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Journal of Ocean University of China 2024年第2期23卷 447-454页

作者： ZHAO Xuning zhang zhiming ZHAO Yangguo MUPINDU Progress Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering(MEGE) College of Environmental Science and EngineeringOcean University of ChinaQingdao 266100China Key Laboratory of Marine Environmental Science and Ecology(Ocean University of China) Ministry of EducationQingdao 266100China

The production of toxic sulfides is a common environmental problem in mariculture.Therefore,the effective inhibition of sulfidogens is the key to prevent sulfides production.In this study,the possibility and mechanism of nitrate(NO_(3)^(−))inhibiting the activity of the sulfate-reducing microbiota(SRM)from mariculture sediments was investigated.The results showed that 1,3,and 5 mmol L^(−1)NO_(3)^(−)continuously inhibited sulfide production for 1-3 d.As NO_(3)^(−) dosage increased to 7 mmol L^(−1),the duration of inhibition increased to 6 days.Denitrifying product NO_(2)^(−)heavily inhibited the activity of dissimilar sulfate reductase gene(dsrB)by 3 orders,which was the main reason that the sulfate-reducing activity was inhibited.The SRM structure changed significantly with the dosage of NO_(3)^(−),while the abundance of sulfidogens Desulfovibrio species increased due to their capability of detoxifying nitrite through nitrite reductase.Hence,sulfidogens Desulfovibrio species are more adaptable to a high nitrate/nitrite environment,and the traditional control strategies by dosing nitrate/nitrite should be paid more attention to.The findings will serve as helpful guidelines for sulfate-reducing microbiota in the habitat of mariculture to reduce their generation of poisonous sulfide.

关键词： sulfate-reducing microbiota sulfide nitrate Desulfovibrio mariculture

Spatiotemporal Characteristics of Typical Ecosystem Services and Their Spatial Responses to Driving Factors in Ecologically Fragile Areas in Upper Yellow River,China

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Chinese Geographical Science 2024年第4期34卷 674-688页

作者： LIANG Gui FANG Fengman LIN Yuesheng zhang zhiming School of Geography and Tourism Anhui Normal UniversityWuhu 241003China Key Laboratory of Earth Surface Processes and Regional Response in the Yangtze Huaihe River Basin Anhui Normal UniversityWuhu 241003China

The identification of dominant driving factors for different ecosystem services(ESs)is crucial for ecological conservation and sustainable development.However,the spatial heterogeneity of the dominant driving factors affecting various ESs has not been adequately elucidated,particularly in ecologically fragile regions.This study employed the integrated valuation of ESs and trade-offs(InVEST)model to evaluate four ESs,namely,water yield(WY),soil conservation(SC),habitat quality(HQ),and carbon storage(CS),and then to identify the dominant driving factors of spatiotemporal differentiation of ES and further to characterize the spatial heterogeneity characteristics of the dominant driving factors in the eco-fragile areas of the upper Yellow River,China from 2000 to 2020.The results demonstrated that WY exhibited northeast-high and northwest-low patterns in the upper Yellow River region,while high values of SC and CS were distributed in central forested areas and a high value of HQ was distributed in vast grassland areas.The CS,WY,and SC exhibited decreasing trends over time.The most critical factors affecting WY,SC,HQ,and CS were the actual evapotranspiration,precipitation,slope,and normalized difference vegetation index,respectively.In addition,the effects of different factors on various ESs exhibited spatial heterogeneity.These results could provide spatial decision support for eco-protection and rehabilitation in ecologically fragile areas.

关键词： integrated valuation of ecosystem services and trade-offs(InVEST)model geographically weighted regression(GWR) natural factor spatial heterogeneity Lanxi urban agglomeration upper Yellow River China

Mapping Network-Coordinated Stacked Gated Recurrent Units for Turbulence Prediction

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1331-1341页

作者： zhiming zhang Shangce Gao MengChu Zhou Mengtao Yan Shuyang Cao Faculty of Engineering University of ToyamaToyama 930-8555Japan Helen and John C.Hartmann Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA Gaoling School of Artificial Intelligence Renmin University of ChinaBeijing 100872China College of Civil Engineering Tongji UniversityShanghai 200092China IEEE

Accurately predicting fluid forces acting on the sur-face of a structure is crucial in engineering design.However,this task becomes particularly challenging in turbulent flow,due to the complex and irregular changes in the flow field.In this study,we propose a novel deep learning method,named mapping net-work-coordinated stacked gated recurrent units(MSU),for pre-dicting pressure on a circular cylinder from velocity data.Specifi-cally,our coordinated learning strategy is designed to extract the most critical velocity point for prediction,a process that has not been explored before.In our experiments,MSU extracts one point from a velocity field containing 121 points and utilizes this point to accurately predict 100 pressure points on the cylinder.This method significantly reduces the workload of data measure-ment in practical engineering applications.Our experimental results demonstrate that MSU predictions are highly similar to the real turbulent data in both spatio-temporal and individual aspects.Furthermore,the comparison results show that MSU predicts more precise results,even outperforming models that use all velocity field points.Compared with state-of-the-art methods,MSU has an average improvement of more than 45%in various indicators such as root mean square error(RMSE).Through comprehensive and authoritative physical verification,we estab-lished that MSU’s prediction results closely align with pressure field data obtained in real turbulence fields.This confirmation underscores the considerable potential of MSU for practical applications in real engineering scenarios.The code is available at https://***/zhangzm0128/MSU.

关键词： Convolutional neural network deep learning recurrent neural network turbulence prediction wind load predic-tion.

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Dendritic Learning-Incorporated Vision Transformer for Image Recognition

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 539-541页

作者： zhiming zhang Zhenyu Lei Masaaki Omura Hideyuki Hasegawa Shangce Gao Faculty of Engineering University of ToyamaToyama-shi 930-8555Japan IEEE

Dear Editor,This letter proposes to integrate dendritic learnable network architecture with Vision Transformer to improve the accuracy of image recognition.In this study,based on the theory of dendritic neurons in neuroscience,we design a network that is more practical for engineering to classify visual features.Based on this,we propose a dendritic learning-incorporated vision Transformer(DVT),which out-performs other state-of-the-art methods on three image recognition benchmarks.

关键词： Image network image

Dendritic Deep Learning for Medical Segmentation

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 803-805页

作者： Zhipeng Liu zhiming zhang Zhenyu Lei Masaaki Omura Rong-Long Wang Shangce Gao the Faculty of Engineering University of ToyamaToyama-shi 930-8555Japan the Faculty of Engineering University of FukuiFukui-shi 910-8507Japan IEEE

Dear Editor,This letter presents a novel segmentation approach that leverages dendritic neurons to tackle the challenges of medical imaging segmentation.In this study,we enhance the segmentation accuracy based on a SegNet variant including an encoder-decoder structure,an upsampling index,and a deep supervision method.Furthermore,we introduce a dendritic neuron-based convolutional block to enable nonlinear feature mapping,thereby further improving the effectiveness of our approach.

关键词： thereby Deep enable

Belowground Bud Bank Is Insensitive to Short-Term Nutrient Addition in the Meadow Steppe of Inner Mongolia

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1129-1141页

作者： Jin Tao Jiatai Tian Dongmei Li Jinlei Zhu Qun Ma zhiming zhang Jungang Chen Yipeng Liu Jianqiang Qian College of Forestry Henan Agricultural UniversityZhengzhou450002China Institute of Ecological Conservation and Restoration Chinese Academy of ForestryBeijing100093China Institute of Applied Ecology Chinese Academy of SciencesShenyang110164China Institute of Botany Chinese Academy of SciencesBeijing100093China Liaoning Metallurgical Geological Exploration Research Institute Co. Anshan114038China

Human activities and industrialization have signiﬁcantly increased soil nutrients,such as nitrogen(N)and phos-phorus(P),profoundly impacting the composition and structure of plant community,as well as the ecosystem functions,especially in nutrient-limited ecosystems.However,as the key propagule pool of perennial grasslands,how belowground bud bank and its relationship with aboveground vegetation respond to short-term changes in soil nutrients was still unclear.In this study,we conducted a short-term(2021–2022)soil fertilization experiment with N addition(10 g N m^(-2) yr^(-1))and P addition(5 g N m^(-2) yr^(-1))in the meadow steppe of Inner Mongolia,China,to explore the responses of belowground bud bank,aboveground shoot population and their relationships(represented by the ratio of bud to shoot density-meristem limitation index(MLI))for the whole community and three plant functional groups(perennial rhizomatous grasses-PR,perennial bunchgrasses-PB,and perennial forbs-PF)to nutrient addition.The short-term nutrient addition had no signiﬁcant inﬂuences on belowground bud density,aboveground shoot density,and MLI of the whole plant community.Plant functional groups showed different responses to soil fertilization.Speciﬁcally,N addition signiﬁcantly increased the bud density and shoot density of PR,especially in combination with P addition.N addition reduced the shoot density of PF but had no inﬂuence on its bud density and MLI.Nutrient addition had signiﬁcant effects on the three indicators of PB.Our study indicates that the belowground bud bank and its relationship with aboveground vegetation in temperate meadow steppe are insensitive to short-term soil fertilization,but plant functional groups exhibit speciﬁc responses in terms of population regeneration,which implies that plant community composition and ecosystem functions will be changed under the ongoing global change.

关键词： Clonal trait population regeneration community dynamics soil resource availability nitrogen addition

A novel engineered IL-21 receptor arms T-cell receptor-engineered T cells(TCR-T cells)against hepatocellular carcinoma

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2215-2230页

作者： Wei Zhu zhiming zhang Jinzhang Chen Xiaolan Chen Lei Huang Xiaoyong zhang Xuan Huang Na Ma Weikang Xu Xuan Yi Xinyu Lu Xin Fu Siwei Li Guoheng Mo Yiyue Wang Guosheng Yuan Mengya Zang Qi Li Xiaotao Jiang Yajing He Sha Wu Yukai He Yongyin Li Jinlin Hou State Key Laboratory of Organ Failure Research Guangdong Provincial Key Laboratory of Viral Hepatitis ResearchDepartment of Infectious DiseasesNanfang HospitalSouthern Medical UniversityGuangzhouChina Institute of Cellular Medicine Newcastle University Medical SchoolNewcastleUK Department of Pathology The First People’s Hospital of FoshanFoshanChina Dermatology Hospital Southern Medical UniversityGuangzhouChina Department of Immunology School of Basic Medical SciencesSouthern Medical UniversityGuangzhouChina Microbiome Medicine Center Department of Laboratory MedicineZhujiang HospitalSouthern Medical UniversityGuangzhouChina Key Laboratory of Proteomics of Guangdong Province Demonstration Center for Experimental Education of Basic Medical Sciences of ChinaGuangzhouChina Medical College of Georgia Augusta University112015th StreetAugustaGAUSA

Strategies to improve T cell therapy efficacy in solid tumors such as hepatocellular carcinoma(HCC)are urgently needed.The common cytokine receptorγchain(γc)family cytokines such as IL-2,IL-7,IL-15 and IL-21 play fundamental roles in T cell development,differentiation and effector phases.This study aims to determine the combination effects of IL-21 in T cell therapy against HCC and investigate optimized strategies to utilize the effect of IL-21 signal in T cell therapy.The antitumor function of AFP-specific T cell receptor-engineered T cells(TCR-T)was augmented by exogenous IL-21 in vitro and in vivo.IL-21 enhanced proliferation capacity,promoted memory differentiation,downregulated PD-1 expression and alleviated apoptosis in TCR-T after activation.A novel engineered IL-21 receptor was established,and TCR-T armed with the novel engineered IL-21 receptors(IL-21R-TCR-T)showed upregulated phosphorylated STAT3 expression without exogenous IL-21 ligand.IL-21R-TCR-T showed better proliferation upon activation and superior antitumor function in vitro and in vivo.IL-21R-TCR-T exhibited a less differentiated,exhausted and apoptotic phenotype than conventional TCR-T upon repetitive tumor antigen stimulation.The novel IL-21 receptor in our study programs powerful TCR-T and can avoid side effects induced by IL-21 systemic utilization.The novel IL-21 receptor creates new opportunities for next-generation TCR-T against HCC.

关键词： hepatocellular TCR utilize

Performance Evaluation and Microbial Shift of Sequencing Batch Biofilm Reactor Treating Synthetic Mariculture Wastewater Under Different Dissolved Oxygen at Aerobic Phase

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Journal of Ocean University of China 2023年第6期22卷 1692-1701页

作者： HUO Siyue LIU Wenjie ZHAO Changkun LU Shuailing WANGQianzhi SHE Zonglian ZHAO Yangguo zhang zhiming GUO liang JI Junyuan JIN Chunji GAO Mengchun Key Lab of Marine Environment and Ecology Ministry of EducationOcean University of ChinaQingdao 266100China Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering Qingdao 266061China College of Environmental Science and Engineering Ocean University of ChinaQingdao 266100China

The impact of dissolved oxygen(DO)at aerobic phase on the nitrogen removal,extracellular polymeric substances(EPS),microbial activity and microbial community of sequencing batch biofilm reactor(SBBR)have been evaluated in treating mariculture wastewater.The oxygen uptake rate and nitrification rate declined with DO concentration from 3–4 to 1–1.5mgL^(-1),whereas the denitrification rate had an increment.The activities of nitrifying enzymes reduced with the decrease of DO concentration at aerobic phase,but those of denitrifying enzymes illustrated opposite results.The nitrification and denitrification rates displayed the similar variation tendency with the relevant enzymatic activities as DO concentration decreased.The protein(PN)and polysaccharide(PS)content in EPS decreased as DO concentration declined,whereas the PN/PS ratio increased.The microbial community showed obvious difference as DO concentration decreased from 3–4 to 1–1.5mgL^(-1).The microbial co-occurrence,keystone taxa and sig-nificant difference illustrated some variations at different DO concentrations.

关键词： SBBR mariculture wastewater DO concentration microbial activity microbial community

基于动态自适应图神经网络的电动汽车充电负荷预测

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电力系统自动化 2024年第7期48卷 86-93页

作者：张延宇张智铭刘春阳张西镚周毅河南大学人工智能学院河南省郑州市450046 河南省车联网协同技术国际联合实验室河南省郑州市450046

电动汽车充电站负荷波动的不确定性与长时间预测任务给提升充电负荷预测精度带来巨大的挑战。文中提出一种基于动态自适应图神经网络的电动汽车充电负荷预测算法。首先,构建了一个充电负荷信息时空关联特征提取层,将多头注意力机制与自... 详细信息

电动汽车充电站负荷波动的不确定性与长时间预测任务给提升充电负荷预测精度带来巨大的挑战。文中提出一种基于动态自适应图神经网络的电动汽车充电负荷预测算法。首先,构建了一个充电负荷信息时空关联特征提取层,将多头注意力机制与自适应相关图结合生成具有时空关联性的综合特征表达式,以捕获充电站负荷的波动性;然后,将提取的特征输入到时空卷积层,捕获时间和空间之间的耦合关系;最后,通过切比雪夫多项式图卷积与多尺度时间卷积提升模型耦合长时间序列之间的能力。以Palo Alto数据集为例,与现有方法相比,所提算法在4种波动情况下的平均预测误差大幅降低。

关键词：电动汽车负荷预测时空关联特征自适应图神经网络注意力机制时空卷积层

Determining the state of a three-level atom by interaction with two radiation fields

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Science China(Physics,Mechanics & Astronomy) 2013年第8期56卷 1478-1486页

作者： LI ShuQing YU YaFei zhang zhiming Laboratory of Nanophotonic Functional Materials and Devices LQIT & SIPSESouth China Normal University

An unknown state of a quantum system S is usually determined by repeatedly measuring a set of non-commuting observables. The state can also be obtained from the repeated measurements of a single separable observable when the system S interacts with an assistant system A in a known state. In this paper, we study the quantum state tomography of a three-level atom (the system S ) interacting with two radiation fields as the assistant system A. We obtain the initial state of S by repeatedly measuring a separable observable =zn1n2, in which z is the atom operator, and n 1 and n 2 are the photon number operators of the two radiation fields. We achieve the one-to-one mapping M between the initial density matrix of the system S and the measured results of the single separable observable. We also give a concrete numerical example.

关键词：原子状态相互作用辐射场重复测量量子系统层析成像系统辅助系统三能级原子