Zobrazeno 1 - 10
of 1 525
pro vyhledávání: '"Xi Le"'
Influence of pH on the Formation of Benzyl Ester Bonds between Dehydrogenation Polymer and Cellulose
Autor:
Wenhao Liu, Xi Le, Junjun Chen, Junxian Xie, Junjian An, Guangyan Zhang, Nianjie Feng, Peng Wang, Yimin Xie
Publikováno v:
BioResources, Vol 19, Iss 3, Pp 4238-4249 (2024)
Generation of lignin-carbohydrate complex (LCC) between dehydrogenation polymer (DHP) and pulp fibers may have an important impact on the properties of pulp. In this work, the benzyl ester-type LCC was formed between oxidized cellulose and DHP. The e
Externí odkaz:
https://doaj.org/article/260986c79a5e426bb01bacca021f8702
Autor:
Peng Wang, Xu Zhang, Xi Le, Junjun Chen, Guangyan Zhang, Junjian An, Nianjie Feng, Junxian Xie
Publikováno v:
Molecules, Vol 29, Iss 21, p 5166 (2024)
A thorough understanding of the lignin–carbohydrate complex (LCC) structure has a significant meaning in the high-value utilization of lignocellulose. In this work, the complex (DHPKGC) was obtained by an addition reaction between konjac glucomanna
Externí odkaz:
https://doaj.org/article/1fe8178093894c1d9c27351354a23d1a
Autor:
Yaqi Zhang, Xi Le, Shuo Zheng, Ke Zhang, Jing He, Mengting Liu, Chengshu Tu, Wei Rao, Hongyuan Du, Yu Ouyang, Changyong Li, Dongcheng Wu
Publikováno v:
Stem Cell Research & Therapy, Vol 13, Iss 1, Pp 1-16 (2022)
Abstract Background Diabetic nephropathy (DN) is a severe complication of diabetes mellitus and a common cause of end-stage renal disease (ESRD). Mesenchymal stem cells (MSCs) possess potent anti-inflammatory and immunomodulatory properties, which re
Externí odkaz:
https://doaj.org/article/42857515bf344fae910116ba8854f3f4
Recently, the transform-based tensor representation has attracted increasing attention in multimedia data (e.g., images and videos) recovery problems, which consists of two indispensable components, i.e., transform and characterization. Previously, t
Externí odkaz:
http://arxiv.org/abs/2407.05267
Autor:
Zhi Chang Liu, Zi Wei Wang, Song Gao, Yu Xing Tong, Xi Le, Nian Wu Hu, Qun Shan Yan, Xian Gang Zhou, Yan Rong He, Lei Wang
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
The value-added utilization of tobacco stalk lignin is the key to the development of tobacco stalk resources. However, the serious heterogeneity is the bottleneck for making full use of tobacco stalk lignin. Based on this, lignin was separated from t
Externí odkaz:
https://doaj.org/article/6a616477f81240389c3176bbe987ec0c
This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements. Traditional approaches tackling such a problem require the computation of tensor Singular Value
Externí odkaz:
http://arxiv.org/abs/2401.11940
Publikováno v:
BioResources, Vol 11, Iss 4, Pp 10213-10225 (2016)
Corn stalk is one of the most abundant agricultural residues in China. In this experiment, corn stalks were hot-pressed to prepare formalin-free particleboard. Milled wood lignin (MWL) samples were isolated from original and hot-pressed corn stalks.
Externí odkaz:
https://doaj.org/article/8b7b96c54d4948c58f16547ac909658d
Autor:
Zheng, Yu-Bang, Zhao, Xi-Le, Zeng, Junhua, Li, Chao, Zhao, Qibin, Li, Heng-Chao, Huang, Ting-Zhu
Tensor network (TN) representation is a powerful technique for computer vision and machine learning. TN structure search (TN-SS) aims to search for a customized structure to achieve a compact representation, which is a challenging NP-hard problem. Re
Externí odkaz:
http://arxiv.org/abs/2305.14912
The block-term tensor decomposition model with multilinear rank-$(L_r,L_r,1)$ terms (or, the "LL1 tensor decomposition" in short) offers a valuable alternative for hyperspectral unmixing (HU) under the linear mixture model. Particularly, the LL1 deco
Externí odkaz:
http://arxiv.org/abs/2205.03798
Modern time series datasets are often high-dimensional, incomplete/sparse, and nonstationary. These properties hinder the development of scalable and efficient solutions for time series forecasting and analysis. To address these challenges, we propos
Externí odkaz:
http://arxiv.org/abs/2203.10651