Longgang Wang^2,3,#, Xiangxun Zhuansun^2,3,#, Yao Li^2,3, Qili Yao^2,3, Qi Liu^2,3,*, Huijing Lin^1,*

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 441-454, 2025, DOI:10.32604/phyton.2025.061720 - 06 March 2025

Abstract Fructus Ligustri Lucidi (FLL) refers to the dried mature fruit of Ligustrum lucidum Ait., a species from the Oleaceae family, widely distributed across East Asia and India. This study aimed to optimize the extraction process for Fructus Ligustri Lucidi essential oil (FLLO) to develop an efficient and practical extraction method. Additionally, the chemical composition of FLLO was analyzed, and its antioxidant, antimicrobial, and cytotoxic activities were evaluated. FLLO was extracted using supercritical CO₂ extraction, and response surface methodology was applied to optimize the extraction parameters: pressure of 16 MPa, temperature of 40°C, and extraction time of 40… More > Graphic Abstract

Amine Batbat^1,2, Mohamed El Fadili³, Naoufal El Hachlafi^4,*, Amine Elbouzidi^5,*, Chaymae Hmimen⁶, Hiba Yahyaoui^2,7, Samir Jeddi⁶, Abdellatif Benbouazza², Kawtar Fikri-Benbrahim⁶, Mohamed Addi⁵, Samiah Hamad Al-Mijalli⁸, Khaoula Habbadi², Hassane Greche¹

Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 481-501, 2025, DOI:10.32604/phyton.2025.059841 - 06 March 2025

Abstract This study highlights the regulatory potential antibacterial and antiradical of Origanum elongatum essential oil (EO), an endemic medicinal plant of Morocco used for its various properties. The chemical composition of the EO was characterized using gas chromatography-mass spectrometry (GC-MS). The antibacterial activity against different agricultural phytopathogens was determined by disc diffusion and microatmosphere methods, as well as by the determination of minimum inhibitory concentrations (MIC) and minimum bactericidal concentration (MBC), while the antioxidant activity was evaluated by DPPH and FRAP assays. To complement the experimental analyses, a molecular docking approach was used to predict and elucidate… More >

Oswaldo González-Gaxiola¹, Anjan Biswas^2,3,4,*, Ahmed H. Arnous⁵, Yakup Yildirim^6,7

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2513-2525, 2025, DOI:10.32604/cmes.2025.062177 - 03 March 2025

Abstract Computational modeling plays a vital role in advancing our understanding and application of soliton theory. It allows researchers to both simulate and analyze complex soliton phenomena and discover new types of soliton solutions. In the present study, we computationally derive the bright and dark optical solitons for a Schrödinger equation that contains a specific type of nonlinearity. This nonlinearity in the model is the result of the combination of the parabolic law and the non-local law of self-phase modulation structures. The numerical simulation is accomplished through the application of an algorithm that integrates the classical… More >

Yuanjing Hao, Xuemin Wang, Liang Chang^*, Long Li, Mingmeng Zhang

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 3131-3159, 2025, DOI:10.32604/cmc.2024.059201 - 17 February 2025

Abstract Dynamic publishing of social network graphs offers insights into user behavior but brings privacy risks, notably re-identification attacks on evolving data snapshots. Existing methods based on -anonymity can mitigate these attacks but are cumbersome, neglect dynamic protection of community structure, and lack precise utility measures. To address these challenges, we present a dynamic social network graph anonymity scheme with community structure protection (DSNGA-CSP), which achieves the dynamic anonymization process by incorporating community detection. First, DSNGA-CSP categorizes communities of the original graph into three types at each timestamp, and only partitions community subgraphs for a specific… More >

Carlos Andrés Tavera Romero^1,*, Jesús Hamilton Ortiz², Luis Carlos Rodríguez Timaná³, Fernando Vélez Varela⁴, Andrés Hernando Aristizábal Montufar¹, Javier Gamboa-Cruzado⁵

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1699-1732, 2025, DOI:10.32604/cmc.2025.056400 - 17 February 2025

Abstract This study investigates the design and implementation of Flying Ad Hoc Networks (FANETs), a network architecture inspired by the Mobile Ad Hoc Network (MANET) model, specifically tailored to support unmanned aerial vehicles (UAVs). As UAVs increasingly contribute to diverse fields, from surveillance to delivery, FANETs have emerged as essential in ensuring stable, dynamic communication channels among drones in flight. This research adopts a dual approach, combining rigorous theoretical analysis with detailed practical simulations to assess the performance, adaptability, and efficiency of FANETs in varying conditions. The findings emphasize the ability of FANETs to manage network congestion effectively… More >

GAMALELDIN I. HARISA^1,*, RIYAD F. ALZHRANI¹, ABDULRAHMAN A. ALLUHAIDAN¹, SULTAN M. ALAMRI¹, AHMED H. BAKHEIT², HANADI H. ASIRI², SABRY M. ATTIA³

Oncology Research, Vol.33, No.2, pp. 477-492, 2025, DOI:10.32604/or.2024.053337 - 16 January 2025

Abstract Background: Hepatocellular carcinoma (HCC) is a health problem due to multi-drug resistance (MDR). Codelivery of multiple oncotherapy in one cargo as chimeric cancer therapy (CCT) is suggested as a solution for MDR. This study aims to engineer chitosan-coated nanostructure lipid carriers (NLCs) loaded with gefitinib (GF) and simvastatin (SV) as CCT for HCC. Methods: Both GF and SV-loaded nanostructure lipids carriers (GFSVNLC) and chitosan-capped GF and SV-loaded nanostructure lipids carriers (CGFSVNLC) formulations were assembled by top-down techniques. Moreover, particle size (PS), zeta potential (ZP), and polydispersity index (PDI) were measured by Zetasizer. The biosafety of… More > Graphic Abstract

Jianxin Feng^*, Jianhao Zhang, Ge Cao, Zhiguo Liu, Yuanming Ding

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1049-1068, 2025, DOI:10.32604/cmc.2024.058374 - 03 January 2025

Abstract Multivariate time series forecasting is widely used in traffic planning, weather forecasting, and energy consumption. Series decomposition algorithms can help models better understand the underlying patterns of the original series to improve the forecasting accuracy of multivariate time series. However, the decomposition kernel of previous decomposition-based models is fixed, and these models have not considered the differences in frequency fluctuations between components. These problems make it difficult to analyze the intricate temporal variations of real-world time series. In this paper, we propose a series decomposition-based Mamba model, DecMamba, to obtain the intricate temporal dependencies and… More >

Li Ma¹, Cai Dai^1,*, Xingsi Xue², Cheng Peng³

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 997-1026, 2025, DOI:10.32604/cmc.2024.057168 - 03 January 2025

Abstract The multi-objective particle swarm optimization algorithm (MOPSO) is widely used to solve multi-objective optimization problems. In the article, a multi-objective particle swarm optimization algorithm based on decomposition and multi-selection strategy is proposed to improve the search efficiency. First, two update strategies based on decomposition are used to update the evolving population and external archive, respectively. Second, a multi-selection strategy is designed. The first strategy is for the subspace without a non-dominated solution. Among the neighbor particles, the particle with the smallest penalty-based boundary intersection value is selected as the global optimal solution and the particle… More >

Hongliang Hao¹, Caifeng Wen^2,3, Feifei Xue^2,*, Hao Qiu¹, Ning Yang², Yuwen Zhang¹, Chaoyu Wang¹, Edwin E. Nyakilla¹

Energy Engineering, Vol.122, No.1, pp. 285-306, 2025, DOI:10.32604/ee.2024.057720 - 27 December 2024

Abstract Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources. This paper proposes a wind-solar hybrid energy storage system (HESS) to ensure a stable supply grid for a longer period. A multi-objective genetic algorithm (MOGA) and state of charge (SOC) region division for the batteries are introduced to solve the objective function and configuration of the system capacity, respectively. MATLAB/Simulink was used for simulation test. The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system, with a combination of a 300 More >

Liyao Yang¹, Hongyan Ma^1,2,3,*, Yingda Zhang¹, Wei He¹

Energy Engineering, Vol.122, No.1, pp. 243-264, 2025, DOI:10.32604/ee.2024.057500 - 27 December 2024

Abstract Accurately estimating the State of Health (SOH) and Remaining Useful Life (RUL) of lithium-ion batteries (LIBs) is crucial for the continuous and stable operation of battery management systems. However, due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance, direct measurement of SOH and RUL is challenging. To address these issues, the Twin Support Vector Machine (TWSVM) method is proposed to predict SOH and RUL. Initially, the constant current charging time of the lithium battery is extracted as a health indicator (HI), decomposed using Variational Modal Decomposition (VMD), and… More >