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| 1 | A Sub-100 mg Electromagnetically Driven Insect-inspired Flapping-wing Micro Robot Capable of Liftoff and Control Torques Modulation显示文摘Inspired by the unique,agile and efficient flapping flight of insects,we present a novel sub-100 mg,electromagnetically driven,tailless,flapping-wing micro robot.This robot utilizes two optimized electromagnetic actuators placed back to back to drive two wings separately,then kinematics of each wing can be independently controlled,which gives the robot the ability to generate all three control torques of pitch,roll and yaw for steering.To quantify the performance of the robot,a simplified aerodynamic model is used to estimate the generated lift and torques,and two customized test platforms for lift and torque measurement are built for this robot.The mean lift generated by the robot is measured to be proportional to the square of the input voltage amplitude.The three control torques are measured to be respectively proportional to three decoupled parameters of the control voltages,therefore the modulation of three control torques for the robot is independent,which is helpful for the further controlled flight.All these measured results fit well with the calculated results of the aerodynamic model.Furthermore,with a total weight of 96 mg and a wingspan of 3.5 cm,this robot can generate sufficient lift to take off. | Chenyang Wang Weiping Zhang Yang Zou Ran Meng Jiaxin Zhao Mingchen Wei | 2020 | Journal of Bionic Engineering2020，17，6： | 2 |
| 2 | Description of space charge transport in oil‐paper insulation using adaptive time‐stepping transient upstream finite element method显示文摘The charge transport and accumulation in oil-paper can cause the insulation degradation.So far,the most widely used model to simulate space charge transport and accumulation is the bipolar charge transport(BCT)model,which can well simulate the space charge dynamics.However,there are two shortcomings in the algorithms for solving the BCT model.One is that there is almost no use of vectorisation technology,which may increase the complexity of the algorithm,the other is the usage of fixed step size which might bring extra computation cost.In view of this,an adaptive time‐stepping transient up-stream finite element method(FEM)is developed to solve the BCT model considering trapping/detrapping,as well as the recombination phenomenon under DC condition in this article.Then,a vectorisation technology is used in the method to optimise the al-gorithm.Moreover,the adaptive time‐stepping method is introduced in simulation to reduce computation time and calculation amount.Simulation results are obtained by programing and later presented,which are basically consistent with the corresponding experimental results.Therefore,the proposed method is expected to promote the opti-mization design of the oil-paper insulation system. | Jiefeng Liu Mingchen Shi Yiyi Zhang Bing Gao Wei Zhang Shuo Liang | 2022 | High Voltage2022，7，1： | 0 |
| 3 | A Pharmacological Study on Action Mechanism of Zhizi Ganjiang Decoction from Treatise on Cold Damage Diseases in Treating Sleep Disorders显示文摘[Objectives]To explore the molecular mechanism of Zhizi Ganjiang Decoction(ZZGJD)regulating sleep disorders based on the network pharmacology.[Methods]The BATMAN-TCM server was used to predict the potential targets of ZZGJD and constructed a compound-disease-target network map,and the GeneCards database was used to search for insomnia-related targets;with the aid of Cytoscape 3.5.1 software,the compound-insomnia target interaction network and protein-protein interaction(PPI)network were constructed,and gene ontology(GO)enrichment,Reactome pathway enrichment,and biological pathway enrichment analysis based on KEGG(Kyoto Encyclopedia of Genes and Enomes)was performed.[Results]The constructed PPI network of ZZGJD involves 204 nodes and 645 interaction relationships.Key nodes involve G protein-coupled receptors,rhodopsin-like adrenaline receptor families,zinc finger proteins,nuclear hormone receptor superfamilies,ligand-binding domains of hormone receptors,voltage-gated calcium(Ca^(2+))channel IQ domains,and neuropituitary hormones.The related entries of GO enrichment analysis pathway mainly involve G protein-coupled receptor activity,neurotransmitter receptor activity,adrenergic receptor activity,ammonium ion binding,catecholamine binding,G protein-coupled serotonin receptor activity,serotonin receptor activity,and steroid hormone receptors(SHRs)activity.Reactome pathway mainly involves amine ligand binding receptors,rhodopsin-like receptors,G protein-coupled receptor ligand binding,adrenergic receptors,neuronal systems and signal transduction,etc.KEGG channel analysis mainly involves neural activity ligand-receptor interaction,calcium ion messenger pathway,cAMP signaling pathway,serotonergic synapse,dopaminergic synapse,cGMP-PKG signaling pathway,and cholinergic synapse pathway,etc.[Conclusions]The potential targets of ZZGJD in the treatment of insomnia mainly involve G protein-coupled receptors,and regulate various neural receptor pathways such as calcium ion channels,serotonin,dopamine,and adrenergic receptors.INS,IGF-1,CTNNB1,ESR1,HIF-1A,etc.may be the key targets of ZZGJD in regulating sleep disorders,reflecting the multi-target and overall function characteristics of Chinese herbal compounds.ZZGJD is of great significance in the treatment of sleep disorders caused by blood sugar abnormality in patients with diabetes and perimenopausal hormones in women.This article is expected to It provide new ideas for in-depth study of the molecular mechanism of ZZGJD. | Xiaowei XIN Xuemei LIU Xuelian LIU Zhiwei YANG Fangang MENG Wenxiao WANG Xinxin WEI Daiming ZHANG Mingchen CAO | 2022 | Medicinal Plant2022，13，6： | 0 |
| 4 | Clinical Observation and Network Pharmacology Study on Analgesic Effect of Qianghuo Chushi Decoction on Fasciitis显示文摘[Objectives]To observe the clinical analgesic effect of Qianghuo Chushi Decoction(QHCSD)on patients with fasciitis,and explore its possible molecular mechanism based on network pharmacology.[Methods]120 enrolled patients were randomly divided into experimental group and control group,and were separately treated with QHCSD formula granules and Diclofenac Sodium Enteric-coated Tablets for 4 weeks.The patient’s pain visual analogue scale(VAS)was used as the curative effect indicator.The molecular action mechanism of QHCSD was predicted based on network pharmacology,the active components of QHCSD were screened using TCMSP database,potential targets were predicted by PharmMapper server,compound-target network and protein interaction network were constructed,and GO-based enrichment analysis and KEGG-based biological pathway enrichment analysis were performed.[Results]After treatment,the pain scores in each group were significantly lower than those before treatment(P<0.01),the score of the experimental group was significantly lower than that of the control group(P<0.01),and the total effective rate of the experimental group was 83.33%,which was significantly higher than that of the control group(78.33%,P<0.05).Based on 108 active components in QHCSD,a compound-target network was constructed.The PPI network contained 155 nodes and 527 interaction relationships,and key nodes included FOS,ESR1,NCOA1,RELA,EGFR,MAPK8,IL-6,etc.The GO pathway mainly involved steroid hormone and its receptor activity,RNA polymerase II transcriptional regulator binding,nuclear receptor activity,protein heterodimerization activity and other pathways.KEGG metabolic pathways included PI3 K-Akt signaling pathway,Kaposi’s sarcoma-associated herpesvirus(KSHV)infection and other pathways.[Conclusions]QHCSD has a significant analgesic effect on fasciitis,and the PI3 K-Akt signaling pathway may be the key pathway for its analgesic effect. | Mingchen CAO Lei DONG Chuan WANG Wenjing LI Xinxin WEI Shasha ZHANG Hongxia YU Cheng CHENG Xue YANG | 2022 | Medicinal Plant2022，13，5： | 0 |
| 5 | Trogocytosis of CAR molecule regulates CAR-T cell dysfunction and tumor antigen escape显示文摘Chimeric antigen receptor(CAR)T-cell therapy has demonstrated clinical response in treating both hematologic malignancies and solid tumors.Although instances of rapid tumor remissions have been observed in animal models and clinical trials,tumor relapses occur with multiple therapeutic resistance mechanisms.Furthermore,while the mechanisms underlying the long-term therapeutic resistance are well-known,short-term adaptation remains less understood.However,more views shed light on short-term adaptation and hold that it provides an opportunity window for long-term resistance.In this study,we explore a previously unreported mechanism in which tumor cells employ trogocytosis to acquire CAR molecules from CAR-T cells,a reversal of previously documented processes.This mechanism results in the depletion of CAR molecules and subsequent CAR-T cell dysfunction,also leading to short-term antigen loss and antigen masking.Such type of intercellular communication is independent of CAR downstream signaling,CAR-T cell condition,target antigen,and tumor cell type.However,it is mainly dependent on antigen density and CAR sensitivity,and is associated with tumor cell cholesterol metabolism.Partial mitigation of this trogocytosis-induced CAR molecule transfer can be achieved by adaptively administering CAR-T cells with antigen density-individualized CAR sensitivities.Together,our study reveals a dynamic process of CAR molecule transfer and refining the framework of clinical CAR-T therapy for solid tumors. | You Zhai Yicong Du Guanzhang Li Mingchen Yu Huimin Hu Changqing Pan Di Wang Zhongfang Shi Xu Yan Xuesong Li Tao Jiang Wei Zhang | 2024 | Signal Transduction and Targeted Therapy2024，9，1： | 0 |
| 6 | Advances in Research of Mechanism of Herb-Drug Interactions显示文摘With the concurrent consumption of herbal medicines and conventional drugs,herb-drug interactions(HDIs)have become the most important clinical consequence of this practice.A general overview and the significance of pharmacokinetic and pharmacodynamic HDIs are provided,detailing basic mechanism,especially the metabolic enzymes and drug transporters,such as CYP450 and P-gp. | Mingchen CAO Chuan WANG Zhiwei YANG Zenan ZHANG Wenxiao WANG Hongxia YU Shasha ZHANG Cheng CHENG Wei REN | 2023 | Medicinal Plant2023，14，1： | 0 |
| 7 | Online Sequential Double Parallel Extreme Learning Machine for Classifications显示文摘Double parallel forward neural network(DPFNN) model is a mixture structure of single-layer perception and single-hidden-layer forward neural network(SLFN).In this paper,by making use of the idea of online sequential extreme learning machine(OS-ELM) on DPFNN,we derive the online sequential double parallel extreme learning machine algorithm(OS-DPELM).Compared to other similar algorithms,our algorithms can achieve approximate learning performance with fewer numbers of hidden units,as well as the parameters to be determined.The experimental results show that the proposed algorithm has good generalization performance for real world classification problems,and thus can be a necessary and beneficial complement to OS-ELM. | Mingchen YAO Chao ZHANG Wei WU | 2016 | Journal of Mathematical Research with Applications2016，36，5： | 0 |
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