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  • Open Access

    ARTICLE

    Overall Assessment of Heat Transfer for a Rarefied Flow in a Microchannel with Obstacles Using Lattice Boltzmann Method

    Siham Hammid1, Khatir Naima2, Omolayo M. Ikumapayi3, Cheikh Kezrane1, Abdelkrim Liazid4, Jihad Asad5, Mokdad Hayawi Rahman6, Farhan Lafta Rashid7, Naseer Ali Hussien8, Younes Menni2,9,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 273-299, 2024, DOI:10.32604/cmes.2023.028951 - 22 September 2023

    Abstract The objective of this investigation is to assess the effect of obstacles on numerical heat transfer and fluid flow momentum in a rectangular microchannel (MC). Two distinct configurations were studied: one without obstacles and the other with alternating obstacles placed on the upper and lower walls. The research utilized the thermal lattice Boltzmann method (LBM), which solves the energy and momentum equations of fluids with the BGK approximation, implemented in a Python coding environment. Temperature jump and slip velocity conditions were utilized in the simulation for the MC and extended to all obstacle boundaries. The… More >

  • Open Access

    ARTICLE

    Machine Learning-Based Decision-Making Mechanism for Risk Assessment of Cardiovascular Disease

    Cheng Wang1, Haoran Zhu2,*, Congjun Rao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 691-718, 2024, DOI:10.32604/cmes.2023.029258 - 22 September 2023

    Abstract Cardiovascular disease (CVD) has gradually become one of the main causes of harm to the life and health of residents. Exploring the influencing factors and risk assessment methods of CVD has become a general trend. In this paper, a machine learning-based decision-making mechanism for risk assessment of CVD is designed. In this mechanism, the logistics regression analysis method and factor analysis model are used to select age, obesity degree, blood pressure, blood fat, blood sugar, smoking status, drinking status, and exercise status as the main pathogenic factors of CVD, and an index system of risk More >

  • Open Access

    REVIEW

    Regulating Empathy: Exploring the Process through Agents and Strategies

    Ke Jia, Xiuli Liu*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1265-1285, 2023, DOI:10.32604/ijmhp.2023.043430 - 29 December 2023

    Abstract Empathy is a complex emotional phenomenon that plays a crucial role in promoting cooperation and social cohesion within human society. However, there is ongoing debate regarding the mechanisms that underlie the generation of empathy. While the importance of biological emotional resonance in empathy is widely recognized, the influence of cognitive regulation on empathetic responses cannot be disregarded. This article seeks to review the agents and strategies involved in regulating empathy to construct a dynamic model depicting the process. The model highlights that the impact of specific goals on empathy regulation is not definitive; rather, it… More >

  • Open Access

    ARTICLE

    Numerical Assessments on Flow Topology and Heat Transfer Behavior in a Round Tube Inserted with Three Sets of V-Ribs

    Amnart Boonloi1, Withada Jedsadaratanachai2,*

    Frontiers in Heat and Mass Transfer, Vol.21, pp. 81-106, 2023, DOI:10.32604/fhmt.2023.041547 - 30 November 2023

    Abstract Simulation of fluid-flow topology and thermal behavior in a round tube heat exchanger (RTHX) installed by three V-rib sets is reported. The expected phenomena for the rib installation are the generated vortex flow, impinging flow, greater fluid blending and thermal boundary layer disturbance (TBLD). These phenomena are key causes of the augmentation of heat transfer potentiality and thermal efficiency of the RTHX. Effects of rib height (b1 = 0.05D – 0.25D and b2 = 0.05D – 0.25D), rib pitch or rib spacing (P = D, 1.5D and 2D) and fluid directions (positive x (+x flow direction)… More > Graphic Abstract

    Numerical Assessments on Flow Topology and Heat Transfer Behavior in a Round Tube Inserted with Three Sets of V-Ribs

  • Open Access

    ARTICLE

    Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method

    Wenshu Xu, Mingwei Lin*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 199-222, 2023, DOI:10.32604/cmc.2023.041475 - 31 October 2023

    Abstract Industrial control systems (ICSs) are widely used in various fields, and the information security problems of ICSs are increasingly serious. The existing evaluation methods fail to describe the uncertain evaluation information and group evaluation information of experts. Thus, this paper introduces the probabilistic linguistic term sets (PLTSs) to model the evaluation information of experts. Meanwhile, we propose a probabilistic linguistic multi-criteria decision-making (PL-MCDM) method to solve the information security assessment problem of ICSs. Firstly, we propose a novel subscript equivalence distance measure of PLTSs to improve the existing methods. Secondly, we use the Best Worst… More >

  • Open Access

    ARTICLE

    Parallel Integrated Model-Driven and Data-Driven Online Transient Stability Assessment Method for Power System

    Ying Zhang1, Xiaoqing Han2, Chao Zhang1, Ying Qu1, Yang Liu1, Gengwu Zhang2,*

    Energy Engineering, Vol.120, No.11, pp. 2585-2609, 2023, DOI:10.32604/ee.2023.026816 - 31 October 2023

    Abstract More and more uncertain factors in power systems and more and more complex operation modes of power systems put forward higher requirements for online transient stability assessment methods. The traditional model-driven methods have clear physical mechanisms and reliable evaluation results but the calculation process is time-consuming, while the data-driven methods have the strong fitting ability and fast calculation speed but the evaluation results lack interpretation. Therefore, it is a future development trend of transient stability assessment methods to combine these two kinds of methods. In this paper, the rate of change of the kinetic energy… More >

  • Open Access

    REVIEW

    Blockchain Security Threats and Collaborative Defense: A Literature Review

    Xiulai Li1,2,3,4, Jieren Cheng1,3,*, Zhaoxin Shi2,3, Jingxin Liu2,3, Bin Zhang1,3, Xinbing Xu2,3, Xiangyan Tang1,3, Victor S. Sheng5

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2597-2629, 2023, DOI:10.32604/cmc.2023.040596 - 08 October 2023

    Abstract As a distributed database, the system security of the blockchain is of great significance to prevent tampering, protect privacy, prevent double spending, and improve credibility. Due to the decentralized and trustless nature of blockchain, the security defense of the blockchain system has become one of the most important measures. This paper comprehensively reviews the research progress of blockchain security threats and collaborative defense, and we first introduce the overview, classification, and threat assessment process of blockchain security threats. Then, we investigate the research status of single-node defense technology and multi-node collaborative defense technology and summarize More >

  • Open Access

    ARTICLE

    Fang-Xia-Dihuang decoction inhibits breast cancer progression induced by psychological stress via down-regulation of PI3K/AKT and JAK2/STAT3 pathways: An in vivo and a network pharmacology assessment

    LINGYAN LV1,2,#, JING ZHAO1,2,#, XUAN WANG1,2, LIUYAN XU1,2, YINGYI FAN2, CHUNHUI WANG3, HONGQIAO FAN4,5,*, XIAOHUA PEI5,*

    BIOCELL, Vol.47, No.9, pp. 1977-1994, 2023, DOI:10.32604/biocell.2023.030742 - 28 September 2023

    Abstract Background: The development and prognosis of breast cancer are intricately linked to psychological stress. In addition, depression is the most common psychological comorbidity among breast cancer survivors, and reportedly, Fang-Xia-Dihuang decoction (FXDH) can effectively manage depression in such patients. However, its pharmacological and molecular mechanisms remain obscure. Methods: Public databases were used for obtaining active components and related targets. Main active components were further verified by ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS). Protein–protein interaction and enrichment analyses were taken to predict potential hub targets and related pathways. Molecule docking was used to understand the interactions… More >

  • Open Access

    ARTICLE

    A Novel IoT Architecture, Assessment of Threats and Their Classification with Machine Learning Solutions

    Oliva Debnath1, Saptarshi Debnath1, Sreyashi Karmakar2, MD Tausif Mallick3, Himadri Nath Saha4,*

    Journal on Internet of Things, Vol.5, pp. 13-43, 2023, DOI:10.32604/jiot.2023.039391 - 22 September 2023

    Abstract The Internet of Things (IoT) will significantly impact our social and economic lives in the near future. Many Internet of Things (IoT) applications aim to automate multiple tasks so inactive physical objects can behave independently of others. IoT devices, however, are also vulnerable, mostly because they lack the essential built-in security to thwart attackers. It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment. As a result, the IoT designs that are now in use do not completely support all of… More >

  • Open Access

    ARTICLE

    Assessment of Nanoparticle-Enriched Solvents for Oil Recovery Enhancement

    Muayad M. Hasan1,*, Firas K. Al-Zuhairi2, Anfal H. Sadeq1, Rana A. Azeez1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.11, pp. 2827-2835, 2023, DOI:10.32604/fdmp.2023.027746 - 18 September 2023

    Abstract Solvents are generally used to reduce the viscosity of heavy crude oil and ultimately enhance oil recovery. Recently, a new method has been introduced where nanoparticles (NPs) are exploited to induce enhanced oil recovery owing to their ability to improve the mobility ratio, dampen the interfacial tension, and alter rock wettability. This study investigated the integration of nano-alumina (Al2O3) NPs with an n-hexane solvent. In particular, a Brookfield viscometer has been used to measure the crude oil viscosity and it has been found that NPs can effectively lead to a significant decrease in the overall oil More >

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