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  • Open Access

    ARTICLE

    Framework for a Computer-Aided Treatment Prediction (CATP) System for Breast Cancer

    Emad Abd Al Rahman1, Nur Intan Raihana Ruhaiyem1,*, Majed Bouchahma2, Kamarul Imran Musa3

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3007-3028, 2023, DOI:10.32604/iasc.2023.032580

    Abstract This study offers a framework for a breast cancer computer-aided treatment prediction (CATP) system. The rising death rate among women due to breast cancer is a worldwide health concern that can only be addressed by early diagnosis and frequent screening. Mammography has been the most utilized breast imaging technique to date. Radiologists have begun to use computer-aided detection and diagnosis (CAD) systems to improve the accuracy of breast cancer diagnosis by minimizing human errors. Despite the progress of artificial intelligence (AI) in the medical field, this study indicates that systems that can anticipate a treatment plan once a patient has… More >

  • Open Access

    REVIEW

    Understanding cell-extracellular matrix interactions for topology-guided tissue regeneration

    AAYUSHI RANDHAWA1,2, SAYAN DEB DUTTA1, KEYA GANGULY1, TEJAL V. PATIL1,2, RACHMI LUTHFIKASARI1, KI-TAEK LIM1,2,*

    BIOCELL, Vol.47, No.4, pp. 789-808, 2023, DOI:10.32604/biocell.2023.026217

    Abstract Tissues are made up of cells and the extracellular matrix (ECM) which surrounds them. These cells and tissues are actively adaptable to enduring significant stress that occurs in daily life. This astonishing mechanical stress develops due to the interaction between the live cells and the non-living ECM. Cells in the matrix microenvironment can sense the signals and forces produced and initiate a signaling cascade that plays a crucial role in the body’s normal functioning and influences various properties of the native cells, including growth, proliferation, and differentiation. However, the matrix’s characteristic features also impact the repair and regeneration of the… More >

  • Open Access

    ARTICLE

    The Nest of Torquigener Albomaculosus: Fluid-Dynamic Aspects and Potential for Bio-Inspired Engineering

    Zhimin Zhao1,2, Shangbin Wang1, Yuanhao Tie3, Ning Feng1,2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1837-1850, 2023, DOI:10.32604/fdmp.2023.026814

    Abstract Torquigener albomaculosus, also known as the white-spotted pufferfish, is known for creating circular nests in the underwater sand as part of the mating ritual. The nests are built by the males to attract females through the nest’s impressive design and related ability to gather fine sand particles. As the fluid-dynamic processes associated with these unique nests are still almost completely unknown, in the present study, an analysis has been conducted to investigate how the geometric parameters related to the nest design influence the fluid velocity in its center. For this reason, a geometric model of the nest consisting of 24… More > Graphic Abstract

    The Nest of Torquigener Albomaculosus: Fluid-Dynamic Aspects and Potential for Bio-Inspired Engineering

  • 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

    Volunteering and Depression among Older Adults: An Empirical Analysis Based on CLASS 2018

    Zhendong Wu1, Chen Xu2, Liyan Zhang3, Yang Wang4, George W. Leeson5, Gong Chen4,*, Julien S. Baker6, Xiao-Guang Yue7,8

    International Journal of Mental Health Promotion, Vol.25, No.3, pp. 403-419, 2023, DOI:10.32604/ijmhp.2023.024638

    Abstract Introduction:: Older adults are prone to high levels of depression due to their deteriorating physical functions and shrinking social networks after retirement. Volunteering as an important social activity is essential for alleviating depression by building social network. This paper aims to examine the effect of volunteering on depression among older adults by using China Longitudinal Aging Social Survey (CLASS 2018) data.Methods:: This study uses descriptive analysis and chi-square tests to show differences in demographic factors of older adults’ volunteerism participation, followed by bivariate correlation analysis to examine the correlation between the vital variables. Afterward, stratified linear regression analysis is used… More >

  • Open Access

    ARTICLE

    Peer-to-Peer Energy Trading Method of Multi-Virtual Power Plants Based on Non-Cooperative Game

    Jingjing Bai*, Hongyi Zhou, Zheng Xu, Yu Zhong

    Energy Engineering, Vol.120, No.5, pp. 1163-1183, 2023, DOI:10.32604/ee.2023.025553

    Abstract The current electricity market fails to consider the energy consumption characteristics of transaction subjects such as virtual power plants. Besides, the game relationship between transaction subjects needs to be further explored. This paper proposes a Peer-to-Peer energy trading method for multi-virtual power plants based on a non-cooperative game. Firstly, a coordinated control model of public buildings is incorporated into the scheduling framework of the virtual power plant, considering the energy consumption characteristics of users. Secondly, the utility functions of multiple virtual power plants are analyzed, and a non-cooperative game model is established to explore the game relationship between electricity sellers… More >

  • Open Access

    ARTICLE

    PV Solar Yield Applicable Simulator Based on Free Irradiance Data Source: Applied Comprehensive Tool for Solar Engineers

    Ahmed Mohamed Ragab1,*, Abdelhalim Abdelnaby Zekry2, Ashraf Yahia Hassan1

    Energy Engineering, Vol.120, No.4, pp. 885-910, 2023, DOI:10.32604/ee.2023.026425

    Abstract Accurate PV system simulators are implemented with expensive software platforms using paid irradiance data. The main purpose of this paper is to develop and validate a PV system simulator, beginning with a solar cell parameter extraction model, then test and validate long-term Irradiance data using free online source (Typical Meteorological Year TMY in (PVGIS) European website), and finally building full solar generator simulator to run in working real conditions. Comparing results with Accurate Paid PV simulators (which use the Muneer model) showed good accuracy of the proposed simulator. Work flow starts with the Irradiance model’s data processing, then solar cell… More >

  • Open Access

    ARTICLE

    Novel Metrics for Mutation Analysis

    Savas Takan1,*, Gokmen Katipoglu2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2075-2089, 2023, DOI:10.32604/csse.2023.036791

    Abstract A measure of the “goodness” or efficiency of the test suite is used to determine the proficiency of a test suite. The appropriateness of the test suite is determined through mutation analysis. Several Finite State Machine (FSM) mutants are produced in mutation analysis by injecting errors against hypotheses. These mutants serve as test subjects for the test suite (TS). The effectiveness of the test suite is proportional to the number of eliminated mutants. The most effective test suite is the one that removes the most significant number of mutants at the optimal time. It is difficult to determine the fault… More >

  • Open Access

    ARTICLE

    Red Deer Optimization with Artificial Intelligence Enabled Image Captioning System for Visually Impaired People

    Anwer Mustafa Hilal1,*, Fadwa Alrowais2, Fahd N. Al-Wesabi3, Radwa Marzouk4,5

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1929-1945, 2023, DOI:10.32604/csse.2023.035529

    Abstract The problem of producing a natural language description of an image for describing the visual content has gained more attention in natural language processing (NLP) and computer vision (CV). It can be driven by applications like image retrieval or indexing, virtual assistants, image understanding, and support of visually impaired people (VIP). Though the VIP uses other senses, touch and hearing, for recognizing objects and events, the quality of life of those persons is lower than the standard level. Automatic Image captioning generates captions that will be read loudly to the VIP, thereby realizing matters happening around them. This article introduces… More >

  • Open Access

    ARTICLE

    An Improved Bald Eagle Search Algorithm with Cauchy Mutation and Adaptive Weight Factor for Engineering Optimization

    Wenchuan Wang1,*, Weican Tian1, Kwok-wing Chau2, Yiming Xue1, Lei Xu3, Hongfei Zang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1603-1642, 2023, DOI:10.32604/cmes.2023.026231

    Abstract The Bald Eagle Search algorithm (BES) is an emerging meta-heuristic algorithm. The algorithm simulates the hunting behavior of eagles, and obtains an optimal solution through three stages, namely selection stage, search stage and swooping stage. However, BES tends to drop-in local optimization and the maximum value of search space needs to be improved. To fill this research gap, we propose an improved bald eagle algorithm (CABES) that integrates Cauchy mutation and adaptive optimization to improve the performance of BES from local optima. Firstly, CABES introduces the Cauchy mutation strategy to adjust the step size of the selection stage, to select… More >

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