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Rare Metals 2022年第7期41卷 2405-2416页

作者： song-song cui Xuan Liu Yin-Biao Shi Ming-Ye Ding Xiao-Fei Yang College of Science Nanjing Forestry UniversityNanjing 210037China

Exploring efficient co-catalysts to accurately steer the charge separation of semiconductor photocatalysts is highly desired yet remains ***,we tackle the significant challenge by in situ growing the Bi_(12)O_(17)C_(l2)photocatalyst onto two-dimensional(2D)Cl-terminated Ti_(3)C_(2)MXene to construct 2D/2D heterojunction of Bi_(12)O_(17)C_(l2)and Ti_(3)C_(2).Firstly,2D few-layered Ti_(3)C_(2)MXene with chlorine groups has been successfully syn-thesized by Lewis acidic etching strategy with subsequent ultrasonic *** grafting of chlorine terminations on the surface of MXene serves as nucleating centers and growth platform,resulting in the formation of strong interfacial bonds(Bi-Cl-Ti)between Bi_(12)O_(17)C_(l2)and Ti_(3)C_(2).These strong bonds can facilitate the separation and transfer of photo-generated charge carriers between Bi_(12)O_(17)C_(l2)photocatalyst and Ti_(3)C_(2)*** expec-ted,the photocatalytic degradation rate of Bi_(12)O_(17)C_(l2)/Ti_(3)C_(2)hybrids is 9.7 times higher than that of bare Bi_(12)O_(17)C_(l2)*** work not only exhibits a new design concept to effectively steer the charge separation for photocatalysis,but also gives a reference for constructing efficient MXene-based photocatalytic systems.

关键词： Photocatalysis Ti3C2 MXenes Cocatalyst Schottky junction Heterojunction Charge transfer channels

Mechanism by which Rab5 promotes regeneration and functional recovery of zebrafish Mauthner axons

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Neural Regeneration Research 2025年第6期20卷 1816-1824页

作者： Jiantao cui Yueru Shen Zheng song Dinggang Fan Bing Hu Center for Advanced Interdisciplinary Science and Biomedicine of IHM Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina

Rab5 is a GTPase protein that is involved in intracellular membrane trafficking. It functions by binding to various effector proteins and regulating cellular responses, including the formation of transport vesicles and their fusion with the cellular membrane. Rab5 has been reported to play an important role in the development of the zebrafish embryo;however, its role in axonal regeneration in the central nervous system remains unclear. In this study, we established a zebrafish Mauthner cell model of axonal injury using single-cell electroporation and two-photon axotomy techniques. We found that overexpression of Rab5 in single Mauthner cells promoted marked axonal regeneration and increased the number of intra-axonal transport vesicles. In contrast, treatment of zebrafish larvae with the Rab kinase inhibitor CID-1067700markedly inhibited axonal regeneration in Mauthner cells. We also found that Rab5 activated phosphatidylinositol 3-kinase(PI3K) during axonal repair of Mauthner cells and promoted the recovery of zebrafish locomotor function. Additionally, rapamycin, an inhibitor of the mechanistic target of rapamycin downstream of PI3K, markedly hindered axonal regeneration. These findings suggest that Rab5 promotes the axonal regeneration of injured zebrafish Mauthner cells by activating the PI3K signaling pathway.

关键词： axonal regeneration Mauthner cell nerve regeneration Rab5 zebrafish

基于多尺度融合金字塔焦点网络的接触网零部件检测

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工程科学学报 2025年第2期47卷 315-327页

作者：朱新宇崔浩锐宋洋中国民用航空飞行学院航空电子电气学院西南交通大学利兹学院

作为高铁牵引供电系统的重要组成部分，接触网系统承担着向动车组传输电能的重要功能.实际工程运营表明，受弓网交互产生的持续冲击以及外部环境的影响，接触网支撑部件可能会出现“松、脱、断、裂”等缺陷，导致接触网结构可靠性下降... 详细信息

作为高铁牵引供电系统的重要组成部分，接触网系统承担着向动车组传输电能的重要功能.实际工程运营表明，受弓网交互产生的持续冲击以及外部环境的影响，接触网支撑部件可能会出现“松、脱、断、裂”等缺陷，导致接触网结构可靠性下降，严重影响接触网系统稳定运行.因此，及时精确定位接触网支撑部件（CSCs），对保障高铁安全运行和完善接触网检修维护策略具有重大意义.然而，CSCs的检测通常面临着零部件种类多、尺度差异大、部分零部件微小的问题.针对以上问题，本文提出一种基于多尺度融合金字塔焦点网络的接触网零部件检测算法，将平衡模块和特征金字塔模块相结合，提高对小目标的检测性能.首先，设计了可分离残差金字塔聚合模块（SRPAM），用于优化模型多尺度特征提取能力、扩大感受野，缓解CSCs检测的多尺度问题；其次，设计了一种基于平衡特征金字塔的路径聚合网络（PA-BFPN）,用于提升跨层特征融合效率和小目标检测性能.最后，通过对比试验、可视化实验和消融实验证明了所提方法的有效性和优越性.其中，所提的MFPFCOS在CSCs数据集上的检测精度（mAP）能够在达到48.6%的同时，实现30的FLOPs (Floating point operations per second)，表明所提方法能够在检测精度和检测速度之间保持良好的平衡.

关键词：深度学习目标检测接触网支撑组件(CSCs) 路径聚合特征金字塔(PA-FPN) 空洞空间卷积池化金字塔(ASPP)

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Mechanism of action of Linggui Zhugan Decoction in treating non-alcoholic fatty liver disease using untargeted metabolomics approach

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Traditional Medicine Research 2025年第2期10卷 65-76页

作者： Huan Pei Ren-Lin Li Xin-Ran song Qian-Qian Wan Yu-Ming Wang Han-Zhou Li Wei-Quan Xu Jia-Bao Liao Wei-Bo Wen Jing Miao Huan-Tian cui School of Basic Medicine Yunnan University of Chinese MedicineKunming 650599China School Clinical Medical College Yunnan University of Chinese MedicineKunming 650599China First School of Clinical Medicine Yunnan University of Chinese MedicineKunming 650599China School of Integrative Chinese and Western Medicine Tianjin University of Traditional Chinese MedicineTianjin 301617China Department of Pharmacy Tianjin Second People's HospitalTianjin 300192China

Background:Non-alcoholic fatty liver disease(NAFLD)is a liver disorder characterized by the accumulation and degeneration of fat in the liver cells,a condition that may further deteriorate and lead to cirrhosis and liver *** studies showed that metabolic dysfunction can promote NAFLD *** Zhugan Decoction(LGZGD)has therapeutic effects on *** mechanism of LGZGD still remains *** study was to examine the impact of LGZGD on the metabolic processes involved in the development of ***:A mice model of NAFLD was treated with *** therapeutic potential of LGZGD was evaluated by assessing the activity of transaminases,lipids levels of blood,and pathological changes in the liver of the mice model of ***,this study also evaluated the influence of LGZGD on liver inflammation and oxidative ***:The results of untargeted metabolomics analysis showed that LGZGD reduced the disordered lipid metabolism in NAFLD *** improved the oxidative stress and also reduced the levels of pro-inflammatory cytokines in the *** metabolomics analysis of liver samples revealed that LGZGD treatment improved metabolic disorders,including alanine,aspartate,glutamate,glycerophospholipid metabolism,and citrate *** RT-qPCR and Western blot results showed that LGZGD could regulate the expression of key enzymes in the metabolic pathway of the citrate cycle,including ATP-citrate lyase(ACLY),alanine-glyoxylate aminotransferase-2(AGXT2),phosphatidylethanolamine N-methyltransferase(PEMT),and succinate dehydrogenase(SDH).Conclusion:We found that LGZGD can treat NAFLD by reducing inflammatory responses,inhibiting oxidative stress,regulating alanine,aspartate,glutamate,and glycerophospholipid metabolism,and citrate cycle pathways.

关键词： NAFLD LGZGD untargeted metabolomics glycerophospholipid metabolism citrate cycle

Crystallographic texture evolution and martensite transformation in the strain hardening process of a ferrite-based low density steel

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Journal of Materials Science & Technology 2021年第19期78卷 247-259页

作者： Mingxiang Liu Changjiang song Zhenshan cui Center for Advanced Solidification Technology School of Materials Science and EngineeringShanghai UniversityShanghai200444China Institute of Forming Technology and Equipment School of Materials Science and EngineeringShanghai Jiao Tong University1954 Huashan RoadShanghai200030China

The strain-induced martensite transformation is of great importance in the strain hardening process of ferrite based low-density *** on the microstructure analysis,the texture evolution and martensite transformation behavior in the strain hardening process were *** results show that martensite transformation accompanied by TWIP effect and high density dislocations maintains the continuous hardening *** the strain increases,the texture of retained austenite evolves towards the F orientation{111},which is not conducive to martensite *** the strain of 5%,the number of austenite grains with high Schmid factor orientations is gradually increased,and then significantly reduced when the strain is over 10%due to the occurrence of martensitic transformation,which results in a high martensitic transformation ***,the unfavorable orientation and the reduced grain size of austenite slow down the martensite transformation at the final hardening ***,because of the coordination deformation of austenite grains,strain preferentially spreads between adjacent austenite ***,the martensite transformation rate in strain hardening process is dependent on the orientation and grain size evolution of austenite,leading to a differential contribution to each strain hardening stage.

关键词： Low density steel Strain hardening Texture TRIP Deformation behavior

A novel mapping algorithm for three-dimensional network on chip based on quantum-behaved particle swarm optimization

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Frontiers of Computer Science 2017年第4期11卷 622-631页

作者： cui HUANG Dakun ZHANG Guozhi song School of Computer Science and Software Engineering Tianjin Polytechnic University Tianjin 300387 China

Mapping of three-dimensional network on chip is a key problem in the research of three-dimensional network on chip. The quality of the mapping algorithm used di- rectly affects the communication efficiency between IP cores and plays an important role in the optimization of power consumption and throughput of the whole chip. In this paper, ba- sic concepts and related work of three-dimensional network on chip are introduced. Quantum-behaved particle swarm op- timization algorithm is applied to the mapping problem of three-dimensional network on chip for the first time. Sim- ulation results show that the mapping algorithm based on quantum-behaved particle swarm algorithm has faster con- vergence speed with much better optimization performance compared with the mapping algorithm based on particle swarm algorithm. It also can effectively reduce the power consumption of mapping of three-dimensional network on chip.

关键词： three-dimensional network on chip mapping al-gorithm quantum-behaved particle swarm optimization al-gorithm particle swarm optimization algorithm low powerconsumption

Fatigue life prediction model of 2.5D woven composites at various temperatures

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Chinese Journal of Aeronautics 2018年第2期31卷 310-329页

作者： Jian song Weidong WEN Haitao cui College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Department of Mechanical and Biomedical Engineering City University of Hong Kong

As one of the new structural layout in the family of woven composites, 2.5D Woven Composites（2.5D-WC） have recently attracted an increasing interest owing to its excellent properties, i.e. high specific strength and fatigue resistance, in the aerospace and automobile industry. Indepth understanding of the fatigue behavior of this material at un-ambient temperatures is critical for the engineering applications, especially in aero-engine field. Here, fatigue behavior of 2.5D-WC at different temperatures was numerically investigated based on the unit cell approach. Firstly, the unit cell model of 2.5D-WC was established using ANSYS software. Subsequently, the temperature-dependent fatigue life prediction model was built up. Finally, the fatigue lives alongside the damage evolution processes of 2.5D-WC at ambient temperature（20 ℃） and unambient temperature（180 ℃） were analyzed. The results show that numerical results are in good agreement with the relevant experimental results at 20 and 180 ℃. Fatigue behavior of 2.5D-WC is also sensitive to temperature, which is partially attributed to the mechanical properties of resin and the change of inclination angle of warp yarns. We hope that the proposed fatigue life prediction model and the findings could further promote the engineering application of 2.5D-WC, especially in aero-engine field.

关键词： ANSYS Fatigue behavior Fatigue life prediction model Temperature 2.5D woven composites

Microstructure and Mechanical Properties of 06Cr13Ni4Mo Steel Treated by Quenching–Tempering–Partitioning Process

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Journal of Materials Science & Technology 2016年第2期32卷 189-193页

作者： Yuanyuan song Jingping cui Lijian Rong Institute of Metal Research Chinese Academy of Sciences Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal Research Chinese Academy of Sciences

A heat treatment process, quenching-tempering-partitioning （Q-T-P）, has been applied to a low carbon martensitic stainless steel 06Crl3Ni4Mo. By using this process, ultrafine reversed austenite can be obtained at room temperature. The microstructures of the reversed austenite and the martensite matrix were characterized by transmission electron microscopy （TEM） and energy dispersive spectroscopy （EDS） in detail. The results show that the ultrafine reversed austenite is enriched in Ni resulting in the austenite stability at room temperature. Two new types of nano-scale carbide precipitates are found in the martensite matrix. Detailed analysis suggests that the two nano-scale precipitates can be identified as ω phase and λ phase carbides, respectively. The orientation relationship between the ω phase and matrix is [011]α [/[2110]ω and （211）α//（0110）ω, while that between the X phase precipitate and matrix is [011]α][[0001]λ and （200）α/（1210）λ. For the present steel, the ultrafine reversed austenite and carbide precipitates obtained by Q-T-P treatment provide a good combination of high strength and toughness.

关键词： Quenching-tempering-partitioning Martensitic stainless steel Microstructure Reversed austenite Carbide precipitates

Model reconstruction for worn blades based on hybrid surface registrations

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Advances in Manufacturing 2022年第3期10卷 479-494页

作者： Kang cui Rui-song Jiang Lin Jing School of Automation and Software Engineering Shanxi UniversityTaiyuan 030006People's Republic of China School of Aeronautics and Astronautics Sichuan UniversityChengdu 610065People's Republic of China

Model reconstruction is crucial in blade repair because it directly determines the shape precision and finish of a repaired ***,owing to insufficient surface data pertaining to defective regions and the unique deformation caused by harsh environments,modeling a worn blade remains ***,a model reconstruction method for worn blades is developed in this *** conventional methods of constructing and interpolating sectional curves,the proposed method focuses on modifying a nominal computer aided design(CAD)model to reconstruct the worn *** weighted rigid registration and constraint-based non-rigid registration,the design surface extracted from the nominal CAD model can be deformed to align with the surface data of the worn blade without a significant loss of its initial *** results show that the deformed design surface exhibits sufficient smoothness and accuracy for guiding tool path generation in the subsequent blade repair.

关键词： Turbine blades Repair Model reconstruction Registration

Novel Hybrid Physics‑Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel

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Chinese Journal of Mechanical Engineering 2022年第6期35卷 151-164页

作者： Tao Fu Tianci Zhang Yunhao cui Xueguan song School of Mechanical Engineering Dalian University of TechnologyDalian 116024China

Electric cable shovel(ECS)is a complex production equipment,which is widely utilized in open-pit *** valuations of load is the foundation for the development of intelligent or unmanned ECS,since it directly influences the planning of digging trajectories and energy *** prediction of ECS mainly consists of two types of methods:physics-based modeling and data-driven *** former approach is based on known physical laws,usually,it is necessarily approximations of reality due to incomplete knowledge of certain processes,which introduces *** latter captures features/patterns from data in an end-to-end manner without dwelling on domain expertise but requires a large amount of accurately labeled data to achieve generalization,which introduces *** addition,some parts of load are non-observable and latent,which cannot be measured from actual system sensing,so they can’t be predicted by data-driven ***,an innovative hybrid physics-informed deep neural network(HPINN)architecture,which combines physics-based models and data-driven methods to predict dynamic load of ECS,is *** the proposed framework,some parts of the theoretical model are incorporated,while capturing the difficult-to-model part by training a highly expressive approximator with *** physics knowledge,such as Lagrangian mechanics and the conservation of energy,is considered extra constraints,and embedded in the overall loss function to enforce model training in a feasible solution *** satisfactory performance of the proposed framework is verified through both synthetic and actual measurement dataset.

关键词： Hybrid physics-informed deep learning Dynamic load prediction Electric cable shovel(ECS) Long shortterm memory(LSTM)