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Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

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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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 functionalHowever, either functional or structural neuroimaging data are mostly used separately as input, and theWe conducted a multimodal ML study based on functional and structural neuroimaging measures.We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural datafor left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures

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

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mechanism involved in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functionalmagnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 38-45

Abstract: the neuronal mechanism of Chinese paired-word associated learning and memory in healthy volunteers by functionalmagnetic resonance imaging (fMRI) technique. 16 right-handed normal volunteers participated in a test

Keywords： functional magnetic resonance imaging (fMRI) of human brain     paired-word     language     associated learning    

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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) dateOver that time span, 1H imaging flourished and was adopted worldwide with an endless arrayof applications and imaging approaches, making magnetic resonance an indispensable pillar of biomedicaldiagnostic imaging.For many years during this timeframe, 19F imaging research continued at a slow pace as the

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

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: Diagnostic ultrasound is the first imaging modality used for guiding HIFU ablation.In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFU, breast cancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords： high-intensity focused ultrasound (HIFU)     ultrasound imaging-guided HIFU (USgHIFU)     magnetic resonanceimaging-guided HIFU (MRgHIFU)    

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Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models Review

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Engineering 2019, Volume 5, Issue 5,   Pages 948-953 doi: 10.1016/j.eng.2019.03.010

Abstract:

Brain encoding and decoding via functional magnetic resonance imaging (fMRI) are two important aspects

Keywords： Brain encoding and decoding     Functional magnetic resonance imaging     Deep neural networks     Deep generative    

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Fluorescent probes and functional materials for biomedical applications

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 10,   Pages 1425-1437 doi: 10.1007/s11705-022-2163-1

Abstract: Here, we highlight examples of fluorescent probes and functional materials for biological applications

Keywords： fluorescent probes     imaging     cell     biomedicine     biomolecules    

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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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Functional magnetic nanoparticles for facile viable but nonculturable bacteria separation and purification

Chunming Wang, Huirong Lin, Chengsong Ye

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 6, doi: 10.1007/s11783-016-0874-6

Abstract: The functional surface-modified MNPs were capable of capture with high efficiency.PAH-coated magnetic nanoparticles (MNPs) were synthesized and found to be capable of capturing and releasingadditional incubation step, VBNC cells were easily isolated and purified from normal bacteria using functional

Keywords： Drinking water biosafety     VBNC     Nanoparticles     Magnetic separation and purification    

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Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 3,   Pages 304-309 doi: 10.1007/s11705-007-0056-y

Abstract: The copolymer was analyzed with Fourier transform-infrared (FTIR) and nuclear magnetic resonance (H-NMR

Keywords： reaction     conversion     temperature     polymerization temperature     magnetic resonance    

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SERS nanoprobes for bio-application

Han-Wen Cheng,Jin Luo,Chuan-Jian Zhong

Frontiers of Chemical Science and Engineering 2015, Volume 9, Issue 4,   Pages 428-441 doi: 10.1007/s11705-015-1536-0

Abstract: ., gold and silver) nanoparticles, especially those with magnetic properties and bio-conjugated structuresSuch nanoprobes exhibit tunable optical, spectroscopic, magnetic, and electrical properties for signal

Keywords： surface-enhanced Raman scattering     functional nanoprobes     bio-conjugation     metal nanoparticles     magnetic    

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Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1069-1087 doi: 10.1631/FITEE.1400423

Abstract: Recently, dictionary learning (DL) based methods have been introduced to compressed sensing magneticresonance imaging (CS-MRI), which outperforms pre-defined analytic sparse priors.framework to allow sparser representation and prominent hierarchical essential features capture for magneticresonance (MR) images.

Keywords： Compressed sensing (CS)     Magnetic resonance imaging (MRI)     Uniform discrete curvelet transform (UDCT)    

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Functional ferritin nanoparticles for biomedical applications

Zhantong Wang, Haiyan Gao, Yang Zhang, Gang Liu, Gang Niu, Xiaoyuan Chen

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 633-646 doi: 10.1007/s11705-017-1620-8

Abstract: There has been an outburst of interest regarding the employment of functional ferritin nanoparticleshighlight the recent advances in ferritin nanoparticles for drug delivery, bioassay, and molecular imaging

Keywords： nanomedicine     ferritin     drug delivery     bioassay     molecular imaging    

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Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 222-225 doi: 10.1007/s11465-008-0028-z

Abstract: The magnetic leakage field distribution resulting from linear defects of a tube sample in the geomagneticfield is modeled according to the magnetic dipole theory.The formula to compute the normal component of the weak magnetic field is deduced based on the spatialdistribution of the magnetic dipole.The shape and characteristics of the zero line (an important criterion for magnetic memory testing) of

Keywords： geomagnetic     theory     important criterion     magnetic leakage     normal component    

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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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Title Author Date Type Operation

Discovery of the mechanisms of acupuncture in the treatment of migraine based on functional magneticresonance imaging and omics

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

mechanism involved in the Chinese paired-word associated learning and memory in healthy volunteers——a brain functionalmagnetic resonance imaging study

Zheng Jinlong,Shu Siyun,Liu Songhao,Guo Zhouyi,Wu Yongming,Bao Xinmin,Zhang Zengqiang,Jin Mei,Ma Hanzhang

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

High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Journal Article

Brain Encoding and Decoding in fMRI with Bidirectional Deep Generative Models

Changde Du, Jinpeng Li, Lijie Huang, Huiguang He

Journal Article

Fluorescent probes and functional materials for biomedical applications

Journal Article

Metabolomics in human type 2 diabetes research

Jingyi Lu, Guoxiang Xie, Weiping Jia, Wei Jia

Journal Article

Functional magnetic nanoparticles for facile viable but nonculturable bacteria separation and purification

Chunming Wang, Huirong Lin, Chengsong Ye

Journal Article

Copolymerization of 1-butene and 1-hexene with supported titanium catalyst

ZHAO Yongxian, SHAO Huafeng, WANG Bo, YAO Wei, HUANG Baochen

Journal Article

SERS nanoprobes for bio-application

Han-Wen Cheng,Jin Luo,Chuan-Jian Zhong

Journal Article

Multi-scale UDCT dictionary learning based highly undersampled MR image reconstruction using patch-based constraint splitting augmented Lagrangian shrinkage algorithm

Min YUAN,Bing-xin YANG,Yi-de MA,Jiu-wen ZHANG,Fu-xiang LU,Tong-feng ZHANG

Journal Article

Functional ferritin nanoparticles for biomedical applications

Zhantong Wang, Haiyan Gao, Yang Zhang, Gang Liu, Gang Niu, Xiaoyuan Chen

Journal Article

Modeling and analysis of magnetic dipoles in weak magnetic field

WANG Zhaoxia, ZHANG Weimin, LIU Hongguang

Journal Article

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

Journal Article