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  • Open Access

    ARTICLE

    Mediating Effect of Mindfulness, Self-Esteem and Psychological Resilience in the Relation between Childhood Maltreatment and Life Satisfaction

    He Zhong1,*, Yaping Zhou2, Chenwei Liu3, Yintao Cao2

    International Journal of Mental Health Promotion, Vol.26, No.6, pp. 481-489, 2024, DOI:10.32604/ijmhp.2024.049408

    Abstract Childhood maltreatment, as a typical early adverse environment, is known to have a negative impact on one’s life satisfaction. Mindfulness, on the other hand, may serve as a protective factor. This study explored the mediating role of mindfulness and its related variables–positive thoughts, psychological resilience and self-esteem. In order to testify the mechanism, we administered Childhood Trauma Questionnaire (CTQ), Satisfaction with Life Scale (SWLS), Mindful Attention Awareness Scale (MAAS), Connor–Davidson Resilience Scale (CD-RISC) and Rosenberg Self-Esteem Scale (RSES) to a non-clinical sample of Chinese university students (N = 1021). The results indicated that positive thoughts More >

  • Open Access

    ARTICLE

    Enhancing Secure Development in Globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

    Marya Iqbal1, Yaser Hafeez1, Nabil Almashfi2, Amjad Alsirhani3, Faeiz Alserhani4, Sadia Ali1, Mamoona Humayun5,*, Muhammad Jamal6

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5031-5049, 2024, DOI:10.32604/cmc.2024.051371

    Abstract Embracing software product lines (SPLs) is pivotal in the dynamic landscape of contemporary software development. However, the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability, underscoring the critical importance of robust cybersecurity measures. This paper advocates for leveraging machine learning (ML) to address variability management issues and fortify the security of SPL. In the context of the broader special issue theme on innovative cybersecurity approaches, our proposed ML-based framework offers an interdisciplinary perspective, blending insights from computing, social sciences, and business. Specifically, it employs ML for demand analysis, More >

  • Open Access

    ARTICLE

    Numerical Exploration of Asymmetrical Impact Dynamics: Unveiling Nonlinearities in Collision Problems and Resilience of Reinforced Concrete Structures

    AL-Bukhaiti Khalil1, Yanhui Liu1,*, Shichun Zhao1, Daguang Han2

    Structural Durability & Health Monitoring, Vol.18, No.3, pp. 223-254, 2024, DOI:10.32604/sdhm.2024.044751

    Abstract This study provides a comprehensive analysis of collision and impact problems’ numerical solutions, focusing on geometric, contact, and material nonlinearities, all essential in solving large deformation problems during a collision. The initial discussion revolves around the stress and strain of large deformation during a collision, followed by explanations of the fundamental finite element solution method for addressing such issues. The hourglass mode’s control methods, such as single-point reduced integration and contact-collision algorithms are detailed and implemented within the finite element framework. The paper further investigates the dynamic response and failure modes of Reinforced Concrete (RC)… More >

  • Open Access

    ARTICLE

    An Intelligent Framework for Resilience Recovery of FANETs with Spatio-Temporal Aggregation and Multi-Head Attention Mechanism

    Zhijun Guo1, Yun Sun2,*, Ying Wang1, Chaoqi Fu3, Jilong Zhong4,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2375-2398, 2024, DOI:10.32604/cmc.2024.048112

    Abstract Due to the time-varying topology and possible disturbances in a conflict environment, it is still challenging to maintain the mission performance of flying Ad hoc networks (FANET), which limits the application of Unmanned Aerial Vehicle (UAV) swarms in harsh environments. This paper proposes an intelligent framework to quickly recover the cooperative coverage mission by aggregating the historical spatio-temporal network with the attention mechanism. The mission resilience metric is introduced in conjunction with connectivity and coverage status information to simplify the optimization model. A spatio-temporal node pooling method is proposed to ensure all node location features… More >

  • Open Access

    ARTICLE

    A Novel Defender-Attacker-Defender Model for Resilient Distributed Generator Planning with Network Reconfiguration and Demand Response

    Wenlu Ji*, Teng Tu, Nan Ma

    Energy Engineering, Vol.121, No.5, pp. 1223-1243, 2024, DOI:10.32604/ee.2024.046112

    Abstract To improve the resilience of a distribution system against extreme weather, a fuel-based distributed generator (DG) allocation model is proposed in this study. In this model, the DGs are placed at the planning stage. When an extreme event occurs, the controllable generators form temporary microgrids (MGs) to restore the load maximally. Simultaneously, a demand response program (DRP) mitigates the imbalance between the power supply and demand during extreme events. To cope with the fault uncertainty, a robust optimization (RO) method is applied to reduce the long-term investment and short-term operation costs. The optimization is formulated More >

  • Open Access

    REVIEW

    Plant Nitrogen Metabolism: Balancing Resilience to Nutritional Stress and Abiotic Challenges

    Muhammad Farhan1,#, Manda Sathish2, Rafia Kiran1, Aroosa Mushtaq3, Alaa Baazeem4, Ammarah Hasnain5, Fahad Hakim1, Syed Atif Hasan Naqvi1,#,*, Mustansar Mubeen6, Yasir Iftikhar6,*, Aqleem Abbas7, Muhammad Zeeshan Hassan1, Mahmoud Moustafa8

    Phyton-International Journal of Experimental Botany, Vol.93, No.3, pp. 581-609, 2024, DOI:10.32604/phyton.2024.046857

    Abstract

    Plant growth and resilience to abiotic stresses, such as soil salinity and drought, depend intricately on nitrogen metabolism. This review explores nitrogen’s regulatory role in plant responses to these challenges, unveiling a dynamic interplay between nitrogen availability and abiotic stress. In the context of soil salinity, a nuanced relationship emerges, featuring both antagonistic and synergistic interactions between salinity and nitrogen levels. Salinity-induced chlorophyll depletion in plants can be alleviated by optimal nitrogen supplementation; however, excessive nitrogen can exacerbate salinity stress. We delve into the complexities of this interaction and its agricultural implications. Nitrogen, a vital element

    More >

  • Open Access

    ARTICLE

    Resilience-Oriented Load Restoration Method and Repair Strategies for Regional Integrated Electricity-Natural Gas System

    Keqiang Wang1, Pengyang Zhao1, Changjian Wang2, Zimeng Zhang1, Yu Zhang1, Jia Lu1, Zedong Yang2,*

    Energy Engineering, Vol.121, No.4, pp. 1091-1108, 2024, DOI:10.32604/ee.2023.044016

    Abstract The rising frequency of extreme disaster events seriously threatens the safe and secure operation of the regional integrated electricity-natural gas system (RIENGS). With the growing level of coupling between electric and natural gas systems, it is critical to enhance the load restoration capability of both systems. This paper proposes a coordinated optimization strategy for resilience-enhanced RIENGS load restoration and repair scheduling and transforms it into a mixed integer second-order cone programming (MISOCP) model. The proposed model considers the distribution network reconfiguration and the coordinated repair strategy between the two systems, minimizing the total system load More >

  • Open Access

    ARTICLE

    Impact of Social Determinants of Health on Self-Perceived Resilience: An Exploratory Study of Two Cohorts of Adults with Congenital Heart Disease

    Albert Osom1, Krysta S. Barton2, Katie Sexton3,4, Lyndia Brumback1, Joyce P. Yi-Frazier4, Abby R. Rosenberg5,6, Ruth Engelberg7, Jill M. Steiner8,*

    Congenital Heart Disease, Vol.19, No.1, pp. 33-48, 2024, DOI:10.32604/chd.2024.046656

    Abstract Social determinants of health (SDOH) affect quality of life. We investigated SDOH impacts on self-perceived resilience among people with adult congenital heart disease (ACHD). Secondary analysis of data from two complementary studies: a survey study conducted May 2021–June 2022 and a qualitative study conducted June 2020–August 2021. Resilience was assessed through CD-RISC10 score (range 0–40, higher scores reflect greater self-perceived resilience) and interview responses. Sociodemographic and SDOH (education, employment, living situation, monetary stability, financial dependency, area deprivation index) data were collected by healthcare record review and self-report. We used linear regression with robust standard errors… More > Graphic Abstract

    Impact of Social Determinants of Health on Self-Perceived Resilience: An Exploratory Study of Two Cohorts of Adults with Congenital Heart Disease

  • Open Access

    ARTICLE

    Influence of Various Earth-Retaining Walls on the Dynamic Response Comparison Based on 3D Modeling

    Muhammad Akbar1, Huali Pan1,*, Jiangcheng Huang2, Bilal Ahmed3, Guoqiang Ou1

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.3, pp. 2835-2863, 2024, DOI:10.32604/cmes.2024.046993

    Abstract The present work aims to assess earthquake-induced earth-retaining (ER) wall displacement. This study is on the dynamics analysis of various earth-retaining wall designs in hollow precast concrete panels, reinforcement concrete facing panels, and gravity-type earth-retaining walls. The finite element (FE) simulations utilized a 3D plane strain condition to model full-scale ER walls and numerous nonlinear dynamics analyses. The seismic performance of different models, which includes reinforcement concrete panels and gravity-type and hollow precast concrete ER walls, was simulated and examined using the FE approach. It also displays comparative studies such as stress distribution, deflection of… More >

  • Open Access

    ARTICLE

    Enhancing IoT Security: Quantum-Level Resilience against Threats

    Hosam Alhakami*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 329-356, 2024, DOI:10.32604/cmc.2023.043439

    Abstract The rapid growth of the Internet of Things (IoT) operations has necessitated the incorporation of quantum computing technologies to meet its expanding needs. This integration is motivated by the need to solve the specific issues provided by the expansion of IoT and the potential benefits that quantum computing can offer in this scenario. The combination of IoT and quantum computing creates new privacy and security problems. This study examines the critical need to prevent potential security concerns from quantum computing in IoT applications. We investigate the incorporation of quantum computing approaches within IoT security frameworks,… More >

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