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Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 10-16 doi: 10.1007/s11684-021-0889-7

Abstract: The prompt and precise diagnosis of symptomatic and asymptomatic carriers of Plasmodium parasitesof the China Malaria Elimination Action Plan in 2010, China has formulated clear goals for malaria diagnosisVarious external quality assessments were implemented, and a national malaria diagnosis reference laboratorynetwork was established to strengthen the quality assurance in malaria diagnosis.This review summarizes the lessons about malaria diagnosis in the elimination phase, primarily including

Keywords： malaria     laboratory diagnosis     quality control     malaria elimination     China    

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Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 157-175 doi: 10.1007/s11684-021-0884-z

Abstract: Therefore, early diagnosis of cancer is indispensable in the timely prevention and effective treatmentExosome has recently become an attractive cancer biomarker in noninvasive early diagnosis because ofsensitivity, and remarkable specificity, suggesting promising biomedical applications in the early diagnosisregarding the assay of exosomes were summarized, and the superiorities of exosomes as markers for the early diagnosisMoreover, the recent challenges and further opportunities of developing effective biosensors for the early diagnosis

Keywords： biosensor     exosome     cancer diagnosis    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The experimental results indicate that the result of the tomographic diagnosis of a single defect isDefects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery.However, the inexplicability and low generalization ability of fault diagnosis models still bar themneural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosisadvantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosisThe multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z

Abstract: However, they have not been introduced into gas face seal diagnosis tasks because of the unacceptable

Keywords： surrogate model     gas face seal     fault diagnosis     nonlinear dynamics     tribology    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: Therefore, performing fault monitoring and diagnosis on the traction system of the HST is necessary.Machine learning has made considerably advancements in traction system fault diagnosis; however, a comprehensiveaims to review the research and application of machine learning in the field of traction system fault diagnosisThen, the research and application of machine learning in traction system fault diagnosis are comprehensivelyFinally, the challenges for accurate fault diagnosis under actual operating conditions are revealed,

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 275-279 doi: 10.1007/s11684-010-0101-y

Abstract: In the investigations of immunopathogenesis, diagnosis, and treatment of RSA since the late 1980s, itSystemic etiological screening process and diagnosis systems of RSA with immune type were developed,and anticardiolipin (ACL or ACA) + anti-β2-GP1 antibody combining multiple assays for effective diagnosisThe research achievement leads to great progress in the diagnosis and treatment of RSA in China.

Keywords： spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: approaches based on artificial neural network and fuzzy algorithm for plant machinery, such as the diagnosismethod using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method basedon the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theoryand certainty factor model; and the diagnosis method on the basis of the adaptive filtering techniqueThese intelligent diagnostic methods have been successfully applied to condition diagnosis in different

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3

Abstract: Gearbox fault diagnosis based on vibration sensing has drawn much attention for a long time.Numerical simulation and experimental results demonstrate the proposed method can realize gear fault diagnosisThe identified GMS has a clear physical meaning and is thus very useful for fault diagnosis of the complicated

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Current situation and development of prenatal diagnosis in China

Xu-Ming BIAN, Qi GUO, Qing-Wei QI

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 271-274 doi: 10.1007/s11684-010-0100-z

Abstract: Prenatal screening and diagnosis are major methods for control of birth defects, which is a very importantHere, we review current situation and development of prenatal screening and diagnosis in mainland China, including prenatal screening and prenatal diagnosis of fetal chromosome abnormalities, non-invasiveprenatal diagnostic techniques and prenatal diagnosis of monogenic diseases, polygenic disease and congenitalepidemiology of birth defects and genetic diseases in China and related ethical issues of prenatal diagnosis

Keywords： prenatal diagnosis     prenatal screening     China    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: Existing fault diagnosis methods usually assume that there are balanced training data for every machineIt will degrade the performance of fault diagnosis methods significantly.To address this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-basedconvolution is performed on the constructed SuperGraph to achieve imbalanced training dataset fault diagnosisplatform, and the results show that the proposed method can effectively achieve rotating machinery fault diagnosis

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Multislice computed tomography angiography in the diagnosis of cardiovascular disease: 3D visualizations

Zhonghua Sun

Frontiers of Medicine 2011, Volume 5, Issue 3,   Pages 254-270 doi: 10.1007/s11684-011-0153-7

Abstract: Multislice computed tomography (CT) has been widely used in clinical practice for the diagnosis of cardiovascularThe imaging diagnosis of cardiovascular disease is based on a combination of two-dimensional (2D) and

Keywords： cardiovascular disease     multislice computed tomography     three-dimensional reconstruction     diagnosis     visualization    

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Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: Their condition monitoring and fault diagnosis are essential in ensuring the safety and reliability ofVibration and discharge pressure signals are two common signals used for the fault diagnosis of axialrelated to multi-sensor data fusion for the pump fault diagnosis are limited.This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial pistonResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

Keywords： axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

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Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 106-110 doi: 10.1007/s11465-009-0089-7

Abstract: This paper mainly presents a distributed monitoring and diagnosis system for the hydraulic system ofThe hardware of the distributed condition monitoring and fault diagnosis system is designed.The experiments and applications indicate that the distributed condition monitoring and fault diagnosissystem can effectively realize its function of real-time online condition monitoring and fault diagnosis

Keywords： machinery     hydraulic system     distributed condition monitoring     controller area net (CAN) field bus     fault diagnosis    

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New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 249-253 doi: 10.1007/s11465-011-0124-3

Abstract:

This paper introduces the basic conception of information fusion and some fusion diagnosis methodsThen, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of

Keywords： rotating machinery     information fusion     fault diagnosis     Information entropy     distance of the information    

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Title Author Date Type Operation

Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges

Journal Article

Biosensor-based assay of exosome biomarker for early diagnosis of cancer

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis

Journal Article

Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Journal Article

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Current situation and development of prenatal diagnosis in China

Xu-Ming BIAN, Qi GUO, Qing-Wei QI

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Multislice computed tomography angiography in the diagnosis of cardiovascular disease: 3D visualizations

Zhonghua Sun

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

Distributed monitoring and diagnosis system for hydraulic system of construction machinery

Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,

Journal Article

New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Journal Article