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Search Results: 1 - 10 of 34418 matches for " Qipeng Zhou "
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The Development of the Street—Historical Investigation of Hankow Street before 1861  [PDF]
Gang Wang, Qipeng Liao
Current Urban Studies (CUS) , 2013, DOI: 10.4236/cus.2013.14020
Abstract: For a long period of time, space has only been regarded as an adjunct or background of other things. As Henri Lefebvre believes that space is not a pure physical space, but is the production of social change, social transition and social experience. It is also the production of the complex social relations together with which space together are involved in the historical process. Therefore only incorporating the street into the framework of social history, and regarding it as a part of the same process of social history, can we grasp its true essence? This paper is based on this to give an account of how Hankow street shaped and developed before 1861 and its role in historical process. This paper also reveals the role of the natural environment in the evolution of social history.
The Impact of Chemotherapy on EGFR Mutation Status in Non-Small-Cell Lung Cancer: A Meta-Analysis  [PDF]
Xiaoshun Shi, Fuxi Huang, Allen M. Chen, Zhuolin Wu, Qianqian Huang, Ying Liang, Qipeng Zhou, Haiyun Mo, Xiaoxiang Li, Jiexia Zhang
Open Journal of Genetics (OJGen) , 2017, DOI: 10.4236/ojgen.2017.74010
Abstract: Background: Emerging evidence indicates that chemotherapy for lung cancer may alter EGFR mutation status. However, whether chemotherapy as a firstline treatment may increase or reduce the frequency of EGFR mutations in NSCLC remains uncertain. Therefore, we conducted a meta-analysis to evaluate whether chemotherapy leads to altered EGFR mutation status. Methods: A systematic literature search was performed using the PubMed, OVID, Science Direct, Cochrane Library, and CNKI databases for studies on pre- and post-chemotherapy EGFR mutation status. Relevant studies documenting perichemotherapy EGFR mutation ratios were included. Analyses of pooled odds ratios (OR) were performed. Results: Six studies involving 656 patients were included in this meta-analysis. It was found that chemotherapy may alter EGFR status (OR = 1.93, 95% CI 1.05 - 3.56; p < 0.0001). No significant differences in EGFR mutation alterations were observed in terms of gender, smoking history, EGFR loci, or chemotherapy response in NSCLC patients. Conclusions: Chemotherapy may contribute to altered EGFR status. NSCLC patients with EGFR mutations might need to be considered for EGFR status redeterminations prior to second-line EGFR-TKI treatment or upon tumor recurrence after chemotherapy. Further randomized clinical trials should investigate the impact of neoadjuvant or first-line chemotherapy on EGFR mutation status in NSCLC patients.
Fuse Vernacular Landscape in the Design of Urban Wetland Park
Qipeng Liao
Modern Applied Science , 2011, DOI: 10.5539/mas.v5n4p129
Abstract: The paper tries to indicate how vernacular landscape elements can play the role of inheriting local culture, economizing resources and elevating ecological benefit by analyzing the problems of urban wetland park construction. The vernacular landscape elements are divided into three types: natural vernacular landscape, artificial vernacular landscape, and intangible vernacular landscape. The application of these three kinds of vernacular landscape in the construction of urban wetland park is also elaborated.
Association of a Genetic Variation in a miR-191 Binding Site in MDM4 with Risk of Esophageal Squamous Cell Carcinoma
Liqing Zhou, Xiaojiao Zhang, Ziqiang Li, Changchun Zhou, Meng Li, Xiaohu Tang, Chao Lu, Helou Li, Qipeng Yuan, Ming Yang
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0064331
Abstract: As an oncoprotein, MDM4 plays a key part in P53 tumor suppressor pathway through negatively regulating P53 function. It has been reported that an rs4245739 A>C polymorphism locating in the MDM4 3′-untranslated region creates a miR-191 target site and results in decreased MDM4 expression. Therefore, we investigated the association between this polymorphism and esophageal squamous cell carcinoma (ESCC) risk as well as its biological function in vivo. Genotypes were determined in two independent case-control sets consisted of 1128 ESCC cases and 1150 controls from two regions of China. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated by logistic regression. The impact of the polymorphism on MDM4 expression was examined with esophagus tissues. Our results demonstrated that the MDM4 rs4245739 AC and CC genotypes were significantly associated with decreased ESCC risk compared with the AA genotype in both case-control sets (Jinan set: OR = 0.54, 95% CI = 0.35–0.82, P = 0.004; Huaian set: OR = 0.68, 95% CI = 0.45–0.99, P = 0.049). Stratified analyses revealed that a multiplicative interaction between rs4245739 and smoking or drinking was evident (Gene-smoking: Pinteractioin = 0.022; gene-drinking: Pinteractioin = 0.032). After detecting In vivo MDM4 mRNA expression, we found that the rs4245739 AC and CC genotype carriers had significantly decreased MDM4 expression in normal esophagus tissues compared with AA genotype carriers, indicating a consistent genotype-phenotype correlation. Our results elucidate that the MDM4 rs4245739 polymorphism contributes to susceptibility of ESCC and support the hypothesis that genetic variants, interrupting miRNA-mediated gene regulation, may modify cancer risk.
fMiRNA-192 and miRNA-204 Directly Suppress lncRNA HOTTIP and Interrupt GLS1-Mediated Glutaminolysis in Hepatocellular Carcinoma
Yunxia Ge?,Xiaodan Yan?,Yiguang Jin?,Xinyu Yang?,Xiang Yu?,Liqing Zhou,Sichong Han?,Qipeng Yuan?,Ming Yang
PLOS Genetics , 2015, DOI: 10.1371/journal.pgen.1005726
Abstract: Accumulated evidence demonstrated that long non-coding RNAs (lncRNAs) play a pivotal role in tumorigenesis. However, it is still largely unknown how these lncRNAs were regulated by small ncRNAs, such as microRNAs (miRNAs), at the post-transcriptional level. We here use lncRNA HOTTIP as an example to study how miRNAs impact lncRNAs expression and its biological significance in hepatocellular carcinoma (HCC). LncRNA HOTTIP is a vital oncogene in HCC, one of the deadliest cancers worldwide. In the current study, we identified miR-192 and miR-204 as two microRNAs (miRNAs) suppressing HOTTIP expression via the Argonaute 2 (AGO2)-mediated RNA interference (RNAi) pathway in HCC. Interaction between miR-192 or miR-204 and HOTTIP were further confirmed using dual luciferase reporter gene assays. Consistent with this notion, a significant negative correlation between these miRNAs and HOTTIP exists in HCC tissue specimens. Interestingly, the dysregulation of the three ncRNAs was associated with overall survival of HCC patients. In addition, the posttranscriptional silencing of HOTTIP by miR-192, miR-204 or HOTTIP siRNAs could significantly suppress viability of HCC cells. On the contrary, antagonizing endogenous miR-192 or miR-204 led to increased HOTTIP expression and stimulated cell proliferation. In vivo mouse xenograft model also support the tumor suppressor role of both miRNAs. Besides the known targets (multiple 5’ end HOX A genes, i.e. HOXA13), glutaminase (GLS1) was identified as a potential downstream target of the miR-192/-204-HOTTIP axis in HCC. Considering glutaminolysis as a crucial hallmark of cancer cells and significantly inhibited cell viability after silencingGLS1, we speculate that the miR-192/-204-HOTTIP axis may interrupt HCC glutaminolysis through GLS1 inhibition. These results elucidate that the miR-192/-204-HOTTIP axis might be an important molecular pathway during hepatic cell tumorigenesis. Our data in clinical HCC samples highlight miR-192, miR-204 and HOTTIP with prognostic and potentially therapeutic implications.
Metabolic Regulation of Trisporic Acid on Blakeslea trispora Revealed by a GC-MS-Based Metabolomic Approach
Jie Sun, Hao Li, Qipeng Yuan
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0046110
Abstract: The zygomycete Blakeslea trispora is used commercially as natural source of a-carotene. Trisporic acid (TA) is secreted from the mycelium of B. trispora during mating between heterothallic strains and is considered as a mediator of the regulation of mating processes and an enhancer of carotene biosynthesis. Gas chromatography-mass spectrometry and multivariate analysis were employed to investigate TA-associated intracellular biochemical changes in B. trispora. By principal component analysis, the differential metabolites discriminating the control groups from the TA-treated groups were found, which were also confirmed by the subsequent hierarchical cluster analysis. The results indicate that TA is a global regulator and its main effects at the metabolic level are reflected on the content changes in several fatty acids, carbohydrates, and amino acids. The carbon metabolism and fatty acids synthesis are sensitive to TA addition. Glycerol, glutamine, and ?-aminobutyrate might play important roles in the regulation of TA. Complemented by two-dimensional electrophoresis, the results indicate that the actions of TA at the metabolic level involve multiple metabolic processes, such as glycolysis and the bypass of the classical tricarboxylic acid cycle. These results reveal that the metabolomics strategy is a powerful tool to gain insight into the mechanism of a microorganism’s cellular response to signal inducers at the metabolic level.
The Construction of pDH25-pcpC-Vgb as a Recombinant DNA System for the Intracellular Expression of Vitreoscilla Hemoglobin in Cephalosporium Acremonium
Yubin Liu,Qiang Li,Qipeng Yuan
Modern Applied Science , 2009, DOI: 10.5539/mas.v3n5p75
Abstract: A recombinant DNA system for the intracellular expression of a bacterial heme-binding protein (Vitreoscilla hemoglobin, Vgb) was constructed and named as pDH25-pcpC-Vgb. It could be introduced into a cephalosporin C-producing strain of Cephalosporium acremonium. The Vgb-expressing transformants will provide higher internal oxygen concentrations, which will cause higher yields of cephalosporin C.
Competitive Dynamics on Complex Networks
Jiuhua Zhao,Qipeng Liu,Xiaofan Wang
Physics , 2014,
Abstract: We consider a dynamical network model in which two competitors have fixed and different states, and each normal agent adjusts its state according to a distributed consensus protocol. The state of each normal agent converges to a steady value which is a convex combination of the competitors' states, and is independent of the initial states of agents. This implies that the competition result is fully determined by the network structure and positions of competitors in the network. We compute an Influence Matrix (IM) in which each element characterizing the influence of an agent on another agent in the network. We use the IM to predict the bias of each normal agent and thus predict which competitor will win. Furthermore, we compare the IM criterion with seven node centrality measures to predict the winner. We find that the competitor with higher Katz Centrality in an undirected network or higher PageRank in a directed network is much more likely to be the winner. These findings may shed new light on the role of network structure in competition and to what extent could competitors adjust network structure so as to win the competition.
Distributed Detection via Bayesian Updates and Consensus
Qipeng Liu,Jiuhua Zhao,Xiaofan Wang
Computer Science , 2014,
Abstract: In this paper, we discuss a class of distributed detection algorithms which can be viewed as implementations of Bayes' law in distributed settings. Some of the algorithms are proposed in the literature most recently, and others are first developed in this paper. The common feature of these algorithms is that they all combine (i) certain kinds of consensus protocols with (ii) Bayesian updates. They are different mainly in the aspect of the type of consensus protocol and the order of the two operations. After discussing their similarities and differences, we compare these distributed algorithms by numerical examples. We focus on the rate at which these algorithms detect the underlying true state of an object. We find that (a) The algorithms with consensus via geometric average is more efficient than that via arithmetic average; (b) The order of consensus aggregation and Bayesian update does not apparently influence the performance of the algorithms; (c) The existence of communication delay dramatically slows down the rate of convergence; (d) More communication between agents with different signal structures improves the rate of convergence.
Mechanism design for resource allocation with applications to centralized multi-commodity routing
Qipeng Liu,Yicheng Liu,Pingzhong Tang
Computer Science , 2015,
Abstract: We formulate and study the algorithmic mechanism design problem for a general class of resource allocation settings, where the center redistributes the private resources brought by individuals. Money transfer is forbidden. Distinct from the standard literature, which assumes the amount of resources brought by an individual to be public information, we consider this amount as an agent's private, possibly multi-dimensional type. Our goal is to design truthful mechanisms that achieve two objectives: max-min and Pareto efficiency. For each objective, we provide a reduction that converts any optimal algorithm into a strategy-proof mechanism that achieves the same objective. Our reductions do not inspect the input algorithms but only query these algorithms as oracles. Applying the reductions, we produce strategy-proof mechanisms in a non-trivial application: network route allocation. Our models and result in the application are valuable on their own rights.
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