Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jingya Chen"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 17, Pp 21-29 (2024)
To investigate the effects of epigallocatechin-3-gallate-bovine bone protein (EGCG-BBP) on the protein structure and storage oxidative stability of emulsified meat products, the effects of adding different concentrations of EGCG-BBP on the physicoche
Externí odkaz:
https://doaj.org/article/d3a6a23e6aed4c9ca66b0063f2a67a87
Autor:
Yingying Cao, Wei Zhang, Xiaorong Wang, Xiaojing Lv, Yaping Zhang, Kai Guo, Shuai Ren, Yuan Li, Zhongqiu Wang, Jingya Chen
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32940- (2024)
Objectives: This study aimed to develop and validate a radiomics nomogram based on multiparameter MRI for preoperative differentiation of type II and type I endometrial carcinoma (EC). Methods: A total of 403 EC patients from two centers were retrosp
Externí odkaz:
https://doaj.org/article/d483fd3f590147a49e4ec9b757a5b2f4
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract This study adopted a 256-slice iCT scanner with the double low-dose mode in left atrial-pulmonary venous computed tomography angiography (CTA) and explored its effect on image quality. 120 patients were included and randomly classified into
Externí odkaz:
https://doaj.org/article/8c4999e63b964620addbe2337add1aed
Autor:
Bin Li, Jingya Chen
Publikováno v:
IEEE Access, Vol 11, Pp 23495-23504 (2023)
As the scale of the power system continues to expand and the energy situation changes dramatically, the existing automatic generation control (AGC) strategy needs to be optimized and improved. The current grid AGC mainly adopts closed-loop PI control
Externí odkaz:
https://doaj.org/article/e6c56dc97bf446d1ace34b6d289aaf63
Autor:
Shangyu Chai, Ruya Zhang, Richard David Carr, Carolyn F. Deacon, Yiman Zheng, Swapnil Rajpathak, Jingya Chen, Miao Yu
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
AimsGlucose-dependent insulinotropic polypeptide (GIP) confers a variety of metabolic benefits in type 2 diabetes mellitus (T2DM). This meta-analysis was conducted to investigate the impact of dipeptidyl peptidase 4 (DPP4) inhibitors on GIP levels in
Externí odkaz:
https://doaj.org/article/c5d6fcb6c29c4a16a44ab5511b0fe22d
Autor:
Jingya Chen, Hailei Gu, Yu zhang, Weimin Fan, Shuai Chen, Yajing Wang, Ting Wu, Wenwei Tang, Zhongqiu Wang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Currently, there are no effective approaches for differentiating ovarian fibrothecoma (OF) from broad ligament myoma (BLM). This retrospective study aimed to construct a nomogram prediction model based on MRI to differentiate OF from BLM. Th
Externí odkaz:
https://doaj.org/article/438d54c0a7ca4d7bbdc44715f91d67e9
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 248, Iss , Pp 114289- (2022)
Graphene oxide (GO) exposure may cause damage to C. elegans. However, the role of autophagy and its interactive effect with oxidative response in GO toxicity still remain largely unclear. In the present study, we investigated the protective role of a
Externí odkaz:
https://doaj.org/article/48d648897a884a809afc2ee2d3a42f7a
Autor:
Youpeng Fan, Jialing Bao, Xiaoyu Fu, Pengfei Wu, Jingya Chen, Yan Huang, Junhong Wei, Guoqing Pan, Chunfeng Li, Zeyang Zhou
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 4 (2022)
ABSTRACT Baculovirus is a powerful tool for biological control in agriculture and foreign gene expression and delivery in insect and mammalian cells. Baculovirus enters host cells by multiple endocytic pathways; however, the current understanding of
Externí odkaz:
https://doaj.org/article/a4487aa82ca34178879a29bda20b77f0
Publikováno v:
Results in Physics, Vol 37, Iss , Pp 105571- (2022)
A switchable and tunable reflective terahertz (THz) polarization converter based on graphene metamaterial is designed and analyzed. By changing the Fermi energy level of graphene, the converter can achieve broadband linear polarization conversion (LP
Externí odkaz:
https://doaj.org/article/1fcd39b0ba334904902cae39d64fe1c4
Publikováno v:
IEEE Access, Vol 9, Pp 50994-51004 (2021)
Numerous studies employ multi-scale decomposition to improve the prediction performance of neural networks, but the grounds for selecting the decomposition algorithm are not explained, and the effects of decomposition algorithms on other performance
Externí odkaz:
https://doaj.org/article/8c42f2a4178140de9610a2850b5b0300