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RISS 인기검색어
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- 저자 : Zhihang Li (검색결과 4 건)
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Zengenni Liang,Zhihang Yuan,Gaoyang Li,Fuhua Fu,Yang Shan 한국식품영양과학회 2018 Journal of medicinal food Vol.21 No.12
The mechanisms underlying the effect of Ganoderma lucidum (Reishi mushroom) polysaccharides (GLP) on obesity are not clear. In this study, GLP were found to attenuate the oleic acid–induced cell viability loss and apoptosis dose dependently in splenic lymphocytes in vitro. The effects of GLP on lipid metabolism, oxidative stress, and apoptosis in mice fed a high-fat diet (HD) were determined. GLP administration (200 and 400 mg/kg bw) significantly lowered the body-weight increases; liver, heart, and white adipose tissues indexes; serum lipid accumulation; and serum and small intestine oxidative stress in mice fed a HD. Moreover, GLP inhibited HD-induced apoptosis by decreasing the Bax/Bcl-2 ratio and suppressing caspase-3 activation in splenic lymphocytes. These findings indicate that GLP can exert hypolipidemic, antioxidant, and antiapoptotic effects in HD-induced obese mice.
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One-step deep learning-based method for pixel-level detection of fine cracks in steel girder images
Huamei Zhu,Zhihang Li,Mengqi Huang,Pengxuan Ji,Qianbing Zhang 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1
Identifying fine cracks in steel bridge facilities is a challenging task of structural health monitoring (SHM). This study proposed an end-to-end crack image segmentation framework based on a one-step Convolutional Neural Network (CNN) for pixel-level object recognition with high accuracy. To particularly address the challenges arising from small object detection in complex background, efforts were made in loss function selection aiming at sample imbalance and module modification in order to improve the generalization ability on complicated images. Specifically, loss functions were compared among alternatives including the Binary Cross Entropy (BCE), Focal, Tversky and Dice loss, with the last three specialized for biased sample distribution. Structural modifications with dilated convolution, Spatial Pyramid Pooling (SPP) and Feature Pyramid Network (FPN) were also performed to form a new backbone termed CrackDet. Models of various loss functions and feature extraction modules were trained on crack images and tested on full-scale images collected on steel box girders. The CNN model incorporated the classic U-Net as its backbone, and Dice loss as its loss function achieved the highest mean Intersection-over-Union (mIoU) of 0.7571 on full-scale pictures. In contrast, the best performance on cropped crack images was achieved by integrating CrackDet with Dice loss at a mIoU of 0.7670.
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Huamei Zhu,Zhihang Li,Mengqi Huang,Pengxuan Ji,Hongyu Huang,Qianbing Zhang 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.31 No.4
Post-earthquake building condition assessment is crucial for subsequent rescue and remediation and can be automated by emerging computer vision and deep learning technologies. This study is based on an endeavour for the 2nd International Competition of Structural Health Monitoring (IC-SHM 2021). The task package includes five image segmentation objectives - defects (crack/spall/rebar exposure), structural component, and damage state. The structural component and damage state tasks are identified as the priority that can form actionable decisions. A multi-task Convolutional Neural Network (CNN) is proposed to conduct the two major tasks simultaneously. The rest 3 sub-tasks (spall/crack/rebar exposure) were incorporated as auxiliary tasks. By synchronously learning defect information (spall/crack/rebar exposure), the multi-task CNN model outperforms the counterpart single-task models in recognizing structural components and estimating damage states. Particularly, the pixel-level damage state estimation witnesses a mIoU (mean intersection over union) improvement from 0.5855 to 0.6374. For the defect detection tasks, rebar exposure is omitted due to the extremely biased sample distribution. The segmentations of crack and spall are automated by single-task U-Net but with extra efforts to resample the provided data. The segmentation of small objects (spall and crack) benefits from the resampling method, with a substantial IoU increment of nearly 10%.
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Fabo Chen,Jian Gao,Wenbo Li,Yi Liu,Ping Fang,Zhihang Peng 한국원예학회 2021 Horticulture, Environment, and Biotechnology Vol.62 No.6
Red-fl eshed radishes (RFRs) are economically important root vegetable in the Brassicaceae family that contain high concentrationsof radish-red pigment in their fl eshy root. However, the yield of the fl eshy root is limited and germplasm resourcesfor radish improvement are lacking. Genome doubling is an eff ective and effi cient breeding tool for the rapid creation ofnew germplasm resources. Therefore, we aimed to induce tetraploidy in RFRs to improve pigment production. RFR seedswere immersed in aqueous colchicine (0, 0.01, 0.05, 0.10, 0.15, and 0.20% (w/v)) for 24 h followed by cultivation at 25 for 7 days, and those with uniform and distinctly swelled and short hypocotyls were selected as putative tetraploids. Theputative tetraploids were identifi ed by fl ow cytometry, and then we further examined the morphological and cytologicalcharacteristics of the diploid and tetraploid plants and measured gene expression via reverse transcription quantitative PCR. The results indicated that the most suitable concentration of colchicine (0.05% (w/v)) could induce tetraploidy in RFRs, witha tetraploid-induction rate as high as 34.50%. In addition, tetraploids exhibited a “gigantism” eff ect in both morphologicaland cytological traits, including swelled hypocotyls, thicker cotyledons, larger stoma, wider and longer leaves, taller plants,larger fl owers, increased pollen size, larger seed pods and seeds, and a larger taproot. Moreover, compared with diploid plants,the pigment content and yield of pigment per plant of tetraploid plants were increased by 65.11% and 216.82%, respectively. Therefore, we present a simple and effi cient method for tetraploid induction via soaking radish seeds in 0.05% (w/v) colchicinefor 24 h. The results showed that tetraploid plants not only exhibited obvious “gigantism” eff ects but also signifi cantlyenhanced accumulation of anthocyanins, and represent a practical breeding material for improving pigment yield in RFRs.
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