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  • Open Access


    Effects of Manganese on the Antioxidant System and Related Gene Expression Levels in the “Hong Yang” Kiwifruit Seedlings

    Chongpei Zheng1, Liangliang Li2, Zhencheng Han2, Weijie Li2,*, Xiaopeng Wen1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2399-2412, 2023, DOI:10.32604/phyton.2023.029891


    To explore how manganese affects the antioxidant system and the expression levels of related genes of “Hong yang” seedlings, the leaves of its tissue cultured seedlings were taken as test materials, and single factor treatment was performed by changing the manganese chloride (MnCl2.4H2O) solution concentration when spraying the leaves. The expression levels of Mn-SOD, POD64 and POD27 genes in leaves were quantitatively analyzed by real-time quantitative PCR (qRT-PCR) at different determination times. Meanwhile, the contents of malondialdehyde (MDA), hydrogen peroxide (H2O2), the activities of antioxidant enzymes, including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD). The results showed… More >

  • Open Access


    DeepGan-Privacy Preserving of HealthCare System Using DL

    Sultan Mesfer Aldossary*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2199-2212, 2023, DOI:10.32604/iasc.2023.038243

    Abstract The challenge of encrypting sensitive information of a medical image in a healthcare system is still one that requires a high level of computing complexity, despite the ongoing development of cryptography. After looking through the previous research, it has become clear that the security issues still need to be looked into further because there is room for expansion in the research field. Recently, neural networks have emerged as a cost-effective and effective optimization strategy in terms of providing security for images. This revelation came about as a result of current developments. Nevertheless, such an implementation is a technique that is… More >

  • Open Access


    A Novel Fuzzy Inference System-Based Endmember Extraction in Hyperspectral Images

    M. R. Vimala Devi, S. Kalaivani*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2459-2476, 2023, DOI:10.32604/iasc.2023.038183

    Abstract Spectral unmixing helps to identify different components present in the spectral mixtures which occur in the uppermost layer of the area owing to the low spatial resolution of hyperspectral images. Most spectral unmixing methods are globally based and do not consider the spectral variability among its endmembers that occur due to illumination, atmospheric, and environmental conditions. Here, endmember bundle extraction plays a major role in overcoming the above-mentioned limitations leading to more accurate abundance fractions. Accordingly, a two-stage approach is proposed to extract endmembers through endmember bundles in hyperspectral images. The divide and conquer method is applied as the first… More >

  • Open Access



    Xiaolei Denga,b,c,*, Jin Wangd , Hongcheng Shena, Jinyu Zhoua, Jianchen Wanga,c, Changxiong Xiea, Jianzhong Fub

    Frontiers in Heat and Mass Transfer, Vol.13, pp. 1-6, 2019, DOI:10.5098/hmt.13.13

    Abstract A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal topology optimization for spindle structure… More >

  • Open Access


    Effect of PEG Incorporation on Physicochemical and in vitro Degradation of PLLA/PDLLA Blends: Application in Biodegradable Implants

    Mochamad Chalid1,*, Gifrandy Gustiraharjo1, Azizah Intan Pangesty1, Alyssa Adyandra1, Yudan Whulanza2, Sugeng Supriadi2

    Journal of Renewable Materials, Vol.11, No.7, pp. 3043-3056, 2023, DOI:10.32604/jrm.2023.026788

    Abstract Polyethylene glycol (PEG) was added at different concentrations to the blend of poly(L-lactic acid) (PLLA) and poly(D,L-lactic acid)(PDLLA) to tailor the properties. The differential scanning calorimetry (DSC) measurement showed that all blends were miscible due to shifting a single glass transition temperature into a lower temperature for increasing PEG content. The DSC, FTIR, and XRD results implied the crystallinity enhancement for PEG content until 8 wt%, then decreased at 12 wt% PEG. The XRD result indicated the homo crystalline phase formation in all blends and no stereocomplex crystal. The in vitro degradation study indicated that PEG content is proportional to… More > Graphic Abstract

    Effect of PEG Incorporation on Physicochemical and <i>in vitro</i> Degradation of PLLA/PDLLA Blends: Application in Biodegradable Implants

  • Open Access


    MoGUS, un outil de modélisation et d’analyse comparative des trames urbaines

    Dominique Badariotti, Cyril Meyer, Yasmina Ramrani

    Revue Internationale de Géomatique, Vol.30, No.2, pp. 181-213, 2020, DOI:10.3166/rig.2021.00109

    Abstract In this paper, we propose a model and a methodology for the analysis of urban fabrics, sets of built morphological units articulated together by urban networks. The core of the paper presents the MoGUS model (Model Generator & analyser for Urban Simulation) and its formalization. This model jointly represents the buildings and the viaires networks of a city in a graph, and allows a comparative analysis of the properties of different urban fabrics, using derived indicators. A study plan applied to four types of archetypal urban fabrics (Hippodamean, medieval, radio-concentric, Haussmannic) generated with the MoGUS tool is presented to illustrate… More >

  • Open Access


    Intrusion Detection System Through Deep Learning in Routing MANET Networks

    Zainab Ali Abbood1,2,*, Doğu Çağdaş Atilla3,4, Çağatay Aydin5

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 269-281, 2023, DOI:10.32604/iasc.2023.035276

    Abstract Deep learning (DL) is a subdivision of machine learning (ML) that employs numerous algorithms, each of which provides various explanations of the data it consumes; mobile ad-hoc networks (MANET) are growing in prominence. For reasons including node mobility, due to MANET’s potential to provide small-cost solutions for real-world contact challenges, decentralized management, and restricted bandwidth, MANETs are more vulnerable to security threats. When protecting MANETs from attack, encryption and authentication schemes have their limits. However, deep learning (DL) approaches in intrusion detection systems (IDS) can adapt to the changing environment of MANETs and allow a system to make intrusion decisions… More >

  • Open Access


    Deep Learning ResNet101 Deep Features of Portable Chest X-Ray Accurately Classify COVID-19 Lung Infection

    Sobia Nawaz1, Sidra Rasheed2, Wania Sami3, Lal Hussain4,5,*, Amjad Aldweesh6,*, Elsayed Tag eldin7, Umair Ahmad Salaria8,9, Mohammad Shahbaz Khan10

    CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5213-5228, 2023, DOI:10.32604/cmc.2023.037543

    Abstract This study is designed to develop Artificial Intelligence (AI) based analysis tool that could accurately detect COVID-19 lung infections based on portable chest x-rays (CXRs). The frontline physicians and radiologists suffer from grand challenges for COVID-19 pandemic due to the suboptimal image quality and the large volume of CXRs. In this study, AI-based analysis tools were developed that can precisely classify COVID-19 lung infection. Publicly available datasets of COVID-19 (N = 1525), non-COVID-19 normal (N = 1525), viral pneumonia (N = 1342) and bacterial pneumonia (N = 2521) from the Italian Society of Medical and Interventional Radiology (SIRM), Radiopaedia, The… More >

  • Open Access


    Effect of Polyisobutylene Succinimide on the Physical Stability of an Environmentally Friendly Pesticide Oil Dispersion Suspension

    Liying Wang*, Junzhi Liu, Chong Gao, Xinxin Yan

    Journal of Renewable Materials, Vol.11, No.6, pp. 2679-2694, 2023, DOI:10.32604/jrm.2023.025569

    Abstract Oil dispersible suspension concentrates are safe, green, and environmentally friendly formulations. Problems such as layering, pasting, and bottoming are frequently encountered during the production, storage, and transportation process. Polyisobutylene succinimide functions as a dispersant and exhibits great potential to improve the physical stability of the oil dispersible suspension concentrate. From a microscopic perspective, the sorption characteristics of the polyisobutylene succinimide dispersant T151 on penoxsulam particle surfaces were comprehensively evaluated with XPS, FTIR, and SEM. The T151 adsorption procedure complied with a pseudo-second-order kinetic adsorption model, and it was a kind of physical sorption with an Ea of 22.57 kJ⋅mol−1. The T151… More > Graphic Abstract

    Effect of Polyisobutylene Succinimide on the Physical Stability of an Environmentally Friendly Pesticide Oil Dispersion Suspension

  • Open Access



    Linfang Fang, Fuyong Su* , Zhen Kang, Haojun Zhu

    Frontiers in Heat and Mass Transfer, Vol.20, pp. 1-9, 2023, DOI:10.5098/hmt.20.14

    Abstract Taking the ladle used by a factory as an example, a three-dimensional finite element model of the ladle was established, and the temperature distribution law of the lining during the ladle transportation was studied using the finite element analysis software ANSYS, which verified the good thermal insulation performance of the nano thermal insulation layer, and analyzed and compared the temperature and distribution law of the refractory lining under the two working conditions of the heavy ladle and the empty ladle. The results show that due to the change of the boundary conditions in the empty ladle state, the temperature change… More >

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