Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jinxin Tie"'
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
Natural plant fibers are hierarchical structures with multi-level microstructures. With advances in composite material science, these fibers have been widely used in various polymer products. Therefore, it is crucial to quantitatively understand the
Externí odkaz:
https://doaj.org/article/5ef2560f859d4a10b563f6a7b722fa3e
Autor:
Jinxin Tie, Shitou Li, Wenmiao He, Yongsheng Li, Fu Liao, Jingjing Xue, Bing Bai, Jing Yang, Jizhong Wu
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32417- (2024)
In order to comprehend the dissimilarities in tobacco quality between Canada and Yunnan, a comparison of the aroma components was conducted using GC-MS and HPLC analysis, coupled with orthogonal partial least squares discriminant analysis (OPLS-DA).
Externí odkaz:
https://doaj.org/article/f86867037f074ebabbf32677912a0658
Publikováno v:
Frontiers in Materials, Vol 11 (2024)
The shrinkage characteristic of porous materials is an important consideration in the drying process, as it can significantly impact the texture of the dried product and energy utilization. This phenomenon is influenced by numerous factors, including
Externí odkaz:
https://doaj.org/article/e52b49872fff41cb99b3255674167f3d
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
A wide variety of abundant plant leaves exist in nature, and the wettability of their surfaces is formed to adapt to diverse external environments. In this paper we will focus on the factors influencing the wettability of various plant leaves prevale
Externí odkaz:
https://doaj.org/article/ff331f56013d4bc09875cdc44261e56a
Autor:
Huanchao Shen, Yingrui Geng, Hongfei Ni, Hui Wang, Jizhong Wu, Xianwei Hao, Jinxin Tie, Yingjie Luo, Tengfei Xu, Yong Chen, Xuesong Liu
Publikováno v:
RSC Advances. 12:32641-32651
With the development of near-infrared (NIR) spectroscopy, various calibration transfer algorithms have been proposed, but such algorithms are often based on the same distribution of samples. In machine learning, calibration transfer between types of
Autor:
Qingsong Zhang, Yibo He, Meng Shu, Weizheng Zhang, Daojian Yang, Jinhua Song, Guanhua Li, Yanan Zheng, Yang Yang, Jinxin Tie, Jie Li, Meng Li
Publikováno v:
Mathematical Problems in Engineering.
As the most popular renewable energy, solar energy could be converted into electricity by photovoltaic (PV) systems directly. To maximize the effectiveness of the conversion, it is critical to find the precise and accurate parameters of the PV model.