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Effect of Initial Vortex Intensity Correction on Tropical Cyclone Intensity Prediction:A Study Based on GRAPES_TYM

Journal of Meteorological Research 2020年第2期34卷 387-399页

作者： liwen wang Suhong MA Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological Administration School of Atmospheric PhysicsNanjing University of Information Science&TechnologyNanjing 210044 National Meteorological Center China Meteorological AdministrationBeijing 100081

Predicting the intensity of tropical cyclones(TCs)is challenging in operational weather prediction systems,partly due to the difficulty in defining the initial *** an attempt to solve this problem,this study investigated the effect of initial vortex intensity correction on the prediction of the intensity of TCs by the operational numerical prediction system GRAPES_TYM(Global and Regional Assimilation and Prediction System_Typhoon Model)of the National Meteorological Center of the China Meteorological *** statistical results based on experiments using data for major TCs in 2018 show that initial vortex intensity correction can reduce the errors in mean intensity for up to 120-h integration,with a noticeable decrease in the negative bias of intensity and a slight increase in the mean track *** correction leads to an increase in the correlation coefficient of Vmax(maximum wind speed at 10-m height)for the severe typhoon and super typhoon *** of the errors in intensity at different stages of intensity(including tropical storms,severe tropical storms,typhoons,severe typhoons,and super typhoons)show that vortex intensity correction has a remarkable positive influence on the prediction of super typhoons from 0 to *** of the errors in intensity for TCs with different initial intensities indicate that initial vortex correction can significantly improve the prediction of intensity from 24 to 96 h for weak TCs(including tropical storms and severe tropical storms at the initial time)and up to 24 h for strong TCs(including severe typhoons and super typhoons at the initial time).The effect of the initial vortex intensity correction is more important for developing TCs than for weakening TCs.

关键词： vortex intensity correction intensity bias intensity error tropical cyclones

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ORDER DECISION MAKING BASED ON DIFFERENT STATEMENT STRATEGIES UNDER STOCHASTIC MARKET DEMAND

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Journal of Systems Science and Systems Engineering 2013年第2期22卷 171-190页

作者： Jiangtao wang liwen wang Fei YE Xuejun XU Jianjun YU School of Business Administration South China University of Technology Economics and Management School of Beihang University

Based on the stochastic market demand, this paper considers the order decision-making strategies of the supply chain by introducing statement strategies. Consequently, the time-variant variance in the demands of the market is incorporated into the model. The retailer simultaneously determines the purchase time （i.e., lead time） and order quantity, and the manufacturer determines the statement strategy and the reserved profit rate. The results show that the no overtime statement strategy can induce the retailer to place more orders in advance by limiting the available order quantity within the available time. Finally, we also adopt numerical examples to support the conclusion of this paper.

关键词： Stochastic demand cost-oriented statement strategy lead time

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A Combined Reinforcement Learning and Model Predictive Control for Car-Following Maneuver of Autonomous Vehicles

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Chinese Journal of Mechanical Engineering 2023年第3期36卷 315-325页

作者： liwen wang Shuo Yang Kang Yuan Yanjun Huang Hong Chen School of Automotive Studies Tongji UniversityShanghai 201804China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201804China College of Electronic and Information Engineering Tongji UniversityShanghai 201804China

Model predictive control is widely used in the design of autonomous driving ***,its parameters are sensitive to dynamically varying driving conditions,making it difficult to be implemented into *** a result,this study presents a self-learning algorithm based on reinforcement learning to tune a model predictive ***,the proposed algorithm is used to extract features of dynamic traffic scenes and adjust the weight coefficients of the model predictive *** this method,a risk threshold model is proposed to classify the risk level of the scenes based on the scene features,and aid in the design of the reinforcement learning reward function and ultimately improve the adaptability of the model predictive controller to real-world *** proposed algorithm is compared to a pure model predictive controller in car-following *** to the results,the proposed method enables autonomous vehicles to adjust the priority of performance indices reasonably in different scenarios according to risk variations,showing a good scenario adaptability with safety guaranteed.

关键词： Model predictive control Reinforcement learning Autonomous vehicles

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Cytokine Storm:The Novel Mechanism for Sleep Deprivation-induced Multiple Organ Dysfunction Syndrome

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Neuroscience Bulletin 2024年第7期40卷 1031-1033页

作者： liwen wang Huimei Liu Li Qin Lanfang Li Institute of Pharmacy and Pharmacology University of South ChinaHengyang 421001China Hengyang Medical School University of South ChinaHengyang 421001China

It is well known that sleep is one of the inevitable activities of daily living and it is one of the most important factors contributing to human *** in mammals is a cyclic occurrence of two distinct states,rapid eye ... 详细信息

关键词： NREM Sleep movement

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Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations

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Railway Engineering Science 2023年第4期31卷 351-369页

作者： Zishuai Pang liwen wang Shengjie wang Li Li Qiyuan Peng School of Transportation and Logistics Southwest Jiaotong UniversityChengdu 610031China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong UniversityChengdu 610031China

Train timetables and operations are defined by the train running time in sections,dwell time at stations,and headways between *** estimation of these factors is essential to decision-making for train delay reduction,train dispatching,and station capacity *** the present study,we aim to propose a train dwell time model based on an averaging mechanism and dynamic updating to address the challenges in the train dwell time prediction problem(e.g.,dynamics over time,heavy-tailed distribution of data,and spatiotemporal relationships of factors)for real-time train *** averaging mechanism in the present study is based on multiple state-of-the-art base predictors,enabling the proposed model to integrate the advantages of the base predictors in addressing the challenges in terms of data attributes and data ***,considering the influence of passenger flow on train dwell time,we use a dynamic updating method based on exponential smoothing to improve the performance of the proposed method by considering the real-time passenger amount fluctuations(e.g.,passenger soars in peak hours or passenger plunges during regular periods).We conduct experiments with the train operation data and passenger flow data from the Chinese high-speed railway *** results show that due to the advantages over the base predictors,the averaging mechanism can more accurately predict the dwell time at stations than its counterparts for different prediction horizons regarding predictive errors and ***,the experimental results show that dynamic smoothing can significantly improve the accuracy of the proposed model during passenger amount changes,i.e.,15.4%and 15.5%corresponding to the mean absolute error and root mean square error,*** on the proposed predictor,a feature importance analysis shows that the planned dwell time and arrival delay are the two most important factors to dwell ***,planned time has positive influen

关键词： Train operations Dwell time Passenger flow Averaging mechanism Dynamic smoothing

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Method for rating energy performance of public buildings

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Frontiers in Energy 2014年第3期8卷 379-385页

作者： Jincheng XING Youli LI Jihong LING Huiyang YU liwen wang School of Environmental Science and Engineering Tianjin University Tianjin 300072 China Tianjin Vanke Real Estate Co. Ltd. Tianjin 300141 China Urban Tianjin University Research Institute of Architectural Design & Planning Tianjin 300072 China

This paper discussed a comparative study of several state-of-art methods for determining building energy consumption benchmark. A new approach, which combined the idea of ＂building benchmark＂ and ＂operational benchmark＂ in its rating system, was proposed. A case study was conducted which applied the proposed approach to benchmarking an existing office building in Tianjin. Besides, the calculation of benchmarks of the reference building model and real building model using the rating method in eQUEST was also considered. Furthermore, the simulation results of the reference building model were taken as the baseline to divide real office buildings into different energy performance grades.

关键词： energy consumption benchmark energy efficiency benchmark energy performance level

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Steric hindrance shielding viologen against alkali attack in realizing ultrastable aqueous flow batteries

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Journal of Energy Chemistry 2024年第10期97卷 529-534,I0011页

作者： liwen wang Kai Wan Xianzhi Yuan Zhipeng Xiang Zhiyong Fu Zhenxing Liang Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical EngineeringSouth China University of TechnologyGuangzhou 510641GuangdongChina State Key Laboratory of Pulp and Paper Engineering South China University of TechnologyGuangzhou 510641GuangdongChina Guangdong Provincial Laboratory of Chemistry and Fine Chemical Engineering Jieyang Center Jieyang 522000GuangdongChina

Viologens known as a kind of promising negolyte materials for aqueous organic redox flow batteries,face a critical stability challenge due to the S_N2 nucleophilic attack by hydroxide ions(OH-)during the battery *** this work,a N-cyclic quaternary ammonium-grafted viologen molecule,viz.1,1'-bis(4,4'-dime thylpiperidiniumyl)-4,4'-bipyridinium tetrachloride((DBPPy)Cl_(4)),is developed by the molecular engineering *** obtained(DBPPy)Cl_(4) molecule shows a decent solubility of 1.84 M and a redox potential of-0.52 V ***/AgCl,Experimental and theoretical results reveal that the grafted N-cyclic quaternary ammonium groups act as the steric hindrance to prevent nucleophilic attack by OH~-,increasing the alkali resistance of the electroactive *** symmetrical battery with 0.50 M(DBPPy)Cl4shows negligible decay during the 13-day cycling *** demonstration,the flow battery utilizing 1.0 M(DBPPy)Cl_(4) as the negolyte and 1-(1-oxyl-2,2',6,6'-tetramethylpiperidin-4-yl)-1'-(3-(trimethylammonio)propyl)-4,4'-bipyridinium trichloride as the posolyte exhibits a high capacity retention rate of 99.99%per cycle at 60 mA cm^(-2).

关键词： Aqueous organic flow batteries Viologen Stability Steric hindrance Alkali resistance

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Impact-sliding wear response of 2.25Cr1Mo steel tubes:Experimental and semi-analytical method

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Friction 2022年第3期10卷 473-490页

作者： Meigui YIN Thibaut CHAISE liwen wang Daniel NÉLIAS Minhao ZHU Zhenbing CAI Tribology Research Institute Key Lab of Advanced Technologies of MaterialsSouthwest Jiaotong UniversityChengdu 610031China Univ Lyon INSA LyonCNRSLaMCoSUMR5259Villeurbanne 69621France Research Institute of Dongfang Electric Corporation Chengdu 611731China

The impact-sliding wear behavior of steam generator tubes in nuclear power plants is complex owing to the dynamic nature of the mechanical response and self-induced tribological *** this study,the effects of impact and sliding velocity on the impact-sliding wear behavior of a 2.25Cr1Mo steel tube are investigated experimentally and *** the experimental study,a wear test rig that can measure changes in the impact and friction forces as well as the compressive displacement over different wear cycles,both in real time,is designed.A semi-analytical model based on the Archard wear law and Hertz contact theory is used to predict *** results indicate that the impact dynamic effect by the impact velocity is more significant than that of the sliding velocity,and that both velocities affect the friction force and wear *** experimental results for the wear depth evolution agree well with the corresponding simulation predictions.

关键词： impact-sliding wear semi-analytical 2.25Cr1Mo steel tube nuclear reactors

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HPCAL1 is a novel driver of autophagy-dependent ferroptosis

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第11期24卷 1053-1056页

作者： liwen wang Li QIN Huimei LIU Lanfang LI Institute of Pharmaceutical Pharmacology School of PharmacyUniversity of South ChinaHengyang421001China Hengyang Medical School University of South ChinaHengyang421001China

Autophagy is a highly conserved physiological process in cells that degrades excess or damaged organelles,large protein aggregates,and pathogens via the lysosomal system(Li et al.,2021).Autophagy generally increases the self-protection mechanism of cells,which plays an important role in the maintenance of cell homeostasis as well as the synthesis,degradation,and recycling of cell products.

关键词： al. homeostasis excess

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Cloning and expressional characterization of soybean GmLls1 gene

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Chinese Science Bulletin 2006年第10期51卷 1210-1218页

作者： LI Pengli MA Yuanyuan LI Xiaoping ZHANG liwen wang Yong wang Ningning Department of Plant Biology and Ecology Nankai University Tianjin300071 China

Maize Lls1 (lethal leaf-spot 1) gene and its Arabidopsis orthologue AtAcd1 have been sug-gested to encode pheide a oxygenase (PaO), a key enzyme catalyzing chlorophyll breakdown. To further elucidate the molecular mechanism that regulates chlorophyll catabolism during soybean leaf senes-cence, a soybean Lls1 homolog was cloned and designated as GmLls1 (GenBank Accession No. DQ154009). Database searches using the deduced protein sequence revealed that it was highly ho-mologous to Lls1 genes or Lls1 orthologues in Arabidopsis, maize, cowpea and tomato. Structural analysis of the predicted GmLLS1 protein revealed typical Rieske [2Fe-2S] and mononuclear iron-bind- ing domains as well as the C-terminus CxxC motif that were conserved in and featured PaO homo-logues. RT-PCR results showed that the transcription of GmLls1 was up-regulated in all the three tested senescence systems: the natural leaf senescence process, the dark-induced primary leaf senescence and senescing cotyledons. We have previously de-scribed the involvement of an LRR receptor-like kinase (RLK), RLPK2 in regulation of soybean leaf senescence. Here we report that the expression of GmLls1 gene was dramatically down-regulated by the RNAi-mediated suppression of rlpk2 and, as ex-pected, greatly up regulated by the CaMV 35S pro-moter derived overexpression of this RLK gene. These results suggested that the expression of GmLls1 was controlled by the RLPK2-mediated se-nescence signaling pathway. The observation that the detached rlpk2-RNAi transgenic leaves exhibitedlight-dependent necrotic lesions, which featured

关键词：大豆叶老化克隆 GmLlsl基因

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