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  • Open Access

    ARTICLE

    Multiscale Simulation of Microstructure Evolution during Preparation and Service Processes of Physical Vapor Deposited c-TiAlN Coatings

    Yehao Long, Jing Zhong*, Tongdi Zhang, Li Chen, Lijun Zhang*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3435-3453, 2024, DOI:10.32604/cmc.2024.051629

    Abstract Physical Vapor Deposited (PVD) TiAlN coatings are extensively utilized as protective layers for cutting tools, renowned for their excellent comprehensive performance. To optimize quality control of TiAlN coatings for cutting tools, a multi-scale simulation approach is proposed that encompasses the microstructure evolution of coatings considering the entire preparation and service lifecycle of PVD TiAlN coatings. This scheme employs phase-field simulation to capture the essential microstructure of the PVD-prepared TiAlN coatings. Moreover, cutting simulation is used to determine the service temperature experienced during cutting processes at varying rates. Cahn-Hilliard modeling is finally utilized to consume the More >

  • Open Access

    ARTICLE

    Security Analysis in Smart Agriculture: Insights from a Cyber-Physical System Application

    Ahmed Redha Mahlous*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4781-4803, 2024, DOI:10.32604/cmc.2024.050821

    Abstract Smart agriculture modifies traditional farming practices, and offers innovative approaches to boost production and sustainability by leveraging contemporary technologies. In today’s world where technology is everything, these technologies are utilized to streamline regular tasks and procedures in agriculture, one of the largest and most significant industries in every nation. This research paper stands out from existing literature on smart agriculture security by providing a comprehensive analysis and examination of security issues within smart agriculture systems. Divided into three main sections—security analysis, system architecture and design and risk assessment of Cyber-Physical Systems (CPS) applications—the study delves… More >

  • Open Access

    ARTICLE

    Thermo-Physical Potential of Recycled Banana Fibers for Improving the Thermal and Mechanical Properties of Biosourced Gypsum-Based Materials

    Youssef Maaloufa1,2,3,*, Soumia Mounir1,2,3, Sara Ibnelhaj2, Fatima Zohra El Wardi6, Asma Souidi3, Yakubu Aminu Dodo4,5, Malika Atigui3, Mina Amazal3, Abelhamid Khabbazi2, Hassan Demrati3, Ahmed Aharoune3

    Journal of Renewable Materials, Vol.12, No.4, pp. 843-867, 2024, DOI:10.32604/jrm.2024.049942

    Abstract The development of bio-sourced materials is essential to ensuring sustainable construction; it is considered a locomotive of the green economy. Furthermore, it is an abundant material in our country, to which very little attention is being given. This work aims to valorize the waste of the trunks of banana trees to be used in construction. Firstly, the physicochemical properties of the fiber, such as the percentage of crystallization and its morphology, have been determined by X-ray diffraction tests and scanning electron microscopy to confirm the potential and the impact of the mode of drying on… More >

  • Open Access

    ARTICLE

    Association between Meeting 24-Hour Movement Guidelines and Psychological Features of Chinese Emerging Adults

    Yanjie Zhang1,2, Jin Kuang3, Xun Luo1,2, Mengxian Zhao4, Xiaolei Liu5,*

    International Journal of Mental Health Promotion, Vol.26, No.5, pp. 399-406, 2024, DOI:10.32604/ijmhp.2024.048925

    Abstract Background: Emerging adulthood is a pivotal life stage, presenting significant psychological and social changes, such as decreased sociability, depression, and other mental health problems. Previous studies have associated these changes with an unhealthy lifestyle. The 24-h movement guidelines for healthy lifestyles have been developed to promote appropriate health behaviors and improve individual wellness. However, the relationship between adherence to the 24-h movement guidelines and different characteristics of Chinese emerging adults is yet to be explored. This cross-sectional study aimed to investigate the association between adherence to the 24-h movement guidelines and four characteristics (self-exploration, instability, possibilities,… More >

  • Open Access

    ARTICLE

    Adaptive Network Sustainability and Defense Based on Artificial Bees Colony Optimization Algorithm for Nature Inspired Cyber Security

    Chirag Ganguli1, Shishir Kumar Shandilya2, Michal Gregus3, Oleh Basystiuk4,*

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 739-758, 2024, DOI:10.32604/csse.2024.042607

    Abstract Cyber Defense is becoming a major issue for every organization to keep business continuity intact. The presented paper explores the effectiveness of a meta-heuristic optimization algorithm-Artificial Bees Colony Algorithm (ABC) as an Nature Inspired Cyber Security mechanism to achieve adaptive defense. It experiments on the Denial-Of-Service attack scenarios which involves limiting the traffic flow for each node. Businesses today have adapted their service distribution models to include the use of the Internet, allowing them to effectively manage and interact with their customer data. This shift has created an increased reliance on online services to store… More >

  • Open Access

    ARTICLE

    Combined CNN-LSTM Deep Learning Algorithms for Recognizing Human Physical Activities in Large and Distributed Manners: A Recommendation System

    Ameni Ellouze1, Nesrine Kadri2, Alaa Alaerjan3,*, Mohamed Ksantini1

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 351-372, 2024, DOI:10.32604/cmc.2024.048061

    Abstract Recognizing human activity (HAR) from data in a smartphone sensor plays an important role in the field of health to prevent chronic diseases. Daily and weekly physical activities are recorded on the smartphone and tell the user whether he is moving well or not. Typically, smartphones and their associated sensing devices operate in distributed and unstable environments. Therefore, collecting their data and extracting useful information is a significant challenge. In this context, the aim of this paper is twofold: The first is to analyze human behavior based on the recognition of physical activities. Using the… More >

  • Open Access

    ARTICLE

    Uncertainty-Aware Physical Simulation of Neural Radiance Fields for Fluids

    Haojie Lian1, Jiaqi Wang1, Leilei Chen2,*, Shengze Li3, Ruochen Cao4, Qingyuan Hu5, Peiyun Zhao1

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1143-1163, 2024, DOI:10.32604/cmes.2024.048549

    Abstract This paper presents a novel framework aimed at quantifying uncertainties associated with the 3D reconstruction of smoke from 2D images. This approach reconstructs color and density fields from 2D images using Neural Radiance Field (NeRF) and improves image quality using frequency regularization. The NeRF model is obtained via joint training of multiple artificial neural networks, whereby the expectation and standard deviation of density fields and RGB values can be evaluated for each pixel. In addition, customized physics-informed neural network (PINN) with residual blocks and two-layer activation functions are utilized to input the density fields of More >

  • Open Access

    ARTICLE

    Bio-Based Rigid Polyurethane Foams for Cryogenic Insulation

    Laima Vevere*, Beatrise Sture, Vladimir Yakushin, Mikelis Kirpluks, Ugis Cabulis

    Journal of Renewable Materials, Vol.12, No.3, pp. 585-602, 2024, DOI:10.32604/jrm.2024.047350

    Abstract Cryogenic insulation material rigid polyurethane (PU) foams were developed using bio-based and recycled feedstock. Polyols obtained from tall oil fatty acids produced as a side stream of wood biomass pulping and recycled polyethylene terephthalate were used to develop rigid PU foam formulations. The 4th generation physical blowing agents with low global warming potential and low ozone depletion potential were used to develop rigid PU foam cryogenic insulation with excellent mechanical and thermal properties. Obtained rigid PU foams had a thermal conductivity coefficient as low as 0.0171 W/m·K and an apparent density of 37–40 kg/m3. The developed… More > Graphic Abstract

    Bio-Based Rigid Polyurethane Foams for Cryogenic Insulation

  • Open Access

    ARTICLE

    Can Physical Activities Suppress Negative Impact of Stress on the Mental Health of Adolescents?

    Tena Velki*

    International Journal of Mental Health Promotion, Vol.26, No.3, pp. 211-219, 2024, DOI:10.32604/ijmhp.2024.047950

    Abstract Early adolescence is a crucial developmental phase marked by significant physical, cognitive, and socioemotional changes. While stress is widely recognized as a notable risk factor during this period, not all individuals experiencing stress concurrently manifest compromised mental health. The association between stress and mental health outcomes is influenced by individual differences in characteristics and coping strategies. This study’s purpose was to assess the negative impact of stress on mental health, specifically focusing on symptoms of anxiety, depression, and psychological distress. Additionally, the research investigates whether different levels of physical activity can suppress the negative effects… More >

  • Open Access

    ARTICLE

    Synthesis of Functional Photoactive Polysilane Copolymers with Disperse Yellow 7 Methacrylate and Study of their Optical, Photophysical and Thermal Properties

    KM. MEENU, DIBYENDU S. BAG*, REKHA LAGARKHAa

    Journal of Polymer Materials, Vol.36, No.3, pp. 275-292, 2019, DOI:10.32381/JPM.2019.36.03.7

    Abstract Functional photoactive polysilane copolymers of poly(methylphenylsilane) (PMPS) and disperse yellow 7 methacrylate (DY7MA) were synthesized using UV-technique. In the same manner functional polysilane copolymers of poly(methylphenylsilane-co-dimethylsilane) (CPS) and disperse yellow 7 methacrylate (DY7MA) were also synthesized. By the UV irradiation polysilanes (PMPS and CPS) give rise to silyl macroradicals which initiate the polymerization of photoactive monomer (DY7MA). The synthesized samples were characterized by FTIR, NMR, and UV-Vis spectroscopy. The molar mass of synthesized photoactive functional polysilane copolymers is of order of 103 gm/mol. They exhibited multimodal optical and photoluminescence functional properties. Optical absorbance was observed… More >

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