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  • Open Access

    ARTICLE

    An Attention-Based Friend Recommendation Model in Social Network

    Chongchao Cai1, 2, Huahu Xu1, *, Jie Wan2, Baiqing Zhou2, Xiongwei Xie3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2475-2488, 2020, DOI:10.32604/cmc.2020.011693 - 16 September 2020

    Abstract In social networks, user attention affects the user’s decision-making, resulting in a performance alteration of the recommendation systems. Existing systems make recommendations mainly according to users’ preferences with a particular focus on items. However, the significance of users’ attention and the difference in the influence of different users and items are often ignored. Thus, this paper proposes an attention-based multi-layer friend recommendation model to mitigate information overload in social networks. We first constructed the basic user and item matrix via convolutional neural networks (CNN). Then, we obtained user preferences by using the relationships between users More >

  • Open Access

    ARTICLE

    A Sentinel-Based Peer Assessment Mechanism for Collaborative Learning

    Cong Wang1, Mingming Zhao2, Qinyue Wang2, 3, Min Li2, *

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2309-2319, 2020, DOI:10.32604/cmc.2020.09958 - 16 September 2020

    Abstract This paper introduces a novel mechanism to improve the performance of peer assessment for collaborative learning. Firstly, a small set of assignments which have being pre-scored by the teacher impartially, are introduced as “sentinels”. The reliability of a reviewer can be estimated by the deviation between the sentinels’ scores judged by the reviewers and the impartial scores. Through filtering the inferior reviewers by the reliability, each score can then be subjected into mean value correction and standard deviation correction processes sequentially. Then the optimized mutual score which mitigated the influence of the subjective differences of More >

  • Open Access

    ARTICLE

    Parameter Calibration of SWMM Model Based on Optimization Algorithm

    Fengchang Xue1, *, Juan Tian1, Wei Wang2, Yanran Zhang1, Gohar Ali3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2189-2199, 2020, DOI:10.32604/cmc.2020.06513 - 16 September 2020

    Abstract For the challenge of parameter calibration in the process of SWMM (storm water management model) model application, we use particle Swarm Optimization (PSO) and Sequence Quadratic Programming (SQP) in combination to calibrate the parameters and get the optimal parameter combination in this research. Then, we compare and analyze the simulation result with the other two respectively using initial parameters and parameters obtained by PSO algorithm calibration alone. The result shows that the calibration result of PSO-SQP combined algorithm has the highest accuracy and shows highly consistent with the actual situation, which provides a scientific and More >

  • Open Access

    ARTICLE

    Awareness as the Most Effective Measure to Mitigate the Spread of COVID-19 in Nigeria

    Isa Abdullahi Baba1, *, Dumitru Baleanu2, 3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 1945-1957, 2020, DOI:10.32604/cmc.2020.011508 - 16 September 2020

    Abstract A mathematical model consisting of a system of four nonlinear ordinary differential equations is constructed. Our aim is to study the dynamics of the spread of COVID-19 in Nigeria and to show the effectiveness of awareness and the need for relevant authorities to engage themselves more in enlightening people on the significance of the available control measures in mitigating the spread of the disease. Two equilibrium solutions; Disease free equilibrium and Endemic equilibrium solutions were calculated and their global stability analysis was carried out. Basic reproduction ratio ( More >

  • Open Access

    ARTICLE

    Analysis and Dynamics of Illicit Drug Use Described by Fractional Derivative with Mittag-Leffler Kernel

    Berat Karaagac1, 2, Kolade Matthew Owolabi1, 3, *, Kottakkaran Sooppy Nisar4

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 1905-1924, 2020, DOI:10.32604/cmc.2020.011623 - 16 September 2020

    Abstract Illicit drug use is a significant problem that causes great material and moral losses and threatens the future of the society. For this reason, illicit drug use and related crimes are the most significant criminal cases examined by scientists. This paper aims at modeling the illegal drug use using the Atangana-Baleanu fractional derivative with Mittag-Leffler kernel. Also, in this work, the existence and uniqueness of solutions of the fractional-order Illicit drug use model are discussed via Picard-Lindelöf theorem which provides successive approximations using a convergent sequence. Then the stability analysis for both disease-free and endemic More >

  • Open Access

    ARTICLE

    Influencing Factors of Load Carrying Capacity and Cooperative Work Laws of Metro Uplift Piles

    Bo Liu1,*, Haoran Li1, Shuya Liu2

    Structural Durability & Health Monitoring, Vol.14, No.3, pp. 249-264, 2020, DOI:10.32604/sdhm.2020.06482 - 14 September 2020

    Abstract The buoyancy of groundwater can reduce the foundation bearing capacity and cause the metro tunnels to float as a whole, which threatens the safety of structures seriously. Therefore, uplift piles are set up to improve the structural stability. In this paper, FLAC3D software is used to establish the calculation models of pile foundation. The bearing failure process of uplift piles was simulated to study the influencing factors on single pile load bearing capacity as well as the cooperative work laws of pile groups. The load-displacement curves of pile top under different length-diameter ratios, pile-soil interface… More >

  • Open Access

    ARTICLE

    Application of Dynamic Programming Algorithm Based on Model Predictive Control in Hybrid Electric Vehicle Control Strategy

    Xiaokan Wang*, Qiong Wang

    Journal on Internet of Things, Vol.2, No.2, pp. 81-87, 2020, DOI:10.32604/jiot.2020.010225 - 14 September 2020

    Abstract A good hybrid vehicle control strategy cannot only meet the power requirements of the vehicle, but also effectively save fuel and reduce emissions. In this paper, the construction of model predictive control in hybrid electric vehicle is proposed. The solving process and the use of reference trajectory are discussed for the application of MPC based on dynamic programming algorithm. The simulation of hybrid electric vehicle is carried out under a specific working condition. The simulation results show that the control strategy can effectively reduce fuel consumption when the torque of engine and motor is reasonably More >

  • Open Access

    ARTICLE

    Immunomodulatory miRNAs as Potential Biomarkers for the Postoperative Course Following Surgery for the Repair of Congenital Heart Defects in Children

    Or Bercovich1, Tal Tirosh-Wagner2, Lior Goldberg1, Amir Vardi3, David Mishali4, Gideon Paret1,#, Yael Nevo-Caspi1,*,#

    Congenital Heart Disease, Vol.15, No.4, pp. 239-249, 2020, DOI:10.32604/CHD.2020.011576 - 07 September 2020

    Abstract Objective: To test the hypothesis that circulating miRNAs-146a, -146b, -155, and -21 reflect the inflammatory state of children following heart surgery, and that they may, therefore, correlate with postoperative parameters. We aimed to quantify miRNAs in blood samples from pediatric patients before and 6, 12, and 24 hours after surgery and to evaluate correlations between the miRNA levels and the postoperative course. Setting: PICU. Patients: Forty-two pediatric patients with CHD who underwent cardiac surgery at Safra Children’s Hospital between 2012–2016. Interventions: none. Outcome Measures: The primary outcomes were the postoperative cardiac complications and the secondary outcomes were the More >

  • Open Access

    ARTICLE

    Alterations in Metabolites Associated with Hypoxemia in Neonates and Infants with Congenital Heart Disease

    Evan Pagano1, Benjamin Frank1, James Jaggers2, Mark Twite3, Tracy T. Urban4, Jelena Klawitter2,#, Jesse Davidson1,#,*

    Congenital Heart Disease, Vol.15, No.4, pp. 251-265, 2020, DOI:10.32604/CHD.2020.012219 - 07 September 2020

    Abstract Objectives: (1) To measure the global shift in the metabolome in hypoxemic versus non-hypoxemic infants with congenital heart disease; (2) To identify metabolites and metabolic pathways that are altered in hypoxemia. Study Design: Analysis of serum samples obtained prior to cardiopulmonary bypass from 82 infants ≤120 days old with congenital heart disease requiring surgery at Children’s Hospital Colorado. Infants were divided into groups based on preoperative oxygen saturations: non-hypoxemic (>92%), mild hypoxemia (85–92%), and severe hypoxemia (<85%). Tandem mass spectrometry was used to analyze 165 targeted metabolites. Partial least squares discriminant analysis and t-tests were used to… More >

  • Open Access

    ARTICLE

    Solar Thermal Heating and Freeze Concentration for Non-Centrifugal Sugar Production: Design and Performance Analysis

    Louis Francois Marie1,*, Sunkara Prudhvi Raj2, Policherla Venkata Sai3, Tara MacLeod1, Morapakala Srinivas2, K. Srinivas Reddy3, Tadhg Seán O’Donovan4

    Energy Engineering, Vol.117, No.5, pp. 323-342, 2020, DOI:10.32604/EE.2020.011035 - 07 September 2020

    Abstract Non-centrifugal cane sugar (NCS), known as Jaggery, is a form of unre- fined sugar which contains molasses. The integration of renewable energy resources in the production of NCS, have been analysed. The work investigates the energy requirements of a system incorporating a freeze-concentrator and a solar thermal heater to reduce the reliance on the combustion of bagasse or other fuels in a Jaggery production process. Depending on the extent to which freeze concentration can be incorporated into the process, results show that the minimum theoretical energy required to produce Jaggery can be reduced by 91.30%… More >

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