Yuji Sang¹, Lijun Liu^1,*, Long Lv^1,*, Husheng Wu², Hemin Yin¹

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2025.073837 - 12 March 2026

Abstract Aiming at the challenges of low throughput, excessive consensus latency and high communication complexity in the Practical Byzantine Fault Tolerance (PBFT) algorithm in blockchain networks, its application in identity verification for distributed networking of a drone cluster is limited. Therefore, a lightweight blockchain-based identity authentication model for UAV swarms is designed, and a Credit-score and Grouping-mechanism Practical Byzantine Fault Tolerance (CG-PBFT) algorithm is proposed. CG-PBFT introduces a reputation score evaluation mechanism, classifies the reputation levels of nodes in the network, and optimizes the consensus process based on grouping consensus and BLS aggregate signature technology. Experimental More >

Geng Zhang¹, Xiangyu Ding², Zidan Wen², Chao Liu², Duyen T. P. Nguyen³, Jinxiu Song⁴, Zejin Zhang⁵, Zhiming Yan^1,6, Yuanhua Wang^1,*, Zhengnan Yan^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.077381 - 28 February 2026

Abstract As a pivotal environmental factor, light, comprising intensity, photoperiod, and spectrum, governs the entire life cycle of strawberries by mediating alterations in the plant’s morphological, physiological, and biochemical traits. Although extensive research has been conducted on light-mediated growth regulation in horticultural crops, most reviews focus primarily on leafy and fruiting vegetables, with limited attention given to berry crops such as strawberries. Additionally, most existing reviews concentrate on one or several growth stages, failing to systematically characterize light’s effects throughout the entire growth cycle and postharvest stage. This review briefly summarizes the regulatory roles of light More >

Shaimaa R. Ahmed^1,*, Omnia M. Hendawy², Sumera Qasim², Hanan Khojah³, Ambreen Malik Uttra⁴

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.075718 - 28 February 2026

Abstract The study evaluated the skin anti-aging activity of Astragalus sarcocolla leaves extract (ASE) by assessing its antioxidant and inhibitory effect activity on matrix metalloproteinase (MMP), collagenase, elastase, hyaluronidase, and tyrosinase in relation to its chemical composition. Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS) identified 27 metabolites (15 flavonoids, 8 phenolic acids and their derivatives, and 4 coumarins). ASE showed strong antioxidant capacity in DPPH (IC₅₀ value of 26.05 µg/mL) and FRAP (2433 µM FeSO₄/g extract) assays. The extract inhibited MMP-1 and MMP-9 in a concentration-dependent manner and suppressed collagenase, elastase, hyaluronidase, and tyrosinase activities (IC₅₀ = 35.038, 40.748, 61.389,… More > Graphic Abstract

Hongli Guo^1,*, Huanyin Yang¹, Suihu Dang¹, Shunru Zhang², Haijun Hou³

Chalcogenide Letters, Vol.23, No.2, 2026, DOI:10.32604/cl.2026.076290 - 28 February 2026

Abstract To gain deeper insights into the characteristics of orthorhombic NaCuZrS₃, this study investigates its mechanical, electronic and thermal properties using a theoretical approach grounded in density functional theory (DFT). The computed structural parameters align closely with experimental data. Additionally, its elastic constants and moduli show an increasing trend as pressure increases. It confirms that this material is brittle at 0 GPa, but as the pressure increases, it transforms into a ductile material after 10 GPa. Through computational analysis, the electronic properties for NaCuZrS₃ are determined. The material is an indirect bandgap semiconductor with a bandgap of More >

Xuming Hu¹, Nan Hu¹, Na Li¹, Xinsong Zhang², Xiaocen Xue², Xiuyong Yu^2,*

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.071728 - 27 February 2026

Abstract The dense integration of residential distributed photovoltaic (PV) systems into three-phase, four-wire low-voltage (LV) distribution networks results in reverse power flow and three-phase imbalance, leading to voltage violations that hinder the growth of rural distributed PV systems. Traditional voltage droop-based control methods regulate PV power output solely based on local voltage measurements at the point of PV connection. Due to a lack of global coordination and optimization, their efficiency is often subpar. This paper presents a centralized coordinated active/reactive power control strategy for PV inverters in rural LV distribution feeders with high PV penetration. The… More >

Zhengrong Chen^1,2,*, Yu Qi², Maojun Fang², Bo Wang², Xin Xie², Le Sun², Wei Liu¹

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.064770 - 27 February 2026

Abstract The migration, accumulation, and high yield of hydrocarbons in tight sandstone reservoirs are closely tied to the natural fracture systems within the reservoirs. Large-scale fracture networks not only enhance reservoir seepage capacity but also influence effective productivity and subsequent fracturing reconstruction. Given the diverse mechanical behaviors, such as migration, penetration, or fracture arrest, traditional assumptions about fracture interaction criteria fail to address this complexity. To resolve these issues, a global cohesive element method is proposed to model random natural fractures. This approach verifies intersection models based on real-time stress conditions rather than pre-set criteria, enabling… More >

Waseem Akhtar^1,2, Mahwish Ilyas³, Romana Aziz^4,*, Ghadah Aldehim⁴, Tassawar Iqbal⁵, Muhammad Ramzan⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.071669 - 26 February 2026

Abstract Human Activity Recognition (HAR) is a novel area for computer vision. It has a great impact on healthcare, smart environments, and surveillance while is able to automatically detect human behavior. It plays a vital role in many applications, such as smart home, healthcare, human computer interaction, sports analysis, and especially, intelligent surveillance. In this paper, we propose a robust and efficient HAR system by leveraging deep learning paradigms, including pre-trained models, CNN architectures, and their average-weighted fusion. However, due to the diversity of human actions and various environmental influences, as well as a lack of… More >

Ina Shehaj^1,2,*, Slavomir Krajnak¹, Katrin Almstedt¹, Yaman Degirmenci¹, Roxana Schwab¹, Kathrin Stewen¹, Walburgis Brenner¹, Annette Hasenburg¹, Marcus Schmidt^1,#, Anne-Sophie Heimes^1,#

Oncology Research, Vol.34, No.3, 2026, DOI:10.32604/or.2025.072222 - 24 February 2026

Abstract This article has no abstract. More >

Silvia Carloni^1,*, Maria Gemma Nasoni¹, Serafina Perrone², Erik Bargagni¹, Carla Gentile³, Walter Manucha⁴, Russel J. Reiter⁵, Francesca Luchetti^1,*, Walter Balduini^1,*

BIOCELL, Vol.50, No.2, pp. 1-22, 2026, DOI:10.32604/biocell.2025.073776 - 14 February 2026

Abstract Mitochondria are central regulators of cellular energy metabolism, redox balance, and survival, and their dysfunction contributes to neurodegenerative, cardiovascular, and metabolic diseases, as well as aging. Beyond its role as a circadian hormone, melatonin is now recognized as a key modulator of mitochondrial physiology. This review provides an overview of the mechanisms by which melatonin can preserve mitochondrial function through multifaceted mechanisms. Experimental evidence shows that melatonin enhances the activity of electron transport chain (ETC) complexes, stabilizes the mitochondrial membrane potential (Δψ), and prevents cardiolipin (CL) peroxidation, thereby limiting permeability transition pore (mPTP) opening and… More >

Chengqi Liu¹, Yongtao Li², Weiping Zou^3,*, Deyu Lin^4,5,*

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.074975 - 10 February 2026

Abstract With the large-scale deployment of the Internet of Things (IoT) devices, their weak security mechanisms make them prime targets for malware attacks. Attackers often use Domain Generation Algorithm (DGA) to generate random domain names, hiding the real IP of Command and Control (C&C) servers to build botnets. Due to the randomness and dynamics of DGA, traditional methods struggle to detect them accurately, increasing the difficulty of network defense. This paper proposes a lightweight DGA detection model based on knowledge distillation for resource-constrained IoT environments. Specifically, a teacher model combining CharacterBERT, a bidirectional long short-term memory More >