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Prefrontal cortical circuits in anxiety and fear: an overview

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 518-539 doi: 10.1007/s11684-022-0941-2

Abstract: rodent cannot be precisely determined, rodent models hold great promise in dissecting well-conserved circuitsgenetic and viral tools and optogenetic and chemogenetic techniques have revealed the intricacies of neuralcircuits underlying anxiety and fear by allowing direct examination of hypotheses drawn from existing

Keywords： prefrontal cortex     anxiety     fear     neural circuits     optogenetics     DREADD    

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study of hybrid model identification, computation analysis and fault location for nonlinear dynamic circuits

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: This paper presents the hybrid model identification for a class of nonlinear circuits and systems viaderived for calculating the hybrid model and computing the Volterra series solution of nonlinear dynamic circuitsResults show that the method has high accuracy and efficiency for fault location of nonlinear dynamic circuits

Keywords： block-pulse function     nonlinear     multiple     diagnosis     combination    

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Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 271-278 doi: 10.1007/s11708-013-0258-6

Abstract: reliability of the diagnostic system, it is crucial to provide the relationship between the inter-turn short-circuits

Keywords： induction machines     fault indicator     inter-turn short-circuit fault     unbalance supply voltage    

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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    

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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    

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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    

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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    

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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: 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    

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Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 490-503 doi: 10.1007/s11709-017-0445-3

Abstract: This paper is aimed at adapting Artificial Neural Networks (ANN) to predict the strength properties of

Keywords： artificial neural networks     root mean square error     SIFCON     silica fume     metakaolin     steel fiber    

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Design, analysis, and neural control of a bionic parallel mechanism

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 468-486 doi: 10.1007/s11465-021-0640-8

Abstract: The neural control of the parallel mechanism is realized by constructing a neuromechanical network, which

Keywords： neural control     behavior network     rhythm     motion pattern    

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and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial neural

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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Cannabidiol prevents depressive-like behaviors through the modulation of neural stem cell differentiation

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 227-239 doi: 10.1007/s11684-021-0896-8

Abstract: Chronic stress impairs radial neural stem cell (rNSC) differentiation and adult hippocampal neurogenesisTherefore, investigating the mechanism of neural differentiation and AHN is of great importance for developingThese results revealed a previously unknown neural mechanism for neural differentiation and AHN in depression

Keywords： cannabidiol     depression     radial neural stem cells     neurogenesis    

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State-of-the-Art High Purity Water

Wen Ruimei

Strategic Study of CAE 2000, Volume 2, Issue 1,   Pages 68-72

Abstract:

In this paper, the relationship between the ultra large scale integrated circuits (ULSI) and high

Keywords： High purity water     Ultra large scale integrated circuits     Total organic carbon     Bacteria and Bacterial endotoxins    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdecoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neuralthat a simple linear mapping relationship exists between network structure and network behavior in the neuralnew interpretation mechanism provides not only the potential mathematical calculation principle of neuralor animal activities, which can further expand and enrich the interpretable mechanism of artificial neural

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Service life prediction of fly ash concrete using an artificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 793-805 doi: 10.1007/s11709-021-0717-9

Abstract: lifetime of fly ash concrete by developing a carbonation depth prediction model that uses an artificial neuralMoreover, experimental validation carried out for the developed model shows that the artificial neural

Keywords： concrete     fly ash     carbonation     neural networks     experimental validation     service life    

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Title Author Date Type Operation

Prefrontal cortical circuits in anxiety and fear: an overview

Journal Article

study of hybrid model identification, computation analysis and fault location for nonlinear dynamic circuits

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Experimental investigation and comparative study of inter-turn short-circuits and unbalanced voltage

Fatima BABAA, Abdelmalek KHEZZAR, Mohamed el kamel OUMAAMAR

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

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

Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network

T. Chandra Sekhara REDDY

Journal Article

Design, analysis, and neural control of a bionic parallel mechanism

Journal Article

and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial neural

Journal Article

Cannabidiol prevents depressive-like behaviors through the modulation of neural stem cell differentiation

Journal Article

State-of-the-Art High Purity Water

Wen Ruimei

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Service life prediction of fly ash concrete using an artificial neural network

Journal Article