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9 results on '"Su, Yujiao"'

1. Analysis of sugar components and identification of SPS genes in citrus fruit development

Author

Lu, Wen, primary, Hao, Wenhui, additional, Liu, Kexin, additional, Liu, Jiahuan, additional, Yin, Chunmei, additional, Su, Yujiao, additional, Hang, Zhiyu, additional, Peng, Bin, additional, Liu, Huan, additional, Xiong, Bo, additional, Liao, Ling, additional, He, Jiaxian, additional, Zhang, Mingfei, additional, Wang, Xun, additional, and Wang, Zhihui, additional

Published
2024
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2. Effect of exogenous melatonin on antioxidant properties and fruit softening of ‘Fengtang’ plum fruit (Prunus salicina Lindl.) during storage at room temperature

Author

Zhang, Mingfei, primary, Yang, Xinxia, additional, Yin, Chunmei, additional, Lin, Xingyu, additional, Liu, Kexin, additional, Zhang, Kexin, additional, Su, Yujiao, additional, Zou, Xu, additional, Liao, Ling, additional, Wang, Xun, additional, He, Siya, additional, He, Ruiyuan, additional, Sun, Guochao, additional, He, Jiaxian, additional, Xiong, Bo, additional, and Wang, Zhihui, additional

Published
2024
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4. Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images.

Author

Xu, Bing, Zhang, Chunju, Liu, Wencong, Huang, Jianwei, Su, Yujiao, Yang, Yucheng, Jiang, Weijie, and Sun, Wenhao

Subjects
DEEP learning, CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), REMOTE sensing, LANDSLIDES, KNOWLEDGE graphs, RECOGNITION (Psychology)
Abstract

Currently, researchers commonly use convolutional neural network (CNN) models for landslide remote sensing image recognition. However, with the increase in landslide monitoring data, the available multimodal landslide data contain rich feature information, and existing landslide recognition models have difficulty utilizing such data. A knowledge graph is a linguistic network knowledge base capable of storing and describing various entities and their relationships. A landslide knowledge graph is used to manage multimodal landslide data, and by integrating this graph into a landslide image recognition model, the given multimodal landslide data can be fully utilized for landslide identification. In this paper, we combine knowledge and models, introduce the use of landslide knowledge graphs in landslide identification, and propose a landslide identification method for remote sensing images that fuses knowledge graphs and ResNet (FKGRNet). We take the Loess Plateau of China as the study area and test the effect of the fusion model by comparing the baseline model, the fusion model and other deep learning models. The experimental results show that, first, with ResNet34 as the baseline model, the FKGRNet model achieves 95.08% accuracy in landslide recognition, which is better than that of the baseline model and other deep learning models. Second, the FKGRNet model with different network depths has better landslide recognition accuracy than its corresponding baseline model. Third, the FKGRNet model based on feature splicing outperforms the fused feature classifier in terms of both accuracy and F1-score on the landslide recognition task. Therefore, the FKGRNet model can make fuller use of landslide knowledge to accurately recognize landslides in remote sensing images. [ABSTRACT FROM AUTHOR]

Published
2023
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6. Exogenous microbiota-derived metabolite trimethylamine N-oxide treatment alters social behaviors: Involvement of hippocampal metabolic adaptation

Author

Luo, Yixiao, primary, Zhao, Penghui, additional, Dou, Mengxiao, additional, Mao, Jiawen, additional, Zhang, Ge, additional, Su, Yujiao, additional, Wang, Qingqun, additional, Wang, Qian, additional, Wang, Yurun, additional, Sun, Ruoxuan, additional, Liu, Tingxuan, additional, Gong, Miao, additional, Gao, Yuan, additional, Yin, Xi, additional, Song, Li, additional, and Shi, Haishui, additional

Published
2021
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7. Simple weak-acid derivatives of paclitaxel for remote loading into liposomes and improved therapeutic effects

Author

Yingli Wang, Jiang Yu, Yongjun Wang, Shuang Zhou, Jiamei Wang, Su Yujiao, Guimei Lin, Xue Wang, Zhonggui He, Dongxu Chi, Dan Liu, and Jinbo Li

Subjects
Drug, Liposome, Chemistry, General Chemical Engineering, media_common.quotation_subject, Therapeutic effect, 02 engineering and technology, General Chemistry, Pharmacology, 021001 nanoscience & nanotechnology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Paclitaxel, In vivo, 030220 oncology & carcinogenesis, Zeta potential, Particle size, Nanocarriers, 0210 nano-technology, media_common
Abstract

Liposomes are among the most successful nanocarriers; several products have been marketed, all of which were prepared by active loading methods. However, poorly water-soluble drugs without ionizable groups are usually incorporated into the lipid bi-layer of liposomes by passive loading methods, with serious drug leakage during blood circulation. Furthermore, there have been few improvements in their anti-cancer activity and safety. Herein, we designed and synthesized three weak-acid modified paclitaxel (PTX) derivatives with a one-step reaction for the remote loading of liposomal formulations. By comparison, PTX-succinic acid liposomes (PTX-SA LPs) exhibited the highest encapsulation efficiency (97.2 ± 1.8%) and drug loading (8.84 ± 0.16%); meanwhile, there was almost no change in their particle size or zeta potential within one month. Furthermore, compared with Taxol®, the PTX-SA LPs showed a 4.35-fold prolonged half-time, enhanced tumor accumulation, and an increased maximum tolerated dose (MTD) of more than 30 mg kg−1. As a result, the PTX-SA LPs displayed significantly improved in vivo anti-cancer efficacy in comparison with Taxol®. Therefore, weak-acid modification is proved to be a simple and effective method to achieve remote loading and high encapsulation efficiency of poorly soluble drugs, showing great potential for clinical application.

Published
2020

9. Trimethylamine N-Oxide Alters Socioemotional Behaviors: Involvement of Hippocampal Metabolic Adaptation

Author

Yin, Xi, primary, Zhao, Penghui, additional, Zhang, Yipu, additional, Dou, Mengxiao, additional, Mao, Jiawen, additional, Zhang, Ge, additional, Su, Yujiao, additional, Wang, Qingqun, additional, Wang, Qian, additional, Wang, Yurun, additional, Sun, Ruoxuan, additional, Liu, Tingxuan, additional, Gao, Yuan, additional, Luo, Yixiao, additional, Song, Li, additional, and Shi, Haishui, additional

Published
2020
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