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오늘 본 자료
Chenyang Qi,Liping Zou,Suxia Wang,Xing Mao,Yuan Hu,Jiaoyu Shi,Zhigang Zhang,Huijuan Wu 대한암학회 2022 Cancer Research and Treatment Vol.54 No.1
Purpose The role of vacuolar protein sorting 34 (Vps34), an indispensable protein required for cell vesicular trafficking, in the biological behavior of hepatocellular carcinoma (HCC) has yet to be studied. Materials and Methods In the present study, the expression of Vps34 in HCC and the effect of Vps34 on HCC cell invasion was detected both in vivo and in vitro. Furthermore, by modulating the RILP and Rab11, which regulate juxtanuclear lysosome aggregation and recycling endosome respectively, the underlying mechanism was investigated. Results Vps34 was significantly decreased in HCC and negatively correlated with the HCC invasiveness both in vivo and in vitro. Moreover, Vps34 could promote lysosomal juxtanuclear accumulation, reduce the invasive ability of HCC cells via the Rab7-RILP pathway. In addition, the deficiency of Vps34 in HCC cells affected the endosome-lysosome system, resulting in enhanced Rab11 mediated endocytic recycling of cell surface receptor and increased invasion of HCC cells. Conclusion Our study reveals that Vps34 acts as an invasion suppressor in HCC cells, and more importantly, the endosome-lysosome trafficking regulated by Vps34 has the potential to become a target pathway in HCC treatment.
Research on Spider Fine-Grained Recognition Technology Based on Transfer Learning
Jianming Wang,Longfeng Deng,Chenyang Shi,Guosheng Ye,Zizhong Yang 한국정보과학회 2023 Journal of Computing Science and Engineering Vol.17 No.4
Few-shot image recognition represents a critical challenge in computer vision research. The scarcity of samples often results in inaccurate classification, limited generalization capabilities, and overfitted model recognition. To address these issues, the present study focuses on spider image recognition utilizing transfer learning and data augmentation techniques in limited sample settings. First, the BasNet image segmentation model and background replacement algorithm are used to extract species image data from the foreground; data augmentation is then applied to address the scarcity of samples. Second, a layer-by-layer fine-tuned transfer learning strategy based on the ResNet-50 model is devised. Specifically, to mitigate overfitting in the few-shot image classification task, the first two residual blocks are frozen so that only the last two are trained. To enhance the model’s representation and generalization abilities, the SSC-ResNet-50 optimization model is constructed by introducing symmetry techniques. This study aims to enhance the accuracy and performance of spider image recognition. The experimental results demonstrate that the improved SSC-ResNet-50 model achieves an average accuracy of 99.1% in recognizing five types of spiders, thereby surpassing the performance of traditional models. These findings offer valuable insights for the field of small-sample high-precision image recognition.
Junfeng Yang,Yuyang Wu,Yanhui Dong,Hao Cui,Chenyang Shi,Hang Sun,Shengyan Yin 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.111 No.-
Herein, a ternary Bi@H-TiO2/B-C3N4 type II heterostructure is successfully designed and prepared viametal Bi as cocatalyst for photocatalytic H2 generation. As expected, under k > 300 nm light, the highestphotocatalytic hydrogen production rate (HPR) of Bi@H-TiO2/B-C3N4 is up to 223.08 lmol g1 h1. Excitingly, under visible light (k > 400 nm), the highest HPR of Bi@H-TiO2/B-C3N4 is increased to18.84 lmol g1 h1, which is about 67.3 times, 37.7 times and 6.8 times as high as that of H-TiO2, BC3N4and H-TiO2/B-C3N4 under the same conditions, respectively. Moreover, the electrochemical impedancespectroscopy and transient photocurrent tests manifest that the interface resistance of Bi@HTiO2/B-C3N4 composite decreases and the photocurrent density increases after loading metal Bi. Theseresults indicate that loading metal Bi as cocatalyst (providing more electron trapping sites) is beneficialto improve photocatalytic activity in the type II heterostructure composite. And the electron transferdirections (B-C3N4 ? H-TiO2 ? Bi or B-C3N4 ? Bi) are proved by ultraviolet photoelectron spectroscopytest. Therefore, the Bi@H-TiO2/B-C3N4 photocatalyst with strong visible light absorption is expected to bea promising candidate in photocatalytic fields under visible light.
Research on Natural Gas Leakage Diffusion of Urban Underground Pipeline and its Explosion Hazard
Dai Wang,Peng Liu,Chenguang Hua,Hai Zhang,Chenyang Shi,Jianmei Du 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2
For the risk of gas leakage and explosion that may occur during the serviceability of urban natural gas pipeline, based on the numerical simulation conducted by FLACS, the gas leakage, explosion and disaster risk under the different speed of wind are mainly studied with local climate characteristics for actual urban street. The results show that the wind speed has an obvious effect on the gas leakage and diffusion, the deviation of gas leakage direction is not obvious for the smaller speed of wind at the initial stage, the horizontal diffusion range gradually increases with the increase of wind speed, while the vertical diffusion range gradually decreases, and the volume of gas at the limit concentration of combustion and explosion gradually decreases. In urban buildings, the overpressure load of higher buildings is lower. After the explosion, the peak overpressure at the same monitoring point decreases with the increase of wind speed. With the increase of distance from the building to the explosion location, the overpressure load on the building decreases and the oscillation effect of overpressure load is relatively gentle. The thermal radiation after burning has great influence on the surrounding buildings and downwind position, especially the buildings around the leakage point.