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Search Results (8)
  • Open Access


    Exploration of the oxidative-inflammatory potential targets of Coicis Semen in osteoarthritis: Data mining and systematic pharmacology


    BIOCELL, Vol.47, No.7, pp. 1623-1643, 2023, DOI:10.32604/biocell.2023.028331

    Abstract Objective: On the basis of data mining, systematic pharmacology, molecular docking, and experiment validation, the oxidative-inflammatory molecular targets of Coicis Semen in the therapy of osteoarthritis (OA) were explored. Methods: The association rule analysis was effectively applied to highlight the correlation between Coicis Semen and oxidative inflammation indices. The random walk model was subsequently used to evaluate the clinical efficacy of Coicis Semen. Network pharmacology was used to predict network targets. The binding affinity of the active ingredient in Coicis Semen to the key target of OA was also successfully predicted. Results: Coicis Semen showed a significant reduction in oxidative-inflammatory… More >

  • Open Access


    Model for Generating Scale-Free Artificial Social Networks Using Small-World Networks

    Farhan Amin, Gyu Sang Choi*

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6367-6391, 2022, DOI:10.32604/cmc.2022.029927

    Abstract The Internet of Things (IoT) has the potential to be applied to social networks due to innovative characteristics and sophisticated solutions that challenge traditional uses. Social network analysis (SNA) is a good example that has recently gained a lot of scientific attention. It has its roots in social and economic research, as well as the evaluation of network science, such as graph theory. Scientists in this area have subverted predefined theories, offering revolutionary ones regarding interconnected networks, and they have highlighted the mystery of six degrees of separation with confirmation of the small-world phenomenon. The motivation of this study is… More >

  • Open Access


    On Mixed Model for Improvement in Stock Price Forecasting

    Qunhui Zhang1, Mengzhe Lu3,4, Liang Dai2,*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 795-809, 2022, DOI:10.32604/csse.2022.019987

    Abstract Stock market trading is an activity in which investors need fast and accurate information to make effective decisions. But the fact is that forecasting stock prices by using various models has been suffering from low accuracy, slow convergence, and complex parameters. This study aims to employ a mixed model to improve the accuracy of stock price prediction. We present how to use a random walk based on jump-diffusion, to obtain stock predictions with a good-fitting degree by adjusting different parameters. Aimed at getting better parameters and then using the time series model to predict the data, we employed the time… More >

  • Open Access


    Segmentation of the Left Ventricle in Cardiac MRI Using Random Walk Techniques

    Osama S. Faragallah1,*, Ghada Abdel-Aziz2, Hala S. El-sayed3, Gamal G. N. Geweid4,5

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 575-588, 2021, DOI:10.32604/iasc.2021.019023

    Abstract As a regular tool for assessing and diagnosing cardiovascular disease (CVD), medical professionals and health care centers, are highly dependent on cardiac imaging. The purpose of dividing the cardiac images is to paint the inner and outer walls of the heart to divide all or part of the limb’s boundaries. In order to enhance cardiologist in the process of cardiac segmentation, new and accurate methods are needed to divide the selected object, which is the left ventricle (LV). Segmentation techniques aim to provide a fast segmentation process and improve the reliability of the process. In this paper, a comparative study… More >

  • Open Access


    Mathematical Model Validation of Search Protocols in MP2P Networks

    Ajay Arunachalam1,*, Vinayakumar Ravi2, Moez Krichen3, Roobaea Alroobaea4, Saeed Rubaiee5

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1807-1829, 2021, DOI:10.32604/cmc.2021.016692

    Abstract Broadcasting is a basic technique in Mobile ad-hoc network (MANET), and it refers to sending a packet from one node to every other node within the transmission range. Flooding is a type of broadcast where the received packet is retransmitted once by every node. The naive flooding technique, floods the network with query messages, while the random walk technique operates by contacting the subsets of every node’s neighbors at each step, thereby restricting the search space. One of the key challenges in an ad-hoc network is the resource or content discovery problem which is about locating the queried resource. Many… More >

  • Open Access


    Analytical Comparison of Resource Search Algorithms in Non-DHT Mobile Peer-to-Peer Networks

    Ajay Arunachalam1,*, Vinayakumar Ravi2, Moez Krichen3, Roobaea Alroobaea4, Jehad Saad Alqurni5

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 983-1001, 2021, DOI:10.32604/cmc.2021.015371

    Abstract One of the key challenges in ad-hoc networks is the resource discovery problem. How efficiently & quickly the queried resource/object can be resolved in such a highly dynamic self-evolving network is the underlying question? Broadcasting is a basic technique in the Mobile Ad-hoc Networks (MANETs), and it refers to sending a packet from one node to every other node within the transmission range. Flooding is a type of broadcast where the received packet is retransmitted once by every node. The naive flooding technique floods the network with query messages, while the random walk scheme operates by contacting subsets of each… More >

  • Open Access


    Prediction and Abnormality Assertion on Emu Brake Pad Based on Multivariate Integrated Random Walk

    Hongsheng Su1,2,∗, Shuangshuang Wang1, Dengfei Wang2

    Computer Systems Science and Engineering, Vol.33, No.5, pp. 351-360, 2018, DOI:10.32604/csse.2018.33.351

    Abstract To better solve the issue with abnormal failure of electric motor unit (EMU) brake pad resulted from various random factors in the ever-changing operating environment, in this paper, a new evaluation method of performance prediction and abnormity decision is proposed based on the Multivariate integrated random walk (MIRW) model. In this method, the state space model of the EMU brake pad performance degradation is firstly established. And then based on the observed data, the brake pad performance degradation trend is extracted by the fixed interval forward - backward smoothing algorithm. Based on it, the future degradation state can be predicted… More >

  • Open Access


    Optimization Design of RC Ribbed Floor System Using Eagle Strategy with Particle Swarm Optimization

    Jiejiang Zhu1, *, Bolun Zhou1

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 365-383, 2020, DOI:10.32604/cmc.2020.06655

    Abstract The eagle strategy algorithm is combined with particle swarm optimization in this paper. The new algorithm, denoted as the ES-PSO, is implemented by interfacing Etabs structural analysis codes. ES-PSO is used to optimize the RC ribbed floor system, including floor and underground garage roof. By considering the effects of reinforcement, the principle of virtual work is applied to calculate the deflections of components. Construction cost is taken as the objective function and the constraint conditions are required to satisfy. Accordingly, the optimal layout, the optimal sections of the beams and slabs and the corresponding reinforcements are obtained for different column… More >

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