Long non-coding RNA (lnc) HCG18 has been reported to contribute progression of a variety of tumors. However, its roles in hepatocellular carcinoma (HCC) remains unknown. In the current study, we intended to uncover the biological functions of HCG18 in HCC. Quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to detect the expression of HCG18, microRNA-214-3p (miR-214-3p) and centromere protein M (CENPM) messenger RNA (mRNA). The role of HCG18 in the growth and migration were assessed by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, colony formation assay, wound healing assay and flow cytometry in vitro and animal experiments in vivo. The results showed that HCG18 was highly expressed in HCC tissues. HCG18 silencing inhibited the proliferation and migration while induced the apoptosis of HCC cells. Besides, miR-214-3p was downregulated in HCC cells. Further experiments revealed that miR-214-3p could directly bind to HCG18 and exerted an anti-tumor role to counteracted siHCG18-1-mediated influence in HCC cells. Moreover, miR-214-3p could directly interact with CENPM mRNA and down-regulating the expression of CENPM. While HCG18 could up-regulated the expression of CENPM through acting as a sponge of miR-214-3p. Therefore, those results suggested HCG18 functioned as an oncogene to promote the proliferation and migration of HCC cells via miR-214-3p/CENPM axis.

With the rapid development of computer science and information technology, artificial intelligence (AI) has been developed from theory to application. As a key technology in the modern society, AI is increasingly affecting all aspects of people’s daily lives, including sports training. AI can be considered as an assistive technology to provide specific support to athletes’ physical education training through various means such as data analysis and simulation of training scenarios. Although research on AI is still in the preliminary stage, it is significant to explore how AI can be applied in sports training since this emerging technology could facilitate people’s physical training to some extent. This paper first reviews the existing research on AI applications. Then, based on the fundamental concept and related research results of AI, this study explores three specific cases of AI application in sports training and explains the main principles. This research focuses on discussing the strong relationship between AI technology and physical education training and highlights the advantages of AI, including utilization, convenience, and innovation.

In this study, we aimed to elucidate the role of long non-coding RNA nuclear enriched abundant transcript 1 (lncRNA NEAT1) in non-small cell lung cancer (NSCLC). Quantitative real-time polymerase chain reaction (qRT-PCR) was employed to detect the abundance of NEAT1, microRNA-582-5p (miR-582-5p) and eukaryotic translation initiation factor 4 gamma 2 (EIF4G2). Proliferation, apoptosis, metastasis and glycolytic metabolism were determined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) flow cytometry, transwell assays and fluorescence-based glucose and lactate assay kits. The targets of NEAT1 and miR-582-5p were predicted by the starBase website, and dual-luciferase reporter and RNA immunoprecipitation (RIP) assays were performed to verify these predictions. Western blot analysis was conducted to detect the protein expression of EIF4G2. A xenograft tumor model was built to clarify the role of NEAT1 in vivo. Results showed that NEAT1 interference inhibited proliferation, metastasis and glycolysis, and facilitated the apoptosis of NSCLC cells. MiR-582-5p was a functional target of NEAT1, and the biological influence of NEAT1 intervention on NSCLC cells was alleviated by transfection with anti-miR-582-5p. MiR-582-5p could bind to EIF4G2 messenger RNA (mRNA); it exerted its antitumor role in NSCLC cells by inhibiting EIF4G2. EIF4G2 was regulated by NEAT1/miR-582-5p signaling. NEAT1 accelerated NSCLC tumor growth via the miR-582-5p/EIF4G2 axis in vivo. In conclusion, NEAT1 affected NSCLC by elevating their malignant potential via the miR-582-5p/EIF4G2 axis.Abbreviations: long non-coding RNA (lncRNA); nuclear enriched abundant transcript 1 (NEAT1); non-small cell lung cancer (NSCLC); eukaryotic translation initiation factor 4 gamma (EIF4G); eukaryotic initiation factor 4F (EIF4F) Arch Biol Sci. 2020;72(2):243-252 https://doi.

In order to design the perception system of the lower limb wearable rehabilitation robot, this study established the kinematics theoretical model of human lower limb and conducted the kinematics analysis of human body. By using the dynamic attitude analysis system, combined with the human body mark points, the position data of human body mark points in the process of standing up, sitting up, walking, stepping up, and squatting were collected. Combined with the movement mechanism of human lower limbs, the characteristics of human motion state transition are analyzed, and the perceptual algorithm for judging human motion intention is studied, so as to determine the wearer’s current posture, standing intention while sitting, walking intention while standing, moving intention, and stopping intention during walking. The results show that the angle of the hip joint changes regularly between 0° and 37° and the angle of the knee joint changes regularly between 0° and 70°during the standing process, which is consistent with the angle change trajectory collected by the dynamic attitude analysis system. The angle trajectories of the hip and knee joints measured by the absolute angle sensor are the same as those obtained by the dynamic attitude analysis system. 1.5 rad and 0.3 rad were selected as reasonable and effective thresholds for determining sitting and standing states.

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