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食管基底细胞样鳞癌的诊断和治疗

四川肿瘤防治 2003年第4期16卷 200-202页

作者：石殿鹏王颖李道堂张百江张为迪山东省肿瘤医院胸外科山东省医学科学院附属医院检验科济南250062

目的:探讨食管基底细胞样鳞癌的临床病理特征、诊断及治疗方法的选择。方法:对手术治疗的食管基底细胞样鳞癌13例的临床资料进行回顾性分析。结果:食管基底细胞样鳞癌的临床表现和影像学特征与鳞癌相似,以溃疡型多见;治疗以手术为主。... 详细信息

目的:探讨食管基底细胞样鳞癌的临床病理特征、诊断及治疗方法的选择。方法:对手术治疗的食管基底细胞样鳞癌13例的临床资料进行回顾性分析。结果:食管基底细胞样鳞癌的临床表现和影像学特征与鳞癌相似,以溃疡型多见;治疗以手术为主。本组手术切除率.100％,无手术并发症,无围术期死亡,1年、2年、3年生存率分别为61.54％、7.69％、0％。结论:食管基底细胞样鳞癌是高度恶性肿瘤,进展快,转移早,其最终确诊有赖于食管镜活检或手术标本病理检查;根治性手术配合纵隔放疗是其首选治疗方法,探讨合理的化疗有助于提高患者的生存质量。

关键词：食管基底细胞样鳞癌手术治疗临床研究病例分析溃疡

Adaptive threading strategy based on rolling characteristics analysis in hot strip rolling

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Journal of Central South University 2017年第7期24卷 1560-1572页

作者： peng Wen CHEN Shu-zong GONG dian-yao LIU Zi-ying ZHANG dian-hua State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China Research Institute of Technology Shougang GroupBeijing 100041China

In order to improve the threading stability and the head thickness precision in tandem hot rolling process, an adaptive threading strategy was proposed. The proposed strategy was realized by the rolling characteristics analysis, and factors which affect the rolling force and the final thickness were determined and analyzed based on the influence coefficients calculation process. An objective function consisting of the influenced factors was founded, and the disturbance quantity was obtained by minimizing the function with the Nelder-Mead simplex method, and the proposed adaptive threading strategy was realized based on the calculation results. The adaptive threading strategy has been applied to one 7-stand hot tandem mill successfully, actual statistics data show that the predicted rolling force prediction in the range of +/- 5.0% is improved to 97.8%, the head thickness precision in the range of +/- 35 mu m is improved to 98.5%, and the threading stability and the head thickness precision are enhanced to a high level.

关键词： hot strip rolling adaptive threading rolling characteristics analysis influence coefficients method simplex algorithm

Role of the Solution Environment in Nanofiltration for the Recovery of Ionic Liquids from Water

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China Petroleum Processing & Petrochemical Technology 2022年第3期24卷 95-104页

作者： Qian Jianguo Shi peng Shi Yanan Niu dian SINOPEC Research Institute of Petroleum Processing Co. Ltd.Beijing100083

In this work,experiments to examine the recycling of ionic liquids(ILs)from aqueous solution by nanofiltration(NF)were *** influences of pH,ionic strength,and macromolecular organic matter on filtration performance metrics including the volume flux(J_(v))and observed rejection(R_(obs))were systematically *** solutions of three widely studied ILs,specifically 1-butyl-3-methylimidazolium chloride([C_(4)mim]Cl),1-decyl-3-methylimidazolium chloride([C_(10)mim]Cl),and 1-buty 1-3-methylimidazolium tetrafluoroborate([C_(4)mim]BF_(4))were selected for this *** mechanisms of interaction between the ILs and the NF membrane under different pH and ionic-strength conditions were revealed by quantum chemical calculations and molecular *** results showed that with increasing pH,the J_(v) and R_(obs)values of the[C_(4)mim]Cl and[C_(10)mim]Cl aqueous solutions increased,while for the[C_(4)mim]BF_(4)aqueous solution,the J_(v) value increased and the R_(obs)value ***,with increasing ionic strength,the J_(v) values of the[C_(4)mim]Cl and[C_(4)mim]BF_(4)aqueous solutions decreased,and their R_(obs)values increased;conversely,for the[C_(10)mim]Cl aqueous solution,the R_(obs)value decreased,and the J_(v) vale first increased and then *** addition,it was found that the presence of macromolecular organic matter tends to cause membrane fouling and has a great influence on the separation of aqueous solutions of ILs by *** general,membrane fouling leads to an increase in the R_(obs)value but a decrease in the J_(v) value.

关键词： ionic liquids nanofiltration pH ionic strength macromolecular organic matter

Population dynamics and considerations for the conservation of the rare Cycas fairylakea in China

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Forestry Studies in China 2012年第2期14卷 118-123页

作者： wang dian-pei peng Shao-lin CHEN Fei-peng JI Shu-yi College of Life Science and Technology Hubei Engineering UniversityXiaogan 432000P.R.China South China Botanical Garden Chinese Academy of SciencesGuangzhou 510650P.R.China College of Life Science Sun Yat-Sen UniversityGuangzhou 510275P.R.China College of Life Science South China Agricultural UniversityGuangzhou 510642P.R.China

Quantitative dynamics and viability of a rare and wild Cycas fairylakea population were studied with a time-specific life table, a Leslie matrix model and a survival function in order to provide scientific guidance for its protection. The results of the time- specific life table show that this C. fairylakea population suffered a high death rate in three age classes, i.e., age class 1 （0-15 years）, V （61-75 years） and VI （76-90 years）. The Leslie matrix model suggests that the number of plants would decline from the present 1613 to 59 per hectare in 150 years. Furthermore, the viability analysis indicates that seedlings have the highest mortality density rate and that middle-aged plants （i.e., 61-75 years, 76-90 years） have high mortality density rate and hazard rate. These conditions affect natural regeneration of the population and lead to a lack of seedlings which in turn causes the extinction of the population. An in situ conservation of the population should be established and protection measures taken as soon as possible.

关键词： Cycasfairylakea population rare species time-specific life table Leslie matrix model viability

Self-Learning and Its Application to Laminar Cooling Model of Hot Rolled Strip

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Journal of Iron and Steel Research International 2007年第4期14卷 11-14页

作者： GONG dian-yao XU Jian-zhong peng Liang-gui wang Guo-dong LIU Xiang-hua State Key Laboratory of Rolling Technology and Automation Northeastern University Shenyang 110004 Liaoning China

The mathematical model for online controlling hot rolled steel cooling on run-out table （ROT for abbreviation） was analyzed, and water cooling is found to be the main cooling mode for hot rolled steel. The calculation of the drop in strip temperature by both water cooling and air cooling is summed up to obtain the change of heat transfer coefficient. It is found that the learning coefficient of heat transfer coefficient is the kernel coefficient of coiler temperature control （CTC） model tuning. To decrease the deviation between the calculated steel temperature and the measured one at coiler entrance, a laminar cooling control self-learning strategy is used. Using the data acquired in the field, the results of the self-learning model used in the field were analyzed. The analyzed results show that the self-learning function is effective.

关键词： laminar cooling hot rolled strip self-learning process control model

Dynamic matrix predictive control for a hydraulic looper system in hot strip mills

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Journal of Central South University 2017年第6期24卷 1369-1378页

作者： YIN Fang-chen SUN Jie peng Wen wang Hong-yu YANG Jing ZHANG dian-hua State Key Laboratory of Rolling and Automation(Northeastern University) Shenyang 110819China

Controlling the looper height and strip tension is important in hot strip mills because these variables affect both the strip quality and strip threading. Many researchers have proposed and applied a variety of control schemes for this problem, but the increasingly strict market demand for strip quality requires further improvements. This work describes a dynamic matrix predictive control(DMC) strategy that realizes the optimal control of a hydraulic looper multivariable system. Simulation experiments for a traditional controller and the proposed DMC controller were conducted using MATLAB/Simulink software. The simulation results show that both controllers acquire good control effects with model matching. However, when the model is mismatched, the traditional controller produces an overshoot of 32.4% and a rising time of up to 2120.2 ms, which is unacceptable in a hydraulic looper system. The DMC controller restricts the overshoot to less than 0.08%, and the rising time is less than 48.6 ms in all cases.

关键词： hot strip mill hydraulic looper system mathematical model dynamic matrix predictive control

Application of distributed model predictive control based on neighborhood optimization in gauge-looper integrated system of tandem hot rolling

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Journal of Iron and Steel Research International 2023年第2期30卷 277-292页

作者： Jie Sun Fan Hou Yun-jian Hu Long-jun wang Hao-yue Jin Wen peng Xiao-jian Li dian-hua Zhang State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang110819LiaoningChina

To solve the coupling relationship between the strip automatic gauge control and the looper control in traditional control strategy of tandem hot rolling,a distributed model predictive control(DMPC)strategy for the tandem hot rolling was explored,and a series of simulation experiments were carried ***,based on the state space analysis method,the multivariable dynamic transition process of hot strip rolling was studied,and the state space model of a gauge-looper integrated system in tandem hot rolling was ***,DMPC strategy based on neighborhood optimization was proposed,which fully considered the coupling relationship in this integrated ***,a series of experiments simulating disturbances and emergency situations were completed with actual rolling *** experimental results showed that the proposed DMPC control strategy had better performance compared with the traditional proportional-integral control and centralized model predictive control,which is applicable for the gauge-looper integrated system.

关键词： Tandem hot rolling Gauge Looper integrated system State space model Distributed model predictive control Neighborhood optimization

Highly Thermally Conductive Polydimethylsiloxane Composites with Controllable 3D GO@f-CNTs Networks via Self-sacrificing Template Method

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Chinese Journal of Polymer Science 2024年第7期42卷 897-906,I0005页

作者： Shuang-Shuang wang dian-Ying Feng Zhi-Ming Zhang Xia Liu Kun-peng Ruan Yong-Qiang Guo Jun-Wei Gu Shaanxi Key Laboratory of Macromolecular Science and Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an710072China Shandong Institute of Nonmetallic Materials Jinan250031China Queen Mary University of London Engineering School Northwestern Polytechnical UniversityXi’an710072China

Constructing controllable thermal conduction networks is the key to efficiently improve thermal conductivities of polymer *** this work,graphite oxide(GO)and functionalized carbon nanotubes(f-CNTs)are combined to prepare“Line-Plane”-like hetero-structured thermally conductive GO@f-CNTs fillers,which are then performed to construct controllable 3D GO@f-CNTs thermal conduction networks via selfsacrificing template method based on oxalic ***,thermally conductive GO@f-CNTs/polydimethylsiloxane(PDMS)composites are fabricated via casting *** the size of oxalic acid is 0.24 mm and the volume fraction of GO@f-CNTs is 60 vol%,GO@f-CNTs/PDMS composites present the optimal thermal conductivity coefficient(λ,4.00 W·m^(-1)·K^(-1)),about 20 times that of theλof neat PDMS(0.20 W·m^(-1)·K^(-1)),also much higher than theλ(2.44 W·m^(-1)·K^(-1))of GO/f-CNTs/PDMS composites with the same amount of randomly dispersed ***,the obtained GO@f-CNTs/PDMS composites have excellent thermal stability,whoseλdeviation is only about 3%after 500 thermal cycles(20-200℃).

关键词： Polydimethylsiloxane Hetero-structured thermally conductive fillers Self-sacrificing template Thermal conduction networks

An Investigation into Regenerative Braking Control Strategy for Hybrid Electric Vehicle

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Journal of Shanghai Jiaotong university(Science) 2005年第4期10卷 407-412页

作者： peng Dong（彭栋） YIN Cheng-liang（殷承良） ZHANG dian-wu（张建武） School of Mechanical Eng. Shanghai Jiaotong Univ. Shanghai 200030 China

Energy regeneration during braking is an important technique for hybrid electric vehicle (HEV) to improve their fuel economy and extend their driving range. Due to the effect of regenerative braking torque which is added by electric motor, the braking torque distribution between front and rear axles should be changed and the control logic of anti-lock braking system (ABS) ought to be adjusted according to the regenerative braking torque. This paper put forward a braking control strategy for hybrid electric vehicle; the control strategy is implemented with eight DOFs (Degree-of-Freedom) nonlinear vehicle forward simulation model which is built under the environment of Matlab/Simulink. Based on target wheel slip ratio, a fuzzy logic approach was applied to maintain the optimal target slip ratio so that best compromise between hydraulic torque and regenerative torque can be obtained for the vehicle.

关键词： hybrid electric vehicle regenerative braking torque hydraulic braking torque fuzzy logic control