Zobrazeno 1 - 10
of 2 533
pro vyhledávání: '"MA Qin"'
Publikováno v:
Jixie chuandong, Vol 48, Pp 28-38 (2024)
The omni-directional mobile manipulator robot (OMMR) is a class of a new robot with activating operating capability, which is composed of one or more manipulators mounted on a mobile platform. However, after the manipulator is installed on the mobile
Externí odkaz:
https://doaj.org/article/2ad5aacf53904b78b50d37ea3d13754f
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 23, Iss 8, Pp 709-715 (2023)
Objective To investigate the therapeutic effect of pulsed electromagnetic fields (PEMFs) on primary insomnia. Methods A total of 120 patients with primary insomnia admitted to the The First Hospital of Hebei Medical University from January to Decembe
Externí odkaz:
https://doaj.org/article/8afe07fb998348ff832c36b96b59f975
Autor:
MA Qin, JIANG Lincheng
Publikováno v:
陆军军医大学学报, Vol 45, Iss 15, Pp 1612-1620 (2023)
Objective To investigate the effect of taurocholic acid (TLCA) regulating palmitic acid (PA)-induced macrophage polarization on hepatocyte lipid metabolism. Methods Mouse mononuclear macrophage (RAW264.7) cells, treated with TLCA and PA, were divided
Externí odkaz:
https://doaj.org/article/ed39ba84f0ec419e92038ef816297e49
Publikováno v:
Discussiones Mathematicae Graph Theory, Vol 41, Iss 2, Pp 559-587 (2021)
Let G be a 4-connected graph. We call an edge e of G removable if the following sequence of operations results in a 4-connected graph: delete e from G; if there are vertices with degree 3 in G− e, then for each (of the at most two) such vertex x, d
Externí odkaz:
https://doaj.org/article/2346abb95c0d456a99f80f82f10def10
Autor:
Ding, Henghui, Hong, Lingyi, Liu, Chang, Xu, Ning, Yang, Linjie, Fan, Yuchen, Miao, Deshui, Gu, Yameng, Li, Xin, He, Zhenyu, Wang, Yaowei, Yang, Ming-Hsuan, Chai, Jinming, Ma, Qin, Zhang, Junpei, Jiao, Licheng, Liu, Fang, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Liu, Xu, Li, LingLing, Fang, Hao, Pan, Feiyu, Lu, Xiankai, Zhang, Wei, Cong, Runmin, Tran, Tuyen, Cao, Bin, Zhang, Yisi, Wang, Hanyi, He, Xingjian, Liu, Jing
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction
Externí odkaz:
http://arxiv.org/abs/2409.05847
Video object segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this technical report, we briefly introduce the solution of our team "yuanjie" for
Externí odkaz:
http://arxiv.org/abs/2408.13582
This study proposes a method based on lightweight convolutional neural networks (CNN) and generative adversarial networks (GAN) for apple ripeness and damage level detection tasks. Initially, a lightweight CNN model is designed by optimizing the mode
Externí odkaz:
http://arxiv.org/abs/2310.09347
Autor:
Lobentanzer, Sebastian, Feng, Shaohong, Consortium, The BioChatter, Maier, Andreas, Wang, Cankun, Baumbach, Jan, Krehl, Nils, Ma, Qin, Saez-Rodriguez, Julio
Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously posing significant challenges and risk of misuse. To facilitate interfaci
Externí odkaz:
http://arxiv.org/abs/2305.06488
Publikováno v:
Plant Physiology, kiae049, 2024
Automated stomata detection and measuring are vital for understanding plant physiological performance and ecological functioning in global water and carbon cycles. Current methods are laborious, time-consuming, prone to bias, and limited in scale. We
Externí odkaz:
http://arxiv.org/abs/2304.10450
Autor:
Jin, Jun-Jie, Wu, Xue-Bing, Fu, Yuming, Yao, Su, Ai, Yan-Li, Feng, Xiao-Tong, He, Zi-Qi, Ma, Qin-Chun, Pang, Yu-Xuan, Zhu, Rui, Zhang, Yan-xia, Yuan, Hai-long, Huo, Zhi-ying
We report the fourth installment in the series of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey, which includes quasars observed between September, 2017 and June, 2021. There are in total 13,066 quasars reliably
Externí odkaz:
http://arxiv.org/abs/2212.12876