Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Yuyang Cong"'
Autor:
Xi Chen, Zuoqi Wang, Chaowei Zhang, Jingheng Hu, Yueqi Lu, Hang Zhou, Yang Mei, Yuyang Cong, Fangyuan Guo, Yaqin Wang, Kang He, Ying Liu, Fei Li
Publikováno v:
BMC Biology, Vol 21, Iss 1, Pp 1-18 (2023)
Abstract Background Lepidoptera is one of the most species-rich animal groups, with substantial karyotype variations among species due to chromosomal rearrangements. Knowledge of the evolutionary patterns of lepidopteran chromosomes still needs to be
Externí odkaz:
https://doaj.org/article/68cb8ced20694f5daae5d610504451b5
Autor:
Yuyang Cong, Yang Liu, Yurong Tang, Jiale Ma, Jiaxin Ma, Zhuoyang Liu, Xirui Yang, Hong Zhang
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4137 (2024)
This study focuses on mitigating the decrease in the quality of mulberry after harvest and increasing the value of mulberry products through microwave vacuum drying. The effects of mulberry moisture content on texture properties were investigated, an
Externí odkaz:
https://doaj.org/article/9ace10792770445e99b5c1a4e71952c7
Publikováno v:
Cell Death and Disease, Vol 13, Iss 6, Pp 1-13 (2022)
Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most refractory malignancies and has a poor prognosis. In recent years, increasing evidence has shown that an imbalance of metabolism may contribute to unrestricted pancreatic tumour prog
Externí odkaz:
https://doaj.org/article/bdb409a2be44420e821811b0755ff9d6
Publikováno v:
Agriculture, Vol 13, Iss 9, p 1843 (2023)
It is easy to cause increases in temperature and the gasification of water in materials, facilitated via supercharging and the generation of instantaneous strong pressure under the collaborative action of a microwave and a vacuum, thus facilitating t
Externí odkaz:
https://doaj.org/article/c2d78f4e899d4a169991869dcb4c5764
Publikováno v:
iScience, Vol 25, Iss 9, Pp 104873- (2022)
Summary: Genome size (GS) can vary considerably between phylogenetically close species, but the landscape of GS changes in insects remain largely unclear. To better understand the specific evolutionary factors that determine GS in insects, we examine
Externí odkaz:
https://doaj.org/article/80ca47ac12984929812707842aba4514
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:4041-4056
Intelligent fault diagnosis of bearings is an essential issue in the field of health management and the prediction of rotating machinery systems. The traditional bearing intelligent diagnosis algorithms based on the combination of feature extraction
Autor:
Yuyang Cong, Xinhai Ye, Tang Shenyang, Mengyao Chen, Dong Jing, Haonan Duanmu, Hao Chen, Xi Chen, Kang He, Yang Mei, Fei Li, Hang Zhou
Publikováno v:
Nucleic Acids Research
Insects are the largest group of animals on the planet and have a huge impact on human life by providing resources, transmitting diseases, and damaging agricultural crop production. Recently, a large amount of insect genome and gene data has been gen
Autor:
Xinchi Ma, Zhuang Liu, Yaotian Zhang, Xue Zeng, Shichen Sun, Zilan Qin, Hong Guo, Chaonan Sun, Ning Han, Linlin Wei, Na Zhang, Yuyang Cong
Purpose: This study aimed to investigate the effects of 3D-printed Bolus or conventional Bolus on the dosimetric distribution of target area, dose of organs at risk (OARs) and body surface dose in patients with radiotherapy after radical breast cance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a5b2b4fd73cac447c5a8958be1eb3f
https://doi.org/10.21203/rs.3.rs-346981/v1
https://doi.org/10.21203/rs.3.rs-346981/v1
A Bearing Fault Diagnosis Method Based on L1 Regularization Transfer Learning and LSTM Deep Learning
Publikováno v:
2021 IEEE International Conference on Information Communication and Software Engineering (ICICSE).
In the practical application of rail transit, it is difficult to obtain bearing fault data and the training data of fault diagnosis model is insufficient, which leads to the low accuracy and generalization ability of fault diagnosis model. In this pa
Publikováno v:
Measurement Science and Technology. 33:025005
The prediction accuracy of bearing remaining useful life (RUL) is not high due to the unreasonable stage division of bearing performance degradation and the blindness of feature selection. In order to solve this problem, RUL prediction for rolling be