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aBIOTECH 2023年第4期4卷 303-314页

作者： Xiao-Yu Huang Ying Xiang Yu-Wen Zhao chu-kun wang Jia-Hui wang Wen-Yan wang Xiao-Long Liu Quan Sun Da-Gang Hu National Research Center for Apple Engineering and Technology Shandong Collaborative Innovation Center of Fruit and Vegetable Quality and Efficient ProductionCollege of Horticulture Science and EngineeringShandong Agricultural UniversityTai’an 271018ShandongChina

As the main organic acid in fruits,malate is produced in the cytoplasm and is then transported into the *** accumulates by vacuolar proton pumps,transporters,and channels,affecting the taste and flavor of *** the three types of proton pumps(V-ATPases,V-PPases,and P-ATPases),the P-ATPases play an important role in the transport of malate into *** this study,the transcriptome data,collected at different stages after blooming and during storage,were analyzed and the results demonstrated that the expression of MdPH5,a vacuolar proton-pumping P-ATPase,was associated with both pre-and post-harvest malate ***,MdPH5 is localized at the tonoplast and regulates malate accumulation and vacuolar *** addition,MdMYB73,an upstream MYB transcription factor of MdPH5,directly binds to its promoter,thereby transcriptionally activating its expression and enhancing its *** this way,MdMYB73 can also affect malate accumulation and vacuolar ***,this study clarifies how MdMYB73 and MdPH5 act to regulate vacuolar malate transport systems,thereby affecting malate accumulation and vacuolar pH.

关键词： Apple Malate accumulation P-ATPase MdPH5 MdMYB73

MdbHLH3 modulates apple soluble sugar content by activating phosphofructokinase gene expression

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Journal of Integrative Plant Biology 2022年第4期64卷 884-900页

作者： Jian-Qiang Yu Kai-Di Gu Li-Li Zhang Cui-Hui Sun Quan-Yan Zhang Jia-Hui wang chu-kun wang Wen-Yan wang Meng-Chi Du Da-Gang Hu National Key Laboratory of Crop Biology College of Horticulture Science and EngineeringShandong Agricultural UniversityTai'an 271018China College of Resources and Environment Linyi UniversityLinyi 276005China MOA Key Laboratory of Horticultural Crop Biology and Germplasm Innovation Tai'an 271018China Shandong Collaborative Innovation Center for Fruit and Vegetable Production with High Quality and Efficiency Tai'an 271018China

Sugars are involved in plant growth,fruit quality,and signaling ***,understanding the mechanisms involved in soluble sugar accumulation is essential to understand fruit ***,we report that Md PFPβ,a pyrophosphatedependent phosphofructokinase gene,regulates soluble sugar accumulation by enhancing the photosynthetic performance and sugar-metabolizing enzyme activities in apple(Malus domestica Borkh.).Biochemical analysis revealed that a basic helix-loop-helix(b HLH)transcription factor,Mdb HLH3,binds to the Md PFPβpromoter and activates its expression,thus promoting soluble sugar accumulation in apple *** addition,Md PFPβoverexpression in tomato influenced photosynthesis and carbon metabolism in the ***,we determined that Mdb HLH3 increases photosynthetic rates and soluble sugar accumulation in apple by activating Md PFPβ*** results thus shed light on the mechanism of soluble sugar accumulation in apple leaves and fruit:Mdb HLH3 regulates soluble sugar accumulation by activating Md PFPβgene expression and coordinating carbohydrate allocation.

关键词： apple bHLH fructose 6-phosphate fruit quality phosphofructokinase soluble sugars

Yang cycle enzyme DEP1: its moonlighting functions in PSI and ROS production during leaf senescence

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Molecular Horticulture 2022年第1期2卷 133-148页

作者： chu-kun wang Xiu-Ming Li Fang Dong Cui-Hui Sun Wen-Li Lu Da-Gang Hu National Key Laboratory of Crop Biology MOA Key Laboratory of Horticultural Crop Biology and Germplasm InnovationCollege of Horticulture Science and EngineeringShandong Agricultural UniversityTai’an 271018ShandongChina Shandong Institute of Pomology Key Laboratory for Fruit Biotechnology Breeding of ShandongTai’an 271000ShandongChina

Ethylene-mediated leaf senescence and the compromise of photosynthesis are closely associated but the underlying molecular mechanism is a *** we reported that apple DEHYDRATASE-ENOLASE-PHOSPHATASE-COMPLEX1(MdDEP1),initially characterized to its enzymatic function in the recycling of the ethylene precursor SAM,plays a role in the regulation of photosystem I(PSI)activity,activating reactive oxygen species(ROS)homeostasis,and negatively regulating the leaf senescence.A series of Y2H,Pull-down,CO-IP and Cell-free degradation biochemical assays showed that MdDEP1 directly interacts with and dephosphorylates the nucleus-encoded thylakoid protein MdY3IP1,leading to the destabilization of MdY3IP1,reduction of the PSI activity,and the overproduction of ROS in plant *** findings elucidate a novel mechanism that the two pathways intersect at MdDEP1 due to its moonlighting role in destabilizing MdY3IP1,and synchronize ethylene-mediated leaf senescence and the compromise of photosynthesis.

关键词： DEHYDRATASE-ENOLASE-PHOSPHATASE-COMPLEX1 Yang cycle Photosystem I ROS Leaf senescence Photosynthesis

Semi-supervised remote sensing image scene classification with prototype-based consistency

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Chinese Journal of Aeronautics 2024年第2期37卷 459-470页

作者： Yang LI Zhang LI Zi wang kun wang Qifeng YU College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China

Deep learning significantly improves the accuracy of remote sensing image scene classification,benefiting from the large-scale ***,annotating the remote sensing images is time-consuming and even tough for *** neural networks trained using a few labeled samples usually generalize less to new unseen *** this paper,we propose a semi-supervised approach for remote sensing image scene classification based on the prototype-based consistency,by exploring massive unlabeled *** this end,we,first,propose a feature enhancement module to extract discriminative *** is achieved by focusing the model on the foreground ***,the prototype-based classifier is introduced to the framework,which is used to acquire consistent feature *** conduct a series of experiments on NWPU-RESISC45 and Aerial Image Dataset(AID).Our method improves the State-Of-The-Art(SOTA)method on NWPU-RESISC45 from 92.03%to 93.08%and on AID from 94.25%to 95.24%in terms of accuracy.

关键词： Semi-supervised learning Remote sensing Scene classification Prototype network Deep learning

Numerical and experimental investigation into the evolution of the shock wave when a muzzle jet impacts a constrained moving body

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Defence Technology（防务技术） 2024年第3期33卷 317-326页

作者： Zijie Li Hao wang Changshun Chen kun Jiang School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing 210016China

The gun-track launch system is a new special launch device that connects the track outside the *** it is constrained by the track,the characteristics of development of the muzzle jet differ from those of the traditional muzzle ***,it changes from freely developing to doing so in a constrained manner,where this results in an asymmetric direction of flow as well as spatio-temporal coupling-induced interference between various shock waves and the formation of *** this background,the authors of this article formulate and consider the development and characteristics of evolution of the muzzle jet as it impacts a constrained moving *** designed simulations to test the gun-track launch system,and established a numerical model based on the dynamic grid method to explore the development and characteristics of propagation of disturbances when the muzzle jet impacted a constrained moving *** also considered models without a constrained track for the sake of *** results showed that the muzzle jet assumed a circumferential asymmetric shape,and tended to develop in the area above the *** the test platform was close to the ground,the muzzle jet was subjected to reflections from it that enhanced the development and evolution of various forms of shock waves and vortices in the muzzle jet to exacerbate its rate of distortion and asymmetric *** in turn led to significant differences in the changes in pressure at symmetric points that would otherwise have been *** results of a comparative analysis showed that the constrained track could hinder the influence of reflections from the ground on the muzzle jet to some extent,and could reduce the velocity of the shock waves inducing the motion of the muzzle as well as the Mach number of the moving *** work here provides a theoretical basis and the requisite technical support for applications of the gun-track launch *** also sheds light on the

关键词： Shock wave/vortex interference Muzzle jet Constrained boundary Dynamic grid

Differentially private SGD with random features

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Applied Mathematics(A Journal of Chinese Universities) 2024年第1期39卷 1-23页

作者： wang Yi-guang GUO Zheng-chu Polytechnic Institute of Zhejiang University Zhejiang UniversityHangzhou 310015China School of Mathematical Sciences Zhejiang UniversityHangzhou 310058China

In the realm of large-scale machine learning,it is crucial to explore methods for reducing computational complexity and memory demands while maintaining generalization ***,since the collected data may contain some sensitive information,it is also of great significance to study privacy-preserving machine learning *** paper focuses on the performance of the differentially private stochastic gradient descent(SGD)algorithm based on random *** begin,the algorithm maps the original data into a lowdimensional space,thereby avoiding the traditional kernel method for large-scale data storage ***,the algorithm iteratively optimizes parameters using the stochastic gradient descent ***,the output perturbation mechanism is employed to introduce random noise,ensuring algorithmic *** prove that the proposed algorithm satisfies the differential privacy while achieving fast convergence rates under some mild conditions.

关键词： learning theory differential privacy stochastic gradient descent random features reproducing kernel Hilbert spaces

Topology Optimization of Two Fluid Heat Transfer Problems for Heat Exchanger Design

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1949-1974页

作者： kun Yan Yunyu wang Jun Yan School of Chemical Engineering Dalian University of TechnologyDalian116024China Jianghuai Advanced Technology Center Hefei230000China State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsInternational Research Center for Computational MechanicsDalian University of TechnologyDalian116024China

Topology optimization of thermal-fluid coupling problems has received widespread *** article proposes a novel topology optimization method for laminar two-fluid heat exchanger *** proposed method utilizes an artificial density field to create two permeability interpolation functions that exhibit opposing trends,ensuring separation between the two fluid ***,a Gaussian function is employed to construct an interpolation function for the thermal conductivity ***,a computational program has been developed on the OpenFOAM platform for the topology optimization of two-fluid heat *** program leverages parallel computing,significantly reducing the time required for the topology optimization *** enhance computational speed and reduce the number of constraint conditions,we replaced the conventional pressure drop constraint condition in the optimization problem with a pressure inlet/outlet boundary *** 3D optimization results demonstrate the characteristic features of a surface structure,providing valuable guidance for designing heat exchangers that achieve high heat exchange efficiency while minimizing excessive pressure *** the same time,a new structure appears in large-scale topology optimization,which proves the effectiveness and stability of the topology optimization program written in this paper in large-scale calculation.

关键词： Topology optimization two fluid heat exchanger OpenFOAM large scale

Using MsfNet to Predict the ISUP Grade of Renal Clear Cell Carcinoma in Digital Pathology Images

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Computers, Materials & Continua 2024年第1期78卷 393-410页

作者： kun Yang Shilong Chang Yucheng wang Minghui wang Jiahui Yang Shuang Liu kun Liu Linyan Xue College of Quality and Technical Supervision Hebei UniversityBaoding071002China National and Local Joint Engineering Research Center of Metrology Instrument and System Hebei UniversityBaoding071002China Hebei Technology Innovation Center for Lightweight of New Energy Vehicle Power System Hebei UniversityBaoding071002China

Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment *** study presents a new deep network called Multi-scale Fusion Network(MsfNet),which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology *** MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel *** model was trained and tested using 90 Hematoxylin and Eosin(H&E)stained whole slide images(WSIs),which were all cropped into 320×320-pixel patches at 40×*** achieved a micro-averaged area under the curve(AUC)of 0.9807,a macro-averaged AUC of 0.9778 on the test *** Gradient-weighted Class Activation Mapping(Grad-CAM)visually demonstrated MsfNet’s ability to distinguish and highlight abnormal areas more effectively than *** t-Distributed Stochastic Neighbor Embedding(t-SNE)plot indicates our model can efficiently extract critical features from images,reducing the impact of noise and redundant *** results suggest that MsfNet offers an accurate ISUP grade of ccRCC in digital images,emphasizing the potential of AI-assisted histopathological systems in clinical practice.

关键词： Renal cell carcinoma computer-aided diagnosis pathology image deep learning machine learning

Strigolactone regulates nitrogen-phosphorus balance in rice

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Science China(Life Sciences) 2024年第2期67卷 428-430页

作者： Huwei Sun Hanyun wang Chengcai chu Guangdong Provincial Key Laboratory of Plant Molecular Breeding College of AgricultureSouth China Agricultural UniversityGuangzhou 510642China Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China Ministry of Agriculture and Rural AffairsSouth China Agricultural UniversityGuangzhou 510642China Guangdong Laboratory for Lingnan Modern Agriculture Guangzhou 510642

Phosphorus(P) is one of the essential elements for growth and development of *** agriculture depends heavily on the application of large amounts of fertilizers,including P *** application of P fertilizers causes sever... 详细信息

关键词： pollution phosphorus fertilizers

Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1591-1604页

作者： kun Jiang Wenzhang Liu Yuanda wang Lu Dong Changyin Sun the School of Automation Southeast UniversityNanjing 210096China the School of Artificial Intelligence Anhui UniversityHefei 230601China IEEE the School of Cyber Science and Engineering Southeast UniversityNanjing 211189China the Engineering Research Center of Autonomous Unmanned System Technology Ministry of EducationHefei 230601China

Efficient exploration in complex coordination tasks has been considered a challenging problem in multi-agent reinforcement learning(MARL). It is significantly more difficult for those tasks with latent variables that agents cannot directly observe. However, most of the existing latent variable discovery methods lack a clear representation of latent variables and an effective evaluation of the influence of latent variables on the agent. In this paper, we propose a new MARL algorithm based on the soft actor-critic method for complex continuous control tasks with confounders. It is called the multi-agent soft actor-critic with latent variable(MASAC-LV) algorithm, which uses variational inference theory to infer the compact latent variables representation space from a large amount of offline ***, we derive the counterfactual policy whose input has no latent variables and quantify the difference between the actual policy and the counterfactual policy via a distance function. This quantified difference is considered an intrinsic motivation that gives additional rewards based on how much the latent variable affects each agent. The proposed algorithm is evaluated on two collaboration tasks with confounders, and the experimental results demonstrate the effectiveness of MASAC-LV compared to other baseline algorithms.

关键词： Latent variable model maximum entropy multi-agent reinforcement learning(MARL) multi-agent system