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Yan X.,Ningbo UniversityZhejiang
International Journal of Earth Sciences and Engineering | Year: 2015

Selected appropriate primary function and the Max. Spatial size based on fundamental principle of wavelet theory. Performed symmetric boundary continuation of lateral horizontal monitoring data. And then performed decomposition and re-construction of Mallat algorithm of the treated original data to obtain decomposed matrix equation to obtain decomposed low frequency coefficient Cj,k and high frequency coefficient dj,k. Adopted one-dimensional operation for wavelet reconstruction according to decomposed Cj,k and dj,k to remove high frequency partial interfered and eventually to obtain data after de-noise filtering that can be utilized and establish nonlinear method on stability of soft soil deep foundation pit based on Wavelet Transform-Mallat algorithm transform. Set soft soil deep foundation pit excavation in Dongguan as an example, and performed Wavelet Transform-Mallat algorithm transform based on the monitoring data obtained from construction phase. Eventually, obtained data with higher reliability which can be utilized for foundation pit stability analysis. Measurable indicators and numerical analysis contrast have been established to perform noise reduction and filtering effects quantitatively and qualitatively. Through the evaluation it can be seen that soft soil deep foundation pit stability nonlinearity method has high reliability through wavelet-Mallat algorithm and guiding function for engineering practice. © 2015 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved. Source

Han S.,Ningbo Institute of Materials Technology and Engineering | Han S.,Ningbo UniversityZhejiang | Xia Y.,Ningbo Institute of Materials Technology and Engineering | Wei Z.,Ningbo Institute of Materials Technology and Engineering | And 5 more authors.
Journal of Materials Chemistry A | Year: 2015

The Li-rich layered oxides are attractive electrode materials due to their high reversible specific capacity (>250 mA h g-1); however, the origin of their abnormal capacity is still ambiguous. In order to elucidate this curious anomaly, we compare the lattice oxygen oxidation states among the Li-rich layered oxide Li1.14Ni0.136Co0.136Mn0.544O2, Li2MnO3 and LiNi0.5Co0.2Mn0.3O2, the two components in Li-rich layered oxides, and the most common layered oxide LiCoO2 before and after initial charge-discharge. For simplicity, we employ chemical treatments of NO2BF4 and LiI acetonitrile solutions to simulate the electrochemical delithiation and lithiation processes. X-ray photoelectron spectroscopy (XPS) studies reveal that part of lattice oxygen in Li1.14Ni0.136Co0.136Mn0.544O2 and Li2MnO3 undergoes a reversible redox process (possibly O2- 虠 O22-), while this does not occur in LiNi0.5Co0.2Mn0.3O2 and LiCoO2. This indicates that the extra capacity of Li-rich layered oxides can be attributed to the reversible redox processes of oxygen in the Li2MnO3 component. Thermogravimetric analysis (TGA) further suggests that the formed O22- species in the delithiated Li1.14Ni0.136Co0.136Mn0.544O2 can decompose into O2 at about 210 °C. This phenomenon demonstrates a competitive relationship between extra capacity and thermal stability, which presents a big challenge for the practical applications of these materials. © The Royal Society of Chemistry 2015. Source

Tong C.,Ningbo UniversityZhejiang | Lan T.,Ningbo UniversityZhejiang | Shi X.,Ningbo UniversityZhejiang
Chemometrics and Intelligent Laboratory Systems | Year: 2016

The modified independent component analysis (MICA) has been proposed to tackle some shortcomings which existed in the original ICA iterative procedures and has found wide applications in non-Gaussian data modeling. Motivated by the success of MICA, the modified independent component regression (MICR) method for predicting quality properties of non-Gaussian processes keeps drawing attention within the soft sensing circle. However, the determination logic for non-quadratic functions involved in the iterative procedures of MICA algorithm has always been empirical. Without enough prior knowledge, no theoretical investigation can be carried out to conclusively prove which non-quadratic function is optimal for improving the precision of regression models. The selection of non-quadratic functions is still a challenge that has rarely been attempted. Recognition of this issue activates the current study, which proposes a novel soft sensing approach through taking advantage of ensemble learning strategy. Instead of focusing on a single non-quadratic function, the proposed ensemble MICR (EMICR) method takes all three non-quadratic functions into account and combines multiple base MICR models into an ensemble through assigning different weights. The enhanced soft sensing performance is validated through case studies on three non-Gaussian systems. © 2016 Elsevier B.V. Source

Zhong J.Y.,Ningbo UniversityZhejiang | Zheng X.W.,Ningbo UniversityZhejiang | Ye H.D.,Zhejiang University | Cui H.B.,Ningbo UniversityZhejiang | And 8 more authors.
Genetics and Molecular Research | Year: 2015

APC is a tumor suppressor gene that is involved in the processes of cell migration and adhesion, transcriptional activation, and apoptosis. The goal of this study was to evaluate the contribution of the APC rs383830 polymorphism to coronary heart disease (CHD) in Han Chinese. A total of 783 patients with CHD and 737 controls were tested in the current association study. Although our study did not identify an association between the APC rs383830 polymorphism and CHD, a breakdown analysis by gender indicated there was a significant contribution of the rs383830 T allele to the risk of CHD in males (P = 0.046, odds ratio = 1.267, 95% confidence interval = 1.004-1.598). In conclusion, our study suggested a male-specific association of the APC rs383830 polymorphism with CHD. © FUNPEC-RP. Source

Tian S.-R.,Ningbo UniversityZhejiang | Yang G.-H.,Ningbo UniversityZhejiang | Li Z.,Ningbo UniversityZhejiang | Shi K.-Y.,Ningbo UniversityZhejiang | And 2 more authors.
Powder Technology | Year: 2016

Dual-layer granular beds consist of a lower layer of fine granules and an upper layer of coarse granules. In order to study the individual functions of the two granular layers with respect to filtration, a small granular bed filtering device (inner diameter of 100 mm) was employed. The two granular layers were separated using a wire mesh such that the upper layer was laid over the wire mesh. A welas® 3000 aerosol spectrometer was used to determine the dust concentrations and size distributions of the inlets and outlets of the upper and lower layers. According to the results, the upper layer was able to remove 96.08–98.78% of the dust. Moreover, owing to the features of the upper bed, including the coarse nature of its granules, its large voidage, and its deep-bed filtration ability, the pressure drop through the granular layer increased slowly with the amount of dust deposited. The lower layer, which had fine granules, was able to effectively remove the fine particulates that passed through the upper layer, reducing the dust concentration at the outlet to 3–7.5 mg/m3. The experimental results confirmed that the dual-layer granular bed filter exhibits unique synergistic properties, namely, a low pressure drop because of the upper layer and a high filtration efficiency because of the lower layer. © 2016 Elsevier B.V. Source

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