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Analysis of ultrasonographic diagnosis of fetal malformation

Li Huajie

Strategic Study of CAE 2014, Volume 16, Issue 5,   Pages 70-72

Abstract:

To investigate the prenatal ultrasound diagnosis (B ultrasound) sonographicof pregnancy for fetal malformation，the production of pregnant womenby ultrasonography，routine obstetricfetal system，measurement，observation of fetal malformation. 42 cases of fetal malformation，2 cases weremissed diagnosis.conclusion.Fetal ultrasonography has important clinical value in diagnosis of malformation.

Keywords： obstetric B ultrasound     fetal malformation     prenatal diagnosis of fetal malformation rate    

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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 congenitaldiagnosis.

Keywords： prenatal diagnosis     prenatal screening     China    

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Measurement of the normal fetal cardiovascular diameters by echocardiography during the second trimester

Ji Xueqin,Ding Lili,Suo Yaoyu,Shi Ruixian, Liu Yanxiang,Chen Yaoping

Strategic Study of CAE 2015, Volume 17, Issue 6,   Pages 77-81

Abstract:

To determine the normal range of the inner diameters of the anatomical structures in the fetal cardiovascularThe inner diameters of the fetal atria, ventricles, and great vessels increased with gestational ageIn Ningxia, determining the normal range of fetal cardiovascular diameters during the second trimesterallows the evaluation of fetal cardiovascular system development and provides an important basis forthe accurate identification of fetal congenital heart disease.

Keywords： fetal heart     ultrasound     normal range    

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Pluripotent stem cells exhibiting similar characteristics can be isolated from human fetal bone marrow

FANG Baijun, SONG Yongping, LIN Quande, ZHAO Chunhua, SHI Mingxia

Frontiers of Medicine 2007, Volume 1, Issue 2,   Pages 185-191 doi: 10.1007/s11684-007-0035-1

Abstract: Previously, we reported that a cell population derived from human fetal bone marrow (BM), termed hereIn this study, we further isolated pluripotent stem cells from human fetal heart, liver, muscle, lungIt was found that the phenotype of the culture-expanded pluripotent stem cells from different fetal tissuesThese pluripotent stem cells with characteristics similar to fetal BM-derived Flk1CD34 PPSCs can be selectedIn addition, as fetal BM-derived Flk1CD34 PPSCs, these pluripotent stem cells from different fetal tissues

Keywords： endothelial     phenomenon     ectodermal     Flk1CD34 postembryonic     irradiated non-obese    

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Classification and treatment of orbital venous malformations: an updated review

Tianyuan Li, Renbing Jia, Xianqun Fan

Frontiers of Medicine 2019, Volume 13, Issue 5,   Pages 547-555 doi: 10.1007/s11684-018-0623-2

Abstract: Orbital venous malformation (OVM) is a congenital vascular disease.As a common type of vascular malformation in the orbit, OVM may result in vision deterioration and cosmetic

Keywords： orbit     venous malformation     treatment     sclerotherapy     laser     embolization    

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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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The combined effects of biomass and temperature on maximum specific ammonia oxidation rate in domestic

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1411-9

Abstract:

• Actual SAORs was determined using MLVSS and temperature.

Keywords： Specific ammonia oxidation rate     Sequencing batch reactor     Biomass     Temperature coefficient     Model simulation    

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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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Title Author Date Type Operation

Analysis of ultrasonographic diagnosis of fetal malformation

Li Huajie

Journal Article

Current situation and development of prenatal diagnosis in China

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

Journal Article

Measurement of the normal fetal cardiovascular diameters by echocardiography during the second trimester

Ji Xueqin,Ding Lili,Suo Yaoyu,Shi Ruixian, Liu Yanxiang,Chen Yaoping

Journal Article

Pluripotent stem cells exhibiting similar characteristics can be isolated from human fetal bone marrow

FANG Baijun, SONG Yongping, LIN Quande, ZHAO Chunhua, SHI Mingxia

Journal Article

Classification and treatment of orbital venous malformations: an updated review

Tianyuan Li, Renbing Jia, Xianqun Fan

Journal Article

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

The combined effects of biomass and temperature on maximum specific ammonia oxidation rate in domestic

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