Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2019 ( 19 )

2018 ( 153 )

2017 ( 181 )

2016 ( 161 )

Custom range...

Search Results: 1 - 10 of 16131 matches for " ZhenQiang Su "
All listed articles are free for downloading (OA Articles)
Page 1 /16131
Display every page Item
The Impact of Opening High-Speed Railway on Guangxi’s Economic Growth—An Empirical Analysis Based on DID Model  [PDF]
Zhenqiang Zhang
Modern Economy (ME) , 2019, DOI: 10.4236/me.2019.103048
Abstract: This paper regards the opening of high-speed railways as a quasi-experiment, using the DID model with two-way fixed effects of economic data from various districts and counties in Guangxi from 2010 to 2016, and finds that the opening of high-speed railways in Guangxi has generally promoted high-speed railway stations. The economic growth of districts and counties, and this effect is increasing with the increase in the opening time; secondly, the high-speed rail has significantly promoted the economic growth in the western Guangxi region and the Beibu Gulf region, with strong regional heterogeneity; thirdly, the high-speed rail. The impact also has industrial differences, and its promotion to the economy is mainly reflected in the secondary industry.
Pitfall of genome-wide association studies: Sources of inconsistency in genotypes and their effects  [PDF]
Huixiao Hong, Lei Xu, Zhenqiang Su, Jie Liu, Weigong Ge, Jie Shen, Hong Fang, Roger Perkins, Leming Shi, Weida Tong
Journal of Biomedical Science and Engineering (JBiSE) , 2012, DOI: 10.4236/jbise.2012.510069
Abstract: Personalized medicine will improve heath outcomes and patient satisfaction. However, implementing personalized medicine based on individuals’ biological information is far from simple, requiring genetic biomarkers that are mainly developed and used by the pharmaceutical companies for selecting those patients who benefit more, or have less risk of adverse drug reactions, from a particular drug. Genome-wide Association Studies (GWAS) aim to identify genetic variants across the human genome that might be utilized as genetic biomarkers for diagnosis and prognosis. During the last several years, high-density genotyping SNP arrays have facilitated GWAS that successfully identified common genetic variants associated with a variety of phenotypes. However, each of the identified genetic variants only explains a very small fraction of the underlying genetic contribution to the studied phenotypic trait. The replication studies demonstrated that only a small portion of associated loci in the initial GWAS can be replicated, even within the same populations. Given the complexity of GWAS, multiple sources of Type I (false positive) and Type II (false negative) errors exist. The inconsistency in genotypes that caused either by the genotypeing experiment or by genotype calling process is a major source of the false GWAS findings. Accurate and reproducible genotypes are paramount as inconsistency in genotypes can lead to an inflation of false associations. This article will review the sources of inconsistency in genotypes and discuss its effect in GWAS findings.
Studies on abacavir-induced hypersensitivity reaction: a successful example of translation of pharmacogenetics to personalized medicine
YongLi Guo,LeMing Shi,HuiXiao Hong,ZhenQiang Su,James Fuscoe,BaiTang Ning
Science China Life Sciences , 2013, DOI: 10.1007/s11427-013-4438-8
Abstract: Abacavir is an effective nucleoside analog reverse transcriptase inhibitor used to treat human immunodeficiency virus (HIV) infected patients. Its main side effect is hypersensitivity reaction (HSR). The incidence of the HSR is associated with ethnicity among patients exposed to abacavir, and retrospective and prospective studies show a significantly increased risk of abacavir-induced HSR in human leukocyte antigen (HLA)-B*57:01-carrying patients. Immunological studies indicated that abacavir interacts specifically with HLA-B*57:01 and changed the binding specificity between the HLA molecule and the HLA-presented endogenous peptide repertoire, leading to a systemic autoimmune reaction. HLA-B*57:01 screening, combined with patch testing, had clinically predictive value and cost-effective impact in reducing the incidence of abacavir-induced HSR regardless of the HLA-B*57:01 prevalence in the population. Therefore, the US Food and Drug Administration (FDA) and international HIV treatment guidelines recommend a routine HLA-B*57:01 screening prior to abacavir treatment to decrease false positive diagnosis and prevent abacavir-induced HSR. The studies of abacavir-induced HSR and the implementation of the HLA-B*57:01 screening in the clinic represent a successful example of the use of pharmacogenetics for personalized diagnosis and therapy.
Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicine
HuiXiao Hong,WenQian Zhang,Jie Shen,ZhenQiang Su,BaiTang Ning,Tao Han,Roger Perkins,LeMing Shi,WeiDa Tong
Science China Life Sciences , 2013, DOI: 10.1007/s11427-013-4439-7
Abstract: Realizing personalized medicine requires integrating diverse data types with bioinformatics. The most vital data are genomic information for individuals that are from advanced next-generation sequencing (NGS) technologies at present. The technologies continue to advance in terms of both decreasing cost and sequencing speed with concomitant increase in the amount and complexity of the data. The prodigious data together with the requisite computational pipelines for data analysis and interpretation are stressors to IT infrastructure and the scientists conducting the work alike. Bioinformatics is increasingly becoming the rate-limiting step with numerous challenges to be overcome for translating NGS data for personalized medicine. We review some key bioinformatics tasks, issues, and challenges in contexts of IT requirements, data quality, analysis tools and pipelines, and validation of biomarkers.
Reciprocal versus Parasocial Relationships in Online Social Networks
Neil Zhenqiang Gong,Wenchang Xu
Computer Science , 2013,
Abstract: Many online social networks are fundamentally directed, i.e., they consist of both reciprocal edges (i.e., edges that have already been linked back) and parasocial edges (i.e., edges that haven't been linked back). Thus, understanding the structures and evolutions of reciprocal edges and parasocial ones, exploring the factors that influence parasocial edges to become reciprocal ones, and predicting whether a parasocial edge will turn into a reciprocal one are basic research problems. However, there have been few systematic studies about such problems. In this paper, we bridge this gap using a novel large-scale Google+ dataset crawled by ourselves as well as one publicly available social network dataset. First, we compare the structures and evolutions of reciprocal edges and those of parasocial edges. For instance, we find that reciprocal edges are more likely to connect users with similar degrees while parasocial edges are more likely to link ordinary users (e.g., users with low degrees) and popular users (e.g., celebrities). However, the impacts of reciprocal edges linking ordinary and popular users on the network structures increase slowly as the social networks evolve. Second, we observe that factors including user behaviors, node attributes, and edge attributes all have significant impacts on the formation of reciprocal edges. Third, in contrast to previous studies that treat reciprocal edge prediction as either a supervised or a semi-supervised learning problem, we identify that reciprocal edge prediction is better modeled as an outlier detection problem. Finally, we perform extensive evaluations with the two datasets, and we show that our proposal outperforms previous reciprocal edge prediction approaches.
On the Security of Trustee-based Social Authentications
Neil Zhenqiang Gong,Di Wang
Computer Science , 2014,
Abstract: Recently, authenticating users with the help of their friends (i.e., trustee-based social authentication) has been shown to be a promising backup authentication mechanism. A user in this system is associated with a few trustees that were selected from the user's friends. When the user wants to regain access to the account, the service provider sends different verification codes to the user's trustees. The user must obtain at least k (i.e., recovery threshold) verification codes from the trustees before being directed to reset his or her password. In this paper, we provide the first systematic study about the security of trustee-based social authentications. Specifically, we first introduce a novel framework of attacks, which we call forest fire attacks. In these attacks, an attacker initially obtains a small number of compromised users, and then the attacker iteratively attacks the rest of users by exploiting trustee-based social authentications. Then, we construct a probabilistic model to formalize the threats of forest fire attacks and their costs for attackers. Moreover, we introduce various defense strategies. Finally, we apply our framework to extensively evaluate various concrete attack and defense strategies using three real-world social network datasets. Our results have strong implications for the design of more secure trustee-based social authentications.
Self-Organized Connectivity Control and Optimization Subjected to Dispersion of Mobile Ad Hoc Sensor Networks
Zhenqiang Mi,Yang Yang,Hao Ding
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/672436
Abstract: This paper addresses the problem of the connectivity control and the self-organized deployment/dispersion of a team of mobile ad hoc sensor nodes. First, to reduce redundant communication links while preserving global connectivity, a distributed link removal algorithm is developed that only requires local information of no more than two-hop neighbors. Secondly, for the purpose of preserving essential links while avoiding collisions, a combined piecewise-continuous motion controller is designed to regulate the motion of mobile sensors between two consecutive switches. The proposed hybrid control system can autonomously disperse a team of mobile sensors towards their final configuration with guaranteed connectivity and collision avoidance. Theoretical analysis and computer simulations have confirmed the efficiency and scalability of the proposed schemes. 1. Introduction The self-organized connectivity control and dispersion of mobile ad hoc sensor networks (MASNs) has been extensively investigated due to its promising potential applications in various fields, such as remote supervision of hazard substances, exploration of unknown fields, and cooperative sensing. Enhancing the coverage of the MASNs could be beneficial, if not critical, for a variety of missions, such as environmental monitoring and disaster management. Moreover, from the wireless communication point of view, the sparse network structure resulted from the enhanced coverage can effectively reduce radio interferences, which is critical for the elimination of excessive message overheads and the reduction of the latency [1]. Furthermore, in energy critical wireless sensor networks, the reduction of message overheads as well as the complexity of the self-organizing algorithms can extend the service lifetime of the systems. In a mobile sensor network, the mobility of sensor nodes provides the possibility for the nodes to deploy to a configuration with desired properties from an arbitrary initial distribution in a self-organized manner. The aforementioned concept of MASNs has attracted numerous research efforts. Among various topics that have been covered, emphasis is placed on the consensus of a group of mobile sensors, such as flocking and rendez-vous, with a particular interest in coverage and connectivity control. Self-organized dispersion, on the other hand, is another fundamentally essential aspect of the system and requires more research efforts. Self-organized dispersion of MASNs can be loosely defined as maximizing coverage with a minimum number of mobile sensors [2]. Significant
Chemotherapy of multidrug-resistant human lung cancer combined with an MDR1 ribozyme retroviral vector in an orthotopic model
Zhenqiang Gao,Zhiping Gao,Xifu Liu
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882442
Reversal of drug resistance of multidrug-resistant human lung cancer cells by an MDR1 ribozyme
Zhenqiang Gao,Zhiping Gao,Xifu Liu
Chinese Science Bulletin , 1997, DOI: 10.1007/BF02882525
Combined therapy of p53-wt and drug in an orthotopic multidrug-resistant human lung cancer model
Zhenqiang Gao,Zhiping Gao,Tao Zhang
Science China Life Sciences , 1997, DOI: 10.1007/BF02879081
Abstract: Balb/c nu/nu mice were inoculated intratracheally with multidrug-resistant human lung cancer cells GLK containing p53 mutation at codon 245 and treated with intratracheal instillation of p53-wt retroviral vector (pDOR53W) to increase cell chemosensitivity, and then with intraperitoneal injection of doxorubicin. 30 d after tumor cell inoculation, 75% of the control mice showed macroscopic tumors in the lung. Sole pDOR53W suppressed GLK tumor formation in 68% of mice; sole doxorubicin 33.3%, but the combination of pDOR53W and doxorubicin 88.9 %. The exogenous p53 sequence was detected and confirmed in the tumor that grew after treatment with pDOR53W retroviral vector by PCR and Southern blot hybridization with p53 cDNA. These results suggested that direct administration of a retroviral vector expressing p53-wt combined with treatment of anticancer agent was an effective therapeutic method for multidrug-resistant human lung cancer.
Page 1 /16131
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.