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7篇 您的检索式:作者名="Shigang Ren"
    题名 作者 年代 出处 被引量
1Investigation of kinetic and thermodynamic parameters of coal pyrolysis with model-free fitting methods显示文摘Kinetic analyses are important means for understanding the complicated coal pyrolysis process.This work conducted non-isothermal pyrolysis of four low-medium rank coals with thermogravimetric analyzer at different heating rates(5,10 and 20 K/min).Four model-free fitting approaches including KAS,OFW,Starink and Friedman methods were used to analyze pyrolysis kinetics of the coals.Thermodynamic parameters including enthalpy(ΔH)Gibbs free energy(ΔG)and entropy(ΔS)were calculated with the activation values(E)obtained with KAS method.For the kinetic analysis,the KAS,OFW and Starink methods give close E values over the whole conversion range,but the Friedman method shows more deviant results.The thermodynamic favorability of coal pyrolysis is discussed,bothΔH andΔG increase with conversion consistently with the variation of E,revealing that pyrolysis is endothermic and thermodynamic favorability is reduced with conversion rises.The minusΔS implies that coal structures evolve from disordered to organized ones as universally accepted.These results are expected to deepen our understanding and to optimize the conditions of coal pyrolysis.Jingchong Yan Qitong Yang Li Zhang Zhiping Lei Zhanku Li Zhicai Wang Shibiao Ren Shigang Kang Hengfu Shui 2020Carbon Resources Conversion2020,3,1:1
2A Study of Acoustic Source Generation Mechanism of Magnetoacoustic Tomography 显示文摘Wang Shigang Zhang Shunqi Ma Ren 2014COMPUT MED IMAG GRAP2014,38,1:1
3A study of a- coustic source generation mechanism of magnetoacoustic tomography 显示文摘WANG Shigang ZHANG Shunqi MA Ren 2014Computerized Medical Imaging and Graphics2014,38,1:1
4A study of acoustic source generation mechanism of magnetoacoustictomography 显示文摘Wang Shigang Zhang Shunqi Ma Ren 2014Computerized Medical Imaging and Graphics2014,38,1:1
5Polygenic risk score for prediction of radiotherapy efficacy and radiosensitivity in patients with non-metastatic breast cancer显示文摘Objective:To construct a novel polygenic risk scoring model,in order to predict the benefits of radiosensitivity in patients with non-metastatic breast cancer(NMBC).Methods:A total of 450 NMBC patients from The Cancer Genome Atlas(TCGA)were enrolled and randomly assigned 6:4(training vs.validation).The empirical Bayes differential analysis was used to perform differential expression analysis,univariate Cox regression and Kaplan-Meier analysis were used to screen for prognosisrelated genes.Finally,LASSO regression and stepwise regression were used to select key prognostic-related genes.We constructed a multivariate Cox proportional risk regression model using key genes.The pRRophetic function was used to predict drug sensitivity of radiosensitivity(RS)and radioresistance(RR)groups for adjuvant therapy.Results:Eight genes(AMH,H2BU1,HOXB13,TMEM132A,TMEM270,ODF3L1,RIIAD1 and RIMBP2)were screened to build a polygenic risk scoring model.The region of characteristic(ROC)curves were drawn based on the 3-,5-and 10-year overall survival(OS),with area under curves(AUCs)of 0.816,0.822 and 0.806,respectively.RS and RR can be effectively distinguished according to the risk score of 2.004.Gene set enrichment analysis(GSEA)showed that necroptosis was significantly enriched in RS,while complement and coagulation cascade,JAK-STAT and PPAR signaling pathways were significantly enriched in RR.Alternatively,for those radioresistant patients,the chemotherapy drugs that might be more helpful are Cisplatin,Docetaxel,Methotrexate and Vinblastine with higher drug sensitivity.Conclusion:The polygenic risk scoring model showed prediction for the benefit of radiotherapy in NMBC patients,which might be used to guide clinical practice.Huajian Chen Li Huang Xinlong Wan Shigang Ren Haibin Chen Shumei Ma Xiaodong Liu 2023Radiation Medicine and Protection2023,4,1:0
6Fractionation and characterization of thermal extracts from lignite under ultrasonic-assisted extraction显示文摘Hypercoal(HPC)is promising feedstock for producing coal-based chemicals due to its extremely low ash content and high reactivity.However,the conventional methods for HPC preparation through thermal extraction under mechanical stirring are difficult to scale-up due to the low HPC yield and large consumption of solvent.This work conducted ultrasonic-assisted extraction(UAE)instead of mechanical stirring to enhance the efficiency of HPC production,and the effect of technological conditions on the HPC yield were examined.It was found that the UAE could remarkably enhance the HPC yield from 52.3%to 82.4%.Moreover,the ratio of soluble(HPC-S)to deposit(HPC-D)increased from 1.65 to 2.85,verifying the high efficiency and the capacity of altering the product distribution of UAE.Xin Zha Shibiao Ren Tao Jiang Jingchong Yan Zhicai Wang Zhiping Lei Chunxiu Pan Shigang Kang Zhanku Li Hengfu Shui 2021Carbon Resources Conversion2021,4,1:0
7Regulation of hydrogen evolution performance of titanium oxide-carbon composites at high current density with a Ti-O hybrid orbital显示文摘Rational design and controllable synthesis of practical electrodes with high sta bility and activity at high current density for a hydrogen evolution reaction(HER)are critical for renewable and sustainable energy conversion.However,high-performance TiO_(2)-based electrocatalysts for HER are quite limited,and the cat alytic active centers still remain elusive.Herein,a simple strategy is demonstrated for the synthesis of TiO_(2)-carbon composite(TiO_(2)/C)with high HER performance and stability.The remarkable HER performance of TiO_(2)/C can be ascribed to the doping of carbon atoms,which leads to stronger hybridization of Ti 3d and O 2p orbitals,thus substantially improving the electrocatalytic efficiency.This study elucidates that the hydrogen evolution activity of oxide electrocatalysts can be largely improved by regulating their electronic structures by doping carbon atoms and also provides an effective strategy for designing heterostructured electro catalysts with high catalytic activity and stability at high current density for HER.Meichen Liu Zhiping Lei Qingping Ke Peixin Cui Jiancheng Wang Jingchong Yan Zhanku Li Hengfu Shui Shibiao Ren Zhicai Wang Ying Kong Shigang Kang 2022Carbon Energy2022,4,3:0
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