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      • Community Productivity and Species Diversity After Four Year's Restoration from Grazing in Inner Mongolian Grassland

        Ying Zhi Gao,Shi Ping Wang,De Li Wang,Jie Zhang,Huai Yu Wan 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08

        To explore the relationship of species diversity and aboveground productivity in grazing ecosystem is very important to manage grassland. We used the four years' data to check this relationship and to look how abiotic factor affect species diversity and aboveground productivity. We found a good linear relationship between species diversity and aboveground productivity in all previous grazing sites, while no any relationship was found in the no grazing site. From our results, we concluded that drought affects aboveground productivity more than grazing, while heavy grazing affects species diversity more than drought in Inner Mongolian steppe.

      • The Dynamics of Major Species During the First four Year's Restoration from Grazing in Inner Mongolian Grassland

        Ying Zhi Gao,Shi Ping Wang,You Neng Yang,De Li Wang,Jie Zhang 한국초지조사료학회 2009 한국초지조사료학회 학술대회논문집 Vol.2009 No.08

        Grazing restoration succession of the degraded grassland is an important aspect in community ecology. Field experiment was carried out to examine how major species restore in first four years restoration following 11 consecutive grazing under different stocking rates in Inner Mongolian steppe. A. frigida and P. acaulis are the most important two species in the all treatments (NG, LG, MG and HG) after four years restoration, although they had high fluctuation. The biomasses of these two species account for 40-90% of total biomass. Especially in no grazing area, which was exclosured since 1990, A. frigida and P. acaulis are still the most important two species in the community. These results suggested A. frigida and P. acaulis conununity are quite stable, and will keep long-time if no special measurements were taken during the restoration of the degraded grassland.

      • KCI등재

        Computed Tomography Arteriography for Detecting the Origin of the Inferior Pyloric Artery in Patients with Gastric Cancer

        Zhi-Long Wang,Ru-Lin Miao,Chao Gao,Lei Tang,Zi-Yu Li,Ying-Shi Sun,Jia-Fu Ji 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.3

        Objective: To analyze the detection rate of the inferior pyloric artery (IPA) in patients with gastric cancer by computed tomography arteriography (CTA). Materials and Methods: Fifty-four patients (48 males and 6 females; mean age, 59.0 ± 1.5 years) who had undergone radical gastrectomy for gastric cancer from September 2016 to July 2017 at our institution were recruited prospectively. Patients underwent abdominal contrast-enhanced CT scans and CTA imaging reconstruction before the operation. The origin of the IPA in all cases was determined by a radiologist based on CTA images and verified by the surgeon. The accuracy of CTA in diagnosing the origin of the IPA was calculated. Dominant vessels of the origin were analyzed. Results: IPAs were detected by CTA in 51 patients (94.4%). Among these, IPAs originated from the right gastroepiploic artery (RGEA) (24 cases), the gastroduodenal artery (GDA) (4 cases), and the anterior superior pancreaticoduodenal artery (ASPDA) (20 cases). In the remaining 3 cases, the IPAs contained two branches originating from the RGEA and ASPDA, respectively. During surgery, in 2 (3.7%) of the 54 cases of gastric cancer, IPAs could not be detected; the IPAs originated from the RGEA (22 cases), GDA (5 cases), and ASPDA (24 cases). One case had an IPA originating from both the RGEA and the GDA. Finally, the accuracy of CTA in diagnosing the origin artery of the IPA was 85.2% (46/54). Conclusion: CTA can detect the origin of the IPA accurately, which can aid surgeons while performing pylorus-preserving operations.

      • SCIESCOPUS

        The refined theory of 2D quasicrystal deep beams based on elasticity of quasicrystals

        Gao, Yang,Yu, Lian-Ying,Yang, Lian-Zhi,Zhang, Liang-Liang Techno-Press 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.53 No.3

        Based on linear elastic theory of quasicrystals, various equations and solutions for quasicrystal beams are deduced systematically and directly from plane problem of two-dimensional quasicrystals. Without employing ad hoc stress or deformation assumptions, the refined theory of beams is explicitly established from the general solution of quasicrystals and the Lur'e symbolic method. In the case of homogeneous boundary conditions, the exact equations and exact solutions for beams are derived, which consist of the fourth-order part and transcendental part. In the case of non-homogeneous boundary conditions, the exact governing differential equations and solutions under normal loadings only and shear loadings only are derived directly from the refined beam theory, respectively. In two illustrative examples of quasicrystal beams, it is shown that the exact or accurate analytical solutions can be obtained in use of the refined theory.

      • miR-200a Inhibits Tumor Proliferation by Targeting AP-2γ in Neuroblastoma Cells

        Gao, Shun-Li,Wang, Li-Zhong,Liu, Hai-Ying,Liu, Dan-Li,Xie, Li-Ming,Zhang, Zhi-Wei Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.11

        Background: MicroRNA-200a (miR-200a) has been reported to regulate tumour progression in several tumours but little is known about its role in neuroblastoma. Our aim was to investigate the potential role and mechanism of miR-200a in neuroblastomas. Materials and Methods: Expression levels of miR-200a in tissues were determined using RT-PCR. The effect of miR-200a and shAP-$2{\gamma}$ on cell viability was evaluated using MTS assays, and target protein expression was determined using Western blotting and RT-PCR. Luciferase reporter plasmids were constructed to confirm direct targeting. Results were reported as mean${\pm}$S.E.M and differences were tested for significance using the 2-tailed Students t-test. Results: We determined that miR-200a expression was significantly lower in neuroblastoma tumors than the adjacent non-cancer tissue. Over-expression of miR-200 are reduced cell viability in neuroblastoma cells and inhibited tumor growth in mouse xenografts. We identified AP-$2{\gamma}$ as a novel target for miR-200a in neuroblastoma cells. Thus miR-200a targets the 3'UTR of AP-$2{\gamma}$ and inhibits its mRNA and protein expression. Furthermore, our result showed that shRNA knockdown of AP-$2{\gamma}$ in neuroblastoma cells results in significant inhibit of cell proliferation and tumor growth in vitro, supporting an oncogenic role of AP-$2{\gamma}$ in neuroblastoma. Conclusions: Our study revealed that miR-200a is a candidate tumor suppressor in neuroblastoma, through direct targeting of AP-$2{\gamma}$. These findings re-enforce the proposal of AP-$2{\gamma}$ as a therapeutic target in neuroblastoma.

      • KCI등재

        White organic light-emitting diodes based on benzothiazole derivative

        Hui-ying Fu,Xiao-tong Ye,Gao-yu Zhong,Zhi-yang Zhong,Fei Xiao 한국물리학회 2010 Current Applied Physics Vol.10 No.5

        This paper describes the white organic light-emitting diodes (WOLEDs) made from a benzothiazole derivative, N-(4-(benzo[d]thiazol-2-yl)phenyl)-N-phenylnaphthalen-1-amine (BPNA). The bright yellowish-white emission was obtained from a non-doped triple-layer device: ITO/NPB (40 nm)/BPNA (50 nm)/Alq3 (40 nm)/LiF/Al. The Commission Internationale de L’Eclairage (CIE) coordinates of the device were (0.24, 0.36) at 10 V. The maximum brightness of the device was 9225 cd/㎡ at 14.4 V. A current efficiency of 3.08 cd/A, a power efficiency of 1.21 lm/W and an external quantum efficiency of 1.18% at a driving current density of 20 mA/㎠ were achieved. WOLED with a DCJTB-doped structure of ITO/TcTa/BPNA/BPNA: DCJTB (0.5%)/BPNA/BCP/Alq3/LiF/Al was fabricated in comparison with the non-doped device. The device emitted bright white light with the CIE coordinates of (0.33, 0.29) at 10 V and a maximum luminance of 7723 cd/㎡ at 14.8 V.

      • KCI등재

        The refined theory of 2D quasicrystal deep beams based on elasticity of quasicrystals

        Yang Gao,Lian-Ying Yu,Lian-Zhi Yang,Liang-Liang Zhang 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.53 No.3

        Based on linear elastic theory of quasicrystals, various equations and solutions for quasicrystal beams are deduced systematically and directly from plane problem of two-dimensional quasicrystals. Without employing ad hoc stress or deformation assumptions, the refined theory of beams is explicitly established from the general solution of quasicrystals and the Lur’e symbolic method. In the case of homogeneous boundary conditions, the exact equations and exact solutions for beams are derived, which consist of the fourth-order part and transcendental part. In the case of non-homogeneous boundary conditions, the exact governing differential equations and solutions under normal loadings only and shear loadings only are derived directly from the refined beam theory, respectively. In two illustrative examples of quasicrystal beams, it is shown that the exact or accurate analytical solutions can be obtained in use of the refined theory.

      • Disorders of Small and Large Intestine : Colorectal Cancer In Guangdong Province: A Demographic And Anatomic Survey

        ( An Gao Xu ),( Bo Jiang ),( Zhi Jin Yu ),( Xin Ying Wang ),( Xu Hui Zhong ),( Ji Hong Liu ),( Li Shou Xiong ),( Qiu Yun Luo ),( Ai Hua Gan ) 대한소화기학회 2007 SIDDS Vol.9 No.-

        Background/Aims: Colorectal cancer is the third leading incidence of malignant tumour in the world and the incidence of colorectal cancer has steadily been increasing in Asia in recently years. The aim of our study is to determine the basic demographic features of patients with colorectal cancer and the anatomic distribution and characteristics of the tumour in Guangdong population. Methods: A review of patients from 1990 to 2004 at five hospitals was conducted, including Peal Triangle Area in Guangdong (Nanfang Hospital and Huizhou Central People`s Hospital), North area of Guangdong (Shaoguan North-Guangdong People`s Hospital), West area of Guangdong (Affiliated Hospital Guangdong Medical Institute) and East area of Guangdong (Meizhou People`s Hospital). Results: Analysis was carried out on 6,501 patents, only 6,488 cases provided age. The age ranged from 5 years old to 91 years old and the mean age of 6,488 cases is 59. 5.2% (340/6,488) of the patients was young CRC patients. The peak incidence was between the ages 61 and 70 years old (29.5%). The mean age increases from 55 years old (1990-1992) to 61 years old (2002-2004) and the proportion of young CRC patients descends from 7.1% to 3.5%. The make to female ratio is 1.5:1 and the ratio increased with age increasing. Of 6,501 lesions, 3,423 (52.7%) were located in rectum and 3,078 (47.3%) in colon, the ratio of rectum cancer to colon cancer is 1.1:1. The proportion of rectum cancer decreased significantly from 74.5% (1990-1992) to 64.9% (2002-2004) and that of the right sides colon cancer increased from 25.5% to 35.1%. In four different areas, the mean age of CRC increasing and East area of Guangdong ranked the fist. There was no significant difference in the ratio of male to female. Conclusions: The demography of colorectal cancer in Guangdong is different from before and further study should be pursued to find the reason.

      • KCI등재

        A Monocular Structured Light Vision Method for Pose Determination of Large Non-cooperative Satellites

        Bin Liang,Xue-Hai Gao,Le Pan,Zhi-Heng Li,Ying-Chun Zhang 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.6

        A space robotic system is expected to perform on-orbit servicing missions to rescue malfunctionedsatellites in geostationary orbit (GEO). In final berthing and capture, it is difficult for a space robot to determine therelative pose (attitude and position) of a non-cooperative malfunctioned satellite that is usually huge and withoutartificial recognition devices. In this paper, a space robot with a monocular structured light vision subsystem isintroduced to solve the problem. Firstly, the monocular structured light vision subsystem composed of a singlecamera and a point light source is designed. Secondly, a partial rectangular shaped framework, which is verycommon on a non-cooperative malfunctioned satellite, is chosen as the recognition object for non-cooperative posemeasurement. Using projection constraints on rectangle and circular points, a rectangle feature reconstructionalgorithm is proposed. Thirdly, according to the reconstructed rectangle feature, a least square method of posedetermination is presented. Lastly, using a semi-physical vision simulation system, several experiments of typicalcases are simulated to verify the pose determination method of large non-cooperative target. The results show thevalidity and flexibility of the proposed method.

      • Detection of multi-type data anomaly for structural health monitoring using pattern recognition neural network

        Shun Weng,Ke Gao,Zhi-Dan Chen,Hong Ping Zhu,Li-Ying Wu 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1

        The effectiveness of system identification, damage detection, condition assessment and other structural analyses relies heavily on the accuracy and reliability of the measured data in structural health monitoring (SHM) systems. However, data anomalies often occur in SHM systems, leading to inaccurate and untrustworthy analysis results. Therefore, anomalies in the raw data should be detected and cleansed before further analysis. Previous studies on data anomaly detection mainly focused on just single type of data anomaly for denoising or removing outliers, meanwhile, the existing methods of detecting multiple data anomalies are usually time consuming. For these reasons, recognising multiple anomaly patterns for real-time alarm and analysis in field monitoring remains a challenge. Aiming to achieve an efficient and accurate detection for multi-type data anomalies for field SHM, this study proposes a pattern-recognition-based data anomaly detection method that mainly consists of three steps: the feature extraction from the long time-series data samples, the training of a pattern recognition neural network (PRNN) using the features and finally the detection of data anomalies. The feature extraction step remarkably reduces the time cost of the network training, making the detection process very fast. The performance of the proposed method is verified on the basis of the SHM data of two practical long-span bridges. Results indicate that the proposed method recognises multiple data anomalies with very high accuracy and low calculation cost, demonstrating its applicability in field monitoring.

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