Zobrazeno 1 - 10
of 369
pro vyhledávání: '"XiaoHong Qian"'
Autor:
Pengyun Li, Xiaotong Hu, Zhiya Fan, Shiyang Sun, Qijie Ran, Ting Wei, Pengli Wei, Qiyu Jiang, Jian Yan, Ning Yang, Changkai Jia, Tingting Yang, Yaqiu Mao, Xu Cai, Tingting Xu, Zhiyuan Zhao, Xiaohong Qian, Weijie Qin, Xiaomei Zhuang, Feng Fan, Junhai Xiao, Zhibing Zheng, Song Li
Publikováno v:
Journal of Hematology & Oncology, Vol 17, Iss 1, Pp 1-30 (2024)
Abstract Background Targeted protein degradation of neosubstrates plays a crucial role in hematological cancer treatment involving immunomodulatory imide drugs (IMiDs) therapy. Nevertheless, the persistence of inevitable drug resistance and hematolog
Externí odkaz:
https://doaj.org/article/53485170677d439b9bf56471960e9a2e
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Objective To observe the long-term effects of total hysterectomy on urinary function, evaluate the effects of preoperative nutritional status, urinary occult infection, and surgical factors on the induction of postoperative stress urinary in
Externí odkaz:
https://doaj.org/article/0ecbdb52ee5a4c2f83c07b8f956d9f8b
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The key role of RNA-binding proteins (RBPs) in posttranscriptional regulation of gene expression is intimately tied to their subcellular localization. Here, we show a subcellular-specific RNA labeling method for efficient enrichment and deep
Externí odkaz:
https://doaj.org/article/f10b6e247fdb4672a24e7c998a01355a
Autor:
Yaru Wang, Bo Meng, Xijun Wang, Anke Wu, Xiaoyu Li, Xiaohong Qian, Jianxiong Wu, Wantao Ying, Ting Xiao, Weiqi Rong
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-13 (2023)
Abstract Background Microvascular invasion (MVI) is the main factor affecting the prognosis of patients with hepatocellular carcinoma (HCC). The aim of this study was to identify accurate diagnostic biomarkers from urinary protein signatures for preo
Externí odkaz:
https://doaj.org/article/7aebcddbc7c0492285c2925dd6878c2f
Publikováno v:
IEEE Access, Vol 11, Pp 131073-131080 (2023)
Identifying defects at different scales is a challenge in industrial defect detection. To solve this problem, many multi-scale feature fusion networks have been proposed to improve multi-scale target detection accuracy by fusing fine-grained informat
Externí odkaz:
https://doaj.org/article/1f4c9daf8db84648a5eac1c3a5a5080d
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-12 (2022)
Measurement(s) Proteome of hepatocellular carcinoma cell lines Technology Type(s) Liquid chromatography-tandem mass spectrometry Sample Characteristic - Organism Homo sapiens
Externí odkaz:
https://doaj.org/article/663df4abe1b2450991ef2852968f2a54
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) protein expression profiling Technology Type(s) Mass Spectrometry
Externí odkaz:
https://doaj.org/article/b1b641180fcd4b288de4d3bb9ebc3617
Autor:
Xinling Cui, Wei Mi, Zhishang Hu, Xiaoyu Li, Bo Meng, Xinyuan Zhao, Xiaohong Qian, Tao Zhu, Wantao Ying
Publikováno v:
Journal of Pharmaceutical Analysis, Vol 12, Iss 1, Pp 156-163 (2022)
Posttranslational modifications of antibody products affect their stability, charge distribution, and drug activity and are thus a critical quality attribute. The comprehensive mapping of antibody modifications and different charge isomers (CIs) is o
Externí odkaz:
https://doaj.org/article/3685318cbcc647468416c06c404b2772
Publikováno v:
IEEE Access, Vol 10, Pp 130339-130349 (2022)
The detection of defects is indispensable in industrial production. Surface defects have different scales. Both minimal flaws and significant scratches may appear on the same product. The standard method uses a multi-scale feature fusion network, int
Externí odkaz:
https://doaj.org/article/0ffbf9e98e964807b54ca7d2326ab91f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103087- (2022)
Although significant progress has been made in scene classification of high-resolution remote-sensing images (HRRSIs), dual-modal HRRSI scene classification is still an active and challenging issue. In this study, we introduce an end-to-end dense-att
Externí odkaz:
https://doaj.org/article/009811ec0f5e48bcb30570a3a6097261