A SYNCRO-PARALLEL NONSMOOTH PGD ALGORITHM FOR NONSMOOTH OPTIMIZATION

Feng, Shan,Pang, Li-Ping 한국전산응용수학회 2007 Journal of applied mathematics & informatics Vol.24 No.1

A nonsmooth PGD scheme for minimizing a nonsmooth convex function is presented. In the parallelization step of the algorithm, a method due to Pang, Han and Pangaraj (1991), [7], is employed to solve a subproblem for constructing search directions. The convergence analysis is given as well.

Numerical Investigation and Design of Cold-formed Steel Angle Columns with Complex Edges under Axial Compression

Jun-Feng Zhang,Mengmeng Feng,En-Feng Deng,Shiyun Pang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2

Currently, cold-formed steel (CFS) is widely used in fabricated steel structures for high strength-to-weight ratio and ease for installation. However, limited research is available in the literature on the CFS angle columns with complex edges under axial compression. In this paper, the axial compressive capacity of the CFS angle columns with complex edges was numerically studied. The distortional buckling characteristics of 1008 CFS angle sections with complex edges were analyzed by finite strip software CUFSM. Detailed non-linear finite element model (FEM) was developed based on finite element program ABAQUS and verified by comparing with test results. The verification indicated that the developed FEM could well predict the ultimate strength and failure model of the specimens. Using the validated FEM, an extensive parametric study comprised of 330 models was conducted. The influences of the specimen length, the edge ratio and the limb-width ratio of the angle section on the axial compressive capacity of CFS angle columns with complex edges were evaluated. Then an improved direct strength method (DSM) was proposed based on the existing DSM. The evaluations based on tests and FEA results showed that using the modified DSM to predict the load-bearing capacity of the CFS angle columns with complex edges was feasible.

Protective effect of liensinine on periodontitis through its antioxidant effect in mice

Pang, Liang,Zhu, Kai,Feng, Xia,Liu, Weiwei,Peng, Deguang,Qiu, Lihua,Gao, Xiang,Deng, Jiang,Li, Ying,Zhao, Xin 한국응용생명화학회 2015 Applied Biological Chemistry (Appl Biol Chem) Vol.58 No.6

Liensinine is the most important functional compound in lotus seeds; its protective effect on periodontitis was determined and the mechanism of its antioxidant effect was also explained. During the experiment, we could observe that liensinine could reduce the gingival index in periodontitis-induced mice, and these effects were similar to that during the treatment of periodontitis with the metronidazole drug. After the treatment with liensinine, the serum Immunoglobulin G1 ($IgG_1$) level was found to increase and $IgG_{2a}$ level was found to decrease compared to the periodontitis control mice. Liensinine and metronidazole could increase the superoxide dismutase (SOD) serum levels in the periodontitis-induced mice, and both the drugs at the same concentration (200 mg/kg) showed similar SOD activities, which was found to increase. Liensinine also increased the oxidation-related factor of catalase (CAT), glutathione peroxidase, and decreased nitric oxide, malondialdehyde, and endothelin in the serum of mice, compared to the periodontitis control mice. The serum cytokine levels of Interleukin-6, tumor necrosis factor-${\alpha}$, and Interferon-${\gamma}$ in liensinine-treated mice were lower than the control mice, but higher than the normal mice. The serum IL-4 cytokine level of liensinine-treated mice was reversed, i.e., higher than the control mice. In the periodontal tissue, the mRNA and protein expressions of inhibitor of kappa B-${\alpha}$, trans-forming growth factor beta 1, Interleukin-10, Mn-SOD, Gu/Zn-SOD, and CAT were increased by the treatment with liensinine compared to the control group mice, and nuclear factor kappa B expressions showed the opposite trend. Liensinine is a good functional compound in the treatment of periodontitis, similar to metronidazole drug. Higher concentration of liensinine had better effects.

Stathmin is a Marker of Progression and Poor Prognosis in Esophageal Carcinoma

Wang, Feng,Xuan, Xiao-Yan,Yang, Xuan,Cao, Lei,Pang, Li-Na,Zhou, Ran,Fan, Qin-Xia,Wang, Liu-Xing Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8

Stathmin, also called oncoprotein 18, is a founding member of the family of microtubule-destabilizing proteins that play a critical role in the regulation of mitosis. At the same time stathmin has been recognized as one of responsible factors in cancer cells. The aim of this study was to assess stathmin status, its correlations with clinicopathological parameters and its role as a progosnostic marker in EC patients. The protein and mRNA levels of stathmin were examined byimmunohistochemistry (IHC) and in situ hybridization in 100EC tissues and adjacent noncancerous tissues. mRNA and protein expression of stathmin in three EC cell lines(EC9706, ECa109, EC1 commonly used in research) were also analyzed using immunocytochemistry, western blot and in situ hybridization. The prognostic value of Stathmin expression within the tumor tissues were assessed by Cox regression and Kaplan-Meier analysis. We showed that stathmin expression was significantly higher in EC tissues than in adjacent noncancerous tissues. High stathmin immunostaining score in the EC was positively correlated with tumor differentiation, Tumor invasion, Lymph node metastases, and TNM stage. In addition, we demonstrated that three EC cell lines examined, were constitutively expressing a high level of stathmin. Of those, EC-1 showed the strongest mRNA and protein expression for the stathmin analyzed. Kaplan-Meier analysis showed that significantly longer 5-year survival rate was seen in EC patients with high Stathmin expression, compared to those with low expression of Stathmin expression. Furthermore, multivariate Cox proportional hazard analyses revealed that Stathmin was an independent factors affecting the overall survival probability. In conclusion, our data provide a basis for the concept that stathmin might be associated with EC development and progression. High levels of Stathmin expression in the tumor tissues may be a good prognostic marker for patients with EC.

Protective effect of liensinine on periodontitis through its antioxidant effect in mice

Liang Pang,Kai Zhu,Xia Feng,Weiwei Liu,Deguang Peng,Lihua Qiu,Xiang Gao,Jiang Deng,Ying Li,Xin Zhao 한국응용생명화학회 2015 Applied Biological Chemistry (Appl Biol Chem) Vol.58 No.6

Liensinine is the most important functional compound in lotus seeds; its protective effect on periodontitis was determined and the mechanism of its antioxidant effect was also explained. During the experiment, we could observe that liensinine could reduce the gingival index in periodontitis-induced mice, and these effects were similar to that during the treatment of periodontitis with the metronidazole drug. After the treatment with liensinine, the serum Immunoglobulin G1 (IgG1) level was found to increase and IgG2a level was found to decrease compared to the periodontitis control mice. Liensinine and metronidazole could increase the superoxide dismutase (SOD) serum levels in the periodontitis-induced mice, and both the drugs at the same concentration (200 mg/kg) showed similar SOD activities, which was found to increase. Liensinine also increased the oxidationrelated factor of catalase (CAT), glutathione peroxidase, and decreased nitric oxide, malondialdehyde, and endothelin in the serum of mice, compared to the periodontitis control mice. The serum cytokine levels of Interleukin-6, tumor necrosis factor-a, and Interferon-c in liensinine-treated mice were lower than the control mice, but higher than the normal mice. The serum IL-4 cytokine level of liensinine-treated mice was reversed, i.e., higher than the control mice. In the periodontal tissue, the mRNA and protein expressions of inhibitor of kappa B-a, transforming growth factor beta 1, Interleukin-10, Mn-SOD, Gu/Zn-SOD, and CAT were increased by the treatment with liensinine compared to the control group mice, and nuclear factor kappa B expressions showed the opposite trend. Liensinine is a good functional compound in the treatment of periodontitis, similar to metronidazole drug. Higher concentration of liensinine had better effects.

Differentiation of the Infarct Core from Ischemic Penumbra within the First 4.5 Hours, Using Diffusion Tensor Imaging-Derived Metrics: A Rat Model

Duen-Pang Kuo,Chia-Feng Lu,Michelle Liou,Yung-Chieh Chen,Hsiao-Wen Chung,Cheng-Yu Chen 대한영상의학회 2017 Korean Journal of Radiology Vol.18 No.2

Objective: To investigate whether the diffusion tensor imaging-derived metrics are capable of differentiating the ischemic penumbra (IP) from the infarct core (IC), and determining stroke onset within the first 4.5 hours. Materials and Methods: All procedures were approved by the local animal care committee. Eight of the eleven rats having permanent middle cerebral artery occlusion were included for analyses. Using a 7 tesla magnetic resonance system, the relative cerebral blood flow and apparent diffusion coefficient maps were generated to define IP and IC, half hour after surgery and then every hour, up to 6.5 hours. Relative fractional anisotropy, pure anisotropy (rq) and diffusion magnitude (rL) maps were obtained. One-way analysis of variance, receiver operating characteristic curve and nonlinear regression analyses were performed. Results: The evolutions of tensor metrics were different in ischemic regions (IC and IP) and topographic subtypes (cortical, subcortical gray matter, and white matter). The rL had a significant drop of 40% at 0.5 hour, and remained stagnant up to 6.5 hours. Significant differences (p < 0.05) in rL values were found between IP, IC, and normal tissue for all topographic subtypes. Optimal rL threshold in discriminating IP from IC was about -29%. The evolution of rq showed an exponential decrease in cortical IC, from -26.9% to -47.6%; an rq reduction smaller than 44.6% can be used to predict an acute stroke onset in less than 4.5 hours. Conclusion: Diffusion tensor metrics may potentially help discriminate IP from IC and determine the acute stroke age within the therapeutic time window.

Famine exposure in early life and type 2 diabetes in adulthood: findings from prospective studies in China

Ning Feng,Zhao Jing,Zhang Lei,Wang Weijing,Sun Xiaohui,Song Xin,Zhang Yanlei,Xin Hualei,Gao Weiguo,Gao Ruqin,Zhang Dongfeng,Pang Zengchang 한국영양학회 2023 Nutrition Research and Practice Vol.17 No.4

BACKGROUND/OBJECTIVES: This study examined the relationship between famine exposure in early life and the risk of type 2 diabetes in adulthood during the 1959–1961 Chinese Famine. SUBJECTS/METHODS: A total of 3,418 individuals aged 35–74 years free of diabetes from two studies in 2006 and 2009 were followed up prospectively in 2009 and 2012, respectively. Famine exposure was classified as unexposed (individuals born in 1962–1978), fetal exposed (individuals born in 1959–1961), child exposed (individuals born in 1949–1958), and adolescent/adult exposed (born in 1931–1948). A logistic regression model was used to assess the relationship between famine exposure and diabetes after adjustment for potential covariates. RESULTS: During a three-year follow-up, the age-adjusted incidence rates of type 2 diabetes were 5.7%, 14.5%, 12.7%, and 17.8% in unexposed, fetal-exposed, child-exposed, and adolescent/adult-exposed groups, respectively (P < 0.01). Relative to the unexposed group, the relative risks (95% confidence inter val) for diabetes were 2.15 (1.29–3.60), 1.53 (0.93– 2.51), and 1.65 (0.75–3.63) in the fetal-exposed, child-exposed, and adolescent/adult-exposed groups, after controlling for potential covariates. The interactions between famine exposure and obesity, education level, and family histor y of diabetes were not obser ved, except for the urbanization type. Individuals living in rural areas with fetal and childhood famine exposure were at a higher risk of type 2 diabetes, with relative risks of 8.79 (1.82–42.54) and 2.33 (1.17–4.65), respectively. CONCLUSIONS: These findings indicate that famine exposure in early life is an independent predictor of type 2 diabetes, particularly in women. Early identification and inter vention may help prevent diabetes in later life.

Research on Crack Segmentation Method of Hydro-Junction Project Based on Target Detection Network

Jie Pang,Hua Zhang,Chuncheng Feng,Linjing Li 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.9

The defect detection is an important task for maintaining the hydro-junction project. A two-stage crack defect segmentation method based on target detection network is proposed to solve the problem of severe brightness imbalance and large noise in dam surface images. In the first stage, to improve the ability to locate crack areas, Inception Resnet V2 is used as feature extraction network to help Faster-RCNN extract more effective deep features, and the brightness, contrast of image is randomly adjusted before training. In the second segmentation stage, the crack areas are segmented at pixel-level using K-means. The experimental results on the self-made crack image dataset show that the location accuracy (AP) of the crack areas can be improved by 1.9%, reaching 96.8%, compared with other segmentation networks that do not locate crack areas, the intersection over union for segmentation of cracks (Iou) of the final segmentation results is at least 9.4% higher, reaching 52.7%. This method can provide effective technical support for inspection work of hydro-junction project.

Tunable magnetic properties of double perovskite La₂Fe_2-xCo_xO₆

Wang, Weihua,Feng, Wuwei,Yuan, Jiangyan,Pang, Ning,Zhao, Xiaoxue,Li, Meiyun,Bao, Zhidi,Zhu, Kun,Odkhuu, Dorj Elsevier 2018 PHYSICA B-CONDENSED MATTER - Vol.540 No.-

<P><B>Abstract</B></P> <P>Double perovskite La<SUB>2</SUB>Fe<SUB>2-x</SUB>Co<SUB>x</SUB>O<SUB>6</SUB> was prepared and studied. Orthorhombic and trigonal structures were obtained depend on the molar ratio of Fe to Co. Fe-rich sample demonstrate ferrimagnetic properties; with increasing content of Co, trigonal structure is favored and the net magnetic moment of sample decrease gradually to zero. Our experimental results were further supported by first-principle theoretical calculations and demonstrate that La<SUB>2</SUB>Fe<SUB>2-x</SUB>Co<SUB>x</SUB>O<SUB>6</SUB> is a new high <I>T</I> <SUB> <I>c</I> </SUB> ferromagnetic semiconductor with tunable magnetic properties and is thus a promising material for spintronics devices.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Phase-pure double perovskite La2Fe2-xCoxO6 was prepared. </LI> <LI> Orthorhombic and trigonal structures were obtained depending on the ratio of Fe to Co. </LI> <LI> La2Fe2-xCoxO6 is a new high Tc ferromagnetic semiconductor with tunable magnetic properties. </LI> <LI> Theoretical ab initio calculations further support our experimental results. </LI> </UL> </P>

An Efficient Fire Detection Method Based on Orientation Feature

Mao Ye,Tao Li,Feng Pang,Haiyang Wang,Jian Ding 제어·로봇·시스템학회 2013 International Journal of Control, Automation, and Vol.11 No.5

This paper proposes a novel method for reliable fire detection. The burning fire usually causes rich moving features in terms of directions, which can offer the best chance to distinguish between the fire region and the non-fire one. Motivated by this observation, we design a novel orientation feature to represent this characteristic. Based on this feature, a method is proposed to detect the fire efficiently. First, fire color is utilized to extract the fire candidate areas from the surveillance video. Then, the direction is obtained by computing the optical flow for each pixel in the candidate area. The directions are discretized to four parts. By counting the percentage of pixels whose moving directions fall into these four parts in a period of time, and combining with the two parameters, i.e., both of the number of frames without the moving directions and the number of consecutive frames in the candidate area, we use these six parameters as the fire orientation feature. In the end, by training a support vector machine (SVM) classifier with the input of our fire orientation feature, the candidate area is judged whether it is a fire. Our main contribution is that we design the novel fire orientation feature. The fea-ture can not only characterize the fire intrinsic dynamic properties accurately but also is very efficient. Compared with the art-of-state methods, the experimental results confirm that our approach signifi-cantly improves the accuracy of fire detection and impressively decreases the false alarm rate. The de-tection speed of our approach is also very competitive with the art-of-state fire detection methods.