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  • Open Access

    ARTICLE

    Who Benefits More from Physical Exercise? On the Relations between Personality, Physical Exercise, and Well-Being

    Jialing Miao1, Wei Liao2,*, Baoguo Xie3

    International Journal of Mental Health Promotion, Vol., , DOI:10.32604/ijmhp.2023.030671

    Abstract Although employers believe that encouraging and supporting physical exercise activities by purchasing fitness equipment and building sports venues can improve employees’ well-being, the utilization rate is rather low. Since most of the evidence of the well-being promotion in the workplace concentrated on the perspectives of organizational factors and psychosocial factors and focused on the reduction of the negative affect of well-being, it is still an open question whether physical exercise has benefits on both negative and positive affect of wellbeing and who benefits more from physical exercise. Thus, the purpose of this study is to investigate the impact of physical… More >

  • Open Access

    ARTICLE

    Impact of a Magnetic Dipole on Heat Transfer in Non-Conducting Magnetic Fluid Flow over a Stretching Cylinder

    Anupam Bhandari*

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2023.041618

    Abstract The thermal behavior of an electrically non-conducting magnetic liquid flowing over a stretching cylinder under the influence of a magnetic dipole is considered. The governing nonlinear differential equations are solved numerically using a finite element approach, which is properly validated through comparison with earlier results available in the literature. The results for the velocity and temperature fields are provided for different values of the Reynolds number, ferromagnetic response number, Prandtl number, and viscous dissipation parameter. The influence of some physical parameters on skin friction and heat transfer on the walls of the cylinder is also investigated. The applicability of this… More >

  • Open Access

    ARTICLE

    Jet Characteristics and Optimization of a Cavitation Nozzle for Hydraulic Fracturing Applications

    Yu Gao1, Zhenqiang Xu2,3,*, Kaixiang Shen2,3,*

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2023.030499

    Abstract Hydraulic jetting is a form of fracturing that involves using a high-pressure jet of water to create fractures in the reservoir rock with a nozzle serving as the central component of the hydraulic sandblasting perforation tool. In this study, the flow behavior of the nozzle is simulated numerically in the framework of a SST k-ω turbulence model. The results show that the nozzle structure can significantly influence the jet performance and related cavitation effect. Through orthogonal experiments, the nozzle geometric parameters are optimized, and the following configuration is found accordingly: contraction angle 20°, contraction segment length 6 mm, cylindrical segment… More >

  • Open Access

    ARTICLE

    A CFD Model to Evaluate Near-Surface Oil Spill from a Broken Loading Pipe in Shallow Coastal Waters

    Portia Felix1, Lee Leon1,*, Derek Gay1, Stefano Salon2, Hazi Azamathulla1

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2023.028031

    Abstract Oil spills continue to generate various issues and concerns regarding their effect and behavior in the marine environment, owing to the related potential for detrimental environmental, economic and social implications. It is essential to have a solid understanding of the ways in which oil interacts with the water and the coastal ecosystems that are located nearby. This study proposes a simplified model for predicting the plume-like transport behavior of heavy Bunker C fuel oil discharging downward from an acutely-angled broken pipeline located on the water surface. The results show that the spill overall profile is articulated in three major flow… More >

  • Open Access

    ARTICLE

    Revolutionizing Tight Reservoir Production: A Novel Dual-Medium Unsteady Seepage Model for Optimizing Volumetrically Fractured Horizontal Wells

    Xinyu Zhao1,2,*, Mofeng Li2, Kai Yan2, Li Yin3

    Energy Engineering, Vol., , DOI:10.32604/ee.2023.041580

    Abstract This study presents an avant-garde approach for predicting and optimizing production in tight reservoirs, employing a dual-medium unsteady seepage model specifically fashioned for volumetrically fractured horizontal wells. Traditional models often fail to fully capture the complex dynamics associated with these unconventional reservoirs. In a significant departure from these models, our approach incorporates an initiation pressure gradient and a discrete fracture seepage network, providing a more realistic representation of the seepage process. The model also integrates an enhanced fluid-solid interaction, which allows for a more comprehensive understanding of the fluid-structure interactions in the reservoir. This is achieved through the incorporation of… More >

  • Open Access

    ARTICLE

    An Optimized System of Random Forest Model by Global Harmony Search with Generalized Opposition-Based Learning for Forecasting TBM Advance Rate

    Yingui Qiu1, Shuai Huang1, Danial Jahed Armaghani2, Biswajeet Pradhan3, Annan Zhou4, Jian Zhou1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.029938

    Abstract As massive underground projects have become popular in dense urban cities, a problem has arisen: which model predicts the best for Tunnel Boring Machine (TBM) performance in these tunneling projects? However, performance level of TBMs in complex geological conditions is still a great challenge for practitioners and researchers. On the other hand, a reliable and accurate prediction of TBM performance is essential to planning an applicable tunnel construction schedule. The performance of TBM is very diffcult to estimate due to various geotechnical and geological factors and machine specifications. The previously-proposed intelligent techniques in this field are mostly based on a… More >

  • Open Access

    ARTICLE

    Linguistic Knowledge Representation in DPoS Consensus Scheme for Blockchain

    Yixia Chen1,2, Mingwei Lin1,2,*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.040970

    Abstract The consensus scheme is an essential component in the real blockchain environment. The Delegated Proof of Stake (DPoS) is a competitive consensus scheme that can decrease energy costs, promote decentralization, and increase eciency, respectively. However, how to study the knowledge representation of the collective voting information and then select delegates is a new open problem. To ensure the fairness and eectiveness of transactions in the blockchain, in this paper, we propose a novel More >

  • Open Access

    ARTICLE

    A Machine Learning-Based Attack Detection and Prevention System in Vehicular Named Data Networking

    Arif Hussain Magsi1,*, Ali Ghulam2, Saifullah Memon1, Khalid Javeed3, Musaed Alhussein4, Imad Rida5

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.040290

    Abstract Named Data Networking (NDN) is gaining a significant attention in Vehicular Ad-hoc Networks (VANET) due to its in-network content caching, name-based routing, and mobility-supporting characteristics. Nevertheless, existing NDN faces three significant challenges, including security, privacy, and routing. In particular, security attacks, such as Content Poisoning Attacks (CPA), can jeopardize legitimate vehicles with malicious content. For instance, attacker host vehicles can serve consumers with invalid information, which has dire consequences, including road accidents. In such a situation, trust in the content-providing vehicles brings a new challenge. On the other hand, ensuring privacy and preventing unauthorized access in vehicular (VNDN) is another… More >

  • Open Access

    ARTICLE

    Cross-Linking of Sago Starch with Furan and Bismaleimide via the Diels-Alder Reaction

    Henky Muljana*, Ivana Hasjem, Merianawati Sinatra, Dicky Joshua Pesireron, Michael Wilbert Puradisastra, Ryan Hartono, Kevin Yovan Hermanto, Tony Handoko

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.031261

    Abstract This research paper describes the synthesis of thermo-reversible cross-linking of sago starch by grafting a furan pendant group (methyl 2-furoate) onto the starch backbone, followed by a Diels-Alder (DA) reaction of the furan functional group with 1,1′-(methylenedi-4,1-phenylene) bismaleimide (BM). The proof of principles was provided by FTIR and 1H-NMR analyses. The relevant FTIR peaks are the carbonyl peak (υ C=O sym) at 1721 cm−1 ; the two peaks appeared after DA cross-linking, i.e., at 1510 cm−1 (corresponding to υ CH=CH BM aromatic rings, stretching vibrations), and at 1173 cm−1 (assigned to cycloadduct (C-O-C, δ DA ring)) while the 1H-NMR result… More >

  • Open Access

    ARTICLE

    Numerical Investigations of Laminar Air Flow and Heat Transfer Characteristics in a Square Channel Inserted with Discrete X-V Baffles (XVB)

    Amnart Boonloi1, Withada Jedsadaratanachai2,*

    Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2023.044929

    Abstract Thermal performance enhancement in a square channel heat exchanger (HX) using a passive technique is presented. Vortex turbulator insertion in a square channel HX as a passive technique is selected for thermal improvement. The vortex turbulator of interest is discrete X-V baffles (XVB). The discrete XVBs are inserted in the square channel with the main aim to generate vortex flow. The vortex flow generated can support to enhance convective heat transfer coefficient and also enhance HX performance. Effects of baffle configuration (type A and B), baffle size (w/H = 0.05, 0.10, 0.15 and 0.20), baffle distance (e/H = 1, 1.5… More >

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