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Implantable Ultrasound‐Powered MXene/PVA Hydrogel‐Based Generator for Treatment of Glioblastoma
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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective
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Modeling of wave-induced drift based on stepwise parameter calibration
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Adults with reading difficulties demonstrate selective impairments in the fine neural tuning for print
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The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges
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Amygdalin Promotes Fracture Healing through TGF-β/Smad Signaling in Mesenchymal Stem Cells
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Study of forecasting urban private car volumes based on multi-source heterogeneous data fusion
Published 2021-03-01“…By effectively capturing the spatio-temporal characteristics of urban private car travel, a multi-source heterogeneous data fusion model for private car volume prediction was proposed.Firstly, private car trajectory and area-of-interest data were integrated.Secondly, the spatio-temporal correlations between private car travel and urban areas were modeled through multi-view spatio-temporal graphs, the multi-graph convolution-attention network (MGC-AN) was proposed to extract the spatio-temporal characteristics of private car travel.Finally, the spatio-temporal characteristics and external characteristics such as weather were integrated for joint prediction.Experiments were conducted on real datasets, which were collected in Changsha and Shenzhen.The experimental results show that, compared with the existing prediction model, the root mean square error of the MGC-AN is reduced 11.3%~20.3%, and the average absolute percentage error is reduced 10.8%~36.1%.…”
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MicroRNA-451a is a candidate biomarker and therapeutic target for major depressive disorder
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Real-time predication and navigation on traffic congestion model with equilibrium Markov chain
Published 2018-04-01“…Accordingly, by dividing the real-time Global Positioning System data of taxis in Shenzhen city into 50 regions, the equilibrium Markov chain model was designed for dispatching vehicles and applied to ease the city congestion. …”
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