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Turbulent Agglomeration of Microparticles in a Cylinder Wake Flow Using LES-DEM:Focusing on the Effect of the Reynolds Number

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Journal of Thermal Science 2025年第1期34卷 34-49页

作者： WANG Shuang MU lin LI Xue XIE jun DONG Ming School of Energy and Power Engineering Dalian University of Technology School of Optical Information and Energy Engineering Wuhan Institute of Technology School of Energy and Environment Shenyang Aerospace University

Turbulent agglomeration is viewed as a promising technology for enhancing fine particle removal *** better understand particle transport,agglomeration behaviors,and fluid-particle interactions,we numerically explored these phenomena under cylindrical vortex wake influence using a coupled large eddy simulation and discrete element method（LES-DEM） *** validity of the LES approach was verified by comparison with available direct numerical simulation（DNS） *** adopted the Johnson-Kendall-Roberts（JKR） contact model for particle-particle *** particle dispersion and agglomeration characteristics of particles with different diameters（dp=2-20 μm） in the laminar and transition of shear layer（TrSL） flow regimes were *** particles were concentrated at the vortex centers,while larger particles accumulated around the *** agglomeration efficiency exhibited an M-shaped profile spanwise（y-direction）.With increasing Reynolds number,the agglomeration efficiency and turbulence intensity *** particle agglomeration efficiency peaks at a certain Reynolds ***,at higher Reynolds numbers,reducing the residence time of particles in the flow field decreases the agglomeration efficiency.

关键词： discrete element method large eddy simulation microparticle particle agglomeration

Hypoxia-preconditioned bone marrow-derived mesenchymal stem cells protect neurons from cardiac arrest-induced pyroptosis

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Neural Regeneration Research 2025年第4期20卷 1103-1123页

作者： Xiahong tang Nan Zheng Qingming lin Yan You Zheng Gong Yangping Zhuang Jiali Wu Yu Wang Hanlin Huang jun Ke Feng Chen Shengli Clinical Medical College of Fujian Medical University Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Emergency Fujian Provincial HospitalFuzhouFujian ProvinceChina Fujian Provincial Key Laboratory of Emergency Medicine FuzhouFujian ProvinceChina The Second Department of Intensive Care Unit Fujian Provincial Hospital South BranchFuzhouFujian ProvinceChina

Cardiac arrest can lead to severe neurological impairment as a result of inflammation,mitochondrial dysfunction,and post-cardiopulmonary resuscitation neurological *** preconditioning has been shown to improve migration and survival of bone marrow–derived mesenchymal stem cells and reduce pyroptosis after cardiac arrest,but the specific mechanisms by which hypoxia-preconditioned bone marrow–derived mesenchymal stem cells protect against brain injury after cardiac arrest are *** this end,we established an in vitro co-culture model of bone marrow–derived mesenchymal stem cells and oxygen–glucose deprived primary neurons and found that hypoxic preconditioning enhanced the protective effect of bone marrow stromal stem cells against neuronal pyroptosis,possibly through inhibition of the MAPK and nuclear factor κB ***,we transplanted hypoxia-preconditioned bone marrow–derived mesenchymal stem cells into the lateral ventricle after the return of spontaneous circulation in an 8-minute cardiac arrest rat model induced by *** results showed that hypoxia-preconditioned bone marrow–derived mesenchymal stem cells significantly reduced cardiac arrest–induced neuronal pyroptosis,oxidative stress,and mitochondrial damage,whereas knockdown of the liver isoform of phosphofructokinase in bone marrow–derived mesenchymal stem cells inhibited these *** conclude,hypoxia-preconditioned bone marrow–derived mesenchymal stem cells offer a promising therapeutic approach for neuronal injury following cardiac arrest,and their beneficial effects are potentially associated with increased expression of the liver isoform of phosphofructokinase following hypoxic preconditioning.

关键词： bone marrow–derived mesenchymal stem cells cardiac arrest cardiac resuscitation hypoxic preconditioning liver isoform of phosphofructokinase mitochondria neuroinflammation oxidative stress pyroptosis reactive oxygen species

Wafer‑Scale Vertical 1D GaN Nanorods/2D MoS_(2)/PEDOT:PSS for Piezophototronic Effect‑Enhanced Self‑Powered Flexible Photodetectors

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Nano-Micro Letters 2025年第3期17卷 102-116页

作者： Xin tang Hongsheng Jiang Zhengliang lin Xuan Wang Wenliang Wang Guoqiang Li State Key Laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640People’s Republic of China Department of Electronic Materials School of Materials Science and EngineeringSouth China University of TechnologyGuangzhou 510640People’s Republic of China

van der Waals(vdW)heterostructures constructed by lowdimensional(0D,1D,and 2D)materials are emerging as one of the most appealing systems in next-generation flexible ***,hand-stacked vdW-type photodetectors are not compatible with large-areaarray fabrication and show unimpressive performance in self-powered ***,vertical 1D GaN nanorods arrays(NRAs)/2D MoS_(2)/PEDOT:PSS in wafer scale have been proposed for self-powered flexible photodetectors arrays *** as-integrated device without external bias under weak UV illumination exhibits a competitive responsivity of 1.47 A W^(−1)and a high detectivity of 1.2×10^(11)Jones,as well as a fast response speed of 54/71μs,thanks to the strong light absorption of GaN NRAs and the efficient photogenerated carrier separation in type-II ***,the strain-tunable photodetection performances of device have been ***,the device at−0.78%strain and zero bias reveals a significantly enhanced photoresponse with a responsivity of 2.47 A W^(−1),a detectivity of 2.6×10^(11)Jones,and response times of 40/45μs,which are superior to the state-of-the-art self-powered flexible *** work presents a valuable avenue to prepare tunable vdWs heterostructures for self-powered flexible photodetection,which performs well in flexible sensors.

关键词： Vertical nanorod arrays van der Waals heterostructure Piezophototronic effect Self-powered photodetection Flexible sensors

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： Contrastive Learning

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基于故障检测的某涡扇发动机维修决策方法

航空动力学报 2017年第1期32卷 82-88页

作者：张莹松吴灿唐海龙林军郝明北京航空航天大学能源与动力工程学院北京100191 中国人民解放军第5713工厂技术与培训中心湖北襄阳441000

为有效解决某涡扇发动机过度维修造成发动机性能衰减、维修周期长、维修成本高的难题,以某涡扇发动机大修手册和维修工艺为依据,研究了基于故障检测的发动机维修流程和修理模式,建立专家诊断系统和基于BP(back propagation)神经网络的... 详细信息

为有效解决某涡扇发动机过度维修造成发动机性能衰减、维修周期长、维修成本高的难题,以某涡扇发动机大修手册和维修工艺为依据,研究了基于故障检测的发动机维修流程和修理模式,建立专家诊断系统和基于BP(back propagation)神经网络的故障诊断模型,并用数台涡扇发动机真实性能数据验证故障诊断模型的可靠性,其诊断准确率高达95%,综合两者的诊断信息,制定可靠的维修方案,优化维修流程,提出了一种基于故障检测的维修决策方法.通过某涡扇真实排气温度高发动机应用验证表明:所提出的维修决策方法,有效排除故障,提高发动机的修理质量,降低维修成本,具有良好的工程应用价值.

关键词：涡扇发动机 BP神经网络专家系统故障检测维修决策

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灾后法院法律纠纷解决调查

西部法学评论 2009年第2期 119-128页

作者：唐林军西南财经大学法学院四川成都610074

为更深入和具体了解地震灾害对法院纠纷解决的影响,2008年7月西南财经大学法学院调查分队就"灾后法院法律纠纷解决方面的问题"这一课题深入到基层人民法院进行了较为全面的实证调查。调查主要了解灾后基层法院涉灾案件的基本情况以及地... 详细信息

为更深入和具体了解地震灾害对法院纠纷解决的影响,2008年7月西南财经大学法学院调查分队就"灾后法院法律纠纷解决方面的问题"这一课题深入到基层人民法院进行了较为全面的实证调查。调查主要了解灾后基层法院涉灾案件的基本情况以及地震给法院正常诉讼工作带来的困难,同时获取了法院方面的相关统计分析资料与案例信息,从而对灾后法院受理的各类涉灾纠纷的基本情况和特点作了调查分析,并提出了相应对策。

关键词：地震灾害灾后法院纠纷解决

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各种确定气井无阻流量方法的剖析

新疆石油地质 2005年第3期26卷 288-289页

作者：唐洪俊林萍重庆科技学院重庆科技学院重庆400042

讨论了4种确定气井无阻流量方法的理论依据和实际意义,计算精度与应用条件,优点与不足,不同方法之间的内在联系。在此基础上提出了4种方法的应用条件,这对于不同油井确定无阻流量具有重要借鉴意义。

关键词：气井无阻流量试井方法

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Ad Hoc网络有效同步传输量的概率分析

计算机工程 2007年第19期33卷 16-18,44页

作者：唐林俊王汉兴上海大学数学系上海200436

考虑了Ad Hoc网络各节点的同步传输干扰功率总量,在此基础上建立了一次传输成功接收的概率模型并修正了Ad Hoc网络的协议-干扰模型。通过对模型进行概率分析,得到了Ad Hoc网络同步传输性能的量化分析结果。数值结果显示了信号衰减指数... 详细信息

考虑了Ad Hoc网络各节点的同步传输干扰功率总量,在此基础上建立了一次传输成功接收的概率模型并修正了Ad Hoc网络的协议-干扰模型。通过对模型进行概率分析,得到了Ad Hoc网络同步传输性能的量化分析结果。数值结果显示了信号衰减指数和传输与干扰半径之比对传输容量的影响。

关键词：无线自组网协议-干扰模型干扰功率总量

Thickness and sp3 bond modulation of（Ti/tetrahedral amorphous carbon）_n multilayer coatings

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Tungsten 2025年第1期7卷 152-160页

作者： Zhi-jun Xie Jia-lin Li ling Gong Xiang-Li Zhong Hong-Jia Song Jin-Bin Wang National-Provincial Laboratory of Special Function Thin Film Materials School of Materials Science and Engineering Xiangtan University

The durability of wear-resistant tetrahedral amorphous carbon（ta-C） coatings is intimately linked to their thickness and the concentration of *** enhance the lifespan of the coatings,we have prepared a multilayer coating consisting of alternating layers of Ti and ta-C,denoted as（Ti/ta-C）_n,using arc ion plating.A multi-layer structure in conjunction with stage cooling is employed to enhance the thickness and promote *** results indicate that the ID/IGvalue,representing the ratio of the intensity of the D peak to that of the G peak in Raman spectroscopy,decreases from 0.85 when no stage cooling is applied to 0.35 when stage cooling is employed,suggesting an enhancement in the fraction of sp3bonds within the *** obtained（Ti/ta-C）_n multilayer coating without peeling off has a maximum thickness of 1.14 μm,which is almost double that of the ta-C coating single layer *** the same time,the coating has a low coefficient of friction,down to 0.069,and maintains excellent friction properties with a wear rate of 3.4×10-6mm3·N-1·*** results conclusively show that the preparation technology can enhance both thickness and sp3bonding in ta-C coatings,significantly expanding their utility across tools,molds,and precision engineering components.

关键词： Arc ion plating Multilayer structure sp3 bond Ta-C coating Wear resistance