Vibration reliability analysis for aeroengine compressor blade based on support vector machine response surface method

To ameliorate reliability analysis efficiency for aeroengine components, such as compressor blade, support vector machine response surface method(SRSM) is proposed. SRSM integrates the advantages of support vector machine(SVM) and traditional response surface method(RSM), and utilizes experimental samples to construct a suitable response surface function(RSF) to replace the complicated and abstract finite element model. Moreover, the randomness of material parameters, structural dimension and operating condition are considered during extracting data so that the response surface function is more agreeable to the practical model. The results indicate that based on the same experimental data, SRSM has come closer than RSM reliability to approximating Monte Carlo method(MCM); while SRSM(17.296 s) needs far less running time than MCM(10958 s) and RSM(9840 s). Therefore,under the same simulation conditions, SRSM has the largest analysis efficiency, and can be considered a feasible and valid method to analyze structural reliability.

Fast magnitude determination using a single seismological station record implementing machine learning techniques

In this work a Support Vector Machine Regression（SVMR） algorithm is used to calculate local magnitude（MI） using only five seconds of signal after the P wave onset of one three component seismic station. This algorithm was trained with 863 records of historical earthquakes, where the input regression parameters were an exponential function of the waveform envelope estimated by least squares and the maximum value of the observed waveform for each component in a single station. Ten-fold cross validation was applied for a normalized polynomial kernel obtaining the mean absolute error for different exponents and complexity parameters. The local magnitude（MI） could be estimated with 0.19 units of mean absolute error. The proposed algorithm is easy to implement in hardware and may be used directly after the field seismological sensor to generate fast decisions at seismological control centers, increasing the possibility of having an effective reaction.

Identifying and localizing of seismogenic electromagnetic anomalies from data observed by permanent MT stations

In this research, an arbitrarily oriented electric dipole at subsurface is used to simulate Seismogenic Electromagnetic(SEM) radiation emanating from a seismic zone during its gestation phase. Analytical synthesis of responses at the Lijiang magnetotelluric(MT) station has revealed that SEM radiation could induce identifiable anomalies in the electromagnetic(EM)spectrum, apparent resistivity and phase within specific frequency bands. Background variations were extracted from long-term observation data of Dali and Lijiang MT stations, enabling the identification of SEM anomalies related to the Yunlong and Yangbi earthquakes. Multiple parameters of dipole sources at subsurface were obtained by applying the Differential Ant Colony Optimization(DACO) algorithm to anomalous data of two stations with multi-frequencies and various response functions. The spatial distribution of these predicted dipoles is predominantly clustered in or around the seismogenic area, with their azimuthal orientation aligning towards the seismogenic fault in general. This study has demonstrated the potential of using subsurface electric dipole simulations for SEM radiation analysis, offering a feasible approach for the prediction and understanding of seismogenic zones.

Efficiency of adenoviral vector mediated CTLA4Ig gene delivery into mesenchymal stem cells

Objective To prevent Graft-versus-host disease (GVHD) in rat model, we evaluated the feasibility of mesenchymal stem cells (MSCs) as a gene transfer target and studied the efficiency of recombinant adenovirus mediated gene therapy.Methods We constructed the recombinant adenovirus containing CTLA4lg gene. Rat MSCs of passages 3-5 were infected by the adenovirus, and the transfection efficiency was monitored by GFP markers. We performed flow cytometric analysis, immunohistochemical and Western blotting analysis to identify the CTLA4lg expression. The gene transferred MSCs were tested for their ability to inhibit the allogeneic lymphocyte response in vitro and to prevent GVHD in a rat model.Results Recombinant adenovirus pAd-CTLA4lg was correctly constructed and confirmed. After MSCs were infected by the adenovirus, the CTLA4lg protein was detected not only in transgenic MSCs, but also in the culture medium. In a mixed lymphocytes response (MLR) test, the transgenic MSCs could significantly inhibit the allogeneic lymphocyte response compared with the control groups (P < 0. 05) . A model of GVHD was developed by transplanting bone marrow cells and spleen lymphocytes of F344 rats to lethally irradiated SD rats. The onset of GVHD could be ameliorated or prevented by co-administration of transgenic MSCs. All the rats in the control groups suffered severe acute GVHD. CTLA4lg expression was observed in the liver, intestine, kidney and spleen 30 days post- transplantation.Conclusions Our results indicate that adenoviral vectors could efficiently transfer CTLA4lg gene into MSCs and sustain long-term stable expression in vitro and in vivo.

Huanglongbing:An overview of a complex pathosystem ravaging the world's citrus

Citrus huanglongbing（HLB） has become a major disease and limiting factor of production in citrus areas that have become infected. The destruction to the affected citrus industries has resulted in a tremendous increase to support research that in return has resulted in significant information on both applied and basic knowledge concerning this important disease to the global citrus industry. Recent research indicates the relationship between citrus and the causal agent of HLB is shaped by multiple elements, in which host defense responses may also play an important role. This review is intended to provide an overview of the importance of HLB to a wider audience of plant biologists. Recent advances on host-pathogen interactions, population genetics and vectoring of the causal agent are discussed.