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Sparsity-Enhanced Model-Based Method for Intelligent Fault Detection of Mechanical Transmission Chain in Electrical Vehicle

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2495-2511页

作者： Wangpeng He Yue Zhou xiaoya guo Deshun Hu Junjie Ye School of Aerospace Science and Technology Xidian UniversityXi’an710071China Guangzhou Institute of Technology Xidian UniversityGuangzhou510555China Research Center for Applied Mechanics Key Laboratory of Ministry of Education for Electronic Equipment Structure DesignXidian UniversityXi’an710071China

In today’s world,smart electric vehicles are deeply integrated with smart energy,smart transportation and smart *** electric vehicles(EVs),owing to the harsh working conditions,mechanical parts are prone to fatigue damages,which endanger the driving safety of *** practice has proved that the identification of periodic impact characteristics(PICs)can effectively indicate mechanical *** paper proposes a novel model-based approach for intelligent fault diagnosis ofmechanical transmission train in *** essential idea of this approach lies in the fusion of statistical information and model information froma dynamic *** the algorithm,a novel fractal wavelet decomposition(FWD)is used to investigate the time-frequency representation of the input *** on the sparsity of the PIC model in the Hilbert envelope spectrum,amethod for evaluating PIC energy ratio(PICER)is defined based on an over-complete Fourier dictionary.A compound indicator considering kurtosis and PICER of dynamic signal is *** this index,evaluations of the impulsiveness of the cycle-stationary process can be enabled,thus avoiding serious interference from the sporadic impact during *** robustness of the proposed approach to noise is demonstrated via numerical simulations,and an engineering application is employed to validate its effectiveness.

关键词： Electric vehicles fractal wavelet decomposition fault diagnosis sparse representation cycle-stationary process

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A single magnetic nanoplatform-mediated combination therapy of immune checkpoint silencing and magnetic hyperthermia for enhanced anti-cancer immunity

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Nano Research 2023年第8期16卷 11206-11215页

作者： Zhiyu Yang xiaoya guo Meng Meng Tong Li Huapan Fang Zhaohui Tang Huayu Tian Xuesi Chen Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China School of Applied Chemistry and Engineering University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Jilin Biomedical Polymers Engineering Laboratory Changchun 130022China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China

As a revolutionary cancer treatment strategy,immunotherapy has attracted great ***,the effect of immunotherapy such as immune checkpoint blockade(ICB)is usually limited by insufficient immune response in the ***,a polycation-based magnetic nanocluster platform was developed to load therapeutic nucleic acids,which could achieve gene therapy-mediated ICB and efficient magnetic hyperthermia therapy(MHT).The silencing of immune checkpoints together with MHT-induced immunogenic cell death(ICD)effectively alleviated the immune escape of cancer cells and significantly enhanced the visibility of cancer cells to the immune *** combined treatment strategy activated a strong adaptive anti-cancer immune response in vivo,greatly inhibiting tumor growth,metastasis and recurrence.

关键词： magnetic nanoclusters gene therapy immune checkpoint silencing magnetic hyperthermia therapy cancer immunotherapy

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Machine Learning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification

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Computer Modeling in Engineering & Sciences 2020年第5期123卷 631-646页

作者： Caining Zhang Xiaopeng guo xiaoya guo David Molony Huaguang Li Habib Samady Don PGiddens Lambros Athanasiou Dalin Tang Rencan Nie Jinde Cao School of Biological Science and Medical Engineering Southeast UniversityNanjing210096China School of Information Science and Engineering Yunnan UniversityKunming650091China School of Science Nanjing University of Posts and TelecommunicationsNanjing210023China Department of Medicine Emory University School of MedicineAtlantaGA30307USA The Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of TechnologyAtlantaGA30332USA Institute for Medical Engineering and Science Massachusetts Institute of TechnologyCambridgeMA02139USA Mathematical Sciences Department Worcester Polytechnic InstituteWorcesterMA 01609USA School of Mathematics Southeast UniversityNanjing210096China

Optical coherence tomography(OCT)is a new intravascular imaging technique with high resolution and could provide accurate morphological information for plaques in coronary ***,its segmentation is still commonly performed manually by experts which is *** aim of this study was to develop automatic techniques to characterize plaque components and quantify plaque cap thickness using 3 machine learning methods including convolutional neural network(CNN)with U-Net architecture,CNN with Fully convolutional DenseNet(FC-DenseNet)architecture and support vector machine(SVM).In vivo OCT and intravascular ultrasound(IVUS)images were acquired from two patients at Emory University with informed consent *** OCT image slices which included lipid core and with acceptable image quality were selected for our *** segmentation from imaging experts was used as the gold standard for model training and *** OCT has limited penetration,virtual histology IVUS was combined with OCT data to improve reliability.A 3-fold cross-validation method was used for model training and *** overall tissue classification accuracy for the 18 slices studied(total classification database sample size was 8580096 pixels)was 96.36%and 92.72%for U-Net and FC-DenseNet,*** best average prediction accuracy for lipid was 91.29%based on SVM,compared to 82.84%and 78.91%from U-Net and FC-DenseNet,*** overall average accuracy(Acc)differentiating lipid and fibrous tissue were 95.58%,92.33%and 81.84%for U-Net,FC-DenseNet and SVM,*** average errors of U-Net,FC-DenseNet and SVM from the 18 slices for cap thickness quantification were 8.83%,10.71%and 15.85%.The average relative errors of minimum cap thickness from 18 slices of U-Net,FC-DenseNet and SVM were 17.46%,13.06%and 22.20%,*** conclude,CNN-based segmentation methods can better characterize plaque compositions and quantify plaque cap thickness on

关键词： Image segmentation plaque cap thickness OCT CNN SVM

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CD47KO/CRT dual-bioengineered cell membrane-coated nanovaccine combined with anti-PD-L1 antibody for boosting tumor immunotherapy

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Bioactive Materials 2023年第4期22卷 211-224页

作者： Shengyang Liu Jiayan Wu Yuanji Feng xiaoya guo Tong Li Meng Meng Jie Chen Daquan Chen Huayu Tian School of Pharmacy Key Laboratory of Molecular Pharmacology and Drug Evaluation(Yantai University)Ministry of EducationCollaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of ShandongYantai UniversityYantai264005PR China Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun130022PR China College of Chemistry and Chemical Engineering Xiamen UniversityXiamen361005PR China

Tumor vaccines trigger tumor-specific immune responses to prevent or treat tumors by activating the hosts’immune systems,and therefore,these vaccines have potential clinical ***,the low immunogenicity of the tumor antigen itself and the low efficiency of the vaccine delivery system hinder the efficacy of tumor vaccines that cannot produce high-efficiency and long-lasting antitumor immune ***,we constructed a nanovaccine by integrating CD47KO/CRT dual-bioengineered B16F10 cancer cell membranes and the unmethylated cytosine-phosphate-guanine(CpG)*** PEI25k was used to load unmethylated cytosine-phosphate-guanine(CpG)through electrostatic adsorption to prepare PEI25k/CpG nanoparticles(PEI25k/CpG-NPs).CD47KO/CRT dual-bioengineered cells were obtained by CRISPR-Cas9 gene editing technology,followed by the cell surface translocation of calreticulin(CRT)to induce immunogenic cell death(ICD)in ***,the extracted cell membranes were coextruded with PEI25k/CpG-NPs to construct the CD47KO/CRT dual-bioengineered cancer cell membrane-coated nanoparticles(DBE@CCNPs).DBE@CCNPs could promote endocytosis of antigens and adjuvants in murine bone marrow derived dendritic cells(BMDCs)and induce their maturation and antigen *** avoid immune checkpoint molecule-induced T cell dysfunction,the immune checkpoint inhibitor,the anti-PD-L1 antibody,was introduced to boost tumor immunotherapy through a combination with the DBE@CCNPs *** combination therapy strategy can significantly alleviate tumor growth and may open up a potential strategy for clinical tumor immunotherapy.

关键词： CRISPR-Cas9 Dual-bioengineered cell membrane Immune checkpoint blockade Nanovaccine Tumor immunotherapy

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Erosion-Induced Inflammation on Coronary Plaque Stress/Strain and Flow Shear Stress Calculations Using OCT-Based FSI Computational Model

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医用生物力学 2019年第A1期34卷 112-113页

作者： Liang Wang Luping He Rui Lv xiaoya guo Chun Yang Haibo Jia Dalin Tang School of Biological Science and Medical Engineering Southeast UniversityNanjing210096China Department of Cardiology The 2nd Affiliated Hospital of Harbin Medical UniversityHarbin150086China Department of Mathematics Southeast UniversityNanjing210096China Network Technology Research Institute China United Network Comm.Co.Ltd.BeijingChina Mathematical Sciences Department Worcester Polytechnic InstituteWorcesterMA01609USA

Plaque erosion,together with plaque rupture,is a common cause for acute coronary syndrome(ACS).Plaque erosion alone is responsible for about one third of the patients with *** plaque is defined as thrombosed,endothelium-absent and non-ruptured but often-inflamed plaques based on histological *** though there is efficient imaging technologies to detect the eroded plaque in vivo and tailored treatment strategy has also been developed for ACScaused by erosion in clinics,the pathogenesis mechanisms that cause plaque erosion are not fully *** is widely postulated that thrombus formation and endothelial apoptosis(the precursors of plaque erosion)have closed association with biomechanical conditions in the coronary *** of the mechanical conditions in the eroded plaque could advance our knowledge in understanding the formation of plaque *** this end,patient-specific OCT-based fluid-structure interaction(FSI)models were developed to investigate the plaque biomechanical conditions and investigate the impact of erosioninduced inflammation on biomechanical *** vivo OCTand Biplane X-ray angiographic data of eroded coronary plaque were acquired from one male patient(age:64). OCT images were segmented manually with external elastic membrane contour and the trailing edge of the lipid-rich necrotic core(lipid)assumed to have positive remodeling ratio *** with luminal surface having direct contact with intraluminal thrombus on OCT images were identified erosion *** of OCT and biplane X-ray angiographic data were performed to obtain the 3D coronary ***-based FSI models with pre-shrink-stretch process and anisotropic material properties were constructed following previously established *** reflect tissue weakening caused by erosion-induced inflammation,the material stiffness of plaque intima at the erosion site was adjust to one tenth of un-eroded fibrous plaque *** FSI models were c

关键词： plaque erosion inflammation fluid-structure interaction OCT acute coronary syndrome

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Automatic Segmentation for Intracoronary OCT Image Based on Convolutional Neural Network and Support Vector Machine Methods

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医用生物力学 2019年第A1期34卷 95-96页

作者： Caining Zhang Huaguang Li xiaoya guo David Molony Xiaopeng guo Habib Samady Don PGiddens Lambros Athanasiou Rencan Nie Jinde Cao Dalin Tang School of Biological Science&Medical Engineering Southeast UniversityNanjing210096China School of Information Science&Engineering Yunnan UniversityKunming650091China School of Mathe matics Southeast UniversityNanjing210096China Department of Medicine Emory University School of MedicineAtlantaGA30307USA The Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of TechnologyAtlantaGA30332USA Institute for Medical Engineering&Science Massachusetts Institute of TechnologyCambridgeMA02139USA Mathematical Sciences Department Worcester Polytechnic InstituteWorcesterMA01609USA

Background Cardiovascular diseases are closely associated with atherosclerotic plaque development and *** medical imaging techniques such as magnetic resonance imaging(MRI)and intravascular ultrasound(IVUS)were unable to identify vulnerable plaques due to their limited ***,optical coherence tomography(OCT)is an advanced intravascular imaging technique developed in recent years which has high resolution approximately 10 microns and could provide more accurate morphology of coronary *** particular,it has the ability to identify plaques with fibrous cap thickness<65μm,an accepted threshold value for vulnerable ***,segmentation of OCT images in clinic is still mainly performed manually by physicians which is time consuming and *** overcome time consumption,several methodologies have been proposed for automatic segmentation of OCT images but most of these methods were still limited by intricate image preprocessing and expensive *** this research,two automatic segmentation methods for intracoronary OCT image based on support vector machine(SVM)and convolutional neural network(CNN)were performed to identify the plaque region and characterize plaque *** In vivo IVUS and OCT coronary plaque data from 5 patients were acquired at Emory University with patient’s consent *** were obtained from ILUMIEN OPTIS System(***,Minnesota,MN).The OCT catheter was traversed to the segment of interest and the catheter pullback was limited at a rate of 20 mm/*** the OCT image acquisition,the IVUS catheter was traversed distally though the artery to the same coronary segment(Volcano Therapeutics,Rancho Cordova)and the catheter pullback speed was at a standard rate of 0.5 mm/***-seven matched IVUS and OCT slices with good image quality and lipid cores were selected for our segmentation *** OCT segmentation was performed by experts and used as gold standard in the auto

关键词： atherosclerotic plaques OCT CNN SVM image segmentation

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生物质快速裂解油的催化裂解精制

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化学反应工程与工艺 2005年第3期21卷 227-233页

作者：郭晓亚颜涌捷上海大学嘉定校区化工系上海201800 华东理工大学能源化工系上海200237

在固定床反应器内采用不同催化剂进行了生物质快速裂解油的催化裂解。在温度340～420℃,质量空速2.9～5.6h^(-1)的条件下考察了催化剂、温度、重量空速诸因素对精制各产物产率的影响。结果表明,在重量空速3.7h^(-1),温度380℃时,获得了... 详细信息

在固定床反应器内采用不同催化剂进行了生物质快速裂解油的催化裂解。在温度340～420℃,质量空速2.9～5.6h^(-1)的条件下考察了催化剂、温度、重量空速诸因素对精制各产物产率的影响。结果表明,在重量空速3.7h^(-1),温度380℃时,获得了较高的精制生物油产率,44.68%;用 HZSM-5(50)催化剂得到了较高的有机相产率;而用高岭土催化剂时结焦量较低。催化剂再生实验表明,结焦是催化裂解中致使催化剂失活和使用寿命降低的主要原因。产物分析表明,精制油中的含氧化合物如有机酸、酯、醇、酮、醛的含量大大降低,而不含氧的芳香族碳氢化合物和多环芳香碳氢化合物含量增加了。

关键词：裂解生物质油固定床反应器催化裂解再生催化剂精制

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Predicting Coronary Plaque Morphology Changes Based on Multimodality FSI Models Using Follow-Up IVUS and OCT Data

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医用生物力学 2019年第A1期34卷 93-94页

作者： xiaoya guo Don PGiddens David Molony Habib Samady Chun Yang Jie Zheng Mitsuaki Matsumura Gary SMintz Akiko Maehara Liang Wang Dalin Tang Department of Mathematics Southeast UniversityNanjing210096China The Wallace H.Coulter Department of Biomedical Engineering Georgia Institute of TechnologyAtlantaGA30332USA Department of Medicine EmoryUniversitySchool of MedicineAtlantaGA30307USA Mathematical Sciences Department Worcester PolytechnicInstituteWorcesterMA01609USA Mallinckrodt Institute of Radiology Washington UniversitySt.LouisMO63110USA The Cardiovascular Research Foundation Columbia UniversityNew YorkNY10022USA School of BiologicalScience and Medical Engineering Southeast UniversityNanjing210096China

Background Current bottleneck of patient-specific coronary plaque model construction is the resolution of in vivo medical *** threshold of cap thickness of vulnerable coronary plaques is 65 microns,while the resolution of in vivo coronary intravascular ultrasound(IVUS)images is 150-200 microns,which is not enough to identify vulnerable plaques with thin caps and construct accurate biomechanical plaque *** coherence tomography(OCT)with a 15-20μm resolution has the capacity to identify thin fibrous *** and OCT images could complement each other and provide for more accurate plaque morphology,especially,fibrous cap thickness measurements.A modeling approach combining IVUS and OCT was introduced in our previous publication for cap thickness quantification and more accurate cap stress/strain *** this paper,patient baseline and follow-up IVUS and OCT data were acquired and multimodality image-based Fluidstructure interaction(FSI)models combining 3D IVUS,OCT,angiography were constructed to better quantify human coronary atherosclerotic plaque morphology and plaque stress/strain conditions and investigate the relationship of plaque vulnerability and morphological and mechanical *** Baseline and 10-Month follow-up in vivo IVUS and OCT coronary plaque data were acquired from one patient with informed consent ***-registration and segmentation of baseline and follow-up IVUS and OCT images were performed for modeling *** and follow-up 3D FSI models based on IVUS and OCT were constructed to simulate the mechanical factors which integrating plaque morphology were employed to predict plaque *** 3D models were solved by ADINA(ADINA R&D,Watertown,MA,USA).The quantitative indices of cap thickness,lipid percentage were classified according to histological literatures and denoted as Cap Index and Lipid *** Index,Lipid Index and Morphological Plaque Vulnerability Index(MPVI)were chosen to quantify plaq

关键词： coronary plaque OCT IVUS vulnerability patient-specific FSI model

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一类分数阶共位群内捕食模型的动力学分析

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辽宁工程技术大学学报（自然科学版） 2022年第2期41卷 189-192页

作者：柴岩郭晓雅辽宁工程技术大学理学院辽宁阜新123000

针对整数阶捕食模型种群间常数捕食率具有局限性的问题,结合分数阶动力系统理论和种群捕食特性提出一类具有Holling-Ⅱ型功能反应的分数阶共位群内捕食模型.利用分数阶微分方程的稳定性理论对捕食模型的动力学特性进行分析,给出模型在... 详细信息

针对整数阶捕食模型种群间常数捕食率具有局限性的问题,结合分数阶动力系统理论和种群捕食特性提出一类具有Holling-Ⅱ型功能反应的分数阶共位群内捕食模型.利用分数阶微分方程的稳定性理论对捕食模型的动力学特性进行分析,给出模型在正平衡点处局部渐近稳定演化状态的充分性判据.研究结果表明,该模型有且仅有一个正平衡点,通过调节模型参数可使各个种群达到稳定生存、持续演化的状态.数值实验验证了理论推导的有效性和准确性.研究结论拓宽了分数阶捕食模型的适用性,有助于生态种群稳定的有效调控.

关键词：分数阶捕食模型共位群内功能反应正平衡点稳定演化状态

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近临界水中薯蓣皂苷的水解反应

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化学反应工程与工艺 2006年第6期22卷 502-506页

作者：朱宪朱宁王振武郭晓亚上海大学环境与化学工程学院化工系上海201800

在近临界水中研究了薯蓣皂苷水解成薯蓣皂苷元的工艺和反应动力学,分别考察了反应温度、压力、时间等因素对薯蓣皂苷元收率的影响。实验结果表明,近临界水解法的较佳工艺条件为260℃,25 MPa,反应10 min。在此条件下,薯蓣皂苷元收率为1.... 详细信息

在近临界水中研究了薯蓣皂苷水解成薯蓣皂苷元的工艺和反应动力学,分别考察了反应温度、压力、时间等因素对薯蓣皂苷元收率的影响。实验结果表明,近临界水解法的较佳工艺条件为260℃,25 MPa,反应10 min。在此条件下,薯蓣皂苷元收率为1.46%。动力学研究结果表明,薯蓣皂苷在近临界水中水解是一级反应,活化能为76.7 kJ/mol,指前因子k0为5.99×104s-1。

关键词：近临界水水解薯蓣皂苷薯蓣皂苷元反应动力学

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