Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Lianjie Zhou"'
Autor:
Lianjie Zhou, Zhongyuan Wu, Mubai Sun, Jaejin Park, Mengdi Han, Ming Wang, Junsheng Yu, Zengfeng Di, Yongfeng Mei, Wubin Bai, Xinge Yu, Ki Jun Yu, Enming Song
Publikováno v:
Brain-X, Vol 1, Iss 4, Pp n/a-n/a (2023)
Abstract Advanced technologies that can establish intimate, long‐lived functional interfaces with neural systems have attracted increasing interest due to their wide‐ranging applications in neuroscience, bioelectronic medicine, and the associated
Externí odkaz:
https://doaj.org/article/c11eb643a70d4c2abf2af2257be7c2b7
Autor:
Kichitaro Nakajima, Keiichi Yamaguchi, Masahiro Noji, César Aguirre, Kensuke Ikenaka, Hideki Mochizuki, Lianjie Zhou, Hirotsugu Ogi, Toru Ito, Ichiei Narita, Fumitake Gejyo, Hironobu Naiki, Suguru Yamamoto, Yuji Goto
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Amyloid fibrils of β2-microglobulin (β2m) can cause dialysis-related amyloidosis. Here, the authors show that a decrease in serum albumin levels in long-term dialysis deteriorates the inhibitory effects of serum milieux on supersaturation-limited a
Externí odkaz:
https://doaj.org/article/d80ffdffa03b47a68ce0fdd216dda884
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
The relationships between ecosystem services and farmers’ livelihoods are important for ecological and livelihood sustainability. In this paper, Chongqing was picked up as a case to elucidate the contribution of ecosystem services to farmers’ liv
Externí odkaz:
https://doaj.org/article/8fa94ca0da914f698dcd2d8b771a8487
Publikováno v:
IEEE Access, Vol 8, Pp 52452-52465 (2020)
Daily trajectory data scale of vehicle monitoring networks in smart cities is growing rapidly, reaching daily volumes of 1 billion. Accessing hyper massive spatiotemporal trajectory data (HMSTD) in transport, the Internet of Things, or other fields i
Externí odkaz:
https://doaj.org/article/b7d813c556024e3680afde576c24087c
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6511 (2022)
Nowadays, large-scale human mobility has led to increasingly severe traffic congestion in cities, how to accurately identify people’s travel mode has become particularly important for urban traffic planning and management. However, traditional meth
Externí odkaz:
https://doaj.org/article/10253643dc284e6d84064c9ad497fef8
Publikováno v:
Remote Sensing, Vol 7, Iss 8, Pp 9610-9631 (2015)
Remote sensing plays an important role in flood mapping and is helping advance flood monitoring and management. Multi-scale flood mapping is necessary for dividing floods into several stages for comprehensive management. However, existing data system
Externí odkaz:
https://doaj.org/article/2080e85982c046208a67466d5eaa0fcf
Publikováno v:
Sensors, Vol 17, Iss 4, p 815 (2017)
The efficient data access of streaming vehicle data is the foundation of analyzing, using and mining vehicle data in smart cities, which is an approach to understand traffic environments. However, the number of vehicles in urban cities has grown rapi
Externí odkaz:
https://doaj.org/article/c240804cf6914cdd95108e4f8fbf3540
Publikováno v:
Sensors, Vol 16, Iss 11, p 1813 (2016)
The efficient sharing of spatio-temporal trajectory data is important to understand traffic congestion in mass data. However, the data volumes of bus networks in urban cities are growing rapidly, reaching daily volumes of one hundred million datapoin
Externí odkaz:
https://doaj.org/article/4b9c28cae2a64ecab014f6b1b755522f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 5, Iss 6, p 81 (2016)
Comprehensive surface soil moisture (SM) monitoring is a vital task in precision agriculture applications. SM monitoring includes remote sensing imagery monitoring and in situ sensor-based observational monitoring. Cloud computing can increase comput
Externí odkaz:
https://doaj.org/article/01285681eaaa4c648c444467b2ac88d9
Autor:
Lianjie Zhou, Guoqiang Li, Jingru Yao, Jing Wang, Xiyao Yao, Zhikai Ye, Dongtian Zheng, Kena Song, Hongfei Zhang, Xianquan Zhang, Jianwei Shua, Fangfu Ye, Ming Li, Yufeng Li, Guo Chen, Yuyan Cheng, He Liu, Shaw, Peter, Liyu Liu
Publikováno v:
Lab on a Chip; 6/7/2024, Vol. 24 Issue 11, p2999-3014, 16p