Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Xin Chun li"'
Publikováno v:
Kaohsiung Journal of Medical Sciences, Vol 38, Iss 11, Pp 1048-1059 (2022)
Abstract Endometrial cancer (EC) is a kind of gynecologic malignancy with a rising incidence rate. This study aimed to explore the role of VPS9D1 antisense RNA1 (VPS9D1‐AS1) in EC. The expression of VPS9D1‐AS1, microRNA (miR)‐377‐3p, and seru
Externí odkaz:
https://doaj.org/article/57d1c524f5fa4273b28c27377435b97d
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 14, Iss 1, Pp 1-10 (2019)
Abstract Background In lumbar spinal stenosis (LSS), at most times, several levels are impaired and selecting the correct level remains a common problem for surgeons, as surgery remains invasive, and extended laminectomy may lead to secondary surgica
Externí odkaz:
https://doaj.org/article/fd446098982848c58c1b06bb45323472
Publikováno v:
Neural Regeneration Research, Vol 10, Iss 11, Pp 1860-1864 (2015)
Lumbosacral degenerative disc disease is a common cause of lower back and leg pain. Conventional T1-weighted imaging (T1WI) and T2-weighted imaging (T2WI) scans are commonly used to image spinal cord degeneration. However, these modalities are unable
Externí odkaz:
https://doaj.org/article/8075e450b65f4bf8aa544101d82e4b12
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:10682-10690
Training a model with limited data is an essential task for machine learning and visual recognition. Few-shot learning approaches meta-learn a task-level inductive bias from SEEN class few-shot tasks, and the meta-model is expected to facilitate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1449f0542b77715eed9accf86a533986
https://doi.org/10.1609/aaai.v35i12.17277
https://doi.org/10.1609/aaai.v35i12.17277
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ab2b89b6dde7dc34a85459ef2ac75d5
https://doi.org/10.1109/icassp43922.2022.9746890
https://doi.org/10.1109/icassp43922.2022.9746890
Autor:
Si-Yuan, Hu, Yao, Zhou, Sen-Jie, Zhong, Meng, Yang, Shu-Min, Huang, Lin, Li, Xin-Chun, Li, Zhi-Xi, Hu
Publikováno v:
Chinese journal of integrative medicine.
To study effects of Shenmai Injection on hypertensive heart failure and its mechanism for inhibiting myocardial fibrosis.Salt-sensitive (Dahl/SS) rats were fed with normal diet (0.3% NaCl) and the high-salt diet (8% NaCl) to observe the changes in bl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::75dde11874c1ef475c5627723fa9d2a9
https://pubmed.ncbi.nlm.nih.gov/35840852
https://pubmed.ncbi.nlm.nih.gov/35840852
Publikováno v:
Mobile Information Systems.
Consumers’ learning styles influence their attitudes toward advertisements and, in turn, their purchase intention. In particular, learning styles differ in terms of visual attention when viewing static objects. However, despite the increasing popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9eb1dbda38a1d60ac1c9a9bb157c68c
Autor:
Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan
Federated Learning (FL) fuses collaborative models from local nodes without centralizing users' data. The permutation invariance property of neural networks and the non-i.i.d. data across clients make the locally updated parameters imprecisely aligne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b53353d067200f5a575ba39688a188
Autor:
De-Chuan Zhan, Xin-Chun Li
Publikováno v:
KDD
Federated Learning (FL) aims to generate a global shared model via collaborating decentralized clients with privacy considerations. Unlike standard distributed optimization, FL takes multiple optimization steps on local clients and then aggregates th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b16d844be314874bc35cec8b3f3246
https://doi.org/10.1145/3447548.3467254
https://doi.org/10.1145/3447548.3467254
Publikováno v:
Journal of Cleaner Production. 228:264-275
Inter-industrial carbon linkage analysis tells us about the transfer of CO2 amongst sectors of a nation. Hypothetical extraction model which removes a target sector and compares the difference between actual and theoretical economies is a popular mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b16dfab348e9249c2cb1da8cf14434cd
https://doi.org/10.1016/j.jclepro.2019.04.234
https://doi.org/10.1016/j.jclepro.2019.04.234