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  • 1
    Online Resource
    Online Resource
    Boosting capacitance and energy density by construction NiCoO2/CoS2 nanocomposites arrays as pseudocapacitor
    Elsevier BV ; 2021
    In:  Journal of Alloys and Compounds Vol. 881 ( 2021-11), p. 160627-
    Details
    In: Journal of Alloys and Compounds, Elsevier BV, Vol. 881 ( 2021-11), p. 160627-
    Type of Medium: Online Resource
    ISSN: 0925-8388
    URL: Article
    DOI: 10.1016/j.jallcom.2021.160627
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
    detail.hit.zdb_id: 2012675-X
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  • 2
    Online Resource
    Online Resource
    Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients
    Hindawi Limited ; 2020
    In:  Computational and Mathematical Methods in Medicine Vol. 2020 ( 2020-08-08), p. 1-12
    Details
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2020 ( 2020-08-08), p. 1-12
    Abstract: Background . Some adult patients with Tetralogy of Fallot (TOF) were found to simultaneously develop ascending aortic dilation. Severe aortic dilation would lead to several aortic diseases, including aortic aneurysm and dissection, which seriously affect patients’ living quality and even cause patients’ death. Current practice guidelines of aortic-dilation-related diseases mainly focus on aortic diameter, which has been found not always a good indicator. Therefore, it may be clinically useful to identify some other factors that can potentially better predict aortic response to dilation. Methods . 20 TOF patients scheduled for TOF repair surgery were recruited in this study and were divided into dilated and nondilated groups according to the Z scores of ascending aorta diameters. Patient-specific aortic CT images, pressure, and flow rates were used in the construction of computational biomechanical models. Results . Simulation results demonstrated a good coincidence between numerical mean flow rate at inlet and the one obtained from color Doppler ultrasonography, which implied that computational models were able to simulate the movement of the aorta and blood inside accurately. Our results indicated that aortic stress can effectively differentiate patients of the dilated group from the ones of the nondilated group. Mean ascending aortic stress-P1 (maximal principal stress) from the dilated group was 54% higher than that from the nondilated group (97.97 kPa vs. 63.47 kPa, p value = 0.044) under systolic pressure. Velocity magnitude in the aorta and aortic wall displacement of the dilated group were also greater than those of the nondilated group with p value 〈 0.1. Conclusion . Computational modeling and ascending aortic biomechanical factors may be used as a potential tool to identify and analyze aortic response to dilation. Large-scale clinical studies are needed to validate these preliminary findings.
    Type of Medium: Online Resource
    ISSN: 1748-670X , 1748-6718
    URL: Article
    DOI: 10.1155/2020/4568509
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2256917-0
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  • 3
    Online Resource
    Online Resource
    Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study
    SAGE Publications ; 2023
    In:  Structural Health Monitoring
    Details
    In: Structural Health Monitoring, SAGE Publications
    Abstract: In the structural health monitoring (SHM) of civil engineering, most of the structural damage is nonlinear damage, such as breathing cracks and bolt looseness. Under the excitation of external loads, the time-domain response data of the structure produced by these nonlinear damages have nonlinear features. In order to solve the time-domain nonlinear damage identification problem of complex structures, this paper proposes a nonlinear damage identification method based on the information distance of GNPAX/GARCH (general expression of system identification for linear and nonlinear with polynomial approximation and exogenous inputs/generalized autoregressive conditional heteroskedasticity) model. First, an order determination method based on Bayesian optimization to select the order of the GNPAX/GARCH model was proposed, and the GNPAX/GARCH model was established for damage identification. Then, the redundant structural items of GNPAX/GARCH model were removed by the model optimization method based on the structural pruning algorithm. Finally, the information distance of the GNPAX/GARCH model conditional heteroscedasticity series between the baseline state and test state was derived, and the structural damage source locations were determined according to the information distance. A three-story frame structure experiment and a stand structure experiment were used to verify the effectiveness of the proposed method. The results show that the proposed method can effectively identify the nonlinear damages caused by the component breathing crack and joint bolt looseness, verifying its robustness to the nonlinear damage identification of the multi-story and multi-span complex structures.
    Type of Medium: Online Resource
    ISSN: 1475-9217 , 1741-3168
    URL: Article
    DOI: 10.1177/14759217231176958
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2101420-6
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  • 4
    Online Resource
    Online Resource
    Surgical Design Optimization of Proximal Junctional Kyphosis
    Hindawi Limited ; 2020
    In:  Journal of Healthcare Engineering Vol. 2020 ( 2020-09-21), p. 1-8
    Details
    In: Journal of Healthcare Engineering, Hindawi Limited, Vol. 2020 ( 2020-09-21), p. 1-8
    Abstract: Purpose . The objective of this study was to construct a procedural planning tool to optimize the proximal junction angle (PJA) to prevent postoperative proximal junctional kyphosis (PJK) for each scoliosis patient. Methods . Twelve patients (9 patients without PJK and 3 patients with PJK) who have been followed up for at least 2 years after surgery were included. After calculating the loading force on the cephalad intervertebral disc of upper instrumented vertebra of each patient, the finite-element method (FEM) was performed to calculate the stress of each element. The stress information was summarized into the difference value before and after operation in different regions of interest. A two-layer fully connected neural network method was applied to model the relationship between the stress information and the risk of PJK. Leave-one-out cross-validation and sensitivity analysis were implemented to assess the accuracy and stability of the trained model. The optimal PJA was predicted based on the learned model by optimization algorithm. Results . The mean prediction accuracy was 83.3% for all these cases, and the area under the curve (AUC) of prediction was 0.889. And the output variance of this model was less than 5% when the important factor values were perturbed in a range of 5%. Conclusion . Our approach integrated biomechanics and machine learning to support the surgical decision. For a new individual, the risk of PJK and optimal PJA can be simultaneously predicted based on the learned model.
    Type of Medium: Online Resource
    ISSN: 2040-2295 , 2040-2309
    URL: Article
    DOI: 10.1155/2020/8886599
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2545054-2
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  • 5
    Online Resource
    Online Resource
    Joint first-principles/continuum calculations of electromechanical properties of MoS2 monolayer
    AIP Publishing ; 2014
    In:  Applied Physics Letters Vol. 105, No. 6 ( 2014-08-11)
    Details
    In: Applied Physics Letters, AIP Publishing, Vol. 105, No. 6 ( 2014-08-11)
    Abstract: Joint first-principles and continuum calculations were conducted on a system of a MoS2 monolayer inside water electrolyte, showing that the monolayer thickness and inplane dimension decreases and increases, respectively, and almost linearly with negative or positive excess charges. The calculated charge volume expansion coefficient of 0.081 |e| −1 under negative charging is about 27 times as high as that of 0.003 |e| −1 under positive charging. The changes in Fermi level and band structure induced by excess charges are also investigated by the joint calculations.
    Type of Medium: Online Resource
    ISSN: 0003-6951 , 1077-3118
    URL: Article
    DOI: 10.1063/1.4893360
    RVK:
    UA 1000
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2014
    detail.hit.zdb_id: 211245-0
    detail.hit.zdb_id: 1469436-0
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  • 6
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    Online Resource
    Revealing the Reaction Mechanism in Electrolytic Manganese System via Square Wave Voltammetry
    Springer Science and Business Media LLC ; 2023
    In:  JOM Vol. 75, No. 5 ( 2023-05), p. 1612-1621
    Details
    In: JOM, Springer Science and Business Media LLC, Vol. 75, No. 5 ( 2023-05), p. 1612-1621
    Type of Medium: Online Resource
    ISSN: 1047-4838 , 1543-1851
    URL: Article
    DOI: 10.1007/s11837-023-05713-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2002726-6
    SSG: 19,1
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  • 7
    Online Resource
    Online Resource
    Physical processes controlling earlier and later onset of a typhoon season in the western North Pacific
    Springer Science and Business Media LLC ; 2018
    In:  Climate Dynamics Vol. 51, No. 7-8 ( 2018-10), p. 2807-2823
    Details
    In: Climate Dynamics, Springer Science and Business Media LLC, Vol. 51, No. 7-8 ( 2018-10), p. 2807-2823
    Type of Medium: Online Resource
    ISSN: 0930-7575 , 1432-0894
    URL: Article
    DOI: 10.1007/s00382-017-4046-6
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
    detail.hit.zdb_id: 382992-3
    detail.hit.zdb_id: 1471747-5
    SSG: 16,13
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  • 8
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    Online Resource
    A secreted MIF homologue from Trichinella spiralis binds to and interacts with host monocytes
    Elsevier BV ; 2022
    In:  Acta Tropica Vol. 234 ( 2022-10), p. 106615-
    Details
    In: Acta Tropica, Elsevier BV, Vol. 234 ( 2022-10), p. 106615-
    Type of Medium: Online Resource
    ISSN: 0001-706X
    URL: Article
    DOI: 10.1016/j.actatropica.2022.106615
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 1495527-1
    detail.hit.zdb_id: 2709742-0
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  • 9
    Online Resource
    Online Resource
    Structural nonlinear damage identification based on Bayesian optimization GNAR/GARCH model and its experimental study
    Elsevier BV ; 2022
    In:  Structures Vol. 45 ( 2022-11), p. 867-885
    Details
    In: Structures, Elsevier BV, Vol. 45 ( 2022-11), p. 867-885
    Type of Medium: Online Resource
    ISSN: 2352-0124
    URL: Article
    DOI: 10.1016/j.istruc.2022.09.067
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2786028-0
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  • 10
    Online Resource
    Online Resource
    Structural Nonlinear Damage Identification Using the Residual Deviation Distance Conversion Index of the Time-Domain Model
    World Scientific Pub Co Pte Ltd ; 2022
    In:  International Journal of Structural Stability and Dynamics Vol. 22, No. 03n04 ( 2022-03-30)
    Details
    In: International Journal of Structural Stability and Dynamics, World Scientific Pub Co Pte Ltd, Vol. 22, No. 03n04 ( 2022-03-30)
    Abstract: Steel structures such as transmission towers may have cracks and other damages during the service period. When the structure vibrates, the cracks will open and close, which makes the structure have nonlinear characteristics of variant stiffness. In order to identify this type of nonlinear damage, a time-domain damage identification method based on the residual deviation distance (RDD) of the autoregressive conditional heteroskedasticity (ARCH) model is proposed. First, the basic theory of the ARCH model is introduced, and the methods of model order determination and parameter estimation are given. Then, the time-domain nonlinear damage characteristics are analyzed, and the second-order variance (SOV) index based on the ARCH model is introduced. Considering that both the ARCH model coefficient and the RDD contain nonlinear information, a conversion index is constructed using the Euclidean distance (ED) of the ARCH model coefficients before and after the damage. On this basis, an RDD conversion index is further proposed to improve the identification accuracy. Finally, a three-storey frame experiment and a complex transmission tower model experiment are used to verify the effectiveness of the proposed method. The experimental results show that the proposed RDD conversion index can better identify the location of structural damage, and the identification results of the RDD conversion index are obviously better than those of the SOV conversion index and the ED conversion index.
    Type of Medium: Online Resource
    ISSN: 0219-4554 , 1793-6764
    URL: Article
    DOI: 10.1142/S0219455422400028
    Language: English
    Publisher: World Scientific Pub Co Pte Ltd
    Publication Date: 2022
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