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Search Results: 1 - 10 of 26374 matches for " Shuang Jiang "
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Hopf Bifurcation Analysis on General Gause-Type Predator-Prey Models with Delay
Shuang Guo,Weihua Jiang
Abstract and Applied Analysis , 2012, DOI: 10.1155/2012/363051
Abstract: A class of three-dimensional Gause-type predator-prey model with delay is considered. Firstly, a group of sufficient conditions for the existence of Hopf bifurcation is obtained via employing the polynomial theorem by analyzing the distribution of the roots of the associated characteristic equation. Secondly, the direction of the Hopf bifurcation and the stability of the bifurcated periodic solutions are determined by applying the normal form method and the center manifold theorem. Finally, some numerical simulations are carried out to illustrate the obtained results.
Global Stability and Hopf Bifurcation for Gause-Type Predator-Prey System
Shuang Guo,Weihua Jiang
Journal of Applied Mathematics , 2012, DOI: 10.1155/2012/260798
Abstract: A class of three-dimensional Gause-type predator-prey model is considered. Firstly, local stability of equilibrium indicating the extinction of top-predator is obtained. Meanwhile, we construct a Lyapunov function, which is an extension of the Lyapunov functions constructed by Hsu for predator-prey system (2005), to give the global stability of the equilibrium. Secondly, we analyze the stability of coexisting equilibrium of predator-prey system with time delay when the predator catches the prey of pregnancy or with growth time. The delay can lead to periodic solutions, which is consistent with the law of growth for birds and some mammals. Further, an explicit formula is given which determines the stability of the bifurcating periodic solutions theoretically and the existence of periodic solutions is displayed by numerical simulations.
Construction of Risk Prediction Model for Alzheimer’s Disease Based on Meta-Analysis  [PDF]
Shuang Jiang, Zhezhi Jin
Open Access Library Journal (OALib Journal) , 2019, DOI: 10.4236/oalib.1105731
Abstract:
Objective: Construction of risk prediction model for Alzheimer’s disease based on Meta-analysis. Method: Documenting such as CNKI, WanFang database and VIP database, which were published in China from 2010 to 2018 and had data on risk factors for Alzheimer’s disease. Meta-analysis of standards compliant literature using RevMan5.3 software and then combine the results to obtain a comprehensive risk for each risk factor, the risk prediction model is established based on the natural logarithmic trans-formation value of the comprehensive risk. Result: A total of 28 articles were included in the literature. There are 7 risk factors entering the model through data screening and they were family history of dementia, ApoE, education level, brain trauma, drinking history, family history of dementia and gender and smoking history, a total of 2,229,980 patients were included. Conclusion: Ultimately the model will be used to effectively control risk factors and slow the progression of the disease.
Effects of Yanggan Lidan Granule on insulin resistance in guinea pigs with induced cholesterol gallstones
Bang-jiang FANG,Shuang ZHOU
Zhong Xi Yi Jie He Xue Bao , 2009,
Abstract: Objective: To observe the effects of Yanggan Lidan Granule (YGLDG), a compound traditional Chinese herbal medicine, on insulin resistance in guinea pigs with induced cholesterol gallstones.Methods: Eighty guinea pigs were randomly divided into normal control group, untreated group, YGLDG group and ursodeoxycholic acid (UDCA) group, with 20 guinea pigs in each group. Except the normal control group, gallstones were induced by high-cholesterol diet in the guinea pigs. The guinea pigs in the normal control group and the untreated group were administered with normal saline. UDCA and YGLDG were given to the guinea pigs in the corresponding groups for seven weeks. Eight guinea pigs of each group were used to measure the glucose infusion rate (GIR) by using hyperinsulinemic-euglycemic clamp technique. At the end the guinea pigs were killed and their gallstone formation was observed.Results: The gallstones in guinea pigs were identified as cholesterol stones by qualitative analysis through infrared spectrum. The incidence rate of cholelithiasis of the untreated group was 82.35%. The GIR of guinea pigs in the untreated group was obviously lowered down as compared with the normal control group. Compared with the untreated group, the GIRs of the YGLDG group and the UDCA group were obviously increased, especially in the YGLDG group. Conclusion: YGLDG may improve insulin resistance in guinea pigs with cholesterol gallstones by elevating GIR obviously.
Hybrid Generative/Discriminative Learning for Automatic Image Annotation
Shuang Hong Yang,Jiang Bian,Hongyuan Zha
Computer Science , 2012,
Abstract: Automatic image annotation (AIA) raises tremendous challenges to machine learning as it requires modeling of data that are both ambiguous in input and output, e.g., images containing multiple objects and labeled with multiple semantic tags. Even more challenging is that the number of candidate tags is usually huge (as large as the vocabulary size) yet each image is only related to a few of them. This paper presents a hybrid generative-discriminative classifier to simultaneously address the extreme data-ambiguity and overfitting-vulnerability issues in tasks such as AIA. Particularly: (1) an Exponential-Multinomial Mixture (EMM) model is established to capture both the input and output ambiguity and in the meanwhile to encourage prediction sparsity; and (2) the prediction ability of the EMM model is explicitly maximized through discriminative learning that integrates variational inference of graphical models and the pairwise formulation of ordinal regression. Experiments show that our approach achieves both superior annotation performance and better tag scalability.
Impact of the Pneumococcal Heptavalent Conjugated Vaccine on Streptococcus pneumoniae Nasopharyngeal Carriage and Antimicrobial Susceptibility in Children 2-5-Year-Old in Beijing, China  [PDF]
Min Lv, Shuang Bai, Yanni Sun, Tiegang Zhang, Aihua Li, Jiang Wu
World Journal of Vaccines (WJV) , 2017, DOI: 10.4236/wjv.2017.73003
Abstract:
Streptococcus pneumoniae is a primary cause of illness and death among children younger than 5 years in China. The heptavalent pneumococcal conjugate vaccine (PCV7) was the only conjugated vaccine (PCV) available in China from 2008 to 2013. This randomized, controlled, open-label study conducted at 46 Beijing clinics involved 3281 healthy 2-5-year-old Chinese children, randomized 1:1 to receive one dose of the S. pneumoniae heptavalent conjugated vaccine (PCV7) (n = 1643) or Haemophilus influenzae type b conjugate vaccine (Hib) (n = 1638). The main objective of this study was to investigate the impact of PCV7 against that of Hib vaccination in the nasopharyngeal S. pneumoniae colonization in healthy Chinese children. Nasopharyngeal (NP) samples for culture, serotyping and antimicrobial susceptibility testing were collected before vaccination and at Day 60 and 180 post-vaccination. A total 3281 children were enrolled in the study. Demographic characteristics were similar among both study groups: 1641 children received PCV7. Before immunization, S. pneumoniae was isolated in 338 and 360 children in the PCV7 (144 PCV7 isolates) and Hib groups (145 PCV7 isolates), respectively. At Day 180, PCV7 vaccination was more effective than Hib vaccination in reduction NP carriage (20.2% [P = 0.052]) and new acquisition (19.0% [P = 0.066]). When reductions in NP carriage and new acquisition of PCV7 VT plus 6A was analyzed, reduction in the PCV7 vaccinated group achieved statistical significance (P = 0.034 and P = 0.042 versus Hib, respectively). NP carriage of NVT increased in both groups (P = 0.305 between study groups at Day 180). PCV7 decreased NP carriage of non-susceptible VT to amoxicillin (P = 0.000), ceftriaxone (P = 0.047) and MDR (P = 0.024) versus Hib. PCV7 vaccination in Chinese children 2 to 5 years of age was more effective than vaccination with Hib in the reduction of S. pneumoniae nasopharyngeal carriage, new acquisition and non-susceptible isolates.
Diversity in functional group and nutritional class of arthropod community on cultivated lucerne grassland
紫花苜蓿草地节肢动物群落功能团和营养层的多样性

JIANG Shuang-lin,
姜双林

生态学杂志 , 2007,
Abstract: An investigation was made on the composition and structure of arthropod community on cultivated lucerne grassland in Qingyang City, Gansu Province. A total of 81 species belonging to 38 families and 15 orders were collected. According to the trophic level and feeding mode, three nutritional classes and fourteen functional groups were established, and the temporal dynamics of the diversities in species, functional group, and nutritional class were analyzed. The results indicated that during the growth season of lucerne, the species of arthropod community had the highest diversity, followed by functional group, and nutritional class. Both species diversity and nutritional class diversity had significant correlations with functional group diversity (P<0.01). Functional group biodiversity had a similar temporal variation trend with species biodiversity, while functional group diversity had less fluctuation. In studying the composition and structure of arthropod communities, species study could be replaced by functional group study to simplify the complicated network relationships among the species in the community, while functional group diversity could be used in evaluating the community similarity and stability.
Association between Serum Ferritin Levels and Risk of the Metabolic Syndrome in Chinese Adults: A Population Study
Jiang Li, Rui Wang, Dan Luo, Shuang Li, Cheng Xiao
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0074168
Abstract: Ferritin is a ubiquitous intracellular protein that can store and release iron and act as a buffer against iron deficiency and iron overload. Ferritin is widely used as a clinical biomarker to evaluate iron status. Increased serum ferritin concentrations have been reported to be associated with metabolic syndrome (MetS) features. However, serum ferritin concentrations differ significantly according to sex and ethnicity, and the data concerning the relationship between serum ferritin concentrations and MetS in Asian men and women are conflicting. This study aimed to explore the relationship between serum ferritin and MetS in Chinese population. Fasting blood samples and anthropometric data collected on 8,441 adults aged 18 and older in 2009 as part of the China Health and Nutrition Survey, a large-scale longitudinal, household-based survey in China. Data was collected by trained physicians and biomarkers were measured with Hitachi Clinical Autoanalyzer 7600 D model and P model. Median levels of serum ferritin were significantly higher in men compared with women (121.9 vs. 51.0 ng/ml, P < 0.001), and significantly lower in non metabolic syndrome population with MetS population (73.2 vs. 106.0 ng/ml, P < 0.001). The difference remained significant after further adjusted for age, nationality, Body mass index (BMI), smoking status, and alcohol consumption. For both men and women, the highest prevalence of MetS occurred in the highest quartile of serum ferritin. The odds ratios increased progressively across the ferritin quartiles (P<0.001 for trend). Increased serum ferritin concentrations are associated with the metabolic syndrome among men and women in China.
Polydiacetylene-Based High-Throughput Screen for Surfactin Producing Strains of Bacillus subtilis
Lingyan Zhu, Qing Xu, Ling Jiang, He Huang, Shuang Li
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0088207
Abstract: Although traditional mutation is still an attractive approach for strain improvement, it is tedious, time-consuming, and inefficient to screen for surfactin producing strains. To overcome this, we developed a high-throughput screening method for surfactin producing mutants by applying polydiacetylene (PDA) vesicles as sensors with visible chromatic change from blue to red, detected as colorimetric response (CR%) signal, which can even semi-quantify the yields of surfactin. Bacillus subtilis 723 was used as parent strain and multiply mutated with atmospheric and room temperature plasma (ARTP). Mutants were cultured in MicroFlask by Duetz (24 square deepwell plates, Applikon Biotechnology) and surfactin titers were tested in 96-well plates with PDA vesicles. Mutants with surfactin titers above150 mg/L (CR% value above 26%) were selected as high-yield strains and further quantified by HPLC. By integrating MicroFlask cultivation and the PDA vesicles detection, we screened 27,000 mutants and found 37 high-yield strains. From these, one mutant produced 473.6 mg/L surfactin (including 353.1 mg/L C15 surfactin), which was 5.4-fold than that of the parent strain. This method is efficient, cost-effective and provides wider application in screening for various surfactants.
Sparse Cumulants Fitting for Direction-of-Arrival Estimation without Redundancy
Shuang Li,Xiaoxiao Jiang,Sai Ma,Yingguan Wang
International Journal of Antennas and Propagation , 2013, DOI: 10.1155/2013/897158
Abstract: A novel direction-of-arrival (DOA) estimation method is proposed based on the sparse cumulants fitting without redundancy. Firstly, we derive that some fourth order cumulants of the array output are redundant and therefore are removed to reduce computational complexity. Then, the left cumulants are sparsely represented on an overcomplete basis and the DOAs are resolved by using a software package. Despite introducing a high variance, the proposed method shows several advantages including the ability to detect more sources than sensors, high resolution, and robustness to all kinds of Gaussian noise. Besides, our method does not have to know, a priori, the number of sources. Simulation results are presented to illustrate the effectiveness and efficiency of the proposed method. 1. Introduction Direction-of-arrival (DOA) estimation using sensor arrays is an important topic since it has been widely used in many applications such as radar, sonar, and wireless communications. Plenty of methods [1–10] were proposed in decades. Among these, the subspace-based methods such as MUSIC [2] and ESPRIT [3] were most popular, which show superior performance than beamforming [4] and time-difference-estimation-based methods [5]. By utilizing intelligent algorithms such as support vector regression and neural network, excellent performance was also achieved for DOA estimation [6–8]. Recently, thanks to the development of compressive sensing (CS) theories [11, 12], the DOA estimation problem has attracted considerable attention. Malioutov et al. [13] proposed the L1-SVD method, which is one of the most successful CS-based DOA estimation methods, showing superior performance than conventional methods. Hyder and Mahata [14] minimized the mixed norm approximation and proposed a method called Joint approximation (JZLA). By vectorizing the covariance matrix of the array output, Zeng et al. [15–17] presented a sparse spectral fitting (SpSF) method which can estimate the DOAs as well as the power at each DOA. Stocia et al. [18] proposed an iterative method, termed SPICE, which is based on covariance matrix fitting and avoids selecting regularization parameter. By using a sparse representation of the array covariance vectors, Yin and Chen [19] presented a method called L1-SRACV and a new error-suppression criterion was given based on weighted covariance vectors fitting. However, all the methods mentioned above either exploit the sources directly or are based on the second order statistics. In fact, most of the source signals are non-Gaussian, so higher order cumulants (HOC) of the
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