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Using psychophysiologicalmeasures to recognize personalmusic emotional experience Research Articles

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 964-974 doi: 10.1631/FITEE.1800101

Abstract: In this study, we explore a new method of personal music emotion recognition based on human physiologicalFirst, we build up a database of features based on emotions related to music and a database based on physiologicalsignals derived from music listening including EDA, PPG, SKT, RSP, and PD variation information.regression (NuSVR) are used to recognize music emotions via a data synthesis of music features and human physiologicalcompare the different data sets and find that the data set with all the features (music features and all physiological

Keywords： Music     Emotion recognition     Physiological signals     Wavelet transform    

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Physiological Activity and Application Prospect of CLA

Zhang Genwang,Guo Zheng,Yang Tiankui

Strategic Study of CAE 2001, Volume 3, Issue 7,   Pages 85-89

Abstract:

CLA are the natural fatty acids found at the end of 1980s,which have many important physiologicalactivities, definition of the meaning, occurrence in nature, important physiological activities, and

Keywords： CLA     physiological activity     application    

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Chromium phytoextraction and physiological responses of the hyperaccumulator Swartz to plant growth-promoting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1609-0

Abstract:

● Improved Cr phytoextration efficiency was achieved by B. cereus inoculation.

Keywords： Hexavalent chromium     Hyperaccumulator     Rhizobacteria     Leersia hexandra Swartz     Bacillus cereus     Consortia    

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Physiological effects of weightlessness: countermeasure system development for a long-term Chinese manned

Linjie Wang, Zhili Li, Cheng Tan, Shujuan Liu, Jianfeng Zhang, Siyang He, Peng Zou, Weibo Liu, Yinghui Li

Frontiers of Medicine 2019, Volume 13, Issue 2,   Pages 202-212 doi: 10.1007/s11684-017-0587-7

Abstract: As a national space laboratory, it will offer unique opportunities for studying the physiological effectsimplement its own program for developing countermeasures, we reviewed the literature on the negative physiologicalcountermeasures to discuss the current status and goals of the development of countermeasures against physiological

Keywords： countermeasure     physiological effects of weightlessness     effect evaluation     long-term manned spaceflight    

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Characteristics of metal magnetic memory signals of different steels under static tension

Yiliang ZHANG, Ruibin GOU, Jimin LI, Gongtian SHEN,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 226-232 doi: 10.1007/s11465-010-0012-2

Abstract: To study the characteristics of metal magnetic memory (MMM) signals of different steels during tensileDuring the various deformation periods, MMM signals are tested, and micrometallographic is observed.statistical methods to study the macro and micro corresponding relationships and difference among magnetic signalslocation; there is a direct relationship between the intragranular slip and the changes of magnetic signals

Keywords： metal magnetic memory (MMM)     magnetic intensity (Hp)     static tension     weld    

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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: The gear meshing stiffness (GMS) identification approach is proposed by using housing vibration signals

Keywords： gearbox fault diagnosis     meshing stiffness     identification     transfer path     signal processing    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

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Imaging technologies for plant high-throughput phenotyping: a review

Yong ZHANG, Naiqian ZHANG

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 406-419 doi: 10.15302/J-FASE-2018242

Abstract: phenotyping, reviews applications of these technologies in detecting and measuring plant morphological, physiological

Keywords： high-throughput phenotyping     imaging technology     morphological traits     pathological traits     physiological    

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Research progress and prospects of complete ammonia oxidizing bacteria in wastewater treatment

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1555-2

Abstract:

• Comammox bacteria have unique physiological characteristics.

Keywords： Complete ammonia oxidizing (comammox) bacteria     Nitrogen cycle     Physiological characteristics     Wastewater    

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Translocation and biotoxicity of metal (oxide) nanoparticles in the wetland-plant system

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1432-4

Abstract:

• Aquatic plants are more likely to absorb TiO2 NPs that are beneficial to them.

Keywords： Constructed wetlands     Aquatic plants     Nanoparticles     Physiological activity     Biomass    

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Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 486-496 doi: 10.1631/FITEE.1400299

Abstract: Ocular artifacts cause the main interfering signals within electroencephalogram (EEG) signal measurementsAn adaptive filter based on reference signals from an electrooculogram (EOG) can reduce ocular interference, but collecting EOG signals during a long-term EEG recording is inconvenient and uncomfortable for theThen the RLS based adaptive filter uses SC-ICs as reference signals to reduce interference, which avoids

Keywords： Ocular artifacts     Electroencephalogram (EEG)     Electrooculogram (EOG)     Brain-computer interface (BCI)     Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)    

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Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration signals

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 130-141 doi: 10.1007/s11465-014-0298-6

Abstract: envelope detection with fast Fourier transform (FFT) and continuous wavelet transform (CWT) of vibration signalsBoth simulated and experimental signals from identical bearings have been considered for the purposeThe bearings have been modeled as spring-mass-dashpot systems and the simulated signals have been obtainedCWT with the proposed wavelets overcomes the short coming of FFT while processing a noisy vibration signals

Keywords： Fault detection     spline wavelet     continuous wavelet transform     fast Fourier transform    

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract: The molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway     Ate1     cardiovascular development     neurogenesis     spermatogenesis     neurodegenerative disorders     Johanson–Blizzard syndrome    

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Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic systems with aggravating nutrient imbalance

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1471-x

Abstract:

• Hg bioaccumulation by phytoplankton varies among aquatic ecosystems.

Keywords： Plankton     Hg bioaccumulation     Physiological characteristics     A cross-system analysis     Nutrient compositions    

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Correction of Left Ventricular Doppler Echocardiographic Measurements for Physiological Variances Using Article

Guihua Yao, Xiangyun Chen, Wenjing Yang, Qing Zhang, Jing Liu, Huan Liang, Hui Sun, Yao Xu, Li Wang, Jinfeng Xu, Cheng Zhang, Fengrong Sun, Mei Zhang, Xueying Zeng, Yun Zhang

Engineering 2022, Volume 16, Issue 9,   Pages 115-122 doi: 10.1016/j.eng.2021.05.007

Abstract: Doppler measurements vary significantly with age and gender, making it necessary to correct them for physiologicalThe novel OMAM developed in this study successfully corrected the effects of the physiological variances

Keywords： Doppler echocardiography     Physiological variance     Allometric model     Normal reference values    

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Title Author Date Type Operation

Using psychophysiologicalmeasures to recognize personalmusic emotional experience

Le-kai ZHANG, Shou-qian SUN, Bai-xi XING, Rui-ming LUO, Ke-jun ZHANG

Journal Article

Physiological Activity and Application Prospect of CLA

Zhang Genwang,Guo Zheng,Yang Tiankui

Journal Article

Chromium phytoextraction and physiological responses of the hyperaccumulator Swartz to plant growth-promoting

Journal Article

Physiological effects of weightlessness: countermeasure system development for a long-term Chinese manned

Linjie Wang, Zhili Li, Cheng Tan, Shujuan Liu, Jianfeng Zhang, Siyang He, Peng Zou, Weibo Liu, Yinghui Li

Journal Article

Characteristics of metal magnetic memory signals of different steels under static tension

Yiliang ZHANG, Ruibin GOU, Jimin LI, Gongtian SHEN,

Journal Article

Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Imaging technologies for plant high-throughput phenotyping: a review

Yong ZHANG, Naiqian ZHANG

Journal Article

Research progress and prospects of complete ammonia oxidizing bacteria in wastewater treatment

Journal Article

Translocation and biotoxicity of metal (oxide) nanoparticles in the wetland-plant system

Journal Article

Fast removal of ocular artifacts from electroencephalogram signals using spatial constraint independent

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

Journal Article

Identification of faults through wavelet transform vis-à-vis fast Fourier transform of noisy vibration signals

Deepak PALIWAL,Achintya CHOUDHURY,T. GOVANDHAN

Journal Article

Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Journal Article

Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquatic systems with aggravating nutrient imbalance

Journal Article

Correction of Left Ventricular Doppler Echocardiographic Measurements for Physiological Variances Using

Guihua Yao, Xiangyun Chen, Wenjing Yang, Qing Zhang, Jing Liu, Huan Liang, Hui Sun, Yao Xu, Li Wang, Jinfeng Xu, Cheng Zhang, Fengrong Sun, Mei Zhang, Xueying Zeng, Yun Zhang

Journal Article