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Xiaoqing Feng,Bin Ye,Xiaoyang Zhang,Yang Dai,Feng Xia 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.6
Soil layers including shallow gas threaten underground structures. Considering the special geological conditions of the gas-bearing layers under the Yangtze River for the Sutong River-crossing unity tunnel project, a solid-liquid-gas coupled 3-D numerical model was established to consider two different gas pocket conditions (a single gas pocket and multiple random gas pockets), and the effects of shallow gas on the tunnel segment and the adjacent soils in the long-term process of gas leakage were analyzed and discussed. A brief discussion of the displacement results and a comparison of the stress results determined by simulation and the designed data indicated that as the maximum displacement is on the order of millimeters for both gas pocket conditions and the simulated maximum bending moment is less than the design value for the bending moment, the structure of the tunnel segment has remained in a safe state during the leakage of the gas pocket, and the normal operation of the tunnel segment is basically not affected by the leakage of the gas pocket.
Digital Watermark of 3D CAD Product Model
Xiaoqing Feng,Yanan Liu,Lincong Fang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9
This paper proposes a novel watermarking algorithm of 3D CAD product model, which is able to keep strictly geometrical shape around embedding watermark and make watermarked model have function transparency. Firstly, the isolated geometrical entities are selected as watermark carriers. Secondly, the watermark is embedded into the isolated geometrical entities with a geometric entity substitution algorithm. When extracting the watermark, the original product model and pre-process (registration or re-sampling) need not be provided. The experimental results have shown that the proposed watermarking algorithm is robustness against some common attacks, such as transformation, rotation, scaling and entity deletion.
Xiaoqing Pan,Xinglong Wang,Le Shao,Jie Yang,Feng Qin,Jian Li,Xia Zhang,Pin Zhai 한국축산학회 2022 한국축산학회지 Vol.64 No.3
The purpose of this study was to analyse the effects of light colour on rabbit reproductive performance and the expression of key follicular development genes. Rabbits (n = 1,068, 5 months old, 3.6–4.4 kg live body weight) were divided randomly into four groups, housed individually in wire mesh cages and exposed to red, green, blue, and white light-emitting diode (LED) light (control). The lighting schedule was 16 L : 8 D-15 d / 150 lx / 6:00 am–22:00 pm (3 d preartificial insemination to 12 d postartificial insemination). Red light and white light affected the conception rate and kindling rate and increased the total litter size at birth (p < 0.05). The effects of red light on litter size at weaning, litter weight at weaning, and individual weight at weaning increased compared with the green and blue groups. The effects of red light on live litter size at birth were increased compared with those in the blue group (p < 0.05). Compared to white light, green and blue light reduced the number of secondary follicles (p < 0.05). Compared to red light, green and blue light reduced the number of tertiary follicles (p < 0.05). Compared with white light, red LED light resulted in greater ovarian follicle stimulating hormone receptor and luteinizing hormone receptor mRNA expression (p < 0.05). Compared with green and blue LED light, red LED light resulted in greater B-cell lymphom-2 mRNA expression (p < 0.05). Compared with green LED light, red LED light inhibited FOXO1 mRNA expression in rabbit ovaries (p < 0.05). Red light can affect the reproductive performance of female rabbits and the expression of key genes for follicular development.
Xiaoqing Tian,Ying-Hua Ling,Li-kui Fang,Peng Du,Xian-Chun Sang,Fang-Ming Zhao,Yun-Feng Li,Rong Xie,Guang-Hua He 한국유전학회 2013 Genes & Genomics Vol.35 No.1
Chlorophyll is an important photosynthetic pigment in the process of photosynthesis in plants and photosynthetic bacteria. Genes involved in chlorophyll biosynthesis in Arabidopsis and photosynthetic bacteria have been well documented. In rice, however, these genes have not been fully annotated. In this paper, a yellow-green leaf gene, yellow green leaf3 (ygl3) was cloned and analyzed. ygl3 encodes magnesium chelation ChlD (D) subunit,a key enzyme for chlorophyll synthesis, resulting in a yellow-green leaf phenotype in all growth stages in rice. Expression content of ygl3 is highest in the leaf blades,followed by the leaf sheaths, while there is virtually no expression of the gene in the stems and seeds. The subcellular structure and protein content of the photosynthetic system of the ygl3 mutant were revealed by transmission electron microscopy, BN-PAGE, and western blotting. The results show that the mutation of the ygl3 gene indirectly leads to a decrease in the protein content of the photosynthetic system and severely obstructs the formation of granum thylakoids.
Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions
Xiaoqing Wang,Martin Uecker,Li Feng 대한자기공명의과학회 2021 Investigative Magnetic Resonance Imaging Vol.25 No.4
Cardiac magnetic resonance imaging (MRI) serves as a clinical gold-standard noninvasive imaging technique for the assessment of global and regional cardiac function. Conventional cardiac MRI is limited by the long acquisition time, the need for ECG gating and/or long breathhold, and insufficient spatiotemporal resolution. Real-time cardiac cine MRI refers to high spatiotemporal cardiac imaging using data acquired continuously without synchronization or binning, and therefore of potential interest in overcoming the limitations of conventional cardiac MRI. Novel acquisition and reconstruction techniques must be employed to facilitate real-time cardiac MRI. The goal of this study is to discuss methods that have been developed for realtime cardiac MRI. In particular, we classified existing techniques into two categories based on the use of non-iterative and iterative reconstruction. In addition, we present several research trends in this direction, including deep learning-based image reconstruction and other advanced real-time cardiac MRI strategies that reconstruct images acquired from real-time free-breathing techniques.
Electrostatic Discharge Characteristics of Cable Discharge Event
Yu Zhang,Yafei Yuan,Xiaoqing Li,Ming Yang,Na Feng,Ziwei Lu,Jihao He,Qizheng Ji 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.1
The characteristics of cable electrostatic discharge event are investigated, which has been proved to be a hazard leading to ESD damage. The electrostatic voltage under operations on cable is measured and the effects of the discharge parameters including electrostatic voltage, cable length, cable type and the distance to the ground on cable discharge event (CDE) are studied experimentally. The CDE current waveform appears as a sequence of oscillating rectangular pulses with fast rising time, short pulse width but high amplitude. The current amplitude linearly increases with the electrostatic voltage, while the pulse width is mainly determined by the cable length. The distance to the ground and the cable type has little influence once the distance is relatively large. The discharge by cable with multiple cores is also investigated. Theoretical discussion is made to explain the phenomenon and its mechanism.
( Yujen Tseng ),( Lili Ma ),( Tiancheng Luo ),( Xiaoqing Zeng ),( Feng Li ),( Na Li ),( Yichao Wei ),( Shiyao Chen ) 대한간학회 2018 Gut and Liver Vol.12 No.5
Background/Aims: Gastroesophageal variceal hemorrhage is a common complication of portal hypertension. Endoscopic therapy is currently recommended for preventing gastroesophageal variceal rebleed. However, the rate of variceal rebleed and its associated mortality remain concerning. This study is aimed at differentiating patient response to endoscopic therapy based on endoscopic ultrasound (EUS) findings. Methods: One-hundred seventy patients previously treated with repeat endoscopic therapy for secondary prophylaxis were enrolled and classified into two groups based on treatment response. Prior to consolidation therapy, all patients received an EUS examination to observe for extraluminal phenomena. All available follow-up endoscopic examination records were retrieved to validate study results. Results: Of the 170 subjects, 106 were poor responders, while 64 were good responders. The presence of para-gastric, gastric perforating, and esophageal perforating veins was associated with poor patient response (p<0.001). The odds ratio for para-gastric veins was 5.374. Follow-up endoscopic findings for poor responders with incomplete variceal obliteration was closely correlated with the presence of para-gastric veins (p=0.002). Conclusions: The presence of para-gastric veins is a characteristic of poor response to endoscopic therapy for treating gastroesophageal varices. Early identification of this subgroup necessitates a change in course of treatment to improve overall patient outcome. (Gut Liver 2018;12:562- 570)
Crowd Activity Classification Using Category Constrained Correlated Topic Model
( Xianping Huang ),( Wanliang Wang ),( Guojiang Shen ),( Xiaoqing Feng ),( Xiangjie Kong ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Automatic analysis and understanding of human activities is a challenging task in computer vision, especially for the surveillance scenarios which typically contains crowds, complex motions and occlusions. To address these issues, a Bag-of-words representation of videos is developed by leveraging information including crowd positions, motion directions and velocities. We infer the crowd activity in a motion field using Category Constrained Correlated Topic Model (CC-CTM) with latent topics. We represent each video by a mixture of learned motion patterns, and predict the associated activity by training a SVM classifier. The experiment dataset we constructed are from Crowd_PETS09 bench dataset and UCF_Crowds dataset, including 2000 documents. Experimental results demonstrate that accuracy reaches 90%, and the proposed approach outperforms the state-of-the-arts by a large margin.