Zobrazeno 1 - 10
of 854
pro vyhledávání: '"Yunxia, Wang"'
Autor:
Yuanyuan Wang, Jiyuan Chen, Luyao Gong, Yunxia Wang, Aino Siltari, Yan-Ru Lou, Teemu J. Murtola, Shen Gao, Yuan Gao
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-19 (2024)
Abstract Resistance to androgen receptor (AR) inhibitors, including enzalutamide (Enz), as well as bone metastasis, are major challenges for castration-resistant prostate cancer (CRPC) treatment. In this study, we identified that miR26a can restore E
Externí odkaz:
https://doaj.org/article/d27180e3a2634eff9bbb371e72a61484
Autor:
Xiaoyu Ma, Cheng Zhang, Sainan Zhu, Yunxia Wang, Xiaoyu Yang, Jiping Liao, Chunbo Zhang, Kunyan Sun, Guangfa Wang
Publikováno v:
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Background No studies have investigated whether high-sensitivity C reactive protein (hsCRP) can be used to predict the forced expiratory volume in 1 s (FEV1)/estimated value of FEV1 (FEV1%pred). This study aimed to assess the association between hsCR
Externí odkaz:
https://doaj.org/article/ef6f29f4853d4f87b0d17791c6486024
Publikováno v:
Journal of Diabetes, Vol 16, Iss 6, Pp n/a-n/a (2024)
Abstract Background Diabetic nephropathy (DN) is a diabetic complication. LncRNAs are reported to participate in the pathophysiology of DN. Here, the function and mechanism of lncRNA small nucleolar RNA host gene 14 (SNHG14) in DN were explored. Meth
Externí odkaz:
https://doaj.org/article/f4c303bdba414466b29425d4f6db09b5
Publikováno v:
Stress and Brain, Vol 3, Iss 3, Pp 109-122 (2023)
Background:Depressive disorder is a common disease characterized by depressed mood and loss of pleasure, which often brings a great grief to patients and a huge burden to the society. Currently, the therapeutic strategy has made a rapid progress, but
Externí odkaz:
https://doaj.org/article/b668915e08684adcb24a2fce9fe76064
Publikováno v:
Agronomy, Vol 14, Iss 9, p 2096 (2024)
In view of issues affecting manual on-demand sowing of spinach, such as high working intensity, low seeding efficiency, and high cost, a mechanized precision seeding device for spinach seeds is proposed, based on a spoon-wheel including a combined ce
Externí odkaz:
https://doaj.org/article/02bd25e8401a453ba0069df193264ee1
Autor:
Jing Zhou, Xuan Yu, Qingxia Wu, Yaping Wu, Cong Fu, Yunxia Wang, Menglu Hai, Hongna Tan, Meiyun Wang
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28722- (2024)
Purpose: To investigate the potential of radiomics signatures (RSs) from intratumoral and peritumoral regions on multiparametric magnetic resonance imaging (MRI) to noninvasively evaluate HER2 status in breast cancer. Method: In this retrospective st
Externí odkaz:
https://doaj.org/article/97536f8b1ff2480f818158b83d646618
Autor:
Yunxia Wang, Yiyan Shang, Yaxin Guo, Menglu Hai, Yang Gao, Qingxia Wu, Shunian Li, Jun Liao, Xiaojuan Sun, Yaping Wu, Meiyun Wang, Hongna Tan
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveTo investigate the value of predicting axillary lymph node (ALN) metastasis based on intratumoral and peritumoral dynamic contrast-enhanced MRI (DCE-MRI) radiomics and clinico-radiological characteristics in breast cancer.MethodsA total of 4
Externí odkaz:
https://doaj.org/article/b59645cb3025493e8f08db041d052708
Publikováno v:
Agronomy, Vol 14, Iss 5, p 1043 (2024)
The intelligent control of precision planting can detect and regulate the operation quality of the planter in real time, which plays an important role in improving the operation quality of the planter and the yield of the corn. In this paper, the con
Externí odkaz:
https://doaj.org/article/b65e8ae753b044af988d8998333e30b9
Publikováno v:
Asian Agricultural Research. Apr2024, Vol. 16 Issue 4, p27-32. 6p.
Autor:
Yunxia Wang
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0309001 (2024)
To analyze English discourse more accurately and provide more detailed feedback information, this study applies Rasch measurement and Conditional Random Field (CRF) models to English discourse analysis. The Rasch measurement model is widely used to e
Externí odkaz:
https://doaj.org/article/bee2380a4f7244afb00dcf7be6129dcb