Seohyun Yoo, Joonseo Hyeon, Jaehyuk Cho^*

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.077579 - 09 April 2026

Abstract Despite remarkable advances in medical large language models (LLMs), their deployment in real clinical settings remains impractical due to prohibitive computational requirements and privacy regulations that restrict cloud-based solutions. Small LLMs (sLLMs) offer a promising alternative for on-premise deployment, yet they require domain-specific fine-tuning that still exceeds the hardware capacity of most healthcare institutions. Furthermore, the impact of multilingual data composition on medical sLLM performance remains poorly understood. We present a resource-efficient fine-tuning pipeline that integrates Quantized Low-Rank Adaptation (QLoRA), Fully Sharded Data Parallelism (FSDP), and Sequence Packing, validated across two model scales: MedGemma 4B… More >

Yifan Wang¹, Xishun Qiu¹, Chao Wu¹, Jiazhao Li¹, Chang Dai¹, Bowen Han¹, Jinhu Hu², Mingliang Ma^1,*, Ye-Tang Pan^2,*

Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.076443 - 03 April 2026

Abstract Polyurea (PUA) is widely valued in protective coatings and structural reinforcement because of its impressive mechanical strength and resistance to corrosion. Its high flammability, together with the poor dispersion that often comes with simply blending in flame retardants, continues to limit its use in demanding environments. To overcome these issues, this study introduces a different approach. We grafted 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide (DOPO) onto the surface of a metal–organic framework (MOF) and then partially amino-functionalized the DOPO layer, ultimately creating an amino-modified DOPO–MOF hybrid. The introduced amino groups can directly react with the isocyanate (–NCO) groups in the… More >

Yu Shen¹, Yi Liu¹, Hanchen Zhang², Liuyang Li^3,4, Kaiming Pan⁵, Qinghe Fang^2,*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072871 - 31 March 2026

Abstract This study presents a systematic numerical analysis of wind loads on offshore photovoltaic (PV) panels. A computational fluid dynamics (CFD) model, incorporating a free-surface wave boundary condition, is developed and validated against experimental data. Parametric investigations quantify the effects of wind speed, panel tilt angle, clearance, and wave characteristics on the aerodynamic coefficients (drag, lift, and moment). Results indicate that all force coefficients increase with wind speed, with the lift coefficient being most sensitive to wave action. While a larger tilt angle intensifies airflow disturbance and amplifies the coefficients, this effect is more pronounced over More >

Yisheng Liu^*, Xufeng Sun, Zhifeng Chen

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.077267 - 31 March 2026

Abstract This study addresses the optimization of automated yarn handling in textile manufacturing by examining the related suction process through a combined numerical and experimental approach. In particular, a three-dimensional model of the suction nozzle was coupled with an equivalent linear-elastic beam representation of the yarn, and a Fluent–IDW–Abaqus weakly coupled fluid–structure interaction (FSI) framework was employed to capture the yarn’s release and dynamic response under negative-pressure suction. High-speed imaging experiments validated the simulations, demonstrating excellent agreement in displacements and velocities. According to the results, increasing the initial suction pressure from −0.04 MPa to −0.06 MPa More >

Jiafei He^1,2, Ailixiati Alifu², Haifan Wang², Renwei Chen^1,2,*

Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.075858 - 31 March 2026

Abstract Hyperglycemia in pregnancy (HIP) is an important independent risk factor for congenital heart disease (CHD) in offspring. With an increasing number of women of childbearing age experiencing gestational hyperglycemia, the impact of an intrauterine hyperglycemic environment on fetal development has drawn significant attention. However, the teratogenic mechanisms underlying its effects on cardiac development remain incompletely understood. This review systematically analyzes relevant literature to summarize its underlying mechanisms and key findings: A hyperglycemic environment disrupts cardiac neural crest cell migration, differentiation, and the proliferation/apoptosis balance of cardiomyocytes by inducing oxidative stress, endoplasmic reticulum stress, and inflammatory… More >

Xianke He¹, Yuansheng Li¹, Hengjie Liao¹, Zhehao Jiang¹, Meixue Shi¹, Zhe Hu^2,3, Yaowei Huang^2,3, Keliu Wu^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.1, 2026, DOI:10.32604/fdmp.2026.074990 - 06 February 2026

Abstract Weak water-drive offshore reservoirs with complex pore architecture and strong permeability heterogeneity present major challenges, including rapid depletion of formation energy, low waterflood efficiency, and significant lateral and vertical variability in crude oil properties, all of which contribute to limited recovery. To support more effective field development, alternative strategies and a deeper understanding of pore-scale flow behavior are urgently needed. In this work, CT imaging and digital image processing were used to construct a digital rock model representative of the target reservoir. A pore-scale flow model was then developed, and the Volume of Fluid (VOF)… More > Graphic Abstract

Haokai Xie¹, Yi Lu¹, Xiaojun Ni¹, Yilei Gu¹, Sihao Fu^2,*, Wenyao Ye³, Zheren Zhang², Zheng Xu²

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070934 - 27 January 2026

Abstract With the rapid development of large-scale offshore wind farms, efficient and reliable power transmission systems are urgently needed. Hybrid high-voltage direct current (HVDC) configurations combining a diode rectifier unit (DRU) and a modular multilevel converter (MMC) have emerged as a promising solution, offering advantages in cost-effectiveness and control capability. However, the uncontrollable nature of the DRU poses significant challenges for system stability under offshore AC fault conditions, particularly due to its inability to provide fault current or voltage support. This paper investigates the offshore AC fault characteristics and fault ride-through (FRT) strategy of a hybrid… More >

Meenakshi Aggarwal¹, Vikas Khullar^2,*, Nitin Goyal³

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-31, 2026, DOI:10.32604/cmc.2025.072673 - 09 December 2025

Abstract The Internet of Vehicles, or IoV, is expected to lessen pollution, ease traffic, and increase road safety. IoV entities’ interconnectedness, however, raises the possibility of cyberattacks, which can have detrimental effects. IoV systems typically send massive volumes of raw data to central servers, which may raise privacy issues. Additionally, model training on IoV devices with limited resources normally leads to slower training times and reduced service quality. We discuss a privacy-preserving Federated Split Learning with Tiny Machine Learning (TinyML) approach, which operates on IoV edge devices without sharing sensitive raw data. Specifically, we focus on… More >

Mohamed Ezz¹, Meshrif Alruily^1,*, Ayman Mohamed Mostafa^2,*, Alaa S. Alaerjan¹, Bader Aldughayfiq², Hisham Allahem², Abdulaziz Shehab²

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-28, 2026, DOI:10.32604/cmc.2025.063189 - 10 November 2025

Abstract Automated essay scoring (AES) systems have gained significant importance in educational settings, offering a scalable, efficient, and objective method for evaluating student essays. However, developing AES systems for Arabic poses distinct challenges due to the language’s complex morphology, diglossia, and the scarcity of annotated datasets. This paper presents a hybrid approach to Arabic AES by combining text-based, vector-based, and embedding-based similarity measures to improve essay scoring accuracy while minimizing the training data required. Using a large Arabic essay dataset categorized into thematic groups, the study conducted four experiments to evaluate the impact of feature selection,… More >

Mircea Ţălu^1,2,*

Journal of Cyber Security, Vol.7, pp. 565-587, 2025, DOI:10.32604/jcs.2025.073690 - 11 December 2025

Abstract The rapid proliferation of Internet of Things (IoT) devices has intensified the demand for cryptographic solutions that balance security, performance, and resource efficiency. However, existing studies often focus on isolated algorithmic families, lacking a comprehensive structural and experimental comparison across diverse lightweight cryptographic designs. This study addresses that gap by providing an integrated analysis of modern lightweight cryptographic algorithms spanning six structural classes—Substitution–Permutation Network (SPN), Feistel Network (FN), Generalized Feistel Network (GFN), Addition–Rotation–XOR (ARX), Nonlinear Feedback Shift Register (NLFSR), and Hybrid models—evaluated on resource-constrained IoT platforms. The key contributions include: (i) establishing a unified benchmarking… More >