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  • Open Access

    ARTICLE

    A Color Image Encryption Scheme Based on Singular Values and Chaos

    Adnan Malik1, Muhammad Ali1, Faisal S. Alsubaei2, Nisar Ahmed3,*, Harish Kumar4

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 965-999, 2023, DOI:10.32604/cmes.2023.022493

    Abstract The security of digital images transmitted via the Internet or other public media is of the utmost importance. Image encryption is a method of keeping an image secure while it travels across a non-secure communication medium where it could be intercepted by unauthorized entities. This study provides an approach to color image encryption that could find practical use in various contexts. The proposed method, which combines four chaotic systems, employs singular value decomposition and a chaotic sequence, making it both secure and compression-friendly. The unified average change intensity, the number of pixels’ change rate, information entropy analysis, correlation coefficient analysis,… More >

  • Open Access

    ARTICLE

    Impact of ZnSO and ZnO Nanoparticles on Seed Germination and Seedling Growth of Lettuce

    Adalberto Benavides-Mendoza1, Rebeca Betancourt-Galindo2, Nazario Francisco-Francisco3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1831-1840, 2023, DOI:10.32604/phyton.2023.028085

    Abstract

    Micronutrient nanoparticles (NPs) are currently an option for chemical fertilization and biostimulation in crops. However, there is little information on the phytotoxic or biostimulatory effects of NPs at low concentrations of some elements, such as Zn. In this study, the effect of low concentrations of Zn oxide (ZnO) NPs on germination, growth variables, and nutritional attributes of lettuce (Lactuca sativa L.) was evaluated in comparison to Zn sulfate. Romaine lettuce seeds were treated with ZnSO4-- × 7H2O and ZnO NPs at Zn molar concentrations of 1 × 10−3, 5 × 10−3, 1 × 10−4, 5 × 10−4, 1… More >

  • Open Access

    ARTICLE

    Expression and function of long non-coding RNA DLX6-AS1 in endometrial cancer

    WEI SHI1,2,3,#, JIANXIA LIN1,2,3,#, RONG JIN1,2,3, XIANJING XIE1,2,3, YAN LIANG1,2,3,*

    BIOCELL, Vol.47, No.4, pp. 869-877, 2023, DOI:10.32604/biocell.2023.026037

    Abstract Background: LncRNA DLX6-AS1 has been uncovered to exert effects on various cancers. Nevertheless, the impacts of DLX6-AS1 on endometrial cancer (EC) development remained obscure. The study explored the influence of DLX6-AS1 on EC progression via the microRNA (miR)-374a-3p/zinc-finger protein (ZFX) axis.Methods: EC cell lines were collected and DLX6-AS1, miR-374a-3p, and ZFX levels in EC cell lines were detected. The EC cells were transfected with DLX6-AS1, miR-374a-3p, and ZFX constructs to examine the biological functions of EC cells. The xenograft model was established for detecting tumor growth. Rescue experiments were conducted to verify the interaction of DLX6-AS1, miR-374a-3p, and ZFX in… More > Graphic Abstract

    Expression and function of long non-coding RNA DLX6-AS1 in endometrial cancer

  • Open Access

    ARTICLE

    The Relationship between Mental Health Literacy and Subjective Well-Being of Young and Middle-Aged Residents: Perceived the Mediating Role of Social Support and Its Urban-Rural Differences

    Zhen Zhang, Suyan Chen*, Xiaoxuan Wang, Jun Liu, Yilin Zhang, Yongxia Mei, Zhenxiang Zhang

    International Journal of Mental Health Promotion, Vol.25, No.4, pp. 471-483, 2023, DOI:10.32604/ijmhp.2022.024918

    Abstract This study investigates mental health literacy among young and middle-aged urban and rural residents and the differences in mental health literacy, perceived social support and subjective well-being. From January to February 2022, 620 participants (320 rural and 300 urban residents) from three provinces of China were selected by convenience sampling. A general data questionnaire, mental health literacy scale, perceived social support scale and subjective well-being scale were administered. The mental health literacy scores of urban residents were 3.34 ± 0.57 and those of rural residents were 2.73 ± 0.79. The results of multiple regression analysis showed that the mental health… More >

  • Open Access

    ARTICLE

    Can Social Support be Protective against Depressive Symptoms in Adolescents from 24 Low- and Middle-Income Countries?

    Haowen Wu1, Zhanli Yi1, Tianyou Guo2,*

    International Journal of Mental Health Promotion, Vol.25, No.3, pp. 375-387, 2023, DOI:10.32604/ijmhp.2022.021505

    Abstract Background: Adolescents are highly vulnerable to depressive symptoms worldwide partially because of limited social supports. However, it still remains largely unknown regarding the associations between social support(s) and depressive symptoms among adolescents living in low- and middle-income countries (LMICs). The aim of this study aimed to explore the associations between different types of social support and depressive symptoms in adolescents from LMICs. Methods: Data were retrieved from the Global School-based Health Survey (GSHS) in which 92,551 adolescents (50.6% females) were included with mean of 15.6 years. Depressive symptoms in the past one month as the dependent variable were measured in… More >

  • Open Access

    ARTICLE

    Wind Turbine Spindle Operating State Recognition and Early Warning Driven by SCADA Data

    Yuhan Liu, Yuqiao Zheng*, Zhuang Ma, Cang Wu

    Energy Engineering, Vol.120, No.5, pp. 1223-1237, 2023, DOI:10.32604/ee.2023.026329

    Abstract An operating condition recognition approach of wind turbine spindle is proposed based on supervisory control and data acquisition (SCADA) normal data drive. Firstly, the SCADA raw data of wind turbine under full working conditions are cleaned and feature extracted. Then the spindle speed is employed as the output parameter, and the single and combined normal behavior model of the wind turbine spindle is constructed sequentially with the pre-processed data, with the evaluation indexes selected as the optimal model. Finally, calculating the spindle operation status index according to the sliding window principle, ascertaining the threshold value for identifying the abnormal spindle… More >

  • Open Access

    ARTICLE

    Preparation of Phase Change Concrete Using Environmentally Friendly Materials and Its Performance Study

    Yunfeng Li1,#, Cheng Zhao2,#, Qianqian Lu2,*

    Journal of Renewable Materials, Vol.11, No.5, pp. 2417-2431, 2023, DOI:10.32604/jrm.2023.025443

    Abstract The control of carbon emissions and energy conservation, and environmental protection are hot spots of global concern. In this paper, phase change paraffin wax is applied to porous materials for adsorption and storage, and nature’s eco-friendly materials are selected as the porous matrix to propose an eco-friendly phase change concrete using eco-friendly materials as raw materials. It was obtained that the strength of the phase change concrete utilizing environmentally friendly materials was 25.4% to 36.8% lower than that of ordinary concrete, while some of the phase change light aggregates were found to produce slip damage with the cement paste in… More >

  • Open Access

    ARTICLE

    Diagnosis of Middle Ear Diseases Based on Convolutional Neural Network

    Yunyoung Nam1, Seong Jun Choi2, Jihwan Shin1, Jinseok Lee3,*

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1521-1532, 2023, DOI:10.32604/csse.2023.034192

    Abstract An otoscope is traditionally used to examine the eardrum and ear canal. A diagnosis of otitis media (OM) relies on the experience of clinicians. If an examiner lacks experience, the examination may be difficult and time-consuming. This paper presents an ear disease classification method using middle ear images based on a convolutional neural network (CNN). Especially the segmentation and classification networks are used to classify an otoscopic image into six classes: normal, acute otitis media (AOM), otitis media with effusion (OME), chronic otitis media (COM), congenital cholesteatoma (CC) and traumatic perforations (TMPs). The Mask R-CNN is utilized for the segmentation… More >

  • Open Access

    ARTICLE

    SiamDLA: Dynamic Label Assignment for Siamese Visual Tracking

    Yannan Cai, Ke Tan, Zhenzhong Wei*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1621-1640, 2023, DOI:10.32604/cmc.2023.036177

    Abstract Label assignment refers to determining positive/negative labels for each sample to supervise the training process. Existing Siamese-based trackers primarily use fixed label assignment strategies according to human prior knowledge; thus, they can be sensitive to predefined hyperparameters and fail to fit the spatial and scale variations of samples. In this study, we first develop a novel dynamic label assignment (DLA) module to handle the diverse data distributions and adaptively distinguish the foreground from the background based on the statistical characteristics of the target in visual object tracking. The core of DLA module is a two-step selection mechanism. The first step… More >

  • Open Access

    ARTICLE

    Firefly-CDDL: A Firefly-Based Algorithm for Cyberbullying Detection Based on Deep Learning

    Monirah Al-Ajlan*, Mourad Ykhlef

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 19-34, 2023, DOI:10.32604/cmc.2023.033753

    Abstract There are several ethical issues that have arisen in recent years due to the ubiquity of the Internet and the popularity of social media and community platforms. Among them is cyberbullying, which is defined as any violent intentional action that is repeatedly conducted by individuals or groups using online channels against victims who are not able to react effectively. An alarmingly high percentage of people, especially teenagers, have reported being cyberbullied in recent years. A variety of approaches have been developed to detect cyberbullying, but they require time-consuming feature extraction and selection processes. Moreover, no approach to date has examined… More >

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