Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Jiming Gu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract There are many factors that affect the compressive strength of concrete. The relationship between compressive strength and these factors is a complex nonlinear problem. Empirical formulas commonly used to predict the compressive strength of
Externí odkaz:
https://doaj.org/article/cf3705b2c22f4164ba49f9fcf55fa879
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In order to improve the accuracy of concrete dynamic principal identification, a concrete dynamic principal identification model based on Improved Dung Beetle Algorithm (IDBO) optimized Long Short-Term Memory (LSTM) network is proposed. Firs
Externí odkaz:
https://doaj.org/article/fbf5dcfbadc646e7a1766db810e3f618
Publikováno v:
PLoS ONE, Vol 19, Iss 11, p e0312496 (2024)
A novel magnetorheological vibration isolator with two operating conditions, horizontal shear and vertical compression, was designed and manufactured. The rheological properties of the energy-dissipating material were directly related to the volume f
Externí odkaz:
https://doaj.org/article/0fc5b7bd48594a31a8a621174c540557
Publikováno v:
Colloid and Polymer Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed6c5f36a01d973ca5c025a5ec26c9e
https://doi.org/10.1007/s00396-023-05087-0
https://doi.org/10.1007/s00396-023-05087-0
Autor:
Chengjia Qian, Changyong Zhao, Qizhong Gao, Jiming Gu, Weifeng Han, Hui Jiang, Liugen Jin, Xiaowei Qi, Bojian Fei, Huiming Tu
Background Gastric cancer (GC) is a highly malignant disease for which the development of novel biomarkers and therapeutic targets is urgently required. Decreased expression of Osteoglycin (OGN) has been observed in the progression of a variety of hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd873f84c23705d50e27f76b5dc67be1
https://doi.org/10.21203/rs.3.rs-775886/v1
https://doi.org/10.21203/rs.3.rs-775886/v1
Publikováno v:
2021 IEEE Sustainable Power and Energy Conference (iSPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::316d0b82c1c4039a6828a5d3017ace68
https://doi.org/10.1109/ispec53008.2021.9735505
https://doi.org/10.1109/ispec53008.2021.9735505
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 354:527-567
This paper aims at investigating fracture behavior of single and multiple cracks in two-dimensional solids by an adaptive extended isogeometric analysis (XIGA) based on locally refined (LR) B-splines. The adaptive XIGA is capable of modeling cracks w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e03fc4d21164a43bdcd0bef43ee1e2b
https://doi.org/10.1016/j.cma.2019.05.045
https://doi.org/10.1016/j.cma.2019.05.045
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 339:704-738
We present an effective adaptive analysis procedure in terms of isogeometric analysis (IGA) based on locally refined (LR) B-splines for two-dimensional elasticity problems. One major advantage of the adopted LR B-splines over B-splines and non-unifor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9fd7261e863d2cdb273c78913d72546
https://doi.org/10.1016/j.cma.2018.04.013
https://doi.org/10.1016/j.cma.2018.04.013
Publikováno v:
Finite Elements in Analysis and Design. 148:48-66
In this paper, we present an effective computational approach that combines an adaptive extended isogeometric analysis (XIGA) method with locally refined (LR) B-splines and level set methods for modeling multiple inclusions in two-dimensional (2D) el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45580eba72fa58d5ccd08b55571d982
https://doi.org/10.1016/j.finel.2018.05.003
https://doi.org/10.1016/j.finel.2018.05.003
Publikováno v:
Molecular Medicine Reports
Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwide. The present study was designed to construct a Support Vector Machine (SVM) classifier and risk score system for GC. The {"type":"entrez-geo","attrs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cd4ed33a12214420ea681c6bb1ee0df
https://doi.org/10.3892/mmr.2019.10841
https://doi.org/10.3892/mmr.2019.10841