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  • Open Access

    ARTICLE

    Enhancing Building Facade Image Segmentation via Object-Wise Processing and Cascade U-Net

    Haemin Jung1, Heesung Park2, Hae Sun Jung3, Kwangyon Lee4,*

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2261-2279, 2024, DOI:10.32604/cmc.2024.057118 - 18 November 2024

    Abstract The growing demand for energy-efficient solutions has led to increased interest in analyzing building facades, as buildings contribute significantly to energy consumption in urban environments. However, conventional image segmentation methods often struggle to capture fine details such as edges and contours, limiting their effectiveness in identifying areas prone to energy loss. To address this challenge, we propose a novel segmentation methodology that combines object-wise processing with a two-stage deep learning model, Cascade U-Net. Object-wise processing isolates components of the facade, such as walls and windows, for independent analysis, while Cascade U-Net incorporates contour information to… More >

  • Open Access

    COMMENTARY

    A commentary on the interplay of biomaterials and cell adhesion: new insights in bone tissue regeneration

    A. NOEL GRAVINA1,2, NOELIA D´ELÍA1,2, LUCIANO A. BENEDINI2,3,*, PAULA MESSINA1,2

    BIOCELL, Vol.48, No.11, pp. 1517-1520, 2024, DOI:10.32604/biocell.2024.055513 - 07 November 2024

    Abstract This article navigates the relationship between biomaterials and osteogenic cell adhesion, highlighting the importance of mimicking the physiological response for bone tissue regeneration. Within this spirit is an initial description of the interaction between osteoblasts and osteoprogenitor cells with the extracellular matrix, explaining the leading role of integrins and cadherins in cell adhesion, and the intracellular signaling pathways elicited. Additionally, there is a focus on the strategies of advanced biomaterials that foster osteogenesis by replicating the native environment, taking advantage of these known specific signaling pathways. The final remarks lay on the need for careful More >

  • Open Access

    ARTICLE

    How Autonomy Support Environment Influences Student Online Game Addiction: The Mediating Roles of Academic Motivation and Academic Perseverance

    Lingling Li1, Jingjing Liang1, Shuzhen Chen2,*

    International Journal of Mental Health Promotion, Vol.26, No.10, pp. 777-790, 2024, DOI:10.32604/ijmhp.2024.056988 - 31 October 2024

    Abstract Background: Online game addiction has become a serious global public health problem among adolescents. However, its influencing factors and mediating mechanisms remain ambiguous. Methods: The present study adopted stratified random sampling to collect 6146 junior high school student samples in mainland China. We used regression analysis, and Bootstrap mediation test through SPSS 26.0 and AMOS 24.0 to reveal the tendency of students’ online game addiction with different background characteristics and whether autonomy support from parents and teachers can effectively reduce online game addiction. Results: The results showed that parental (β = −0.112, p < 0.001) and… More >

  • Open Access

    MINI REVIEW

    Interplay between Plants and Microbial Communities: Insights from Holobionts and Environmental Interactions

    Sejin Choi1,2, Ho-Seok Lee1,2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2519-2534, 2024, DOI:10.32604/phyton.2024.058012 - 30 October 2024

    Abstract Plants interact with a complex network of microorganisms, forming a dynamic holobiont that is crucial for their health, growth, and adaptation. This interconnected system is deeply influenced by environmental factors, which modulate the relationships within the plant microbiome. Key environmental drivers such as light, temperature, and moisture can alter the balance of these interactions, impacting plant immunity, resilience, and overall fitness. The traditional disease triangle model, which emphasizes plant-pathogen-environment interactions, is enhanced by incorporating the role of the microbiome, revealing how microbial communities contribute to disease outcomes. This review highlights the importance of shifting focus More >

  • Open Access

    ARTICLE

    Modular System of Cascaded Converters Based on Model Predictive Control

    Chunxue Wen, Yaoquan Wei*, Peng Wang, Jianlin Li, Jinghua Zhou, Qingyun Li

    Energy Engineering, Vol.121, No.11, pp. 3241-3261, 2024, DOI:10.32604/ee.2024.051810 - 21 October 2024

    Abstract A modular system of cascaded converters based on model predictive control (MPC) is proposed to meet the application requirements of multiple voltage levels and electrical isolation in renewable energy generation systems. The system consists of a Buck/Boost + CLLLC cascaded converter as a submodule, which is combined in series and parallel on the input and output sides to achieve direct-current (DC) voltage transformation, bidirectional energy flow, and electrical isolation. The CLLLC converter operates in DC transformer mode in the submodule, while the Buck/Boost converter participates in voltage regulation. This article establishes a suitable mathematical model More >

  • Open Access

    ARTICLE

    Industrial Fusion Cascade Detection of Solder Joint

    Chunyuan Li1,2,3, Peng Zhang1,2,3, Shuangming Wang4, Lie Liu4, Mingquan Shi2,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1197-1214, 2024, DOI:10.32604/cmc.2024.055893 - 15 October 2024

    Abstract With the remarkable advancements in machine vision research and its ever-expanding applications, scholars have increasingly focused on harnessing various vision methodologies within the industrial realm. Specifically, detecting vehicle floor welding points poses unique challenges, including high operational costs and limited portability in practical settings. To address these challenges, this paper innovatively integrates template matching and the Faster RCNN algorithm, presenting an industrial fusion cascaded solder joint detection algorithm that seamlessly blends template matching with deep learning techniques. This algorithm meticulously weights and fuses the optimized features of both methodologies, enhancing the overall detection capabilities. Furthermore,… More >

  • Open Access

    ARTICLE

    Transcription Factors and Retained Intron Act Vital Roles in Cadmium Stress Response of Medicinal Model Plant Salvia miltiorrhiza

    Jun Yuan1, Rongpeng Liu4, Xiaoyun Wang3,*, Haihui Fu2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2267-2284, 2024, DOI:10.32604/phyton.2024.055338 - 30 September 2024

    Abstract Cadmium (Cd) has seriously affected the quality of traditional Chinese medicinal material Salvia miltiorrhiza in recent years, threatening human health. The physiological and metabolic profiles of S. miltiorrhiza in response to Cd stress have been revealed in previous studies. However, transcriptional and post-transcriptional regulation in response to different degrees of Cd (0, 25, 50, and 100 mg/kg) stress in S. miltiorrhiza remains unclear. Here, transcriptome atlas in S. miltiorrhiza under different degrees of Cd Stress was unveiled using RNA sequencing (RNA-seq). These results showed that the profiles of gene expression were different in the response to Cd treatment. Defense More >

  • Open Access

    ARTICLE

    The Risk Role of Defeat on the Mental Health of College Students: A Moderated Mediation Effect of Academic Stress and Interpersonal Relationships

    Ruiyang Han1, Tingting Xu1,*, Yin Shi2, Wuyi Liu3

    International Journal of Mental Health Promotion, Vol.26, No.9, pp. 731-744, 2024, DOI:10.32604/ijmhp.2024.054884 - 20 September 2024

    Abstract Background: College students face significant academic and physiological changes, making them more susceptible to psychological issues such as depression, self-injury, and suicidal ideation. Feelings of defeat can exacerbate these risks by increasing academic stress. However, interpersonal relationships can moderate the impact of academic stress on students’ mental health. Utilizing the presage–process–product model, this study aims to empirically investigate how feelings of defeat influence depression, self-injury, and suicidal ideation among college students. Additionally, it explores the mediating role of academic stress and the moderating role of various types of interpersonal relationships. Methods: A total of 1612… More >

  • Open Access

    ARTICLE

    Computational Approach for Automated Segmentation and Classification of Region of Interest in Lateral Breast Thermograms

    Dennies Tsietso1,*, Abid Yahya1, Ravi Samikannu1, Basit Qureshi2, Muhammad Babar3,*

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4749-4765, 2024, DOI:10.32604/cmc.2024.052793 - 12 September 2024

    Abstract Breast cancer is one of the major health issues with high mortality rates and a substantial impact on patients and healthcare systems worldwide. Various Computer-Aided Diagnosis (CAD) tools, based on breast thermograms, have been developed for early detection of this disease. However, accurately segmenting the Region of Interest (ROI) from thermograms remains challenging. This paper presents an approach that leverages image acquisition protocol parameters to identify the lateral breast region and estimate its bottom boundary using a second-degree polynomial. The proposed method demonstrated high efficacy, achieving an impressive Jaccard coefficient of 86% and a Dice… More >

  • Open Access

    ARTICLE

    A Cascading Fault Path Prediction Method for Integrated Energy Distribution Networks Based on the Improved OPA Model under Typhoon Disasters

    Yue He1, Yaxiong You1, Zhian He1, Haiying Lu1, Lei Chen2,*, Yuqi Jiang2, Hongkun Chen2

    Energy Engineering, Vol.121, No.10, pp. 2825-2849, 2024, DOI:10.32604/ee.2024.052371 - 11 September 2024

    Abstract In recent times, the impact of typhoon disasters on integrated energy active distribution networks (IEADNs) has received increasing attention, particularly, in terms of effective cascading fault path prediction and enhanced fault recovery performance. In this study, we propose a modified ORNL-PSerc-Alaska (OPA) model based on optimal power flow (OPF) calculation to forecast IEADN cascading fault paths. We first established the topology and operational model of the IEADNs, and the typical fault scenario was chosen according to the component fault probability and information entropy. The modified OPA model consisted of two layers: An upper-layer model to More >

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