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Online Hop Timing Detection and Frequency Estimation of Multiple FH Signals
Zhi-Chao Sha,Zhang-Meng Liu,Zhi-Tao Huang,Yi-Yu Zhou 한국전자통신연구원 2013 ETRI Journal Vol.35 No.5
This paper addresses the problem of online hop timing detection and frequency estimation of multiple frequencyhopping (FH) signals with antenna arrays. The problem is deemed as a dynamic one, as no information about the hop timing, pattern, or rate is known in advance, and the hop rate may change during the observation time. The technique of particle filtering is introduced to solve this dynamic problem, and real-time frequency and direction of arrival estimates of the FH signals can be obtained directly, while the hop timing is detected online according to the temporal autoregressive moving average process. The problem of network sorting is also addressed in this paper. Numerical examples are carried out to show the performance of the proposed method.
Vision-Based Defect Detection for Mobile Phone Cover Glass using Deep Neural Networks
Zhi-Chao Yuan,Zheng-Tao Zhang,Hu Su,Lei Zhang,Fei Shen,Feng Zhang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.6
The emergency of surface defect would significantly influence the quality of MPCG (Mobile Phone Cover Glass). Therefore, efficient defect detection is highly required in the manufacturing process. Focusing on the problem, an automatic detection system is developed in this paper. The system adopts backlight imaging technology to improve the signal to noise ration and imaging effect. Then, a modified segmentation method is presented for defect extraction and measurement based on deep neural networks. In the method, a novel data generation process is provided, with which the drawback that huge amount of data is required for training deep structured networks can be overcome. Finally, experiments are well conducted to verify that satisfactory performance is achieved with the proposed method.
Potential Therapeutic Targets for the Primary Gallbladder Carcinoma: Estrogen Receptors
Zhang, Ling-Qiang,Zhang, Xiu-De,Xu, Jia,Wan, Yong,Qu, Kai,Zhang, Jing-Yao,Wang, Zhi-Xin,Wei, Ji-Chao,Meng, Fan-Di,Tai, Ming-Hui,Zhou, Lei,Liu, Chang Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4
Gallbladder carcinoma, the most frequent malignant neoplasm of the biliary tract system, has always been considered to feature late clinical presentation and diagnosis, limited treatment options and an extremely poor prognosis. In recent years, while the incidence of gallbladder cancer has appeared to be on the increase, the available treatment methods have not greatly improved survival of the affected patients. Thus, exploring new therapeutic targets for this devastating disease is an urgent matter at present. Epidemical studies have demonstrated that the incidence of gallbladder carcinoma exhibits a distinct gender bias, affecting females two to three times more than males, pointing to crucial roles of estrogen. It is well known that estrogen acts on target tissues by binding to estrogen receptors (ERs), which are mainly divided into three subtypes, $ER{\alpha}$, $ER{\beta}$ and $ER{\gamma}$. $ER{\alpha}$ and $ER{\beta}$ appear to have overlapping but also unique even opposite biological effects. As important pathogenic mediators, ERs have been considered to relate to several kinds of tumors. In gallbladder carcinoma tissue, ERs have been shown to be positively expressed, and ERs expression levels are associated with differentiation and prognosis of this cancer. Nevertheless, the exact mechanisms of estrogen inducing growth of gallbladder carcinoma remain poorly understood. On the base of the current investigations, we deduce that estrogen participates in promotion of gallbladder carcinoma by influencing the formation of gallstones, stimulating angiogenesis, and promoting abnormal proliferation. Since ERs mediate the carcinogenic actions of estrogen in gallbladder, and therapy targeting ERs may provide new directions for gallbladder carcinoma. Therefore, it should be stressed that ERs are potential therapeutic targets for gallbladder carcinoma.
Computational modeling of buried blast-induced ground motion and ground subsidence
Zhang, Zhi-Chao,Liu, Han-Long,Pak, Ronald Y.S.,Chen, Yu-Min Techno-Press 2014 Geomechanics & engineering Vol.7 No.6
To complement the method of field-scale seismic ground motion simulations by buried blast techniques, the application and evaluation of the capability of a numerical modeling platform to simulate buried explosion-induced ground motion at a real soil site is presented in this paper. Upon a layout of the experimental setup at a level site wherein multiple charges that were buried over a large-diameter circle and detonated in a planned sequence, the formulation of a numerical model of the soil and the explosives using the finite element code LS-DYNA is developed for the evaluation of the resulting ground motion and surface subsidence. With a compact elastoplastic cap model calibrated for the loess soils on the basis of the site and laboratory test program, numerical solutions are obtained by explicit time integration for various dynamic aspects and their relation with the field blast experiment. Quantitative comparison of the computed ground acceleration time histories at different locations and induced spatial subsidence on the surface afterwards is given for further engineering insights in regard to the capabilities and limitations of both the numerical and experimental approaches.
Hong-bo Zhang,Li-chao Sun,Li-da Zhi,Qian-kuan Wen,Zhi-wei Qi,Sheng-tao Yan,Wen Li,Guo-qiang Zhang 대한약학회 2017 Archives of Pharmacal Research Vol.40 No.10
Sepsis is a systemic inflammatory responsesyndrome caused by severe infections. Astilbin is a dihydroflavonolderivative found in many medicinal and foodplants with multiple pharmacological functions. To investigatethe effects of astilbin on sepsis-induced acute lunginjury (ALI), cecal ligation and puncture was performed onrats to establish a sepsis-induced ALI model; these ratswere then treated with astilbin at different concentrations. Lung injury scores, including lung wet/dry ratio, proteinleakage, myeloperoxidase activity, and inflammatory cellinfiltration were determined to evaluate the effects ofastilbin on sepsis-induced ALI. We found that astilbintreatment significantly attenuates sepsis-induced lunginjury and improves survival rate, lung injury scores, lungwet/dry ratio, protein leakage, myeloperoxidase activity,and inflammatory cell infiltration. Astilbin treatment alsodramatically decreased the production of inflammatorycytokines and chemokines in bronchoalveolar lavage fluid. Further, astilbin treatment inhibited the expression andproduction of macrophage inhibitory factor (MIF), whichinhibits the inflammatory response. Collectively, these datasuggest that astilbin has a protective effect against sepsisinducedALI by inhibiting MIF-mediated inflammatoryresponses. This study provides a molecular basis for astilbinas a new medical treatment for sepsis-induced ALI.
Abietane Diterpenoids from Perovskia atriplicifolia and Their Anti-HBV Activities
Zhi-Yong Jiang,Zhong-Qiu Li,Chao-Guan Huang,Jun Zhou,Qiu-Fen Hu,Wen-Xing Liu,Xiang-Zhong Huang,Wei Wang,Li-Zhu Zhang,Fu-Ting Xia 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.2
Bioassay-guided phytochemical investigation on the 90% EtOH extract of Perovskia atriplicifolia resulted in the isolation of eight abietane diterpenoids, including three new ones (1–3). Based on spectroscopic methods involving 1D and 2D NMR spectroscopy techniques, mass spectrometry, and optical rotation, the structures of the new compounds (1–3) were unambiguously characterized. Compounds 1–2 and 4–8 were evaluated for their anti-HBV (hepatitis B virus) activity in HepG 2.2.15 cell line. Results suggested rosmadial (8) had the most anti-HBV potency, suppressing the secretion of HBsAg and HBeAg, with IC50 values of 0.09 and 0.34 mM, respectively.
Zhang, Yu-Mei,Li, Yong-Qiang,Liu, Zhi-Hui,Liao, Xiao-Li,Liang, Rong,Lin, Yan,Yuan, Chun-Ling,Liao, Si-Na,Liang, Chao-Yong,Li, Qian,Li, Le-Qun Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.8
Objective: To observe the clinical efficacy of bevacizumab concomitant with pemetrexed in patients with advanced non-small cell lung cancer (NSCLC). Materials and Methods: A total of 72 patients were randomly divided into a combination group (pemetrexed+bevacizumab, n=36) and a pemetrexed group (n=36) and assessed for disease control (CR+PR+SD) after 4-cycles of first-line GP chemotherapy (gemcitabine+cisplatin). Clinical efficacy, progression-free survival time (PFS), overall survival time (OS), overall response rate (ORR), disease control rate (DCR) and rate of adverse responses between two groups were observed and compared. Results: ORR and DCR were 27.8% and 83.4% in combination group, and 16.7% and 69.5% in the pemetrexed group, respectively, but there were no significant differences (P>0.05). PFS in combination group and pemetrexed group were 4.6 months and 3.9 months respectively (P=0.09), whereas OS in the combination group was 14 months, evidently higher than in the pemetrexed group (11 months, P=0.004). Adverse responses in both groups included high blood pressure, bleeding, thrombocytopenia, anemia, elevated transaminase, diarrhea, vomiting and proteinuria, but there were no significant differences (P>0.05). Conclusions: Bevacizumab concomitant with pemetrexed has better clinical efficacy and safety, giving rise to prolonged survival time in patients with advanced NSCLC.
Mathematical modeling of a six-axis force/moment sensor
Chao Yuan,Gang Xue,Mei-Zhi Yang,Lu-Ping Luo,Kyoo-Sik Shin,Xue-Wei Zhang 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
In controlling the robot interacting with the external environment, an important role is played by the force/moment sensors. To design a good force sensor, we need to make a good model first. This paper presents a systematic modeling method of one type of force/moment sensor. A model of a previously designed sensor has been built on the basis of static and kinematic equations and a block form of the strain compliance matrix is obtained using the model.