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| 1 | Effect of Co-polyester antistatic agent modified by carbon nanotubes on the properties of polypropylene fibers显示文摘Antistatic polymer fibers were investigated by using carbon nanotubes (CNTs) to enhance the antistatic ability of inner antistatic agents based on the mechanism of attracting moisture by polar radical groups. It is indicated that the antistatic ability of the fibers filled with composite antistatic agents that contain CNTs and organic antistatic agents was superior to that of the fibers filled either with pure organic antistatic agents or pure CNTs. The antistatic ability of the composite antistatic agent fabricated by an in situ process was superior to that of the composite antistatic agent fabricated by direct dispersing CNTs in the antistatic agent carrier. Moreover, the heat-treated CNTs could further enhance the antistatic effect compared with the initial CNTs. The antistatic effect is significantly influenced by the content of CNTs in the composite antistatic agent. | Chensha Li Binsong Wang Weizhe Lu Dazhi Wang Zhi Li Zechao Di Ji Liang | 2007 | Journal of University of Science and Technology Beijing2007,14,6: | 4 |
| 2 | Thermal analysis of loop heat pipe used for high-power LED显示文摘 | Lu Xiangyou Hua Zechao Liu Meijing | 2009 | Thermochim Acta2009,493,1: | 1 |
| 3 | Sparse semantic metric learning for image retrieval 显示文摘 | Liu Jing Li Zechao Lu Hanqing | 2014 | Multimedia Systems2014,20,6: | 1 |
| 4 | Nonlinear matrix factorization with unified embedding for social tag relevance learning显示文摘 | Li Zechao Liu Jing Lu Hanqing | 2013 | Neurocomputing2013,105,: | 1 |
| 5 | Glycerol Electrooxidation over Precision-Synthesized Gold Nanocrystals with Different Surface Facets显示文摘Electrochemical glycerol oxidation(EGO)emerges as a promising route to valorize glycerol,an underutilized byproduct from biodiesel production,into value-added chemicals.This study employed three types of gold(Au)nanocrystals with controlled shapes to elucidate the facet-dependent electrocatalytic behavior in EGO.Octahedral,rhombic dodecahedral,and cubic Au nanocrystals with{111},{110},and{100}facets,respectively,were precisely synthesized with uniform size and shape.Rhombic dodecahedra exhibited the lowest onset potential for EGO due to facile AuOH formation,while octahedra showed enhanced electrochemical activity for glycerol oxidation and resistance to poisoning.In-situ FTIR analysis revealed that Au{111}surfaces selectively favored C_(2) products,whereas Au{100}surfaces promoted C_(3) product formation,highlighting the significant effect of facet orientation on EGO performance and informing catalyst design. | Hansen Mou Fang Lu Zechao Zhuang Qiaowan Chang Lihua Zhang Xiaobo Chen Yugang Zhang Jingguang G.Chen | 2024 | Precision Chemistry2024,2,3: | 0 |
| 6 | Prognostic model for prostate cancer based on glycolysis-related genes and non-negative matrix factorization analysis显示文摘Background:Establishing an appropriate prognostic model for PCa is essential for its effective treatment.Glycolysis is a vital energy-harvesting mechanism for tumors.Developing a prognostic model for PCa based on glycolysis-related genes is novel and has great potential.Methods:First,gene expression and clinical data of PCa patients were downloaded from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO),and glycolysis-related genes were obtained from the Molecular Signatures Database(MSigDB).Gene enrichment analysis was performed to verify that glycolysis functions were enriched in the genes we obtained,which were used in nonnegative matrix factorization(NMF)to identify clusters.The correlation between clusters and clinical features was discussed,and the differentially expressed genes(DEGs)between the two clusters were investigated.Based on the DEGs,we investigated the biological differences between clusters,including immune cell infiltration,mutation,tumor immune dysfunction and exclusion,immune function,and checkpoint genes.To establish the prognostic model,the genes were filtered based on univariable Cox regression,LASSO,and multivariable Cox regression.Kaplan–Meier analysis and receiver operating characteristic analysis validated the prognostic value of the model.A nomogram of the risk score calculated by the prognostic model and clinical characteristics was constructed to quantitatively estimate the survival probability for PCa patients in the clinical setting.Result:The genes obtained from MSigDB were enriched in glycolysis functions.Two clusters were identified by NMF analysis based on 272 glycolysis-related genes,and a prognostic model based on DEGs between the two clusters was finally established.The prognostic model consisted of LAMPS,SPRN,ATOH1,TANC1,ETV1,TDRD1,KLK14,MESP2,POSTN,CRIP2,NAT1,AKR7A3,PODXL,CARTPT,and PCDHGB2.All sample,training,and test cohorts from The Cancer Genome Atlas(TCGA)and the external validation cohort from GEO showed significant differences between the high-risk and low-risk groups.The area under the ROC curve showed great performance of this prognostic model.Conclusion:A prognostic model based on glycolysis-related genes was established,with great performance and potential significance to the clinical application. | ZECHAO LU FUCAI TANG HAOBIN ZHOU ZEGUANG LU WANYAN CAI JIAHAO ZHANG ZHICHENG TANG YONGCHANG LAI ZHAOHUI HE | 2023 | BIOCELL2023,47,2: | 0 |