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OBJECTIVE: To investigate the role of human serum albumin (hsa)_circular (circ)_0000711 in hepatocellular carcinoma (HCC). Circular ribonucleic acids (circRNAs) are proven in numerous studies to play crucial role in tumor biology, but their roles in HCC remain unknown to a great extent. PATIENTS AND METHODS: The circRNA expression profile microarray was employed to screen differentially expressed circRNAs in tumor tissues and adjacent tissues from HCC patients, and Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) assay was performed for further verification. Next, the target micro RNAs (miRNAs) and their messenger RNAs (mRNAs) of key circRNAs were predicted by bioinformatics software, and a circRNA-miRNA- mRNA regulatory network was constructed. Subsequently, KEGG and GO enrichment analyses were applied to predict the possible biological processes regulated by hsa_circ_0000711 and relevant signaling pathways. The miRNAs playing a key role in the circRNA-miRNA-mRNA regulatory network were then selected as the objects, and their direct binding to hsa_ circ_0000711 was confirmed via luciferase reporter gene assay. Thereafter, hsa_circ_0000711 was overexpressed or knocked out, and the biological function of hsa_circ_0000711 was detected by cell counting kit-8 (CCK-8) assay, apoptosis detection, and 5-Ethynyl-2'-deoxyuridine (EdU) staining assay in vitro. RESULTS: The results of expression profile screening revealed that there was a significant difference in the expression profile of circRNAs between tumor tissues and adjacent tissues in HCC patients. Based on the circRNA expression profile and RT-qPCR results, the expression level of hsa_circ_0000711 was overtly reduced in HCC tissues. In addition, miR-103a- 3p had the highest eigenvector centrality in the circRNA-miRNA-mRNA regulatory network, suggesting that miR-103a-3p is a vital participant in the pathological mechanism of hsa_ circ_0000711. The KEGG enrichment analysis results pointed out that the target genes regulated by hsa_circ_0000711 were clearly enriched in the tumor-associated signaling pathways. Besides, the results of GO enrichment analysis demonstrated that the biological processes regulated by hsa_circ_0000711 were mainly related to cell cycle regulation, so cell proliferation might be affected. The results of luciferase reporter gene and RT-qPCR assays showed that hsa_circ_0000711 directly bound to has-miR-103a-3p to serve as a molecular sponge. The results of CCK-8 and EdU staining assays revealed that the proliferation of hepatoma cells in hsa_circ_0000711 overexpression group was evidently enhanced. In addition, it was further found via flow cytometry that the apoptosis rate of cells was significantly raised in hsa_circ_0000711 low-expression group and dramatically declined in hsa_circ_0000711 overexpression group. CONCLUSIONS: Overexpression of hsa_ circ_0000711 promoted the proliferation and inhibited the apoptosis of hepatoma cells via targeting has-miR-103a-3p. [ABSTRACT FROM AUTHOR]

This paper discusses the tracking coordination of a linear switched reluctance machine (LSRM) network based on a global feedback control strategy with a full-state observation framework. The observer is allocated on the follower instead of the leader to form a leader--follower--observer network, by utilizing the leader as the global feedback tracking controller and the observer as the observation of the full states. The internal model compensator (IMC) is applied to the leader for the improvement of the network performance. The full-state information of the LSRM network is reconfigured by the output of the LSRM where the observer is located to provide necessary feedback information to the leader. Then, the controllability and observability of the leader--follower--observer network with the IMC are inspected, serving as a basis for the design of the global controller with the IMC and full-state observer. Experimentation verifies the effectiveness of the proposed network control scheme and the results demonstrate that both the absolute and the relative accuracy can be simultaneously improved, compared to the LSRM network with only the consensus algorithm and no global feedback mechanism. [ABSTRACT FROM AUTHOR]

A fuzzy position controller is employed for the linear switched reluctance motor. Performance comparison between the fuzzy controller and a proportional-differential (PD) controller is carried out. Under the PD controller, the absolute steady-state error is 44.5 ~211.5 μm under normal condition and 1157–1212 μm under sustained time-variant disturbance circumstance, respectively. The absolute steady-state error of 3 μm and 9 μm can be achieved under the fuzzy controller in the normal and sustained disturbed circumstance. Experimental results demonstrate that the position tracking performance from the proposed algorithm is superior to the conventional PD control strategy, both in normal circumstance and disturbance environment. [ABSTRACT FROM AUTHOR]

This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion control network. The high-level, reference signals agreement algorithm is first employed to correct the asynchronous behaviors of the position commands. Then, the low-level tracking synchronization method is applied for the collaborative position control of the four LSRMs. The proposed two-level, fault-tolerant control strategy eliminates the asynchrony of the reference signals and it also guarantees the coordinated tracking control performance of the four LSRMs. Experimental results demonstrate that effective coordinated tracking control can be ensured, based on the successful agreement of reference signals and an absolute tracking error falling within 2 mm can be achieved. [ABSTRACT FROM AUTHOR]