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| 1 | Down-regulated miR-625 suppresses invasion and metastasis of gastric cancer by targeting ILK显示文摘 | Ming Wang Chenglong Li Hui Nie Xin Lv Ying Qu Beiqin Yu Liping Su Jianfang Li Xuehua Chen Jingfang Ju Yingyan Yu Min Yan Qinlong Gu Zhenggang Zhu Bingya Liu | 2012 | FEBS Letters2012，，16： | 1 |
| 2 | Down-regulated miR-625 suppresses invasion and metastasis of gastric cancer by targeting ILK显示文摘 | Ming Wang Chenglong Li Hui Nie Xin Lv Ying Qu Beiqin Yu Liping Su Jianfang Li Xuehua Chen Jingfang Ju Yingyan Yu Min Yan Qinlong Gu Zhenggang Zhu Bingya Liu | 2012 | FEBS Letters2012，，16： | 1 |
| 3 | Robust on-demand rou- ting mechanism for wireless multi- hop networks 显示文摘 | Su Jingfang Wu Muqing Zhen Yan | 2011 | IET Communications2011，5，5： | 1 |
| 4 | Overexpression of a sugarcane ScCaM gene negatively regulates salinity and drought stress responses in transgenic Arabidopsis thaliana显示文摘Calmodulin(CaM)proteins play a key role in signal transduction under various stresses.In the present study,the effects of a sugarcane ScCaM gene(NCBI accession number:GQ246454)on drought and salt stress tolerance in transgenic Arabidopsis thaliana and Escherichia coli cells were evaluated.The results demonstrated a significant negative role of ScCaM in the drought and salt stress tolerance of transgenic lines of A.thaliana,as indicated by the phenotypes.In addition,the expression of AtP5CS and AtRD29A,two genes tightly related to stress resistance,was significantly lower in the overexpression lines than in the wild type.The growth of E.coli BL21 cells expressing ScCaM showed weaker tolerance under mannitol and NaCl stress.Taken together,this study revealed that the ScCaM gene plays a negative regulatory role in both mannitol and NaCl stresses,and it possibly exerts protective mechanisms common in both prokaryotes and eukaryotes under stress conditions. | JINXIAN LIU JINGFANG FENG CHANG ZHANG YONGJUAN REN WEIHUA SU GUANGHENG WU XIANYU FU NING HUANG YOUXIONG QUE HUI LING JUN LUO | 2023 | BIOCELL2023，47，1： | 0 |
| 5 | A Transmission and Transformation Fault Detection Algorithm Based on Improved YOLOv5显示文摘On the transmission line,the invasion of foreign objects such as kites,plastic bags,and balloons and the damage to electronic components are common transmission line faults.Detecting these faults is of great significance for the safe operation of power systems.Therefore,a YOLOv5 target detection method based on a deep convolution neural network is proposed.In this paper,Mobilenetv2 is used to replace Cross Stage Partial(CSP)-Darknet53 as the backbone.The structure uses depth-wise separable convolution to reduce the amount of calculation and parameters;improve the detection rate.At the same time,to compensate for the detection accuracy,the Squeeze-and-Excitation Networks(SENet)attention model is fused into the algorithm framework and a new detection scale suitable for small targets is added to improve the significance of the fault target area in the image.Collect pictures of foreign matters such as kites,plastic bags,balloons,and insulator defects of transmission lines,and sort theminto a data set.The experimental results on datasets show that themean Accuracy Precision(mAP)and recall rate of the algorithm can reach 92.1%and 92.4%,respectively.At the same time,by comparison,the detection accuracy of the proposed algorithm is higher than that of other methods. | Xinliang Tang Xiaotong Ru Jingfang Su Gabriel Adonis | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 6 | An Elevator Button Recognition Method Combining YOLOv5 and OCR显示文摘Fast recognition of elevator buttons is a key step for service robots toride elevators automatically. Although there are some studies in this field, noneof them can achieve real-time application due to problems such as recognitionspeed and algorithm complexity. Elevator button recognition is a comprehensiveproblem. Not only does it need to detect the position of multiple buttonsat the same time, but also needs to accurately identify the characters on eachbutton. The latest version 5 of you only look once algorithm (YOLOv5) hasthe fastest reasoning speed and can be used for detecting multiple objects inreal-time. The advantages ofYOLOv5 make it an ideal choice for detecting theposition of multiple buttons in an elevator, but it’s not good at specific wordrecognition. Optical character recognition (OCR) is a well-known techniquefor character recognition. This paper innovatively improved the YOLOv5network, integrated OCR technology, and applied them to the elevator buttonrecognition process. First, we changed the detection scale in the YOLOv5network and only maintained the detection scales of 40 ∗ 40 and 80 ∗ 80, thusimproving the overall object detection speed. Then, we put a modified OCRbranch after the YOLOv5 network to identify the numbers on the buttons.Finally, we verified this method on different datasets and compared it withother typical methods. The results show that the average recall and precisionof this method are 81.2% and 92.4%. Compared with others, the accuracyof this method has reached a very high level, but the recognition speed hasreached 0.056 s, which is far higher than other methods. | Xinliang Tang Caixing Wang Jingfang Su Cecilia Taylor | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 7 | Structures of magnetic null points in reconnection diffusion region:Cluster observations显示文摘Magnetic reconnection is a very important and fundamental plasma process in transferring energy from magnetic field into plasma. Previous theory, numerical simulations and observations mostly concen-trate on 2-dimensional (2D) model; however, magnetic reconnection is a 3-dimensional (3D) nonlinear process in nature. The properties of reconnection in 3D and its associated singular structure have not been resolved completely. Here we investigate the structures and characteristics of null points inside the reconnection diffusion region by introducing the discretized Poincaré index through Gauss integral and using magnetic field data with high resolution from the four satellites of Cluster mission. We esti-mate the velocity and trajectory of null points by calculating its position in different times, and compare and discuss the observations with different reconnection models with null points based on character-istics of electric current around null points. | HU YunHui DENG XiaoHua ZHOU Meng TANG RongXin ZHAO Hui FU Song SU ZhiWen WANG JingFang YUAN ZhiGang R. NAKAMURA W. BAUMJOHANN H. REME C. M. CARR | 2008 | Chinese Science Bulletin2008，53，12： | 0 |
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