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| 1 | Direct observation of ultrafast plasmonic hot electron transfer in the strong coupling regime显示文摘Achieving strong coupling between plasmonic oscillators can significantly modulate their intrinsic optical properties.Here,we report the direct observation of ultrafast plasmonic hot electron transfer from an Au grating array to an MoS_(2) monolayer in the strong coupling regime between localized surface plasmons(LSPs)and surface plasmon polaritons(SPPs).By means of femtosecond pump-probe spectroscopy,the measured hot electron transfer time is approximately 40 fs with a maximum external quantum yield of 1.65%.Our results suggest that strong coupling between LSPs and SPPs has synergetic effects on the generation of plasmonic hot carriers,where SPPs with a unique nonradiative feature can act as an‘energy recycle bin’to reuse the radiative energy of LSPs and contribute to hot carrier generation.Coherent energy exchange between plasmonic modes in the strong coupling regime can further enhance the vertical electric field and promote the transfer of hot electrons between the Au grating and the MoS_(2) monolayer.Our proposed plasmonic strong coupling configuration overcomes the challenge associated with utilizing hot carriers and is instructive in terms of improving the performance of plasmonic opto-electronic devices. | Hangyong Shan Ying Yu Xingli Wang Yang Luo Shuai Zu Bowen Du Tianyang Han Bowen Li Yu Li Jiarui Wu Feng Lin Kebin Shi Beng Kang Tay Zheng Liu Xing Zhu Zheyu Fang | 2019 | Light(Science & Applications)2019，8，1： | 7 |
| 2 | Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings显示文摘The remaining useful life(RUL)estimation of bearings is critical for ensuring the reliability of mechanical systems.Owing to the rapid development of deep learning methods,a multitude of data-driven RUL estimation approaches have been proposed recently.However,the following problems remain in existing methods:1)Most network models use raw data or statistical features as input,which renders it difficult to extract complex fault-related information hidden in signals;2)for current observations,the dependence between current states is emphasized,but their complex dependence on previous states is often disregarded;3)the output of neural networks is directly used as the estimated RUL in most studies,resulting in extremely volatile prediction results that lack robustness.Hence,a novel prognostics approach is proposed based on a time-frequency representation(TFR)subsequence,three-dimensional convolutional neural network(3DCNN),and Gaussian process regression(GPR).The approach primarily comprises two aspects:construction of a health indicator(HI)using the TFR-subsequence-3DCNN model,and RUL estimation based on the GPR model.The raw signals of the bearings are converted into TFR-subsequences by continuous wavelet transform and a dislocated overlapping strategy.Subsequently,the 3DCNN is applied to extract the hidden spatiotemporal features from the TFR-subsequences and construct HIs.Finally,the RUL of the bearings is estimated using the GPR model,which can also define the probability distribution of the potential function and prediction confidence.Experiments on the PRONOSTIA platform demonstrate the superiority of the proposed TFR-subsequence-3DCNN-GPR approach.The use of degradation-related spatiotemporal features in signals is proposed herein to achieve a highly accurate bearing RUL prediction with uncertainty quantification. | Xu Wang Tianyang Wang Anbo Ming Qinkai Han Fulei Chu Wei Zhang Aihua Li | 2021 | Chinese Journal of Mechanical Engineering2021，34，3： | 5 |
| 3 | Prediction of cognitive scores by joint use of movie-watching fMRI connectivity and eye tracking via Attention-CensNet显示文摘Background:Brain functional connectivity under the naturalistic paradigm has been shown to be better at predicting individual behaviors than other brain states,such as rest and doing tasks.Nevertheless,the state-of-the-art methods have found it difcult to achieve desirable results from movie watching paradigm functional magnetic resonance imaging(mfMRI)-induced brain functional connectivity,especially when there are fewer datasets.Incorporating other physical measurements into the prediction method may enhance accuracy.Eye tracking,becoming popular due to its portability and lower expense,can provide abundant behavioral features related to the output of human's cognition,and thus might supplement the mfMRI in observing participants'subconscious behaviors.However,there are very few studies on how to effectively integrate the multimodal information to strengthen the performance by a unified framework.objective:A fusion approach with mfMRI and eye tracking,based on convolution with edge-node switching in graph neural networks(CensNet),is proposed in this article.Methods:In this graph model,participants are designated as nodes,mfMRI derived functional connectivity as node features,and different eye-tracking features are used to compute similarity between participants to construct heterogeneous graph edges.By taking multiple graphs as different channels,we introduce squeeze-and-excitation attention module to CensNet(A-CensNet)to integrate graph embeddings from multiple channels into one.Results:The proposed model outperforms those using a single modality and single channel,and state-of-the-art methods.Conclusions:The results indicate that brain functional activities and eye behaviors might complement each other in interpreting trait-like phenotypes. | Jiaxing Gao Lin Zhao Tianyang Zhong Changhe Li Zhibin He Yaonei Wei Shu Zhang Lei Guo Tianming Liu Junwei Han Xi Jiang Tuo Zhang | 2023 | Psychoradiology2023，3，1： | 0 |
| 4 | Wave-Enhanced Sediment-Gravity Flows in Bohai Bay Lacustrine Basin, Eastern China显示文摘Sequences of wave-enhanced sediment-gravity flows(WESGFs) have been widely recognized in the marine shelf environment. In this study, we show observations of WESGF deposits in lacustrine settings using well core and thin section data from the Paleogene in the Jiyang sub-basin, Bohai Bay basin, eastern China. The findings of this study include the following: 1) the sequence of WESGFs in the lacustrine basin is similar to that of marine; it consists of three units, MF1 unit: siltstone with basal erosion surface, MF2 unit: silt-streaked claystone, and MF3 unit: silty-mudstone; and 2) prodelta sand sheets are found in the lacustrine WESGF sequence and are classified as the MFd unit: clay-streaked siltstone. However, because the system size and variability in hydrodynamic conditions are different between the lacustrine and marine basins, lacustrine WESGFs do appear to have three distinguishable features: 1) the sediment grain size and sand content are slightly higher than those of the marine WESGFs; 2) lacustrine WESGFs may contain prodelta sediments or sedimentary sequences of other types of gravity flows, such as hyperpycnal flows; and 3) the scale of the sedimentary structures for lacustrine WESGFs is smaller. The WESGFs found in the continental lacustrine basin provide a new model for sediment dispersal processes in lake environments and may be helpful to explain and predict the distribution of sandy reservoirs for oil and gas exploration. | BAI Chenyang YU Bingsong DONG Tianyang HAN Shujun GE Jia ZHU Donglin | 2018 | Acta Geologica Sinica(English Edition)2018，92，6： | 0 |
| 5 | Color myth:anthocyanins reactions and enological approaches achieving their stabilization in the aging process of red wine显示文摘Color is a crucial sensory indicator of wine quality.However,changes in anthocyanin concentration and profile occur during wine aging,resulting in noticeable reductions in chroma and shifts in hue from purple to brick red.This is because monomeric anthocyanins degrade and derivative anthocyanins form.The rate of color changes can vary depending on complex factors,such as the anthocyanin content of the must,oenological technology,and environmental conditions,which makes the management of red wine color evolution challenging.To address this issue,appropriate winemaking techniques are required to achieve an elegant wine color.This review summarizes the mechanisms related to anthocyanin stability,including glycosylation,acetylation,and derivatization.The review also discusses factors influencing red wine color fading for specific grape varieties and wine appellations,offering time-and cost-efficient techniques to accelerate anthocyanin derivatization and color stabilization. | Siqi Cheng Tianyang Wu Jie Gao Xiaoyu Han Weidong Huang Yilin You Jicheng Zhan | 2023 | Food Innovation and Advances2023，2，4： | 0 |
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