Research and Simulation on Division Attack Airspace

Division attack is the basic tactical action of air strike operation carried out by the Air Force. The aircraft tactical action model is analyzed and established according to the Division attack pattern. Track points are determined on the basis of parameters of the weapons, and the ideal trajectory is determined under the constraint of the flights’ ideal parameters and the type of target. The upper winds and pilot’ operating error are taken into account on the ideal track, and the total deviation is calculated. We put forward a method of establishing airspace based on the probability deviation of the attack track, and adopt the relevant flight data to carry on the simulation verification. The final results show that the effectiveness and practicability of this method, and it is helpful for the rapid generation of relevant airspace

Analysis of the Molecular Mechanism of Acute Coronary Syndrome Based on circRNA-miRNA Network Regulation

Background. With the development of biological technology, biomarkers for the prevention and diagnosis of acute coronary syndrome (ACS) have become increasingly evident. However, the study of novel circular RNAs (circRNAs) in ACS is still in progress. This study aimed to investigate whether the regulation of circRNA-miRNA networks is involved in ACS pathogenesis. Methods. We used microarray analysis to detect significantly expressed circRNAs and miRNAs in the peripheral blood of patients in the control group (CG) and ACS groups, including an unstable angina pectoris (UAP) group and an acute myocardial infarction (AMI) group. A circRNA-miRNA interaction network analysis was carried out with open-source bioinformatics. The gene ontology (GO), pathway, and disease enrichment analyses for differentially expressed circRNAs were further analysed with hierarchical clustering. Results. A total of 266 circRNAs (121 upregulated and 145 downregulated, P<0.05, fold change FC ≥2) and 3 miRNAs (1 upregulated and 2 downregulated, P<0.05, FC ≥ 1.2) were differentially expressed in the ACS groups compared with those in the CG. In addition, among these expressed circRNAs and miRNAs, a single circRNA could bind to more than 1–100 miRNAs, and vice versa. Next, an AMI-UAP network, an AMI-CG network, a UAP-CG network, and an AMI-CG-UAP network were constructed. The top 30 enriched GO terms among the three groups were emphasized as differentially expressed. Disease enrichment analysis showed that these differentially expressed circRNAs are involved in the pathogenesis of cardiovascular diseases. KEGG pathway analysis was performed to identify pathways associated with circRNAs targeting mRNAs. Conclusion. CircRNAs are closely related to the pathological process of ACS via a mechanism that may be related to the up- or down-regulation of circRNAs and miRNAs and circRNA-miRNA coexpression. The metabolic pathways, signalling pathways, and diseases affected by these circRNAs can be predicted by enrichment analysis