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Characteristic of the equivalent impedance for an Article

Zhi-zhong TAN, Hong ZHU, Jihad H. ASAD, Chen XU, Hua TANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 2070-2081 doi: 10.1631/FITEE.1700037

Abstract: resistor network, and it is a problem worthy of study since the equivalent impedance has many different propertiesarbitrary boundary is studied based on the resistance formula, and the oscillation characteristics and resonanceproperties of the equivalent impedance are discovered.

Keywords： RLC network     Resonance properties     Oscillation characteristics     Amplitude-frequency    

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New Formulas of Dynamic Characteristic of Hydrostatic Bearing and Its Testified Experiment

Meng Xinzhai,Yang Jianxi,Meng Zhaoyan

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 62-66

Abstract:

Hydrostatic bearing has many advantages, such as high accuracy of movement, low power consumption of friction, small deflection of bearing center, high capacity of load-carrying, powerful absorption of vibration and long life of operation, etc. But gcx>d static performance can fully be displayed only under good dynamic performance of hydrostatic bearing. The moving and rotating accuracy are determined by its static performance and working conditions are decided by its dogmatic performance. According to mechanic balance and flow continuity, the transfer function of hydrostatic bearing system is established in this paper. On the basis of this transfer function, the new formulas of dynamic performances, namely the formulas of system stability, dynamic stiffness, nature frequency, maximum amplitude are derived. The bearing clearance of hydrostatic bearing with new variable, restrictor can be controlled in constant or near constant. But the clearance of hydrostatic bearing with constant restrictor may be changed into little clearance at the loading on it. Therefore, there are many differences between their dynamic characteristics.

Keywords： dynamic properties     transfer functions     dynamic stiffness     resonance     frequency     hydrostatic bearing    

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Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Frontiers of Structural and Civil Engineering   Pages 981-993 doi: 10.1007/s11709-023-0979-5

Abstract: of a linear elastic simple Euler–Bernoulli beam, and investigated the forced modal oscillation and resonanceThe analysis revealed that a moving load induces high-harmonic forced resonance amplification when theTo verify the occurrence of high-harmonic forced resonance, numerical tests were conducted on single-spanThe forced resonance amplification characteristics of the fundamental mode for beam response estimationThe results reveal that the high-harmonic forced resonance may be significant for the investigated beams

Keywords： forced vibration     linear Euler beam     moving load     harmonic structure     frequency modulation     end restraints    

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Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 67-72 doi: 10.1007/s11709-009-0007-4

Abstract: It is necessary to study how vehicles influence the vortex-excited resonance of vehicle-bridge systems, because lock-in wind speed is low and vortex-excited resonance is sensitive to any change in the mainBased on the Shanghai Bridge over the Yangtse River, the vortex-excited resonance of a 1∶60 scale sectionalThe result indicates that: 1) for the bridge with vehicles, the vertical vortex-excited resonance isTherefore, the influence of vehicles on vortex-excited resonance performance of vehicle-bridge systems

Keywords： vehicle-bridge system     sectional mode     vortex-excited resonance     wind tunnel test     mode shape correction    

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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Frontiers of Medicine   Pages 993-1005 doi: 10.1007/s11684-023-0989-7

Abstract: The functional magnetic resonance imaging (fMRI) data were analyzed for investigating brain changes induced

Keywords： acupuncture     migraine     fMRI     metabolome     proteome    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipient    

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Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 36-42

Abstract: conduit respectively , and elaborately structuring conditions of water jet system , a strong hydraulic resonanceThe conditions of desirable resonance are searched by direct search algorithm of Matlab .

Keywords： pulsed water- jet     hydraulic resonance     method of characteristics     variable time step method     Matlab    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Frontiers of Medicine 2020, Volume 14, Issue 5,   Pages 630-641 doi: 10.1007/s11684-019-0718-4

Abstract: Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

Keywords： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging    

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Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 4-13 doi: 10.1007/s11684-013-0248-4

Abstract:

The high prevalence of diabetes and diabetic complications has caused a huge burden on the modern society. Although scientific advances have led to effective strategies for preventing and treating diabetes over the past several decades, little progress has been made toward curing the disease or even getting it under control, from a public health and overall societal standpoint. There is still a lack of reliable biomarkers indicative of metabolic alterations associated with diabetes and different drug responses, highlighting the need for the development of early diagnostic and prognostic markers for diabetes and diabetic complications. The emergence of metabolomics has allowed researchers to systemically measure the small molecule metabolites, which are sensitive to the changes of both environmental and genetic factors and therefore, could be regarded as the link between genotypes and phenotypes. During the last decade, the progression made in metabolomics has provided insightful information on disease development and disease onset prediction. Recent studies using metabolomics approach coupled with statistical tools to predict incident diabetes revealed a number of metabolites that are significantly altered, including branched-chain and aromatic amino acids, such as isoleucine, leucine, valine, tyrosine and phenylalanine, as diagnostic or highly-significant predictors of future diabetes. This review summarizes the current findings of metabolomic studies in human investigations with the most common form of diabetes, type 2 diabetes.

Keywords： metabolomics     type 2 diabetes     metabolic pathway     mass spectrometry     nuclear magnetic resonance (NMR)    

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Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions Review

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Engineering 2015, Volume 1, Issue 4,   Pages 475-489 doi: 10.15302/J-ENG-2015103

Abstract:

The research roots of 19fluorine (19F) magnetic resonance imaging (MRI) datewas adopted worldwide with an endless array of applications and imaging approaches, making magnetic resonance

Keywords： fluorine     magnetic resonance imaging (MRI)     dual-tuned coil     perfluorocarbon     angiogenesis     cell labeling    

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Effect of different high viscosity modifiers on rheological properties of high viscosity asphalt

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1390-1399 doi: 10.1007/s11709-021-0775-z

Abstract: The purpose of this study was to investigate the rheological properties of HVA prepared using different

Keywords： high viscosity asphalt     rheological properties     rubber     modifier     viscosity    

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LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 545-558 doi: 10.15302/J-FASE -2020349

Abstract: As the medium for crop growth, soils and their properties are important in affecting crop water productivityThis review examines the effects of soil physical, chemical, and microbial properties on crop water productivity

Keywords： crop water productivity     crop yield     soil chemical properties     soil microbial properties     soil physicalproperties     water consumption    

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Effect of earth reinforcement, soil properties and wall properties on bridge MSE walls

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1209-1221 doi: 10.1007/s11709-021-0764-2

Abstract: Mechanically stabilized earth (MSE) retaining walls are popular for highway bridge structures. They have precast concrete panels attached to earth reinforcement. The panels are designed to have some lateral movement. However, in some cases, excessive movement and even complete dislocation of the panels have been observed. In this study, 3-D numerical modeling involving an existing MSE wall was undertaken to investigate various wall parameters. The effects of pore pressure, soil cohesion, earth reinforcement type and length, breakage/slippage of reinforcement and concrete strength, were examined. Results showed that the wall movement is affected by soil pore pressure and reinforcement integrity and length, and unaffected by concrete strength. Soil cohesion has a minor effect, while the movement increased by 13–20 mm for flexible geogrid reinforced walls compared with the steel grid walls. The steel grid stresses were below yielding, while the geogrid experienced significant stresses without rupture. Geogrid reinforcement may be used taking account of slippage resistance and wall movement. If steel grid is used, non-cohesive soil is recommended to minimize corrosion. Proper soil drainage is important for control of pore pressure.

Keywords： mechanically stabilized earth walls     precast concrete panels     backfill soil     finite element modeling     earth reinforcement    

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Fault tolerant control strategy for modular PWM current source inverter

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 228-238 doi: 10.1007/s11708-022-0852-6

Abstract: harmonic current feedback is proposed after analyzing the influence of the transformer ferromagnetic resonanceIt has been demonstrated that the proposed method effectively suppresses the resonance caused by the

Keywords： current source converter (CSC)     fault-tolerant control     space vector modulation     active damping     resonance    

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Mechanical properties and microstructure of multilayer graphene oxide cement mortar

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1058-1070 doi: 10.1007/s11709-021-0747-3

Abstract: This study reports on the effects of multilayer graphene oxide (MGO) on compressive strength, flexural strength, and microstructure of cement mortar. The cement mortar was prepared with type P. II. 52.5 Portland cement, standard sand, and MGO. Four mixes were prepared with inclusion of MGO (0%, 0.02%, 0.04%, and 0.06% by weight of cement). The testing result shows that the compressive of GO-cement mortar increased by 4.84%–13.42%, and the flexural strength increased by 4.37%–8.28% at 3 d. GO-cement mortar’s compressive strength and flexural strength at 7 d increased by 3.84%–12.08% and 2.54%–13.43%, respectively. MGO made little contribution to the increases of compressive strength and flexural strength of cement mortar at 28 d. The results of X-ray diffraction (XRD), scanning electron microscope (SEM), and nitrogen (N2) adsorption/desorption tests show that the types of hydration products and crystal grain size did not change after adding MGO. Still, it can help to improve the microstructure of the cement mortar via regulating hydration products and can provide more condensed cores to accelerate hydration. Furthermore, the regulating action of MGO for the microstructure of cement mortar at an early age was better than that at 28 d.

Keywords： graphene oxide     cement     mortar     mechanical properties     microstructure    

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Title Author Date Type Operation

Characteristic of the equivalent impedance for an

Zhi-zhong TAN, Hong ZHU, Jihad H. ASAD, Chen XU, Hua TANG

Journal Article

New Formulas of Dynamic Characteristic of Hydrostatic Bearing and Its Testified Experiment

Meng Xinzhai,Yang Jianxi,Meng Zhaoyan

Journal Article

Multi-harmonic forced vibration and resonance of simple beams to moving vehicles

Journal Article

Sectional model test study on vortex-excited resonance of vehicle-bridge system of Shanghai Bridge over

Li ZHOU, Yaojun GE

Journal Article

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magnetic resonance

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Design of hydraulic resonance of pulsed water - jet

Pu Jianing,Chen Ming

Journal Article

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article

Recent Advances in 19Fluorine Magnetic Resonance Imaging with Perfluorocarbon Emulsions

Anne H. Schmieder,Shelton D. Caruthers,Jochen Keupp,Samuel A. Wickline,Gregory M. Lanza

Journal Article

Effect of different high viscosity modifiers on rheological properties of high viscosity asphalt

Journal Article

LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Journal Article

Effect of earth reinforcement, soil properties and wall properties on bridge MSE walls

Journal Article

Fault tolerant control strategy for modular PWM current source inverter

Journal Article

Mechanical properties and microstructure of multilayer graphene oxide cement mortar

Journal Article