Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ziyue Luo"'
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
ObjectiveNumerous observational and retrospective studies have demonstrated an association between Autoimmune Thyroiditis (AIT) and various systemic Autoimmune Diseases (AIDs). However, the causal relationship between them remains uncertain. This stu
Externí odkaz:
https://doaj.org/article/6da59ba4b4664fd784313c59e0980954
Publikováno v:
Molecules, Vol 25, Iss 19, p 4393 (2020)
The repetitive sequence of glutenin plays an important role in dough rheology; however, its interaction with wheat protein disulfide isomerase (wPDI) remains unclear. In this study, the conformations of wild type glutenin repetitive sequence (WRS) fr
Externí odkaz:
https://doaj.org/article/22541b5644ed45e49cc6257ce1daef1d
Autor:
Tian, Tian, Min, Yu, Yang, Yu, Ke, Wang, Panwen, Tian, Ziyue, Luo, Zhenyu, Ding, Ye, Wang, Youling, Gong, Jiang, Zhu, Bingwen, Zou, Terence T, Sio, Adelaide, Alves, Yongmei, Liu, Meijuan, Huang, You, Lu
Publikováno v:
Transl Lung Cancer Res
BACKGROUND: Although immune checkpoint inhibitors (ICIs) provide unprecedented survival improvement for patients with advanced non-small cell lung cancer (NSCLC), disease progression inevitably occurs. After ICIs failure, limited data exist on whethe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a20ec5a8289ad5ab6acfce4d9ddbebf
https://doi.org/10.21037/tlcr-22-376
https://doi.org/10.21037/tlcr-22-376
Publikováno v:
International Journal of Surgery; Mar2024, Vol. 110 Issue 3, p1817-1819, 3p
Publikováno v:
Computer Science & Information Systems; Sep2023, Vol. 20 Issue 4, p1845-1868, 24p
Training Graph Neural Networks (GNN) on large graphs is resource-intensive and time-consuming, mainly due to the large graph data that cannot be fit into the memory of a single machine, but have to be fetched from distributed graph storage and proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af0dc15b51b3cf86bccdba1998605aa6
http://arxiv.org/abs/2204.11224
http://arxiv.org/abs/2204.11224
To train modern large DNN models, pipeline parallelism has recently emerged, which distributes the model across GPUs and enables different devices to process different microbatches in pipeline. Earlier pipeline designs allow multiple versions of mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4bf3c66f5069d21016044b6b0c2d9e3
http://arxiv.org/abs/2204.10562
http://arxiv.org/abs/2204.10562
Publikováno v:
IEEE/ACM Transactions on Networking. 28:1061-1073
Built on top of virtualization technologies, network function virtualization (NFV) provides flexible and scalable software implementation of various network functions. Virtual network functions (VNFs), which are network functions implemented as virtu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28eb3c337e00a1e17e493f37ab815123
https://doi.org/10.1109/tnet.2020.2979263
https://doi.org/10.1109/tnet.2020.2979263
Publikováno v:
Cell Biology and Toxicology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::065cdc02146fe6fc3a727b41a034d0a2
https://doi.org/10.1007/s10565-021-09690-1
https://doi.org/10.1007/s10565-021-09690-1
Publikováno v:
2021 IEEE Real-Time Systems Symposium (RTSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae778e2fc6712b56941d0863445dfb9
https://doi.org/10.1109/rtss52674.2021.00034
https://doi.org/10.1109/rtss52674.2021.00034