An eigenspace projection clustering method for structural damage detection

Zhu, Jun-Hua,Yu, Ling,Yu, Li-Li Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.44 No.2

An eigenspace projection clustering method is proposed for structural damage detection by combining projection algorithm and fuzzy clustering technique. The integrated procedure includes data selection, data normalization, projection, damage feature extraction, and clustering algorithm to structural damage assessment. The frequency response functions (FRFs) of the healthy and the damaged structure are used as initial data, median values of the projections are considered as damage features, and the fuzzy c-means (FCM) algorithm are used to categorize these features. The performance of the proposed method has been validated using a three-story frame structure built and tested by Los Alamos National Laboratory, USA. Two projection algorithms, namely principal component analysis (PCA) and kernel principal component analysis (KPCA), are compared for better extraction of damage features, further six kinds of distances adopted in FCM process are studied and discussed. The illustrated results reveal that the distance selection depends on the distribution of features. For the optimal choice of projections, it is recommended that the Cosine distance is used for the PCA while the Seuclidean distance and the Cityblock distance suitably used for the KPCA. The PCA method is recommended when a large amount of data need to be processed due to its higher correct decisions and less computational costs.

An eigenspace projection clustering method for structural damage detection

Jun-hua Zhu,Ling Yu,Li-li Yu 국제구조공학회 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.44 No.2

An eigenspace projection clustering method is proposed for structural damage detection by combining projection algorithm and fuzzy clustering technique. The integrated procedure includes data selection, data normalization, projection, damage feature extraction, and clustering algorithm to structural damage assessment. The frequency response functions (FRFs) of the healthy and the damaged structure are used as initial data, median values of the projections are considered as damage features, and the fuzzy c-means (FCM) algorithm are used to categorize these features. The performance of the proposed method has been validated using a three-story frame structure built and tested by Los Alamos National Laboratory, USA. Two projection algorithms, namely principal component analysis (PCA) and kernel principal component analysis (KPCA), are compared for better extraction of damage features, further six kinds of distances adopted in FCM process are studied and discussed. The illustrated results reveal that the distance selection depends on the distribution of features. For the optimal choice of projections, it is recommended that the Cosine distance is used for the PCA while the Seuclidean distance and the Cityblock distance suitably used for the KPCA. The PCA method is recommended when a large amount of data need to be processed due to its higher correct decisions and less computational costs.

Taguchi Approach for Anti-heat Stress Prescription Compatibility in Mice Spleen Lymphocytes In Vitro

Xiao-yu Zhu,Gui-lin Cheng,Feng-hua Liu,Jin Yu,Yu-jie Wang,Tong-quan Yu,Jian-qin Xu,Ming Wang 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.7

Heat stress (HS) may induce immunosuppression as well as inhibit the proliferation of lymphocytes. This study evaluated the effects on immune function of our prescription on splenic lymphocytes under HS as well as its compatibility. The effects of four herbal extracts from Agastache rugosa, Atractylodes lancea, Cortex Phellodendri, and Gypsum Fibrosum on heat treated splenic lymphocytes were investigated and the compatibility of the prescription was also explored by using the Taguchi method. This study revealed changes in proliferation by traditional Chinese medicines of splenic lymphocytes after HS. Proliferation in the HS group was significantly lower than the control group. Under HS, the effects of higher concentrations of Agastache rugosa (100 and 200 μg/mL), Atractylodes lancea (100 and 200 μg/mL), Cortex Phellodendri (50 and 100 μg/mL) and Gypsum Fibrosum (100 and 200 μg/mL) caused a significant increase on ConA/LPS-induced proliferation of lymphocytes than lower concentrations. We, therefore, conclude that the prescription of traditional Chinese medicines may recover splenic lymphocytes from the immunosuppression induced by HS. The Taguchi design, which allows rapid and high efficiency for the selection of the best conditions for our prescription on HS-treated splenic lymphocytes, demonstrated that Agastache rugosa (200 μg/mL), Atractylodes lancea (200 μg/mL), Cortex Phellodendri (100 μg/mL) and Gypsum Fibrosum (100 μg/mL)were the optimal conditions for the prescription. The validation experiment confirmed that our composition in optimum extraction conditions enhanced effects on ConA or LPS-stimulated lymphocytes under HS. The results showed that the Taguchi optimization approach is a suitable method for optimization of the composition of prescription.

Synthesis, Structures and Photoluminescent Properties of Two Novel Zinc(II) Compounds Constructed from 5-Sulfoisophthalic Acid

Zhu, Yu-Lan,Tang, Xue-Ling,Ma, Kui-Rong,Chen, Hao,Ma, Feng,Zhao, Lian-Hua Korean Chemical Society 2010 Bulletin of the Korean Chemical Society Vol.31 No.7

Hydrothermal reaction of zinc(II) salts with 5-sulfoisophthalic acid monosodium salt ($NaO_3SC_6H_3$-1,3-(COOH)$_2$, $NaH_2$-SIP) and 1,10-phenanthroline (phen) led to two new compounds, [Zn(phen)$_3$$\cdot2H_2SIP\cdot4H_2O$ (1) and [Zn(phen)$_2(H_2O)_2]\cdot2H_2SIP\cdot2H_2O$ (2). They were characterized by element analysis, IR spectroscopy, thermalgravimetric analysis (TGA), X-ray powder diffraction (XRD), and single-crystal X-ray diffraction. Both compounds 1-2 represent the first example of Zn/phen/SIP system. The Zn (II) ion in 1 is six-coordinated by six nitrogen atoms from three phen molecules, and the $H_2SIP^-$ ligands engage in the formation of hydrogen bond. The Zn(II) ion in 2 is coordinated by four nitrogen atoms from two phen molecules and two oxygen atoms from two water molecules. Moreover, both 1 and 2 are assembled into 3D supramolecular architectures by hydrogen bonds (O-H$\ldots$O) and $\pi-\pi$ interactions. Solvent water molecules occupying voids of the compounds serve as receptors or donors of the extensive O-H$\ldots$O hydrogen bonds.

An optical fibre monitoring system for evaluating the performance of a soil nailed slope

Zhu, Hong-Hu,Ho, Albert N.L.,Yin, Jian-Hua,Sun, H.W.,Pei, Hua-Fu,Hong, Cheng-Yu Techno-Press 2012 Smart Structures and Systems, An International Jou Vol.9 No.5

Conventional geotechnical instrumentation techniques available for monitoring of slopes, especially soil-nailed slopes have limitations such as electromagnetic interference, low accuracy, poor longterm reliability and difficulty in mounting a series of strain sensors on a soil nail bar with a small-diameter. This paper presents a slope monitoring system based on fibre Bragg grating (FBG) sensing technology. This monitoring system is designed to perform long-term monitoring of slope movements, strains along soil nails, and other slope reinforcement elements. All these FBG sensors are fabricated and calibrated in laboratory and a trial of this monitoring system has been successfully conducted on a roadside slope in Hong Kong. As part of the slope stability improvement works, soil nails and a toe support soldier-pile wall were constructed. During the slope works, more than 100 FBG sensors were installed on a soil nail, a soldier pile, and an in- place inclinometer. The paper presents the layout and arrangement of the instruments as well as the installation procedures adopted. Monitoring data have been collected since March 2008. This trial has demonstrated the great potential of the optical fibre monitoring system for long-term monitoring of slope performance. The advantages of the slope monitoring system and experience gained in the field implementation are also discussed in the paper.

Overexpression of Astrocyte Elevated Gene-1 (AEG-1) in Cervical Cancer and its Correlation with Angiogenesis

Yu, Jian-Qin,Zhou, Qing,Zhu, Hua,Zheng, Fei-Yun,Chen, Zhi-Wen Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.6

Objectives: To explore the expression of astrocyte elevated gene-1 (AEG-1) in cervical cancer and analyze its correlation with microvascular density (MVD), nuclear factor kappaB (NF-kB p65) and vascular endothelial growth factor (VEGF). Materials and Methods: Immunohistochemical MaxVision method was adopted to detect the expression level of AEG-1, NF-kB p65 and VEGF in 45 samples of invading cervical cancer and 12 samples of cervicitis from The First Affiliated Hospital of Wenzhou Medical University. Tumor microvascular endothelial marker CD34 combined with Weidner was used to determine the MVD in cervical cancer tissue. The positive expression and staining conditions of AEG-1, NF-kB p65 and VEGF in cervical cancer tissues were observed under a light microscope. Correlations between expression of AEG-1 protein and those of NF-Kb p65 and VEGF, as well as MVD, were analyzed using Pearson correlation. Results: The expression levels of AEG-1 were $0.186{\pm}0.043$ in cervical cancer and $0.051{\pm}0.002$ in chronic cervicitis (p<0.01). Moreover, expression of AEG-1 was related to vascular invasion and lymphatic metastasis of cervical cancer (p<0.01), but not with age of the patients, differentiation degree, tumour size, pathological type and parametrial infiltration (p>0.05). Pearson correlation analysis showed that the expression of AEG-1 was linked with NF-kB p65 (r=0.501, p=0.000), VEGF (r=0.718, p=0.000) as well as MVD in cervical cancer tissue (r=0.815, p=0.000). Conclusions: AEG-1 is highly expressed in cervical cancer and promotes angiogenesis, which might be related to the fact that AEG-1 activating the signal pathway of NF-kB could up-regulate the level of VEGF expression.

A MOM-based algorithm for moving force identification: Part I - Theory and numerical simulation

Yu, Ling,Chan, Tommy H.T.,Zhu, Jun-Hua Techno-Press 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.29 No.2

The moving vehicle loads on a bridge deck is one of the most important live loads of bridges. They should be understood, monitored and controlled before the bridge design as well as when the bridge is open for traffic. A MOM-based algorithm (MOMA) is proposed for identifying the timevarying moving vehicle loads from the responses of bridge deck in this paper. It aims at an acceptable solution to the ill-conditioning problem that often exists in the inverse problem of moving force identification. The moving vehicle loads are described as a combination of whole basis functions, such as orthogonal Legendre polynomials or Fourier series, and further estimated by solving the new system equations developed with the basis functions. A number of responses have been combined, some numerical simulations on single axle, two axle and multiple-axle loads, being either constant or timevarying, have been carried out and compared with the existing time domain method (TDM) in this paper. The illustrated results show that the MOMA has higher identification accuracy and robust noise immunity as well as producing an acceptable solution to ill-conditioning cases to some extent when it is used to identify the moving force from bridge responses.

Dimethyl Cardamonin Exhibits Anti-inflammatory Effects via Interfering with the PI3K-PDK1-PKCα Signaling Pathway

Yu, Wan-Guo,He, Hao,Yao, Jing-Yun,Zhu, Yi-Xiang,Lu, Yan-Hua The Korean Society of Applied Pharmacology 2015 Biomolecules & Therapeutics(구 응용약물학회지) Vol.23 No.6

Consumption of herbal tea [flower buds of Cleistocalyx operculatus (Roxb.) Merr. et Perry (Myrtaceae)] is associated with health beneficial effects against multiple diseases including diabetes, asthma, and inflammatory bowel disease. Emerging evidences have reported that High mobility group box 1 (HMGB1) is considered as a key "late" proinflammatory factor by its unique secretion pattern in aforementioned diseases. Dimethyl cardamonin (2',4'-dihydroxy-6'-methoxy-3',5'-dimethylchalcone, DMC) is a major ingredient of C. operculatus flower buds. In this study, the anti-inflammatory effects of DMC and its underlying molecular mechanisms were investigated on lipopolysaccharide (LPS)-induced macrophages. DMC notably suppressed the mRNA expressions of TNF-${\alpha}$, IL-$1{\beta}$, IL-6, and HMGB1, and also markedly decreased their productions in a time- and dose-dependent manner. Intriguingly, DMC could notably reduce LPS-stimulated HMGB1 secretion and its nucleo-cytoplasmic translocation. Furthermore, DMC dose-dependently inhibited the activation of phosphatidylinositol 3-kinase (PI3K), phosphoinositide-dependent kinase 1 (PDK1), and protein kinase C alpha (PKC${\alpha}$). All these data demonstrated that DMC had anti-inflammatory effects through reducing both early (TNF-${\alpha}$, IL-$1{\beta}$, and IL-6) and late (HMGB1) cytokines expressions via interfering with the PI3K-PDK1-PKC${\alpha}$ signaling pathway.

FDG PET-CT in Non-small Cell Lung Cancer: Relationship between Primary Tumor FDG Uptake and Extensional or Metastatic Potential

Zhu, Shou-Hui,Zhang, Yong,Yu, Yong-Hua,Fu, Zheng,Kong, Lei,Han, Da-Li,Fu, Lei,Yu, Jin-Ming,Li, Jia Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.5

Objective: To explore the relationships between primary tumor $^{18}F$-FDG uptake measured as the SUVmax and local extension, and nodal or distant organ metastasis in patients with NSCLC on pretreatment PET-CT. Methods: 93 patients with NSCLC who underwent $^{18}F$-FDG PET-CT scans before the treatment were included in the study. Primary tumor SUVmax was calculated; clinical stages, presence of local extension, nodal and distant organ metastases were recorded. The patients with SUVmax${\geq}2.5$ were divided into low and high SUVmax groups by using the median SUVmax. The low SUVmax group consisted of 45 patients with SUVmax<10.5, the high SUVmax group consisted of 46 patients with SUVmax${\geq}10.5$. Their data were compared statistically. Results: 91 cases with SUVmax${\geq}2.5$ were included for analysis. The mean SUVmax in patients without any metastasis was $7.42{\pm}2.91$ and this was significantly lower than that ($12.18{\pm}4.94$) in patients with nodal and/or distant organ metastasis (P=0.000). In the low SUV group, 19 patients had local extension, 22 had nodal metastasis, and 9 had distant organ metastasis. In the high SUV group, 31 patients had local extension, 37 had nodal metastasis, and 18 had distant organ metastases. There was a significant difference in local extension (P =0.016), distant organ metastasis (P =0.046), and most significant difference in nodal metastasis rate (P =0.002) between the two groups. In addition, there was a moderate correlation between SUVmax and tumor size (r = 0.642, P<0.001), tumor stage (r = 0.546, P<0.001), node stage (r = 0.388, P<0.001), and overall stage (r = 0.445, P= 0.000). Conclusion: Higher primary tumor SUVmax predicts higher extensional or metastatic potential in patients with NSCLC. Patients with higher SUVmax may need a close follow-up and more reasonable individual treatment because of their higher extensional and metastatic potential.

The impact of R&D intensity on firm performance in an emerging market: Evidence from China’s electronics manufacturing firms

Zhu Gui-long,Zhang Yi,Chen Kai-hua,Yu Jiang 기술경영경제학회 2017 ASIAN JOURNAL OF TECHNOLOGY INNOVATION Vol.25 No.1

The impact pattern of R&D intensity on firm performance is an interesting but not explicitlyuntangled topic in the emerging market. This study explores the topic in the context ofChina using a unique unbalanced panel data set for the China’s electronics manufacturingfirms. In order to strengthen the robustness of the statistical results, this study employs twocoherent models: pooled-OLS regression and pooled-quantile regression techniques. Thepooled-OLS regressions focusing on mean effects present the robust evidence of a positiverelationship between R&D intensity on firm performance, and the further pooled-quantileregressions portraying the relative importance of explanatory variables at different points ofthe performance distribution show that the R&D intensity exhibits a stronger impact on thebetter-performance firms. Our study presents some new evidence for the impact of R&Dintensity on firm performance in the emerging market.