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  • Open Access

    REVIEW

    Curtain Wall Systems as Climate-Adaptive Energy Infrastructures: A Critical Review of Their Role in Sustainable Building Performance

    Samira Rastbod1, Mehdi Jahangiri2,*, Behrang Moradi1, Haleh Nazari1

    Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.070089 - 27 December 2025

    Abstract Curtain wall systems have evolved from aesthetic façade elements into multifunctional building envelopes that actively contribute to energy efficiency and climate responsiveness. This review presents a comprehensive examination of curtain walls from an energy-engineering perspective, highlighting their structural typologies (Stick and Unitized), material configurations, and integration with smart technologies such as electrochromic glazing, parametric design algorithms, and Building Management Systems (BMS). The study explores the thermal, acoustic, and solar performance of curtain walls across various climatic zones, supported by comparative analyses and iconic case studies including Apple Park, Burj Khalifa, and Milad Tower. Key challenges—including… More > Graphic Abstract

    Curtain Wall Systems as Climate-Adaptive Energy Infrastructures: A Critical Review of Their Role in Sustainable Building Performance

  • Open Access

    ARTICLE

    A Micromechanics-Based Softening Hyperelastic Model for Granular Materials: Multiscale Insights into Strain Localization and Softening

    Chenxi Xiu1,2,*, Xihua Chu2, Ao Mei1, Liangfei Gong1

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-39, 2026, DOI:10.32604/cmc.2025.073193 - 09 December 2025

    Abstract Granular materials exhibit complex macroscopic mechanical behaviors closely related to their micro-scale microstructural features. Traditional macroscopic phenomenological elasto-plastic models, however, usually have complex formulations and lack explicit relations to these microstructural features. To avoid these limitations, this study proposes a micromechanics-based softening hyperelastic model for granular materials, integrating softening hyperelasticity with microstructural insights to capture strain softening, critical state, and strain localization behaviors. The model has two key advantages: (1) a clear conceptualization, straightforward formulation, and ease of numerical implementation (via Abaqus UMAT subroutine in this study); (2) explicit incorporation of micro-scale features (e.g., contact… More >

  • Open Access

    ARTICLE

    Dynamic Adaptive Weighting of Effectiveness Assessment Indicators: Integrating G1, CRITIC and PIVW

    Longyue Li1, Guoqing Zhang1, Bo Cao1, Shuqi Wang2, Ye Tian1,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-26, 2026, DOI:10.32604/cmc.2025.070622 - 09 December 2025

    Abstract Modern battlefields exhibit high dynamism, where traditional static weighting methods in combat effectiveness assessment fail to capture real-time changes in indicator values, leading to limited assessment accuracy—especially critical in scenarios like sudden electronic warfare or degraded command, where static weights cannot reflect the operational value decay or surge of key indicators. To address this issue, this study proposes a dynamic adaptive weighting method for evaluation indicators based on G1-CRITIC-PIVW. First, the G1 (Sequential Relationship Analysis Method) subjective weighting method—translates expert knowledge into indicator importance rankings—leverages expert knowledge to quantify the relative importance of indicators via… More >

  • Open Access

    REVIEW

    Attribute-Based Encryption for IoT Environments—A Critical Survey

    Daskshnamoorthy Manivannan*

    Journal on Internet of Things, Vol.7, pp. 71-97, 2025, DOI:10.32604/jiot.2025.072809 - 24 December 2025

    Abstract Attribute-Based Encryption (ABE) secures data by tying decryption rights to user attributes instead of identities, enabling fine-grained access control. However, many ABE schemes are unsuitable for Internet of Things (IoT) due to limited device resources. This paper critically surveys ABE schemes developed specifically for IoT over the past decade, examining their evolution, strengths, limitations, and access control capabilities. It provides insights into their security, effectiveness, and real-world applicability, highlights the current state of ABE in securing IoT data and access, and discusses remaining challenges and open issues. More >

  • Open Access

    ARTICLE

    Determining Dynamic Influence of Human and Machine System on Live-Streaming Addiction: Critical Mediating Mechanisms of Emotional and Functional Attachment

    Hua Pang*, Xiaoyi Jin

    International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1709-1728, 2025, DOI:10.32604/ijmhp.2025.070803 - 28 November 2025

    Abstract Background: Live streaming has become a globally prevalent form of digital entertainment, particularly among young audiences, fostering new modes of online engagement through real-time interaction. However, excessive use may lead to addictive behaviors in certain users. Current research on live-streaming addiction remains limited, with prior studies focusing primarily on socio-psychological drivers rather than the role of technological affordances. To address this gap, this study develops a conceptual model based on socio-technical systems and attachment theory to investigate how emotional and functional attachment mediate the relationship between platform features and addictive behavior. Methods: A total of 533… More >

  • Open Access

    ARTICLE

    Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy

    Ehsan Akbari1, Tajbakhsh Navid Chakherlou1, Hamed Tabrizchi2,3,*, Amir Mosavi3,4,5,6

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 305-325, 2025, DOI:10.32604/cmes.2025.068581 - 30 October 2025

    Abstract The ability to predict multiaxial fatigue life of Al-Alloy 7075-T6 under complex loading conditions is critical to assessing its durability under complex loading conditions, particularly in aerospace, automotive, and structural applications. This paper presents a physical-informed neural network (PINN) model to predict the fatigue life of Al-Alloy 7075-T6 over a variety of multiaxial stresses. The model integrates the principles of the Geometric Multiaxial Fatigue Life (GMFL) approach, which is a novel fatigue life prediction approach to estimating fatigue life by combining multiple fatigue criteria. The proposed model aims to estimate fatigue damage accumulation by the More >

  • Open Access

    ARTICLE

    A Security Operation and Event Management (SOEM) Platform for Critical Infrastructures Protection

    Roberto Caviglia1, Daniyar Aliaskharov2, Alessio Aceti1, Mila Dalla Preda3, Paola Girdinio2, Giovanni Battista Gaggero2,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5327-5340, 2025, DOI:10.32604/cmc.2025.068509 - 23 October 2025

    Abstract Industrial Control Systems (ICS) in Operational Technology (OT) environments face unique cybersecurity challenges due to legacy systems, critical operational needs, and incompatibility with standard IT security practices. To address these challenges, this paper presents the Security Operation and Event Management (SOEM) platform, a software designed to support Security Operations Centers (SOCs) in reaching full visibility of OT environments. SOEM integrates diverse log sources and intrusion detection systems, including logs generated by the control system itself and additional on-the-shelf products, to enhance situational awareness and enable rapid incident response. The pilot project was carried out within More >

  • Open Access

    ARTICLE

    Deep Auto-Encoder Based Intelligent and Secure Time Synchronization Protocol (iSTSP) for Security-Critical Time-Sensitive WSNs

    Ramadan Abdul-Rashid1, Mohd Amiruddin Abd Rahman1,*, Abdulaziz Yagoub Barnawi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3213-3250, 2025, DOI:10.32604/cmes.2025.066589 - 30 September 2025

    Abstract Accurate time synchronization is fundamental to the correct and efficient operation of Wireless Sensor Networks (WSNs), especially in security-critical, time-sensitive applications. However, most existing protocols degrade substantially under malicious interference. We introduce iSTSP, an Intelligent and Secure Time Synchronization Protocol that implements a four-stage defense pipeline to ensure robust, precise synchronization even in hostile environments: (1) trust preprocessing that filters node participation using behavioral trust scoring; (2) anomaly isolation employing a lightweight autoencoder to detect and excise malicious nodes in real time; (3) reliability-weighted consensus that prioritizes high-trust nodes during time aggregation; and (4) convergence-optimized synchronization… More >

  • Open Access

    ARTICLE

    Experimental Investigation of Fracture Propagation Induced by Supercritical CO2 in Deep Shale Reservoirs

    Taizhi Shen1, Gang Chen1, Jiang Bai1, Dan Zhang2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1917-1934, 2025, DOI:10.32604/fdmp.2025.067114 - 12 September 2025

    Abstract Deep shale reservoirs are often associated with extreme geological conditions, including high temperatures, substantial horizontal stress differences, elevated closure stresses, and high breakdown pressures. These factors pose significant challenges to conventional hydraulic fracturing with water-based fluids, which may induce formation damage and fail to generate complex fracture networks. Supercritical carbon dioxide (SC-CO2), with its low viscosity, high diffusivity, low surface tension, and minimal water sensitivity, has attracted growing attention as an alternative fracturing fluid for deep shale stimulation. This study presents a series of true triaxial large-scale physical experiments using shale samples from the Longmaxi Formation More >

  • Open Access

    ARTICLE

    Performance Analysis of sCO2 Centrifugal Compressor under Variable Operating Conditions

    Jiangbo Wu1, Siyi Sun1, Xiaoze Du1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1789-1807, 2025, DOI:10.32604/fdmp.2025.064254 - 12 September 2025

    Abstract This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide (sCO2) centrifugal compressors under varying operating conditions. In particular, the Sandia main compressor impeller model is used as a reference system. Through three-dimensional numerical simulations, we examine the Mach number distribution, temperature field, blade pressure pulsation spectra, and velocity field evolution, and identify accordingly the operating boundaries ensuring stability and the mechanisms responsible for performance degradation. Findings indicate a stable operating range for mass flow rate between 0.74 and 3.74 kg/s. At the lower limit (0.74 kg/s), the maximum Mach number within… More >

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