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| 1 | Population Genomic Analysis and De Novo Assembly Reveal the Origin of Weedy Rice as an Evolutionary Game显示文摘Crop weediness,especially that of weedy rice(Oryza sativa f.spontanea),remains mysterious.Weedy rice possesses robust ecological adaptability;however,how this strain originated and gradually formed proprietary genetic features remains unclear?Here,we demonstrate that weedy rice at Asian high latitudes(WRAH)is phylogenetically well defined and possesses unselected genomic characteristics in many divergence regions between weedy and cultivated rice.We also identified novel quantitative trait loci underlying weedy-specific traits,and revealed that a genome block on the end of chromosome 1 is associated with rice weediness.To identify the genomic modifications underlying weedy rice evolution,we generated the first de novo assembly of a high-quality weedy rice genome(WR04-6),and conducted a comparative genomics study between WR04-6 with other rice reference genomes.Multiple lines of evidence,including the results of demographic scenario comparisons,suggest that differentiation between weedy rice and cultivated rice was initiated by genetic improvement of cultivated rice and that the essence of weediness arose through semi-domestication.A plant height model further implied that the origin of WRAH can be modeled as an evolutionary game and indicated that strategy-based selection driven by fitness shaped its genomic diversity. | Jian Sun Dianrong Ma Liang Tang Minghui Zhao Guangchen Zhangh Wenjia Wang Jiayu Song Xiang Li Zimeng Liu Wenxing Zhang Quan Xu Yuncheng Zhou Jianzhong Wu Toshio Yamamoto Fei Dai Yan Lei Song Li Gang Zhou Hongkun Zheng Zhengjin Xu Wenfu Chen | 2019 | Molecular Plant2019，12，5： | 9 |
| 2 | Linear-quadratic stochastic Stackelberg differential game with asymmetric information显示文摘This paper is concerned with a linear-quadratic stochastic Stackelberg differential game, where players have asymmetric roles, with one leader and one follower in the context of two-person game. It is required that the information available to the follower is a sub-σ-algebra of the one of the leader. By maximum principle and optimal filtering, a feedback Stackelberg equilibrium of the game is given. A special example is used to elaborate the result. | Jingtao SHI Guangchen WANG Jie XIONG | 2017 | Science China(Information Sciences)2017，60，9： | 4 |
| 3 | Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning显示文摘A356 alloys are widely used in industries due to their excellent comprehensive performance.Sr is usually added in A356 alloys to improve their mechanical properties.There have been various experimental reports on the optimal additional amount of Sr in A356 alloys,but their results are inevitably inconsistent.In this paper,a combination of computational thermodynamic and machine learning approaches was employed to determine the optimal Sr content in A356 alloys with the best mechanical properties.First,a self-consistent thermodynamic database of quaternary Al-Si-Mg-Sr system was established by means of the Calculation of PHAse Diagram technique supported by key experiments.Second,the fractions for solidified phase/structures of A356-xSr alloys predicted by Scheil simulation,together with the measured mechanical properties were set as the input dataset in the machine learning model to train the relation of“composition-microstructure-properties”.The optimal addition of Sr in A356 alloy was designed as 0.005 wt.%and validated by key experiments.Furthermore,such a combinatorial approach can help to understand the strengthening/toughening mechanisms of Sr-modified A356 alloys.It is also anticipated that the present approach may provide a feasible means for efficient and accurate design of various casting alloys and understanding the alloy strengthening/toughening mechanisms. | Wang Yi Guangchen Liu Zhao Lu Jianbao Gao Lijun Zhang | 2022 | Journal of Materials Science & Technology2022，，17： | 3 |
| 4 | A Mean-Field Linear-Quadratic Stochastic Stackelberg Differential Game with one Leader and Two Followers显示文摘This paper is concerned with a linear-quadrati stochastic Stackelberg differential game with one leader and two followers,where the game system is governed by a mean-field stochastic differential equatio.By maximum principle and verification theorem,the open-loop Stackelberg solution is expressed as a feedback form of the state and its mean with the help of three systems of Riccati equations. | WANG Guangchen ZHANG Susu | 2020 | Journal of Systems Science & Complexity2020，33，5： | 1 |
| 5 | Optimal premium policy of an insurance firm: full and partial information显示文摘 | HUANG Jianhui WANG Guangchen WU Zhen | 2010 | Insurance: Mathematics and Economics2010，47，1： | 1 |
| 6 | A partial information non-zero sum differential game of backward stochastic differential e- quations with applications 显示文摘 | WANG Guangchen YU Zhiyong | 2012 | Automatica2012，48，： | 1 |
| 7 | A systematic review on the safety of Psoraleae Fructus:potential risks,toxic characteristics,underlying mechanisms and detoxification methods显示文摘Psoraleae Fructus(PF)is an important traditional herbal medicine with a long history of clinical application.It is widely used to treat various diseases,such as osteoporosis,leucoderma and diarrhea.As a traditional nontoxic herb,it has aroused worldwide concern about the potential risks due to increasing adverse reaction events.This article reviews the botany,ancient records of medical uses,adverse reactions,toxicological research advance and detoxification methods of PF.According to clinical studies,liver injury is the most predominant in PF-related adverse reactions.The underlying mechanisms include bile acid metabolism and transport disorders,oxidative stress,mitochondrial damage,inhibition of liver cell regeneration and inflammatory reactions.Furthermore,the potential toxins of PF are summarized.Traditional methods of processing and compatibility will provide reference for reducing the toxicity of PF,which requires further research.In sum,this work systematically summarizes the reserach progress on the safety of PF,which will provide comprehensive insights into the toxicity of PF and facilitate its safe use and future development. | SHI Zhuo GAO Jing PAN Jinchao ZHANG Zuqi ZHANG Guangchen WANG Yuguang GAO Yue | 2022 | Chinese Journal of Natural Medicines2022，20，11： | 1 |
| 8 | A partial information linear-quadratic optimal control problem of backward stochastic differential equation with its applications显示文摘In this paper,we investigate a kind of partial information linear-quadratic optimal control problem driven by a backward stochastic differential equation,where the state equation and the cost functional contain diffusion terms.Using maximum principle,we derive the corresponding Hamiltonian system,which is a conditional mean-field forward-backward stochastic differential equation.By the backward separation approach and the filtering technique,we get two Riccati equations,and a backward and a forward optimal filtering equations.Then a feedback form of optimal control is obtained.We also extend the control problem to the case of mean-field backward stochastic differential equation under partial information.A corresponding feedback form of optimal control is also obtained. | Pengyan HUANG Guangchen WANG Huanjun ZHANG | 2020 | Science China(Information Sciences)2020，63，9： | 1 |
| 9 | Discovery of small molecule degraders for modulating cell cycle显示文摘The cell cycle is a complex process that involves DNA replication,protein expression,and cell division.Dysregulation of the cell cycle is associated with various diseases.Cyclin-dependent kinases(CDKs)and their corresponding cyclins are major proteins that regulate the cell cycle.In contrast to inhibition,a new approach called proteolysis-targeting chimeras(PROTACs)and molecular glues can eliminate both enzymatic and scaffold functions of CDKs and cyclins,achieving targeted degradation.The field of PROTACs and molecular glues has developed rapidly in recent years.In this article,we aim to summarize the latest developments of CDKs and cyclin protein degraders.The selectivity,application,validation and the current state of each CDK degrader will be overviewed.Additionally,possible methods are discussed for the development of degraders for CDK members that still lack them.Overall,this article provides a comprehensive summary of the latest advancements in CDK and cyclin protein degraders,which will be helpful for researchers working on this topic. | Liguo Wang Zhouli Yang Guangchen Li Yongbo Liu Chao Ai Yu Rao | 2023 | Frontiers of Medicine2023，17，5： | 0 |
| 10 | A Mean-Field Game for a Forward-Backward Stochastic System With Partial Observation and Common Noise显示文摘This paper considers a linear-quadratic(LQ) meanfield game governed by a forward-backward stochastic system with partial observation and common noise,where a coupling structure enters state equations,cost functionals and observation equations.Firstly,to reduce the complexity of solving the meanfield game,a limiting control problem is introduced.By virtue of the decomposition approach,an admissible control set is proposed.Applying a filter technique and dimensional-expansion technique,a decentralized control strategy and a consistency condition system are derived,and the related solvability is also addressed.Secondly,we discuss an approximate Nash equilibrium property of the decentralized control strategy.Finally,we work out a financial problem with some numerical simulations. | Pengyan Huang Guangchen Wang Shujun Wang Hua Xiao | 2024 | IEEE/CAA Journal of Automatica Sinica2024，11，3： | 0 |
| 11 | Classifying Globular Clusters and Applying them to Estimate the mass of the Milky Way显示文摘We combine the kinematics of 159 globular clusters(GCs) provided by the Gaia Early Data Release 3(EDR3) with other observational data to classify the GCs,and to estimate the mass of the Milky Way(MW).We use the agemetallicity relation,integrals of motion,action space and the GC orbits to identify the GCs as either formed in situ(Bulge and Disk) or ex situ(via accretion).We find that 45.3% have formed in situ,while 38.4% may be related to known merger events:Gaia-Sausage-Enceladus,the Sagittarius dwarf galaxy,the Helmi streams,the Sequoia galaxy and the Kraken galaxy.We also further identify three new sub-structures associated with the Gaia-Sausage-Enceladus.The remaining 16.3% of GCs are unrelated to the known mergers and thought to be from small accretion events.We select 46 GCs which have radii 8.0 | GuangChen Sun Yougang Wang Chao Liu Richard J.Long Xuelei Chen Qi Gao | 2023 | Research in Astronomy and Astrophysics2023，23，1： | 0 |
| 12 | Linear-quadratic optimal control for partially observed forward-backward stochastic systems with random jumps显示文摘In this paper,we investigate a linear-quadratic(LQ)optimal control problem for partially observed forward-backward stochastic systems with random jumps,where the observation’s drift term is linear with respect to the state x and control variable v.In our model,the observation process is no longer a Brownian motion but a controlled stochastic process driven by Brownian motions and Poisson random measures,which also have correlated noises with the state equation.Applying a backward separation approach to decompose the state and observation,we overcome the problem of cyclic dependence of control and observation.Then,the necessary and sufficient conditions for optimal control are derived.We also obtain the feedback representation of optimal control and provide two special cases to illustrate the significance of our results.Moreover,we also provide a financial application to demonstrate the practical significance of our results. | Tian CHEN Guangchen WANG Zhen WU | 2022 | Science China(Information Sciences)2022，65，11： | 0 |
| 13 | An Algorithm for Target Detection of Engineering Vehicles Based on Improved CenterNet显示文摘Aiming at the problems of low target image resolution,insufficient target feature extraction,low detection accuracy and poor real time in remote engineering vehicle detection,an improved CenterNet target detection model is proposed in this paper.Firstly,EfficientNet-B0 with Efficient Channel Attention(ECA)module is used as the basic network,which increases the quality and speed of feature extraction and reduces the number of model parameters.Then,the proposed Adaptive Fusion Bidirectional Feature Pyramid Network(AF-BiFPN)module is applied to fuse the features of different feature layers.Furthermore,the feature information of engineering vehicle targets is added by making full use of the high-level semantic and low-level fine-grained feature information of the target,which overcomes the problem that the original CenterNet network did not perform well in small target detection and improve the detection accuracy of the network.Finally,the tag coding strategy and bounding box regression method of CenterNet are optimized by introducing positioning quality loss.The accuracy of target prediction is increased by joint prediction of center position and target size.Experimental results show that the mean Average Precision(mAP)of the improved CenterNet model is 94.74%on the engineering vehicle dataset,and the detection rate is 29 FPS.Compared with the original CenterNet model based on ResNet-18,the detection accuracy of this model is improved by 16.29%,the detection speed is increased by 9 FPS,and the memory usage is reduced by 43 MB.Compared with YOLOv3 and YOLOv4,the mAP of this model is improved by 19.9%and 5.61%respectively.The proposed method can detect engineering vehicles more quickly and accurately in far distance.It has obvious advantages in target detection compared with traditional methods. | Pingping Yu Hongda Wang Xiaodong Zhao Guangchen Ruan | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 14 | Value iteration algorithm for continuous-time linear quadratic stochastic optimal control problems显示文摘In this study,we investigate a continuous-time infinite-horizon linear quadratic stochastic optimal control problem with multiplicative noise in control and state variables.Using the techniques of stochastic stability,exact observability,and stochastic approximation,a value iteration algorithm is developed to solve the corresponding generalized algebraic Riccati equation.Unlike the existing policy iteration algorithm,this algorithm does not rely on an initial stabilizing control.Further,this algorithm can also be used to compute policy evaluation steps that arise in the policy iteration algorithm.Herein,a simulation example is provided to validate the obtained results. | Guangchen WANG Heng ZHANG | 2024 | Science China(Information Sciences)2024，67，2： | 0 |
| 15 | Dynamic Meta-Modeling Method to Assess Stochastic Flutter Behavior in Turbomachinery显示文摘With increasing design demands of turbomachinery,stochastic flutter behavior has become more prominent and even appears a hazard to reliability and safety.Stochastic flutter assessment is an effective measure to quantify the failure risk and improve aeroelastic stability.However,for complex turbomachinery with multiple dynamic influencing factors(i.e.,aeroengine compressor with time-variant loads),the stochastic flutter assessment is hard to be achieved effectively,since large deviations and inefficient computing will be incurred no matter considering influencing factors at a certain instant or the whole time domain.To improve the assessing efficiency and accuracy of stochastic flutter behavior,a dynamic meta-modeling approach(termed BA-DWTR)is presented with the integration of bat algorithm(BA)and dynamic wavelet tube regression(DWTR).The stochastic flutter assessment of a typical compressor blade is considered as one case to evaluate the proposed approach with respect to condition variabilities and load fluctuations.The evaluation results reveal that the compressor blade has 0.95% probability to induce flutter failure when operating 100% rotative rate at t=170 s.The total temperature at rotor inlet and dynamic operating loads(vibrating frequency and rotative rate)are the primary sensitive parameters on flutter failure probability.Bymethod comparisons,the presented approach is validated to possess high-accuracy and highefficiency in assessing the stochastic flutter behavior for turbomachinery. | Bowei Wang Wenzhong Tang Lukai Song Guangchen Bai | 2022 | Computer Modeling in Engineering & Sciences2022，，10： | 0 |
| 16 | CNN-LSTM based on attention mechanism for brake pad remaining life prediction显示文摘In order to predict the remaining service life of brake pads accurately and efficiently,and to achieve intelligent warning,this paper proposes a CNN-LSTM brake pad remaining life prediction model based on an attention mechanism.The model constructs a non-linear relationship between brake pad features such as brake temperature,brake oil pressure and brake speed and brake pad wear data through convolutional neural network(CNN)and long and short term memory network(LSTM),as well as capturing the time dependence that exists in the brake pad wear sequence.The attention mechanism is also introduced to assign different weight values to the features output from multiple historical moments,highlighting the features with high saliency and avoiding the influence of invalid features,so as to improve the prediction effect of the remaining brake pad life.The results show that the proposed CNN-LSTM-Attention model can effectively predict the remaining life of brake pads,with the mean absolute error MAE value of 0.0048,root mean square error RMSE value of 0.0059 and coefficient of determination R2 value of 0.9636;and compared with the BP model,CNN model,LSTM model and CNN-LSTM model,the coefficient of determination R2 values are closest to 1,with an improvement of 8.26%,5.25%,3.99%and 1.85%respectively,enabling more effective monitoring and intelligent warning of the remaining brake pad life. | Shuo WANG Zhenliang YU Guangchen XU Sisi CHEN | 2022 | Mechanical Engineering Science2022，4，2： | 0 |
| 17 | Optimal Operation Strategy of Electricity-Hydrogen Regional Energy System under Carbon-Electricity Market Trading显示文摘Given the“double carbon”objective and the drive toward low-carbon power,investigating the integration and interaction within the carbon-electricity market can enhance renewable energy utilization and facilitate energy conservation and emission reduction endeavors.However,further research is necessary to explore operational optimization methods for establishing a regional energy system using Power-to-Hydrogen(P2H)technology,focusing on participating in combined carbon-electricity market transactions.This study introduces an innovative Electro-Hydrogen Regional Energy System(EHRES)in this context.This system integrates renewable energy sources,a P2H system,cogeneration units,and energy storage devices.The core purpose of this integration is to optimize renewable energy utilization and minimize carbon emissions.This study aims to formulate an optimal operational strategy for EHRES,enabling its dynamic engagement in carbon-electricity market transactions.The initial phase entails establishing the technological framework of the electricity-hydrogen coupling system integrated with P2H.Subsequently,an analysis is conducted to examine the operational mode of EHRES as it participates in carbon-electricity market transactions.Additionally,the system scheduling model includes a stepped carbon trading price mechanism,considering the combined heat and power generation characteristics of the Hydrogen Fuel Cell(HFC).This facilitates the establishment of an optimal operational model for EHRES,aiming to minimize the overall operating cost.The simulation example illustrates that the coordinated operation of EHRES in carbon-electricity market transactions holds the potential to improve renewable energy utilization and reduce the overall system cost.This result carries significant implications for attaining advantages in both low-carbon and economic aspects. | Jingyu Li Mushui Wang Zhaoyuan Wu Guizhen Tian Na Zhang Guangchen Liu | 2024 | Energy Engineering2024，121，3： | 0 |
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