Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ziqiao Guan"'
Autor:
Lin Cheng, Yuhang Zhang, Man Lv, Wei Huang, Kunyu Zhang, Ziqiao Guan, Xirui Feng, Yanmei Yang, Yanhui Gao, Xiaona Liu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 285, Iss , Pp 117016- (2024)
Arsenic is a widespread environmental contaminant known to accumulate in the brain, leading to cognitive impairment. However, the exact mechanisms by which arsenic causes cognitive deficits remain unclear. The present study aims to discover whether t
Externí odkaz:
https://doaj.org/article/eaa52c656df9497cb96daefdcb993ea8
Autor:
Kunyu Zhang, Yunyi Yin, Man Lv, Xin Zhang, Meichen Zhang, Jia Cui, Ziqiao Guan, Xiaona Liu, Yang Liu, Yanhui Gao, Yanmei Yang
Publikováno v:
Toxics, Vol 12, Iss 1, p 83 (2024)
Limited studies have demonstrated that inorganic arsenic exposure is positively associated with serum vitamin D levels, although the correlation between urinary arsenic species and serum vitamin D has not been investigated in areas of water-borne ars
Externí odkaz:
https://doaj.org/article/dfe912d85a084a9e988d2f4358745687
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b499fd38b77c4adcd0af63c0e93c551
https://doi.org/10.1109/wacv51458.2022.00018
https://doi.org/10.1109/wacv51458.2022.00018
Publikováno v:
Computer Aided Geometric Design. 72:111-125
Feature and saliency analyses are crucial for various graphics applications. The key idea is to automatically compute and recommend the salient or outstanding regions of concerned models. However, there is no universally-applicable criterion for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3db56c8c5df33182d525771ba5a8f4be
https://doi.org/10.1016/j.cagd.2019.04.020
https://doi.org/10.1016/j.cagd.2019.04.020
Publikováno v:
WACV
Today convolutional neural networks (CNNs) have reached out to specialized applications in science communities that otherwise would not be adequately tackled. In this paper, we systematically study a multi-label annotation problem of x-ray scattering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996e6a31d57138a84b94eadb8c4f5751
https://doi.org/10.1109/wacv45572.2020.9093311
https://doi.org/10.1109/wacv45572.2020.9093311
Autor:
Jiliang Liu, Hong Qin, Dantong Yu, Jinzhen Wang, Nicole Meister, Bo Sun, Ziqiao Guan, Kevin G. Yager, Julien Lhermitte, Ronald Lashley
Publikováno v:
2017 New York Scientific Data Summit (NYSDS).
X-ray scattering is a key technique in modern synchrotron facilities towards material analysis and discovery via structural characterization at the molecular scale and nano-scale. Image classification and tagging play a crucial role in recognizing pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b289c2268fa72a8e5fe9ddd0f525e858
https://doi.org/10.1109/nysds.2017.8085045
https://doi.org/10.1109/nysds.2017.8085045
Publikováno v:
2016 New York Scientific Data Summit (NYSDS).
The National Synchrotron Light Source II (NSLS-II) at Brookhaven National Laboratory (BNL) is now providing some of the world's brightest x-ray beams. A suite of imaging and diffraction methods, exploiting megapixel detectors with kilohertz frame-rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8b49f580a9a456b80303e9d9ea6a223
https://doi.org/10.1109/nysds.2016.7747813
https://doi.org/10.1109/nysds.2016.7747813