Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Jiaru Zhang"'
Autor:
Han Hu, Feng Yu, Song Zhang, Jing Yin, Haiyan Zhang, Jiaru Zhang, Xiaonan Zhang, Miaoyan Cao, Shahzad Murtaza
Publikováno v:
Metals, Vol 14, Iss 8, p 847 (2024)
To address the challenges posed by the complex shapes of hollow parts, this study examined the ultrasonic-assisted granular medium hydroforming (UGMF) process for tubular components. The dynamics of the deformation behavior and deformation control du
Externí odkaz:
https://doaj.org/article/fccf7a4dedf6423995e6e998c42f241b
Autor:
Vien Trinh, Kai Xu, Hao Yu, Nam Ha, Yihong Hu, Muhammad Waqas Khan, Rui Ou, Yange Luan, Jiaru Zhang, Qijie Ma, Guanghui Ren, Jian Zhen Ou
Publikováno v:
Chemosensors, Vol 12, Iss 6, p 108 (2024)
Graphene oxide (GO) nanosheets, as one of the most studied graphene derivatives, have demonstrated an intrinsically strong physisorption-based gas–matter behavior, owing to its enhanced volume–surface ratio and abundant surface functional groups.
Externí odkaz:
https://doaj.org/article/9ae0892f72ce4c2a86d050cd8871e9aa
Autor:
Qunchao Ma, Jinyun Zhu, Pingping Zheng, Jiaru Zhang, Xiangyang Xia, Yun Zhao, Qingqiang Cheng, Ning Zhang
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24052- (2024)
Aims: Atrial fibrillation/atrial flutter (AF/AFL) is a critical public health issue worldwide, and its epidemiological patterns have changed over the decades. This work aimed to assess the global trends of AF/AFL and attributable risks from 1990 to 2
Externí odkaz:
https://doaj.org/article/63dc7ff7279b4e0eac95649222b960f5
Autor:
Nam Ha, Kai Xu, Yinfen Cheng, Rui Ou, Qijie Ma, Yihong Hu, Vien Trinh, Guanghui Ren, Jiaru Zhang, Jian Zhen Ou
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 1, Pp n/a-n/a (2024)
Abstract Metal oxysulfides are an emerging group of sensitive materials for high‐performance NO2 sensing owing to their room‐temperature operation capacity, excellent selectivity of NO2, the part‐per‐billion‐leveled limit of detection, as w
Externí odkaz:
https://doaj.org/article/20f99922de4b4831853f2970af8b381f
Publikováno v:
Journal of Nanobiotechnology, Vol 20, Iss 1, Pp 1-17 (2022)
Abstract The failure of orthopedic and dental implants is mainly caused by biomaterial-associated infections and poor osseointegration. Surface modification of biomedical materials plays a significant role in enhancing osseointegration and anti-bacte
Externí odkaz:
https://doaj.org/article/0de5d7e9f5b44a1e8ba6a7c6e8a7ac54
Autor:
Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang, Yunxiang Chu
Publikováno v:
Agriculture, Vol 13, Iss 1, p 175 (2023)
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CN
Externí odkaz:
https://doaj.org/article/5600fa5382164aaaa11e0ee57059fe9e
Autor:
Nam Ha, Kai Xu, Yinfen Cheng, Rui Ou, Qijie Ma, Yihong Hu, Vien Trinh, Guanghui Ren, Hao Yu, Lei Zhang, Xiang Liu, Jiaru Zhang, Zhong Li, Jian Zhen Ou
Publikováno v:
Chemosensors, Vol 10, Iss 9, p 372 (2022)
Two-dimensional (2D) or ultrathin metal sulfides have been emerging candidates in developing high-performance gas sensors given their physisorption-dominated interaction with target gas molecules. Their oxysulfide derivatives, as intermediates betwee
Externí odkaz:
https://doaj.org/article/a29472678cf94d89867ea8dd185e74cd
Publikováno v:
Engineering, Vol 4, Iss 6, Pp 822-830 (2018)
Metallic biomaterials are increasingly being used in various medical applications due to their high strength, fracture resistance, good electrical conductivity, and biocompatibility. However, their practical applications have been largely limited due
Externí odkaz:
https://doaj.org/article/f2b36f37d76844ecbab8bcaefba09d12
Publikováno v:
Nanomaterials, Vol 9, Iss 7, p 916 (2019)
The integration of surface-enhanced Raman scattering (SERS) and surface-enhanced fluorescence (SEF) has attracted increasing interest and is highly probable to improve the sensitivity and reproducibility of spectroscopic investigations in biomedical
Externí odkaz:
https://doaj.org/article/bf449105fdc64cb3bbfc23ed798fec01
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:10110-10117
Bayesian neural networks (BNNs) have drawn extensive interest due to the unique probabilistic representation framework. However, Bayesian neural networks have limited publicized deployments because of the relatively poor model performance in real-wor