Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (232)
  • Open Access

    ARTICLE

    Spatio-Temporal Graph Neural Networks with Elastic-Band Transform for Solar Radiation Prediction

    Guebin Choi*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.073985 - 29 January 2026

    Abstract This study proposes a novel forecasting framework that simultaneously captures the strong periodicity and irregular meteorological fluctuations inherent in solar radiation time series. Existing approaches typically define inter-regional correlations using either simple correlation coefficients or distance-based measures when applying spatio-temporal graph neural networks (STGNNs). However, such definitions are prone to generating spurious correlations due to the dominance of periodic structures. To address this limitation, we adopt the Elastic-Band Transform (EBT) to decompose solar radiation into periodic and amplitude-modulated components, which are then modeled independently with separate graph neural networks. The periodic component, characterized by strong More >

  • Open Access

    ARTICLE

    Integrating Attention Mechanism with Code Structural Affinity and Execution Context Correlation for Automated Bug Repair

    Jinfeng Ji1, Geunseok Yang2,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071733 - 12 January 2026

    Abstract Automated Program Repair (APR) techniques have shown significant potential in mitigating the cost and complexity associated with debugging by automatically generating corrective patches for software defects. Despite considerable progress in APR methodologies, existing approaches frequently lack contextual awareness of runtime behaviors and structural intricacies inherent in buggy source code. In this paper, we propose a novel APR approach that integrates attention mechanisms within an autoencoder-based framework, explicitly utilizing structural code affinity and execution context correlation derived from stack trace analysis. Our approach begins with an innovative preprocessing pipeline, where code segments and stack traces are… More >

  • Open Access

    ARTICLE

    Improving Online Restore Performance of Backup Storage via Historical File Access Pattern

    Ruidong Chen1,#, Guopeng Wang2,#, Jingyuan Yang1, Ziyu Wang1, Fang Zou1, Jia Sun1, Xingpeng Tang1, Ting Chen1,*

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.068878 - 12 January 2026

    Abstract The performance of data restore is one of the key indicators of user experience for backup storage systems. Compared to the traditional offline restore process, online restore reduces downtime during backup restoration, allowing users to operate on already restored files while other files are still being restored. This approach improves availability during restoration tasks but suffers from a critical limitation: inconsistencies between the access sequence and the restore sequence. In many cases, the file a user needs to access at a given moment may not yet be restored, resulting in significant delays and poor user… More >

  • Open Access

    PROCEEDINGS

    Study on Friction Behavior of Soft Material Based on Predictive Modeling and Interfacial Tribometry

    Huixin Wei, Baopeng Liao*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012367

    Abstract Friction behavior at soft-hard material interfaces plays a pivotal role in applications spanning biomedical devices, robotics, and tactile systems. While theoretical frameworks and experimental characterization methods have advanced, it is still difficult to unravel interfacial mechanisms. In this study, a theoretical model is firstly developed to predict static-to-sliding transitions by analyzing geometric evolution and stick-slip dynamics at soft material interfaces. The model quantitatively determines the threshold force for slip initiation, offering predictive insights into The sliding behavior of the interface. Second, an innovative tribometry platform is introduced, combining synchronized optical visualization, mechanical loading, and automated More >

  • Open Access

    ARTICLE

    A Comprehensive Analysis of the Mineral Profile of Three Wild Tulips in China

    Yue Ma1,2, Douwen Qin1,2, Weiqiang Liu1,2, Xiuting Ju1,2,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3527-3538, 2025, DOI:10.32604/phyton.2025.069643 - 01 December 2025

    Abstract Comprehensive evaluation based on mineral element content is one of the effective methods for the exploration and utilization of wild tulip germplasm resources. In this study, Tulipa iliensis, Tulipa tianschanica and Tulipa heterophylla distributed in China were used as the research objects. The contents of 10 mineral elements (N, K, P, S, Ca, Mg, Cu, Zn, Fe, Mn) in roots, bulbs and leaves were determined, and the three wild tulips were comprehensively evaluated by correlation analysis, principal component analysis and cluster analysis. The results showed distinct variations in mineral element content among different organs of T. iliensis, T. tianschanica and T.More >

  • Open Access

    ARTICLE

    Artificial Neural Network-Based Risk Assessment for Cardiac Implantable Electronic Device Complications

    Chih-Yin Chien1,2, Tsae-Jyy Wang1, Pei-Hung Liao1, Ying-Hsiang Lee3,4,5,*, Wei-Sho Ho6,7,*

    Congenital Heart Disease, Vol.20, No.5, pp. 601-612, 2025, DOI:10.32604/chd.2025.072431 - 30 November 2025

    Abstract Background: Cardiac implantable electronic devices (CIEDs) are essential for preventing sudden cardiac death in patients with cardiovascular diseases, but implantation procedures carry risks of complications such as infection, hematoma, and bleeding, with incidence rates of 3–4%. Previous studies have examined individual risk factors separately, but integrated predictive models are lacking. We compared the predictive performance and interpretability of artificial neural network (ANN) and logistic regression models to evaluate their respective strengths in clinical risk assessment. Methods: This retrospective study analyzed data from 180 patients who underwent cardiac implantable electronic device (CIED) implantation in Taiwan between 2017… More >

  • Open Access

    ARTICLE

    Correlation between Syndecan-1 in Inter Category of RACHS-1 Score and Immediate Clinical Outcomes

    Novik Budiwardhana1,*, Indah Kartika Murni2, Eva Miranda Marwali1, Pribadi Wiranda Busro3, Fildza Intan Rizkia4, Muhamad Faza Soelaeman4, Yunita Widyastuti5

    Congenital Heart Disease, Vol.20, No.5, pp. 591-600, 2025, DOI:10.32604/chd.2025.070345 - 30 November 2025

    Abstract Background: Low cardiac output syndrome (LCOS) is a frequent and serious complication after pediatric cardiac surgery. Endothelial glycocalyx (EG) degradation, indicated by elevated syndecan-1, contributes to microvascular dysfunction and postoperative instability. The relationship between syndecan-1 dynamics and surgical risk categories remains unclear. Objective: To examine the association between perioperative syndecan-1 levels and clinical outcomes across Risk Adjustment for Congenital Heart Surgery (RACHS-1) categories. Methods: We analyzed 106 children (RACHS-1 categories 2–4) undergoing elective cardiac surgery with cardiopulmonary bypass (CPB). Syndecan-1 was measured at baseline (T0), 4 h (T4), and 72 h (T72). Outcomes included LCOS, vasoactive inotropic… More >

  • Open Access

    ARTICLE

    Correlation between chronic prostate inflammation and overactive bladder symptoms following transurethral resection of the prostate due to benign prostate hyperplasia

    Ozgu Aydogdu1,*, Onur Erdemoglu2, Halil Ibrahim Bozkurt2, Tansu Degirmenci2, Michael Winder3

    Canadian Journal of Urology, Vol.32, No.5, pp. 529-538, 2025, DOI:10.32604/cju.2025.064564 - 30 October 2025

    Abstract Objectives: Treatment of patients with lower urinary tract symptoms (LUTS) is often challenging. In men, the origin of LUTS, in particular overactive bladder (OAB) symptoms, is often due to prostate enlargement. However, patients with chronic prostate inflammation (CPI) also frequently experience OAB. Thus far, it is not known if the inflammation per se or concomitant prostate enlargement is the underlying cause of LUTS. Currently, we aim to examine if there is any correlation between CPI and the persistence of OAB symptoms in patients with benign prostate hyperplasia (BPH). Methods: Fifty-one men underwent transurethral resection of… More >

  • Open Access

    PROCEEDINGS

    Quantitative Assessment of Irreversible Deformation and Fatigue Damage Based on DIC

    Chenghuan Liu, Xiangbo Hu, Xiaogang Wang*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.010910

    Abstract Digital image correlation (DIC) is an emerging non-contact optical measurement method that tracks speckle patterns on the specimen surface to obtain the deformation, providing an advanced methodology for the quantitative evaluation of full-field strain. The present work focuses on the quantitative assessment of deformation from micro to macro scales based on the DIC method and examines damage evolution in metal materials under static and cyclic loading conditions. First, an SEM-based DIC method allowing high-resolution strain measurement at subgrain scales is developed for investigating strain partitioning in dual-phase steel. The results reveal that the strain distribution… More >

  • Open Access

    REVIEW

    The Role of Mindfulness in Foreign Language Anxiety: A Systematic Review of Correlational and Intervention Studies

    Hui Yang1, Yijie Li2,*

    International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1279-1300, 2025, DOI:10.32604/ijmhp.2025.068399 - 30 September 2025

    Abstract Background: Foreign Language Anxiety (FLA) represents a substantial affective barrier that undermines cognitive performance, motivation, and retention in language learners. Emerging evidence highlights mindfulness-based interventions as promising strategies for enhancing emotional regulation and reducing anxiety across educational contexts. This review synthesizes current research on mindfulness as a psychological intervention, aims to evaluate its efficacy in alleviating FLA, and discusses its broader implications for health-focused educational policy and practice. Methods: Following PRISMA guidelines, we systematically reviewed studies examining the relationships between mindfulness and FLA. Our search of four major databases (November 2023) initially identified 346 articles… More >

Displaying 1-10 on page 1 of 232. Per Page