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miR-221/222/PUMA Axis Promotes Oral Squamous Cell Carcinoma Apoptosis

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口腔学期刊(英文) 2023年第10期13卷 367-383页

作者： Fangfang Jiang Qiaoyun Huang Jiexiang Nian shenghui yang Department of Stomatology Jining No. 1 People’s Hospital Jining China State Key Laboratory of Agricultural Microbiology Huazhong Agricultural University Wuhan China Nong Bo Jun She Bio-Technology Co. Ltd. Jining China

Background: To investigate the therapeutic activity of the miR-221/222 inhibitor against OSCC in vitro and in vivo. Materials and Methods: HSC3 and HSC6 were treated with miR-221/222 inhibitor and the empty vector respectively. After the recombinants were transfected into HSC3 and HSC6 with LipofectamineTM MAX, the expression of miR-221/222 and PUMA was analyzed by RT-PCR. The proliferation and migration of HSC3 and HSC6 were detected by CCK-8 assay and Wound-healing assay. Cell cycle and apoptosis were detected by flow cytometry. The effect of the miR-221/222 inhibitor was also assessed in OSCC xenografts in BALB/c-nu mice. Results: Transfection of the miR-221/222 inhibitor increased cell apoptosis and upregulated PUMA expression in OSCC cell lines HSC3 and HSC6 with the significantly reduced expression of miR-221 and miR-222. Furthermore, the miR-221/222 inhibitor suppressed cell growth and invasion and blocked the cell cycle at the G1 phase. Obvious anti-tumor activity was achieved in BALB/c-nu mice by treatment with the miR-221/222 inhibitor, together with the upregulation of PUMA protein in tumors retrieved from the mice. Conclusions: There was a significant inhibitory effect of the miR-221/222 inhibitor on the growth of OSCC both in vitro and in vivo, and there might be a regulatory loop between miR-221/222 and PUMA. These findings demonstrated that downregulation of miR-221/222 could induce cell apoptosis, and it might be considered as a candidate target for gene therapy of OSCC.

关键词： miR-221/222 Apoptosis Oral Squamous Cell Carcinoma PUMA Target

Model migration for CFD and verification of a six-rotor UAV downwash

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International Journal of Agricultural and Biological Engineering 2020年第4期13卷 10-18,F0002页

作者： shenghui yang Qing Tang Yongjun Zheng Xingxing Liu Jian Chen Xiaolong Li College of Engineering China Agricultural UniversityBeijing 100083China National Research Centre of Intelligent Equipment for Agriculture Beijing 100097China

Currently,Computational Fluid Dynamics(CFD)has been used to investigate agricultural UAV downwash.However,the validations of CFD models are difficult to deal with.Current verification methods are to use either water-sensitive papers or wind-speed arrays,which could get wind distribution or speed only.In this study,model migration was used to develop and verify downwash CFD models.The basic idea is to try to use the results of a scaled-down drone to represent that of a real-used UAV.The CFD models of both a real-used six-rotor UAV,JF01-10,and a 1:10 scaled-down small drone were developed by ANSYS.Then,the scaled-down drone was utilized to conduct trials by particle image velocimetry(PIV),so that not only distribution and speed but also flowing direction of downwash could be obtained.Results indicated the relative error between the PIV tests and the CFD models of the small UAV was less than 12%,while that between the tests and the CFD models of JF01-10 was less than 34%.It could be indicated that model migration could reflect multiple downwash characteristics but should be optimized in some complex details.This study was a preliminary but fundamental attempt to investigate CFD modelling and validation of agricultural UAVs and provided a novel thinking of downwash verification.

关键词： multi-rotor UAV downwash numerical simulation computational fluid dynamics verification model migration

The computational fluid dynamic modeling of downwash flow field for a six-rotor UAV

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Frontiers of Agricultural Science and Engineering 2018年第2期5卷 159-167页

作者： Yongjun ZHENG shenghui yang Xingxing LIU Jie WANG Tomas NORTON Jian CHEN Yu TAN College of Engineering China Agricultural University Department of Engineering Harper Adams University

The downwash flow field of the multi-rotor unmanned aerial vehicle(UAV), formed by propellers during operation, has a significant influence on the deposition, drift and distribution of droplets as well as the spray width of the UAV for plant protection. To study the general characteristics of the distribution of the downwash airflow and simulate the static wind field of multi-rotor UAVs in hovering state, a 3 D full-size physical model of JF01-10 six-rotor plant protection UAV was constructed using Solid Works. The entire flow field surrounding the UAV and the rotation flow fields around the six rotors were established in UG software. The physical model and flow fields were meshed using unstructured tetrahedral elements in ANSYS software.Finally, the downwash flow field of UAV was simulated.With an increased hovering height, the ground effect was reduced and the minimum current velocity increased initially and then decreased. In addition, the spatial proportion of the turbulence occupied decreased. Furthermore, the appropriate operational hovering height for the JF01-10 is considered to be 3 m. These results can be applied to six-rotor plant protection UAVs employed in pesticide spraying and spray width detection.

关键词： CFD simulation downwash flow field numerical analysis plant protection six-rotor UAV

Comparison of Several Data Mining Methods in Credit Card Default Prediction

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Intelligent Information Management 2018年第5期10卷 115-122页

作者： shenghui yang Haomin Zhang School of Science Guilin University of Technology Guilin China

LightGBM is an open-source, distributed and high-performance GB framework built by Microsoft company. LightGBM has some advantages such as fast learning speed, high parallelism efficiency and high-volume data, and so on. Based on the open data set of credit card in Taiwan, five data mining methods, Logistic regression, SVM, neural network, Xgboost and LightGBM, are compared in this paper. The results show that the AUC, F1-Score and the predictive correct ratio of LightGBM are the best, and that of Xgboost is second. It indicates that LightGBM or Xgboost has a good performance in the prediction of categorical response variables and has a good application value in the big data era.

关键词： LightGBM Xgboost AUC F1-Score Data Mining

Changes in family structure in China:the impact of residence patterns and demographic factors

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China Population and Development Studies 2019年第2期2卷 401-411页

作者： shenghui yang Wei Chen China Population and Development Research Center BeijingChina School of Sociology and Population Studies Renmin University of ChinaBeijingChina

Based on census data from China,this paper uses SOCSIM microscopic simulation method to decompose the key factors of family transition into demographic and residence pattern factors.The former are further broken down into demographic inertia,fertility,mortality and marriage rate.The results indicate that the current demographic changes are relatively small and,thus,the small fluctuations caused by demographic changes contribute much less than residence pattern to the family transition.Among the demographic factors,demographic inertia and fertility have a greater effect on family transition and the impacts caused by fertility and marriage rate are consistent with the direction of the overall influence of demographic factors:increasing the proportion of single-person households,one-generation households,and two-generation households,and decreasing the proportion of three-generation or more households.In contrast,the effect of mortality rate was opposite to that of fertility rate,which increased the proportion of populations living in single-person,one-generation,and two-generation households,but the decreased the proportion of the population living in three-generation or more households.

关键词： Family transition SOCSIM microscopic simulation Demographic factors Residence pattern factors

Economic development level and urban settlement intentions of the new-generation migrants in China: direct or interaction effect?

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China Population and Development Studies 2020年第1期3卷 113-141页

作者： Yinan Sheng shenghui yang Population and Economics Institute Capital University of Economics and BusinessBeijingChina China Population and Development Research Center BeijingChina

Based on a theoretical framework,this paper uses a multilevel model to examine the factors that correlate with the settlement intentions of China’s new-generation migrants.The level of regional economic development exerts not only random effects,but also an interaction effect with social integration on urban settlement intentions.Economic factors,including household income and home ownership,have a significant positive correlation with settlement intentions,while social char-acteristics such as social integration and social identification also have a positive correlation with the settlement intentions of new-generation migrants.Moreover,family migration strategies,parental migration experiences,short migration dis-tances,and long migration durations enhance urban settlement intentions.The set-tlement intentions exhibit significant inter-group differences between the migrants born in the 1980s and in the 1990s.Differences in the effects of the determinants are observed between these group samples and the total sample.

关键词： Settlement intentions Multilevel analysis China New-generation migrants Regional differences Determinants

音频技术在禽畜养殖与果蔬种植中的应用研究进展

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农业工程学报 2024年第7期40卷 34-49页

作者：李文伟郑永军杨圣慧江世界赵航行王慧苏道毕力格谭彧中国农业大学工学院北京100083 智能农业动力装备全国重点实验室北京100083 现代农业装备与设施教育部工程研究中心北京100083

随着信息技术的发展,音频技术凭借其快速、准确、成本低,且非接触、无侵入的优点,被广泛应用于现代农业禽畜养殖与果蔬种植等领域,已成为推动农业数字化、智能化的关键技术之一。该文阐述了音频增强技术如传统滤波法、短时谱估计法和小... 详细信息

随着信息技术的发展,音频技术凭借其快速、准确、成本低,且非接触、无侵入的优点,被广泛应用于现代农业禽畜养殖与果蔬种植等领域,已成为推动农业数字化、智能化的关键技术之一。该文阐述了音频增强技术如传统滤波法、短时谱估计法和小波去噪法在禽畜果植中的研究与应用,综述了音频识别技术在农产品无损检测、动物疾病与健康监测、物种识别与病虫害检测等方面的研究成果,同时分析了音频控制技术在果蔬种植和禽畜养殖中的研究进展,在此基础上总结了现阶段禽畜果植音频增强技术、音频识别技术与音频控制技术面临的问题,并指出其未来可能的研究发展方向,以期为禽畜养殖与果蔬种植领域音频技术的研究与应用提供参考。

关键词：禽畜养殖果蔬种植音频增强音频识别音频控制

全双工辅助的无人机上行通信抗窃听物理层安全技术研究

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现代电子技术 2024年第9期47卷 21-28页

作者：曹建勋王谋业杨胜辉黄耀森吴思凡中电科海洋信息技术研究院有限公司北京100041

针对无人机上行通信链路的窃听攻击,提出一种全双工协同干扰的安全传输策略。方案利用收发双方在数据传输不同阶段的信息差异以及掌握的先验信息特征,向待传输信号注入人工噪声信号,从而使窃听链路形成干扰受限系统。在发射功率、无人... 详细信息

针对无人机上行通信链路的窃听攻击,提出一种全双工协同干扰的安全传输策略。方案利用收发双方在数据传输不同阶段的信息差异以及掌握的先验信息特征,向待传输信号注入人工噪声信号,从而使窃听链路形成干扰受限系统。在发射功率、无人机的机动性等约束条件下,建立最大化系统保密速率的联合优化问题,基于交替优化方法和连续凸近似技术将非凸问题转化为两个子问题,并设计了一种迭代优化算法进行求解。仿真结果表明,所提安全传输方案与其他参照方案相比,能够显著提高全双工无人机中继通信系统的保密速率,表现出更好的性能。

关键词：无人机通信物理层安全全双工人工噪声通信抗窃听连续凸近似

China fertility survey 2017:design and implementation

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China Population and Development Studies 2019年第1期2卷 259-271页

作者： Yaer Zhuang shenghui yang Jianan Qi Bohua Li Xueqing Zhao Zhili Wang China Population and Development Research Center BeijingChina Renmin University of China BeijingChina

This paper examines the design and the process used to carry out the China Fertility Survey 2017,a national representative survey that collected data on fertility desire,childbearing behavior,the use of childbearing services,and the determinants of childbearing behavior.The sampling method adopted was three-stage stratified probabilities proportional to size(PPS),and survey implementation made use of Computer Assisted Personal Interviewing(CAPI).CAPI played a significant role in survey design,last-stage sampling,interviewer training,face-to-face interviews,and questionnaire review and quality control.The survey results were compared with relevant data in the Integrated Management Information System for Population and Family Planning to check consistency.Ex post facto weighting was applied to correct sample structure bias.The process used to acquire accurate personal information is summarized.Suggestions based on consideration of sampling frame distortion by population mobility and other factors are put forward in the hope of improving similar sampling surveys in the future.

关键词： Fertility survey Quality control Ex post facto weighting