Yi-Sian Huang^1,2, Chung-Yung Ma^1,2, Hsiao-Yuh Roan³, Cheng-Hsiung Chiang⁴, Hsiao-Hui Tsou⁴, Chen-Hui Chen³, Yi-Fan Lin², Horng-Dar Wang², Chiou-Hwa Yuh^1,5,6,7,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.074145 - 21 May 2026

Abstract Objectives: Hepatocellular carcinoma (HCC) arising in metabolic dysfunction–associated steatotic liver disease (MASLD) develops under lipid-rich stress and inflammatory remodeling, which can alter therapeutic windows. We aimed to determine whether phenotypic response surface–guided optimization (PRS-OPT) can nominate hepatocyte-sparing propolis–metformin–regorafenib (PMR) dose windows that retain antitumor activity under MASLD-like fatty-acid (FA) stress and translate to an in vivo immune endpoint. Methods: PMR combinations were profiled in hepatoma cell lines (PLC/PRF/5 and HepG2) and non-malignant hepatocytes (THLE-2) under FA-free and FA-enriched conditions. Quadratic response surfaces were fitted and used for constrained dose nomination, followed by in vitro validation. Cell-death contributions were… More >

Guansi Liu¹, Hui Jin^1,*, Keqin Ding², Hao Wang³, Violeta Mircevska⁴, Maosen Cao⁵

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.079074 - 18 May 2026

Abstract In response to the dynamic changes in fatigue damage location of crane welding structures under lifting loads and the difficulty in accurately obtaining the stress concentration factor of welds, which results in limited effetiveness of traditional health monitoring sensor placement. This paper proposes aa sensor placement optimization method that integrates damage prediction and risk assessment. Firstly, the influence of weld geometry on fatigue performance is analyzed, and a rapid estimation model for the stress concentration factor is established using a radial basis function support vector machine. Furthermore, a fatigue damage prediction model for the welded… More >

Luis Sánchez Calderón^*, David Valverde Burneo, Walter Hurtares Orrala

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.077137 - 18 May 2026

Abstract Accurate characterization of live load histories remains critical for structural safety and efficient design; however, traditional codes often overestimate in-service loads. This study introduced an AI-driven framework integrating YOLOv8 object detection and DeepFace gender classification with continuous video surveillance to monitor live loads in academic buildings. Gender classification used local anthropometric data (77 kg males, 61 kg females) for precise load estimation, with privacy ensured via local processing and anonymized metadata only. Observed peaks were substantially below Eurocode and IBC provisions, confirming code conservatism. Uncertainty propagation from detector errors (recall 0.57, ±0.02 Kn/m²) minimally impacted projections. More >

Chenhui Peng¹, Jinbiao Tang¹, Derun Zhang^1,2,*

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.075421 - 18 May 2026

Abstract Rutting is a serious issue in asphalt pavement, which may reduce the pavement driving quality and safety. Accurately predicting rutting depth is a crucial task in pavement engineering, providing crucial decision support for asphalt pavement design and maintenance. However, accurate prediction of pavement rutting still remains a significant challenge for pavement engineers. This research first selects the loading number, temperature, dynamic modulus, asphalt layer thickness, and base layer type and thickness as candidate features. Data preprocessing, including outlier handling and feature selection, is then performed. Finally, based on the stacking algorithm, a multi-model fusion approach… More >

Shan Yuan^1,2, Fei Wang^2,*, Jinping Zhang^2,*, Yuxin Jiang², Kaibo Gu², Chenhao Qiao², Yutong Bai², Jie Yu², Quan Chen¹, Dedi Han³

Chalcogenide Letters, Vol.23, No.4, 2026, DOI:10.32604/cl.2026.082805 - 09 May 2026

Abstract Sodium metal batteries stand as a highly promising electrochemical energy storage system; however, their commercialization is severely impeded by challenges such as anode dendrite formation, the shuttle effect of highly reactive intermediates at the cathode, electrode volume expansion, and interfacial instability. Owing to their high electronic conductivity, high theoretical specific capacity, and superior sodiumphilic affinity, tellurium and its tellurides have emerged as pivotal functional materials for enhancing the performance of sodium metal batteries. This study reviews the advancements in their applications within sodium metal batteries, elaborates rational design strategies carbon-based composites, alloying, and heterostructure construction More >

Soukaina Mjahed¹, Ouail Mjahed^2,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.081953 - 08 May 2026

Abstract The rapid emergence of sophisticated, dynamic, and rare or previously unseen attack pattern exposes fundamental limitations of conventional intrusion detection systems (IDS) based on static learning architectures. While deep learning (DL) models have demonstrated strong performance by capturing complex spatial and temporal traffic patterns, existing DL-based IDS largely rely on fixed decision structures, restricting adaptability to evolving threats. Furthermore, current hybrid DL-metaheuristic approaches typically use such metaheuristics as offline or auxiliary optimizers, without interacting with the deep model’s internal latent representations. This paper introduces a novel co-evolutionary IDS that establishes a tight, bidirectional coupling between… More >

Feng Lv^*, Xin Xu, Cheng Yang, Yixuan Tang

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079917 - 08 May 2026

Abstract To ensure an effective disturbance response and maintain continuous production in hybrid flow shops, this paper focuses on the design of a rescheduling method. A rescheduling model is constructed that minimizes the makespan, total tardiness, and scheme deviation degree. A hybrid rescheduling driving mechanism based on the latest completion time is designed to effectively trigger rescheduling. The Whale Optimization Algorithm (WOA) is improved by integrating the good point set theory, nonlinear control parameter strategy, and Differential Evolution (DE) algorithm. Moreover, non-dominated sorting and a dynamic external archive mechanism based on crowding distance are introduced to More >

Qianshu Yang, Shuangxi Liu^*, Xianyu Wu, Wei Zhao

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079895 - 08 May 2026

Abstract Path planning for unmanned systems in complex environments must simultaneously satisfy safety, kinematic feasibility, and real-time performance requirements. Monte Carlo Tree Search (MCTS) offers advantages such as model-free operation, strong interpretability, and anytime planning capability, but it suffers from large branching factors, excessive search depths, and poor convergence under sparse reward conditions in high-dimensional state spaces. To address these challenges, this paper proposes a Heuristic Rolling Monte Carlo Tree Search (HRMCTS) framework. First, the path planning problem is formulated as a constrained Markov decision process, where the state consists of position and heading, and actions… More >

Mingzhe Li^1,2,3,4, Piao Ma^2,4, Limin Li⁴, Weijie Yang^1,*, Hao Li^3,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079131 - 08 May 2026

Abstract Structural optimization is a fundamental step in density functional theory (DFT) calculations, typically driven by the Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizer. However, the standard BFGS algorithm relies on a local quadratic approximation of the potential energy surface (PES), which frequently breaks down in highly non-quadratic regimes typical of complex surface adsorption systems and defective bulk materials. This breakdown leads to “Hessian pollution”, a phenomenon where higher-order anharmonicities introduce spurious off-diagonal inter-atomic couplings that distort curvature estimates and significantly stall convergence. Herein, we propose a physics-inspired algorithmic intervention to the BFGS method that systematically suppresses this pollution. Once… More >

Mengqi Liu, Haiqing Yao^*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078181 - 08 May 2026

Abstract For the wide-coverage application scenarios, wireless rechargeable sensor networks are normally divided into multiple clusters to support the diversity and flexibility for monitoring, and use the mobile charger (MC) to support the sustainable charging of the network. Many efforts focus on optimizing the cluster head selection and mobile charger scheduling to improve the network energy efficiency and reliability. However, the existing work tends to use fixed triggering mechanism for cluster head (CH) rotation, and may trigger the rotation either too early or too late. Besides, the existing charging triggering mechanisms cannot track the changes in… More >