Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Tingfeng Li"'
Publikováno v:
BMC Microbiology, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Despite the known influence of continuous cropping on soil microorganisms, little is known about the associated difference in the effects of continuous cropping on the community compositions of soil bacteria and fungi. Here, we assessed soil
Externí odkaz:
https://doaj.org/article/617da97c1004489fac5781f04b91c129
Publikováno v:
IEEE Sensors Journal. 22:4077-4082
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f25d2dc154a7b12675040d9cb0b1dc61
https://doi.org/10.1109/jsen.2022.3142029
https://doi.org/10.1109/jsen.2022.3142029
Publikováno v:
Biomed Opt Express
Lymphatic vessels are structurally similar to blood vessels, and the lymphatic fluid flowing within the lymphatic vessels is distributed throughout the body and plays a vital role in the human immune system. Visualization of the lymphatic vessels is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::330515697ff82c01f43109eeeb3bad16
https://europepmc.org/articles/PMC9664883/
https://europepmc.org/articles/PMC9664883/
Publikováno v:
Optics Letters. 48:1878
To achieve non-invasive and high effective resolution microvascular imaging in vivo, photothermal modulation speckle optical coherence tomography (PMS-OCT) imaging technology is proposed in this Letter to enhance the speckle signal of the bloodstream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dece3b76df2bf72d0514db11f25d2085
https://doi.org/10.1364/ol.486272
https://doi.org/10.1364/ol.486272
Autor:
Jingbo Pi, Lu Li, Yuanyuan Xu, Jingkun Jia, Masayuki Yamamoto, Tingfeng Li, Yongxin Sun, Yongyong Hou, Jingqi Fu, Huihui Wang, Yang Yang, Zhixuan Hong, Zhiyuan Liu
Publikováno v:
Toxicology and Applied Pharmacology. 367:62-70
Arsenic exposure increases the risk of various bone disorders. For instance, chronic exposure to low level arsenic can cause bone resorption by promoting osteoclast differentiation. Osteoclast precursor cells produce hydrogen peroxide after low level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc66a212dcf5b22ece80b1c0b46c520
https://doi.org/10.1016/j.taap.2019.02.003
https://doi.org/10.1016/j.taap.2019.02.003
Publikováno v:
OFC
We demonstrate a new application of fiber-optic-sensing and machine learning techniques for vehicle run-off-road events detection to enhance roadway safety and efficiency. The proposed approach achieves high accuracy in a testbed under various experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4e222fc7240af2667e786bbfa5cc6c
https://doi.org/10.1364/ofc.2021.th1a.26
https://doi.org/10.1364/ofc.2021.th1a.26
Autor:
Yang Yang, Jingbo Pi, Huihui Wang, Jingqi Fu, Zhixuan Hong, Lu Li, Yongyong Hou, Yuanyuan Xu, Masayuki Yamamoto, Jingkun Jia, Yongxin Sun, Zhiyuan Liu, Tingfeng Li
Publikováno v:
Toxicology and Applied Pharmacology. 435:115801
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::774d00cf3b1bf5eeba6d3bf00da06b8d
https://doi.org/10.1016/j.taap.2021.115801
https://doi.org/10.1016/j.taap.2021.115801
Publikováno v:
High Temperature Materials and Processes. 37:987-994
In this paper, a hybrid strategy incorporating finite element computation, artificial neural network (ANN) method and Random Forest (RF) algorithm is proposed for computation of the thermal residual stresses (TRS) in SiC/SiC composites with multi-lay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3725bf66f701a573ecd86fc7415c4b5c
https://doi.org/10.1515/htmp-2017-0126
https://doi.org/10.1515/htmp-2017-0126
Publikováno v:
Journal of Physics: Conference Series. 2010:012185
As a method to achieve containerless processing, the object levitation technique has a broad application prospect in vital research fields. However, the levitation distance of Electromagnetic levitation, near-field acoustic levitation is not far enou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc025e95ee32967c67c9a5a549132080
https://doi.org/10.1088/1742-6596/2010/1/012185
https://doi.org/10.1088/1742-6596/2010/1/012185
Publikováno v:
ICCV
Data augmentation is widely used to increase data variance in training deep neural networks. However, previous methods require either comprehensive domain knowledge or high computational cost. Can we learn data transformation automatically and effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c68bc0ba711677e9c2beb8dba50ae91
https://doi.org/10.1109/iccv.2019.00309
https://doi.org/10.1109/iccv.2019.00309