Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2019 ( 23 )

2018 ( 262 )

2017 ( 338 )

2016 ( 276 )

Custom range...

Search Results: 1 - 10 of 18242 matches for " Xiaocong Fang "
All listed articles are free for downloading (OA Articles)
Page 1 /18242
Display every page Item
Bioinformatics insights into acute lung injury/acute respiratory distress syndrome
Xiaocong Fang, Chunxue Bai, Xiangdong Wang
Clinical and Translational Medicine , 2012, DOI: 10.1186/2001-1326-1-9
Abstract: In recent years, there is a great increase in genomics and other molecular research which produced a tremendous amount of information related to molecular biology [1-3]. Meantime, various powerful data mining and statistical bioinformatics methods have been propagated for identifying, prioritizing and classifying robust and generalizable biomarkers with high discriminatory ability [4], and some online bioinformatics data libraries, such as Enzyme, KEGG, Gene Ontology, NCBI Taxonomy, SwissProt and TrEMBL were generated for the store and management of data. Bioinformatics now entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data.Clinical bioinformatics is a new emerging science combining clinical information, (including patients’ complaints, history, clinical symptoms and signs, physicians’ examinations, biochemical analysis, imaging profiles, pathologies), omics science, mathematics, information technology and library data together. It may play a potentially important role in the discovery of biomarkers, which will facilitate the diagnosis of disease, as well as treatment. A commonly used definition of a biomarker is “a characteristic that is objectively measured and evaluated as an indicator of normal biological process, pathogenic processes, or pharmacologic responses to a therapeutic intervention” [5]. Clinical bioinformatics is also a new way to focus on the combination of clinical symptoms and signs with human tissue-generated bioinformatics to get deep and full understand of the risk factors, pathogenesis and progress of human disease. Recent technological developments in genomics, proteomics, metabolomics, are allowing researchers to take an unbiased ‘big-picture’ approach to further elucidate the molecular pathogenesis of lung injury [6] (Figure 1). Recent years, clinical bioinformatics have been widel
A short-term educational program improved physicians’ adherence to guidelines for COPD and asthma in Shanghai
Xiaocong Fang, Shanqun Li, Lei Gao, Naiqing Zhao, Xiangdong Wang, Chunxue Bai
Clinical and Translational Medicine , 2012, DOI: 10.1186/2001-1326-1-13
Abstract: A prescription survey was performed in a random sample of 100 COPD and asthma outpatients to assess their pharmacological therapy. Then, an educational program was conducted in young pulmonary physicians from 83 hospitals in Shanghai. The training course was divided into 7 sessions of 2?hours delivered over 4?days from July 2010 to August 2011. Three months later, all of the participants were asked to take a written examination to assess the efficiency of training.Prescription survey among the patients indicated the prescriptions are not consistent with the recommendations of current GOLD and GINA guidelines. The mainly existing issue is the overuse of inhaled glucocorticosteroid. For the educational program, 161 pulmonary physicians have attended the training course, and 110 clinicians finished the tests with an attendance rate of 68.3%. Although most of the clinicians recognized the increasing burden of COPD and asthma, they do not know well about the core elements of guidelines and their clinical practice is not fully in agreement with current recommendations. Through crossover comparison, our results suggested clinicians’ knowledge of the guidelines was improved after training.We concluded that application of continuous educational programs among physicians might promote their adherence to guidelines, and by that improve the quality of healthcare.Chronic obstructive pulmonary disease (COPD) and asthma are both chronic respiratory diseases characterized by the impairment of lung function, and they are also complex multi-component diseases accompanied with mental and physical co-morbidities [1,2]. In recent years, there has been increasing evidences suggesting that COPD and asthma are imposing enormous burden on patients, healthcare professionals and society in terms of morbidity, mortality, healthcare resources utilization and expense worldwide [3], especially in developing countries [4-9].Despite these striking statistics, the management of COPD and asthma is fa
Effect of Mechanical Properties of Adhesives on Stress Distributions in Structural Bonded Joints
Xiaocong He
Lecture Notes in Engineering and Computer Science , 2010,
Profiling the human response to physical exercise: a computational strategy for the identification and kinetic analysis of metabolic biomarkers
Michael Netzer, Klaus M Weinberger, Michael Handler, Michael Seger, Xiaocong Fang, Karl G Kugler, Armin Graber, Christian Baumgartner
Journal of Clinical Bioinformatics , 2011, DOI: 10.1186/2043-9113-1-34
Abstract: In this work we introduce a novel computational strategy that allows to identify and study kinetic changes of putative biomarkers using targeted MS/MS profiling data from time series cohort studies or other cross-over designs. We propose a prioritization model with the objective of classifying biomarker candidates according to their discriminatory ability and couple this discovery step with a novel network-based approach to visualize, review and interpret key metabolites and their dynamic interactions within the network. The application of our method on longitudinal stress test data revealed a panel of metabolic signatures, i.e., lactate, alanine, glycine and the short-chain fatty acids C2 and C3 in trained and physically fit persons during bicycle exercise.We propose a new computational method for the discovery of new signatures in dynamic metabolic profiling data which revealed known and unexpected candidate biomarkers in physical activity. Many of them could be verified and confirmed by literature. Our computational approach is freely available as R package termed BiomarkeR under LGPL via CRAN http://cran.r-project.org/web/packages/BiomarkeR/ webcite.In metabolomics the bioinformatics-driven search for highly-discriminatory biomarker candidates has become a key task in the biomarker discovery process with the objective of introducing novel biomarkers aiding in diagnosis or therapeutic management [1-4].A wide spectrum of feature selection methods including filter, wrapper or embedded algorithms is available for the identification of significant features in biomedical datasets [5-9]. In particular filter algorithms calculate a measure (score), allowing to rank and prioritize putative biomarker candidates according to their predictive value [8]. However, research is still needed to provide bioinformatics methods for the scientific community that address paired/dependent test hypotheses or time series studies. In addition, the quantitative analysis of networks has in
H-TOSSIM: Extending TOSSIM with Physical Nodes  [PDF]
Wenjun LI, Xiaobin ZHANG, Weihua TAN, Xiaocong ZHOU
Wireless Sensor Network (WSN) , 2009, DOI: 10.4236/wsn.2009.14040
Abstract: As the development of Wireless Sensor Network (WSN), software testing for WSN-based applications be-comes more and more important. Simulation testing is an important approach to WSN-based software testing, and TOSSIM is the most widely used simulation testing tool targeted at TinyOS which is the most popular operating system nowadays. However, simulation testing tools such as TOSSIM can not reveal program er-rors about communication detail or timing, and lack accurate power consumption model and even can not support power consumption estimation. In this paper, a hybrid testbed H-TOSSIM is proposed, which ex-tends TOSSIM with physical nodes. H-TOSSIM uses three physical nodes, of which, one shares the simu-lated environment with all virtual nodes to test the WSN program, and the other two bridge the real world and the simulated environment. H-TOSSIM combines the advantages of both the simulation in physical node and the simulation testing tools in WSN software testing. Through experiments, we show that H-TOSSIM really reveals program errors which the pure simulation testing can not capture, and can support power con-sumption estimation for large WSN with high accuracy and low hardware cost.
The most compact bright radio-loud AGN -- I. A new target sample selected for the space VLBI
Tao An,Xiaocong Wu,Sandor Frey
Physics , 2014, DOI: 10.1007/s10509-014-1979-7
Abstract: We investigated the archival ground-based VLBI images of the extragalactic radio sources included in both the {\it Wilkinson Microwave Anisotropy Probe (WMAP)} and the {\it Planck} catalogues, and selected 49 bright and compact sources as potential targets for space Very Long Baseline Interferometry (VLBI) observations at mm wavelengths. These sources have a flat radio continuum spectrum between 33 and 94~GHz. They are identified as core-dominated active galactic nuclei (AGN), located at declinations above $-40\degr$, and have never been observed with ground-based VLBI at 86~GHz. The radio properties of the 49 new sources are presented. We compare this new sample with similar samples of compact AGN available from earlier studies. The new candidates, together with the existing bright compact AGN sample identified from 86-GHz ground-based VLBI imaging surveys, form a catalogue of more than 160 AGN. These could be primary targets for mm-VLBI observations on the ground, as well as for future mm-wavelength space VLBI missions such as the project with two satellites currently under study in China.
Intensified Eastward and Northward Propagation of Tropical Intraseasonal Oscillation over the Equatorial Indian Ocean in a Global Warming Scenario

YANG Jing,BAO Qing,WANG Xiaocong,

大气科学进展 , 2013,
Abstract: Northward propagation in summer and eastward propagation in winter are two distinguished features of tropical intraseasonal oscillation (TISO) over the equatorial Indian Ocean. According to numerical modeling results, under a global warming scenario, both propagations were intensified. The enhanced northward propagation in summer can be attributed to the enhanced atmosphere-ocean interaction and the strengthened mean southerly wind; and the intensified eastward propagation in winter is associated with the enhanced convection-wind coupling process and the strengthened equatorial Kevin wave. Future changes of TISO propagations need to be explored in more climate models.
N-tuple Zipf Analysis and Modeling for Language, Computer Program and DNA
Xiaocong Gan,Dahui Wang,Zhangang Han
Physics , 2009,
Abstract: n-tuple power law widely exists in language, computer program code, DNA and music. After a vast amount of Zipf analyses of n-tuple power law from empirical data, we propose a model to explain the n-tuple power law feature existed in these information translational carriers. Our model is a preferential selection approach inspired by Simon's model which explained scaling law of single symbol in a sequence Zipf analysis. The kernel mechanism is neat and simple in our model. It can be simply described as a randomly copy and paste process, that is, randomly select a random segment from current sequence and attach it to the end repeatedly. The simulation of our model shows that n-tuple power law exists in model generated data. Furthermore, two estimation equations: the Zipf exponent and the minimal length of n-tuple for power law appears all correspond to empirical data well. Our model can also reproduce the symmetry breaking process of ATGC number differences in DNA data.
A Study on the Risk of Small and Medium Enterprises Financial Outsourcing in China  [PDF]
Fang Fang
Open Journal of Social Sciences (JSS) , 2016, DOI: 10.4236/jss.2016.410001
Abstract: The domestic enterprises began to face fiercer competition, which under the rapid development in the global economy today and the market increasingly competitive. During the government work report of 2015, Prime Minister Li Keqiang first proposed that encouraging people to start their own business and to make innovations, so that can be a new engine of economic development under the China’s New Normal. The leader of the economic reform is the micro, small and medium enterprises. In addition to the support of policy from the government for SMEs in financing, the SMEs should try to reduce the cost of capital by business management. The SMEs also need to create unique core competitiveness, in order to gain a foothold in the ever-changing global market. Outsourcing as one of the important means to reduce operating costs, has been adopted by more and more enterprises. As an auxiliary function of enterprise, financial outsourcing is beneficial to reduce the management cost and improve the efficiency of management. It can also help SMEs focus on the core competitiveness of ascension. When SMEs enjoy the benefits of such financial outsourcing, they are also associated with the risk of outsourcing. If the enterprise does not have a clear understanding and effective management with the outsourcing risk, it will lead to the enterprise cannot reach the purpose of outsourcing, also called the failure of outsourcing activities. Therefore, while the SMEs choose financial outsourcing, they must have the analysis and evaluation system of outsourcing risk. In this paper, based on the above analysis of the background, we study the risk of SMEs financial outsourcing. And after introducing the content and the status quo of financial outsourcing, we discuss the financial risk when the enterprise using financial outsourcing, and classify the risk, then measure the risk response, which in order to offer the decision-making basis for the successful implementation of financial outsourcing activities.
A Study of Financial Risks of Listed Manufacturing Companies in China  [PDF]
Fang Fang
Journal of Financial Risk Management (JFRM) , 2016, DOI: 10.4236/jfrm.2016.54022
Financial risk is an objective phenomenon in economic activities. It has received extensive attention in theoretical and practical fields. For each company and operators in the market economy, the financial risk is an objective existence. The manufacturing industry as a pillar industry of China’s economic development, occupies a large proportion in China’s listed company. However because of the characteristics of its own manufacturing and the increasingly fierce market competition, some manufacturing listed companies went to bankruptcy because of financial risk crisis, so the research on manufacturing listed company financial risk has a very far-reaching significance. With the development of society, the financial risk is becoming more and more complex. This theory will combine research results and empirical analysis, define the concept of financial risk in manufacturing enterprises, use listed Chinese manufacturing companies as the research object, to analyze the cause of financial risk on the basis of reasoning analysis. This article aims to put forward measures to deal with financial risks, according to the Chinese manufacturing industry development situation, using both internal price control mechanism construction and financial risk management mechanism to protect the interests of stakeholders.
Page 1 /18242
Display every page Item

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