Artificial neural network is composed by a large number of processing interconnected unit. It is a nonlinear, adaptive information processing system. It has self-organizing, adaptive and self-learning ability. And can be used to calculate complex relationship between input and output, thus it has effective control ability. Rubber is the main material in the process of the mixer. It has a great influence on the final product. But at present many factories are added in the rubber by manual control. So this article takes the rubber transport equipment as the object, establish a BP neural network intelligent control system, using neural network self-learning ability and the adaptive ability to deal with uncertain information, to solve the problem of motion control of multiple dynamic input. Through the test of practical application, the system has strong robustness, adaptability, good generality and fault tolerance.
Evolutionarily, polyploidy represents a smart method for adjusting agronomically important in crops through impacts on genomic abundance and chromatin condensation. Autopolyploids have a relatively concise genetic background with great diversity and provide an ideal system to understand genetic and epigenetic mechanisms attributed to the genome-dosage effect. However, whether and how genome duplication events during autopolyploidization impact chromatin signatures are less understood in crops. To address it, we generated an autotetraploid rice line from a diploid progenitor, Oryza sativa ssp. indica 93-11. Using transposase-accessible chromatin sequencing, we found that autopolyploids lead to a higher number of accessible chromatin regions (ACRs) in euchromatin, most of which encode protein-coding genes. As expected, the profiling of ACR densities supported that the effect of ACRs on transcriptional gene activities relies on their positions in the rice genome, regardless of genome doubling. However, we noticed that genome duplication favors genic ACRs as the main drivers of transcriptional changes. In addition, we probed intricate crosstalk among various kinds of epigenetic marks and expression patterns of ACR-associated gene expression in both diploid and autotetraploid rice plants by integrating multiple-omics analyses, including chromatin immunoprecipitation sequencing and RNA-seq. Our data suggested that the combination of H3K36me2 and H3K36me3 may be associated with dynamic perturbation of ACRs introduced by autopolyploidization. As a consequence, we found that numerous metabolites were stimulated by genome doubling. Collectively, our findings suggest that autotetraploids reshape rice morphology and products by modulating chromatin signatures and transcriptional profiling, resulting in a pragmatic means of crop genetic improvement.
Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant tumor with clinical characterized by short course, rapid progression and rapid deterioration. At present, the studies on the regulatory factors of PDAC are not enough.Methods: In this study, we applied transcriptome sequencing with PDAC tumor and normal tissues (5cases). Expression of miR-199a-5p was detected by qPCR in another 10 pairs of cancer and normal tissues. The miR-199a-5p mimic, miR-199a-5p mimic NC, miR-199a-5p inhibitor, and miR-199a-5p inhibitor NC were used to detect the function of miR-199a-5p in cell lines. Construction of double luciferase reporter vector of VASH1-AS1 and PDCD4 were used to confirm the binding of miR-199a-5p and 3’- UTR of human PDCD4 mRNA and VASH1-AS1, respectively. PDCD4 protein expression was detected by Western Blot. The cell apoptosis assay was performed using the Annexin V-FITC Kit. Cell proliferation was detected using CCK-8assay and EdU fluorescence analysis. Cell cycle and apoptosis analyzed by flow cytometry at excitation and emission wavelengths of 488 and 530 nm, respectively. SPSS software (version 22.0; SPSS, Chicago, USA) and GraphPad Prism 5.0 (GraphPad software, San Diego, California, USA) were used for data analysis.Results: After data preprocessing, differentially expressed lncRNAs (606 up-regulated, 875 down-regulated), miRNAs (171 up-regulated, 188 down-regulated) and genes (4129 up-regulated, 3417 down-regulated) were identified. With dada analysis, a new VASH1-AS1/miR-199a-5p/PDCD4 regulation mode was discovered. In PDAC, the expression level of miR-199a-5p is negatively correlated with VASH1-AS1, and the further binding was performed between miR-199a-5p and PDCD4. The overexpression of miR-199a-5p can promote the proliferation and cycle of tumor cells, inhibit cell apoptosis. If the expression of miR-199a-5p is inhibited, the opposite result was obtained. By using overexpression vectors and siRNA of PDCD4, we also found that the low expression of PDCD4 can promote tumor cell proliferation and cycle, and inhibit cell apoptosis. If PDCD4 is highly expressed, the opposite result is obtained.. Conclusion: These findings suggest that lncRNA VASH1-AS1/miR-199a-5p/PDCD4 axis may regulate the formation of PDAC through synergy, and show potential application as an early diagnostic and prognostic marker for PDAC.
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