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  • Open Access

    REVIEW

    Towards Innovative Research Approaches to Investigating the Role of Emotional Variables in Promoting Language Teachers’ and Learners’ Mental Health

    Ali Derakhshan1, Yongliang Wang2,*, Yongxiang Wang2,*, José Luis Ortega-Martín3

    International Journal of Mental Health Promotion, Vol.25, No.7, pp. 823-832, 2023, DOI:10.32604/ijmhp.2023.029877

    Abstract The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process. Simply said, emotional factors play a key role in improving the quality of language teaching and learning. Furthermore, these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition. In view of the favorable impact of emotional factors on the mental health of language teachers and learners, many educational scholars around the world have studied these factors, their background, and their pedagogical consequences. Nonetheless,… More >

  • Open Access

    ARTICLE

    Hydrolysable Chestnut Tannin Extract Chemical Complexity in Its Reactions for Non-Isocyanate Polyurethanes (NIPU) Foams

    Elham Azadeh1, Antonio Pizzi1,2,*, Christine Gerardin-Charbonnier1,*, Philippe Gerardin1

    Journal of Renewable Materials, Vol.11, No.6, pp. 2823-2848, 2023, DOI:10.32604/jrm.2023.027651

    Abstract Non-isocyanate polyurethane (NIPU) foams from a commercial hydrolysable tannin extract, chestnut wood tannin extract, have been prepared to determine what chemical species and products are taking part in the reactions involved. This method is based on two main steps: the reaction with dimethyl carbonate and the formation of urethane bonds by further reaction of the carbonated tannin with a diamine-like hexamethylene diamine. The hydroxyl groups on the tannin polyphenols and on the carbohydrates intimately linked with it and part of a hydrolysable tannin are the groups involved in these reactions. The carbohydrate skeleton of the… More > Graphic Abstract

    Hydrolysable Chestnut Tannin Extract Chemical Complexity in Its  Reactions for Non-Isocyanate Polyurethanes (NIPU) Foams

  • Open Access

    ARTICLE

    Quality of Life in Congenital Heart Disease Patients According to Their Anatomical and Physiological Classification

    Efrén Martínez-Quintana1,2,*, Hiurma Estupiñán-León2, Ana Beatriz Rojas-Brito2, Liuva Déniz-Déniz2, Alejandro Barreto-Martín2, Fayna Rodríguez-González3

    Congenital Heart Disease, Vol.18, No.2, pp. 197-206, 2023, DOI:10.32604/CHD.2021.013308

    Abstract Background: Living well is as important as living longer. The objective of this study is to assess quality of life (QoL) in congenital heart disease (CHD) according to current AHA/ACC anatomical and physiological classifi- cation. Methods: Cross-sectional study examining the World Health Organization QoL Bref questionnaire (WHOQoL-Bref) in consecutive outpatient CHD patients from a single unit. Results: 191 CHD patients were studied. Median age was 28 ± 13 years and 59% were male. 44 (23%), 115 (60%) and 33 (17%) CHD patients showed mild, moderate and great anatomical defects respectively while 69 (36%) patients were in physiological… More >

  • Open Access

    ARTICLE

    Human Factors While Using Head-Up-Display in Low Visibility Flying Conditions

    Jhulan Kumar1,2, Surender Singh Saini1,2, Divya Agrawal1,2, Vinod Karar1,2,*, Aman Kataria2

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2411-2423, 2023, DOI:10.32604/iasc.2023.034203

    Abstract Flying an aircraft in low visibility is still a challenging task for the pilot. It requires precise and accurate situational awareness (SA) in real-time. A Head-up Display (HUD) is used to project collimated internal and external flight information on a transparent screen in the pilot’s forward field of view, which eliminates the change of eye position between Head-Down-Display (HDD) instruments and outer view through the windshield. Implementation of HUD increases the SA and reduces the workload for the pilot. But to provide a better flying capability for the pilot, projecting extensive information on HUD causes More >

  • Open Access

    ARTICLE

    Modified Elliptic Curve Cryptography Multi-Signature Scheme to Enhance Security in Cryptocurrency

    G. Uganya*, Radhika Baskar

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 641-658, 2023, DOI:10.32604/csse.2023.028341

    Abstract Internet of Things (IoT) is an emerging technology that moves the world in the direction of smart things. But, IoT security is the complex problem due to its centralized architecture, and limited capacity. So, blockchain technology has great attention due to its features of decentralized architecture, transparency, immutable records and cryptography hash functions when combining with IoT. Cryptography hash algorithms are very important in blockchain technology for secure transmission. It converts the variable size inputs to a fixed size hash output which is unchangeable. Existing cryptography hash algorithms with digital signature have issues of single… More >

  • Open Access

    ARTICLE

    A Component Selection Framework of Cohesion and Coupling Metrics

    Iyyappan. M1, Arvind Kumar1, Sultan Ahmad2,*, Sudan Jha3, Bader Alouffi4, Abdullah Alharbi5

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 351-365, 2023, DOI:10.32604/csse.2023.025163

    Abstract Component-based software engineering is concerned with the development of software that can satisfy the customer prerequisites through reuse or independent development. Coupling and cohesion measurements are primarily used to analyse the better software design quality, increase the reliability and reduced system software complexity. The complexity measurement of cohesion and coupling component to analyze the relationship between the component module. In this paper, proposed the component selection framework of Hexa-oval optimization algorithm for selecting the suitable components from the repository. It measures the interface density modules of coupling and cohesion in a modular software system. This More >

  • Open Access

    ARTICLE

    A Novel Integrated Learning Scheme for Predictive Diagnosis of Critical Care Patient

    Sarika R. Khope1, Susan Elias2,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 2333-2350, 2022, DOI:10.32604/cmc.2022.029423

    Abstract Machine learning has proven to be one of the efficient solutions for analyzing complex data to perform identification and classification. With a large number of learning tools and techniques, the health section has significantly benefited from solving the diagnosis problems. This paper has reviewed some of the recent scientific implementations on learning-based schemes to find that existing studies of learning have mainly focused on predictive analysis with less emphasis on preprocessing and more inclination towards adopting sophisticated learning schemes that offer higher accuracy at the cost of the higher computational burden. Therefore, the proposed method… More >

  • Open Access

    ARTICLE

    Fast CU Partition for VVC Using Texture Complexity Classification Convolutional Neural Network

    Yue Zhang1,3,4, Pengyu Liu1,2,3,4,*, Xiaowei Jia5, Shanji Chen2, Tianyu Liu1,3,4, Chang Liu1,3,4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3545-3556, 2022, DOI:10.32604/cmc.2022.028226

    Abstract Versatile video coding (H.266/VVC), which was newly released by the Joint Video Exploration Team (JVET), introduces quad-tree plus multi-type tree (QTMT) partition structure on the basis of quad-tree (QT) partition structure in High Efficiency Video Coding (H.265/HEVC). More complicated coding unit (CU) partitioning processes in H.266/VVC significantly improve video compression efficiency, but greatly increase the computational complexity compared. The ultra-high encoding complexity has obstructed its real-time applications. In order to solve this problem, a CU partition algorithm using convolutional neural network (CNN) is proposed in this paper to speed up the H.266/VVC CU partition process. More >

  • Open Access

    ARTICLE

    TP-MobNet: A Two-pass Mobile Network for Low-complexity Classification of Acoustic Scene

    Soonshin Seo1, Junseok Oh2, Eunsoo Cho2, Hosung Park2, Gyujin Kim2, Ji-Hwan Kim2,*

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3291-3303, 2022, DOI:10.32604/cmc.2022.026259

    Abstract Acoustic scene classification (ASC) is a method of recognizing and classifying environments that employ acoustic signals. Various ASC approaches based on deep learning have been developed, with convolutional neural networks (CNNs) proving to be the most reliable and commonly utilized in ASC systems due to their suitability for constructing lightweight models. When using ASC systems in the real world, model complexity and device robustness are essential considerations. In this paper, we propose a two-pass mobile network for low-complexity classification of the acoustic scene, named TP-MobNet. With inverse residuals and linear bottlenecks, TP-MobNet is based on… More >

  • Open Access

    ARTICLE

    Cell bioenergetics: Simple logics, complex solution

    LUIS S. MAYORGA*

    BIOCELL, Vol.46, No.10, pp. 2217-2220, 2022, DOI:10.32604/biocell.2022.020806

    Abstract Cells are open systems that exchange energy and molecules with their environment. As any material system, they perform all the complex activities required for homeostasis and reproduction, obeying the thermodynamic laws. This viewpoint will argue that the basic logic governing the energy flux required to preserve cell organization and function is simple: to decrease the activation energy (Ea) of specific processes. Almost none of the possible chemical reactions and energy transformations inside a cell occur at a measurable speed at room or body temperature. Enzymes or other macromolecular structures speed up particular transformations by decreasing More >

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