Prabal Shrestha¹, Onur Avci^1,*, Sahabeddin Rifai¹, Feras Abla¹, Michael Seek², Karl Barth¹, Udaya Halabe³

Structural Durability & Health Monitoring, Vol.19, No.2, pp. 193-231, 2025, DOI:10.32604/sdhm.2024.049530 - 15 January 2025

Abstract Civil infrastructure is continuously subject to aging and deterioration due to multiple factors, which lead to a decline in performance and impact structural health. Accumulated damage on structures increases operational costs and poses significant risks to public safety. Effective maintenance, repair, and rehabilitation strategies are needed to ensure civil infrastructure’s overall safety and reliability. Non-Destructive Evaluation (NDE) methods are utilized to assess latent damage and provide decision-makers with real-time information for mitigating hazards. Within the last decade, there has been a significant increase in the research and development of innovative NDE techniques to improve data… More >

Nilotpal Kalita^1,*, Ashok Kumar Bora², Rana Sarmah³, Dhrubajyoti Sahariah², Manash Jyoti Nath^2,*

Revue Internationale de Géomatique, Vol.34, pp. 37-51, 2025, DOI:10.32604/rig.2024.058265 - 13 January 2025

Abstract Flooding is a natural event often associated with floodplain areas, characterised by large, sudden and significant rises in river water levels that drastically alters the surrounding landscape. The research employs ArcGIS tools, multi-criteria evaluation techniques and the Maximum Entropy (MaxEnt) model to assess flood hazard zones. The key physical elements of slope, elevation, rainfall, drainage density, land use, and soil types have been integrated to identify areas vulnerable to flooding. Overlay analysis has been used to construct zones specifically designated for flood hazards. Additionally, pairwise comparison using Saaty’s scale was employed to calculate the Eigenvector More > Graphic Abstract

Khuram Ali Khan¹, Saba Mubeen Ishfaq¹, Atiqe Ur Rahman², Salwa El-Morsy^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 501-530, 2025, DOI:10.32604/cmes.2024.057865 - 17 December 2024

Abstract Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty, evaluating educational institutions can be difficult. The concept of a possibility Pythagorean fuzzy hypersoft set (pPyFHSS) is more flexible in this regard than other theoretical fuzzy set-like models, even though some attempts have been made in the literature to address such uncertainties. This study investigates the elementary notions of pPyFHSS including its set-theoretic operations union, intersection, complement, OR- and AND-operations. Some results related to these operations are also modified for pPyFHSS. Additionally, the similarity measures between pPyFHSSs are More >

Yanhong Zhang, Tong Sun, Jinyan Zhu, Qiangqiang Xiong, Jinlong Hu, Haipeng Zhang, Nianbing Zhou, Hongcheng Zhang^*

Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3573-3587, 2024, DOI:10.32604/phyton.2024.057690 - 31 December 2024

Abstract We investigated the differences in metabolites related to rice yield under different nitrogen fertilizer levels and the regulatory roles of key metabolites in metabolic pathways, in the hope of providing data support from the metabolite level for further regulation of rice yield. This study focused on the rice variety Yangchan 15002 and used non-targeted metabolomics methods to detect the metabolic products of rice leaves under three nitrogen fertilizer levels. The yield of oryza sativa plants under high nitrogen (A3: 315 kg/ha) conditions was significantly higher than that of plants under medium (A2: 270 kg/ha) and… More >

Jonathan S. Taylor-Fishwick^1,*, Nicholas Holzemer², Brandon Middlemist³, Vivian Duarte³, Kaitlin E. Olson⁴, Johannes C. von Alvensleben⁵, Megan SooHoo⁶, Amber Khanna⁷

Congenital Heart Disease, Vol.19, No.5, pp. 457-472, 2024, DOI:10.32604/chd.2024.057151 - 31 December 2024

Abstract Background: Post-operative atrial fibrillation (POAF) frequently occurs after cardiac surgery. Although adult congenital heart disease (ACHD) patients have higher rates of arrhythmia than the general population, there is scant literature on POAF in ACHD patients. Objectives: Identify key risk factors associated with post-operative atrial fibrillation and evaluate the short- and mid-term significance of developing POAF. Methods: A retrospective cohort study was conducted of ACHD patients from 2013–2021 at the University of Colorado Hospital and Children’s Hospital of Colorado. The institutional Society of Thoracic Surgeons (STS) surgical registry was used to identify patients ≥18-year-old with congenital heart… More >

Annan Yang¹, Jiawei Zhang^2,*, Haojie Yang^3,*, Keyi Tao¹, Mengna Xu¹, Yuyu Zhao¹

Journal on Big Data, Vol.6, pp. 21-41, 2024, DOI:10.32604/jbd.2024.057612 - 31 December 2024

Abstract This study introduces an electric vehicle charging station layout optimization method utilizing Point of Interest (POI) data, addressing traditional design limitations. It details the acquisition and visualization of POI data for Yancheng’s key locations and charging stations. Employing a hybrid K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm, the study determines areas requiring optimization through location entropy and overlap analysis. The research shows that the integrated clustering approach can efficiently guide the fair distribution of charging stations, enhancing service quality and supporting the sustainable growth of the electric vehicle sector. More >

Junwei Han¹, Guohua Li¹, Wu Zhong¹, Yuchen Yang¹, Maoheng Li^2,3, Zhiwei Chen^2,3, Ruichang Ge^2,3, Lijuan Huang^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2757-2773, 2024, DOI:10.32604/fdmp.2024.056130 - 23 December 2024

Abstract A comprehensive method to evaluate the factors affecting the production capacity of horizontal wells in Carboniferous volcanic rocks after fracturing is investigated. A systematic approach combining gray correlation analysis, hierarchical analysis and fuzzy evaluation is proposed. In particular, first the incidence of reservoir properties and fracturing parameters on production capacity is assessed. These parameters include reservoir base geological parameters (porosity, permeability, oil saturation, waterproof height) as well as engineering parameters (fracture half-length, fracture height, fracture conductivity, fracture distance). Afterwards, a two-by-two comparison judgment matrix of sensitive parameters is constructed by means of hierarchical analysis, and More >

Musulmon Lolaev, Anand Paul^*, Jeonghong Kim

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4707-4726, 2024, DOI:10.32604/cmc.2024.058675 - 19 December 2024

Abstract Evaluating artificial intelligence (AI) systems is crucial for their successful deployment and safe operation in real-world applications. The assessor meta-learning model has been recently introduced to assess AI system behaviors developed from emergent characteristics of AI systems and their responses on a test set. The original approach lacks covering continuous ranges, for example, regression problems, and it produces only the probability of success. In this work, to address existing limitations and enhance practical applicability, we propose an assessor feedback mechanism designed to identify and learn from AI system errors, enabling the system to perform the More >

Sabina Rakhmetulayeva^1,*, Zhandos Zhanabekov², Aigerim Bolshibayeva³

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4503-4523, 2024, DOI:10.32604/cmc.2024.057974 - 19 December 2024

Abstract The applications of machine learning (ML) in the medical domain are often hindered by the limited availability of high-quality data. To address this challenge, we explore the synthetic generation of echocardiography images (echoCG) using state-of-the-art generative models. We conduct a comprehensive evaluation of three prominent methods: Cycle-consistent generative adversarial network (CycleGAN), Contrastive Unpaired Translation (CUT), and Stable Diffusion 1.5 with Low-Rank Adaptation (LoRA). Our research presents the data generation methodology, image samples, and evaluation strategy, followed by an extensive user study involving licensed cardiologists and surgeons who assess the perceived quality and medical soundness of More > Graphic Abstract

Aswinraj Anbazhagan¹, Piyali Roy Choudhury¹, Sahila Sambandam², Jayakumari Lakshmanan Saraswathi^1,*

Journal of Polymer Materials, Vol.41, No.4, pp. 299-313, 2024, DOI:10.32604/jpm.2024.056261 - 16 December 2024

Abstract Petroleum-based cured epoxy polymers, used widely in aerospace, marine, and automotive industries, pose environmental threats due to their toxicity. Therefore, developing alternative curing systems for epoxy resin is crucial. This study explores the use of bio-based phenalkamines as curing agents for epoxy resin to enhance the mechanical properties of polymer composites and fiber-reinforced laminates. The functional groups, morphology, and thermal properties of the composites were analyzed using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). Mechanical properties of two epoxy systems—EP-TETA (triethylenetetramine-cured) and EP-PA (phenalkamine-cured)—were evaluated according to ASTM standards. More > Graphic Abstract