Benedict Djouboussi^1,*, Elie Fute Tagne^1,2

Journal of Cyber Security, Vol.8, pp. 171-187, 2026, DOI:10.32604/jcs.2026.079617 - 15 April 2026

Abstract The Distributed Network Protocol 3 (DNP3) is widely deployed in SCADA-based microgrids; however, it was not originally designed to meet the cybersecurity requirements of modern decentralized energy infrastructures. Although DNP3 Secure Authentication (DNP3-SA) introduces HMAC-based session-level protection, it does not ensure fragment-level integrity, leaving the protocol vulnerable to fragmentation disruption, replay attacks, and sequence manipulation. Such vulnerabilities can cause desynchronization between master and outstation devices, compromising the operational reliability of distributed energy resources. This paper proposes DNP3Chain, a blockchain-enabled framework that provides real-time fragment-level validation and enforces end-to-end message integrity in DNP3 communications. An OpenDNP3-based… More >

Sathish Rao Udupi, Gururaj Bolar, Manjunath Shettar^*, Ashwini Bhat

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.078574 - 09 April 2026

Abstract Glass fiber-reinforced polymer composites (GFRPCs) are extensively utilized in the aerospace, automotive, and structural sectors; nevertheless, their heterogeneous and abrasive characteristics result in rapid tool wear during drilling. Drill flank wear among various wear mechanisms notably influences hole quality and dimensional accuracy. This research investigates the impact of spindle speed, feed rate, and drill diameter on flank wear during dry drilling of GFRPC laminates with high-speed steel (HSS) twist drills. A full-factorial design with 81 experiments is used to create a comprehensive dataset. ANOVA indicates that spindle speed is the dominant factor affecting wear changes,… More >

Hatim Madkhali^1,2,*, Abdullah Sheneamer², Linh Nguyen³, Gnana Bharathy¹, Ritu Chauhan⁴, Mukesh Prasad^1,*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.074444 - 09 April 2026

Abstract Consumer electronics, with 62 million tons of electronic waste (e-waste) generated in 2022 and e-waste expected to grow to 82 million tons annually by 2030, pose critical challenges when it comes to national infrastructure and circular economy policies. This paper compares forecasting approaches using sparse panel data for 32 European countries (2005–2018, Eurostat/Waste Electrical and Electronic Equipment (WEEE) Directive), focusing on leakage-safe prospective validation to guarantee true predictive performance. We make one-step-ahead predictions with conservative features (primarily lagged values) to account for temporal autocorrelation but with reduced multicollinearity (Variance Inflation Factor (VIF) ≈ 1.0). Cross-paradigm comparisons… More >

Giada Faraco^*, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro^*, Arcangelo Messina

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075327 - 31 March 2026

Abstract Damage detection and localization analysis have gained increasing importance over the years, due to the growing number of catastrophic events and the associated risks that small, undetected cracks in structures may evolve into severe failures if not identified in time. In this context, vibration-based methods have been extensively investigated for structural damage detection. Among them, one of the most widely used approaches since its introduction is the curvature method. It has been successfully employed in numerous studies, consistently providing reliable results. However, the use of second-order or higher-order derivatives can be challenging when dealing with… More >

Kai Tang¹, Shengxing Lu¹, Cuie He², Ruozeng Rong^1,*

BIOCELL, Vol.50, No.3, 2026, DOI:10.32604/biocell.2026.072154 - 23 March 2026

Abstract Objectives: Prostate cancer (PCa) is a highly prevalent male malignancy with limited efficacy in advanced stages. Dysregulated modulation of necroptosis was reported to be tightly correlated with PCa initiation and progression. Herein, we aimed to identify necroptosis-associated long non-coding RNAs (lncRNAs) and delineate their functional roles in PCa through an integrated approach combining bioinformatic analyses and in vitro experimental validation. Methods: RNA sequencing data and corresponding clinical information of PCa were downloaded from The Cancer Genome Atlas (TCGA). Differentially expressed necroptosis-related genes (NRGs) and lncRNAs were screened, and necroptosis activity was assessed by single-sample gene set… More >

Hui Zhang¹, Yingchun He¹, Min Hong², Yang Wang³, Mingzhang Li¹, Qiguo Zhuang¹, Kui Du¹, Yue Xie^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.074974 - 28 February 2026

Abstract The genus Actinidia is primarily functionally dioecious, and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs. In this study, the accuracy of three sex-linked molecular markers (SyGI [Shy Girl], FrBy [Friendly Boy], and SmY1) in sex identification was evaluated in various Actinidia species. The selected marker products were subsequently cloned and sequenced in six wild Actinidia species. Ninety-six wild A. chinensis chinensis accessions and 74 A. chinensis deliciosa accessions, most of which were wild, with only one cultivated, were used for comprehensive primer validation. Thirty-three juvenile A. chinensis chinensis hybrid seedlings were used for practical application… More >

Abdo Hasan AL-Qadri^1,*, Mohammed Ateik Al-Khadher², Nadia Saraa³, Ahmed Abdalmonem Mohmed Ahmed⁴, Pengfei Chen¹, Salaheldin Farah Bakhiet⁵, Ismael Salamah Albursan², Hazim M. Alhaqbani⁶, Abdullah Saad Almutairi⁷

Journal of Psychology in Africa, Vol.36, No.1, pp. 65-77, 2026, DOI:10.32604/jpa.2025.069675 - 26 February 2026

Abstract Burnout is an escalating global occupational health challenge, requiring valid and reliable assessment tools. This study validates the Copenhagen Burnout Inventory (CBI) for assessing burnout among Sudanese workers in the education, healthcare, and banking sectors, where burnout prevalence is high. Utilizing the 19-item CBI, translated into Arabic, the study measured burnout across three dimensions: Personal Burnout (PB), Work-related Burnout (WB), and Client-related Burnout (CB). A total of 1068 participants were surveyed, including 438 teachers (41%), 326 healthcare workers (30.5%), and 304 bank employees (28.5%). Exploratory and Confirmatory Factor Analyses confirmed the construct validity of the… More >

Jun Zhe Tan¹, Rodney H. G. Tan^1,*, Nor Ashidi Mat Isa², Sew Sun Tiang¹, Chun Kit Ang¹, Kuo-Ping Lin^1,3,4, Wei Hong Lim^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2025.073821 - 26 February 2026

Abstract Accurate estimation of photovoltaic (PV) parameters is essential for optimizing solar module performance and enhancing resource efficiency in renewable energy systems. This study presents a process innovation by introducing, for the first time, the Triangulation Topology Aggregation Optimizer (TTAO) integrated with parallel computing to address PV parameter estimation challenges. The effectiveness and robustness of TTAO are rigorously evaluated using two standard benchmark datasets (KC200GT and R.T.C. France solar cells) and a real-world dataset (Poly70W solar module) under single-, double-, and triple-diode configurations. Results show that TTAO consistently achieves superior accuracy by producing the lowest RMSE More >

Zhendong Du^*, Hanliu Wang, Kenji Hashimoto

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.074520 - 10 February 2026

Abstract Planning in lexical-prior-free environments presents a fundamental challenge for evaluating whether large language models (LLMs) possess genuine structural reasoning capabilities beyond lexical memorization. When predicates and action names are replaced with semantically irrelevant random symbols while preserving logical structures, existing direct generation approaches exhibit severe performance degradation. This paper proposes a symbol-agnostic closed-loop planning pipeline that enables models to construct executable plans through systematic validation and iterative refinement. The system implements a complete generate-verify-repair cycle through six core processing components: semantic comprehension extracts structural constraints, language planner generates text plans, symbol translator performs structure-preserving mapping,… More >

Van-Viet Nguyen¹, Huu-Khanh Nguyen², Kim-Son Nguyen¹, Thi Minh-Hue Luong¹, Duc-Quang Vu¹, Trung-Nghia Phung³, The-Vinh Nguyen^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075442 - 29 January 2026

Abstract It remains difficult to automate the creation and validation of Unified Modeling Language (UML) diagrams due to unstructured requirements, limited automated pipelines, and the lack of reliable evaluation methods. This study introduces a cohesive architecture that amalgamates requirement development, UML synthesis, and multimodal validation. First, LLaMA-3.2-1B-Instruct was utilized to generate user-focused requirements. Then, DeepSeek-R1-Distill-Qwen-32B applies its reasoning skills to transform these requirements into PlantUML code. Using this dual-LLM pipeline, we constructed a synthetic dataset of 11,997 UML diagrams spanning six major diagram families. Rendering analysis showed that 89.5% of the generated diagrams compile correctly, while… More >