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  • Open Access

    ARTICLE

    Chitosan capped-NLCs enhanced codelivery of gefitinib and simvastatin into MDR HCC: impact of compositions on cell death, JNK3, and Telomerase

    GAMALELDIN I. HARISA1,*, 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

    Chitosan capped-NLCs enhanced codelivery of gefitinib and simvastatin into MDR HCC: impact of compositions on cell death, JNK3, and Telomerase

  • Open Access

    ARTICLE

    DecMamba: Mamba Utilizing Series Decomposition for Multivariate Time Series Forecasting

    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 >

  • Open Access

    ARTICLE

    A Multi-Objective Particle Swarm Optimization Algorithm Based on Decomposition and Multi-Selection Strategy

    Li Ma1, Cai Dai1,*, 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 >

  • Open Access

    ARTICLE

    Recent Advancements in the Optimization Capacity Configuration and Coordination Operation Strategy of Wind-Solar Hybrid Storage System

    Hongliang Hao1, Caifeng Wen2,3, Feifei Xue2,*, 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 >

  • Open Access

    ARTICLE

    Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

    Liyao Yang1, Hongyan Ma1,2,3,*, 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 >

  • Open Access

    ARTICLE

    Coordinated Control Strategy of New Energy Power Generation System with Hybrid Energy Storage Unit

    Yun Zhang1,*, Zifen Han2, Biao Tian1, Ning Chen2, Yi Fan3

    Energy Engineering, Vol.122, No.1, pp. 167-184, 2025, DOI:10.32604/ee.2024.056190 - 27 December 2024

    Abstract The new energy power generation is becoming increasingly important in the power system. Such as photovoltaic power generation has become a research hotspot, however, due to the characteristics of light radiation changes, photovoltaic power generation is unstable and random, resulting in a low utilization rate and directly affecting the stability of the power grid. To solve this problem, this paper proposes a coordinated control strategy for a new energy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage unit. Firstly, the variational mode decomposition algorithm is… More >

  • Open Access

    ARTICLE

    Phenotyping of Quinoa (Chenopodium quinoa Willd.) Genotypes for Morphological, Yield and Nutritional Quality Traits

    Jannatul Naim1, Sheikh Mahfuja Khatun1, Biswajit Das1, Mumtarin Haque Mim1,2, Sadia Akter1, Masudur Reza Shakil3, Habibul Bari Shozib4, Kristina Toderich5, Mohammad Anwar Hossain1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3443-3463, 2024, DOI:10.32604/phyton.2024.058786 - 31 December 2024

    Abstract Quinoa (Chenopodium quinoa Willd.) is regarded as a superfood due to its exceptionally high nutritional value and ability to withstand stress. Six quinoa genotypes (viz., SAU Quinoa-1, Regalona, GPBQ-1, GPBQ-2, GPBQ-3, and GPBQ-4) were characterized for morphological, yield, and nutritional quality attributes while being grown under the agro-climatic conditions of Bangladesh. The field experiment was carried out in the winter season (November 2022–March 2023) at the Agronomy Field Laboratory of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh, using a randomized complete block design with three replications. Data on various qualitative and quantitative traits related to… More >

  • Open Access

    ARTICLE

    Improving Okra Performance: Biostimulants and their Influence on Yield, Quality, Physiology, and Nutrient Composition

    Qurat-Ul-Ain Raza1,2, Abdur Rehim1,*, Muhammad Amjad Bashir1,3,*, Mingzheng Duan4, Yucong Geng3, Abdulwahed Fahad Alrefaei5

    Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3531-3548, 2024, DOI:10.32604/phyton.2024.057356 - 31 December 2024

    Abstract Chemical fertilizers have contributed to improving crop production and coping with food safety challenges, but their excessive application in agriculture has resulted in soil and environmental problems. The present study was performed to assess the potential of biostimulants as an alternative to chemical fertilizers. A pot experiment was conducted to examine the response of okra against different biostimulants, including glycine (G.L.), lysine (L.Y.), aspartic acid (A.A.), vitamin B complex (V.B.), and chemical fertilizers (control; C.K.). The results revealed that G.L. and V.B. significantly improved chlorophyll a (12.51%) and chlorophyll b (7.14%) contents in okra… More >

  • Open Access

    ARTICLE

    Improvement of the Birch Outer Bark Plywood Binder: The Impact of the Bark Fractional Composition and the Binder Preparation Methodology

    Rūdolfs Bērziņš*, Aigars Pāže, Guntis Sosins, Daniela Godiņa, Laima Vēvere, Jānis Rižikovs

    Journal of Renewable Materials, Vol.12, No.12, pp. 2095-2113, 2024, DOI:10.32604/jrm.2024.056769 - 20 December 2024

    Abstract Birch outer bark (BOB) from Betula pendula Roth. is a unique and valuable biomass feedstock that contains suberin. The biopolyester suberin is built from bifunctional fatty acids-suberinic acids (SA)-which can be obtained through a depolymerization process in an alkaline medium and used as a binder due to their adhesive properties. The aim of this study was to develop the SA-containing binder and identify suitable pressing conditions to produce plywood that meets the shear strength requirements of the EN 314-2 standard 3rd moisture resistance class for bonding quality, ensuring durability in unprotected exterior conditions (shear strength ≥… More > Graphic Abstract

    Improvement of the Birch Outer Bark Plywood Binder: The Impact of the Bark Fractional Composition and the Binder Preparation Methodology

  • Open Access

    ARTICLE

    A Combined Method of Temporal Convolutional Mechanism and Wavelet Decomposition for State Estimation of Photovoltaic Power Plants

    Shaoxiong Wu1, Ruoxin Li1, Xiaofeng Tao1, Hailong Wu1,*, Ping Miao1, Yang Lu1, Yanyan Lu1, Qi Liu2, Li Pan2

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3063-3077, 2024, DOI:10.32604/cmc.2024.055381 - 18 November 2024

    Abstract Time series prediction has always been an important problem in the field of machine learning. Among them, power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulating their control strategies. Traditional power load forecasting often has poor feature extraction performance for long time series. In this paper, a new deep learning framework Residual Stacked Temporal Long Short-Term Memory (RST-LSTM) is proposed, which combines wavelet decomposition and time convolutional memory network to solve the problem of feature extraction for long sequences. The network framework of RST-LSTM consists of two More >

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