|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Efficient ozone decomposition over bifunctional Co_(3)Mn-layered double hydroxide with strong electronic interaction显示文摘Ground-level ozone is one of the primary pollutants detrimental to human health and ecosystems.Catalytic ozone decomposition still suffers from low efficiency and unsatisfactory stability.In this work,we report a manganese-based layered double hydroxide catalyst(Co_(3)Mn-LDH),which exhibited a superior ozone decomposition performance with the efficiency of 100% and stability over 7 h under a GHSV of 2,000,000 mL g^(-1)h^(-1) and relative humidity of 15%.Even when the relative humidity increased to 50%,the ozone decomposition also reached 86%,which significantly exceeds as-synthesized MnO_(2) and commercial MnO_(2) in performance.The catalytic mechanism was studied by H_(2)-TPR,FT-IR and XPS.The excellent performance of Co_(3)Mn-LDH can be attributed to its abundant surface hydroxyl groups that ensured the preferentially surface enrichment of ozone,as well as the cyclic dynamic replenishment of electrons between multivalent Co^(2+)/Co^(3+),Mn^(2+)/Mn^(3+)/Mn^(4+)and oxygen species that endowed the stable ozone decomposition.This work offers new insights into the design of efficient catalysts for ozone pollution control. | Bin Liu Minxian Zhang Jingling Yang Mingshan Zhu | 2022 | Chinese Chemical Letters2022，33，10： | 2 |
| 2 | Visible light-assisted peroxydisulfate activation via hollow copper tungstate spheres for removal of antibiotic sulfamethoxazole显示文摘The contamination of antibiotics in aqueous environment causes increasing concerns recently.Lightassisted activation of peroxydisulfate(PDS)has been demonstrated as an efficient technology for re moval of contamination in water.Herein,a hollow sphere of CuWO_(4)(h-CuWO_(4))was employed as a visible lightactivated photocatalyst for the activation of PDS,and following with high removal efficiency(98%)of antibiotic sulfamethoxazole(SMX).Under visible light irradiation,the degradation rate on hollow structures system is nearly 2 times higher than the traditional solid CuWO_(4) spheres.Furthermore,the underlying mechanism and detailed pathway of SMX degradation were proposed based on density functional theory(DFT)calculations and liquid chromatography-mass spectrometry(LC-MS).This work provides a new feasible way for advanced oxidation processes to remove antibiotics SMX in heterogeneous system,and open up new application possibilities of CuWO_(4)-based materials. | Minxian Zhang Jie He Yibo Chen Pei-Yu Liao Zhao-Qing Liu Mingshan Zhu | 2020 | Chinese Chemical Letters2020，31，10： | 1 |
| 3 | Properties of halloysite nanotube-epoxy resin hybrids and the interfacial reactions in the systems 显示文摘 | Liu Minxian Guo Baochun Du Minliang | 2007 | Nanotechnology2007，18，45： | 1 |
| 4 | Thermal decomposition and oxidation ageing behaviour of polypropylene/halloysite nanotube nanocomposites 显示文摘 | Du Minliang Guo Baochun Liu Minxian | 2007 | Polymer Composite2007，15，4： | 1 |
| 5 | Influ- ence of the air gap between adjacent permanent magnets on the performance of NdFeB guidway for HTS maglev system显示文摘 | Minxian Liu Suyu Wang Jiasu Wang Guangtong Ma | 2008 | J Supercond Nov Magn2008，21，2008： | 1 |
| 6 | Multimodal Omics Approaches to Aging and Age‑Related Diseases显示文摘Aging is associated with a progressive decline in physiological capacities and an increased risk of aging-associated disorders.An increasing body of experimental evidence shows that aging is a complex biological process coordinately regulated by multiple factors at diferent molecular layers.Thus,it is difcult to delineate the overall systematic aging changes based on single-layer data.Instead,multimodal omics approaches,in which data are acquired and analyzed using complementary omics technologies,such as genomics,transcriptomics,and epigenomics,are needed for gaining insights into the precise molecular regulatory mechanisms that trigger aging.In recent years,multimodal omics sequencing technologies that can reveal complex regulatory networks and specifc phenotypic changes have been developed and widely applied to decode aging and age-related diseases.This review summarizes the classifcation and progress of multimodal omics approaches,as well as the rapidly growing number of articles reporting on their application in the feld of aging research,and outlines new developments in the clinical treatment of age-related diseases based on omics technologies. | Qianzhao Ji Xiaoyu Jiang Minxian Wang Zijuan Xin Weiqi Zhang Jing Qu Guang‑Hui Liu | 2024 | Phenomics2024，4，1： | 0 |
| 7 | Earthquake Damage Analysis of M_S 4.9 Earthquake at the Juncture of Gaoyou and Baoying, Jiangsu Province显示文摘Based on the network monitoring data and field investigations,the basic characteristics of the M S4.9 earthquake at the juncture of Gaoyou and Baoying in Jiangsu Province on July20,2012 have been introduced,and the focal mechanism solutions have also been obtained.According to the regional tectonic features and site macroscopic survey,the occurrence of the earthquake was probably related to the Yangchacang-Sangshutou fault.Based on site survey data,both the evaluation criterion of seismic intensity of this region and the seismic intensity maps have been proposed.According to the damage characteristics of brick-concrete structure and brick-wood structure,the main reasons of serious damage for buildings are poor foundation conditions,low seismic bearing capacity,poor quality of construction and disrepair.Considering the differences of earthquake damage in the different regions,advice on accelerating the new rural construction,improving the resistance against earthquake disasters of rural residential areas and strengthening the seismogenic research on strong and moderate size earthquake is proposed,which will be possibly helpful for earthquake damage survey,prediction and prevention. | Liu Jianda Yang Weilin Li Limei Deng Minxian Tan Huiming | 2013 | Earthquake Research in China2013，27，4： | 0 |
| 8 | Genomic Signature for the Prognosis of Survival in Relation to the Tumor Microenvironment in Esophageal Adenocarcinoma显示文摘Objective:To establish a new genomic signature for the prognosis of survival in relation to the tumor microenvironment in esophageal adenocarcinoma.Methods:Data from The Cancer Genome Atlas(TCGA)were applied,and the stromal and immune scores of patients with esophageal adenocarcinoma(EAC)were generated through the ESTIMATE algorithm.Differentially expressed genes were obtained,and genes concerning immune prognosis were identified on the basis of these scores.Functional analysis showed that these genes were primarily involved in immunobiological processes.Additionally,CIBERSORT was used to analyze 22 subgroups of tumor-infiltrating immune cells in the tumor microenvironment.Results:The results of the genomic assessment shown on the Kaplan-Meier curve revealed that EAC patients with high-risk scores have the worst survival.The risk score is valid as an independent prognostic factor for the overall survival in EAC patients.The tumor microenvironment was systematically analyzed,and the immune-related prognostic biomarkers of EAC have been proposed.Conclusion:The expression of tumor-infiltrating immune cells and immune-related genes in EAC have been identified.Some previously overlooked genes may be used as additional biomarkers for EAC in the future. | Yin Qin Minxian Tao Lili Song Weihua Qian Haijian Gao Lianfang Liu Yonghua Zhang Yingying Pan | 2022 | Proceedings of Anticancer Research2022，6，2： | 0 |
| 9 | Pedestrian and Vehicle Detection Based on Pruning YOLOv4 with Cloud-Edge Collaboration显示文摘Nowadays,the rapid development of edge computing has driven an increasing number of deep learning applications deployed at the edge of the network,such as pedestrian and vehicle detection,to provide efficient intelligent services to mobile users.However,as the accuracy requirements continue to increase,the components of deep learning models for pedestrian and vehicle detection,such as YOLOv4,become more sophisticated and the computing resources required for model training are increasing dramatically,which in turn leads to significant challenges in achieving effective deployment on resource-constrained edge devices while ensuring the high accuracy performance.For addressing this challenge,a cloud-edge collaboration-based pedestrian and vehicle detection framework is proposed in this paper,which enables sufficient training of models by utilizing the abundant computing resources in the cloud,and then deploying the well-trained models on edge devices,thus reducing the computing resource requirements for model training on edge devices.Furthermore,to reduce the size of the model deployed on edge devices,an automatic pruning method combines the convolution layer and BN layer is proposed to compress the pedestrian and vehicle detection model size.Experimental results show that the framework proposed in this paper is able to deploy the pruned model on a real edge device,Jetson TX2,with 6.72 times higher FPS.Meanwhile,the channel pruning reduces the volume and the number of parameters to 96.77%for the model,and the computing amount is reduced to 81.37%. | Huabin Wang Ruichao Mo Yuping Chen Weiwei Lin Minxian Xu Bo Liu | 2023 | Computer Modeling in Engineering & Sciences2023，，11： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员