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Yu Zhenjun,Li Yuhan,Shao Shuai,Guo Beichen,Zhang Mengxia,Zheng Lina,Zhang Kun,Zhou Feng,Zhang Li,Chen Chiyi,Jiang Wentao,Hong Wei,Han Tao 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Some long noncoding RNAs (lncRNAs), which harbor microRNAs in their gene sequence and are also known as microRNA host gene derived lncRNAs (lnc-MIRHGs), play a dominant role alongside miRNAs, or both perform biological functions synergistically or independently. However, only a small number of lnc-MIRHGs have been identified. Here, multiple liver injury datasets were analyzed to screen and identify the target lncRNA Mir122hg. Mir122hg was mainly enriched in liver tissues with human-mouse homology. In both CCl4-induced acute liver injury and Dgal/LPS-induced fulminant liver failure in mice, Mir122hg was sharply downregulated at the early stage, while a subsequent significant increase was only found in the CCl4 group with liver recovery. Overexpression and silencing assays confirmed that Mir122hg played a protective role in acute injury by promoting hepatocyte proliferation in vivo and in vitro. Consistent with the results of gene enrichment analysis, Mir122hg binding to C/EBPα affected its transcriptional repression, promoted gene transcription of downstream chemokines, Cxcl2, Cxcl3, and Cxcl5, and exerted pro-proliferative effects on hepatocytes through activation of the AKT/GSK-3β/p27 signaling pathway by CXC/CXCR2 complexes. This study identifies a novel lncRNA with protective effects in acute liver injury and demonstrates that the binding of Mir122hg-C/EBPα promotes hepatocyte proliferation via upregulation of CXC chemokine and activation of AKT signaling.
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Zhang Cheng,Wang Fangfang,Xiong Beichen,Yang Hong 나노기술연구협의회 2022 Nano Convergence Vol.9 No.22
This paper describes the development of mixed B-site pyrochlore Y2MnRuO7 electrocatalyst for oxygen evolution reaction (OER) in acidic media, a challenge for the development of low-temperature electrolyzer for green hydrogen production. Recently, several theories have been developed to understand the reaction mechanism for OER, though there is an uncertainty in most of the cases, due to the complex surface structures. Several key factors such as lattice oxygen, defect, electronic structure, oxidation state, hydroxyl group and conductivity were identified and shown to be important to the OER activity. The contribution of each factor to the performance however is often not well understood, limiting their impact in guiding the design of OER electrocatalysts. In this work, we showed mixed B-site pyrochlore Y2MnRuO7 catalyst exhibits 14 times higher turnover frequency (TOF) than RuO2 while maintaining a low overpotential of ~ 300 mV for the entire testing period of 24 h in acidic electrolyte. X-ray photoelectron spectroscopy (XPS) analysis reveals that this B-site mixed pyrochlore Y2MnRuO7 has a higher oxidation state of Ru than those of Y2Ru2O7, which could be crucial for improving OER performance as the broadened and lowered Ru 4d band resulted from the B-site substitution by Mn is beneficial to the OER kinetics.
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Xu Zhang,Ziqi Lin,Beichen Ding,Bo Gu,Yu Han 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
Device-to-device communications underlaying cellular networks have been recognized as one of the key technologies for the fifth generation (5G) cellular system to improve the spectrum efficiency and system capacity. In this paper, we investigate the potential of deep reinforcement learning (DRL) for joint subcarrier assignment and power allocation in a general form of D2D networks, where a subcarrier can be assigned to multiple D2D pairs and each D2D pair is permitted to utilize multiple subcarriers. We first formulate the above problem as a Markov decision process, and then propose a double deep Q-network (DQN)-based subcarrier-power allocation algorithm to learn the optimal policy in the absence of full instantaneous channel state information (CSI). Specifically, each D2D pair acts as a learning agent that adjusts its own subcarrier-power allocation strategy iteratively through interactions with the operating environment in a trial-and-error fashion. Simulation results confirm that the proposed algorithm achieves near optimal performance in real time. It is worth mentioning that the proposed algorithm is especially suitable for the case where the environmental dynamics is not accurate and the CSI delay cannot be ignored.
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Baodong Liu,Haibo Sun,Weibo Xu,Yafei Shi,Beichen Zhang,Mengmeng Yao 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.1
Although buried corrugated steel pipe culverts have been studied intensively in the past decades, the stress development law between crest and valley during backfi lling process is still not analyzed suffi ciently, which is an important technical diffi culty for the construction of this kind of structures. In this paper, a three-dimensional fi nite element model (FEM) is developed to simulate the behavior of buried pipes during construction and the stress development law within a wavelength (curvature of corrugated pipe) ranging at the crown and the spring-line inside the pipe is proposed. Based on the measured stress data of a porous continuous corrugated steel plate pipe-arch culvert, the proposed three-dimensional FEM and stress development law are verifi ed. The results show that the stress variations in a wavelength range of corrugated steel plate are trigonometric curves. With the increase of the backfi lling height, the ratio of the stress at the crest or valley, to that of the spring-line is reduced, while the axial force is increased. The absolute value of the bending moment decays and the pipe culvert tends to be ring compression as the backfi lling height increased. The study verifi es the "ring compression theory" and the necessity of the minimum burial depth in design. Meanwhile, some design and construction guidelines which is necessary for the structure safety during backfi lling process are provided for buried corrugated steel pipe culverts.
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