Highly sensitive temperature sensor based on hollow microsphere for ocean application
G Gu, J Jiang, S Wang, K Liu, Y Zhang… - IEEE Photonics …, 2019 - ieeexplore.ieee.org
A highly sensitive temperature sensor based on hollow microsphere is demonstrated for ocean
temperature measurements. The effect of sensor parameters on temperature sensitivity is …
temperature measurements. The effect of sensor parameters on temperature sensitivity is …
Satellite-detected contrasting responses of canopy structure and leaf physiology to drought
Disentangling drought impacts on plant photosynthesis is crucial for projecting future terrestrial
carbon dynamics. We examined the separate responses of canopy structure and leaf …
carbon dynamics. We examined the separate responses of canopy structure and leaf …
Effective and selective removal of phosphate from wastewater using guanidinium-functionalized polyelectrolyte-modified electrodes in capacitive deionization
… Gu groups, resulting in strong electrostatic and hydrogen-bond interactions with phosphate
ions. The Gu-… Gu-PAH/CNT electrode, the asymmetric cell (Gu-PAH/CNTs//COOH-CNTs) with …
ions. The Gu-… Gu-PAH/CNT electrode, the asymmetric cell (Gu-PAH/CNTs//COOH-CNTs) with …
The role of monocytes and macrophages in autoimmune diseases: a comprehensive review
WT Ma, F Gao, K Gu, DK Chen - Frontiers in immunology, 2019 - frontiersin.org
Monocytes (Mo) and macrophages (Mϕ) are key components of the innate immune system
and are involved in regulation of the initiation, development, and resolution of many …
and are involved in regulation of the initiation, development, and resolution of many …
Tomographic three-dimensional position measurement of particles using a light field camera
Z Jun, G Gaofei, K Ming, G Tiantai… - 2019 14th IEEE …, 2019 - ieeexplore.ieee.org
The tracing particle plays a key role in measuring velocity of flow field. The accuracy of tracing
particle's spatial localization determines the accuracy of flow field velocity measurement. …
particle's spatial localization determines the accuracy of flow field velocity measurement. …
Virtual cluster control for active distribution system using Pinning-based distributed secondary control
W Liu, W Gu, W Sheng, X Song, F Gao - International Journal of Electrical …, 2019 - Elsevier
To facilitate a powerful control for an active distribution system (ADS) with high permeability
distributed generators (DGs), a novel virtual cluster control (VCC) that includes a virtual …
distributed generators (DGs), a novel virtual cluster control (VCC) that includes a virtual …
Link prediction via graph attention network
Link prediction aims to infer missing links or predicting the future ones based on currently
observed partial networks, it is a fundamental problem in network science with tremendous real…
observed partial networks, it is a fundamental problem in network science with tremendous real…
Learning universal network representation via link prediction by graph convolutional neural network
Network representation learning algorithms, which aim at automatically encoding graphs into
low-dimensional vector representations with a variety of node similarity definitions, have a …
low-dimensional vector representations with a variety of node similarity definitions, have a …
[PDF][PDF] Research on the Path of Integrating Party Construction Aesthetics into Ideological and Political Education in Colleges and Universities
J LI, G GU, T MENG, D LIN - Philosophy, 2024 - davidpublisher.com
Party construction aesthetics is a valuable aesthetic resource formed in the practical
exploration of rural revitalization, and it has logical compatibility with ideological and political …
exploration of rural revitalization, and it has logical compatibility with ideological and political …
Discovering latent node Information by graph attention network
In this paper, we propose graph attention based network representation (GANR) which
utilizes the graph attention architecture and takes graph structure as the supervised learning …
utilizes the graph attention architecture and takes graph structure as the supervised learning …