Niken Chatarina^*, Suyadi Suyadi, Noorhidana Vera Agustriana, Chairani Zilia, Mariyanto Mariyanto

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2026.067525 - 31 March 2026

Abstract In strong aggressive areas, Indonesian standards specify a maximum penetration of 30 mm. Concrete utilizes sulfate-resistant Portland Pozzolan Cement (PPC) for a target strength of 30 MPa, with and without silica fume and plastic fiber (SR-SFF-sea and SR-N-SFF). Some samples of SR-N-SFF are immersed in the sea (SR-N-SFF-sea), while others are protected (SR-N-SFF-protected). Additionally, concrete using non-sulfate-resistant cement (NSR-sea) with a strength of 20.75 MPa was also evaluated. All samples were subjected to penetration depth testing according to the DIN EN 12390-8 standard, demonstrating that they met the penetration requirements for intense aggression. The study… More > Graphic Abstract

Awatif Rashed Z. Almotairy^1,2, Eman Fayad³, Fatimah Hadadi⁴, Ahmad F. Alhomodi⁵, Dalal Nasser Binjawhar⁶, Hanadi A. Katouah⁷, Bassma H. Elwakil^8,*, Keshav Raj Paudel^9,10,*, Mostafa El-Khatib¹¹

Oncology Research, Vol.34, No.4, 2026, DOI:10.32604/or.2025.070645 - 23 March 2026

Abstract Objectives: Prostate cancer cells often develop mechanisms to evade conventional therapies. Nanomedicine offers the potential for targeted drug delivery, improved tumor accumulation, and reduced systemic toxicity. This study biosynthesizes silver nanoparticles (NPP/AgONPs) functionalized with propolis, evaluates their antibacterial efficacy against uropathogenic strains of Escherichia coli (E. coli), and assesses their cytotoxic effect on cancer cell proliferation using the PC-3, human prostate epithelial cell line. Methods: The synthesized NPP/AgONPs physiochemical parameters were characterized, followed by in vitro assays to evaluate their antibacterial activity against multiple uropathogenic E. coli strains; determining the cytotoxicity against HPrEC and PC-3 cells by measuring cytotoxicity (CC₅₀)… More >

Christian Pérez-Chablé¹, Daisy Pérez-Brito^1,*, Anuar Magaña-Alvarez¹, Jairo Cristóbal-Alejo², Irma L. Medina-Baizabal¹, Marcela Gamboa-Angulo^1,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.072668 - 28 February 2026

Abstract Acalypha gaumeri (Euphorbiaceae) is the only endemic species of the genus in the Yucatan Peninsula. It is dioecious and has antifungal properties against various phytopathogens. In the present study, molecular identification of A. gaumeri was performed using the rbcL region, confirming its belonging to the Acalypha genus. Its genetic diversity was evaluated using 10 SPAR markers (ISSR and DAMD) from 60 individuals collected from female and male plants of the Kiuic, Tinum and Yaxcaba ex-situ populations. The results showed a high level of genetic polymorphism (PIC = 0.980) and significant differences among the populations. Ethanol and aqueous extracts from… More >

Xuan Ruan¹, Han Yan², Donglin Hu¹, Min Zhang², Ying Li¹, Di Hai¹, Bo Yang^3,*

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.071166 - 27 February 2026

Abstract An optimized volt-ampere reactive (VAR) control framework is proposed for transmission-level power systems to simultaneously mitigate voltage deviations and active-power losses through coordinated control of large-scale wind/solar farms with shunt static var generators (SVGs). The model explicitly represents reactive-power regulation characteristics of doubly-fed wind turbines and PV inverters under real-time meteorological conditions, and quantifies SVG high-speed compensation capability, enabling seamless transition from localized VAR management to a globally coordinated strategy. An enhanced adaptive gain-sharing knowledge optimizer (AGSK-SD) integrates simulated annealing and diversity maintenance to autonomously tune voltage-control actions, renewable source reactive-power set-points, and SVG output.… More >

Claudia M. L. Bevilaqua^1,*, José Vilemar de Araújo-Filho², Livia F. Ximenes¹, Henety N. Pinheiro¹, Flávia O. M. da Silva Abreu³, Débora S. C. M. Castelo Branco⁴, Ana Carolina F. L. Melo⁴, Weibson P. P. André¹, Wesley L. C. Ribeiro⁵, Lorena M. B. de Oliveira¹

Journal of Renewable Materials, Vol.14, No.2, 2026, DOI:10.32604/jrm.2025.02025-0138 - 25 February 2026

Abstract Eucalyptus staigeriana essential oil (EsEO) has well-known anthelmintic activity in small ruminants. However, its volatility limits its therapeutic action. The aim of this study was to develop a water-in-oil sodium alginate-based nanoemulsion with an effective in vitro effect on the eggs and larvae of Haemonchus contortus, a gastrointestinal parasite of sheep and goats. Four oil-in-water sodium alginate-based emulsions were prepared using a high-energy method with different proportions of Tween 80, EsEO, and sodium alginate (ALG) 4%. The physical-chemical characterization included stability, particle size, zeta potential and infrared spectra. The effects of the emulsions were evaluated against H. contortus via… More > Graphic Abstract

Xinli Hao¹, Qingyuan Gong², Yang Chen^1,*

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.073155 - 12 January 2026

Abstract Topological information is very important for understanding different types of online web services, in particular, for online social networks (OSNs). People leverage such information for various applications, such as social relationship modeling, community detection, user profiling, and user behavior prediction. However, the leak of such information will also pose severe challenges for user privacy preserving due to its usefulness in characterizing users. Large-scale web crawling-based information probing is a representative way for obtaining topological information of online web services. In this paper, we explore how to defend against topological information probing for online web services,… More >

Bello Musa Yakubu^1,*, Nor Shahida Mohd Jamail ², Rabia Latif ², Seemab Latif ³

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072426 - 12 January 2026

Abstract Federated Learning (FL) enables joint training over distributed devices without data exchange but is highly vulnerable to attacks by adversaries in the form of model poisoning and malicious update injection. This work proposes Secured-FL, a blockchain-based defensive framework that combines smart contract–based authentication, clustering-driven outlier elimination, and dynamic threshold adjustment to defend against adversarial attacks. The framework was implemented on a private Ethereum network with a Proof-of-Authority consensus algorithm to ensure tamper-resistant and auditable model updates. Large-scale simulation on the Cyber Data dataset, under up to 50% malicious client settings, demonstrates Secured-FL achieves 6%–12% higher accuracy, More >

Hongwei Wu^*, Guojian Li, Hanyun Zhang, Zi Ye, Chao Ma

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071008 - 12 January 2026

Abstract Federated Learning (FL) protects data privacy through a distributed training mechanism, yet its decentralized nature also introduces new security vulnerabilities. Backdoor attacks inject malicious triggers into the global model through compromised updates, posing significant threats to model integrity and becoming a key focus in FL security. Existing backdoor attack methods typically embed triggers directly into original images and consider only data heterogeneity, resulting in limited stealth and adaptability. To address the heterogeneity of malicious client devices, this paper proposes a novel backdoor attack method named Capability-Adaptive Shadow Backdoor Attack (CASBA). By incorporating measurements of clients’… More >

Jing Shan¹, Catherine King^2,3, Harunor Rashid^3,4, Veysel Kayser^1,*

Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.070851 - 30 December 2025

Abstract Objectives: B-cell maturation antigen (BCMA)-targeted antibody–drug conjugates (ADCs) have emerged as promising therapies for relapsed/refractory multiple myeloma (RRMM), but the overall efficacy and safety profile is unclear. This study aimed to synthesize the available evidence on the safety and efficacy of BCMA-ADCs in development for RRMM. Methods: A systematic search was conducted using six bibliographic databases and ClinicalTrials.gov up to November 2024. Studies were eligible if they were human clinical trials or animal studies evaluating BCMA-ADCs and reported efficacy and safety outcomes. Data extraction and quality assessments were conducted using validated tools, including ROBINS-I… More >

Ran Wei^*, Hui Shu

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.069562 - 10 November 2025

Abstract Transformer-based models have significantly advanced binary code similarity detection (BCSD) by leveraging their semantic encoding capabilities for efficient function matching across diverse compilation settings. Although adversarial examples can strategically undermine the accuracy of BCSD models and protect critical code, existing techniques predominantly depend on inserting artificial instructions, which incur high computational costs and offer limited diversity of perturbations. To address these limitations, we propose AIMA, a novel gradient-guided assembly instruction relocation method. Our method decouples the detection model into tokenization, embedding, and encoding layers to enable efficient gradient computation. Since token IDs of instructions are… More >