Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Junyang Wang"'
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Objective Mice are routinely utilized as animal models of drug-induced liver injury (DILI), however, there are significant differences in the pathogenesis between mice and humans. This study aimed to compare gene expression between humans an
Externí odkaz:
https://doaj.org/article/60827b5b9e3a4c86b140b79074eabdf6
Autor:
Xuefeng Huang, Qian-Yi Kong, Xiaowen Wan, Yating Huang, Rongrong Wang, Xiaoxue Wang, Yingying Li, Yuqing Wu, Chongyuan Guan, Junyang Wang, Yuanyuan Zhang
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e55194 (2024)
The globe is an organically linked whole, and in the pandemic era, COVID-19 has brought heavy public safety threats and economic costs to humanity as almost all countries began to pay more attention to taking steps to minimize the risk of harm to soc
Externí odkaz:
https://doaj.org/article/608548118b404d35a159b7cd1c0160b2
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Accurate traffic flow prediction information can help traffic managers and drivers make more rational decisions and choices. To make an effective and accurate traffic flow prediction, we need to consider not only the spatio-temporal dependen
Externí odkaz:
https://doaj.org/article/392517aa532a4a0880a10b2fd4a3c54d
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 1049-1059 (2023)
The occurrence of a short-circuit fault in a transformer results in a rapid increase in the short-circuit current, and the temperature of the transformer winding rises rapidly. At present, many scholars use analytical formulas to solve for the averag
Externí odkaz:
https://doaj.org/article/ab653f6388b54e6ca8719a8cc2643132
Publikováno v:
Journal of Natural Fibers, Vol 21, Iss 1 (2024)
In this experiment, a general purpose BP neural network (BP) based on genetic algorithm (GA) was developed for predicting fiber properties. The experiment is based on the breaking force of cotton fibers, and the controlled variable method is used for
Externí odkaz:
https://doaj.org/article/f38348fe858d440f961c0b109136f368
Autor:
Tiancheng Jin, Yitong You, Wenjie Fan, Junyang Wang, Yuhao Chen, Shujing Li, Siyuan Hong, Yaxuan Wang, Ruijie Cao, Junji Yodoi, Hai Tian
Publikováno v:
Antioxidants, Vol 12, Iss 9, p 1701 (2023)
Geranylgeranylacetone (GGA) exerts cytoprotective activity against various toxic stressors via the thioredoxin (TRX) redox system; however, its effect on skin inflammation and molecular mechanism on inducing the TRX of GGA is still unknown. We invest
Externí odkaz:
https://doaj.org/article/f30ac04d8257451e9876d4949c4b4f7b
Autor:
Zhaoyang Liu, Junyang Wang, Zixu Zhao, Qiuyu Yang, Lihang Qin, Kaichen Zhang, Xiangnan Wang, Nan Su, Tianpeng Wen, Lei Yuan, Jingkun Yu
Publikováno v:
Materials, Vol 16, Iss 16, p 5679 (2023)
Al2O3-bonded SiAlON ceramic with self-coating was prepared using aluminum dross and silicon solid waste as starting materials under ambient air conditions. The changes in phase, microstructure, and physical properties of the ceramic with temperature
Externí odkaz:
https://doaj.org/article/ad975b724e394374bf704d63304536e9
Autor:
Han Li, Hanghang Wang, Aiping Yang, Mingzhen Xue, Junyang Wang, Qi Lv, Jian Liu, Lihong Hu, Yinan Zhang, Xiachang Wang
Publikováno v:
Molecules, Vol 28, Iss 14, p 5448 (2023)
Liver fibrosis resulting from chronic liver damage is becoming one of the major threats to health worldwide. Active saponin constituents isolated from Gynostemma pentaphyllum were found to possess a protective effect in liver diseases. Here, we obtai
Externí odkaz:
https://doaj.org/article/d2fc395265354c0caff9e0a4721ae8ee
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The immune system and the tumor have been at each other’s throats for so long that the neoplasm has learned to avoid detection and avoid being attacked, which is called immune evasion. Malignant tumors, such as gastric cancer (GC), share the abilit
Externí odkaz:
https://doaj.org/article/21b8c8b331884fb09450e179a6448bba
Publikováno v:
Sensors, Vol 23, Iss 2, p 841 (2023)
The spatial–temporal prediction of traffic flow is very important for traffic management and planning. The most difficult challenges of traffic flow prediction are the temporal feature extraction and the spatial correlation extraction of nodes. Due
Externí odkaz:
https://doaj.org/article/6a38b8e9e580466da81b651dc1e28d54