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Observation of acoustic hybrid topological phases induced by the p-d orbital interactions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 132-139页

作者： Xiao Xiang Feng Gao Yu-Gui peng peng wu Zong-Lin Li Xue-Feng zhu School of Physics and Innovation Institute Huazhong University of Science and Technology

In spinless systems,growing attention has recently been attracted to synthetic gauge fields,which redefine the fundamental crystal symmetries by utilizing the projective algebraic ***,synthetic gauge fields have been commonly investigated in single orbital systems,and explorations on hybrid orbitals remain elusive in ***,we report the experimental observation of hybrid topological phases induced by hybrid synthetic gauge flux,which is formed by the interaction between p and d orbitals embedded in acoustic *** breaking the translation symmetries of Lxand/or Ly,we unambiguously demonstrate the first-order M?bius edge states and higher-order corner *** work establishes a platform for seeking exotic topological phases induced by hybrid-orbitals interactions and initializing the framework of hybrid-orbitalsrelated topological *** applications can be anticipated in scenarios such as high-quality sensing and robust wave trapping due to the stepwise energy distribution of the hybrid topological phase.

关键词： topological insulator synthetic gauge field projective symmetry corner states

Liver as a new target organ in Alzheimer's disease:insight from cholesterol metabolism and its role in amyloid-beta clearance

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Neural Regeneration Research 2025年第3期20卷 695-714页

作者： Beibei wu Yuqing Liu Hongli Li Lemei zhu Lingfeng Zeng Zhen Zhang Weijun peng Department of Integrated Traditional Chinese&Western Medicine The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Academician Workstation Changsha Medical UniversityChangshaHunan ProvinceChina Yangsheng College of Traditional Chinese Medicine Guizhou University of Traditional Chinese MedicineGuiyangGuizhou ProvinceChina Qinhuangdao Shanhaiguan Pharmaceutical Co. LtdQinhuangdaoHebei ProvinceChina National Clinical Research Center for Mental Disorder The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina

Alzheimer's disease,the primary cause of dementia,is characterized by neuropathologies,such as amyloid plaques,synaptic and neuronal degeneration,and neurofibrillary *** amyloid plaques are the primary characteristic of Alzheimer's disease in the central nervous system and peripheral organs,targeting amyloid-beta clearance in the central nervous system has shown limited clinical efficacy in Alzheimer's disease *** abnormalities are commonly observed in patients with Alzheimer's *** liver is the primary peripheral organ involved in amyloid-beta metabolism,playing a crucial role in the pathophysiology of Alzheimer's ***,impaired cholesterol metabolism in the liver may exacerbate the development of Alzheimer's *** this review,we explore the underlying causes of Alzheimer's disease and elucidate the role of the liver in amyloid-beta clearance and cholesterol ***,we propose that restoring normal cholesterol metabolism in the liver could represent a promising therapeutic strategy for addressing Alzheimer's disease.

关键词： ABCA1 Alzheimer's disease amyloid-beta apolipoprotein E cholesterol metabolism liver liver X receptor low-density lipoprotein receptor-related protein 1 peripheral clearance tauroursodeoxycholic acid

类胰岛素生长因子1对自然衰老小鼠的抗肥胖作用

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中国组织工程研究 2025年第12期29卷 2536-2543页

作者：朱鹏李瑛玉卢小倩吴琼广西高校重点实验室干细胞与医药生物技术(广西师范大学) 广西壮族自治区桂林市541004 广西师范大学生命科学学院广西壮族自治区桂林市541006

背景:实验室前期研究发现青年脂肪干细胞移植到老年小鼠体内会有减重效果,并且能改善老年小鼠体内炎症状态,推测类胰岛素生长因子1可能对于衰老和肥胖具有重要作用。目的:探究类胰岛素生长因子1对自然衰老小鼠的抗肥胖作用。方法:①生... 详细信息

背景:实验室前期研究发现青年脂肪干细胞移植到老年小鼠体内会有减重效果,并且能改善老年小鼠体内炎症状态,推测类胰岛素生长因子1可能对于衰老和肥胖具有重要作用。目的:探究类胰岛素生长因子1对自然衰老小鼠的抗肥胖作用。方法:①生物信息学分析:对GEO数据库中肥胖患者的脂肪组织测序,并对青年小鼠脂肪干细胞和老年小鼠脂肪干细胞进行转录组学测序,分析类胰岛素生长因子1表达情况。②动物实验验证:2月龄雄性C57BL/6J小鼠(青年小鼠)6只,20月龄雄性C57BL/6J小鼠(老年小鼠)12只。采用ELISA和qRT-PCR检测青年小鼠和老年小鼠的腹部脂肪组织和血清类胰岛素生长因子1的表达情况。将老年小鼠12只随机分为2组:实验组连续4周注射类胰岛素生长因子1蛋白(50μg/kg),对照组注射同等剂量的PBS。定期监测实验组和对照组小鼠体质量变化,实验结束时测量小鼠葡萄糖耐受,ELISA检测小鼠血清炎症因子、腹部脂肪组织炎症因子,苏木精-伊红染色观察肝、肾及腹部脂肪组织病理变化,qRT-PCR检测腹部脂肪组织炎症因子、PI3K-AKT信号通路mRNA的表达水平。结果与结论:①肥胖患者脂肪组织低表达类胰岛素生长因子1,并在接受减肥手术后类胰岛素生长因子1表达上升;②老年脂肪干细胞低表达类胰岛素生长因子1;③老年小鼠腹部脂肪组织和血清均低表达类胰岛素生长因子1;④注射类胰岛素生长因子1蛋白能显著降低老年小鼠的体质量并改善胰岛素抵抗;⑤老年小鼠肝脏病理切片发现有脂肪堆积情况,注射类胰岛素生长因子1蛋白后,脂肪堆积情况显著改善,并且显著降低了脂肪组织的脂滴大小;⑥注射类胰岛素生长因子1能显著降低老年小鼠血清肿瘤坏死因子α、白细胞介素1β、白细胞介素6的表达水平,显著增加脂肪组织PI3K-AKT信号通路的表达;⑦结论:外源性类胰岛素生长因子1能降低老年小鼠体质量、减小脂肪组织脂滴大小及改善肝脏脂肪堆积情况,改善老年小鼠的炎症状态,可能是通过激活PI3K-AKT信号通路改善老年小鼠的炎症状态,从而改善自然衰老小鼠的肥胖。

关键词：类胰岛素生长因子1 老年肥胖脂肪组织胰岛素抵抗炎症 PI3K-AKT信号通路

Research and development of fringe projection-based methods in 3D shape reconstruction

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第6期7卷 1026-1036页

作者： wu lu-shen peng qing-jin Department of Mechanical and Electronic Engineering Nanchang University Nanchang 330029 China Department of Mechanical and Industrial Engineering University of Manitoba R3T 5V6 Canada

This paper discusses current research and development of fringe projection-based techniques. A system based on Fourier transform profilometry (FTP) is proposed for three-dimensional (3D) shape recovery. The system improves the method of phase unwrapping to gain accurate 3D shapes of objects. The method uses a region-growing algorithm for the path prediction guided by the quality map to increase the recovering accuracy and provides a fast and simple tool for 3D shape recovery. The shape measurement and data recovery are integrated to offer a new method of 3D modelling. Examples are presented to verify the feasibility of the proposed method.

关键词： 3D modelling Fringe projection Quality map 3D measurement Reverse engineering

Achieving Safe Deep Reinforcement Learning via Environment Comprehension Mechanism

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Chinese Journal of Electronics 2021年第6期30卷 1049-1058页

作者： peng Pai zhu Fei LIU Quan ZHAO Peiyao wu wen School of Computer Science and Technology Soochow University

Deep reinforcement learning(DRL), which combines deep learning with reinforcement learning, has achieved great success recently. In some cases, however,during the learning process agents may reach states that are worthless and dangerous where the task fails. To address the problem, we propose an algorithm, referred as Environment comprehension mechanism(ECM) for deep reinforcement learning to attain safer decisions. ECM perceives hidden dangerous situations by analyzing object and comprehending the environment, such that the agent bypasses inappropriate actions systematically by setting up constraints dynamically according to states. ECM, which calculates the gradient of the states in Markov tuple, sets up boundary conditions and generates a rule to control the direction of the agent to skip unsafe states. ECM is able to be applied to basic deep reinforcement learning algorithms to guide the selection of actions. The experiment results show that the algorithm promoted safety and stability of the control tasks.

关键词： multi-agent systems deep learning (artificial intelligence) Markov tuple agent direction Markov processes basic deep reinforcement learning algorithms environment comprehension mechanism safety boundary conditions ECM

A Novel Vibration-Based Self-Adapting Method to Acquire Real-Time Following Distance for Virtually Coupled Trains

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 27-39页

作者： qinglai Zhang Jianmin Gao qing wu qinglie He Libin Tie Wanming Zhai Shengyang zhu State Key Laboratory of Rail Transit Vehicle System Southwest Jiaotong University IEEE Centre for Railway Engineering Central Queensland University National Energy Railway Equipment Co. LTDNational Energy Group

Virtual coupling(VC) is an emerging technology for addressing the shortage of rail transportation capacity. As a crucial enabling technology, the VC-specific acquisition of train information, especially train following distance(TFD), is *** this paper, a novel method is proposed to acquire real-time TFD by analyzing the vibration response of the front and following trains, during which only onboard accelerometers and speedometers are required. In contrast to the traditional arts of train positioning, this method targets a relative position between two adjacent trains in VC operation, rather than the global positions of the trains. For this purpose, an adaptive system containing three strategies is designed to cope with possible adverse factors in train operation. A vehicle dynamics simulation of a heavy-haul railway is implemented for the evaluation of feasibility and performance. Furthermore, a validation is conducted using a set of data measured from in-service Chinese high-speed trains. The results indicate the method achieves satisfactory estimation accuracy using both simulated and actual data. It has favorable adaptability to various uncertainties possibly encountered in train operation. Additionally, the method is preliminarily proven to adapt to different locomotive types and even different rail transportation modes. In general, such a method with good performance, low-cost, and easy implementation is promising to apply.

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Anisotropy in mechanical properties and corrosion resistance of 316L stainless steel fabricated by selective laser melting

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International Journal of Minerals,Metallurgy and Materials 2019年第3期26卷 319-328页

作者： Xiao-qing Ni De-cheng Kong Ying wen Liang Zhang wen-heng wu Bei-bei He Lin lu De-xiang zhu Shanghai Engineering Research Center of 3D Printing Materials Shanghai Research Institute of Materials Corrosion and Protection Center Key Laboratory for Corrosion and Protection (MOE) University of Science and Technology Beijing

The corrosion behavior and mechanical properties of 316 L stainless steel(SS) fabricated via selective laser melting(SLM) were clarified by potentiodynamic polarization measurements, immersion tests, and tensile experiments. The microstructural anisotropy of SLMed 316 L SS was also investigated by electron back-scattered diffraction and transmission electron microscopy. The grain sizes of the SLMed 316 L SS in the XOZ plane were smaller than those of the SLMed 316 L SS in the XOY plane, and a greater number of low-angle boundaries were present in the XOY plane, resulting in lower elongation for the XOY plane than for the XOZ plane. The SLMed 316 L was expected to exhibit higher strength but lower ductility than the wrought 316 L, which was attributed to the high density of dislocations. The pitting potentials of the SLMed 316 L samples were universally higher than those of the wrought sample in chloride solutions because of the annihilation of MnS or(Ca,Al)-oxides during the rapid solidification. However, the molten pool boundaries preferentially dissolved in aggressive solutions and the damage of the SLMed 316 L in FeCl3 solution was more serious after long-term service, indicating poor durability.

关键词： selective laser melting mechanical property corrosion resistance 316L stainless steel anisotropy molten pool boundary

Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta,China

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Journal of Environmental Sciences 2021年第4期33卷 110-122页

作者： Honglei Wang qing Miao Lijuan Shen Qian Yang Yezheng wu Heng Wei Yan Yin Tianliang Zhao Bin zhu wen lu Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdministrationNanjing University of Information Science&TechnologyNanjing 210044China Suzhou Environmental Monitoring Center Suzhou 215000China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

To control the spread of COVID-19,rigorous restrictions have been implemented in China,resulting in a great reduction in pollutant *** this study,we evaluated the air quality in the Yangtze River Delta during the COVID-19 lockdown period using satellite and ground-based data,including particle matter(PM),trace gases,water-soluble ions(WSIs) and black carbon(BC).We found that the impacts of lockdown policy on air quality cannot be accurately assessed using MODIS aerosol optical depth(AOD) data,whereas the tropospheric nitrogen dioxide(NO_(2)) vertical column density can well reflect the influences of these restrictions on human *** to the pre-COVID period,the PM_(2.5),PM_(10),NO_(2),carbon monoxide(CO),BC and WSIs during the lockdown in Suzhou were observed to decrease by 37.2%,38.3%,64.5%,26.1%,53.3% and 58.6%,respectively,while the sulfur dioxide(SO_(2)) and ozone(O_(3)) increased by 1.5% and 104.7%.The WSIs ranked in the order of NO_(3)~->NH_(4)^(+)>SO_(4)^(2-)>Cl~->Ca^(2+)>K^(+)>Mg^(2+)>Na + during the lockdown *** comparisons with the ion concentrations during the pre-COVID period,we found that the ions NO 3-,NH 4 +,SO_(4)^(2-),Cl~-,Ca^(2+),K^(+) and Na^(+) decreased by 66.3%,48.8%,52.9%,56.9%,57.9% and 76.3%,respectively,during the lockdown,in contrast to Mg^(2+),which increased by 30.2%.The lockdown policy was found to have great impacts on the diurnal variations of Cl~-,SO_(4)^(2-),Na^(+) and Ca^(2+).

关键词： COVID-19 Lockdown Satellite data Chemical composition Diurnal variation

Many-objective Optimization Method Based on Dimension Reduction for Operation of Large-scale Cooling Energy Systems

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CSEE Journal of Power and Energy Systems 2023年第3期9卷 884-895页

作者： peng zhu Lixiao Wang Cuiqing wu Jinyu Yu Zhigang Li Jiehui Zheng qing-Hua wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

Large-scale cooling energy system has developed well in the past ***,its optimization is still a problem to be tackled due to the nonlinearity and large scale of existing *** the scale of problems without oversimplifying the actual system model is a big challenge *** paper proposes a dimension reduction-based many-objective optimization(DRMO)method to solve an accurate nonlinear model of a practical large-scale cooling energy *** the first stage,many-objective and many-variable of the large system are pre-processed to reduce the overall scale of the optimization *** relationships between many objectives are analyzed to find a few representative *** control variables are extracted to reduce the dimension of variables and the number of equality *** the second stage,the manyobjective group search optimization(GSO)method is used to solve the low-dimensional nonlinear model,and a Pareto-front is *** the final stage,candidate solutions along the Paretofront are graded on many-objective levels of system *** candidate solution with the highest average utility value is selected as the best running *** are carried out on a 619-node-614-branch cooling system,and results show the ability of the proposed method in solving large-scale system operation problems.

关键词： Dimension reduction group search optimization large-scale cooling energy system many-objective optimization