Xiaoshan Wang¹, Qiang Cui¹, Lei Pu^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.5, 2026, DOI:10.32604/fdmp.2026.081184 - 27 May 2026

Abstract The passability (transport behavior) of while-drilling lost circulation materials (LCMs) through directional tools is strongly influenced by material composition and particle characteristics. In this study, a coupled computational fluid dynamics–discrete element method (CFD–DEM) model is developed to systematically evaluate the effects of particle size distribution, concentration, morphology, and fiber inclusion on LCM transport behavior. Visualization experiments conducted using a transparent screen section demonstrate good agreement with the simulated pressure-drop evolution, supporting the validity of the model. The results reveal that increasing particle size from 1.2–1.6 mm to above 2.8 mm shifts the system from a More > Graphic Abstract

Mohammed A. El-Shorbagy¹, Anas Bouaouda^2,*, Fatma A. Hashim³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.077765 - 27 May 2026

Abstract As real-world optimization problems become more complex, the development of sophisticated and robust algorithms has become essential. Consequently, researchers are focusing on advanced optimization methods that efficiently explore the feasible solution space. This involves designing new high-performance algorithms or enhancing existing meta-heuristic methods by integrating advanced evolutionary strategies. Barnacles Mating Optimizer (BMO) is an evolutionary-based meta-heuristic algorithm inspired by the mating behavior of barnacles, incorporating Hardy–Weinberg principles and the sperm-cast mechanism. Introduced in 2020, BMO has attracted significant attention and has been successfully applied across diverse fields due to its simple design, ease of implementation,… More >

Pengfei Zhao^1,*, Youlin Ye²

Structural Durability & Health Monitoring, Vol.20, No.3, 2026, DOI:10.32604/sdhm.2026.072074 - 18 May 2026

Abstract Under soft soil geological conditions, tunnel engineering disturbances can induce changes in ground surface surcharges and lead to stress redistribution in the surrounding soils. As relatively unfavorable loads during engineering disturbances, ground surface surcharges significantly influence both transverse and longitudinal deformations of shield tunnel structures, resulting in increased ellipticity, segment dislocations, joint openings, and tunnel settlement. This study investigates the effect of two different steel plate reinforcement methods—annular steel plates and cross-joint steel plates—on tunnel structures under surface surcharge loading. Using the Mohr–Coulomb elastoplastic constitutive model, the influence of surface surcharges on shield tunnel segment… More >

Kelan Wang¹, Jianfei Chen^2,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.079644 - 08 May 2026

Abstract As 6G-enabled Industrial Internet of Things (IIoT) evolves, green and sustainable industrial monitoring increasingly relies on edge AI to deliver low-latency diagnosis under tight resource constraints. Industrial cyber–physical systems increasingly rely on heterogeneous sensing and communication infrastructures, where network-side attacks can propagate into physical processes and appear as coupled anomalies. Reliable diagnosis therefore requires joint learning from time-synchronized cyber and physical telemetry rather than modeling them as independent signals. This paper develops Cyber–Physical Symbiosis Network (CPSNet), a model designed for edge-AI deployment with a dual-stream architecture for fixed-window multiclass cross-domain anomaly diagnosis in IIoT. CPSNet… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.081623 - 22 April 2026

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.081621 - 22 April 2026

Abstract This article has no abstract. More >

Giuseppe Marannano^*, Antonino Cirello, Tommaso Ingrassia

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077884 - 09 April 2026

Abstract In response to the growing need for adaptive optimization algorithms capable of handling complex, multimodal, and high-dimensional search spaces, this paper introduces the Structured Random Cycle-guided Algorithm (SRCA). SRCA is not presented as a fundamentally new optimization paradigm, but rather as an architectural synthesis and a unified adaptive framework for dynamic operator selection. Based on a cycle-structured architecture, directional and stochastic search behaviors are dynamically selected at the individual level. The algorithm orchestrates well-established structured movements with a diverse pool of stochastic exploration strategies, enabling a coherent and adaptive balance between exploration and exploitation throughout More >

Hitesh Mohapatra^*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076726 - 09 April 2026

Abstract This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine learning models deployed at the network edge. Existing literature shows that edge-based distributed intelligence reduces cloud dependency. It addresses transmission latency, device energy use, and bandwidth limits. Recent optimization strategies employ dynamic task offloading mechanisms to determine optimal workload placement across local devices and edge servers without centralized coordination. Empirical findings from the literature indicate performance improvements with latency reductions of approximately 32.8% and energy efficiency gains of 27.4% compared to conventional cloud-centric models.… More >

Yujie Zhang, Yankai Zhao, Zhuang Zhao, Mengmeng Shan, Bochen Xu, Haoquan Xue, Junxuan Xu, Fan Wu, Qiang He^*

Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.076617 - 03 April 2026

Abstract This study presents a sustainable approach for the valorization of spent coffee grounds (CG) by converting them into carboxylated cellulose nanofibrils (CG-TCNF) via formic acid/hydrogen peroxide pretreatment followed by TEMPO/NaClO/NaClO₂-mediated oxidation. The pretreatment efficiently removed lignin, hemicellulose, and other non-cellulosic components, yielding purified cellulose (CG-C) with high crystallinity (CrI = 84%). Subsequent regioselective oxidation introduced carboxyl groups at the C6 position of cellulose chains, achieving a high carboxylate content of 1.4 mmol/g. The resulting CG-TCNF exhibited a well-dispersed nanofibrillar morphology with an average width of 3.57 nm and a high specific surface area of 265 m²/g. More >

Tao Yuan¹, Qin Tang², Zhiwen Zhu^2,*, Jin Jiang², Lin Zhang¹, Gangqiao Wang¹

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072805 - 31 March 2026

Abstract Using field monitoring data, this study directly compares the stress responses of fatigue-prone orthotropic steel deck (OSD) details with an epoxy asphalt concrete (EAC) overlay during in-service winter and summer seasons. This study was conducted on the E’dong Yangtze River Bridge in China, a cable-stayed bridge featuring a main span of 936 m and an EAC-paved deck pavement. The findings reveal that across all OSD details, stress levels and loading cycles are generally higher in summer than in winter. The most pronounced increase occurs at the rib-to-deck (RD) detail, particularly on the deck plate side.… More >