Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Xiaoning Jia"'
Publikováno v:
Water Science and Technology, Vol 89, Iss 5, Pp 1401-1417 (2024)
In this study, the mesoporous material NCNT was prepared by treating carbon nanotubes (CNT) with hydrazine and subsequently loaded with Cu-Fe layered double hydroxide (CuFeLDH) to create a multiphase catalyst (CuFeLDH-NCNT). Its application as a mult
Externí odkaz:
https://doaj.org/article/7abc3d193e1b465bbc1eea86dc54e34c
Autor:
Wen Z. Yang, Hengchang Xie, Xiaosa Du, Qian Zhou, Yan Xiao, Zhengdong Zhao, Xiaoning Jia, Jianhui Xu, Wen Zhang, Shuang Cai, Zhangjie Li, Xin Fu, Rong Hua, Junhao Cai, Shuang Chang, Jing Sun, Hongbin Sun, Qingqing Xu, Xinyan Ni, Hongqing Tu, Ruimao Zheng, Xiaohong Xu, Hong Wang, Yu Fu, Liming Wang, Xi Li, Haitao Yang, Qiyuan Yao, Tian Yu, Qiwei Shen, Wei L. Shen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Thermal homeostasis is vital for mammals and is controlled by brain neurocircuits. Yet, the neural pathways responsible for cold defense regulation are still unclear. Here, we found that a pathway from the lateral parabrachial nucleus (LPB)
Externí odkaz:
https://doaj.org/article/f5bdff405dbb4eb691d7608784cd2695
Publikováno v:
IEEE Access, Vol 11, Pp 16042-16055 (2023)
The goal of blind text image deblurring is to obtain a clean text image from the given blurry text image without knowing the blur kernel. Sparsity-based methods have been shown their effectiveness in various blind text image deblurring models. Howeve
Externí odkaz:
https://doaj.org/article/dee62f38143c422fb859663ab9b86c7a
Publikováno v:
IEEE Access, Vol 11, Pp 11923-11933 (2023)
Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning methods. Based on traditional image processing te
Externí odkaz:
https://doaj.org/article/ccb137e00c384f67a9b55e0b208dc5c4
Publikováno v:
Water Science and Technology, Vol 86, Iss 11, Pp 2999-3013 (2022)
A composite catalyst nZVI/Co/N-CNT was prepared by loading nano-zero-valent iron-cobalt bimetals on porous materials (N-CNT) by a liquid-phase reduction method. Transmission electron microscopy (TEM), X-ray diffraction (XRD) and the X-ray electron sp
Externí odkaz:
https://doaj.org/article/2fd3f382ac9a4a69b003f6d4479a6df7
Publikováno v:
Sensors, Vol 21, Iss 16, p 5347 (2021)
In this paper, we present a fully integrated Non-dispersive Infrared (NDIR) CO2 sensor implemented on a silicon chip. The sensor is based on an integrating cylinder with access waveguides. A mid-IR LED is used as the optical source, and two mid-IR ph
Externí odkaz:
https://doaj.org/article/3d635c2954ee42999af7581d48660db2
Autor:
Min Liu, Lin Fu, Xiaoning Jia, Jin Wang, Xiaoqian Yang, Bin Xia, Ting Li, Fahui Li, Shoudong Guo
Publikováno v:
Data in Brief, Vol 25, Iss , Pp - (2019)
The data presented in this article describe characteristics of the polysaccharides, designated as CM1 and CMS, isolated from the fruiting body of C. militaris. Fourier transform infrared spectrometry analysis was used to identify the basic characteri
Externí odkaz:
https://doaj.org/article/566c5f2cdc05435e849ff665a3d2640a
Publikováno v:
Sensors, Vol 19, Iss 19, p 4260 (2019)
In this paper, we propose a novel, miniaturized non-dispersive infrared (NDIR) CO2 sensor implemented on a silicon chip. The sensor has a simple structure, consisting of a hollow metallic cylindrical cavity along with access waveguides. A detailed an
Externí odkaz:
https://doaj.org/article/669afaf87c494217901bc3a53d9c57d4
Publikováno v:
Reaction Chemistry & Engineering; May2024, Vol. 9 Issue 5, p1127-1139, 13p
Publikováno v:
Process Safety and Environmental Protection. 171:794-802