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| 1 | Oligo-microarray analysis reveals the role of cyclophilin A in drug resistance显示文摘 | Shuai Chen Mingjun Zhang Honghui Ma Hexige Saiyin Suqin Shen Jiajie Xi Bo Wan Long Yu | 2008 | Cancer Chemotherapy and Pharmacology2008，，： | 1 |
| 2 | Mussel-inspired multifunctional coating for bacterial infection prevention and osteogenic induction显示文摘Bacterial infection and osteogenic integration are the two main problems that cause severe complications after surgeries. In this study, the antibacterial and osteogenic properties were simultaneously introduced in biomaterials, where copper nanoparticles(Cu NPs) were generated by in situ reductions of Cu ions into a mussel-inspired hyperbranched polyglycerol(MI-h PG) coating via a simple dip-coating method.This hyperbranched polyglycerol with 10 % catechol groups’ modification presents excellent antifouling property, which could effectively reduce bacteria adhesion on the surface. In this work, polycaprolactone(PCL) electrospun fiber membrane was selected as the substrate, which is commonly used in biomedical implants in bone regeneration and cardiovascular stents because of its good biocompatibility and easy post-modification. The as-fabricated Cu NPs-incorporated PCL membrane [PCL-(MI-h PG)-Cu NPs]was confirmed with effective antibacterial performance via in vitro antibacterial tests against Staphylococcus aureus(S. aureus), Escherichia coli(E. coli), and multi-resistant E. coli. In addition, the in vitro results demonstrated that osteogenic property of PCL-(MI-h PG)-Cu NPs was realized by upregulating the osteoblast-related gene expressions and protein activity. This study shows that antibacterial and osteogenic properties can be balanced in a surface coating by introducing Cu NPs. | Mingjun Li Christoph Schlaich Jianguang Zhang Ievgen S.Donskyi Karin Schwibbert Frank Schreiber Yi Xi Jorg Radnik Tanja Schwerdtle Rainer Haag | 2021 | Journal of Materials Science & Technology2021，，9： | 1 |
| 3 | Short-term serum deprivation causes no significant mitochondrial DNA mutation in vascular smooth muscle cells revealed by a new next generation sequencing technology显示文摘线粒体提供许多精力因为在线粒体的房间和混乱能几乎影响任何织物[1 ] 。mitochondrial DNA (mtDNA ) 盖住 16,569 bp,由在人的 37 基因和 1 个 D 环区域组成。线粒体在拥有他们被采用 multiprotein 机械组织成 mitochondrial nucleoids 的自己的染色体是唯一的,并且能执行基因复制,抄写,和修理的功能[2 ] 。尽管它让几乎所有已知的原子 DNA 修理小径,保护的 histones 的缺乏可以导致特别危险性到压力和 DNA 损坏事件[3 ] 。确实, mtDNA 让一个很高的变化评价[4 ] 。自从它的发现, mtDNA 变化被知道了普通并且包括糖尿病,心血管的疾病,癌症,神经与肌的混乱,和老化作为人的疾病的一个重要原因出现了,在 4300 人口影响 1 [5,6 ] 。因此,在压力和疾病识别 mtDNA 变化现在是一个热研究区域。 | Xiangqi Li Lianyong Liu Qian Xi Xuemei Zhao iingshuang Fang Junhua Ma ZhaohuiZhu Xing Wang Chao Shi Jingnan Wang Hongling Zhu Jichen Zhang Chaobao Zhang Shuanggang Hu Minjie Ni Mingjun Gu | 2016 | Acta Biochimica et Biophysica Sinica2016，48，9： | 0 |
| 4 | Fabrication of SA/Gel/C scaffold with 3D bioprinting to generate micro-nano porosity structure for skin wound healing: a detailed animal in vivo study显示文摘Bioprinting has exhibited remarkable promises for the fabrication of functional skin substitutes.However,there are some significant challenges for the treatment of full-thickness skin defects in clinical practice.It is necessary to determine bioinks with suitable mechanical properties and desirable biocompatibilities.Additionally,the key for printing skin is to design the skin structure optimally,enabling the function of the skin.In this study,the full-thickness skin scaffolds were prepared with a gradient pore structure constructing the dense layer,epidermis,and dermis by different ratios of bioinks.We hypothesized that the dense layer protects the wound surface and maintains a moist environment on the wound surface.By developing a suitable hydrogel bioink formulation(sodium alginate/gelatin/collagen),to simulate the physiological structure of the skin via 3D printing,the proportion of hydrogels was optimized corresponding to each layer.These results reveal that the scaffold has interconnected macroscopic channels,and sodium alginate/gelatin/collagen scaffolds accelerated wound healing,reduced skin wound contraction,and re-epithelialization in vivo.It is expected to provide a rapid and economical production method of skin scaffolds for future clinical applications. | Changmei Niu Liyang Wang Dongdong Ji Mingjun Ren Dongxu Ke Qiang Fu Kaile Zhang Xi Yang | 2022 | Cell Regeneration2022，11，1： | 0 |
| 5 | Video Popularity Prediction Based on Knowledge Graph and LSTM Network显示文摘The prediction of the popularity of online content,particularly videos,has recently gained significant attention as successful popularity prediction can assist many practical applications such as recommendation systems and proactive caching,as well as aid in optimizing advertising strategies or balancing network throughput.Despite much work being done on predicting the popularity of online videos,there are still challenges to be overcome:(1)popularity is greatly influenced by various external factors,resulting in significant fluctuations that are difficult to capture and track;(2)online video content and metadata information are typically diverse,sparse,and noisy,making the prediction task complex and unstable;(3)some data have temporal relevance,and the impact on popularity varies at different times.In this paper,we propose an Adaptive Temporal Knowledge Graph Network(ATKN)video popularity prediction model to address the issues surrounding video popularity prediction.First,we employ the attention-basedLong Short-Term Memory(ALSTM)network to capture the trend of popularity change.Then,we introduce anAttention-based FactorizationMachine(AFM)with attentionmechanism to model the feature cross of video content,thereby enhancing the distinction of importance after different feature crosses.Next,we use a RelationalGraph Convolutional Network(RGCN)to extract the associated features between entities in the knowledge graph.Finally,we propose a dynamic feature fusion method that adaptively assigns the weights of temporal features and content features at different time intervals by constructing an exponential decay function,thereby obtaining an effective and stable feature fusion module.Experimental results demonstrate the superiority and interpretability of ATKN on the MovieLens-20M dataset and the Microsoft Satori-built movie knowledge graph. | Pingshan Liu Zhongshu Yu Yemin Sun Mingjun Xi | 2023 | 国际计算机前沿大会会议论文集2023，，1： | 0 |
| 6 | Uncover rock-climbing fish's secret of balancing tight adhesion and fast sliding for bioinspired robots显示文摘The underlying principle of the unique dynamic adaptive adhesion capability of a rock-climbing fish(Beaufortia kweichowensis)that can resist a pull-off force of 1000 times its weight while achieving simultaneous fast sliding(7.83 body lengths per second(BL/S))remains a mystery in the literature.This adhesion-sliding ability has long been sought for underwater robots.However,strong surface adhesion and fast sliding appear to contradict each other due to the need for high surface contact stress.The skillfully balanced mechanism of the tight surface adhesion and fast sliding of the rock-climbing fish is disclosed in this work.The Stefan force(0.1 mN/mm2)generated by micro-setae on pectoral fins and ventral fins leads to a 70 N/m2 adhesion force by conforming the overall body of the fish to a surface to form a sealing chamber.The pull-off force is neutralized simultaneously due to the negative pressure caused by the volumetric change of the chamber.The rock-climbing fish's micro-setae hydrodynamic interaction and sealing suction cup work cohesively to contribute to low friction and high pull-off-force resistance and can therefore slide rapidly while clinging to the surface.Inspired by this unique mechanism,an underwater robot is developed with incorporated structures that mimic the functionality of the rock-climbing fish via a micro-setae array attached to a soft self-adaptive chamber,a setup which demonstrates superiority over conventional structures in terms of balancing tight underwater adhesion and fast sliding. | Wenjun Tan Chuang Zhang Ruiqian Wang Yuanyuan Fu Qin Chen Yongliang Yang Wenxue Wang Mingjun Zhang Ning Xi Lianqing Liu | 2023 | National Science Review2023，10，8： | 0 |
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