111 research outputs found

    Lyapunov-type inequalities for quasilinear systems with antiperiodic boundary conditions

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    We establish some new Lyapunov-type inequalities for one-dimensional p-Laplacian systems with antiperiodic boundary conditions. The lower bounds of eigenvalues are presented.Встановлено дєякі нові нєрівності типу Ляпунова для одновимірних p-лапласових систем з антиперіодичними граничними умовами. Наведено нижні межі для власних значень

    Lyapunov-type inequalities for (m+1)(m+1)th order half-linear differential equations with anti-periodic boundary conditions

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    In this work, we will establish several new Lyapunov-type inequalities for (m+1)(m+1)th order half-linear differential equations with anti-periodic boundary conditions, the results of this paper are new and generalize and improve some early results in the literature

    Impacts of model resolution on simulation of meso-scale eddies in the Northeast Pacific Ocean

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    The model simulated meso-scale eddies in the Northeast Pacific Ocean, using two models with nominal horizontal resolutions of 1/12° and 1/36° in latitude/longitude (grid spacing of 7.5 km and 2.5 km), respectively, are presented. Compared with the 1/12° model, the 1/36° model obtains (1) similar variance and wavenumber spectra of  the sea level anomaly and water temperature anomaly, and (2) increases in the level of the domain-averaged total kinetic energy, eddy kinetic energy (EKE), and variance of horizontal gradient of water temperature. In the interior basin of the southern region, both models show stronger eddy frontal activities, represented by EKE, temperature and its horizontal gradient, in summer and fall than in winter and spring. The challenge of evaluating the realism of high-resolution ocean models with conventional satellite remote sensing observations is discussed

    Research Progress on Virulence Factors of <em>Vibrio alginolyticus</em>: A Key Pathogenic Bacteria of Sepsis

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    As an opportunistic pathogen, V. alginolyticus is commonly found in people with weak immune systems or open wounds. The history of seafood exposure is a major feature of V. alginolyticus infection. V. alginolyticus can infect marine economic animals such as fish, shrimp, and shellfish, and is also one of the key pathogens that cause sepsis in human. Because of its rapid progress and extremely high mortality after the infection, it has received more and more attention in clinical practice. At present, there is no effective method to completely control the incidence of V. alginolyticus. Therefore, it is particularly important to study the virulence factors and pathogenic mechanisms of V. alginolyticus. This article reviews recent studies on virulence factors of V. alginolyticus, such as quorum sensing, virulence proteins, ferroportin hemolysin, flagella, lipopolysaccharide system and biofilm formation, with the hope of providing further insights into aquaculture and public health

    InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes

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    Background Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there have been few integration studies for PPI prediction; one failed to yield appreciable improvement of prediction and the others did not conduct performance comparison. It remains unclear whether an integration of multiple genomic features can improve the PPI prediction and, if it can, how to integrate these features. Results In this study, we first performed a systematic evaluation on the PPI prediction in Escherichia coli (E. coli) by four genomic context based methods: the phylogenetic profile method, the gene cluster method, the gene fusion method, and the gene neighbor method. The number of predicted PPIs and the average degree in the predicted PPI networks varied greatly among the four methods. Further, no method outperformed the others when we tested using three well-defined positive datasets from the KEGG, EcoCyc, and DIP databases. Based on these comparisons, we developed a novel integrated method, named InPrePPI. InPrePPI first normalizes the AC value (an integrated value of the accuracy and coverage) of each method using three positive datasets, then calculates a weight for each method, and finally uses the weight to calculate an integrated score for each protein pair predicted by the four genomic context based methods. We demonstrate that InPrePPI outperforms each of the four individual methods and, in general, the other two existing integrated methods: the joint observation method and the integrated prediction method in STRING. These four methods and InPrePPI are implemented in a user-friendly web interface. Conclusion This study evaluated the PPI prediction by four genomic context based methods, and presents an integrated evaluation method that shows better performance in E. coli

    Lyapunov-type inequalities for (m+1)(m+1)th order half-linear differential equations with anti-periodic boundary conditions

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    In this work, we will establish several new Lyapunov-type inequalities for (m+1)(m+1)th order half-linear differential equations with anti-periodic boundary conditions, the results of this paper are new and generalize and improve some early results in the literature

    Research and Implementation of Tractor Power Shift Clutch Control System

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    Applying power shift control technology on tractor can improve the power, economy and driving comfort of tractor. The separation and engagement control of clutch in tractor power shift transmission system is the key factor to optimize the quality of shift. Through many experiments and tests, an electronic control unit based on MC9S12 was developed, and an effective clutch control strategy was put forward, which improved the jerk of power shift and shortened the gear shift time
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