Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Yujing, Ma"'
Autor:
Meng, Li, Qi, Zhao, Shuchang, Lyu, Chunlei, Wang, Yujing, Ma, Guangliang, Cheng, Chenguang, Yang
Recognizing and grasping novel-category objects remains a crucial yet challenging problem in real-world robotic applications. Despite its significance, limited research has been conducted in this specific domain. To address this, we seamlessly propos
Externí odkaz:
http://arxiv.org/abs/2407.13175
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
ObjectiveTo investigate the ability of ultrasomics to noninvasively predict epidermal growth factor receptor (EGFR) expression status in patients with hepatocellular carcinoma (HCC).Methods198 HCC patients were comprised in the study (n = 138 in the
Externí odkaz:
https://doaj.org/article/e47cacff1e4044a686919f145a6cfd35
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 2, Pp 246-251 (2024)
Objective To explore the composition of symptom clusters in the acute phase of patients with hypertensive cerebral haemorrhage and to analyse their correlation with prognostic quality of life. Methods From July 2021 to June 2022, 396 patients with hy
Externí odkaz:
https://doaj.org/article/1f10aeb2af5c466380ec797cb95fd2af
Publikováno v:
Energies, Vol 17, Iss 20, p 5210 (2024)
A length-scale insensitive degradation function is applied to extend the cracks during hydraulic fracturing under stress boundary conditions in this study. The phase field method is an effective modeling technique that has great potential for use in
Externí odkaz:
https://doaj.org/article/7f5d6d5fe40e498bb501cbae3f18764d
Autor:
Shiwei Ruan, Hong Cao, Shangrong Wu, Yujing Ma, Wenjuan Li, Yong Jin, Hui Deng, Guipeng Chen, Wenbin Wu, Peng Yang
Publikováno v:
Plant Phenomics, Vol 6 (2024)
To address the underestimation of rape yield by traditional gramineous crop yield simulation methods based on crop models, this study used the WOFOST crop model to estimate rape yield in the main producing areas of southern Hunan based on 2 years of
Externí odkaz:
https://doaj.org/article/826f0bee348a4fa988daf2bf8be515e2
Publikováno v:
Shock and Vibration, Vol 2024 (2024)
This study proposes an uncertainty quantification method based on deep neural networks and Catmull–Clark subdivision surfaces for vibroacoustic problems. The deep neural networks are utilized as a surrogate model to efficiently generate samples for
Externí odkaz:
https://doaj.org/article/65e11c9df0394a85b9d9d4c0950ae006
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1397 (2024)
To better promote the research and development of regional crop yield simulations, we review related research on regional crop yield simulations over the past ten years, summarize the research progress on regional crop yield simulations at home and a
Externí odkaz:
https://doaj.org/article/11939fa84cf9458c92e8d41977eaa083
Autor:
Yujing Ma
Publikováno v:
Círculo de Lingüística Aplicada a la Comunicación, Vol 94 (2023)
La investigación sobre el paisaje lingüístico urbano se ha extendido por todo el mundo con distintos enfoques y desde diversas perspectivas. En el presente trabajo se expone una breve introducción sobre el desarrollo de la teoría del paisaje lin
Externí odkaz:
https://doaj.org/article/2856abc0465e4533a37cf48e252093c9
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
An efficient method of moments (MoM) based on polynomial chaos expansion (PCE) is applied to quickly calculate the electromagnetic scattering problems. The triangle basic functions are used to discretize the surface integral equations. The polynomial
Externí odkaz:
https://doaj.org/article/4ba2719566b94c95853e601480ca6574
Autor:
Xiuxia Luo, Quanrong Ge, Jin Su, Ning Zhou, Ping Li, Xu Xiao, Yan Chen, Dong Wang, Yujing Ma, Li Ma, Yongsheng Zhu
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
ObjectivesEchocardiographic global myocardial work (GMW) indices recently emerged to non-invasively evaluate left ventricular (LV) myocardial performance with less load-dependence than LV ejection fraction (LVEF) or global longitudinal strain (GLS).
Externí odkaz:
https://doaj.org/article/a7eae00b825f4b739abe84e542db58b2