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Additional file 1.

Additional file 2.

Additional file 6: Method S1. The real-time PCR reactions and conditions.

Additional file 1: Table S1. Primer sequences for PCR amplification. The primer sequences used for PCR amplification of eIF-5A open reading frame.

Additional file 2: Table S2. Primer sequences for gene knockout. The primer sequences used for eIF-5A and the control gene CDPK3 knockout.

Additional file 4: Table S4. Primer sequences for real-time PCR. The primer sequences used to verify the effect of eIF-5A knockdown.

Additional file 7: Method S2. The Western blotting assay.

Additional file 5: Table S5. Protein Identification Overview

Additional file 3: Table S3. siRNA sequences for gene knockdown. The primer sequences used in eIF-5A siRNA assay.

According to the analysis and research of SFMEA and SFTA technology, this paper provides an FPGA software security test excitation random generation technology based on SFMEA and SFTA reverse synthesis. Firstly, establish the FPGA software fault tree through SFTA. Secondly, the SFMEA is performed for the important bottom event, analyze the potential fault effect and supplement the fault tree. Then refine the test constraints according to the bottom event. Finally generate the security random test stimulus using the verification language. This technology can effectively improve the sufficiency of FPGA software security testing, standardize the testing process, and ultimately improve software security and ensure software quality.

Based on detection technology of 1 H low-field nuclear magnetic resonance (NMR), this study developed a novel method for assessment and mechanism study of bleeding. This method is sensitive to bleeding water as well as water in cement paste and diluted grout, gives a vivid scenario of microstructure variation and provides important insights into mechanism of bleeding. In this study, influence of parameters such as cement type, water/cement ratio, chemical additives and environmental temperature on bleeding process was investigated. Results show that bleeding property of cements can be rapidly and precisely evaluated by the proposed method. It is found that peaks of T 2 distribution correlate with separated layers of fresh cement paste with bleeding, and the bleeding process generally consists of a significant growth, a relative stable period and a water-sucking stage. Results also demonstrate that retarder significantly increases bleeding, however, bleeding, to a certain extent, can be reduced by the addition of air-entraining agent. Furthermore, bleeding results of the cement paste under different temperatures (15.5 and 22.5 °C) suggest that higher temperature leads to a smaller T 2 value (around 10 ms) and a lower bleeding rate. The high precision of 1 H low-field NMR and linear correlation ( R ⩾ 0.921) between R t ( B ) and bleeding rate both evidenced the superiority and feasibility of the proposed method on study of bleeding.

A Plasma Surface Interaction (PSI) experiment on China Low Activation Martensitic (CLAM) steel was done to check if CLAM steel could be used as a Plasma Facing Material (PFM). A specimen with a diameter of 45 mm was exposed to 897 shots of deuterium plasmas with a total duration of 712 sec at a minor radius of 30 cm in HT-7 tokamak. During the exposure experiment, no observable influence was found on plasma performance. After exposure, the surface of the specimen seemed as smooth as before but with some colour change at the margin of the specimen. Even though some micro-damage, such as dense blisters, melting, splashing, depositions, and dust, was found on local surfaces with Scanning Electron Microscopic (SEM) observation. The reflectivity of the specimen decreased only slightly. All of these shows CLAM steel has good stability and irradiation resistance. With further optimization, it could possibly be used as the first mirror material for plasma diagnostics in tokamaks.

In this paper, the method of texture information extraction based on wavelet transform is discussed in detail, then the Principle Component Analysis(PCA) is performed to SPOT5 image, using software MATLAB, the texture information extraction of the first principle component basing on wavelet transform is completed, and two type of texture information are achieved, they are mean texture image and standard deviation texture image. Through analysis of the texture information and band combinations, the selected bands with texture information are used in classification, the method of Maximum Likelihood Classification is executed in the study, comparing to the applying the spectral information only, the overall accuracy raises from 67.3% to 81.9%, and the kappa index raises from 0.676 to 0.764 when using texture information. The result showed that classification overall accuracy and kappa index are all improved in the study.