Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Yanyan, Lu"'
Autor:
Chuanlin Zhou, Chunhong Li, Zhenfeng Deng, Xuexin Yan, Li Feng, Zhen Yang, Yanyan Lu, Yinglong Shi, Ke Wang, Jing Luo, Jinliang Kong
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction Alveolar echinococcosis (AE), caused by the larval forms of Echinococcus multilocularis, is a zoonotic disease affecting the liver, lungs, lymph nodes, kidneys, brain, bones, thyroid, and other organs. Diagnosing AE in a non-end
Externí odkaz:
https://doaj.org/article/eec1e232bb314bb280c28b137bfb68f8
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 21, Pp 2679-2684 (2024)
A large number of studies have confirmed that endoplasmic reticulum stress (ERS) is closely related to the development and progression of liver diseases, but the mechanism of the association between ERS and liver disease progression has not been clar
Externí odkaz:
https://doaj.org/article/5ba3688d86e24e38a414b9000bf1a2d3
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34920- (2024)
Background and aim: Insulin-like growth factor-1 may be involved in the epithelial-to-mesenchymal transition process. It can mitigate adverse effects when interacting with insulin-like growth factor binding protein 3. This study aimed to explore alte
Externí odkaz:
https://doaj.org/article/12bf3499712349629d489a047d7df260
Autor:
Huaixuan Sheng, Huizhu Li, Shunyao Li, Chengxuan Yu, Yueming Wang, Haichen Hu, Lu Fang, Fuchun Chen, Yanyan Lu, Xiaogang Xu, Xing Yang, Shiyi Chen, Yuefeng Hao, Yunxia Li, Sijia Feng, Jun Chen
Publikováno v:
Bioengineering & Translational Medicine, Vol 9, Iss 4, Pp n/a-n/a (2024)
Abstract Determining the precise course of bacterial infection requires abundant in vivo real‐time data. Synchronous monitoring of the bacterial load, temperature, and immune response can satisfy the shortage of real‐time in vivo data. Here, we c
Externí odkaz:
https://doaj.org/article/f677f777fab947599cecf1b142ed0fb5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5774-5789 (2024)
Remote sensing images play a critical role in urban planning, land resources, and environmental monitoring. Land cover classification is one of the straightforward applications of remote sensing. However, the anomalous remote sensing data challenges
Externí odkaz:
https://doaj.org/article/c2dcd8d2205a4b8d81a177a2f0fae608
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Paclitaxel, a tubulin-binding agent, is a Food and Drug Administration-approved first-line drug for the treatment of non-small cell lung cancer (NSCLC), for both squamous and non-squamous cell lung carcinoma, with paclitaxel/carbo
Externí odkaz:
https://doaj.org/article/1b10cbb94e4940c48fa7a18b676210e6
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/e24ef747e8f04dd3b817b5df8cdee502
Autor:
Yening Zhang, Ling Luo, Xueming Xu, Jianfeng Wu, Fupeng Wang, Yanyan Lu, Ningjie Zhang, Yingying Ding, Ben Lu, Kai Zhao
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Full activation of the NLRP3 inflammasome needs two sequential signals: a priming signal, followed by a second, assembly signal. Several studies have shown that the two signals trigger post-translational modification (PTM) of NLRP3, affectin
Externí odkaz:
https://doaj.org/article/d40e729192aa44b5b3bf016771f1326a
Autor:
Wenjun Wang, Xuesong Li, Kun Zeng, Yanyan Lu, Boyuan Jia, Jianxia Lv, Chenghao Wu, Xinyu Wang, Xinshuo Zhang, Zhen Zhang
Publikováno v:
Sensors, Vol 24, Iss 7, p 2325 (2024)
Conventional spherical nucleic acid enzymes (SNAzymes), made with gold nanoparticle (AuNPs) cores and DNA shells, are widely applied in bioanalysis owing to their excellent physicochemical properties. Albeit important, the crowded catalytic units (su
Externí odkaz:
https://doaj.org/article/b399211a0ce84f7c946f1db4d45755e7
Publikováno v:
Earth and Space Science, Vol 10, Iss 11, Pp n/a-n/a (2023)
Abstract The reconstruction models of hourly 10‐m wind speeds were developed for each of 2384 stations over China using stepwise regression, random forest and XGBoost machine learning approaches based on hourly observed and ERA5 reanalysis data fro
Externí odkaz:
https://doaj.org/article/e58a9042eedb4efaa1f232cba61c381b