Xiaoyun Yuan^1,2,3,*, Zhengge Yi^1,2, Jingxi Zhang^1,2, Hairui Zhang³

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.072275 - 23 July 2026

Abstract Website Fingerprinting (WF) has emerged as a promising technique for identifying user access patterns to Hidden Services (HS). Despite growing interest in WF for HS, the absence of well-established foundations and systematic guidelines for feature selection undercuts the robustness of WF techniques in the face of concept drift. To address this gap, we present an empirical study focusing on feature resilience under concept drift in WF for HS. Specifically, we categorize features into network-specific and network-agnostic groups and quantify their information leakage potential via mutual information. We further assess each feature’s resilience to concept drift More >

Chao Liu^1,2, Sihang Liu^3,#, Hao Chen^2,3,#, Tsai-Hsuan Tsai^4,5,6,*

International Journal of Mental Health Promotion, Vol.28, No.6, 2026, DOI:10.32604/ijmhp.2026.080509 - 23 June 2026

Abstract Backgrounds: Positive psychology has increasingly been applied to marginalized populations, yet limited attention has been paid to how it explains the experiences of sexual minorities living under persistent structural stigma in non-Western rural contexts. This study examined the structural pressures, psychological dilemmas, and positive resilience pathways of sexual minorities in rural China. This study aims to examine the structural pressures, psychological dilemmas, and pathways of positive resilience experienced by sexual minorities in rural China under persistent structural stigma. Methods: Using cyberethnography and grounded theory, this study analyzed 264 publicly available online narratives selected from an initial… More >

Marco Roccetti^*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.082258 - 27 May 2026

Abstract Geospatial health risk signals, characterized by associations with high magnitude statistical significance, may frequently originate from circumscribed observational data streams. When these signals are fueled by massive N-size datasets, the large dimensional scale of the sample can induce a misleading interpretation of local evidence as a statistically significant risk inflation. The objective of this study is to verify whether such health risk configurations constitute geospatial structural artifacts: namely, stochastic distortions generated by the spatial information of local health repositories that, despite their massive scale, may remain fundamentally distant from broader contextual realities. To this aim,… More >

Abdul Ghafoor^1,*, Muhammad Munir^2,*, Khalid Turk¹, Muhammad Tahir³, Umair Riaz⁴, Adnan Mustafa⁵

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.080990 - 27 May 2026

Abstract Agricultural systems increasingly face interacting abiotic and biotic stresses driven by climate change and soil degradation. Plant performance under such conditions is determined by coordinated networks of functional traits governing resource acquisition, allocation, and defense. These traits also structure plant-associated microbiomes, whose activities influence nutrient cycling, stress buffering, and disease suppression. This review synthesizes current evidence that agricultural nanomaterials enhance crop stress resilience primarily by reprogramming plant functional trait networks and, through them, modulating microbiome dynamics. We analyze how nanomaterial physicochemical properties including size, surface chemistry, dissolution behavior, and redox activity determine their bioavailability and… More >

Elizeu Monteiro Pereira Júnior, Lorena de Souza Cunha, Andreza Sousa Carmo, Ana Clara Lucarini, Ynglety Cascaes Pereira Matos, Allan Klynger da Silva Lobato, Elaine Maria Silva Guedes Lobato^*

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.072138 - 27 May 2026

Abstract Nickel (Ni) is an essential metallic micronutrient for optimal plant growth and development, regulator of essential metabolic processes, but its interaction with other essential nutrients can result in differences in the absorption of these nutrients, which can disrupt the ionic balance. The objective of this research was to evaluate the physiological performance and growth of soybean plants subjected to Ni levels applied via soil under Fe (iron) excess, determining the behavior of redox metabolism, gas exchange, and photosynthetic pigments. The experiment was conducted in a completely randomized design with a factorial 2 × 3, with… More >

Abdullah Alshammari^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078634 - 08 May 2026

Abstract The proliferation of Internet of Things (IoT) devices in the infrastructure of smart cities has posed cybersecurity risks like never before, which have direct implications on the sustainability and energy consumption of cities. In this paper, a multi-faceted Threat-Resilient Energy-Conscious Security Framework (TRECSF) is introduced that combines intrusion detection methods powered by deep learning, blockchain-driven data integrity verification mechanism, and energy-aware security protocols in smart city ecosystems to achieve their sustainability. The new Hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model is introduced to the proposed architecture, which fulfills the purpose of the study to… More >

Guangdong Zhou^1,2, Qing Zhang¹, Meishuo Yu^3,*

International Journal of Mental Health Promotion, Vol.28, No.4, 2026, DOI:10.32604/ijmhp.2026.076721 - 28 April 2026

Abstract Background: Adolescence is a critical period for mental health development, during which individuals may experience emotional challenges such as anxiety and depression. However, the patterns of how these symptoms develop and change over time in high school students, as well as the factors that influence these patterns, remain unclear. This study aims to identify distinct anxiety-depression symptom profiles and their transitions over time, while examining the roles of gender, subjective well-being, and psychological resilience in shaping these profiles. Methods: Two-wave longitudinal questionnaire data were collected from 913 high school students (57% female) in Shandong Province, China,… More >

Gangtao Han¹, Yurui Chen¹, Song Wang^1,*, Enqing Chen¹, Lingling Li², Gaofeng Pan³

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077768 - 09 April 2026

Abstract The integrity of perception data transmitted over in-vehicle networks is important for the safety of autonomous driving. However, legacy protocols like the Controller Area Network (CAN) bus which lacks essential security features make In-Vehicle Networks (IVNs) vulnerable to data tampering attacks. Current research typically focuses on detecting the attack itself but ignores the information recovery from the missing data, leading to an unsafe autonomous driving system. To address the issue, we propose a 3D object recovery framework to recover the missing data caused by the tampering attack that occurred in in-vehicle networks. The proposed framework… More >

Laura Lacomba-Trejo^1,*, Francisco González-Sala¹, Sandra Simó², Florencia Talmón-Knuser³

International Journal of Mental Health Promotion, Vol.28, No.3, 2026, DOI:10.32604/ijmhp.2026.077053 - 31 March 2026

Abstract Backgrounds: Somatization and eating-related problems in adolescents living in residential care may be shaped by the interplay of risk and protective factors, including gender, relational trauma, attachment patterns, emotional intelligence, and perceived social support. This study examined how gender, relational trauma, attachment dimensions, resilience, and emotional intelligence contribute to the presence of somatic and eating difficulties in this population. Methods: The sample included 46 adolescents (63% female; ages 12–17, Mean = 14.85, Standard Deviation (SD) = 1.49) residing in child protection institutions in Uruguay. Participants completed self-report measures assessing childhood relational trauma (CaMir), attachment dimensions (anxiety… More > Graphic Abstract

Peiying Zhang^1,2, Yihong Yu^1,2, Jia Luo^3,4,*, Nguyen Gia Ba⁵, Lizhuang Tan^6,7, Lei Shi⁸

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076690 - 12 March 2026

Abstract Next-Generation Networks (NGNs) demand high resilience, dynamic adaptability, and efficient resource utilization to enable ubiquitous connectivity. In this context, the Space-Air-Ground Integrated Network (SAGIN) architecture is uniquely positioned to meet these requirements. However, conventional NGN routing algorithms often fail to account for SAGIN’s intrinsic characteristics, such as its heterogeneous structure, dynamic topology, and constrained resources, leading to suboptimal performance under disruptions such as node failures or cyberattacks. To meet these demands for SAGIN, this study proposes a resilience-oriented routing optimization framework featuring dynamic weighting and multi-objective evaluation. Methodologically, we define three core routing performance metrics,… More >