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  • Open Access

    ARTICLE

    Parental Psychological Control and Internet Gaming Disorder Tendency: A Moderated Mediation Model of Core Self-Evaluation and Intentional Self-Regulation

    Zhiqiao Ji1,2, Shuhua Wei1,*, Hejuan Ding1

    International Journal of Mental Health Promotion, Vol.26, No.7, pp. 547-558, 2024, DOI:10.32604/ijmhp.2024.049867

    Abstract Internet gaming disorder (IGD) among junior high school students is an increasingly prominent mental health concern. It is important to look for influences behind internet gaming disorder tendency (IGDT) in the junior high school student population. The present study aimed to reveal the explanatory mechanisms underlying the association between parental psychological control (PPC) and internet gaming disorder tendency among junior high school students by testing the mediating role of core self-evaluation (CSE) and the moderating role of intentional self-regulation (ISR). Participants in present study were 735 Chinese junior high school students who completed offline self-report… More >

  • Open Access

    REVIEW

    Z-Score in Fetal Echocardiography–Is there Still Room for New Studies?

    Marcio Fragoso Vieira1,2, Nathalie Jeanne Bravo-Valenzuela3, Edward Araujo Júnior1,*

    Congenital Heart Disease, Vol.19, No.3, pp. 305-314, 2024, DOI:10.32604/chd.2024.053484

    Abstract Congenital heart disease (CHD) is the most common type of birth defect, representing a significant cause of perinatal morbidity and mortality. Early diagnosis of such anomalies is crucial for improving outcomes. Current protocols recommend a qualitative assessment of cardiac structures using two-dimensional ultrasound (2DUS) and color Doppler imaging. In cases of suspected abnormalities, quantitative assessments through cardiac structure measurements and reference curves can aid in accurate diagnosis. Similar to centiles widely employed in obstetrics, Z-scores provide more precise quantification of various cardiac structures, particularly at the extremes of the curve. While the development of reference More >

  • Open Access

    ARTICLE

    Investigation of the Damping Abilities of Sheep Wool Reinforced Expanded Polystyrene Core Layer Composites at Different Energies

    İbrahim Yavuz1,*, Ercan Şimşir1, Kenan Budak2

    Journal of Polymer Materials, Vol.41, No.1, pp. 1-14, 2024, DOI:10.32604/jpm.2024.052279

    Abstract In this study, natural fiber reinforced polymer foam core layered composites were produced for the automotive industry. Sheep wool was used as natural fiber. Polymer foam with a single layer XPS foam structure was used as the core material. XPS foams and fibers are bonded to the upper and lower sides of the foams with the help of resin. Samples were produced with one and two layers on both sides, with a total of two and four layers. Production was carried out using the vacuum bagging method using the manual laying method. After the production More >

  • Open Access

    ARTICLE

    A Harmonic Approach to Handwriting Style Synthesis Using Deep Learning

    Mahatir Ahmed Tusher1, Saket Choudary Kongara1, Sagar Dhanraj Pande2, SeongKi Kim3,*, Salil Bharany4,*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4063-4080, 2024, DOI:10.32604/cmc.2024.049007

    Abstract The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting. The majority of currently available methods use either a generative adversarial network (GAN) or a recurrent neural network (RNN) to generate new handwriting styles. This is why these techniques frequently fall short of producing diverse and realistic text pictures, particularly for terms that are not commonly used. To resolve that, this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting styles. This network excels in generating conditional… More >

  • Open Access

    ARTICLE

    Fabrication of Core-Shell Hydrogel Bead Based on Sodium Alginate and Chitosan for Methylene Blue Adsorption

    Xiaoyu Chen*

    Journal of Renewable Materials, Vol.12, No.4, pp. 815-826, 2024, DOI:10.32604/jrm.2024.048470

    Abstract A novel core-shell hydrogel bead was fabricated for effective removal of methylene blue dye from aqueous solutions. The core, made of sodium alginate-g-polyacrylamide and attapulgite nanofibers, was cross-linked by Calcium ions (Ca). The shell, composed of a chitosan/activated carbon mixture, was then coated onto the core. Fourier transform infrared spectroscopy confirmed the grafting polymerization of acrylamide onto sodium alginate. Scanning electron microscopy images showed the core-shell structure. The core exhibited a high water uptake ratio, facilitating the diffusion of methylene blue into the core. During the diffusion process, the methylene blue was first adsorbed by More > Graphic Abstract

    Fabrication of Core-Shell Hydrogel Bead Based on Sodium Alginate and Chitosan for Methylene Blue Adsorption

  • Open Access

    ARTICLE

    Performance Enhancement of XML Parsing Using Regression and Parallelism

    Muhammad Ali, Minhaj Ahmad Khan*

    Computer Systems Science and Engineering, Vol.48, No.2, pp. 287-303, 2024, DOI:10.32604/csse.2023.043010

    Abstract The Extensible Markup Language (XML) files, widely used for storing and exchanging information on the web require efficient parsing mechanisms to improve the performance of the applications. With the existing Document Object Model (DOM) based parsing, the performance degrades due to sequential processing and large memory requirements, thereby requiring an efficient XML parser to mitigate these issues. In this paper, we propose a Parallel XML Tree Generator (PXTG) algorithm for accelerating the parsing of XML files and a Regression-based XML Parsing Framework (RXPF) that analyzes and predicts performance through profiling, regression, and code generation for… More >

  • Open Access

    ARTICLE

    Morphometry and Mineral Content in the Seeds and Soil of Two Species of Argemone L. (Papaveraceae) in the Central Part of the Chihuahuan Desert

    Perla Patricia Ochoa-García1, Jaime Sánchez-Salas2, Ricardo Trejo-Calzada1, Jesús Josafath Quezada-Rivera2, Fabián García-González1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.2, pp. 371-386, 2024, DOI:10.32604/phyton.2024.048338

    Abstract The genus Argemone L. (Papaveraceae) is found widely distributed in Mexico’s Chihuahuan Desert (CD). Some species of this genus are of phytochemical or ethnobotanical interest. They are inedible plants considered as scrubs. To date they have not been broadly studied; thus, their ecology is, to our knowledge, unknown. The present work was centered around carrying out a morphometric analysis and the determination of minerals in the soil and seeds of the wild populations of Argemone at sites belonging to two ecoregions of the CD in Mexico. In April 2021 and April 2022, seeds of Argemone spp., and… More >

  • Open Access

    ARTICLE

    C-CORE: Clustering by Code Representation to Prioritize Test Cases in Compiler Testing

    Wei Zhou1, Xincong Jiang2,*, Chuan Qin2

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 2069-2093, 2024, DOI:10.32604/cmes.2023.043248

    Abstract Edge devices, due to their limited computational and storage resources, often require the use of compilers for program optimization. Therefore, ensuring the security and reliability of these compilers is of paramount importance in the emerging field of edge AI. One widely used testing method for this purpose is fuzz testing, which detects bugs by inputting random test cases into the target program. However, this process consumes significant time and resources. To improve the efficiency of compiler fuzz testing, it is common practice to utilize test case prioritization techniques. Some researchers use machine learning to predict… More >

  • Open Access

    ARTICLE

    Improving Federated Learning through Abnormal Client Detection and Incentive

    Hongle Guo1,2, Yingchi Mao1,2,*, Xiaoming He1,2, Benteng Zhang1,2, Tianfu Pang1,2, Ping Ping1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 383-403, 2024, DOI:10.32604/cmes.2023.031466

    Abstract Data sharing and privacy protection are made possible by federated learning, which allows for continuous model parameter sharing between several clients and a central server. Multiple reliable and high-quality clients must participate in practical applications for the federated learning global model to be accurate, but because the clients are independent, the central server cannot fully control their behavior. The central server has no way of knowing the correctness of the model parameters provided by each client in this round, so clients may purposefully or unwittingly submit anomalous data, leading to abnormal behavior, such as becoming… More >

  • Open Access

    ARTICLE

    Optimization Algorithms of PERT/CPM Network Diagrams in Linear Diophantine Fuzzy Environment

    Mani Parimala1, Karthikeyan Prakash1, Ashraf Al-Quran2,*, Muhammad Riaz3, Saeid Jafari4

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 1095-1118, 2024, DOI:10.32604/cmes.2023.031193

    Abstract The idea of linear Diophantine fuzzy set (LDFS) theory with its control parameters is a strong model for machine learning and optimization under uncertainty. The activity times in the critical path method (CPM) representation procedures approach are initially static, but in the Project Evaluation and Review Technique (PERT) approach, they are probabilistic. This study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy (LDF) environment. The LDF expected task time, LDF variance, LDF critical path, and LDF total expected time for determining the project network… More > Graphic Abstract

    Optimization Algorithms of PERT/CPM Network Diagrams in Linear Diophantine Fuzzy Environment

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