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| 1 | Resarch of Diesel Hybrid Electric Vehicle Hardware System显示文摘 | Junhua Song Junxi Wang Hangbo Tang | 2009 | International Journal of Automotive2009，10，4： | 1 |
| 2 | Differential expression of EphA7 receptor tyrosine kinase in gastric carcinoma显示文摘 | Jiandong Wang Guoli Li Henghui Ma Yang Bao Xulin Wang Hangbo Zhou Zhen Sheng Haruhiko Sugimura Jie Jin Xiaojun Zhou | 2007 | Human Pathology2007，，11： | 1 |
| 3 | Orbitally driven giant thermal conductance associated with abnormal strain dependence in hydrogenated graphene-like borophene显示文摘Heat energy in solids is carried by phonons and electrons.However,in most two-dimensional(2D)materials,the contribution from electrons to total thermal conduction is much lower than that for phonons.In this work,through first-principles calculations combined with non-equilibrium Green’s function theory,we studied electron and phonon thermal conductance in recently synthesized 2D hydrogen boride.The hexagonal boron network with bridging hydrogen atoms is suggested to exhibit comparable lattice thermal conductance(4.07 nWK−1 nm−2)as graphene(4.1 nWK−1 nm−2),and similar electron thermal conductance(3.6 nWK−1 nm−2),which is almost ten times that of graphene.As a result,total thermal conductance of 2D hydrogen boride is about two-fold of graphene,being the highest value in all known 2D materials.Moreover,tensile strain along the armchair direction leads to an increase in carrier density,significantly increasing electron thermal conductance.The increase in electron thermal conductance offsets the reduction in phonon thermal conductance,contributing to an abnormal increase in thermal conductance.We demonstrate that the high electron density governs extraordinarily high thermal conductance in 2D hydrogen boride,distinctive among 2D materials. | Jia He Dengfeng Li Yan Ying Chunbao Feng Junjie He Chengyong Zhong Hangbo Zhou Ping Zhou Gang Zhang | 2019 | npj Computational Materials2019，，1： | 0 |
| 4 | Bioresorbable Multilayer Photonic Cavities as Temporary Implants for Tether-Free Measurements of Regional Tissue Temperatures显示文摘Objective and Impact Statement.Real-time monitoring of the temperatures of regional tissue microenvironments can serve as the diagnostic basis for treating various health conditions and diseases.Introduction.Traditional thermal sensors allow measurements at surfaces or at near-surface regions of the skin or of certain body cavities.Evaluations at depth require implanted devices connected to external readout electronics via physical interfaces that lead to risks for infection and movement constraints for the patient.Also,surgical extraction procedures after a period of need can introduce additional risks and costs.Methods.Here,we report a wireless,bioresorbable class of temperature sensor that exploits multilayer photonic cavities,for continuous optical measurements of regional,deep-tissue microenvironments over a timeframe of interest followed by complete clearance via natural body processes.Results.The designs decouple the influence of detection angle from temperature on the reflection spectra,to enable high accuracy in sensing,as supported by in vitro experiments and optical simulations.Studies with devices implanted into subcutaneous tissues of both awake,freely moving and asleep animal models illustrate the applicability of this technology for in vivo measurements.Conclusion.The results demonstrate the use of bioresorbable materials in advanced photonic structures with unique capabilities in tracking of thermal signatures of tissue microenvironments,with potential relevance to human healthcare. | Wubin Bai Masahiro Irie Zhonghe Liu Haiwen Luan Daniel Franklin Khizar Nandoliya Hexia Guo Hao Zang Yang Weng Di Lu Di Wu Yixin Wu Joseph Song Mengdi Han Enming Song Yiyuan Yang Xuexian Chen Hangbo Zhao Wei Lu Giuditta Monti Iwona Stepien Irawati Kandela Chad R.Haney Changsheng Wu Sang Min Won Hanjun Ryu Alina Rwei Haixu Shen Jihye Kim Hong-Joon Yoon Wei Ouyang Yihan Liu Emily Suen Huang-yu Chen Jerry Okina Jushen Liang Yonggang Huang Guillermo A.Ameer Weidong Zhou John A.Rogers | 2021 | Biomedical Engineering Frontiers2021，2，1： | 0 |
| 5 | Aggregate Point Cloud Geometric Features for Processing显示文摘As 3D acquisition technology develops and 3D sensors become increasingly affordable,large quantities of 3D point cloud data are emerging.How to effectively learn and extract the geometric features from these point clouds has become an urgent problem to be solved.The point cloud geometric information is hidden in disordered,unstructured points,making point cloud analysis a very challenging problem.To address this problem,we propose a novel network framework,called Tree Graph Network(TGNet),which can sample,group,and aggregate local geometric features.Specifically,we construct a Tree Graph by explicit rules,which consists of curves extending in all directions in point cloud feature space,and then aggregate the features of the graph through a cross-attention mechanism.In this way,we incorporate more point cloud geometric structure information into the representation of local geometric features,which makes our network perform better.Our model performs well on several basic point clouds processing tasks such as classification,segmentation,and normal estimation,demonstrating the effectiveness and superiority of our network.Furthermore,we provide ablation experiments and visualizations to better understand our network. | Yinghao Li Renbo Xia Jibin Zhao Yueling Chen Liming Tao Hangbo Zou Tao Zhang | 2023 | Computer Modeling in Engineering & Sciences2023，，7： | 0 |
| 6 | 智能手机dopod 838 Pro VS.Palm Treo 750v显示文摘 | N K Hangbo | 2007 | 数码世界2007，0，1： | 0 |
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