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Tailored endothelialization enabled by engineered endothelial cell vesicles accelerates remodeling of small-diameter vascular grafts

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Bioactive Materials 2024年第11期41卷 127-136页

作者： zihao wang Mengxue Zhou Mengyu Li Jinyu Li Shengmin Zhang Jianglin wang Department of Biomedical Engineering Huazhong University of Science and TechnologyWuhan430074China NMPA Research Base of Regulatory Science for Medical Devices Institute of Regulatory Science for Medical DevicesHuazhong University of Science and TechnologyWuhan430074China

Current gold standard for the replacement of small-diameter blood vessel(ID<4 mm)is still to utilize the autologous vessels of patients due to the limitations of small-diameter vascular grafts(SDVG)on weak endothelialization,intimal hyperplasia and low ***,we create the SDVG with the tailored endothelialization by applying the engineered endothelial cell vesicles to camouflaging vascular grafts for the enhancement of vascular *** engineered endothelial cell vesicles were modified with azide groups(ECVs-N3)through metabolic glycoengineering to precisely link the vascular graft made of PCL-DBCO via click chemistry,and thus fabricating ECVG(ECVs-N3 modified SDVG),which assists inhibition of platelet adhesion and activation,promotion of ECs adhesion and enhancement of ***,In vivo single-cell transcriptome analysis revealed that the proportion of ECs in the cell composition of ECVG surpassed that of PCL,and the tailored endothelialization enabled to convert endothelial cells(ECs)into some specific ECs *** of the specific cluster,Endo_C5 cluster,was only detected in ***,our study integrates the engineered membrane vesicles of ECVs-N3 from native ECs for tailored endothelialization on SDVG by circumventing the limitations of living cells,and paves a new way to construct the alternative endothelialization in vessel remodeling following injury.

关键词： Small-diameter vascular grafts Tailored endothelialization Endothelial cell vesicles Click chemistry Vascular remodeling

Role of localized phonon vibration in luminescence performance of Pr doped Ba(Mg_(0.28)Zr_(0.16)Ta_(0.56))O_(3)transparent ceramics

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Journal of Rare Earths 2022年第11期40卷 1728-1733,I0003页

作者： zihao wang Zicheng Wen Fei Tang Kangzhen Tian Chuandong Zuo Lizhen Zhang Jiangsu Key Laboratory of Advanced Laser Materials and Devices School of Physics and Electronic EngineeringJiangsu Normal UniversityXuzhou 221116China Songshan Lake Materials Laboratory.Dongguan 523808 China

Oxygen-assisted high temperature solid-state reaction approach was employed for the fabrication of Pr activated Ba(Mg_(0.28)Zr_(0.16)Ta_(0.56))O_(3)transparent ceramic *** refinement of X-ray diffraction pattern was carried out to reveal the lattice parameters and crystal structural *** the blue-light excitation ofλ=473 nm,the phosphor exhibits a sharp intense red emission centered at645 nm,accompanied by several other weak *** evolution with temperature shows a significant luminescence quenching behavior,and the underlying multi-phonon interaction with optical center is revealed by proposing an unprecedent theoretical calculation *** a phonon effect is further confirmed from the red-shift of peak position with temperature,and the involved phonon energy of50.7 meV is determined from Raman scattering *** interestingly,the fitted results of transient-state PL spectra show a fluctuation of luminescence lifetime at various temperatures,further indicating a significant effect of phonon vibration in the system.

关键词： Luminescence quenching Phonon vibration Oxygen-assisted sintering PBMZT transparent ceramics Rare earths

Fault Analysis of Wind Power Rolling Bearing Based on EMD Feature Extraction

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Computer Modeling in Engineering & Sciences 2022年第1期130卷 543-558页

作者： Debiao Meng Hongtao wang Shiyuan Yang Zhiyuan Lv Zhengguo Hu zihao wang School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan523808China Yangzhou Yangjie Electronic Technology Co. Ltd.Yangzhou225008China

In a wind turbine,the rolling bearing is the critical ***,it has a high failure ***,the failure analysis and fault diagnosis of wind power rolling bearings are very important to ensure the high reliability and safety of wind power *** this study,the failure form and the corresponding reason for the failure are discussed ***,the natural frequency and the characteristic frequency are *** Empirical Mode Decomposition(EMD)algorithm is used to extract the characteristics of the vibration signal of the rolling ***,the eigenmode function is obtained and then filtered by the kurtosis ***,the relationship between the actual fault frequency spectrum and the theoretical fault frequency can be *** the fault analysis is *** enhance the accuracy of fault diagnosis,based on the previous feature extraction and the time-frequency domain feature extraction of the data after EMD decomposition processing,four different classifiers are added to diagnose and classify the fault status of rolling bearings and compare them with four different classifiers.

关键词： Wind turbine rolling bearing fault diagnosis empirical mode decomposition

Graph representation learning-based residential electricity behavior identification and energy management

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Protection and Control of Modern Power Systems 2023年第2期8卷 218-230页

作者： Xinpei Chen Tao Yu Zhenning Pan zihao wang Shengchun Yang School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China China Electric Power Research Institute Nanjing 210003China

It is important to achieve an efficient home energy management system(HEMS)because of its role in promoting energy saving and emission reduction for *** critical issues in an efficient HEMS are identification of user behavior and energy management ***,current HEMS methods usually assume perfect knowledge of user behavior or ignore the strong correlations of usage habits with different *** can lead to an insuffi-cient description of behavior and suboptimal management *** address these gaps,this paper proposes non-intrusive load monitoring(NILM)assisted graph reinforcement learning(GRL)for intelligent HEMS decision ***,a behavior correlation graph incorporating NILM is introduced to represent the energy consumption behavior of users and a multi-label classification model is used to monitor the ***,efficient identification of user behavior and description of state transition can be ***,based on the online updating of the behavior correlation graph,a GRL model is proposed to extract information contained in the ***,reliable strategy under uncer-tainty of environment and behavior is ***,the experimental results on several datasets verify the effec-tiveness of the proposed model.

关键词： Behavior correlation graph Graph reinforcement learning Home energy management system Multi-label classification Non-intrusive load monitoring

Quantitative determination of the electron beam radiation dose for SARS-CoV-2 inactivation to decontaminate frozen food packaging

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Virologica Sinica 2022年第6期37卷 823-830页

作者： zihao wang Zhentao Liang Rongguo Wei Hongwei wang Fang Cheng Yang Liu Songdong Meng Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing100101China University of Chinese Academy of Sciences Beijing100049China Department of Clinical Laboratory The Fifth Affiliated Hospital of Guangxi Medical UniversityNanning530022China China Isotope and Radiaton Corporation Beijing100089China Changchun CNNC CIRC Radiation Technology Co. LTDChangchun130022China

The spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) from cold-chain foods to frontline workers poses a serious public health threat during the current global pandemic. There is an urgent need to design concise approaches for effective virus inactivation under different physicochemical conditions to reduce the risk of contagion through viral contaminated surfaces of cold-chain foods. By employing a time course of electron beam exposure to a high titer of SARS-CoV-2 at cold-chain temperatures, a radiation dose of 2 kGy was demonstrated to reduce the viral titer from 10^(4.5)to 0 median tissue culture infectious dose(TCID_(50))/mL. Next,using human coronavirus OC43(HCoV-OC43) as a suitable SARS-CoV-2 surrogate, 3 kGy of high-energy electron radiation was defined as the inactivation dose for a titer reduction of more than 4 log units on tested packaging materials. Furthermore, quantitative reverse transcription PCR(RT-qPCR) was used to test three viral genes,namely, E, N, and ORF1ab. There was a strong correlation between TCID50and RT-qPCR for SARS-CoV-2detection. However, RT-qPCR could not differentiate between the infectivity of the radiation-inactivated and nonirradiated control viruses. As the defined radiation dose for effective viral inactivation fell far below the upper safe dose limit for food processing, our results provide a basis for designing radiation-based approaches for the decontamination of SARS-CoV-2 in frozen food products. We further demonstrate that cell-based virus assays are essential to evaluate the SARS-CoV-2 inactivation efficiency for the decontaminating strategies.

关键词： Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) Inactivation Electron beam radiation Food decontamination Cold-chain

Clustering compression-based computation-efficient calibration method for digital twin modeling of HVAC system

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Building Simulation 2023年第6期16卷 997-1012页

作者： Jie Lu Xiangning Tian Chenxin Feng Chaobo Zhang Yang Zhao Yiwen Zhang zihao wang Institute of Refrigeration and Cryogenics Zhejiang UniversityHangzhouChina Architectural Design&Research Institute of Zhejiang University Co. Ltd.HangzhouChina Center for Balance Architecture Zhejiang UniversityHangzhouChina Jiaxing Research Institute Zhejiang UniversityHangzhouChina

Digital twin is regarded as the next-generation technology for the effective operation of heating,ventilation and air conditioning(HVAC)*** is essential to calibrate the digital twin models to match them closely with real physical *** real-time calibration methods cannot satisfy such requirements since the computation loads are beyond acceptable *** address this challenge,this study proposes a clustering compression-based method to enhance the computation efficiency of digital twin model calibration for HVAC *** method utilizes clustering algorithms to remove redundant data for achieving data ***,a hierarchical multi-stage heuristic model calibration strategy is developed to accelerate the calibration of similar component *** basic idea is that once a component model is calibrated by heuristic methods,its optimal solution is utilized to narrow the ranges of parameter probability distributions of similar *** doing so,the calibration process can be guided,so that fewer iterations would be *** performance of the proposed method is evaluated using the operational data from an HVAC system in an industrial *** show that the proposed clustering compression-based method can reduce computation loads by 97%,compared to the conventional calibration *** the proposed hierarchical heuristic model calibration strategy is capable of accelerating the calibration process after clustering and saves 14.6%of the time costs.

关键词： heating,ventilation and air conditioning systems model calibration digital twin heuristic methods clustering compression hierarchical calibration

Position-aware pushing and grasping synergy with deep reinforcement learning in clutter

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 738-755页

作者： Min Zhao Guoyu Zuo Shuangyue Yu Daoxiong Gong zihao wang Ouattara Sie Intelligent Robotics Laboratory Faculty of Information TechnologyBeijing University of TechnologyBeijingChina Beijing Key Laboratory of Computational Intelligence and Intelligent Systems BeijingChina Laboratory of Biomechatronics and Intelligent Robotics(BIRO) Department of Mechanical and Aerospace EngineeringNorth Carolina State UniversityRaleighNorth CarolinaUSA

The positional information of objects is crucial to enable robots to perform grasping and pushing manipulations in *** effectively perform grasping and pushing manipu-lations,robots need to perceive the position information of objects,including the co-ordinates and spatial relationship between objects(e.g.,proximity,adjacency).The authors propose an end-to-end position-aware deep Q-learning framework to achieve efficient collaborative pushing and grasping in ***,a pair of conjugate pushing and grasping attention modules are proposed to capture the position information of objects and generate high-quality affordance maps of operating positions with features of pushing and grasping *** addition,the authors propose an object isolation metric and clutter metric based on instance segmentation to measure the spatial re-lationships between objects in cluttered *** further enhance the perception capacity of position information of the objects,the authors associate the change in the object isolation metric and clutter metric in cluttered environment before and after performing the action with reward function.A series of experiments are carried out in simulation and real-world which indicate that the method improves sample efficiency,task completion rate,grasping success rate and action efficiency compared to state-of-the-art end-to-end *** that the authors’system can be robustly applied to real-world use and extended to novel *** material is available at https://***/NhG\_k5v3NnM}{https://***/NhG\_k5v3NnM.

关键词： deep learning deep neural networks intelligent robots

Review on high-performance polymeric bipolar membrane design and novel electrochemical applications

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Aggregate 2024年第4期5卷 12-32页

作者： Junying Yan Weisheng Yu zihao wang Liang Wu Yaoming wang Tongwen Xu Key Laboratory of Precision and Intelligent Chemistry Anhui Provincial Engineering Laboratory of Functional Membrane Science and TechnologySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefeiAnhuiPeople’s Republic of China

Electrochemical devices allow the conversion and storage of renewable energy into high-value chemicals to mitigate carbon emissions,such as hydrogen production by water electrolysis,carbon dioxide reduction,and the electrochemical synthesis of *** regulation of the electrode pH environment is essential for optimizing the electrode reaction kinetics and enriching the catalyst *** in situ water dissociation(WD,H2O→H++OH-)in bipolar membranes(BPMs)offers the possibility of realizing this pH ***,the design principles of high-performance polymeric BPMs in electrochemical device applications are presented by analyzing and connecting WD principles and current–voltage *** structure–transport property relationships and membrane durability,including the chemical and mechanical stability of the anion-and cation-exchange layers as well as the integrality of the interfacial junction,are systematically *** advantages of BPMs in new electrochemical devices and major challenges to break through are also *** improved ion and water transport in the membrane layer and the minimized WD overpotential and ohmic loss at high current densi-ties are expected to facilitate the promotion of BPMs from conventional chemical production to novel electrochemical applications.

关键词： bipolar membrane electrochemistry reverse bias water dissociation

Design and test of the beam-based alignment sextupole experimental mover prototype for HEPS

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Radiation Detection Technology and Methods 2021年第4期5卷 570-575页

作者： Lei Wu Ningchuang Zhou Chunhua Li zihao wang Institute of High Energy Physics Chinese Academy of SciencesBeijingChina

Background Sextupoles in the storage ring of HEPS will be adjusted based on beam *** mechanical design of a beam-based alignment sextupole mover should be *** motion accuracy of the mover should be better than 5µm under 450 kg load of *** movement range is required to be±0.3 mm in both horizontal direction and vertical *** the first-order natural frequency of the magnet support system which include movers should be higher than 54 *** The purpose of this paper is to design a mover prototype and to realize its movement performance and equivalent *** to find the difficulties of development of this *** Interferometer is used to measure the motion accuracy,and pressure accelerometer is used to test the mover equivalent *** with the actual measurement results of equivalent stiffness,the natural frequency of the magnet support system is *** The motion accuracy reaches to 5.3µm in vertical direction and 1µm in horizontal direction,*** equivalent stiffness of the mover prototype can just able to meet the requirement of frequency of the HEPS magnet support *** movement coupling has occurred during the mover exercises in vertical *** Through the research of experimental mover prototype,the methods have been learnt to improve the movement performance and equivalent stiffness of the mover based on sliding friction under high ***,further researches and improvements are necessary to fix the coupling error during the vertical movement.

关键词： Beam-based alignment Mover Motion accuracy Equivalent stiffness