Huayi Zhang¹, Maobin Song², Lei Shen^1,*, Nizar Faisal Alkayem¹, Maosen Cao³

Structural Durability & Health Monitoring, Vol.19, No.1, pp. 55-75, 2025, DOI:10.32604/sdhm.2024.052869 - 15 November 2024

Abstract The concrete panel of earth-rock dams in cold regions tends to crack due to the combination effect of non-uniform foundation settlement, ice expansion loads, and freeze-thaw damage. In this work, simulations are designed to investigate the effects of freeze-thaw damage degrees on the fracture behavior caused by the partial detachment and ice expansion loads on concrete panels. Results show that the range of detached panels and freeze-thaw damage degree are the dominant factors that affect the overall load-bearing capacity of the panel and the failure cracking modes, whereas the panel slope is a secondary factor. More >

Zheng Guo¹, Li Xie², Ju Zhao³, Xing Hao³, Xiaotong Hou³, Wei Wang^1,*

Congenital Heart Disease, Vol.19, No.4, pp. 341-350, 2024, DOI:10.32604/chd.2024.057403 - 31 October 2024

Abstract Background: With the decline of birth population and the development of medical technology in China, studies assessing how these changes have affected the adoption of congenital heart disease surgery at the national or regional scale are lacking. Methods: We investigated the status of congenital heart surgery in China in the period from 2017–2022, through investigation of the total rates of cardiac surgeries, cardiopulmonary bypass (CPB), adult congenital heart surgeries (CHS), and pediatric CHS (<18 years old), as recorded by the Extracorporeal Circulation Branch of the Chinese Society of Biomedical Engineering. Subsequently, we evaluated correlations between… More >

Ying Wang¹, Jie Dang¹, Cangbi Ding^2,*, Chenyi Zheng², Yi Tang²

Energy Engineering, Vol.121, No.11, pp. 3331-3353, 2024, DOI:10.32604/ee.2024.052066 - 21 October 2024

Abstract As the large-scale development of wind farms (WFs) progresses, the connection of WFs to the regional power grid is evolving from the conventional receiving power grid to the sending power grid with a high proportion of wind power (WP). Due to the randomness of WP output, higher requirements are put forward for the voltage stability of each node of the regional power grid, and various reactive power compensation devices (RPCDs) need to be rationally configured to meet the stable operation requirements of the system. This paper proposes an optimal configuration method for multi-type RPCDs in More >

Bolin Guo^1,2, Shi Qiu^1,*, Pengchang Zhang¹, Xingjia Tang³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1809-1833, 2024, DOI:10.32604/cmc.2024.056706 - 15 October 2024

Abstract Mural paintings hold significant historical information and possess substantial artistic and cultural value. However, murals are inevitably damaged by natural environmental factors such as wind and sunlight, as well as by human activities. For this reason, the study of damaged areas is crucial for mural restoration. These damaged regions differ significantly from undamaged areas and can be considered abnormal targets. Traditional manual visual processing lacks strong characterization capabilities and is prone to omissions and false detections. Hyperspectral imaging can reflect the material properties more effectively than visual characterization methods. Thus, this study employs hyperspectral imaging… More >

Bayan Alabdullah¹, Muhammad Tayyab², Yahay AlQahtani³, Naif Al Mudawi⁴, Asaad Algarni⁵, Ahmad Jalal², Jeongmin Park^6,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 309-326, 2024, DOI:10.32604/cmc.2024.053538 - 15 October 2024

Abstract In the modern era of a growing population, it is arduous for humans to monitor every aspect of sports, events occurring around us, and scenarios or conditions. This recognition of different types of sports and events has increasingly incorporated the use of machine learning and artificial intelligence. This research focuses on detecting and recognizing events in sequential photos characterized by several factors, including the size, location, and position of people’s body parts in those pictures, and the influence around those people. Common approaches utilized, here are feature descriptors such as MSER (Maximally Stable Extremal Regions),… More >

Mario Eugenio Sello^1,*, Rafael Adrian Maddio¹, Santiago Ignacio Hurtado¹, Daniel Alejandro Castillo¹, Daiana Vanesa Perri¹, Octavio Agusto Bruzzone², Marcos Horacio Easdale¹

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2479-2498, 2024, DOI:10.32604/phyton.2024.053168 - 30 September 2024

Abstract Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in… More >

Hong Lan^1,3, Jiye Zhang^1,*, Yao Zhang¹, Lu Cai²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.10, pp. 2337-2352, 2024, DOI:10.32604/fdmp.2024.052609 - 23 September 2024

Abstract To investigate the influence of snow particle rotational motion on the accumulation of snow in the bogie region of high-speed trains, an Euler‒Lagrange numerical approach is adopted. The study examines the effects of snow particle diameter and train speed on the ensuing dynamics. It is shown that considering snow particle rotational motion causes significant deviation in the particle trajectories with respect to non-rotating particles. Such a deviation increases with larger snow particle diameters and higher train speeds. The snow accumulation on the overall surface of the bogie increases, and the amount of snow on the More >

MEHRSA JALALIZADEH^1,#, HEVELINE RAYANE MOURA ROESCH^1,#, FERNANDO KORKES², QUOC DIEN-TRINH³, LEONARDO OLIVEIRA REIS^1,4,*

Oncology Research, Vol.32, No.10, pp. 1565-1573, 2024, DOI:10.32604/or.2024.052179 - 18 September 2024

Abstract Objectives: The Brazilian Unified Health System (Sistema Único de Saúde−SUS) is the universal public healthcare system of Brazil that maintains a nationwide database of its patients. Our primary objective was to analyze regional and temporal trends, while our secondary goal was to establish correlations between states’ health economy status and their prostate cancer (PCa) epidemiology. Methods: We analyzed Brazil’s nationwide data on prostate cancer (PCa) incidence, mortality, and care gathered between 2013 and 2021 by the Information Technology Department of SUS (DATA-SUS), updated monthly using the International Classification of Diseases (ICD-10) code. Results: In the period,… More >

Xiangkui Jiang^*, Zihao Wang, Chao Dong

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4303-4323, 2024, DOI:10.32604/cmc.2024.054640 - 12 September 2024

Abstract

For the problem of slow search and tortuous paths in the Rapidly Exploring Random Tree (RRT) algorithm, a feedback-biased sampling RRT, called FS-RRT, is proposed based on RRT. Firstly, to improve the sampling efficiency of RRT to shorten the search time, the search area of the random tree is restricted to improve the sampling efficiency. Secondly, to obtain better information about obstacles to shorten the path length, a feedback-biased sampling strategy is used instead of the traditional random sampling, the collision of the expanding node with an obstacle generates feedback information so that the next

… More >

Dennies Tsietso^1,*, Abid Yahya¹, Ravi Samikannu¹, Basit Qureshi², Muhammad Babar^3,*

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 >