Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Xiaoxu GUO"'
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 12, Pp 193-200 (2023)
The two must be separated first to exploit the eggshell and the eggshell membranes. In this paper, a combination of mechanical crushing, water flotation and dilute acid treatment was used for shell membrane separation, and the conditions of eggshell
Externí odkaz:
https://doaj.org/article/06d500d58b05465991f29321d9d7b92c
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background Tree-structured neural networks have shown promise in extracting lexical representations of sentence syntactic structures, particularly in the detection of event triggers using recursive neural networks. Methods In this study, we
Externí odkaz:
https://doaj.org/article/1cbfe6d0261e4711b33a9f3a86e8d8f3
Autor:
Xiaoxu Guo, Yue Zhang
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Enterprises with diverse life cycles possess distinct survival and operational laws. Hence, it is crucial to comprehend whether all these enterprises can proficiently engage in green innovation under the guidance of carbon emissions trading (CET). Th
Externí odkaz:
https://doaj.org/article/0e814c96458d4c24b68f50ba4cb59617
Autor:
Shichao Lin, Kun Yin, Yingkun Zhang, Fanghe Lin, Xiaoyong Chen, Xi Zeng, Xiaoxu Guo, Huimin Zhang, Jia Song, Chaoyong Yang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Gene expression of cells is a heterogeneous and dynamic program involved in various biological processes. Here, authors develop Well-TEMPseq, a high-throughput, cost-effective, and accurate method for massively parallel profiling of the temporal dyna
Externí odkaz:
https://doaj.org/article/ac745a62d21a42319cba8404d555c374
Publikováno v:
Artery Research, Vol 29, Iss 1, Pp 16-23 (2023)
Abstract Objectives There is evidence that pulse wave velocity (PWV) can predict the occurrence of abdominal aortic calcification (AAC), while the association between estimated PWV (ePWV) and AAC has not been reported, so our study aimed to analyze t
Externí odkaz:
https://doaj.org/article/06668ff9dc9746faa56062fb6cdae7e8
Autor:
Xiaoxu Guo, Fanghe Lin, Chuanyou Yi, Juan Song, Di Sun, Li Lin, Zhixing Zhong, Zhaorun Wu, Xiaoyu Wang, Yingkun Zhang, Jin Li, Huimin Zhang, Feng Liu, Chaoyong Yang, Jia Song
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Liquid biopsy offers great promise for noninvasive cancer diagnostics, while the lack of adequate target characterization and analysis hinders its wide application. Here, the authors design a transfer learning-based algorithm to transfer lesion label
Externí odkaz:
https://doaj.org/article/cde7d2bf2dc34fd6b03b27209d9c01b0
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2023)
BackgroundAlthough hemoglobin A1c (HbA1c) is closely related to diabetes, its relationship with the incidence of hypertension is still unknown, so we aimed to evaluate the relationship between HbA1c and the incidence of hypertension in the general po
Externí odkaz:
https://doaj.org/article/94cc41f57c2b4657a6d21fc6c85c2d80
Autor:
Hengfei Cheng, Zhaobin Xu, Xiaoxu Guo, Jia Yang, Kedi Xu, Shuqin Liu, Zhonghe Jin, Xiaojun Jin
Publikováno v:
Future Internet, Vol 14, Iss 7, p 207 (2022)
Low-orbit micro-satellite technology has developed rapidly in recent years due to its advantages of low time delay, low cost and short research period. However, among the existing inter-satellite routing algorithms, the classical flooding and greedy
Externí odkaz:
https://doaj.org/article/82b55145f72e495aa07789816ff4e52a
Publikováno v:
Chinese Journal of Population Resources & Environment (KeAi Communications Co.); Mar2024, Vol. 22 Issue 1, p48-57, 10p
Background The tree-structured neural network can deeply extract lexical representations of sentence syntactic structure. Some studies have utilized Recursive Neural Network to detect event triggers. Methods We incorporate the attention mechanism int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::250db5bb50d1a854bfab00c6f6955f47
https://doi.org/10.21203/rs.3.rs-2572039/v1
https://doi.org/10.21203/rs.3.rs-2572039/v1