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熔盐球床堆堆芯入口热工水力特性数值分析

核技术 2017年第9期40卷 59-67页

作者：冯权胜徐博潘登邹杨徐洪杰中国科学院上海应用物理研究所嘉定园区上海201800 中国科学院大学北京100049 核动力运行研究所武汉430223

堆芯入口流场设计是小型固态燃料熔盐堆系统项目内容之一,它对反应堆结构的稳定性、堆芯温度和流场分布有着非常重要的影响。研究了熔盐流道流通面积变化对堆芯入口温度、流场分布及压降的影响,优化熔盐流道几何结构。以小型熔盐球床堆... 详细信息

堆芯入口流场设计是小型固态燃料熔盐堆系统项目内容之一,它对反应堆结构的稳定性、堆芯温度和流场分布有着非常重要的影响。研究了熔盐流道流通面积变化对堆芯入口温度、流场分布及压降的影响,优化熔盐流道几何结构。以小型熔盐球床堆模型为研究对象,取符合实际边界条件的输入参数,通过改变熔盐流道流通面积,使用计算流体力学(Computational Fluid Dynamics,CFD)通用程序Fluent 16.0对堆芯入口内熔盐的热工水力特性进行数值模拟。在考虑实际下反射层流道的流通面积占比最大为18.14%下,研究了熔盐流道流通面积占比在区间[0,15.00%]变化。结果表明,堆芯活性区熔盐最高局部热点温度随熔盐流道流通面积比的增大而增高;堆芯入口内的压降随下反射层熔盐流道流通面积比的减小而增大;在径向方向上流进孔道的熔盐流速随着孔道远离堆芯位置而增大。本研究可为小型固态燃料球床熔盐堆优化设计提供一定的参考价值。

关键词：固态熔盐堆入口流量分配熔盐流道热工水力

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun xu Delong Jiang Jiayang Hou Ying Liang Zhongyue zou xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

Induced neural stem cells regulate microglial activation through Akt-mediated upregulation of CXCR4 and Crry in a mouse model of closed head injury

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Neural Regeneration Research 2025年第5期20卷 1416-1430页

作者： Mou Gao Qin Dong Dan zou Zhijun Yang Lili Guo Ruxiang xu Department of Neurosurgery Sichuan Academy of Medical Sciences and Sichuan Provincial People’s HospitalSchool of MedicineUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Neurosurgery Chinese PLA General HospitalBeijingChina Department of Neurology Fu Xing HospitalCapital Medical UniversityBeijingChina

Microglial activation that occurs rapidly after closed head injury may play important and complex roles in neuroinflammation-associated neuronal damage and *** previously reported that induced neural stem cells can modulate the behavior of activated microglia via CXCL12/CXCR4 signaling,influencing their activation such that they can promote neurological ***,the mechanism of CXCR4 upregulation in induced neural stem cells remains *** this study,we found that nuclear factor-κB activation induced by closed head injury mouse serum in microglia promoted CXCL12 and tumor necrosis factor-αexpression but suppressed insulin-like growth factor-1 ***,recombinant complement receptor 2-conjugated Crry(CR2-Crry)reduced the effects of closed head injury mouse serum-induced nuclear factor-κB activation in microglia and the levels of activated microglia,CXCL12,and tumor necrosis factor-α.Additionally,we observed that,in response to stimulation(including stimulation by CXCL12 secreted by activated microglia),CXCR4 and Crry levels can be upregulated in induced neural stem cells via the interplay among CXCL12/CXCR4,Crry,and Akt signaling to modulate microglial *** agreement with these in vitro experimental results,we found that Akt activation enhanced the immunoregulatory effects of induced neural stem cell grafts on microglial activation,leading to the promotion of neurological recovery via insulin-like growth factor-1 secretion and the neuroprotective effects of induced neural stem cell grafts through CXCR4 and Crry upregulation in the injured cortices of closed head injury ***,these beneficial effects of Akt activation in induced neural stem cells were positively correlated with the therapeutic effects of induced neural stem cells on neuronal injury,cerebral edema,and neurological disorders post–closed head *** conclusion,our findings reveal that Akt activation may enhance the immunoregulatory effects of induced neura

关键词： Akt signaling cerebral edema closed head injury Crry CXCR4 induced neural stem cell microglia neuroinflammation

Targets capture by distributed active swarms via bio-inspired reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun xu Yue Li Jun Sun Shuyuan Du Xinpeng Di Yuguang Yang bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics

Catalyst–Support Interaction in Polyaniline‑Supported Ni_(3)Fe Oxide to boost Oxygen Evolution Activities for Rechargeable Zn‑Air Batteries

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Nano-Micro Letters 2025年第1期17卷 176-190页

作者： Xiaohong zou Qian Lu Mingcong Tang Jie Wu Kouer Zhang Wenzhi Li Yunxia Hu Xiaomin xu Xiao Zhang Zongping Shao Liang An Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and TechnologyNanjing University of Information Science and TechnologyNanjing 210044People’s Republic of China Department of Chemistry The Chinese University of Hong KongMa Lin BuildingShatinHong Kong SAR 999077People’s Republic of China WA School of Mines:Minerals Energy and Chemical Engineering(WASM‑MECE)Curtin UniversityPerthWA 6102Australia Research Institute for Advanced Manufacturing The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Research Institute for Smart Energy The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China

Catalyst–support interaction plays a crucial role in improving the catalytic activity of oxygen evolution reaction(OER).Here we modulate the catalyst–support interaction in polyaniline-supported Ni_(3)Fe oxide(Ni_(3)Fe oxide/PANI)with a robust hetero-interface,which significantly improves oxygen evolution activities with an overpotential of 270 mV at 10 mA cm^(-2)and specific activity of 2.08 mA cm_(ECSA)^(-2)at overpotential of 300 mV,3.84-fold that of Ni_(3)Fe *** is revealed that the catalyst–support interaction between Ni_(3)Fe oxide and PANI support enhances the Ni–O covalency via the interfacial Ni–N bond,thus promoting the charge and mass transfer on Ni_(3)Fe *** the excellent activity and stability,rechargeable Zn-air batteries with optimum Ni_(3)Fe oxide/PANI are assembled,delivering a low charge voltage of 1.95 V to cycle for 400 h at 10 mA cm^(-2).The regulation of the effect of catalyst–support interaction on catalytic activity provides new possibilities for the future design of highly efficient OER catalysts.

关键词： Catalyst-support interaction Supported catalysts Heterointerface Oxygen evolution reaction Zn-air batteries

东海西北部中层冷水垂直热结构数值预报方法研究 Ⅰ.一维数值预报模式

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海洋学报 2002年第2期24卷 1-8页

作者：廖启煜王宗山徐伯昌邹娥梅国家海洋局第一海洋研究所山东青岛266061

文中,以水温垂直剖面的自模性将其由T-Z分布变为θ-η剖面为基础,在考虑海面加热,忽略热平流效应和来自海底的热通量情况下,将海洋分为4层,并在各层内利用其自模函数的积分趋于常量的特性,对引入自模函数的热传导方程进行推导运算,导出... 详细信息

文中,以水温垂直剖面的自模性将其由T-Z分布变为θ-η剖面为基础,在考虑海面加热,忽略热平流效应和来自海底的热通量情况下,将海洋分为4层,并在各层内利用其自模函数的积分趋于常量的特性,对引入自模函数的热传导方程进行推导运算,导出描述含中层冷水垂直热结构7个特征量的闭合方程组.当解得这些特征量之后,代入含有自模函数的温度表达式,即获得预报的整个水温剖面.为了检验模式的功能,我们利用东海西北部海域中27个测站,以5月5日和5月10日实测的特征量作为初值,分别试报了5月10日和5月15日的特征量及水温剖面.试报的结果表明:试报特征值和温度剖面与其实测值之间的平均绝对误差,特征温度小于或等于0.23℃,特征深度小于或等于1.18m,而水温剖面小于或等于0.20℃.由此可见,试报的效果是令人满意的.

关键词：中层冷水自模函数热传导方程东海垂直热结构数值预报

Dynamical Algebraic Approach to the Modified Jaynes-Cummings Model

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Chinese Physics Letters 2001年第1期18卷 51-53页

作者： xu Jing-bo zou xu-bo Zhejiang Institute of Modern Physics and Department of Physics Zhejiang UniversityHangzhou 310027

The modified Jaynes-Cummings model of a single two-level atom placed in the common domain of two cavities or interacting with two quantized modes is studied by a dynamical algebraic *** the help of an SU(2)algebraic structure,we then obtain the eigenvalues,eigenstates,time evolution operator and atomic inversion operator for the *** proceed to investigate the modified Jaynes-Cummings model governed by the Milburn equation and present the exact solution of the Milburn equation.

关键词： equation. method. algebraic

自适应变分模态分解算法在高温高压水空化特性分析中的应用

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西安交通大学学报 2025年第1期59卷 56-67页

作者：许博胡鸿飞王海军西安交通大学能源与动力工程学院西安710049

针对高温高压流动工况下,空化状态判断困难、传统分析方法难以有效提取压力脉动信号中的有效信息的问题,以孔板为对象,开展了高温高压水的空化实验,并提出了一种基于遗传算法的自适应变分模态分解(AVMD)算法。该算法通过结合中心频率法... 详细信息

针对高温高压流动工况下,空化状态判断困难、传统分析方法难以有效提取压力脉动信号中的有效信息的问题,以孔板为对象,开展了高温高压水的空化实验,并提出了一种基于遗传算法的自适应变分模态分解(AVMD)算法。该算法通过结合中心频率法、遗传算法、功率谱熵和相对能量等技术,自适应地确定变分模态分解算法中的超参数并有效去除信号中的噪声成分,提高了空化特征的提取精度。结果表明:AVMD算法能够精确捕捉到高温高压水流经孔板时空化现象的发生和发展,识别空化起始点、转捩点以及空化强度的变化;当高温高压水流经孔板后,压力脉动的无量纲频率在0.04~0.35、压力脉动的无量纲幅值在0.014~0.067时,空化现象开始出现;随着空化强度增加,管内压力脉动幅值和频率整体呈增大趋势;空化起始转捩点及空化严重转捩点与入口压力和工质入口过冷度密切相关。AVMD算法能够有效提高空化特性分析的精度,尤其是在复杂流动条件下的空化预测,为压水堆核电站冷却剂系统和高压蒸汽系统的稳定运行提供理论依据和参考。

关键词：高温高压水空化特性自适应变分模态分解孔板

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Molecular mechanism and research progress of traditional Chinese medicine in the treatment of prostate cancer

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Traditional Medicine Research 2025年第1期10卷 62-72页

作者： Hai-Luo Wang Ruo-Ran Zhang Hao Wang Peng xu Jing-Kai Wang bo Chen Hao xu Deng Pan Yu-Yang Ma Kun Pang Department of Urology Xuzhou Central HospitalXuzhou Clinical School of Xuzhou Medical CollegeXuzhou 221009China Graduate School Jiangsu UniversityZhenjiang 212013China Graduate School Bengbu Medical UniversityBengbu 233040China Department of Urology The Peixian People’s HospitalXuzhou 221699China.

Prostate cancer(PCa)is one of the most common malignant tumors in the male genitourinary system,ranking second in incidence *** Chinese medicine(TCM),as an important component of complementary and alternative medicine,shows unique advantages in cancer *** herbal medicine is usually composed of multiple ingredients and involves multiple signaling pathways,which showed function of inducing apoptosis of cancer cells,arresting the cell cycle,inhibiting invasion and metastasis,reducing drug resistance,and regulating immune *** therapy is also an important treatment of ***,Physical therapy such as acupuncture or Tai Chi and Qigong are gaining increased recognition in the management of PCa,particularly in addressing issues like urinary incontinence and bone metastasis-related *** article reviews the TCM treatment and therapy of PCa,in order to provide new research avenues and treatment options for the treatment of PCa with TCM and improve the quality of life of patients.

关键词： traditional Chinese medicine prostate cancer Chinese herbal medicine physical therapy