Xiaobo Jiang, Hongchao Zheng^*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1695-1716, 2025, DOI:10.32604/sdhm.2025.063890 - 17 November 2025

Abstract Construction failures caused by unforeseen circumstances, such as natural disasters, environmental degradation, and structural weaknesses, present significant challenges in achieving durability, safety, and sustainability. This research addresses these challenges through the development of advanced emergency rescue systems incorporating wood-derived nanomaterials and IoT-enabled Structural Health Monitoring (SHM) technologies. The use of nanocellulose which demonstrates outstanding mechanical capabilities and biodegradability alongside high resilience allowed developers to design modular rescue systems that function effectively even under challenging conditions while providing real-time failure protection. Experimental data from testing showed that the replacement system strengthened load-bearing limits by 20% while… More >

Marta Reis^1,2,3,4,5,*, Catarina Noronha⁶, Gina Tomé^3,4,5, Marina Carvalho^4,6, Nuno Neto Rodrigues⁷, Margarida Gaspar de Matos^3,4,6

International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1457-1470, 2025, DOI:10.32604/ijmhp.2025.070318 - 31 October 2025

Abstract Objectives: Academic Evaluation Anxiety is a significant psychological concern among adolescents, with well-documented impacts on academic performance, emotional well-being, and school engagement. In Portugal, recent evidence suggests growing pressure on students to achieve high academic standards, with psychosocial variables such as resilience, perceived support, and school environment playing a crucial role. This study aims to examine the prevalence and psychosocial predictors of Academic Evaluation Anxiety in Portuguese students, and to identify risk and protective factors that inform educational practice. Methods: This cross-sectional, quantitative study analysed data from 3083 students (5th to 12th grade) from the… More >

Chuan-Chung Hsieh¹, Wei-Cheng Chien^1,2,*, Ting-Jung Chang¹

Journal of Psychology in Africa, Vol.35, No.5, pp. 599-607, 2025, DOI:10.32604/jpa.2025.066823 - 24 October 2025

Abstract This study examined how trait mindfulness relates to grit and resilience in students and whether flow mediates these links. The study sample comprised 432 gifted and talented music students (females = 275, mean age = 14.52, SD = 0.50). The students completed four measures assessing trait mindfulness, flow, grit, and resilience, each with established psychometric validity and reliability. The findings from structural equation modeling indicate trait mindfulness had substantial direct effects on flow, resilience, and grit among students. Flow had a significant mediating effect on the relationship between trait mindfulness and grit for enhanced grit. More >

Dingmeng Mao¹, Guannan Bai², Lin Yang^3,4,5, Jane Jie Yu^1,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1221-1235, 2025, DOI:10.32604/ijmhp.2025.069810 - 30 September 2025

Abstract Background: Physical inactivity among adolescents has become a global public health challenge, with over 80% failing to meet the recommendations of the WHO for activity levels. Existing research predominantly examines how physical activity (PA) enhances resilience, while the predictive role of resilience in PA, particularly its interaction with family factors, has received limited attention. This study aimed to examine the associations between resilience and PA among adolescents, focusing on family functioning and gender differences. Methods: In this cross-sectional study, a total of 909 Chinese adolescents (463 males and 446 females, aged 13.3 ± 0.5 years)… More >

Zesheng Xi^1,2,#, Chuan He^1,3,#, Yunfan Wang^1,3,#, Bo Zhang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2545-2565, 2025, DOI:10.32604/cmes.2025.066822 - 31 August 2025

Abstract The increasing reliance on interconnected Internet of Things (IoT) devices has amplified the demand for robust anonymization strategies to protect device identities and ensure secure communication. However, traditional anonymization methods for IoT networks often rely on static identity models, making them vulnerable to inference attacks through long-term observation. Moreover, these methods tend to sacrifice data availability to protect privacy, limiting their practicality in real-world applications. To overcome these limitations, we propose a dynamic device identity anonymization framework using Moving Target Defense (MTD) principles implemented via Software-Defined Networking (SDN). In our model, the SDN controller periodically… More >

Hitesh Mohapatra^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 221-247, 2025, DOI:10.32604/cmc.2025.068338 - 29 August 2025

Abstract Fault tolerance is essential for reliable and sustainable smart city infrastructure. Interconnected IoT systems must function under frequent faults, limited resources, and complex conditions. Existing research covers various fault-tolerant methods. However, current reviews often lack system-level critique and multidimensional analysis. This study provides a structured review of fault tolerance strategies across layered IoT architectures in smart cities. It evaluates fault detection, containment, and recovery techniques using specific metrics. These include fault visibility, propagation depth, containment score, and energy-resilience trade-offs. The analysis uses comparative tables, architecture-aware discussions, and conceptual plots. It investigates the impact of fault… More >

Junyi Wang^*

Journal of Psychology in Africa, Vol.35, No.4, pp. 549-555, 2025, DOI:10.32604/jpa.2025.070065 - 17 August 2025

Abstract The transition to university life presents unique challenges, increasing the risk of mental health issues among first-year students. This study evaluated the efficacy of an eight-week structured mental health education course in enhancing resilience among first-year college students and reducing their stress levels. Utilizing a cluster-randomized controlled trial, a total of 509 first-year students (age range 18–20 years) were allocated to either an intervention group receiving the mental health education course (n = 252), or a control group with no intervention (n = 257) over an 8 week period. They completed self-reported measures of resilience… More >

Adnan Amin, Wajid Zaman^*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 1973-1996, 2025, DOI:10.32604/phyton.2025.067885 - 31 July 2025

Abstract Plant-pathogen interactions involve complex biological processes that operate across molecular, cellular, microbiome, and ecological levels, significantly influencing plant health and agricultural productivity. In response to pathogenic threats, plants have developed sophisticated defense mechanisms, such as pattern-triggered immunity (PTI) and effector-triggered immunity (ETI), which rely on specialized recognition systems such as pattern recognition receptors (PRRs) and nucleotide-binding leucine-rich repeat (NLR) proteins. These immune responses activate intricate signaling pathways involving mitogen-activated protein kinase cascades, calcium fluxes, reactive oxygen species production, and hormonal cross-talk among salicylic acid, jasmonic acid, and ethylene. Furthermore, structural barriers such as callose deposition… More >

Kirubavathi G.^1,*, Arjun Pulliyasseri¹, Aswathi Rajesh¹, Amal Ajayan¹, Sultan Alfarhood^2,*, Mejdl Safran², Meshal Alfarhood², Jungpil Shin³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3005-3031, 2025, DOI:10.32604/cmes.2025.065698 - 30 June 2025

Abstract The exponential expansion of the Internet of Things (IoT), Industrial Internet of Things (IIoT), and Transportation Management of Things (TMoT) produces vast amounts of real-time streaming data. Ensuring system dependability, operational efficiency, and security depends on the identification of anomalies in these dynamic and resource-constrained systems. Due to their high computational requirements and inability to efficiently process continuous data streams, traditional anomaly detection techniques often fail in IoT systems. This work presents a resource-efficient adaptive anomaly detection model for real-time streaming data in IoT systems. Extensive experiments were carried out on multiple real-world datasets, achieving… More >

Zuhaib Nishtar^1,*, Fangzong Wang¹, Fawwad Hassan Jaskani², Hussain Afzaal³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2919-2956, 2025, DOI:10.32604/cmes.2025.065098 - 30 June 2025

Abstract This research aims to address the challenges of fault detection and isolation (FDI) in digital grids, focusing on improving the reliability and stability of power systems. Traditional fault detection techniques, such as rule-based fuzzy systems and conventional FDI methods, often struggle with the dynamic nature of modern grids, resulting in delays and inaccuracies in fault classification. To overcome these limitations, this study introduces a Hybrid Neuro-Fuzzy Fault Detection Model that combines the adaptive learning capabilities of neural networks with the reasoning strength of fuzzy logic. The model’s performance was evaluated through extensive simulations on the… More >