Rong Xu

Neurodynamic two-stage consensus model with dual-track trust propagation network for smart multi-attribute group decision systems

Zhenfeng He, Jinpei Liu, Rong Xu, Longlong Shao

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Fairness consensus adjustment and bifocal expert weight integration in multi-attribute group decision-making with parallel expert evaluation systems

Jinpei Liu, Rong Xu, Wenqing Xu, Longlong Shao

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Tm3+-Based Downshifting Nanoprobes with Enhanced Luminescence at 1680 nm for In Vivo Vascular Growth Monitoring

Rong Xu, Huiqun Cao, Yicheng Yang, Fuhong Han et autres

Optical imaging in the 1500–1700 nm region, known as near-infrared IIb (NIR-IIb), shows potential for noninvasive in vivo detection owing to its ultrahigh tissue penetration depth and spatiotemporal resolution. Rare earth-doped nanoparticles have emerged as widely used NIR-IIb probes because of their …

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In Vivo High-Contrast Biomedical Imaging in the Second Near-Infrared Window Using Ultrabright Rare-Earth Nanoparticles

Rong Xu, Jiantao Liu, Huiqun Cao, Danying Lin et autres

Intravital luminescence imaging in the second near-infrared window (NIR-II) enables noninvasive deep-tissue imaging with high spatiotemporal resolution of live mammals because of the properties of suppressed light scattering and diminished autofluorescence in the long-wavelength region. Herein, we present the synthesis of a …

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[Discussion of Air Quality Forecasting Evaluation for Cities Based on Half-level Method].

Xiaoyan Wang, Rong Xu, Yuxiao Gao, Yuanyuan Zhu et autres

-8h concentration forecasting effects in Beijing and Henan province were relatively the best.

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[Comparison and Analysis of PM2.5 Forecast in Key Areas Based on the Neural Network Model and Numerical Model].

Yuxiao Gao, Wei Wang, Yonghai Huang, Xiaoyan Wang et autres

in the BTH, JASH, and FWP regions, whereas it was poor in the YRD region. In general, the performance of artificial correction was relatively good when forecasting moderate-level days and was close to the BP neural network model when forecasting heavily polluted …

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Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy

Colin Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou et autres

This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy. We use a deep neural network (DNN) to effectively design optical patterns for specimen illumination that substantially improve upon the ability to infer fluorescence image information from unstained …

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Channel Drop Out: A Simple Way to Prevent CNN from Overfitting in Motor Imagery Based BCI

Jing Luo, Yaojie Wang, Rong Xu, Guang‐Ming Liu et autres

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[Assessment of Emergency Emission Reduction Effect During the Heavy Air Pollution Episodes in Beijing, Tianjin, Hebei, and Its Surrounding Area("2+26" Cities) from October to December 2019].

Yuanyuan Zhu, Yuxiao Gao, Wei Wang, Ning Lü et autres

. The regional emergency emission reduction measures have played an active role in protecting the health of the people and improving the quality of ambient air.

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Global Methyl Halide Emissions From Rapeseed ( Brassica napus ) Using Life Cycle Measurements

Yi Jiao, Juanito Jerrold Mariano Acdan, Rong Xu, M. J. Deventer et autres

Abstract Global budgets of methyl halides are not balanced between currently identified sources and sinks. Among biological sources, rapeseed is regarded as the second largest terrestrial source of CH3Br, extrapolated from laboratory‐based incubations and limited field measurements. This study analyzes the CH3Br …

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Physics-enhanced machine learning for virtual fluorescence microscopy

Colin Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou et autres

This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy. Our results show that by including a model of illumination within the first layers of a deep convolutional neural network, it is possible to learn task-specific LED patterns …

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Predictive ability of motion sickness susceptibility questionnaire for seasickness individual difference in Chinese military personnel

Leilei Pan, Ruirui Qi, Shuifeng Xiao, Yuqi Mao et autres

Abstract Background Motion sickness susceptibility questionnaire (MSSQ) has been widely used for assessing individual differences in motion sickness. The present study tried to investigate its efficacy for predicting seasickness susceptible (SUS) and insusceptible (INSUS) subjects among Chinese military personnel. Methods Two cohorts …