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Article ; Online: Open-Circuit Fault Diagnosis of T-Type Three-Level Inverter Based on Knowledge Reduction.

Chen, Xiaojuan / Zhang, Zhaohua

2024 Volume 24, Issue 3

Abstract: Compared with traditional two-level inverters, multilevel inverters have many solid-state switches and complex composition methods. Therefore, diagnosing and treating inverter faults is a prerequisite for the reliable and efficient operation of the ... ...

Abstract	Compared with traditional two-level inverters, multilevel inverters have many solid-state switches and complex composition methods. Therefore, diagnosing and treating inverter faults is a prerequisite for the reliable and efficient operation of the inverter. Based on the idea of intelligent complementary fusion, this paper combines the genetic algorithm-binary granulation matrix knowledge-reduction method with the extreme learning machine network to propose a fault-diagnosis method for multi-tube open-circuit faults in T-type three-level inverters. First, the fault characteristics of power devices at different locations of T-type three-level inverters are analyzed, and the inverter output power and its harmonic components are extracted as the basis for power device fault diagnosis. Second, the genetic algorithm-binary granularity matrix knowledge-reduction method is used for optimization to obtain the minimum attribute set required to distinguish the state transitions in various fault cases. Finally, the kernel attribute set is utilized to construct extreme learning machine subclassifiers with corresponding granularity. The experimental results show that the classification accuracy after attribute reduction is higher than that of all subclassifiers under different attribute sets, reflecting the advantages of attribute reduction and the complementarity of different intelligent diagnosis methods, which have stronger fault-diagnosis accuracy and generalization ability compared with the existing methods and provides a new way for hybrid intelligent diagnosis.
Language	English
Publishing date	2024-02-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24031028
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Epileptic EEG Signal Detection Using Variational Modal Decomposition and Improved Grey Wolf Algorithm.

Sun, Yongxin / Chen, Xiaojuan

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 19

Abstract: Epilepsy does great harm to the human body, and even threatens human life when it is serious. Therefore, research focused on the diagnosis and treatment of epilepsy holds paramount clinical significance. In this paper, we utilized variational modal ... ...

Abstract	Epilepsy does great harm to the human body, and even threatens human life when it is serious. Therefore, research focused on the diagnosis and treatment of epilepsy holds paramount clinical significance. In this paper, we utilized variational modal decomposition (VMD) and an enhanced grey wolf algorithm to detect epileptic electroencephalogram (EEG) signals. Data were extracted from each patient's preseizure period and seizure period of 200 s each, with every 2 s as a segment, meaning 100 data points could be obtained for each patient's health period as well as 100 data points for each patient's epilepsy period. Variational modal decomposition (VMD) was used to obtain the corresponding intrinsic modal function (VMF) of the data. Then, the differential entropy (DE) and high frequency detection (HFD) of each VMF were extracted as features. The improved grey wolf algorithm is adopted for a selected channel to improve the maximum value of the channel. Finally, the EEG signal samples were classified using a support vector machine (SVM) classifier to achieve the accurate detection of epilepsy EEG signals. Experimental results show that the accuracy, sensitivity and specificity of the proposed method can reach 98.3%, 98.9% and 98.5%, respectively. The proposed algorithm in this paper can be used as an index to detect epileptic seizures and has certain guiding significance for the early diagnosis and effective treatment of epileptic patients.
MeSH term(s)	Humans ; Epilepsy/diagnosis ; Seizures/diagnosis ; Electroencephalography/methods ; Algorithms ; Support Vector Machine ; Signal Processing, Computer-Assisted
Language	English
Publishing date	2023-09-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23198078
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Article ; Online: Fast Feature Extraction Method for Brillouin Scattering Spectrum of OPGW Optical Cable Based on BOTDR.

Chen, Xiaojuan / Yu, Haoyu

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 19

Abstract: Brillouin optical time domain reflectometry (BOTDR) detects fiber temperature and strain data and represents one of the most critical ways of identifying abnormal conditions such as ice coverage and lightning strikes on optical fiber composite overhead ... ...

Abstract	Brillouin optical time domain reflectometry (BOTDR) detects fiber temperature and strain data and represents one of the most critical ways of identifying abnormal conditions such as ice coverage and lightning strikes on optical fiber composite overhead ground wire (OPGW) cable. Existing BOTDR extracts brillouin frequency shift (BFS) features with cumulative averaging and curve fitting. BFS feature extraction is slow for long-distance measurements, making realizing real-time measurements on fiber optic cables challenging. We propose a fast feature extraction method for block matching and 3D filtering (BM3D) + Sobel brillouin scattering spectroscopy (BGS). BM3D takes the advantage of non-local means (NLM) and wavelet denoising (WD) and utilizes the spatial-domain non-local principle to enhance the denoising in the transform domain. The global filtering capability of BM3D is utilized to filter out the low cumulative average BGS noise and the BFS feature extraction is completed using Sobel edge detection. Simulation verifies the feasibility of the algorithm, and the proposed method is embedded in BOTDR to measure 30 km of actual OPGW line. The experimental results show that under the same conditions, the processing time of this method is reduced by 37 times compared to that with the 50,000-time cumulative averaging + levenberg marquardt (LM) algorithm without severe distortion of the reference resolution. The method improves the sensor demodulation speed by using image processing technology without changing the existing hardware equipment, which is expected to be widely used in the new generation of BOTDR.
Language	English
Publishing date	2023-09-29
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23198166
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Article: Effect of Sintering Temperature on Microstructure Characteristics of Porous NiTi Alloy Fabricated via Elemental Powder Sintering.

Miao, Tianhu / Zhan, Sha / Chen, Xiaojuan / Hu, Li

Materials (Basel, Switzerland)

2024 Volume 17, Issue 3

Abstract: To investigate the effect of the sintering temperature on the microstructure characteristics of porous NiTi alloys, two types of porous NiTi alloys with equal atomic ratios were fabricated via elemental powder sintering at 950 °C and 1000 °C. Afterwards, ...

Abstract	To investigate the effect of the sintering temperature on the microstructure characteristics of porous NiTi alloys, two types of porous NiTi alloys with equal atomic ratios were fabricated via elemental powder sintering at 950 °C and 1000 °C. Afterwards, optical microscopy (OM), scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were collectively applied to investigate the pore characteristics and microstructure of the fabricated porous NiTi alloy. The results show that when the sintering temperature increases from 950 °C to 1000 °C, the average pore size increases from 36.00 μm to 181.65 μm, owing to the integration of these newly formed small pores into these pre-existing large-sized pores. The measured density increases from 2.556 g/cm
Language	English
Publishing date	2024-02-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma17030743
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Article ; Online: The mediating effect of nurses' narrative ability on humanistic caring ability and humanistic caring behavior.

Lv, Jing / Lin, Zhiwu / Su, Yajie / Chen, Xiaojuan

Asian journal of surgery

2024

Language	English
Publishing date	2024-02-22
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2024.02.065
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Article ; Online: Empowering the Potassium-Sulfur Battery with Commendable Reaction Kinetics and Capacity Output by Localized High-Concentration Electrolytes.

Chen, Xiaojuan / Meng, Yan / Xiao, Dan / Qin, Lei

ACS applied materials & interfaces

2024

Abstract: Potassium-sulfur (K-S) batteries are one of the promising high-energy-density candidates beyond current lithium-ion batteries. Nevertheless, in practice, the utilization of K-S batteries is largely hindered due to the dissolution and shuttle effect of ... ...

Abstract	Potassium-sulfur (K-S) batteries are one of the promising high-energy-density candidates beyond current lithium-ion batteries. Nevertheless, in practice, the utilization of K-S batteries is largely hindered due to the dissolution and shuttle effect of the cathode redox intermediates and the scarcity of an effective anode protection layer in conventional electrolytes. Herein, electrolyte engineering is applied to formulate an ether-based localized high-concentration electrolyte (LHCE) for the first time in a K-S cell with the mitigated parasitic effect of polysulfide dissolution and shuttle and the tuned anode-electrolyte interface property. A nonsolvating and polysulfide-stable fluoroether is sieved as a cosolvent in such an LHCE, which possesses the ultralow polysulfides solubility due to less roaming solvents and thus alleviates the polysulfides shuttle effect. The anion-derived solid electrolyte interphase enriched in inorganic components is constructed due to the strengthened cation-anion interplay in the primary solvation sheath and highlighted with accelerated interfacial kinetics in a K-S cell. It is validated that the proposed LHCE unlocks the theoretical capacity of the K-S cell based on the conversion between S and K
Language	English
Publishing date	2024-05-06
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c19583
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Article ; Online: Automatic Detection of Epilepsy Based on Entropy Feature Fusion and Convolutional Neural Network.

Sun, Yongxin / Chen, Xiaojuan

publication RETRACTED

Oxidative medicine and cellular longevity

2022 Volume 2022, Page(s) 1322826

Abstract: Epilepsy is a neurological disorder, caused by various genetic and acquired factors. Electroencephalogram (EEG) is an important means of diagnosis for epilepsy. Aiming at the low efficiency of clinical artificial diagnosis of epilepsy signals, this paper ...

Abstract	Epilepsy is a neurological disorder, caused by various genetic and acquired factors. Electroencephalogram (EEG) is an important means of diagnosis for epilepsy. Aiming at the low efficiency of clinical artificial diagnosis of epilepsy signals, this paper proposes an automatic detection algorithm for epilepsy based on multifeature fusion and convolutional neural network. Firstly, in order to retain the spatial information between multiple adjacent channels, a two-dimensional Eigen matrix is constructed from one-dimensional eigenvectors according to the electrode distribution diagram. According to the feature matrix, sample entropy SE, permutation entropy PE, and fuzzy entropy FE were used for feature extraction. The combined entropy feature is taken as the input information of three-dimensional convolutional neural network, and the automatic detection of epilepsy is realized by convolutional neural network algorithm. Epilepsy detection experiments were performed in CHB-MIT and TUH datasets, respectively. Experimental results show that the performance of the algorithm based on spatial multifeature fusion and convolutional neural network achieves excellent results.
MeSH term(s)	Algorithms ; Electroencephalography/methods ; Entropy ; Epilepsy/diagnosis ; Humans ; Neural Networks, Computer
Language	English
Publishing date	2022-05-11
Publishing country	United States
Document type	Journal Article ; Retracted Publication
ZDB-ID	2455981-7
ISSN	1942-0994 ; 1942-0994
ISSN (online)	1942-0994
ISSN	1942-0994
DOI	10.1155/2022/1322826
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Article ; Online: A New Mayorella Species Isolated from the Mariana Trench Area (Pacific Ocean).

Lei, Xiaoli / Chen, Xiaojuan / Chen, Jianming / Liang, Chen

Protist

2023 Volume 174, Issue 3, Page(s) 125958

Abstract: In this paper, we describe a new naked amoeba species, Mayorella marianaensis sp. n., order Dermamoebida, isolated from the bottom of the Pacific Ocean (>3,000 m depth) in the vicinity of the Mariana Trench, based on morphological and molecular data. The ...

Abstract	In this paper, we describe a new naked amoeba species, Mayorella marianaensis sp. n., order Dermamoebida, isolated from the bottom of the Pacific Ocean (>3,000 m depth) in the vicinity of the Mariana Trench, based on morphological and molecular data. The newly discovered species was identified based on morphological and molecular data. This is the first time that a Mayorella species was discovered in the deep sea (>1,000 m). Mayorella marianaensis is an irregularly rectangular naked amoeba (30-120 × 11-60 µm), with a narrow frontal hyaline area. Four to 15 conical sub-pseudopodia, and three kinds of floating forms are identified. Trophozoites have a thick cell coat consisting of two distinct layers. The small subunit ribosomal RNA gene phylogeny showed that M. marianaensis is classified into Dermamoebida, and is a sister clade to other Mayorella species whose sequences are available. BLAST analysis revealed that M. marianaensis is most similar to Coronamoeba villafranca and Mayorella sp. JJP-2003, with sequence identities of 92.43% and 88.30%, respectively.
MeSH term(s)	Pacific Ocean ; Phylogeny ; RNA, Ribosomal, 16S/genetics
Chemical Substances	RNA, Ribosomal, 16S
Language	English
Publishing date	2023-04-13
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2036014-9
ISSN	1618-0941 ; 1434-4610
ISSN (online)	1618-0941
ISSN	1434-4610
DOI	10.1016/j.protis.2023.125958
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Article: Concave Ni(OH)

Cong, Nan / Li, Pan / Guo, Xuyun / Chen, Xiaojuan

Nanomaterials (Basel, Switzerland)

2023 Volume 13, Issue 18

Abstract: The controlled synthesis of hollow structure transition metal compounds has long been a very interesting and significant research topic in the energy storage and conversion fields. Herein, an ultrasound-assisted chemical etching strategy is proposed for ... ...

Abstract	The controlled synthesis of hollow structure transition metal compounds has long been a very interesting and significant research topic in the energy storage and conversion fields. Herein, an ultrasound-assisted chemical etching strategy is proposed for fabricating concave Ni(OH)
Language	English
Publishing date	2023-09-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662255-5
ISSN	2079-4991
ISSN	2079-4991
DOI	10.3390/nano13182538
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Article ; Online: Effect of Gubenyiliu formula II and its disassembled prescriptions on cell autophagy in breast cancer through PI3K/AKT/mTOR pathway.

Chen, Xiaojuan / Jin, Guoying / Luo, Hong / Zhou, Lifei

Anti-cancer drugs

2023 Volume 34, Issue 6, Page(s) 725–734

Abstract: The aim of this study is to reveal the mechanism of Gubenyiliu II (GYII) inhibiting autophagy in breast cancer and the effect of its disassembled prescriptions, Quxie (QX) and Fuzheng (FZ), which cause autophagy difference on tumor growth. After a breast ...

Abstract	The aim of this study is to reveal the mechanism of Gubenyiliu II (GYII) inhibiting autophagy in breast cancer and the effect of its disassembled prescriptions, Quxie (QX) and Fuzheng (FZ), which cause autophagy difference on tumor growth. After a breast cancer in situ tumor model was established, mice were randomly distributed into different groups: model, GYII, QX, FZ and tamoxifen groups, and treated correspondingly. Then, the tumor volumes and weights were monitored. Immunohistochemistry detected the contents of microtubule-associated protein light chain 3 (LC3), phosphorylated phosphatidylinositol 3-kinase (p-PI3K), phosphorylated protein kinase B (p-AKT) and phosphorylated mammalian target of rapamycin (p-mTOR) in tumor tissues. Furthermore, 4T1 cells were administrated with the 20% contained serum. Cell proliferation, migration and invasion were measured using cell counting kit-8 and transwell assays. Electron microscopy and flow cytometry detected autophagy and apoptosis. The content of LC3 was measured by immunofluorescence. Western blot detected the protein levels of LC3, Beclin1, p-PI3K/PI3K, p-AKT/AKT and p-mTOR/mTOR in tumor tissues and 4T1 cells. GYII, QX and FZ treatment significantly reduced the tumor volumes and weights in breast cancer tumor-bearing mice. The cell proliferation, migration and invasion were restrained, and cell apoptosis and autophagy were promoted in GYII, QX and FZ groups. Moreover, GYII, QX and FZ increased the expression of LC3 in 4T1 cells and tumor tissues and decreased the phosphorylation levels of PI3K, AKT and mTOR in tumor tissues. The protein levels of LC3 and Beclin1 were upregulated, and p-PI3K/PI3K, p-AKT/AKT and p-mTOR/mTOR were downregulated in tumor tissues and 4T1 cells of treatment groups. Our study confirmed that GYII could treat breast cancer by restraining the PI3K/AKT/mTOR signaling pathway-mediated autophagy. While QX focuses on inhibiting tumor growth, FZ acts on inhibiting tumor metastasis.
MeSH term(s)	Animals ; Mice ; Apoptosis ; Autophagy ; Beclin-1 ; Cell Proliferation ; Mammals/metabolism ; Neoplasms/drug therapy ; Phosphatidylinositol 3-Kinase ; Phosphatidylinositol 3-Kinases/metabolism ; Proto-Oncogene Proteins c-akt/metabolism ; TOR Serine-Threonine Kinases/metabolism ; Drugs, Chinese Herbal
Chemical Substances	Beclin-1 ; Phosphatidylinositol 3-Kinase (EC 2.7.1.137) ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; TOR Serine-Threonine Kinases (EC 2.7.11.1) ; guben yiliu II ; Drugs, Chinese Herbal
Language	English
Publishing date	2023-01-24
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1065301-6
ISSN	1473-5741 ; 0959-4973
ISSN (online)	1473-5741
ISSN	0959-4973
DOI	10.1097/CAD.0000000000001460
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