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| 1 | NLRP3-dependent pyroptosis is required for HIV-1 gp120- induced neuropathology显示文摘The human immunodeficiency virus-1(HIV-1)envelope protein gp120 is the major contributor to the pathogenesis of HIVassociated neurocognitive disorder(HAND).Neuroinflammation plays a pivotal role in gp120-induced neuropathology,but how gp120 triggers neuroinflammatory processes and subsequent neuronal death remains unknown.Here,we provide evidence that NLRP3 is required for gp120-induced neuroinflammation and neuropathy.Our results showed that gp120-induced NLRP3-dependent pyroptosis and IL-1βproduction in microglia.Inhibition of microglial NLRP3 inflammasome activation alleviated gp120-mediated neuroinflammatory factor release and neuronal injury.Importantly,we showed that chronic administration of MCC950,a novel selective NLRP3 inhibitor,to gp120 transgenic mice not only attenuated neuroinflammation and neuronal death but also promoted neuronal regeneration and restored the impaired neurocognitive function.In conclusion,our data revealed that the NLRP3 inflammasome is important for gp120-induced neuroinflammation and neuropathology and suggest that NLRP3 is a potential novel target for the treatment of HAND. | Xiaolong He Weijun Yang Zhijie Zeng Yi Wei Jie Gao Bao Zhang Li Li Liqun Liu Yu Wan Qing Zeng Zelong Gong Liting Liu Hanyun Zhang Yubin Li Shaojie Yang Tongtong Hu Lixian Wu Eliezer Masliah Shenghe Huang Hong Cao | 2020 | Cellular & Molecular Immunology2020，17，3： | 11 |
| 2 | Text GCN-SW-KNN:a novel collaborative training multi-label classification method for WMS application themes by considering geographic semantics显示文摘Without explicit description of map application themes,it is difficult for users to discover desired map resources from massive online Web Map Services(WMS).However,metadata-based map application theme extraction is a challenging multi-label text classification task due to limited training samples,mixed vocabularies,variable length and content arbitrariness of text fields.In this paper,we propose a novel multi-label text classification method,Text GCN-SW-KNN,based on geographic semantics and collaborative training to improve classifica-tion accuracy.The semi-supervised collaborative training adopts two base models,i.e.a modified Text Graph Convolutional Network(Text GCN)by utilizing Semantic Web,named Text GCN-SW,and widely-used Multi-Label K-Nearest Neighbor(ML-KNN).Text GCN-SW is improved from Text GCN by adjusting the adjacency matrix of the heterogeneous word document graph with the shortest semantic distances between themes and words in metadata text.The distances are calculated with the Semantic Web of Earth and Environmental Terminology(SWEET)and WordNet dictionaries.Experiments on both the WMS and layer metadata show that the proposed methods can achieve higher F1-score and accuracy than state-of-the-art baselines,and demonstrate better stability in repeating experiments and robustness to less training data.Text GCN-SW-KNN can be extended to other multi-label text classification scenario for better supporting metadata enhancement and geospatial resource discovery in Earth Science domain. | Zhengyang Wei Zhipeng Gui Min Zhang Zelong Yang Yuao Mei Huayi Wu Hongbo Liu Jing Yu | 2021 | Big Earth Data2021，5，1： | 1 |
| 3 | A mobility compensation method for drones in SG-eloT显示文摘In order to achieve the specific goal of a smart grid,the concept of electricity Internet of Things(eloT)has been proposed to assist the monitoring and inspection of power transmission line state and optimize the asset utilization.The long power transmission line and the complex field operation environment urge the introduction of drones into the eloT for fast power transmission line inspection,data collection from sensors for further big data analysis,adaptive control of power line voltage,etc.Additionally,drones can also act as a central communication control or relay point to serve the data exchange among sensors,drones and power transmission line maintenance personnel in the scenario where the conventional mobile communication service is not available.However,the fast mobility of drones may affect the signal transmission and position estimation performance,which may further deteriorate the networking performance.In order to solve this problem,a mobility compensation method is proposed,which includes the steps of frequency offset estimation and relative velocity calculation.Through the Monte Carlo simulations,the proposed algorithm shows favorable gains compared with the conventional ones. | Liguo Weng Yanghui Zhang Yong Yang Min Fang Zelong Yu | 2021 | Digital Communications and Networks2021，7，2： | 0 |
| 4 | Oxalic acid cross-linked sodium alginate and carboxymethyl chitosan hydrogel membrane for separation of dye/NaCl at high NaCl concentration显示文摘Dye desalination is a challenge in the treatment of textile wastewater with high salt concentration. It is imperative to develop salt resistance membrane that is from sustainable materials to effectively treat dye/salt mixtures. And most polymer membrane materials are non-renewable petrochemical resources.In this paper, a green hydrogel membrane(CMCS-OA-Na Alg) was prepared by non-metallic ions of oxalic acid(OA) cross-linking of two natural macromolecules of sodium alginate(Na Alg) and carboxymethyl chitosan(CMCS). The membrane showed excellent anti-swelling at high salt concentration(swelling rate less than 8.0% in 10.0 wt% Na Cl solution) and good anti-fouling performance. The membrane exhibited a rejection higher than 95.0% for dyes(bright blue, direct black, direct red, and Congo red) and lower than7.0% for Na Cl, which can achieve better dye/Na Cl separation performance. This study provides a promising membrane material for high salt textile wastewater treatment only using water and carbohydrates as raw materials without any organic solvents. | Wenbin Xie Kongyin Zhao Lijing Xu Ningning Gao Hui Zhao Zelong Gong Linan Yu Jun Jiang | 2022 | Chinese Chemical Letters2022，33，4： | 0 |
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