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205 results on '"Li, Haichang"'

1. The neonatal Fc receptor (FcRn) is a pan-arterivirus receptor

Author

Shaw, Teressa M., Huey, Devra, Mousa-Makky, Makky, Compaleo, Jared, Nennig, Kylie, Shah, Aadit P., Jiang, Fei, Qiu, Xueer, Klipsic, Devon, Rowland, Raymond R. R., Slukvin, Igor I., Sullender, Meagan E., Baldridge, Megan T., Li, Haichang, Warren, Cody J., and Bailey, Adam L.

Published
2024
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3. Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation Adaptation

Author

Zhang, Kai, Sun, Yifan, Wang, Rui, Li, Haichang, and Hu, Xiaohui

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

This paper challenges the cross-domain semantic segmentation task, aiming to improve the segmentation accuracy on the unlabeled target domain without incurring additional annotation. Using the pseudo-label-based unsupervised domain adaptation (UDA) pipeline, we propose a novel and effective Multiple Fusion Adaptation (MFA) method. MFA basically considers three parallel information fusion strategies, i.e., the cross-model fusion, temporal fusion and a novel online-offline pseudo label fusion. Specifically, the online-offline pseudo label fusion encourages the adaptive training to pay additional attention to difficult regions that are easily ignored by offline pseudo labels, therefore retaining more informative details. While the other two fusion strategies may look standard, MFA pays significant efforts to raise the efficiency and effectiveness for integration, and succeeds in injecting all the three strategies into a unified framework. Experiments on two widely used benchmarks, i.e., GTA5-to-Cityscapes and SYNTHIA-to-Cityscapes, show that our method significantly improves the semantic segmentation adaptation, and sets up new state of the art (58.2% and 62.5% mIoU, respectively). The code will be available at https://github.com/KaiiZhang/MFA., Comment: 13 pages, 2 figures, submitted to BMVC2021

Published
2021

4. Cross Modification Attention Based Deliberation Model for Image Captioning

Author

Lian, Zheng, Zhang, Yanan, Li, Haichang, Wang, Rui, and Hu, Xiaohui

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia
Abstract

The conventional encoder-decoder framework for image captioning generally adopts a single-pass decoding process, which predicts the target descriptive sentence word by word in temporal order. Despite the great success of this framework, it still suffers from two serious disadvantages. Firstly, it is unable to correct the mistakes in the predicted words, which may mislead the subsequent prediction and result in error accumulation problem. Secondly, such a framework can only leverage the already generated words but not the possible future words, and thus lacks the ability of global planning on linguistic information. To overcome these limitations, we explore a universal two-pass decoding framework, where a single-pass decoding based model serving as the Drafting Model first generates a draft caption according to an input image, and a Deliberation Model then performs the polishing process to refine the draft caption to a better image description. Furthermore, inspired from the complementarity between different modalities, we propose a novel Cross Modification Attention (CMA) module to enhance the semantic expression of the image features and filter out error information from the draft captions. We integrate CMA with the decoder of our Deliberation Model and name it as Cross Modification Attention based Deliberation Model (CMA-DM). We train our proposed framework by jointly optimizing all trainable components from scratch with a trade-off coefficient. Experiments on MS COCO dataset demonstrate that our approach obtains significant improvements over single-pass decoding baselines and achieves competitive performances compared with other state-of-the-art two-pass decoding based methods., Comment: This work has been submitted to the IEEE TMM for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible

Published
2021

17. Clinical application of superselective transarterial embolization of renal tumors in zero ischaemia robotic-assisted laparoscopic partial nephrectomy

Author

Li, Haichang, primary, Hu, Yuning, additional, Lu, Dongning, additional, Wang, Jingyun, additional, Lin, Yanze, additional, Zhong, Xugang, additional, Mou, Yixuan, additional, Yao, Cenchao, additional, Wang, Zhida, additional, Zhang, Xinyu, additional, Wo, Qijun, additional, Liu, Hanbo, additional, Liu, Feng, additional, Zhang, Dahong, additional, and Wang, Heng, additional

Published
2023
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18. MG53 Mitigates Nitrogen Mustard-Induced Skin Injury

Author

Li, Haichang, primary, Li, Zhongguang, additional, Li, Xiuchun, additional, Cai, Chuanxi, additional, Zhao, Serena Li, additional, Merritt, Robert E., additional, Zhou, Xinyu, additional, Tan, Tao, additional, Bergdall, Valerie, additional, and Ma, Jianjie, additional

Published
2023
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20. Sustained elevation of MG53 in the bloodstream increases tissue regenerative capacity without compromising metabolic function

Author

Bian, Zehua, Wang, Qiang, Zhou, Xinyu, Tan, Tao, Park, Ki Ho, Kramer, H. Fritz, McDougal, Alan, Laping, Nicholas J., Kumar, Sanjay, Adesanya, T. M. Ayodele, Sermersheim, Matthew, Yi, Frank, Wang, Xinxin, Wu, Junwei, Gumpper, Kristyn, Jiang, Qiwei, He, Duofen, Lin, Pei-Hui, Li, Haichang, Guan, Fangxia, Zhou, Jingsong, Kohr, Mark J., Zeng, Chunyu, Zhu, Hua, and Ma, Jianjie

Published
2019
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22. Metabolomic Insights into the Mechanisms of Ganoderic Acid: Protection against α-Amanitin-Induced Liver Injury.

Author

Zheng, Chong, Lv, Shaofang, Ye, Jianfang, Zou, Lu, Zhu, Kai, Li, Haichang, Dong, Yongxi, and Li, Lei

Subjects
METABOLOMICS, LIVER injuries, AMINO acid metabolism, TRYPTOPHAN, DRUG toxicity, BLOOD serum analysis
Abstract

α-Amanitin is a representative toxin found in the Amanita genus of mushrooms, and the consumption of mushrooms containing α-Amanitin can lead to severe liver damage. In this study, we conduct toxicological experiments to validate the protective effects of Ganoderic acid A against α-amanitin-induced liver damage. By establishing animal models with different durations of Ganoderic acid A treatment and conducting a metabolomic analysis of the serum samples, we further confirmed the differences in serum metabolites between the AMA+GA and AMA groups. The analysis of differential serum metabolites after the Ganoderic acid A intervention suggests that Ganoderic acid A may intervene in α-amanitin-induced liver damage by participating in the regulation of retinol metabolism, tyrosine and tryptophan biosynthesis, fatty acid biosynthesis, sphingosine biosynthesis, spermidine and spermine biosynthesis, and branched-chain amino acid metabolism. This provides initial insights into the protective intervention mechanisms of GA against α-amanitin-induced liver damage and offers new avenues for the development of therapeutic drugs for α-Amanitin poisoning. [ABSTRACT FROM AUTHOR]

Published
2023
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23. The cause analysis of benign uretero-ileal anastomotic stricture after radical cystectomy and urinary diversion

Author

Liu, Zhenghong, primary, Zheng, Bin, additional, Hu, Yuqi, additional, Li, Haichang, additional, Qin, Xiaowen, additional, Hu, Xuanhan, additional, Wang, Shuai, additional, Wang, Heng, additional, Zhang, Pu, additional, Wo, Qijun, additional, Sun, Li, additional, Mou, Yixuan, additional, Liu, Feng, additional, Cui, Jianxin, additional, and Zhang, Dahong, additional

Published
2022
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31. MG53 attenuates nitrogen mustard‐induced acute lung injury

Author

Li, Haichang, primary, Rosas, Lucia, additional, Li, Zhongguang, additional, Bian, Zehua, additional, Li, Xiuchun, additional, Choi, Kyounghan, additional, Cai, Chuanxi, additional, Zhou, Xinyu, additional, Tan, Tao, additional, Bergdall, Valerie, additional, Whitson, Bryan, additional, Davis, Ian, additional, and Ma, Jianjie, additional

Published
2022
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32. Yunpi Qufeng Chushi Formula for Pre-Rheumatoid Arthritis: Study Protocol for a Multiple-Center, Double-Blind, Placebo-Controlled Randomized Controlled Trial

Author

Tang, Yujun, primary, Li, Haichang, additional, Huang, Lin, additional, Wang, Qiao, additional, Han, Yongmei, additional, Wu, Huaxiang, additional, Su, Xiao, additional, Hou, Xiujuan, additional, Huang, Chuanbing, additional, Lin, Changsong, additional, Tao, Qingwen, additional, Tang, Jinyang, additional, Cao, Wei, additional, Xie, Zhijun, additional, and Wen, Chengping, additional

Published
2022
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47. An integrated strategy based on Schiff base reactions to construct unique two-dimensional nanostructures for intrinsic pseudocapacitive sodium/lithium storage

Author

Li Haichang, Ungyu Paik, Guoxin Zhang, Yan He, Zhonghui Sun, Wei Qing, Xu Changmeng, Sun Hongran, Taeseup Song, Wang Xiaojun, Li Huifang, and Liu Zhiming

Subjects
Nanostructure, Materials science, Graphene, General Chemical Engineering, chemistry.chemical_element, General Chemistry, Electrochemistry, Industrial and Manufacturing Engineering, law.invention, chemistry, Chemical engineering, law, Phase (matter), Electrode, Environmental Chemistry, Density functional theory, Lithium, Carbon
Abstract

Combining electrode materials with low-dimensional carbonaceous materials such as graphene is an effective way to improve the electrochemical performance of sodium/lithium-ion batteries (SIBs/LIBs). A common drawback of these recombinant hybrids is the weak interaction between the active component and graphene, resulting in poor structural stability and high resistance to diffusion of Na+/Li+ and electrons diffusing between phase boundaries during charging and discharging, thus leading to capacity decay and low rate capability of these hybrids. Here, a facile integrated construction strategy based on Schiff base reactions is developed to build a nitrogen and sulfur co-doped flexible lotus-leaf-like carbon and FeS nanosheets (FeS@N,S-CNSs). This structure takes full advantage of the high conductivity and mechanical flexibility of carbon nanosheets, and the high theoretical capacity of FeS. Together with the co-doping effects, the nanoscale size of FeS, and the robust connection between the in-situ generated FeS nanocrystals and carbon nanosheets, the FeS@N,S-CNSs outputs excellent electrochemical performance in both of SIBs and LIBs. Impressively, experimental results and Density functional theory (DFT) calculations indicate that the charging/discharging process is essentially dominated by pseudocapacitive behavior, this intrinsic feature gives FeS@N,S-CNSs electrode exceptional rate capability (∼50% capacity retention even at 100 A g−1 in SIBs).

Published
2022

48. Alterations of the gut microbiome in Chinese patients with systemic lupus erythematosus

Author

He, Zhixing, Shao, Tiejuan, Li, Haichang, Xie, Zhijun, and Wen, Chengping

Subjects
Microbiota (Symbiotic organisms) -- Analysis -- Research -- Health aspects, Dysbiosis -- Research, Systemic lupus erythematosus -- Research, Chinese -- Health aspects -- Analysis -- Research, Stomach -- Health aspects -- Research -- Analysis, Health
Abstract

Background Systemic lupus erythematosus (SLE) in patients from Spain is associated with intestinal dysbiosis. This study explores whether the alteration of the gut microbiome in SLE patients from China is consistent with the intestinal dysbiosis of SLE patients from Spain. Results The depletion of Firmicutes and the enrichment of Bacteroidetes in SLE patients from China were consistent with the SLE patients from Spain. Furthermore, we found that nine genera of gut microbiota were SLE-related microorganisms in Chinese subjects. Genera Rhodococcus, Eggerthella, Klebsiella, Prevotella, Eubacterium, Flavonifractor and Incertae sedis were significantly enriched, while genera Dialister and Pseudobutyrivibrio were significantly depleted in SLE patients. Receiver operating characteristic analysis indicated that the nine genera have the potential to distinguish SLE patients from healthy controls. Conclusions Comparing the dysbiosis of the gut microbiome among SLE patients from China or Spain, may indicate that the gut microbiome profiles of SLE patients are more influenced by disease than ethnicity. Keywords: Gut microbiome, Systemic lupus erythematosus, Chinese patients, Illumina Miseq, Genus level, Author(s): Zhixing He[sup.1] , Tiejuan Shao[sup.1] , Haichang Li[sup.1] , Zhijun Xie[sup.1] and Chengping Wen[sup.1] Background The human gut harbors diverse and abundant microbes that benefit us by training the [...]

Published
2016
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