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- 저자 : Mingxiao Wang (검색결과 4 건)
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Mingxiao Fang,Jun Zheng,Jingxue Wang,Chenpeng Zheng,Xiaojing Leng,E. Wen,Pan Li,Haitao Ran,Liang Zhang,Zhigang Wang 한국생체재료학회 2024 생체재료학회지 Vol.28 No.00
The field of immunotherapy, particularly immune checkpoint blockade (ICB), holds immense potential in mitigating the progression of cancer. However, the challenges of insufficient tumor antigen production and the immunosuppressive state in the tumor microenvironment substantially impede patients from deriving benefits. In this research, we present a tumor-microenvironment-modulation manganese-based nanosystem, PEG-MnMOF@PTX, aiming to improve the responsiveness of ICB. Under acidic conditions, the released Mn2+ accomplishes multiple objectives. It generates toxic hydroxyl radicals (•OH), together with the released paclitaxel (PTX), inducing immunogenic cell death of tumor cells and normalizing tumor blood vessels. Concurrently, it facilitates the in situ generation of oxygen (O2) from hydrogen peroxide (H2O2), ameliorating the microenvironmental immunosuppression and increasing the efficacy of immunotherapy. In addition, this study demonstrates that PEG-MnMOF@PTX can promote the maturation of dendritic cells and augment the infiltration of cytotoxic T lymphocytes through activation of the cyclic guanosine 5′-monophosphate–adenosine 5′-monophosphate synthase (cGAS) and interferon gene stimulator (STING) pathways, namely cGAS–STING pathways, thereby heightening the sensitivity to ICB immunotherapy. The findings of this study present a novel paradigm for the progress in cancer immunotherapy.
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Pedestrian Detection Algorithm Combining HOG and SLBP
Aili Wang,Mingxiao Wang,Jitao Zhang,Yuji Iwahori,Bo Wang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.10
In order to solve the problem of pedestrian detection performance, the described operator was improved. In this paper, semantic local binary pattern (SLBP) and histogram of oriented gradient (HOG) are combined as new feature operator. This feature method would enrich the information and enhance the detection performance. And then histogram intersection kernel support vector machine (HIKSVM) classifier is trained by the augment feature. Because the time cost is too large by the conventional SVM. HIKSVM could make up this drawback, and significantly reduce the training time. The experiments on the INRIA pedestrian dataset show that the method obtained significant improvement in accuracy comparing to HOG descriptors.
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Mingxiao Sun,Changyu Ji,Tiantian Luan,Nan Wang 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.3
The poor adaptability matrix of traditional LQR controller causes the problems of large payload swing and slow response for ship-mounted cranes during operation. To solve such problems, an LQR controller based on an improved grey wolf optimization algorithm (IGWO-LQR) is proposed. Firstly, the dynamics model of ship-mounted crane is constructed, the pendulum reduction problem is transformed into the LQR quadratic performance index problem, and IGWO is used to optimize the weight matrix. At the same time, the RBF neural network is applied to compensate for the non-linear wave disturbances in the system. Finally, the pendulum reduction efficiency of the controller under different parameters and conditions is verified by numerical simulation. Compared with the traditional LQR controller, the simulation results show that the control accuracy of the IGWO-LQR controller is improved by about 5%, and the response speed is improved by about 5–10 s. This method can significantly reduce the payload swing and improve work efficiency.
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Zheng Jun,Huang Ju,Zhang Liang,Wang Mengna,Xu Lihong,Dou Xiaoyun,Leng Xiaojing,Fang Mingxiao,Sun Yang,Wang Zhigang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Although programmed cell death protein 1 (PD-1)/ programmed cell death-ligand protein 1 (PD-L1) checkpoint blockade immunotherapy demonstrates great promise in cancer treatment, poor infiltration of T cells resulted from tumor immunosuppressive microenvironment (TIME) and insufficient accumulation of anti-PD-L1 (αPD-L1) in tumor sites diminish the immune response. Herein, we reported a drug-loaded microbubble delivery system to overcome these obstacles and enhance PD-L1 blockade immunotherapy.Docetaxel (DTX) and imiquimod (R837)-loaded microbubbles (RD@MBs) were synthesized via a typical rotary evaporation method combined with mechanical oscillation. The targeted release of drugs was achieved by using the directional "bursting" capability of ultrasound-targeted microbubble destruction (UTMD) technology. The antitumor immune response by RD@MBs combining αPD-L1 were evaluated on 4T1 and CT26 tumor models.The dying tumor cells induced by DTX release tumor-associated antigens (TAAs), together with R837, promoted the activation, proliferation and recruitment of T cells. Besides, UTMD technology and DTX enhanced the accumulation of αPD-L1 in tumor sites. Moreover, RD@MBs remolded TIME, including the polarization of M2-phenotype tumor-associated macrophages (TAMs) to M1-phenotype, and reduction of myeloid-derived suppressor cells (MDSCs). The RD@MBs + αPD-L1 synergistic therapy not only effectively inhibited the growth of primary tumors, but also significantly inhibited the mimic distant tumors as well as lung metastases.PD-L1 blockade immunotherapy was enhanced by RD@MBs delivery system.
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