Fabrication of Aluminum-based Superhydrophobic Coating by Anodization and Research on Stability and Corrosion Resistance by ZHENG Shun-li, LI Cheng, XIANG Teng-fei, HU Wei, DING Shi-bing, WANG Jing, LIU Pan-jin

“…The corresponding corrosion current density (I_corr) is reduced by 2 orders of magnitude and the corrosion potential (<i>E</i>_corr) shifts from -0.629V to -0.570V compared to the bare Al substrate, indicating excellent corrosion resistance. …”
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Mixture-of-Experts Model for Hypernymy Discrimination by ZENG Nan, XIE Zhipeng

“…Hypernymy discrimination is an essential and challenging task in NLP.Traditional supervised methods usually model all the hypernymies in the global semantic space,which has achieved fair performance.However,the distributed semantic representation of hypernymies is rather complex,and their manifestations may differ significantly in different areas of the semantic space,making it difficult to learn the global model.This paper employs the mixture-of-experts framework as a solution.It works on the basis of a divide-and-conquer strategy,which divides the semantic space into multiple subspaces,and each subspace corres-ponds to a local expert(model).A number of localized experts(models) focus on their own domains(or subspaces) to learn their specialties,and a gating mechanism determines the space partitioning and the expert aggregation.Experimental results show that the mixture-of-experts model outperforms the traditional global ones on public datasets.…”
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Fabrication and Characterization of Stearic Acid Modified Ce-V Conversion Coating on Magnesium Alloy by JIANG Xiao, GUO Rui-guang, TANG Chang-bin

“…The modified coating increases the corrosion resistance (<em>R</em>_coat) by 25 times and decreases the corrosion current density (i_corr) by 2 orders of magnitude compared to the Ce-V conversion coating. …”
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DTI Brain Template Construction Based on Gaussian Averaging by DENG Lan, WANG Yuan-jun

“…The experimental results show that compared with the linear DTI template, the Gaussian DTI template performs better on the DTED, COH, DVED, OVL, and corrFA evaluation indicators but poorer on the IA indicator. …”
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Cross-network User Identification Based on Multiple Spatio-Temporal Trajectory Features by LIU Hong, ZHU Yan, LI Chunping

“…With the flourishing of location-based social networks,users’mobile behavior data has been greatly enriched,which promotes the research on user identification based on spatio-temporal data.User identification in cross-location social networks emphasizes learning the correlation between time and space sequences of different platforms,aiming at discovering the accounts registered by the same user on different platforms.In order to solve the problems of data sparsity,low quality and spatio-temporal mismatch faced by existing researches,a recognition algorithm UI-STDD combining bidirectional spatio-temporal dependence and spatio-temporal distribution is proposed.The algorithm mainly consists of three modules:the space-time sequence module is combined with the bidirectional long short-term memory network of paired attention to describe user movement patterns;the time preference module defines the user personalized mode from coarse and fine granularity;the spatial location module mines local and global information of location points to quantify spatial proximity.Based on the user trajectory pair features obtained by the above modules,a multi-layer feedforward network is used in UI-STDD to distinguish whether two accounts across the network corres-pond to the same person in real life.To verify the feasibility and effectiveness of UI-STDD,experiments are carried out on three publicly available datasets.Experimental results show that the proposed algorithm can improve the user identification rate based on spatio-temporal data,and the average F1 value is more than 10% higher than the optimal comparison method.…”
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