed. Meanwhile, the shear strength of the composites with PyC and PyC/SiC interfaces was 118 MPa and 124 MPa, respectively, and showing little difference in bending properties. This indicates that the sublayer SiC of the PyC/SiC multilayer interface limits the binding state and the plastic deformation of PyC interphase, and it is helpful to improve the mechanical properties of SiCf/SiC.

We consider a very general interacting branching process which includes most of the important interacting branching models considered so far. After obtaining some key preliminary results, we first obtain some elegant conditions regarding regularity and uniqueness. Then the extinction vector is obtained which is very easy to be calculated. The mean extinction time and the conditional mean extinction time are revealed. The meanexplosion time and the total mean life time of the processes are also investigated and resolved.

Because there are less restrictions in space, a variety of different movement patterns and equipment structures may be used during the process of planetary surface sampling. Traditionally, the optimal analysis for surface sampling is focused on specific equipment structures and movements; in contrast, a new modular motion-structure design model for surface sampling, which is a more flexible model, is discussed in this paper. By establishing and combining two basic module groups, namely, the motion group and the structure group, this new design model can define and analyse multiple movement patterns and structures. For the motion group, calculating the sampling trajectory is the main purpose, in which there are two basic modules: tridimensional uniform rectilinear movements and tridimensional uniform circular movements. The two basic motion modules can be freely combined in a given coordinate system to simulate a random sampling trajectory. The structure group contains a series of curved and flat plates, which can be defined by a set of unified parameters (including section, extension, and cutting parameters). By assigning different values to these parameters, the curved or flat plates can represent different external shapes. The different structures of the various pieces of surface sampling equipment can be simulated by combining these different plates. In addition to defining these basic modules, analysing the coupling among different modules, which can be simplified to the relationship between velocity and surface, plays an important role in establishing this design model. Based on the modular design theory, this new model will not only reduce the difficulty of analysis but also improve accuracy for planetary surface sampling.

This paper considers the first effective disaster occurrence time for $n$-type Markov branching processes with salvation and disasters. Some properties of the generating functions for $n$-type Markov branching processes with salvation and disasters are firstly investigated in detail. By using the generating functions of the corresponding $Q$ matrix, explicit formulae for Laplace transform of its probability density function, expectation and variance are obtained. Some asymptotic properties of its expectation are also studied.

Point cloud filtering is one of the key steps of airborne LiDAR point data processing. Most traditional methods obtain satisfactory effects just for several specific terrain types. However, ground filtering on the point cloud of complex or mixed terrain types faces a huge challenge. Therefore, a new point cloud filtering method based on grid ground saliency division was proposed. As the point clouds were organized with virtual grid, a ground saliency division based on elevation was performed on the scanning line of point clouds. For different types of grids, different filtering processes were employed to segment point clouds into ground points and non-ground points according to the ground saliency value. Compared with other classical methods, the proposed method avoids the iterative encryption process, and the curved surface was used to fit local terrain in those undulating area, which has better adaptability in complex and mixed terrains with limited increase of computational cost, and generates a set of ground points with high reliability.

In this paper, the convolution neural network with large block input and small block output was used to extract road. To reflect the complex road characteristics in the study area, a deep convolution neural network VGG19 was conducted for road extraction. Based on the analysis of the characteristics of different sizes of input block, output block and the extraction effect, the votes of deep convolutional neural networks was used as the final road prediction. The study image was from GF-2 panchromatic and multi-spectral fusion in Yinchuan. The precision of road extraction was 91%. The experiments showed that model averaging can improve the accuracy to some extent. At the same time, this paper gave some advice about the choice of input block size and output block size.

We consider properties regarding decay parameter and invariant measures for unstable Markovian bulk-arrival Queues with control at idle time. The exact value of the decay parameter, denoted by λZ, is firstly revealed. An elegant criterion regarding λZ-recurrence and λZ-positive is obtained. The corresponding subinvariant and invariant measures are considered and the structure of all the subinvariant and invariant measures are presented.

In this paper, we mainly consider the branching 性质 and decay properties of$n$-type Markov branching processes with immigration. The equivalent 条件 ofthe branching and immigration 性质 are firstly obtained. The exact value of the decay parameter,denoted by $\lambda_Z$ is obtained. The corresponding $\lambda_Z$-invariant vectors/measures and quasi-stationary distribution are discussed.

The innovation-driven development strategy was put forward in the 18th National Congress of the Communist Party of China. To enhance the innovation capacity is the most fundamental thing, to improve the civic scientific literacy level is the most basic thing for the innovation-driven development strategy. Therefore, to strengthen the construction of civic scientific literacy has become one of the hottest agendas for the government and people from all walks of life. Given this situation, how to monitor and evaluate civic science literacy construction work fairly and reasonably becomes important. In order to solve this problem, based on China's science popularization statistics, the paper mainly uses the quantitative research method to establish civic scientific literacy construction monitoring index system from the aspects of the personnel, the venues and facilities, the funds, the media and the activities for science popularization, etc.

A loose coupling method is proposed to analyze electromagnetic forming with solenoid coil. Analysis of electromagnetic field is conducted by ANSYS/Emag, structural field is solved by explicit module ANSYS/Lsdyna, and data transfer from electromagnetic field o structural field is realized by APDL program Time-space distribution of magnetic pressure and discharge voltage, tube thickness and gap are obtained. Effect of discharge voltage, gap between coil and tube and tube thickness on electromagnetic forming are discussed respectively.

In this paper, we consider $n$-type Markov branching processes with immigration and resurrection. The uniqueness criteria are first established. Then, a new method is found and the explicit expression of extinction probability is successfully obtained in the absorption case, the mean extinction time is also given. The recurrence and ergodicity criteria are given if the state ${\bf 0}$ is not absorptive. Finally, if the resurrection rates are same as the immigration rates, the branching property and decay property are discussed in detail, it is shown that the process is a superimposition of a $n$-type branching process and an immigration. The exact value of the decay parameter $\lambda_Z$ is given for the irreducible class ${\bf Z}_+^n$. Moreover, the corresponding $\lambda_Z$-invariant measures/vectors and quasi-distributions are presented., Comment: 31pages

The bluetongue virus (BTV) NS1 protein is one of the major proteins synthesized during BTV infection and is responsible for the generation of virus-specific tubules. Although some functional and structural studies on the BTV NS1 protein have been reported, there have been no reports describing the linear B-cell epitopes recognized by humoral immune responses published to date. In this study, 25 BTV12 NS1-reactive monoclonal antibodies (MAbs) and polyclonal antisera (polyclonal antibodies, PAbs) were generated and analyzed. We identified 14 linear NS1 epitopes recognized by the PAbs and MAbs using NS1-derived peptides in an enzyme-linked immunosorbent assay. Moreover, we predicted 23 linear B-cell epitopes using the ABCpred online server which employs an artificial neural network. Analysis of the predicted and identified epitopes of NS1 demonstrated the feasibility of B-cell epitope prediction. Sequence alignments indicated that the epitopes recognized by MAbs are highly conserved among BTV serotypes, but not among the other members of the genus Orbivirus, such as the African horse sickness virus (AHSV), epizootic hemorrhagic disease virus (EHDV), and Chuzan disease virus (CV). Importantly, we identified specific MAbs that recognized all BTV serotypes tested as well as MAbs that recognized only BTV12, suggesting that these NS1-specific MAbs could serve as a basis for BTV diagnostic approaches. The generation and identification of NS1 protein epitopes will provide the foundation for further studies about the function and structure of NS1 and novel epitope-based vaccines.

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In this thesis, we first considered a modified Markov branching process incorporating both state-independent immigration and resurrection. After establishing the criteria for regularity and uniqueness, explicit expressions for the extinction probability and mean extinction time are presented. The criteria for recurrence and ergodicity are also established. In addition, an explicit expression for the equilibrium distribution is presented.\ud \ud We then moved on to investigate the basic properties of an extended Markov branching model, the weighted Markov branching process. The regularity and uniqueness criteria of such general structures are first established. There after closed expressions for the mean extinction time and conditional mean extinction time are presented. The explosion behaviour and the mean explosion time are also investigated. In particular, the Harris regularity criterion for ordinary Markov branching process is extended to a more general case of non-linear Markov branching process.\ud \ud Finally, we studied a new Markov branching model, the weighted collision branching process, and considered two special cases of this process. For this weighted collision branching process, some conditions of regularity and uniqueness are obtained and the extinction behaviour and explosion behaviour of the process are investigated. For the two special cases, a collision branching process and a general collision branching process with 2 parameters, the regularity and uniqueness criteria of the process are established and explicit expressions for extinction probability vector, mean extinction times, conditional mean extinction times and mean explosion time are all obtained.

This paper describes an ion source with hollow cold cathode discharge. This source is simple regarding structure and power supply. Its working temperature can reach 1700°C. Therefore it is able to produce ion beams of various elements and negative ion beams of some other elements. We developed a hollow cold cathode ion source (HCCIS) [1] in 1983. Since then the structure of the source has been improved, its function has been extended considerably and the size reduced (the weight is less than 1 kg).

In modern drilling industry computer becomes an indispensable tool in designing because of the increasingly calculation, analysis and data management. This paper discussed a new drilling design system that based on the structure of Browser/Server (B/S). By separating the database and procedures, the new system could ensure updating data in real-time and securing data, improving the performance while reducing the management cost. The main features of the new system are as following, completely containing all the content in drilling design; providing comprehensive data for drilling design with the support of built-in database; automatically calculating according to the latest standards and realizing intelligent calculating in some modules; automatically drawing needed graphics by using the technology of HTML5; generating and exporting standard design reports with various format (such as Word, PDF, Excel, etc.); importing exist data to starting a new drilling design.

Background The non-structural protein 3 (NS3) of bluetongue virus (BTV) is the second smaller non-structural protein produced in host cells, playing an important role in BTV trafficking and release. Results In this study, we generated five BTV NS3-reactive monoclonal antibodies (mAbs), named 3D8, 2G9, 1B5, 4H8, and 2B12. A panel of overlapping NS3-derived peptides representing the entirety of the BTV15 NS3 protein was screened to identify linear peptide epitopes recognized by each mAb. Based on the initial screen, a series of progressively truncated peptides were produced to identify the minimal linear peptide sequence required to maintain mAb binding. We found that mAb 3D8 reacted with the motif 36PPRYA40, 2G9 reacted with the motif 82AEAFRDDVRLRQIK95, 1B5 reacted with the motif 205YNDAVRMSF213, 2B12 and 4H8 reacted with the motif 204SYNDAVRMSF213. Sequence alignments demonstrated that these linear epitopes are highly conserved among all BTV serotypes, consistent with the observation that each mAb was able to recognize cells infected with BTV1-24 serotypes tested and each identified B cell epitope was able to be recognized by BTV-infect sheep serum. Conclusion This collection of mAbs along with defined linear epitopes may provide useful reagents for investigations of NS3 protein function and the development of BTV group-specific diagnostics. Electronic supplementary material The online version of this article (doi:10.1186/s12985-015-0319-z) contains supplementary material, which is available to authorized users.