Zobrazeno 1 - 10
of 1 100
pro vyhledávání: '"WANG Jiawen"'
Publikováno v:
Guangxi Zhiwu, Vol 44, Iss 2, Pp 216-234 (2024)
Drought and land salinization are inhibiting factors for the sustainable development of forestry, and the plants will release volatile substances such as terpenoids during biological or non-biological stress. The 1-hydroxy-2-methyl-2-(E)-buteny-4-pyr
Externí odkaz:
https://doaj.org/article/ce39fccae3414dd7bd6cb72400871724
Autor:
Chen Lin, Sun Ye, Wang Jiawen, Ma Chao, Peng Shuyi, Cao Xingyu, Yang Lang, Ma Chunxin, Duan Gaigai, Liu Zhenzhong, Wang Hui, Yuan Yihui, Wang Ning
Publikováno v:
e-Polymers, Vol 22, Iss 1, Pp 468-477 (2022)
Although diverse uranium (U) adsorbents have been explored, it is still a great challenge for high-efficient uranium extraction form seawater. Herein a wood-mimetic oriented porous Ti3C2Tx-MXene/gelatin hydrogel (MGH) has been explored through growin
Externí odkaz:
https://doaj.org/article/818018cfca96457188a8824d434fb3a9
Autor:
Wang Jiawen, Sun Ye, Zhao Xuemei, Chen Lin, Peng Shuyi, Ma Chunxin, Duan Gaigai, Liu Zhenzhong, Wang Hui, Yuan Yihui, Wang Ning
Publikováno v:
e-Polymers, Vol 22, Iss 1, Pp 399-410 (2022)
Although metal–organic frameworks (MOFs) own excellent uranium adsorption capacity but are still difficult to conveniently extract uranium from seawater due to the discrete powder state. In this study, a new MOF-based macroporous membrane has been
Externí odkaz:
https://doaj.org/article/dd0ddf96948a4ddabd4eaa6f36b78132
Publikováno v:
矿业科学学报, Vol 6, Iss 6, Pp 711-720 (2021)
To achieve the intelligent recognition of coal gangue in fully mechanized caving face, a coal caving acoustic signal collection device is designed, which can sense the movement of the tail beam and automatically trigger data collection.Field data is
Externí odkaz:
https://doaj.org/article/19bdfcd3bdcd4a9793ff602e17450902
Climate change (CC) has attracted increasing attention in NLP in recent years. However, detecting the stance on CC in multimodal data is understudied and remains challenging due to a lack of reliable datasets. To improve the understanding of public o
Externí odkaz:
http://arxiv.org/abs/2409.18346
Autor:
Wang, Jiawen, Luo, Dingsheng
When your robot grasps an object using dexterous hands or grippers, it should understand the Task-Oriented Affordances of the Object(TOAO), as different tasks often require attention to specific parts of the object. To address this challenge, we prop
Externí odkaz:
http://arxiv.org/abs/2409.11941
Mobile manipulation typically entails the base for mobility, the arm for accurate manipulation, and the camera for perception. It is necessary to follow the principle of Distant Mobility, Close Grasping(DMCG) in holistic control. We propose Embodied
Externí odkaz:
http://arxiv.org/abs/2409.08527
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 4, Pp 80-87 (2021)
【Background】 Along with drought, soil salinization is one of the most important abiotic stresses facing agricultural production in arid and semi-arid regions like Xinjiang in northwest China. Saline soil is estimated to have reached 11 million hm
Externí odkaz:
https://doaj.org/article/1c3be22b5d244a5fb50ca868a77bc652
Purpose: This study aims to propose and investigate the feasibility of using Kolmogorov-Arnold Network (KAN) for CEST MRI data analysis (CEST-KAN). Methods: CEST MRI data were acquired from twelve healthy volunteers at 3T. Data from ten subjects were
Externí odkaz:
http://arxiv.org/abs/2406.16026
Autor:
Wang, Jiawen, Kawka, Leah
Deep convolutional neural networks have been shown to successfully recognize facial emotions for the past years in the realm of computer vision. However, the existing detection approaches are not always reliable or explainable, we here propose our mo
Externí odkaz:
http://arxiv.org/abs/2402.15662