23 research outputs found

    Provenance Study of the Terracotta Army of Qin Shihuang’s Mausoleum by Fuzzy Cluster Analysis

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    20 samples and 44 samples of terracotta warriors and horses from the 1st and 3rd pits of Qin Shihuang’s Mausoleum, 20 samples of clay near Qin’s Mausoleum, and 2 samples of Yaozhou porcelain bodies are obtained to determine the contents of 32 elements in each of them by neutron activation analysis (NAA). The NAA data are further analyzed using fuzzy cluster analysis to obtain the fuzzy cluster trend diagram. The analysis shows that the origins of the raw material of the terracotta warriors and horses from 1st and 3rd pits are not exactly the same but are closely related to the loam soil layer near Qin’s Mausoleum while distant from the loess layers in the same area and remotely related to the Yaozhou porcelain bodies. It can be concluded that the raw material of the terracotta warriors and horses was taken from certain loam layer near Qin’s Mausoleum and the kiln sites might be located nearby

    A Fractional Supervision Game Model of Multiple Stakeholders and Numerical Simulation

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    Considering the popular use of a certain kind of supervision management problem in many fields, we firstly build an ordinary supervision game model of multiple stakeholders. Secondly, a fractional supervision game model is set up and solved based on the theory of fractional calculus and a predictor-corrector numerical approach. Thirdly, the methods of phase diagram and time series graph were applied to simulate and analyse the dynamic process of the fractional order game model. Results of numerical solutions are given to illustrate our conclusions and referred to the practice

    Oscillations of ultra-thin copper nanobridges at room temperature: Molecular dynamics simulations

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    We have investigated several ultra-thin copper nanobridges between supporting layers using a classical molecular dynamics simulation and a many-body potential function of the second-moment approximation of tight-binding scheme. This investigation has shown a part of the thermal properties of nanobridges, the tension in the nanobridges, and the resonance of the nanobridges. When the nanobridge has a well-defined structure, the resonant frequency is defined and the phenomenon of resonance is in common with classical oscillation systems

    Multiparty Evolutionary Game Model in Coal Mine Safety Management and Its Application

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    Coal mine safety management involves many interested parties and there are complex relationships between them. According to game theory, a multiparty evolutionary game model is established to analyze the selection of strategies. Then, a simplified three-party model is taken as an example to carry out detailed analysis and solution. Based on stability theory of dynamics system and phase diagram analysis, this article studies replicator dynamics of the evolutionary model to make an optimization analysis of the behaviors of those interested parties and the adjustment mechanism of safety management policies and decisions. The results show how the charge of supervision of government department and inspection of coal mine enterprise impact the efficiency of safety management and the effect of constraint measures and incentive and other measures in safety management

    Evolutionary Stability Analysis of the Coal Mine Safety Management System Governed by Delay and Impulsive Differential Equations

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    Control of unsafe behaviors has always been a difficult point in Coal Mine Safety Management (CMSM). To study the regular pattern of behavior propagations in CMSM, a series of evolutionary dynamical system models are established by the delay and impulsive differential equations (DIDEs). The threshold constraints (TCs) and impulse responses in the models can accurately correspond to the actual inspection and supervision measures in safety management. Through the simulation analysis and comparison of the system stability, it can be concluded that some proper settings of the TCs and impulse responses bring satisfactory evolutionary stability. Based on the main results of this study, we put forward some decision-making suggestions on the control points and control strategies of unsafe behaviors in safety management

    Stability of the Evolutionary Game System and Control Strategies of Behavior Instability in Coal Mine Safety Management

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    In this paper, we try to find the right control method for the game behavior instability in coal mine safety management. Through the analysis and comparison of the system stability with inflexible and flexible costs and penalties, it can be concluded that the dynamical game system with flexible costs (incentive rewards) and flexible penalty mechanism can significantly reduce the dynamics of unsafe behaviors in coal mine safety supervision. A combined mechanism of incentive rewards and flexible penalty is put forward to improve the stability of the dynamical system and control the instability of behaviors effectively. The results of model simulation show that the combined mechanism has very good property and can optimize and control the instability of behaviors and strategies of the interested parties. Based on the theoretical conclusions, some control strategies and policy advice are proposed for the improvement of the system and measures of safety management for government departments

    quantifyingtheadhesionforcesoflymphomacellsbyafmsinglecellforcespectroscopy

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    Cell adhesion plays an important role in regulating diverse physiological functions of cells, and quantitatively characterizing the adhesive behaviors at single-cell level benefits understanding the biology of cells. The advent of atomic force microscopy (AFM) provides a powerful method for investigating the biophysical properties of biological systems at micro/nanoscale under aqueous conditions, and particularly AFM-based single-cell force spectroscopy (SCFS) is able to measure the adhesion forces of single cells. Nevertheless, current SCFS assays are commonly performed on adherent cells, and SCFS studies on mammalian suspended cells are still scarce. In this work, AFM-based SCFS was utilized to measure the adhesion forces of lymphoma cells. First, the adhesion forces between lymphoma cells and rituximab (an antibody which binds to the CD20 antigen on lymphoma cells to activate immunotherapy) were investigated. Then the effects of antibody concentration and experimental parameters on the adhesion force measurements were investigated. Next, the intercellular adhesion forces between lymphoma cells were quantified. The research demonstrates the capabilities of AFM-based SCFS in detecting the adhesive behaviors of mammalian suspended cells and also provides novel insights into the adhesion of lymphoma cells, which will have potential impacts on single-cell biomechanical assays
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