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  • Open Access


    Effects of Equiaxial Strain on the Differentiation of Dental Pulp Stem Cells without Using Biochemical Reagents

    F. S. Tabatabaei, M. Jazayeri, P. Ghahari, N. Haghighipour§

    Molecular & Cellular Biomechanics, Vol.11, No.3, pp. 209-220, 2014, DOI:10.3970/mcb.2014.011.209

    Abstract During orthodontic treatments, applied mechanical forces create strain and result in tooth movement through the alveolar bone. This response to mechanical strain is a fundamental biological reaction. The present study evaluated the effect of equiaxial strain within the range of orthodontic forces on the osteogenic differentiation of human dental pulp stem cells (hDPSCs). Following isolation and culture of hDPSCs, 3rd passage cells were transferred on a silicone membrane covered with collagen. Cell adhesion to the membrane was evaluated under scanning electron microscope (SEM). Cells were divided into three groups: the first group was placed in a conventional culture medium, transferred… More >

  • Open Access


    A Hierarchy Distributed-Agents Model for Network Risk Evaluation Based on Deep Learning

    Jin Yang1, Tao Li1, Gang Liang1,*, Wenbo He2, Yue Zhao3

    CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 1-23, 2019, DOI:10.32604/cmes.2019.04727

    Abstract Deep Learning presents a critical capability to be geared into environments being constantly changed and ongoing learning dynamic, which is especially relevant in Network Intrusion Detection. In this paper, as enlightened by the theory of Deep Learning Neural Networks, Hierarchy Distributed-Agents Model for Network Risk Evaluation, a newly developed model, is proposed. The architecture taken on by the distributed-agents model are given, as well as the approach of analyzing network intrusion detection using Deep Learning, the mechanism of sharing hyper-parameters to improve the efficiency of learning is presented, and the hierarchical evaluative framework for Network Risk Evaluation of the proposed… More >

  • Open Access


    TRISim: A Triage Simulation System to Exploit and Assess Triage Operations for Hospital Managers - Development, Validation and Experiment

    A. Koba yashi1, K. Suginuma2, M. Furui chi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.2, pp. 117-149, 2017, DOI:10.3970/cmes.2017.113.121

    Abstract Triage is a method for determining the priority of patients’ treatment to improve survival rates. Different triage methods are used in hospitals, and they are applied after performing an evaluation based on standard methods such as the Japan Triage Acuity Scale (JTAS) or Emergency Severity Index (ESI). It is important to consider the characteristics of all the hospitals when assigning triage methods and emergency levels to them; the hospital managers make these decisions. We propose a multi-agent simulation method to support the hospital managers in employing the triage protocols according to their environment. We developed a prototype simulation system called… More >

  • Open Access


    Efficient Load-balancing Scheme for Multi-agent Simulation Systems

    K. Kuramoto1, M. Furuichi2, K. Kakuda2

    CMES-Computer Modeling in Engineering & Sciences, Vol.106, No.3, pp. 169-186, 2015, DOI:10.3970/cmes.2015.106.169

    Abstract This paper describes a scheme to improve efficiency of multi-agent simulation system (MAS) on single computer that has multiple processor cores. Simulation technology is applied for broad usage in the world, and MAS gathers attention from the fields that treat complicated and non-numeric issues such as traffic analysis, analyzing evacuation from a building, and defense training. Since the requirements of simulation scale and fidelity are growing, the importance of their performance is also increasing. However, CPU clock speedup is slowing, and improvement of computer performance has come to depend on the number of processors, cores, and graphics processing units. Consequently,… More >

  • Open Access


    Precise Evaluation of Vehicles Emission in Urban Traffic Using Multi-agent-based Traffic Simulator MATES

    Hideki Fujii1, Shinobu Yoshimura1

    CMES-Computer Modeling in Engineering & Sciences, Vol.88, No.1, pp. 49-64, 2012, DOI:10.3970/cmes.2012.088.049

    Abstract Recently, global warming issues have been discussed all over the world. Of the total amount of CO2 emitted in Japan, a transportation sector is responsible for 20%. In the transportation sector, 90% of the emission is due to road traffic. This amount must be reduced drastically to realize a low-carbon society. To do so, various measures have been discussed, and the effects of the measures must be estimated quantitatively. In conventional measurement methods, the amount of vehicle emission is simply calculated by multiplying travel distance or gasoline consumption by a specified emission coefficient. Such an approach neglects the effects of… More >

  • Open Access


    Multi-agent Based Traffic Simulation at Merging Section Using Coordinative Behavior Model

    Hideki Fujii1, Shinobu Yoshimura1, Kazuya Seki1

    CMES-Computer Modeling in Engineering & Sciences, Vol.63, No.3, pp. 265-282, 2010, DOI:10.3970/cmes.2010.063.265

    Abstract Traffic system is a typical complex system emerged through interactions among a large number of traffic actors such as car drivers, pedestrians and others. We model each actor as an intelligent agent that can judge and act by itself autonomously, and develop a traffic simulator named MATES, which is based on an intelligent multi-agent model. In this simulator, microscopic behaviors of the traffic actors cause macroscopic traffic phenomena through their interaction. In this research, we newly develop a coordinative behavior model among multiple cars, and implement it to MATES to enhance the reproducibility of traffic behaviors at merging sections. In… More >

  • Open Access


    MATES : Multi-Agent based Traffic and Environment Simulator -- Theory, Implementation and Practical Application

    S. Yoshimura 1

    CMES-Computer Modeling in Engineering & Sciences, Vol.11, No.1, pp. 17-26, 2006, DOI:10.3970/cmes.2006.011.017

    Abstract This paper describes a development of an advanced traffic simulator based on a multi-agent approach which is named MATES (Multi-Agent based Traffic and Environment Simulator). City traffic phenomena are essentially regarded as complex systems consisting of a number of human beings. Each element creating traffic phenomena such as car (driver), traffic signal, pedestrian and others is modeled as an intelligent agent that possesses its own logic of behavior and preference. The environment surrounding each agent consists of other cars, road network, traffic signals, pedestrian and others. Interaction among numerous agents simulates nonlinear behaviors of city traffic phenomena. First we describe… More >

  • Open Access


    Modification of Nano Tourmaline Surface Treatment Agent and Its Performance on Negative Ion Release

    Guorui Huang1, Zhongkai Cui2, Pengfei Zhu1, Xiaoyun Liu1,*

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 145-150, 2018, DOI:10.32604/cmc.2018.02947

    Abstract In this paper, a kind of wall fabric’s surface treatment agent modified with nonionic surfactant was reported. This surface treatment agent was prepared by using nano tourmaline powder dispersion in water with surfactant as dispersants by sand milling. Under the influence of different dispersants, the negative ions releasing amount of functional wall fabrics, the milling process and the storage stability of nano tourmaline powder dispersion were discussed. The results showed that nano tourmaline powder dispersion achieved the smallest average diameter of 44 nm and had best storage stability that the average diameter maintained below 200 nm in 17 days when… More >

  • Open Access


    Dynamical Interaction Between Information and Disease Spreading in Populations of Moving Agents

    Lingling Xia1, Bo Song2,3, Zhengjun Jing4, Yurong Song5,*, Liang Zhang1

    CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 123-144, 2018, DOI:10.32604/cmc.2018.03738

    Abstract Considering dynamical disease spreading network consisting of moving individuals, a new double-layer network is constructed, one where the information dissemination process takes place and the other where the dynamics of disease spreading evolves. On the basis of Markov chains theory, a new model characterizing the coupled dynamics between information dissemination and disease spreading in populations of moving agents is established and corresponding state probability equations are formulated to describe the probability in each state of every node at each moment. Monte Carlo simulations are performed to characterize the interaction process between information and disease spreading and investigate factors that influence… More >

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