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  • Open Access

    ARTICLE

    An Enhanced Automatic Arabic Essay Scoring System Based on Machine Learning Algorithms

    Nourmeen Lotfy1, Abdulaziz Shehab1,2,*, Mohammed Elhoseny1,3, Ahmed Abu-Elfetouh1

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1227-1249, 2023, DOI:10.32604/cmc.2023.039185 - 31 October 2023

    Abstract Despite the extensive effort to improve intelligent educational tools for smart learning environments, automatic Arabic essay scoring remains a big research challenge. The nature of the writing style of the Arabic language makes the problem even more complicated. This study designs, implements, and evaluates an automatic Arabic essay scoring system. The proposed system starts with pre-processing the student answer and model answer dataset using data cleaning and natural language processing tasks. Then, it comprises two main components: the grading engine and the adaptive fusion engine. The grading engine employs string-based and corpus-based similarity algorithms separately.… More >

  • Open Access

    ARTICLE

    A Scalable Interconnection Scheme in Many-Core Systems

    Allam Abumwais*, Mujahed Eleyat

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 615-632, 2023, DOI:10.32604/cmc.2023.038810 - 31 October 2023

    Abstract Recent architectures of multi-core systems may have a relatively large number of cores that typically ranges from tens to hundreds; therefore called many-core systems. Such systems require an efficient interconnection network that tries to address two major problems. First, the overhead of power and area cost and its effect on scalability. Second, high access latency is caused by multiple cores’ simultaneous accesses of the same shared module. This paper presents an interconnection scheme called N-conjugate Shuffle Clusters (NCSC) based on multi-core multi-cluster architecture to reduce the overhead of the just mentioned problems. NCSC eliminated the… More >

  • Open Access

    ARTICLE

    Le projet Sav-AQ : étude des freins et facteurs à l’utilisation d’un site internet dédié aux patientes atteintes de cancer du sein, l’exemple de la Nouvelle-Aquitaine

    Valérie Berger1,2,*, Hélène Hoarau1,2, Florence Saillour3,4

    Psycho-Oncologie, Vol.17, No.3, pp. 159-166, 2023, DOI:10.32604/po.2023.044727 - 30 September 2023

    Abstract Le développement des plateformes numériques dans le domaine de la santé transforme les interactions soignants-soignés et la diffusion des savoirs. S’informer par le biais d’internet est devenu une habitude pour de nombreux patients et doit être pris en compte par les soignants. Ainsi, comprendre les usages des outils numériques par les patients est un enjeu de santé publique. L’étude Sav-AQ vise à comprendre les usages par des femmes atteintes d’un cancer du sein et le rôle des professionnels de santé. Il s’agit d’une étude mixte de faisabilité exploratoire, de type avant-après l’intégration dans le parcours… More >

  • Open Access

    ARTICLE

    A Lightweight ABE Security Protection Scheme in Cloud Environment Based on Attribute Weight

    Lihong Guo*, Jie Yang, Haitao Wu

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1929-1946, 2023, DOI:10.32604/cmc.2023.039170 - 30 August 2023

    Abstract Attribute-based encryption (ABE) is a technique used to encrypt data, it has the flexibility of access control, high security, and resistance to collusion attacks, and especially it is used in cloud security protection. However, a large number of bilinear mappings are used in ABE, and the calculation of bilinear pairing is time-consuming. So there is the problem of low efficiency. On the other hand, the decryption key is not uniquely associated with personal identification information, if the decryption key is maliciously sold, ABE is unable to achieve accountability for the user. In practical applications, shared… More >

  • Open Access

    PROCEEDINGS

    Understanding the Micromechanical Behaviors of Particle-Reinforced Al Composite by Nonlocal Crystal Plasticity Modeling

    Haiming Zhang1,2,*, Shilin Zhao1,2, Zhenshan Cui1,2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.08884

    Abstract Particle-reinforced aluminum matrix composites (PRAMCs) have great potential for application in aerospace, automobile, defense, and electronics due to their high specific strength and stiffness and good resistance to wear and corrosion. Achieving a superior trade-off between the strength and ductility of PRAMCs necessitates an elaborative control of the microstructures, like the size and distribution of particles, as well as grain size, morphology, and texture of the matrix. The multiscale interaction between the particles and the matrix’s microstructure is insufficiently understood due to the lagging of high-resolved in-situ characterization. This work proposes a nonlocal physically based… More >

  • Open Access

    PROCEEDINGS

    MPI Massive Parallelization of Smoothed Particle Hydrodynamics for Simulation of Impact and Explosion Problems

    Jiahao Liu1, Moubin Liu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.010056

    Abstract The dynamic failure process of structures under impact and explosive loading is very common in both military and industrial fields. However, the conventional mesh-based method has some shortcomings, such as large mesh distortion and sliding surface treatment. Some typical phenomena are difficult to be simulated. The smoothed particle hydrodynamics (SPH) method has natural advantages in treating large material deformations in impact and explosion problems [1]. To make the SPH method suitable for the impact and explosion problems, it is also improved by some treatments [2] to avoid inherent stress instability and unphysical oscillation. However, numerical… More >

  • Open Access

    ARTICLE

    How Do V2V and V2I Messages Affect the Performance of Driving Smart Vehicles?

    Abdullah Alsaleh1,2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2313-2336, 2023, DOI:10.32604/csse.2023.039682 - 28 July 2023

    Abstract Intelligent transportation systems (ITSs) are becoming increasingly popular as they support efficient coordinated transport. ITSs aim to improve the safety, efficiency and reliability of road transportation through integrated approaches to the exchange of relevant information. Mobile ad-hoc networks (MANETs) and vehicle ad-hoc networks (VANETs) are integral components of ITS. The VANET is composed of interconnected vehicles with sensitivity capabilities to exchange traffic, positioning, weather and emergency information. One of the main challenges in VANET is the reliable and timely dissemination of information between vehicular nodes to improve decision-making processes. This paper illustrates challenges in VANET… More >

  • Open Access

    ARTICLE

    Network Security Situation Prediction Based on TCAN-BiGRU Optimized by SSA and IQPSO

    Junfeng Sun1, Chenghai Li1, Yafei Song1,*, Peng Ni2, Jian Wang1

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 993-1021, 2023, DOI:10.32604/csse.2023.039215 - 26 May 2023

    Abstract The accuracy of historical situation values is required for traditional network security situation prediction (NSSP). There are discrepancies in the correlation and weighting of the various network security elements. To solve these problems, a combined prediction model based on the temporal convolution attention network (TCAN) and bi-directional gate recurrent unit (BiGRU) network is proposed, which is optimized by singular spectrum analysis (SSA) and improved quantum particle swarm optimization algorithm (IQPSO). This model first decomposes and reconstructs network security situation data into a series of subsequences by SSA to remove the noise from the data. Furthermore,… More >

  • Open Access

    ARTICLE

    SARS-CoV2 et cancer : quel impact psychologique ?
    Expérience du service d’oncologie médicale du centre hospitalier universitaire Hassan-II de Fès, Maroc

    L. Amaadour, I. Lahrch, O. Siyouri, K. Oualla, Z. Benbrahim, S. Arifi, C. Aarab, S. El Fakir, N. Mellas

    Psycho-Oncologie, Vol.17, No.1, pp. 38-43, 2023, DOI:10.3166/pson-2022-0221

    Abstract Introduction: La Covid-19 constitue une cause de plusieurs affections mentales, notamment chez les patients atteints de cancer qui sont déjà considérés comme une population vulnérable. Ainsi, l’objectif de la présente étude était d’évaluer les troubles psychologiques des patients suivis pour une maladie tumorale maligne, sous traitement médical systémique, ayant eu une infection au SARS-CoV2 ; ainsi que les conséquences que ces troubles psychologiques peuvent avoir sur l’adhésion aux soins oncologiques.
    Méthode: Il s’agit d’une étude transversale sur une période de quatre mois (pic de la pandémie) menée au département d’oncologie médicale du centre hospitalier universitaire Hassan-II de… More >

  • Open Access

    ARTICLE

    Experimental Study for the Cementation Effect of Dust Soil by Using Soybean Urease

    Jianwei Zhang1, Yue Yin1, Lei Shi1, Yi Han2, Mi Zhou3,*, Xihong Zhang4

    Journal of Renewable Materials, Vol.11, No.6, pp. 2893-2911, 2023, DOI:10.32604/jrm.2023.025436 - 10 April 2023

    Abstract Dust is an environmental and health hazard. In this study, a new technology for dust suppressant is introduced using soybean urease with an optimal cementing solution. Calcium carbonate is produced by soybean urease and cementing solution, which bonds the soil particles towards a dust suppressant. A laboratory wind tunnel test is carried out to examine its effectiveness and discover possible optimization solutions. Several factors, including soybean meal concentration, cementing solution concentration, and volume of solution per unit area, are examined to quantify their influences on soil transport mass, evaporation ratio, evaporation rate, surface strength, water… More >

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