Yating Xu¹, Mansheng Xiao^1,*, Mengxing Gao¹, Zhenzhen Liu¹, Zeyu Xiao²

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1635-1656, 2025, DOI:10.32604/sdhm.2025.068822 - 17 November 2025

Abstract During the operation, maintenance and upkeep of concrete buildings, surface cracks are often regarded as important warning signs of potential damage. Their precise segmentation plays a key role in assessing the health of a building. Traditional manual inspection is subjective, inefficient and has safety hazards. In contrast, current mainstream computer vision–based crack segmentation methods still suffer from missed detections, false detections, and segmentation discontinuities. These problems are particularly evident when dealing with small cracks, complex backgrounds, and blurred boundaries. For this reason, this paper proposes a lightweight building surface crack segmentation method, HL-YOLO, based on… More >

Miyad Movassaghi¹, Rainjade Chung¹, George W. Moran¹, Christina P. Carpenter^1,2

Canadian Journal of Urology, Vol.29, No.5, pp. 11326-11328, 2022

Abstract Congenital megalourethra, first described in 1955, is a rare urethral anomaly resulting from dysgenesis of the penile corpus spongiosum, with or without corpus cavernosum involvement, leading to dilatation of the penile urethra. Presentations come in two forms, scaphoid and fusiform, with the former being more common and resulting from deficient or absent corpus spongiosum. Fusiform types are much rarer, and consist of absence of both the corpus spongiosum and cavernosum.³
Here, we present a case involving the surgical correction of an isolated scaphoid-type congenital megalourethra with significantly improved postoperative cosmetic and functional outcomes. More >

Anuruk Prommakhot, Jakkree Srinonchat^*

CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3313-3329, 2022, DOI:10.32604/cmc.2022.024417 - 29 March 2022

Abstract Image classification always has open challenges for computer vision research. Nowadays, deep learning has promoted the development of this field, especially in Convolutional Neural Networks (CNNs). This article proposes the development of efficiently scaled dilation of DropBlock optimization in CNNs for the fungus classification, which there are five species in this experiment. The proposed technique adjusts the convolution size at 35, 45, and 60 with the max-polling size 2 × 2. The CNNs models are also designed in 12 models with the different BlockSizes and KeepProp. The proposed techniques provide maximum accuracy of 98.30% for the training More >

MARGARIDA LORIGO^1,2, ELISA CAIRRAO^1,2,*

BIOCELL, Vol.46, No.6, pp. 1383-1389, 2022, DOI:10.32604/biocell.2022.018895 - 07 February 2022

Abstract Cardiovascular diseases (CVD) are one of the leading causes of death worldwide. The knowledge and understanding of CVD are based on the study of vascular physiology and how the smooth muscle cells and tissues perform their different functions. Exposure to endocrine disruptors (EDCs), such as phytoestrogens, polycyclic aromatic hydrocarbons, flame retardants, plasticizers, pesticides, and cosmetics, is an integral and fundamental part of human exposure. Humans are exposed to EDCs by multiple pathways including air, food, water, and consumer products. However, this exposure can lead to several adverse effects on human health, including on the cardiovascular… More >

Wissem Sahmim¹, Febrina Dellarose Boer¹, Hubert Chapuis¹, Firmin Obounou-Akong¹, Antonio Pizzi², Philippe Gérardin¹, Christine Gérardin-Charbonnier^1,*

Journal of Renewable Materials, Vol.10, No.5, pp. 1175-1184, 2022, DOI:10.32604/jrm.2022.016365 - 22 December 2021

Abstract With the current trend of increasing efforts to develop non-isocyanate-based polyurethanes (NIPUs), this study aimed to check the feasibility of the development of a method using cyclic carbonate modified catechin and amine to synthesis non-isocyanate urethane with the objective to further extend these results to polyurethane synthesis. The methods used in this study consist of four steps: glycidilation of catechin, hydrolysis of epoxide, cyclic carbonate synthesis, and carbamate synthesis through condensation of butylamine. The resulting products were analyzed using FTIR (Fourier transform infrared) spectroscopy and NMR (nuclear magnetic resonance) spectroscopy. The results showed that carbamate More > Graphic Abstract

Mavra Mehmood¹, Ember Ayub¹, Fahad Ahmad^1,6,*, Madallah Alruwaili², Ziyad A. Alrowaili³, Saad Alanazi², Mamoona Humayun², Muhammad Rizwan¹, Shahid Naseem⁴, Tahir Alyas⁵

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 641-657, 2021, DOI:10.32604/cmc.2021.013774 - 12 January 2021

Abstract Clinical image processing plays a significant role in healthcare systems and is currently a widely used methodology. In carcinogenic diseases, time is crucial; thus, an image’s accurate analysis can help treat disease at an early stage. Ductal carcinoma in situ (DCIS) and lobular carcinoma in situ (LCIS) are common types of malignancies that affect both women and men. The number of cases of DCIS and LCIS has increased every year since 2002, while it still takes a considerable amount of time to recommend a controlling technique. Image processing is a powerful technique to analyze preprocessed… More >

Dean S. Elterman¹, Karl Coutinho², Judith C. Hagedorn³

Canadian Journal of Urology, Vol.27, No.4, pp. 10322-10328, 2020

Abstract Urethral stricture disease can be difficult to treat and stricture recurrence is common. The management of stricture disease has evolved and urethroplasty can achieve a high rate of lasting urethral patency. Nevertheless, endoscopic treatments still seem to have sub-optimal outcomes with high stricture recurrence rates. The Optilume drug-coated balloon represents a step forward in the endoscopic management of urethral strictures. The drug-coated balloon may offer an intermediate step prior to repeated dilations, urethrostomies, or urethroplasty. This treatment modality is a promising alternative to current endoscopic management and an option for patients that are poor surgical More >

Amy M. Reed¹, Eric C. Umbreit², James K. Aden¹, Christopher L. Allam¹

Canadian Journal of Urology, Vol.27, No.4, pp. 10317-10321, 2020

Abstract Introduction: To determine the efficacy and safety of using the semi-rigid ureteroscope as the only ureteral dilator for primary ureteroscopy (URS) in the treatment of renal stones.
Materials and methods: A retrospective review of primary URS for renal stone disease was performed on consecutive patients treated by a single provider from 2013 to 2017. Utilizing wire placement under fluoroscopic guidance and direct visual ureteroscopic dilation with a semi-rigid ureteroscope, primary outcome was successful completion of stone treatment. In addition, perioperative safety was evaluated.
Results: A total of 126 consecutive cases of primary URS using the semi-rigid ureteroscope as… More >

Hade Mao^{1, 2}, Yuliang Liu^{1, 2, *}, Hongzhe Yan^{1, 2}, Cheng Qian³, Jing Xue⁴

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 511-527, 2020, DOI:10.32604/cmc.2020.09841 - 23 July 2020

Abstract To troubleshoot two problems arising from the segmentation of manganese nodule images-uneven illumination and morphological defects caused by white sand coverage, we propose, with reference to features of manganese nodules, a method called “background gray value calculation”. As the result of the image procession with the aid this method, the two problems above are solved eventually, together with acquisition of a segmentable image of manganese nodules. As a result, its comparison with other segmentation methods justifies its feasibility and stability. Judging from simulation results, it is indicated that this method is applicable to repair the More >

Lijian Xu¹, Tianyang Yang², Lekang Yin³, Ye Kong², Yuri Vassilevski^4,5, Fuyou Liang^1,5,6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 509-526, 2020, DOI:10.32604/cmes.2020.010719 - 20 July 2020

Abstract Computational modeling methods have been increasingly employed to quantify aortic hemodynamic parameters that are challenging to in vivo measurements but important for the diagnosis/treatment of aortic disease. Although the presence of turbulence-like behaviors of blood flow in normal or diseased aorta has long been confirmed, the majority of existing computational model studies adopted the laminar flow assumption (LFA) in the treatment of sub-grid flow variables. So far, it remains unclear whether LFA would significantly compromise the reliability of hemodynamic simulation. In the present study, we addressed the issue in the context of a specific aortopathy,… More >