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| 1 | A nomogramfor predicting overall survival in patients with low-grade endometrial stromal sarcoma: A population-based analysis显示文摘Background:Low-grade endometrial stromal sarcoma(LG-ESS)is a rare tumor that lacks a prognostic prediction model.Our study aimed to develop a nomogram to predict overall survival of LG-ESS patients.Methods:A total of 1172 patients confirmed to have LG-ESS between 1988 and 2015 were selected from the Surveillance,Epidemiology and End Results(SEER)database.They were further divided into a training cohort and a validation cohort.The Akaike information criterion was used to select variables for the nomogram.The discrimination and calibration of the nomogram were evaluated using concordance index(C-index),area under time-dependent receiver operating characteristic curve(time-dependent AUC),and calibration plots.The net benefits of the nomogram at different threshold probabilities were quantified and compared with those of the International Federation of Gynecology and Obstetrics(FIGO)criteria-based tumor staging using decision curve analysis(DCA).Net reclassification index(NRI)and integrated discrimination improvement(IDI)were also used to compare the nomogram’s clinical utilitywith that of the FIGO criteria-based tumor staging.The risk stratifications of the nomogram and the FIGO criteria-based tumor staging were compared.Results:Seven variables were selected to establish the nomogram for LG-ESS.The C-index(0.814 for the training cohort and 0.837 for the validation cohort)and the time-dependent AUC(>0.7)indicated satisfactory discriminative ability of the nomogram.The calibration plots showed favorable consistency between the prediction of the nomogram and actual observations in both the training and validation cohorts.The NRI values(training cohort:0.271 for 5-year and 0.433 for 10-year OS prediction;validation cohort:0.310 for 5-year and 0.383 for 10-year OS prediction)and IDI(training cohort:0.146 for 5-year and 0.185 for 10-year OS prediction;validation cohort:0.177 for 5-year and 0.191 for 10-year OS prediction)indicated that the established nomogram performed significantly better than the FIGO criteria-based tumor staging alone(P<0.05).Furthermore,DCA showed that the nomogram was clinically useful and had better discriminative ability to recognize patients at high risk than the FIGO criteria-based tumor staging.Conclusions:A prognostic nomogram was developed and validated to assist clinicians in evaluating prognosis of LG-ESS patients. | Jie Wu Huibo Zhang Lan Li Mengxue Hu Liang Chen Bin Xu Qibin Song | 2020 | Cancer Communications2020，40，7： | 35 |
| 2 | Lattice Boltzmann simulation of fluid flow through coal reservoir's fractal pore structure显示文摘The influences of fractal pore structure in coal reservoir on coalbed methane(CBM) migration were analyzed in detail by coupling theoretical models and numerical methods.Different types of fractals were generated based on the construction thought of the standard Menger Sponge to model the 3D nonlinear coal pore structures.Then a correlation model between the permeability of fractal porous medium and its pore-size-distribution characteristics was derived using the parallel and serial modes and verified by Lattice Boltzmann Method(LBM).Based on the coupled method,porosity(ф),fractal dimension of pore structure(Db),pore size range(rmin,rmax) and other parameters were systematically analyzed for their influences on the permeability(ф) of fractal porous medium.The results indicate that:① the channels connected by pores with the maximum size(rmax) dominate the permeability,approximating in the quadratic law;② the greater the ratio of r max and r min is,the higher is;③ the relationship between D b and follows a negative power law model,and breaks into two segments at the position where Db ≌2.5.Based on the results above,a predicting model of fractal porous medium permeability was proposed,formulated as k=cfrnmax,where C and n(approximately equal to 2) are constants and f is an expression only containing parameters of fractal pore structure.In addition,the equivalence of the new proposed model for porous medium and the Kozeny-Carman model k=Crn was verified at Db =2.0. | JIN Yi SONG HuiBo HU Bin ZHU YiBo ZHENG JunLing | 2013 | Science China Earth Sciences2013，56，9： | 15 |
| 3 | Chemical Synthesis Residual Pyrolysis and Combustion: Kinetics and Evolved Gases Investigated by TG-FTIR显示文摘Chemical synthetic residual is one of the solid wastes generated from pharmaceutical industry.The pyrolysis and combustion characteristics of chemical synthesis residual were investigated using a thermogravimetric analyser coupled with Fourier transform infrared spectroscopy(TG-FTIR)in this study.The processes of pyrolysis and combustion can be divided into three stages.The average weight loss rate of pyrolysis process at low temperature was higher than that of combustion.The kinetic parameters of chemical synthesis residual during pyrolysis and combustion were calculated based on the TG results.Acetic acid and 4-aminophenol were the main evolved matter observed in the pyrolysis process.The emission characteristics of combustion at low temperature were similar to that of the pyrolysis,while CO2 was found as the major gaseous product at high temperature.A high temperature about 850°C is needed to make sure the complete combustion of chemical synthesis residual. | FANG Chunqi JIANG Xuguang LV Guojun YAN Jianhua LIN Xuliang SONG Huibo CAO Junjun | 2020 | Journal of Thermal Science2020，29，1： | 3 |
| 4 | Geochemistry of the late Permian No. 30 coal seam, Zhijin Coalfield of Southwest China: influence of a siliceous low-temperature hydrothermal fluid显示文摘 | Shifeng Dai Dahua Li Deyi Ren Yuegang Tang Longyi Shao Huibo Song | 2004 | Applied Geochemistry2004，，8： | 1 |
| 5 | Combination of dark- and photo-fermentation to enhance hydrogen production and energy conversion efficiency显示文摘 | Huibo Su Jun Cheng Junhu Zhou Wenlu Song Kefa Cen | 2009 | International Journal of Hydrogen Energy2009，，21： | 1 |
| 6 | Improving hydrogen production from cassava starch by combination of dark and photo fermentation显示文摘 | Huibo Su Jun Cheng Junhu Zhou Wenlu Song Kefa Cen | 2008 | International Journal of Hydrogen Energy2008，，4： | 1 |
| 7 | Sedi- mentary facies, ichnofossils and storm deposits in the Lower Permian Taiyuan Formation, Jiaozuo city, Henan Province, Central China 显示文摘 | HU BIN SONG HUIBO LIU SHUNXI | 2010 | Acta Geologica Polonica2010，60，1： | 1 |
| 8 | Biocompatible carbon dots with low-saturation-intensity and highphotobleaching-resistance for STED nanoscopy imaging of the nucleolus and tunneling nanotubes in living cells显示文摘Many kinds of nano particles and organic dyes as fluorescent probes have been used in the stimulated emission depletion(STED)nanoscopy.Due to high toxicity,photobleaching and non-water solubility,these fluorescent probes are hard to apply in living cell imaging.Here,we reporta new fluorescence carbon dots(FNCDs)with high photoluminescence quantum yield(56%),low toxicity,anti-photobleaching and goodwater-solubility that suitable for live-cell imaging can be obtained by doping fluorine element.Moreover,the FNCDs can stain the nucleolusand tunneling nanotubes(TNTs)in the living cell.More importantly,for STED nanoscopy imaging,the FNCDs effectively depleted backgroundsignals and improved imaging resolution.Furthermore,the lateral resolution of single FNCDs size under the STED nanoscopy is up to 22.1 nm for FNCDs deposited on a glass slide was obtained.And because of their good water dispersibility,the higher resolution of single FNCDs sizein the nucleolus of a living cell can be up to 19.7 nm.After the image optimizati on steps,the fine fluoresce nee images of TNTs diameter with ca.75 nm resolution is obtained living cell,yielding a threefold enhancement compared with that in confocal imaging.Additionally,the FNCDs show excellent photobleaching resistance after 1,000 scan cycles in the STED model.All results show that FNCDs have significant potentialfor application in STED nanoscopy. | Hao Li Shuai Ye Jiaqing Guo Huibo Wang Wei Yan Jun Song Junie Qu | 2019 | Nano Research2019，12，12： | 0 |
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