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Fastigial Nucleus Electrical Stimulation and Central Neurogenic Neuroprotection

Dong Weiwei

Strategic Study of CAE 2001, Volume 3, Issue 11,   Pages 32-38

Abstract: Fastigial neucleus stimulation can also promote the recovery of neurological deficits and can somewhatSome prelimilary observations of clinical application of fastigial nucleus electrical stimulation onRecommendations of further research on fastigial nucleus stimulation before its broad clinical practice

Keywords: neuroprotection     conditioned     fastigial neucleus     stimulation     cerebral ischemia    

EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and

Frontiers of Medicine 2021, Volume 15, Issue 5,   Pages 740-749 doi: 10.1007/s11684-020-0794-5

Abstract: We aimed to develop a novel artificial neural rehabilitation system, which integrates brain--computerinterface (BCI) and functional electrical stimulation (FES) technologies, for limb motor function recoveryPatients were randomly divided into the BCI-FES group and the neuromuscular electrical stimulation (NMES

Keywords: brain–computer interface     functional electrical stimulation     electroencephalogram     laterality coefficient    

Systems Neuroengineering: Understanding and Interacting with the Brain Review

Bradley J. Edelman,Nessa Johnson,Abbas Sohrabpour,Shanbao Tong,Nitish Thakor,Bin He

Engineering 2015, Volume 1, Issue 3,   Pages 292-308 doi: 10.15302/J-ENG-2015078

Abstract: The neural activity that governs our everyday lives involves an intricate coordination of many processesBased on such knowledge, devices can be used either to communicate with the neural system, as in neuralFeedback-based neuro-devices require the ability to sense neural activity (via a neuroimaging modality) through a neural interface (invasive or noninvasive) and ultimately to select a set of stimulationparameters in order to alter neural function via a neuromodulation modality.

Keywords: systems neuroengineering     neuroimaging     neural interface     neuromodulation     neurotechnology     brain-computerinterface     brain-machine interface     neural stimulation    

EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients

Hock Guan TAN, Cheng Yap SHEE, Keng He KONG, Cuntai GUAN, Wei Tech ANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 71-81 doi: 10.1007/s11465-011-0207-1

Abstract: <3 months) stroke patients to use electroencephalogram (EEG) to trigger neuromuscular electrical stimulation

Keywords: brain computer interface     neuromuscular electrical stimulation     stroke     musculoskeletal modeling    

Repetitive transcranial magnetic stimulation causes significant changes of chemical substances in the

GUO Tiecheng, CAO Xuebing, XIA Limin

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 406-409 doi: 10.1007/s11684-008-0078-y

Abstract: More and more studies have reported the usefulness of repetitive transcranial magnetic stimulation (rTMS

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 220-226 doi: 10.1007/s11684-009-0037-2

Abstract: This study aimed to evaluate the effect of repeated ovarian stimulation (OS) on the ovarian follicularIn the three groups, the single ovarian stimulation treatment significantly increased the mean numberRepeated ovarian stimulation also tended to decrease normal follicles of primary follicles (66.67%) andIn conclusion, single ovarian stimulation may produce more oocytes/embryos.However, repeated gonadotropin stimulation may have a negative effect on the ovarian follicular quality

Keywords: gonadotropin-releasing hormone     ovarian reserve     embryo developmental ability     ovarian surface epithelium    

Transcriptomic basis of neutrophil ratio variation induced by poly I:C stimulation in porcine peripheral

Haiyan WANG, Qiaoxia ZHANG, Lilin YIN, Xiangdong LIU, Shuhong ZHAO, Mengjin ZHU, Changchun LI

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 342-352 doi: 10.15302/J-FASE-2017162

Abstract: neutrophil variation in porcine peripheral blood before and after polyriboinosinic-polyribocytidylic acid stimulation

Keywords: neutrophil     peripheral blood     pig     poly I:C     transcriptome    

Crk-associated substrate, vascular smooth muscle and hypertension

TANG Dale

Frontiers of Medicine 2008, Volume 2, Issue 4,   Pages 323-331 doi: 10.1007/s11684-008-0062-6

Abstract: Contraction stimulation induces CAS phosphorylation on Tyr-410 in arterial smooth muscle, creating the

Keywords: Contraction stimulation     phosphatase-proline     molecular structure     discovered     hypertension    

PET imaging on neurofunctional changes after optogenetic stimulation in a rat model of panic disorder

Xiao He, Chentao Jin, Mindi Ma, Rui Zhou, Shuang Wu, Haoying Huang, Yuting Li, Qiaozhen Chen, Mingrong Zhang, Hong Zhang, Mei Tian

Frontiers of Medicine 2019, Volume 13, Issue 5,   Pages 602-609 doi: 10.1007/s11684-019-0704-x

Abstract: In this study, optogenetic stimulation to the dPAG was performed to induce panic-like behaviors, andF-flurodeoxyglucose ( F-FDG) was conducted to evaluate neurofunctional changes before and after the optogenetic stimulationCompared with the baseline, post-optogenetic stimulation PET imaging demonstrated that the glucose metabolismsuccessfully detect downstream neurofunctional changes involved in the panic attacks after optogenetic stimulation

Keywords: panic disorder (PD)     positron emission tomography (PET)     optogenetics     dorsal periaqueductal gray (dPAG)    

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: The neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsThis article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords: multiscale method     constitutive model     feedforward neural network     recurrent neural network    

The impact of different voltage application modes on biodegradation of chloramphenicol and shift of microbial community structure

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 11, doi: 10.1007/s11783-022-1576-x

Abstract:

● Presented coupled system enhanced biodegradation of antibiotic chloramphenicol.

Keywords: Electrical stimulation     Biodegradation     Microbial community     Chloramphenicol    

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.

Keywords: deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: this paper presents a method for automating concrete damage classification using a deep convolutional neuralThe convolutional neural network was designed after an experimental investigation of a wide number of

Keywords: concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential

Keywords: concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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: under different pump health conditions are fused into RGB images and then recognized by a convolutional neural

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

Title Author Date Type Operation

Fastigial Nucleus Electrical Stimulation and Central Neurogenic Neuroprotection

Dong Weiwei

Journal Article

EEG-controlled functional electrical stimulation rehabilitation for chronic stroke: system design and

Journal Article

Systems Neuroengineering: Understanding and Interacting with the Brain

Bradley J. Edelman,Nessa Johnson,Abbas Sohrabpour,Shanbao Tong,Nitish Thakor,Bin He

Journal Article

EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients

Hock Guan TAN, Cheng Yap SHEE, Keng He KONG, Cuntai GUAN, Wei Tech ANG

Journal Article

Repetitive transcranial magnetic stimulation causes significant changes of chemical substances in the

GUO Tiecheng, CAO Xuebing, XIA Limin

Journal Article

Effect of repeated gonadotropin stimulation on ovarian reserves and proliferation of ovarian surface

Linlin LIANG, Bei XU, Guijin ZHU

Journal Article

Transcriptomic basis of neutrophil ratio variation induced by poly I:C stimulation in porcine peripheral

Haiyan WANG, Qiaoxia ZHANG, Lilin YIN, Xiangdong LIU, Shuhong ZHAO, Mengjin ZHU, Changchun LI

Journal Article

Crk-associated substrate, vascular smooth muscle and hypertension

TANG Dale

Journal Article

PET imaging on neurofunctional changes after optogenetic stimulation in a rat model of panic disorder

Xiao He, Chentao Jin, Mindi Ma, Rui Zhou, Shuang Wu, Haoying Huang, Yuting Li, Qiaozhen Chen, Mingrong Zhang, Hong Zhang, Mei Tian

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

The impact of different voltage application modes on biodegradation of chloramphenicol and shift of microbial community structure

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

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

Journal Article